Same-day repeatability and Between-Sequence reproducibility of Mean ADC in PI-RADS lesions

•ADC measurements in prostate lesions show notable variability.•For quantitative ADC assessment, 3D-ROIs are superior to 2D-ROIs.•The cut-off for measurement-based ADC variability is approx. 200 × 10-6 mm2/s (3D-ROIs)•Sequential ADC measurements are feasible by different raters or sequences.•Two DWI...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of radiology Vol. 165; p. 110898
Main Authors Zhang, Kevin Sun, Neelsen, Christian Jan Oliver, Wennmann, Markus, Glemser, Philipp Alexander, Hielscher, Thomas, Weru, Vivienn, Görtz, Magdalena, Schütz, Viktoria, Stenzinger, Albrecht, Hohenfellner, Markus, Schlemmer, Heinz-Peter, Bonekamp, David
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.08.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract •ADC measurements in prostate lesions show notable variability.•For quantitative ADC assessment, 3D-ROIs are superior to 2D-ROIs.•The cut-off for measurement-based ADC variability is approx. 200 × 10-6 mm2/s (3D-ROIs)•Sequential ADC measurements are feasible by different raters or sequences.•Two DWI sequences demonstrate no significant bias and high comparability. This study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion coefficient (ADC) measurements in MRI-detected prostate lesions. Forty-three patients with suspicion for prostate cancer were included and received a clinical prostate bi-/multiparametric MRI examination with repeat scans of the T2-weighted and two DWI-weighted sequences (ssEPI and rsEPI). Two raters (R1 and R2) performed single-slice, 2D regions of interest (2D-ROIs) and 3D-segmentation-ROIs (3D-ROIs). Mean bias, corresponding limits of agreement (LoA), mean absolute difference, within-subject coefficient of variation (CoV) and repeatability/reproducibility coefficient (RC/RDC) were calculated. Bradley & Blackwood test was used for variance comparison. Linear mixed models (LMM) were used to account for multiple lesions per patient. Inter-scan repeatability, intra-rater and inter-sequence reproducibility analysis of ADC showed no significant bias. 3D-ROIs demonstrated significantly less variability than 2D-ROIs (p < 0.01). Inter-rater comparison demonstrated small significant systematic bias of 57 × 10-6 mm2/s for 3D-ROIs (p < 0.001). Intra-rater RC, with the lowest variation, was 145 and 189 × 10-6 mm2/s for 3D- and 2D-ROIs, respectively. For 3D-ROIs of ssEPI, RCs and RDCs were 190–198 × 10-6 mm2/s for inter-scan, inter-rater and inter-sequence variation. No significant differences were found for inter-scan, inter-rater and inter-sequence variability. In a single-scanner setting, single-slice ADC measurements showed considerable variation, which may be lowered using 3D-ROIs. For 3D-ROIs, we propose a cut-off of ∼ 200 × 10-6 mm2/s for differences introduced by repositioning, rater or sequence effects. The results suggest that follow-up measurements should be possible by different raters or sequences.
AbstractList This study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion coefficient (ADC) measurements in MRI-detected prostate lesions. Forty-three patients with suspicion for prostate cancer were included and received a clinical prostate bi-/multiparametric MRI examination with repeat scans of the T2-weighted and two DWI-weighted sequences (ssEPI and rsEPI). Two raters (R1 and R2) performed single-slice, 2D regions of interest (2D-ROIs) and 3D-segmentation-ROIs (3D-ROIs). Mean bias, corresponding limits of agreement (LoA), mean absolute difference, within-subject coefficient of variation (CoV) and repeatability/reproducibility coefficient (RC/RDC) were calculated. Bradley & Blackwood test was used for variance comparison. Linear mixed models (LMM) were used to account for multiple lesions per patient. Inter-scan repeatability, intra-rater and inter-sequence reproducibility analysis of ADC showed no significant bias. 3D-ROIs demonstrated significantly less variability than 2D-ROIs (p < 0.01). Inter-rater comparison demonstrated small significant systematic bias of 57 × 10 mm /s for 3D-ROIs (p < 0.001). Intra-rater RC, with the lowest variation, was 145 and 189 × 10 mm /s for 3D- and 2D-ROIs, respectively. For 3D-ROIs of ssEPI, RCs and RDCs were 190-198 × 10 mm /s for inter-scan, inter-rater and inter-sequence variation. No significant differences were found for inter-scan, inter-rater and inter-sequence variability. In a single-scanner setting, single-slice ADC measurements showed considerable variation, which may be lowered using 3D-ROIs. For 3D-ROIs, we propose a cut-off of ∼ 200 × 10 mm /s for differences introduced by repositioning, rater or sequence effects. The results suggest that follow-up measurements should be possible by different raters or sequences.
This study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion coefficient (ADC) measurements in MRI-detected prostate lesions.PURPOSEThis study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion coefficient (ADC) measurements in MRI-detected prostate lesions.Forty-three patients with suspicion for prostate cancer were included and received a clinical prostate bi-/multiparametric MRI examination with repeat scans of the T2-weighted and two DWI-weighted sequences (ssEPI and rsEPI). Two raters (R1 and R2) performed single-slice, 2D regions of interest (2D-ROIs) and 3D-segmentation-ROIs (3D-ROIs). Mean bias, corresponding limits of agreement (LoA), mean absolute difference, within-subject coefficient of variation (CoV) and repeatability/reproducibility coefficient (RC/RDC) were calculated. Bradley & Blackwood test was used for variance comparison. Linear mixed models (LMM) were used to account for multiple lesions per patient.METHODForty-three patients with suspicion for prostate cancer were included and received a clinical prostate bi-/multiparametric MRI examination with repeat scans of the T2-weighted and two DWI-weighted sequences (ssEPI and rsEPI). Two raters (R1 and R2) performed single-slice, 2D regions of interest (2D-ROIs) and 3D-segmentation-ROIs (3D-ROIs). Mean bias, corresponding limits of agreement (LoA), mean absolute difference, within-subject coefficient of variation (CoV) and repeatability/reproducibility coefficient (RC/RDC) were calculated. Bradley & Blackwood test was used for variance comparison. Linear mixed models (LMM) were used to account for multiple lesions per patient.Inter-scan repeatability, intra-rater and inter-sequence reproducibility analysis of ADC showed no significant bias. 3D-ROIs demonstrated significantly less variability than 2D-ROIs (p < 0.01). Inter-rater comparison demonstrated small significant systematic bias of 57 × 10-6 mm2/s for 3D-ROIs (p < 0.001). Intra-rater RC, with the lowest variation, was 145 and 189 × 10-6 mm2/s for 3D- and 2D-ROIs, respectively. For 3D-ROIs of ssEPI, RCs and RDCs were 190-198 × 10-6 mm2/s for inter-scan, inter-rater and inter-sequence variation. No significant differences were found for inter-scan, inter-rater and inter-sequence variability.RESULTSInter-scan repeatability, intra-rater and inter-sequence reproducibility analysis of ADC showed no significant bias. 3D-ROIs demonstrated significantly less variability than 2D-ROIs (p < 0.01). Inter-rater comparison demonstrated small significant systematic bias of 57 × 10-6 mm2/s for 3D-ROIs (p < 0.001). Intra-rater RC, with the lowest variation, was 145 and 189 × 10-6 mm2/s for 3D- and 2D-ROIs, respectively. For 3D-ROIs of ssEPI, RCs and RDCs were 190-198 × 10-6 mm2/s for inter-scan, inter-rater and inter-sequence variation. No significant differences were found for inter-scan, inter-rater and inter-sequence variability.In a single-scanner setting, single-slice ADC measurements showed considerable variation, which may be lowered using 3D-ROIs. For 3D-ROIs, we propose a cut-off of ∼ 200 × 10-6 mm2/s for differences introduced by repositioning, rater or sequence effects. The results suggest that follow-up measurements should be possible by different raters or sequences.CONCLUSIONSIn a single-scanner setting, single-slice ADC measurements showed considerable variation, which may be lowered using 3D-ROIs. For 3D-ROIs, we propose a cut-off of ∼ 200 × 10-6 mm2/s for differences introduced by repositioning, rater or sequence effects. The results suggest that follow-up measurements should be possible by different raters or sequences.
•ADC measurements in prostate lesions show notable variability.•For quantitative ADC assessment, 3D-ROIs are superior to 2D-ROIs.•The cut-off for measurement-based ADC variability is approx. 200 × 10-6 mm2/s (3D-ROIs)•Sequential ADC measurements are feasible by different raters or sequences.•Two DWI sequences demonstrate no significant bias and high comparability. This study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion coefficient (ADC) measurements in MRI-detected prostate lesions. Forty-three patients with suspicion for prostate cancer were included and received a clinical prostate bi-/multiparametric MRI examination with repeat scans of the T2-weighted and two DWI-weighted sequences (ssEPI and rsEPI). Two raters (R1 and R2) performed single-slice, 2D regions of interest (2D-ROIs) and 3D-segmentation-ROIs (3D-ROIs). Mean bias, corresponding limits of agreement (LoA), mean absolute difference, within-subject coefficient of variation (CoV) and repeatability/reproducibility coefficient (RC/RDC) were calculated. Bradley & Blackwood test was used for variance comparison. Linear mixed models (LMM) were used to account for multiple lesions per patient. Inter-scan repeatability, intra-rater and inter-sequence reproducibility analysis of ADC showed no significant bias. 3D-ROIs demonstrated significantly less variability than 2D-ROIs (p < 0.01). Inter-rater comparison demonstrated small significant systematic bias of 57 × 10-6 mm2/s for 3D-ROIs (p < 0.001). Intra-rater RC, with the lowest variation, was 145 and 189 × 10-6 mm2/s for 3D- and 2D-ROIs, respectively. For 3D-ROIs of ssEPI, RCs and RDCs were 190–198 × 10-6 mm2/s for inter-scan, inter-rater and inter-sequence variation. No significant differences were found for inter-scan, inter-rater and inter-sequence variability. In a single-scanner setting, single-slice ADC measurements showed considerable variation, which may be lowered using 3D-ROIs. For 3D-ROIs, we propose a cut-off of ∼ 200 × 10-6 mm2/s for differences introduced by repositioning, rater or sequence effects. The results suggest that follow-up measurements should be possible by different raters or sequences.
ArticleNumber 110898
Author Neelsen, Christian Jan Oliver
Stenzinger, Albrecht
Hielscher, Thomas
Görtz, Magdalena
Schlemmer, Heinz-Peter
Hohenfellner, Markus
Schütz, Viktoria
Zhang, Kevin Sun
Weru, Vivienn
Bonekamp, David
Wennmann, Markus
Glemser, Philipp Alexander
Author_xml – sequence: 1
  givenname: Kevin Sun
  surname: Zhang
  fullname: Zhang, Kevin Sun
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 2
  givenname: Christian Jan Oliver
  surname: Neelsen
  fullname: Neelsen, Christian Jan Oliver
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 3
  givenname: Markus
  surname: Wennmann
  fullname: Wennmann, Markus
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 4
  givenname: Philipp Alexander
  surname: Glemser
  fullname: Glemser, Philipp Alexander
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 5
  givenname: Thomas
  surname: Hielscher
  fullname: Hielscher, Thomas
  organization: Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 6
  givenname: Vivienn
  surname: Weru
  fullname: Weru, Vivienn
  organization: Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 7
  givenname: Magdalena
  surname: Görtz
  fullname: Görtz, Magdalena
  organization: Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany
– sequence: 8
  givenname: Viktoria
  surname: Schütz
  fullname: Schütz, Viktoria
  organization: Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany
– sequence: 9
  givenname: Albrecht
  surname: Stenzinger
  fullname: Stenzinger, Albrecht
  organization: Institute of Pathology, University of Heidelberg Medical Center, Heidelberg, Germany
– sequence: 10
  givenname: Markus
  surname: Hohenfellner
  fullname: Hohenfellner, Markus
  organization: Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany
– sequence: 11
  givenname: Heinz-Peter
  surname: Schlemmer
  fullname: Schlemmer, Heinz-Peter
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
– sequence: 12
  givenname: David
  surname: Bonekamp
  fullname: Bonekamp, David
  email: d.bonekamp@dkfz-heidelberg.de
  organization: Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37331287$$D View this record in MEDLINE/PubMed
BookMark eNqFkMtKAzEUQIMoWh9fIMgs3UxNMo9MEBe1PkFRrIK4CZnkBlKnGU1SpX_vjK0bF7q6m3Mu955ttO5aBwjtEzwkmJRH0yFMvdRDimk2JARXvFpDA1IxmjJG2ToaYEZxivPqeQtthzDFGBc5p5toK2NZRmjFBuhlImeQarlIPLyBjLK2jY2LRDqdnEL8BHDpBN7n4BT0iG_1XNkV1JrkFqRLRmfjxLrk_jp9GJ1NkgaCbV3YRRtGNgH2VnMHPV2cP46v0pu7y-vx6CZVeVHGVGkKtGaE6sqoUsm8LkxtjAIlOTOaE2WorgnHvMA6rzgjoEFSykxZEMpItoMOl3u747pDQxQzGxQ0jXTQzoOgFWVlWWDeowcrdF7PQIs3b2fSL8RPjw7gS0D5NgQPRigbZezeiV7aRhAs-vZiKr7bi769WLbv3OyX-7P-b-tkaUGX6MOCF0HZvra2HlQUurX_-Me_fNVYZ5VsXmHxr_0FH6yx2w
CitedBy_id crossref_primary_10_1186_s40644_024_00660_4
crossref_primary_10_1148_radiol_233055
Cites_doi 10.1002/jmri.27983
10.1097/RLI.0000000000000498
10.1016/j.eururo.2019.02.033
10.1259/bjr.20210842
10.1002/jmri.28093
10.1097/RLI.0000000000000712
10.1016/j.ejrad.2018.11.014
10.1016/j.mri.2021.06.013
10.1148/radiol.2018173064
10.1007/s00261-015-0396-x
10.1007/s11548-013-0840-8
10.1097/RLI.0000000000000569
10.1097/RLI.0000000000000382
10.1097/RLI.0000000000000772
10.1097/RLI.0000000000000520
10.1148/radiol.12112374
10.1097/RLI.0000000000000838
10.1016/S0140-6736(86)90837-8
10.1371/journal.pone.0168321
10.1148/radiol.2019181705
10.1371/journal.pone.0268829
10.1097/MD.0000000000016447
10.2214/AJR.17.18495
10.1016/j.eururo.2015.08.052
10.1007/s00261-019-01936-1
10.1148/radiol.212692
10.1016/j.ejrad.2021.109538
10.1016/j.mri.2007.03.030
10.1080/00031305.1989.10475665
10.5152/dir.2013.13034
10.1007/s00330-022-08880-7
10.1007/s00330-020-07522-0
10.1177/0962280211402548
10.1056/NEJMoa1801993
10.1259/bjr/14556365
ContentType Journal Article
Copyright 2023 Elsevier B.V.
Copyright © 2023 Elsevier B.V. All rights reserved.
Copyright_xml – notice: 2023 Elsevier B.V.
– notice: Copyright © 2023 Elsevier B.V. All rights reserved.
DBID AAYXX
CITATION
NPM
7X8
DOI 10.1016/j.ejrad.2023.110898
DatabaseName CrossRef
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
DatabaseTitleList PubMed
MEDLINE - Academic


Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1872-7727
ExternalDocumentID 37331287
10_1016_j_ejrad_2023_110898
S0720048X23002127
Genre Journal Article
GroupedDBID ---
--K
--M
.1-
.FO
.GJ
.~1
0R~
1B1
1P~
1RT
1~.
1~5
29G
4.4
457
4CK
4G.
53G
5GY
5RE
5VS
6PF
7-5
71M
8P~
9JM
AABNK
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AATTM
AAWTL
AAXKI
AAXUO
AAYWO
ABBQC
ABFNM
ABJNI
ABLJU
ABMAC
ABMZM
ABWVN
ABXDB
ACDAQ
ACIEU
ACIUM
ACRLP
ACRPL
ACVFH
ADBBV
ADCNI
ADEZE
ADMUD
ADNMO
AEBSH
AEIPS
AEKER
AENEX
AEUPX
AEVXI
AFJKZ
AFPUW
AFRHN
AFTJW
AFXIZ
AGCQF
AGHFR
AGQPQ
AGUBO
AGYEJ
AHHHB
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AJRQY
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
APXCP
ASPBG
AVWKF
AXJTR
AZFZN
BKOJK
BLXMC
BNPGV
CS3
EBS
EFJIC
EFKBS
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HEI
HMK
HMO
HVGLF
HZ~
IHE
J1W
KOM
M29
M41
MO0
N9A
O-L
O9-
OAUVE
OI~
OU0
OZT
P-8
P-9
P2P
PC.
Q38
R2-
ROL
RPZ
SAE
SDF
SDG
SEL
SES
SEW
SPCBC
SSH
SSZ
T5K
UV1
WUQ
Z5R
ZGI
~G-
AACTN
AFCTW
AFKWA
AJOXV
AMFUW
RIG
AAYXX
AGRNS
CITATION
NPM
7X8
ID FETCH-LOGICAL-c456t-cd2e2b712d8fc6ca4b5fbffceca97fd91cf2db190950d48971edea227f6512713
IEDL.DBID .~1
ISSN 0720-048X
1872-7727
IngestDate Fri Jul 11 12:42:44 EDT 2025
Wed Feb 19 02:23:11 EST 2025
Thu Apr 24 22:58:35 EDT 2025
Tue Jul 01 03:09:41 EDT 2025
Tue Dec 03 03:45:16 EST 2024
Tue Aug 26 16:32:08 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords ADC
Stability
rsEPI
CoV
RDC
Repeatability
LoAs
RC
Reproducibility
Test
PI-RADS
Retest
ssEPI
B&A plot
Prostate
Apparent diffusion coefficient
Language English
License Copyright © 2023 Elsevier B.V. All rights reserved.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c456t-cd2e2b712d8fc6ca4b5fbffceca97fd91cf2db190950d48971edea227f6512713
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink http://www.ejradiology.com/article/S0720048X23002127/pdf
PMID 37331287
PQID 2827665091
PQPubID 23479
ParticipantIDs proquest_miscellaneous_2827665091
pubmed_primary_37331287
crossref_citationtrail_10_1016_j_ejrad_2023_110898
crossref_primary_10_1016_j_ejrad_2023_110898
elsevier_sciencedirect_doi_10_1016_j_ejrad_2023_110898
elsevier_clinicalkey_doi_10_1016_j_ejrad_2023_110898
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate August 2023
2023-08-00
2023-Aug
20230801
PublicationDateYYYYMMDD 2023-08-01
PublicationDate_xml – month: 08
  year: 2023
  text: August 2023
PublicationDecade 2020
PublicationPlace Ireland
PublicationPlace_xml – name: Ireland
PublicationTitle European journal of radiology
PublicationTitleAlternate Eur J Radiol
PublicationYear 2023
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Bland, Altman (b0130) 1986; 1
Polanec, Helbich, Bickel, Wengert, Pinker, Spick, Clauser, Susani, Shariat, Baltzer (b0100) 2018; 53
Bradley, Blackwood (b0150) 1989; 43
Kivrak, Paksoy, Erol, Koplay, Ozbek, Kara (b0170) 2013
Zou (b0140) 2013; 22
Panda, Obmann, Lo, Margevicius, Jiang, Schluchter, Patel, Nakamoto, Badve, Griswold, Jaeger, Ponsky, Gulani (b0030) 2019; 292
Panda, OʼConnor, Lo, Jiang, Margevicius, Schluchter, Ponsky, Gulani (b0090) 2019; 54
Weinreb, Barentsz, Choyke, Cornud, Haider, Macura, Margolis, Schnall, Shtern, Tempany, Thoeny, Verma (b0015) 2016; 69
Wang X, Hielscher T, Radtke JP, et al. Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. Eur J Radiol. 2021;136:109538.
Chatterjee, Gallan, He, Fan, Mustafi, Yousuf, Antic, Karczmar, Oto (b0025) 2019; 44
Morgan, Riches, Thomas, Vanas, Parker, Giles, Desouza (b0110) 2011; 84
Sedlaczek, Kleesiek, Gallagher, Murray, Prinz, Perez-Lopez, Sala, Caramella, Diffetock, Lassau, Priest, Suzuki, Vargas, Giandini, Vaiani, Messina, Blomqvist, Beets-Tan, Oberrauch, Schlemmer, Bach (b0040) 2022; 32
Sushentsev, Caglic, Rundo, Kozlov, Sala, Gnanapragasam, Barrett (b0105) 2022; 95
Parker RA, Weir CJ, Rubio N, et al. Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients. PLoS One. 2016;11(12):e0168321.
Fedorov, Vangel, Tempany, Fennessy (b0050) 2017; 52
Litjens, Hambrock, Hulsbergen–van de Kaa, Barentsz, Huisman (b0160) 2012; 265
Takahashi, Yoshida, Kawashima, Lee, Froemming, Adamo, Khandelwal, Bolan, Heller, Hartman, Kim, Philbrick, Carter, Mynderse, Humphreys, Cai, Takahashi, Baltzer (b0185) 2022; 17
Kasivisvanathan, Rannikko, Borghi, Panebianco, Mynderse, Vaarala, Briganti, Budäus, Hellawell, Hindley, Roobol, Eggener, Ghei, Villers, Bladou, Villeirs, Virdi, Boxler, Robert, Singh, Venderink, Hadaschik, Ruffion, Hu, Margolis, Crouzet, Klotz, Taneja, Pinto, Gill, Allen, Giganti, Freeman, Morris, Punwani, Williams, Brew-Graves, Deeks, Takwoingi, Emberton, Moore (b0005) 2018; 378
Boss, Snyder, Kim (b0060) 2022
Sadinski, Medved, Karademir, Wang, Peng, Jiang, Sammet, Karczmar, Oto (b0070) 2015; 40
Hellms, Gutberlet, Peperhove, Pertschy, Henkenberens, Peters, Wacker, Derlin (b0175) 2019; 98
Turkbey, Rosenkrantz, Haider, Padhani, Villeirs, Macura, Tempany, Choyke, Cornud, Margolis, Thoeny, Verma, Barentsz, Weinreb (b0010) 2019; 76
Gibbs, Pickles, Turnbull (b0055) 2007; 25
Bonekamp, Kohl, Wiesenfarth, Schelb, Radtke, Götz, Kickingereder, Yaqubi, Hitthaler, Gählert, Kuder, Deister, Freitag, Hohenfellner, Hadaschik, Schlemmer, Maier-Hein (b0120) 2018; 289
Mai, Abubrig, Lehmann, Hilbert, Weiland, Grimm, Teichgräber, Franiel (b0085) 2019; 54
McGarry, Brehler, Bukowy, Lowman, Bobholz, Duenweg, Banerjee, Hurrell, Malyarenko, Chenevert, Cao, Li, You, Fedorov, Bell, Quarles, Prah, Schmainda, Taouli, LoCastro, Mazaheri, Shukla‐Dave, Yankeelov, Hormuth, Madhuranthakam, Hulsey, Li, Huang, Huang, Muzi, Jacobs, Solaiyappan, Hectors, Antic, Paner, Palangmonthip, Jacobsohn, Hohenwalter, Duvnjak, Griffin, See, Nevalainen, Iczkowski, LaViolette (b0095) 2022; 55
Michoux, Ceranka, Vandemeulebroucke, Peeters, Lu, Absil, Triqueneaux, Liu, Collette, Willekens, Brussaard, Debeir, Hahn, Raeymaekers, de Mey, Metens, Lecouvet (b0045) 2021; 31
Zhang, Schelb, Kohl, Radtke, Wiesenfarth, Schimmöller, Kuder, Stenzinger, Hohenfellner, Schlemmer, Maier-Hein, Bonekamp (b0020) 2021; 82
Tavakoli, Hielscher, Badura, Görtz, Kuder, Gnirs, Schwab, Hohenfellner, Schlemmer, Bonekamp (b0035) 2023; 306
Breit, Block, Winkel, Gehweiler, Glessgen, Seifert, Wetterauer, Boll, Heye (b0075) 2021; 56
Wennmann, Thierjung, Bauer, Weru, Hielscher, Grözinger, Gnirs, Sauer, Goldschmidt, Weinhold, Bonekamp, Schlemmer, Weber, Delorme, Rotkopf (b0165) 2022; 57
Tavakoli, Kuder, Tichy, Radtke, Görtz, Schütz, Stenzinger, Hohenfellner, Schlemmer, Bonekamp (b0080) 2021; 56
Bland, Altman (b0145) 1996; 312
Barrett, Lawrence, Priest, Warren, Gnanapragasam, Gallagher, Sala (b0065) 2019; 110
Nolden, Zelzer, Seitel, Wald, Müller, Franz, Maleike, Fangerau, Baumhauer, Maier-Hein, Maier-Hein, Meinzer, Wolf (b0125) 2013; 8
Holm (b0155) 1979; 6
Tamada, Huang, Ream, Taffel, Taneja, Rosenkrantz (b0180) 2018; 210
Kasivisvanathan (10.1016/j.ejrad.2023.110898_b0005) 2018; 378
Panda (10.1016/j.ejrad.2023.110898_b0030) 2019; 292
Litjens (10.1016/j.ejrad.2023.110898_b0160) 2012; 265
Bradley (10.1016/j.ejrad.2023.110898_b0150) 1989; 43
Holm (10.1016/j.ejrad.2023.110898_b0155) 1979; 6
Breit (10.1016/j.ejrad.2023.110898_b0075) 2021; 56
10.1016/j.ejrad.2023.110898_b0135
Barrett (10.1016/j.ejrad.2023.110898_b0065) 2019; 110
McGarry (10.1016/j.ejrad.2023.110898_b0095) 2022; 55
Zou (10.1016/j.ejrad.2023.110898_b0140) 2013; 22
Fedorov (10.1016/j.ejrad.2023.110898_b0050) 2017; 52
Chatterjee (10.1016/j.ejrad.2023.110898_b0025) 2019; 44
Hellms (10.1016/j.ejrad.2023.110898_b0175) 2019; 98
Zhang (10.1016/j.ejrad.2023.110898_b0020) 2021; 82
Tamada (10.1016/j.ejrad.2023.110898_b0180) 2018; 210
Mai (10.1016/j.ejrad.2023.110898_b0085) 2019; 54
Tavakoli (10.1016/j.ejrad.2023.110898_b0035) 2023; 306
Polanec (10.1016/j.ejrad.2023.110898_b0100) 2018; 53
Sushentsev (10.1016/j.ejrad.2023.110898_b0105) 2022; 95
Morgan (10.1016/j.ejrad.2023.110898_b0110) 2011; 84
Gibbs (10.1016/j.ejrad.2023.110898_b0055) 2007; 25
Panda (10.1016/j.ejrad.2023.110898_b0090) 2019; 54
Sedlaczek (10.1016/j.ejrad.2023.110898_b0040) 2022; 32
Bland (10.1016/j.ejrad.2023.110898_b0130) 1986; 1
Takahashi (10.1016/j.ejrad.2023.110898_b0185) 2022; 17
Boss (10.1016/j.ejrad.2023.110898_b0060) 2022
Sadinski (10.1016/j.ejrad.2023.110898_b0070) 2015; 40
Wennmann (10.1016/j.ejrad.2023.110898_b0165) 2022; 57
Michoux (10.1016/j.ejrad.2023.110898_b0045) 2021; 31
Tavakoli (10.1016/j.ejrad.2023.110898_b0080) 2021; 56
Bonekamp (10.1016/j.ejrad.2023.110898_b0120) 2018; 289
10.1016/j.ejrad.2023.110898_b0115
Bland (10.1016/j.ejrad.2023.110898_b0145) 1996; 312
Nolden (10.1016/j.ejrad.2023.110898_b0125) 2013; 8
Kivrak (10.1016/j.ejrad.2023.110898_b0170) 2013
Weinreb (10.1016/j.ejrad.2023.110898_b0015) 2016; 69
Turkbey (10.1016/j.ejrad.2023.110898_b0010) 2019; 76
References_xml – volume: 56
  start-page: 94
  year: 2021
  end-page: 102
  ident: b0080
  article-title: Measured multipoint ultra-high b-value diffusion MRI in the assessment of MRI-detected prostate lesions
  publication-title: Invest. Radiol.
– volume: 54
  start-page: 485
  year: 2019
  end-page: 493
  ident: b0090
  article-title: Targeted biopsy validation of peripheral zone prostate cancer characterization with magnetic resonance fingerprinting and diffusion mapping
  publication-title: Invest. Radiol.
– volume: 306
  start-page: 186
  year: 2023
  end-page: 199
  ident: b0035
  article-title: Contribution of dynamic contrast-enhanced and diffusion MRI to PI-RADS for detecting clinically significant prostate cancer
  publication-title: Radiology
– reference: Parker RA, Weir CJ, Rubio N, et al. Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients. PLoS One. 2016;11(12):e0168321.
– volume: 56
  start-page: 553
  year: 2021
  end-page: 562
  ident: b0075
  article-title: Revisiting DCE-MRI: classification of prostate tissue using descriptive signal enhancement features derived From DCE-MRI acquisition with high spatiotemporal resolution
  publication-title: Invest. Radiol.
– volume: 292
  start-page: 685
  year: 2019
  end-page: 694
  ident: b0030
  article-title: MR fingerprinting and ADC mapping for characterization of lesions in the transition zone of the prostate gland
  publication-title: Radiology
– volume: 84
  start-page: 31
  year: 2011
  end-page: 37
  ident: b0110
  article-title: Diffusion-weighted magnetic resonance imaging for monitoring prostate cancer progression in patients managed by active surveillance
  publication-title: Br. J. Radiol.
– year: 2013
  ident: b0170
  article-title: Comparison of apparent diffusion coefficient values among different MRI platforms: a multicenter phantom study
  publication-title: Diagn. Interv. Radiol.
– volume: 44
  start-page: 2233
  year: 2019
  end-page: 2243
  ident: b0025
  article-title: Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancer
  publication-title: Abdom Radiol (NY).
– volume: 8
  start-page: 607
  year: 2013
  end-page: 620
  ident: b0125
  article-title: The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development
  publication-title: Int. J. Comput. Assist. Radiol. Surg.
– volume: 31
  start-page: 4514
  year: 2021
  end-page: 4527
  ident: b0045
  article-title: Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study
  publication-title: Eur. Radiol.
– volume: 289
  start-page: 128
  year: 2018
  end-page: 137
  ident: b0120
  article-title: Radiomic machine learning for characterization of prostate lesions with MRI: Comparison to ADC Values
  publication-title: Radiology
– volume: 82
  start-page: 9
  year: 2021
  end-page: 17
  ident: b0020
  article-title: Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC
  publication-title: Magn. Reson. Imaging
– volume: 57
  start-page: 272
  year: 2022
  end-page: 281
  ident: b0165
  article-title: Repeatability and Reproducibility of ADC measurements and MRI signal intensity measurements of bone marrow in monoclonal plasma cell disorders: a prospective Bi-institutional Multiscanner, Multiprotocol Study
  publication-title: Invest. Radiol.
– reference: Wang X, Hielscher T, Radtke JP, et al. Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. Eur J Radiol. 2021;136:109538.
– volume: 69
  start-page: 16
  year: 2016
  end-page: 40
  ident: b0015
  article-title: PI-RADS prostate imaging - reporting and data system: 2015, version 2
  publication-title: Eur. Urol.
– volume: 95
  year: 2022
  ident: b0105
  article-title: Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progression
  publication-title: Br. J. Radiol.
– volume: 32
  start-page: 8617
  year: 2022
  end-page: 8628
  ident: b0040
  article-title: Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
  publication-title: Eur. Radiol.
– volume: 210
  start-page: 113
  year: 2018
  end-page: 117
  ident: b0180
  article-title: Apparent diffusion coefficient values of prostate cancer: comparison of 2D and 3D ROIs
  publication-title: AJR Am. J. Roentgenol.
– volume: 265
  start-page: 260
  year: 2012
  end-page: 266
  ident: b0160
  article-title: Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressiveness
  publication-title: Radiology
– volume: 40
  start-page: 2523
  year: 2015
  end-page: 2528
  ident: b0070
  article-title: Short-term reproducibility of apparent diffusion coefficient estimated from diffusion-weighted MRI of the prostate
  publication-title: Abdom. Imaging
– volume: 53
  start-page: 736
  year: 2018
  end-page: 741
  ident: b0100
  article-title: Quantitative apparent diffusion coefficient derived from diffusion-weighted imaging has the potential to avoid unnecessary MRI-guided biopsies of mpMRI-detected PI-RADS 4 and 5 Lesions
  publication-title: Invest. Radiol.
– volume: 22
  start-page: 630
  year: 2013
  end-page: 642
  ident: b0140
  article-title: Confidence interval estimation for the Bland-Altman limits of agreement with multiple observations per individual
  publication-title: Stat. Methods Med. Res.
– volume: 17
  start-page: e0268829
  year: 2022
  ident: b0185
  article-title: Impact of measurement method on interobserver variability of apparent diffusion coefficient of lesions in prostate MRI
  publication-title: PLoS One
– volume: 25
  start-page: 1423
  year: 2007
  end-page: 1429
  ident: b0055
  article-title: Repeatability of echo-planar-based diffusion measurements of the human prostate at 3 T
  publication-title: Magn. Reson. Imaging
– volume: 6
  start-page: 65
  year: 1979
  end-page: 70
  ident: b0155
  article-title: A simple sequentially rejective multiple test procedure
  publication-title: Scand. J. Stat.
– year: 2022
  ident: b0060
  article-title: Repeatability and reproducibility assessment of the apparent diffusion coefficient in the prostate: a trial of the ECOG-ACRIN Research Group (ACRIN 6701)
  publication-title: J. Magn. Reson. Imaging
– volume: 312
  start-page: 1654
  year: 1996
  ident: b0145
  publication-title: Measurement error. Bmj.
– volume: 52
  start-page: 538
  year: 2017
  end-page: 546
  ident: b0050
  article-title: Multiparametric magnetic resonance imaging of the prostate: repeatability of volume and apparent diffusion coefficient quantification
  publication-title: Invest. Radiol.
– volume: 43
  start-page: 234
  year: 1989
  end-page: 235
  ident: b0150
  article-title: Comparing paired data: a simultaneous test for means and variances
  publication-title: The American Statistician
– volume: 378
  start-page: 1767
  year: 2018
  end-page: 1777
  ident: b0005
  article-title: MRI-targeted or standard biopsy for prostate-cancer diagnosis
  publication-title: N. Engl. J. Med.
– volume: 76
  start-page: 340
  year: 2019
  end-page: 351
  ident: b0010
  article-title: Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2
  publication-title: Eur. Urol.
– volume: 54
  start-page: 146
  year: 2019
  end-page: 152
  ident: b0085
  article-title: T2 mapping in prostate cancer
  publication-title: Invest. Radiol.
– volume: 98
  start-page: e16447
  year: 2019
  ident: b0175
  article-title: Applicability of readout-segmented echoplanar diffusion weighted imaging for prostate MRI
  publication-title: Medicine
– volume: 1
  start-page: 307
  year: 1986
  end-page: 310
  ident: b0130
  article-title: Statistical methods for assessing agreement between two methods of clinical measurement
  publication-title: Lancet
– volume: 110
  start-page: 22
  year: 2019
  end-page: 29
  ident: b0065
  article-title: Repeatability of diffusion-weighted MRI of the prostate using whole lesion ADC values, skew and histogram analysis
  publication-title: Eur. J. Radiol.
– volume: 55
  start-page: 1745
  year: 2022
  end-page: 1758
  ident: b0095
  article-title: Multi-site concordance of diffusion-weighted imaging quantification for assessing prostate cancer aggressiveness
  publication-title: J. Magn. Reson. Imaging
– volume: 55
  start-page: 1745
  issue: 6
  year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0095
  article-title: Multi-site concordance of diffusion-weighted imaging quantification for assessing prostate cancer aggressiveness
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.27983
– volume: 53
  start-page: 736
  issue: 12
  year: 2018
  ident: 10.1016/j.ejrad.2023.110898_b0100
  article-title: Quantitative apparent diffusion coefficient derived from diffusion-weighted imaging has the potential to avoid unnecessary MRI-guided biopsies of mpMRI-detected PI-RADS 4 and 5 Lesions
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000498
– volume: 312
  start-page: 1654
  issue: 7047
  year: 1996
  ident: 10.1016/j.ejrad.2023.110898_b0145
  publication-title: Measurement error. Bmj.
– volume: 76
  start-page: 340
  issue: 3
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0010
  article-title: Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2
  publication-title: Eur. Urol.
  doi: 10.1016/j.eururo.2019.02.033
– volume: 95
  issue: 1131
  year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0105
  article-title: Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progression
  publication-title: Br. J. Radiol.
  doi: 10.1259/bjr.20210842
– year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0060
  article-title: Repeatability and reproducibility assessment of the apparent diffusion coefficient in the prostate: a trial of the ECOG-ACRIN Research Group (ACRIN 6701)
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.28093
– volume: 56
  start-page: 94
  issue: 2
  year: 2021
  ident: 10.1016/j.ejrad.2023.110898_b0080
  article-title: Measured multipoint ultra-high b-value diffusion MRI in the assessment of MRI-detected prostate lesions
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000712
– volume: 110
  start-page: 22
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0065
  article-title: Repeatability of diffusion-weighted MRI of the prostate using whole lesion ADC values, skew and histogram analysis
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2018.11.014
– volume: 82
  start-page: 9
  year: 2021
  ident: 10.1016/j.ejrad.2023.110898_b0020
  article-title: Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2021.06.013
– volume: 289
  start-page: 128
  issue: 1
  year: 2018
  ident: 10.1016/j.ejrad.2023.110898_b0120
  article-title: Radiomic machine learning for characterization of prostate lesions with MRI: Comparison to ADC Values
  publication-title: Radiology
  doi: 10.1148/radiol.2018173064
– volume: 40
  start-page: 2523
  issue: 7
  year: 2015
  ident: 10.1016/j.ejrad.2023.110898_b0070
  article-title: Short-term reproducibility of apparent diffusion coefficient estimated from diffusion-weighted MRI of the prostate
  publication-title: Abdom. Imaging
  doi: 10.1007/s00261-015-0396-x
– volume: 8
  start-page: 607
  issue: 4
  year: 2013
  ident: 10.1016/j.ejrad.2023.110898_b0125
  article-title: The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development
  publication-title: Int. J. Comput. Assist. Radiol. Surg.
  doi: 10.1007/s11548-013-0840-8
– volume: 54
  start-page: 485
  issue: 8
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0090
  article-title: Targeted biopsy validation of peripheral zone prostate cancer characterization with magnetic resonance fingerprinting and diffusion mapping
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000569
– volume: 52
  start-page: 538
  issue: 9
  year: 2017
  ident: 10.1016/j.ejrad.2023.110898_b0050
  article-title: Multiparametric magnetic resonance imaging of the prostate: repeatability of volume and apparent diffusion coefficient quantification
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000382
– volume: 56
  start-page: 553
  issue: 9
  year: 2021
  ident: 10.1016/j.ejrad.2023.110898_b0075
  article-title: Revisiting DCE-MRI: classification of prostate tissue using descriptive signal enhancement features derived From DCE-MRI acquisition with high spatiotemporal resolution
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000772
– volume: 54
  start-page: 146
  issue: 3
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0085
  article-title: T2 mapping in prostate cancer
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000520
– volume: 265
  start-page: 260
  issue: 1
  year: 2012
  ident: 10.1016/j.ejrad.2023.110898_b0160
  article-title: Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressiveness
  publication-title: Radiology
  doi: 10.1148/radiol.12112374
– volume: 57
  start-page: 272
  issue: 4
  year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0165
  article-title: Repeatability and Reproducibility of ADC measurements and MRI signal intensity measurements of bone marrow in monoclonal plasma cell disorders: a prospective Bi-institutional Multiscanner, Multiprotocol Study
  publication-title: Invest. Radiol.
  doi: 10.1097/RLI.0000000000000838
– volume: 1
  start-page: 307
  issue: 8476
  year: 1986
  ident: 10.1016/j.ejrad.2023.110898_b0130
  article-title: Statistical methods for assessing agreement between two methods of clinical measurement
  publication-title: Lancet
  doi: 10.1016/S0140-6736(86)90837-8
– ident: 10.1016/j.ejrad.2023.110898_b0135
  doi: 10.1371/journal.pone.0168321
– volume: 292
  start-page: 685
  issue: 3
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0030
  article-title: MR fingerprinting and ADC mapping for characterization of lesions in the transition zone of the prostate gland
  publication-title: Radiology
  doi: 10.1148/radiol.2019181705
– volume: 17
  start-page: e0268829
  issue: 5
  year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0185
  article-title: Impact of measurement method on interobserver variability of apparent diffusion coefficient of lesions in prostate MRI
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0268829
– volume: 98
  start-page: e16447
  issue: 29
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0175
  article-title: Applicability of readout-segmented echoplanar diffusion weighted imaging for prostate MRI
  publication-title: Medicine
  doi: 10.1097/MD.0000000000016447
– volume: 210
  start-page: 113
  issue: 1
  year: 2018
  ident: 10.1016/j.ejrad.2023.110898_b0180
  article-title: Apparent diffusion coefficient values of prostate cancer: comparison of 2D and 3D ROIs
  publication-title: AJR Am. J. Roentgenol.
  doi: 10.2214/AJR.17.18495
– volume: 69
  start-page: 16
  issue: 1
  year: 2016
  ident: 10.1016/j.ejrad.2023.110898_b0015
  article-title: PI-RADS prostate imaging - reporting and data system: 2015, version 2
  publication-title: Eur. Urol.
  doi: 10.1016/j.eururo.2015.08.052
– volume: 44
  start-page: 2233
  issue: 6
  year: 2019
  ident: 10.1016/j.ejrad.2023.110898_b0025
  article-title: Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancer
  publication-title: Abdom Radiol (NY).
  doi: 10.1007/s00261-019-01936-1
– volume: 306
  start-page: 186
  issue: 1
  year: 2023
  ident: 10.1016/j.ejrad.2023.110898_b0035
  article-title: Contribution of dynamic contrast-enhanced and diffusion MRI to PI-RADS for detecting clinically significant prostate cancer
  publication-title: Radiology
  doi: 10.1148/radiol.212692
– ident: 10.1016/j.ejrad.2023.110898_b0115
  doi: 10.1016/j.ejrad.2021.109538
– volume: 25
  start-page: 1423
  issue: 10
  year: 2007
  ident: 10.1016/j.ejrad.2023.110898_b0055
  article-title: Repeatability of echo-planar-based diffusion measurements of the human prostate at 3 T
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2007.03.030
– volume: 43
  start-page: 234
  issue: 4
  year: 1989
  ident: 10.1016/j.ejrad.2023.110898_b0150
  article-title: Comparing paired data: a simultaneous test for means and variances
  publication-title: The American Statistician
  doi: 10.1080/00031305.1989.10475665
– year: 2013
  ident: 10.1016/j.ejrad.2023.110898_b0170
  article-title: Comparison of apparent diffusion coefficient values among different MRI platforms: a multicenter phantom study
  publication-title: Diagn. Interv. Radiol.
  doi: 10.5152/dir.2013.13034
– volume: 32
  start-page: 8617
  issue: 12
  year: 2022
  ident: 10.1016/j.ejrad.2023.110898_b0040
  article-title: Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-022-08880-7
– volume: 31
  start-page: 4514
  issue: 7
  year: 2021
  ident: 10.1016/j.ejrad.2023.110898_b0045
  article-title: Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-020-07522-0
– volume: 22
  start-page: 630
  issue: 6
  year: 2013
  ident: 10.1016/j.ejrad.2023.110898_b0140
  article-title: Confidence interval estimation for the Bland-Altman limits of agreement with multiple observations per individual
  publication-title: Stat. Methods Med. Res.
  doi: 10.1177/0962280211402548
– volume: 6
  start-page: 65
  issue: 2
  year: 1979
  ident: 10.1016/j.ejrad.2023.110898_b0155
  article-title: A simple sequentially rejective multiple test procedure
  publication-title: Scand. J. Stat.
– volume: 378
  start-page: 1767
  issue: 19
  year: 2018
  ident: 10.1016/j.ejrad.2023.110898_b0005
  article-title: MRI-targeted or standard biopsy for prostate-cancer diagnosis
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1801993
– volume: 84
  start-page: 31
  issue: 997
  year: 2011
  ident: 10.1016/j.ejrad.2023.110898_b0110
  article-title: Diffusion-weighted magnetic resonance imaging for monitoring prostate cancer progression in patients managed by active surveillance
  publication-title: Br. J. Radiol.
  doi: 10.1259/bjr/14556365
SSID ssj0005492
Score 2.3983529
Snippet •ADC measurements in prostate lesions show notable variability.•For quantitative ADC assessment, 3D-ROIs are superior to 2D-ROIs.•The cut-off for...
This study aimed to assess repeatability after repositioning (inter-scan), intra-rater, inter-rater and inter-sequence variability of mean apparent diffusion...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 110898
SubjectTerms ADC
Apparent diffusion coefficient
Prostate
Repeatability
Reproducibility
Retest
Stability
Test
Title Same-day repeatability and Between-Sequence reproducibility of Mean ADC in PI-RADS lesions
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0720048X23002127
https://dx.doi.org/10.1016/j.ejrad.2023.110898
https://www.ncbi.nlm.nih.gov/pubmed/37331287
https://www.proquest.com/docview/2827665091
Volume 165
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5EQbyIb-uLFTy6NtlussmxVqUqFbEKxcuy2QdUNC21Hrz4293ZbIoeVPCYMEuSmcnkm-w3MwgdacVyw3VKJLUuQaE5JZIrRaLE8IjJSFIKxcm9m7T7wK4GyWAOdepaGKBVhthfxXQfrcOZZtBmczwcNvsRBwtnAweifZ9yqGBnHLz85OMLzYP5wcggTEC67jzkOV7maSKhXShteTp8nv30dfoJffqv0MUKWg7wEberO1xFc6ZcQ4u9sEG-jh778sUQLd_xxIxdmK26cL9jWWp8WlGySD-wp0HE93sdBqGRxT0jS9w-6-BhiW8vyV37rI-fDfxRe91ADxfn950uCeMTiHKoaEqUpoYWPKY6sypVkhWJLaxVRsmcW53HylJdOECQJ5FmWc5jo42zDbepQwEued1E8-WoNNsIO9CipGxllilIUZK8FemUy5g5eBSZTDYQrdUmVOgtDiMunkVNInsSXtcCdC0qXTfQ8WzRuGqt8bs4q-0h6qpRF-eEC_2_L0tny7451t8LD2ujC_fKwT6KLM3o7VW4LJWn0HkwbqCtyhtmD9CCGZguC93572V30RIcVRzDPTQ_nbyZfYd7psWBd-wDtNC-vO7efAJ1Ff-7
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dT9swED8xkDZeEOyzDDYj7XFeE9eJk8euDJWNIrSCVO3FcvwhFUFalfLAC387Z8epxgNM2mtypyR39vl38fl3AF-M5qUVJqeKOUxQWMmoElrTJLMi4SpRjPnDyaPTfHjBf06yyRoM2rMwvqwyxv4mpodoHa90ozW78-m0O06E93AxQRAdeMpfwAbH6evbGHy7_6vOg4fOyF6aevGWeigUednLhfJ8oawX6uHL4qnl6Sn4GZaho23YiviR9JtX3IE1W7-Gl6O4Q_4G_ozVtaVG3ZGFnWOcbWi474iqDfne1GTRcSyf9iKB8HUahWaOjKyqSf9wQKY1OTumv_uHY3Jl_S-1m7dwcfTjfDCksX8C1QiLllQbZlklUmYKp3OteJW5yjlttSqFM2WqHTMVIoIySwwvSpFaY9E5wuUIAzB7fQfr9ay2H4AgatFK9QrHtc9RsrKXmFyolCM-SmyhOsBas0kdycV9j4sr2VaRXcpga-ltLRtbd-DrSmnecGs8L85bf8j22CgGOomx_3m1fKX2aGT9W_GgdbrEOec3UlRtZ7c3EtNUkXvqwbQD75vRsPqAnm-CiWno7v8-9jO8Gp6PTuTJ8emvj7Dp7zQFh3uwvlzc2n0EQcvqUxjkDz_yAVg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Same-day+repeatability+and+Between-Sequence+reproducibility+of+Mean+ADC+in+PI-RADS+lesions&rft.jtitle=European+journal+of+radiology&rft.au=Zhang%2C+Kevin+Sun&rft.au=Neelsen%2C+Christian+Jan+Oliver&rft.au=Wennmann%2C+Markus&rft.au=Glemser%2C+Philipp+Alexander&rft.date=2023-08-01&rft.issn=0720-048X&rft.volume=165&rft.spage=110898&rft_id=info:doi/10.1016%2Fj.ejrad.2023.110898&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ejrad_2023_110898
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0720-048X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0720-048X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0720-048X&client=summon