Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes

To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method. Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two ins...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of radiology Vol. 106; pp. 122 - 127
Main Authors Long (龙淼淼), Miaomiao, Wang (王蕾), Lei, Mou (牟玲), Ling, Zhang (张可), Ke, Liu (刘丽华), Lihua, Li (李艳艳), Yanyan, Liu (刘晓斌), Xiaobin, Yu (于文娟), Wenjuan, Gao (高光峰), Guangfeng, Chen (陈新娟), Xinjuan, Shen (沈文), Wen, Shrestha, Apurwa
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.09.2018
Subjects
Online AccessGet full text
ISSN0720-048X
1872-7727
1872-7727
DOI10.1016/j.ejrad.2018.07.022

Cover

Abstract To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method. Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis. The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228–0.9793; individual and mega Z-Score: 0.7111–0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030–1.0000; individual and mega ADC 0.3268–0.9618). Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.
AbstractList To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method. Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis. The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618). Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.
To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.PURPOSETo determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.MATERIALS AND METHODSDiffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618).RESULTSThe ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618).Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.CONCLUSIONZ-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.
Author Li (李艳艳), Yanyan
Shrestha, Apurwa
Yu (于文娟), Wenjuan
Wang (王蕾), Lei
Gao (高光峰), Guangfeng
Liu (刘丽华), Lihua
Liu (刘晓斌), Xiaobin
Zhang (张可), Ke
Mou (牟玲), Ling
Chen (陈新娟), Xinjuan
Long (龙淼淼), Miaomiao
Shen (沈文), Wen
Author_xml – sequence: 1
  givenname: Miaomiao
  orcidid: 0000-0002-1064-8922
  surname: Long (龙淼淼)
  fullname: Long (龙淼淼), Miaomiao
  email: miaomiaolong@126.com, 38495737@qq.com
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 2
  givenname: Lei
  surname: Wang (王蕾)
  fullname: Wang (王蕾), Lei
  organization: School of Chinese Medicine, Tianjin University of TCM, Tianjin 300193, China
– sequence: 3
  givenname: Ling
  surname: Mou (牟玲)
  fullname: Mou (牟玲), Ling
  organization: Department of Radiology, People’s Hospital of Rizhao City, Rizhao, 276827, China
– sequence: 4
  givenname: Ke
  surname: Zhang (张可)
  fullname: Zhang (张可), Ke
  organization: Department of Radiology, People’s Hospital of Rizhao City, Rizhao, 276827, China
– sequence: 5
  givenname: Lihua
  surname: Liu (刘丽华)
  fullname: Liu (刘丽华), Lihua
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 6
  givenname: Yanyan
  surname: Li (李艳艳)
  fullname: Li (李艳艳), Yanyan
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 7
  givenname: Xiaobin
  surname: Liu (刘晓斌)
  fullname: Liu (刘晓斌), Xiaobin
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 8
  givenname: Wenjuan
  surname: Yu (于文娟)
  fullname: Yu (于文娟), Wenjuan
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 9
  givenname: Guangfeng
  surname: Gao (高光峰)
  fullname: Gao (高光峰), Guangfeng
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 10
  givenname: Xinjuan
  surname: Chen (陈新娟)
  fullname: Chen (陈新娟), Xinjuan
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 11
  givenname: Wen
  surname: Shen (沈文)
  fullname: Shen (沈文), Wen
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
– sequence: 12
  givenname: Apurwa
  surname: Shrestha
  fullname: Shrestha, Apurwa
  organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30150033$$D View this record in MEDLINE/PubMed
BookMark eNqFkU1vEzEQhi1URNPCL0BCPnLZxR-72V0Qhyh8SpU4ABLiYk3sMTh47dT2psq_Z9sUDr3kZI31PKPR-16QsxADEvKcs5ozvny1rXGbwNSC8b5mXc2EeEQWvO9E1XWiOyML1glWsab_cU4uct4yxtpmEE_IuWS8ZUzKBXE_q686JqQlQcg2phGKi4FGS1fv1nQPfsL8mq7oDRxoiXQKbo8pg6d6KjNl6QbLDWKgI3j3K0AoFIKZf8M8UX8Yd79piAbzU_LYgs_47P69JN8_vP-2_lRdffn4eb26qnTDealAbqAfNLZatNYASG5RQ7-UjbZLYSWANk1jB8M2IEEMTA4bgzhYodum6Yy8JC-Pe3cpXs_HFzW6rNF7CBinrAQb2lb2YljO6It7dNqMaNQuuRHSQf2LZwbkEdAp5pzQ_kc4U7clqK26K0HdlqBYp-YSZmt4YGlX7mKdQ3b-hPv26OIc0d5hUlk7DBqNS6iLMtGd8N888LV3wWnwf_Bw0v4LX0K4wg
CitedBy_id crossref_primary_10_1007_s00234_019_02236_7
crossref_primary_10_1093_sexmed_qfaf009
crossref_primary_10_1177_1971400919849808
Cites_doi 10.3174/ajnr.A4114
10.3892/mco.2017.1153
10.1007/s12018-009-9064-4
10.3348/kjr.2012.13.4.458
10.1002/jmri.23925
10.2967/jnumed.107.045385
10.1007/s11596-017-1759-z
10.1016/j.acra.2011.10.027
10.1002/jmri.22542
10.1007/s00432-014-1895-9
10.1002/jmri.21635
10.1016/j.ejrad.2016.03.019
10.1016/j.ygyno.2011.03.023
10.1016/j.ejrad.2013.08.007
10.1186/s12957-016-0906-5
10.1002/jmri.24014
10.18632/oncotarget.21055
10.7314/APJCP.2014.15.19.8271
10.1159/000456006
ContentType Journal Article
Copyright 2018 Elsevier B.V.
Copyright © 2018 Elsevier B.V. All rights reserved.
Copyright_xml – notice: 2018 Elsevier B.V.
– notice: Copyright © 2018 Elsevier B.V. All rights reserved.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1016/j.ejrad.2018.07.022
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE
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
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1872-7727
EndPage 127
ExternalDocumentID 30150033
10_1016_j_ejrad_2018_07_022
S0720048X18302626
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
AAIAV
ABLVK
ABYKQ
AFCTW
AFKWA
AJBFU
AJOXV
AMFUW
EFLBG
LCYCR
RIG
ZA5
AAYXX
AGRNS
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
ID FETCH-LOGICAL-c411t-a3ba89ce5c25fdaa31feca8634cf62f3aacd44f9d0ba3a29039bdee9f2c5447d3
IEDL.DBID AIKHN
ISSN 0720-048X
1872-7727
IngestDate Thu Sep 04 20:27:56 EDT 2025
Wed Feb 19 02:43:21 EST 2025
Tue Jul 01 03:09:24 EDT 2025
Thu Apr 24 23:03:08 EDT 2025
Fri Feb 23 02:19:39 EST 2024
Tue Aug 26 18:11:30 EDT 2025
IsPeerReviewed true
IsScholarly true
Keywords Sensitivity and specificity
Z-Score
Diffusion magnetic resonance imaging
Lymph nodes
Apparent diffusion coefficient
Language English
License Copyright © 2018 Elsevier B.V. All rights reserved.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c411t-a3ba89ce5c25fdaa31feca8634cf62f3aacd44f9d0ba3a29039bdee9f2c5447d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-1064-8922
PMID 30150033
PQID 2095538296
PQPubID 23479
PageCount 6
ParticipantIDs proquest_miscellaneous_2095538296
pubmed_primary_30150033
crossref_primary_10_1016_j_ejrad_2018_07_022
crossref_citationtrail_10_1016_j_ejrad_2018_07_022
elsevier_sciencedirect_doi_10_1016_j_ejrad_2018_07_022
elsevier_clinicalkey_doi_10_1016_j_ejrad_2018_07_022
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate September 2018
2018-09-00
2018-Sep
20180901
PublicationDateYYYYMMDD 2018-09-01
PublicationDate_xml – month: 09
  year: 2018
  text: September 2018
PublicationDecade 2010
PublicationPlace Ireland
PublicationPlace_xml – name: Ireland
PublicationTitle European journal of radiology
PublicationTitleAlternate Eur J Radiol
PublicationYear 2018
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Zhang, Ren, Xue, Zhou, Sun, Jin (bib0095) 2014; 36
Wu, Xu, Hua, Gu, Zhu, Hu (bib0015) 2013; 38
Mosconi, Tsui, Herholz (bib0040) 2008; 49
Cheng, Wang, Deng (bib0075) 2013; 37
Xing, Song, Li (bib0025) 2016; 85
Luo, Song, Liu (bib0045) 2017; 8
Sun, Jiang, Guo, Zhang (bib0020) 2014; 15
Carey, Delaney (bib0035) 2010; 8
Sui, Chen, Peng, Ye, Wu (bib0065) 2016; 14
Chen, Wang, Zheng, Tang, Han, Tu (bib0055) 2017; 6
Cho, Kim, Yoon (bib0070) 2013; 82
Kolff-Gart, Pouwels, Noij (bib0030) 2015; 36
Wang, Liao, Zhang, Yu, Bai, Sun (bib0085) 2012; 13
Wu, Xu, Liu (bib0010) 2012; 19
Eiber, Holzapfel, Ganter (bib0100) 2011; 33
Sumi, Sakihama, Sumi (bib0110) 2003; 24
Liu, Liu, Bai (bib0090) 2011; 122
Xing, Sheng, Chen, Tian, Bi (bib0105) 2011; 124
Liu, Gao, Li (bib0060) 2017; 82
Zhou, Lu, Lv (bib0005) 2015; 141
Park, Kim, Kim (bib0080) 2009; 29
Kong, Xiong, Gazyakan (bib0050) 2017; 37
Cho (10.1016/j.ejrad.2018.07.022_bib0070) 2013; 82
Xing (10.1016/j.ejrad.2018.07.022_bib0025) 2016; 85
Carey (10.1016/j.ejrad.2018.07.022_bib0035) 2010; 8
Wu (10.1016/j.ejrad.2018.07.022_bib0010) 2012; 19
Cheng (10.1016/j.ejrad.2018.07.022_bib0075) 2013; 37
Wang (10.1016/j.ejrad.2018.07.022_bib0085) 2012; 13
Mosconi (10.1016/j.ejrad.2018.07.022_bib0040) 2008; 49
Park (10.1016/j.ejrad.2018.07.022_bib0080) 2009; 29
Liu (10.1016/j.ejrad.2018.07.022_bib0090) 2011; 122
Eiber (10.1016/j.ejrad.2018.07.022_bib0100) 2011; 33
Xing (10.1016/j.ejrad.2018.07.022_bib0105) 2011; 124
Liu (10.1016/j.ejrad.2018.07.022_bib0060) 2017; 82
Zhou (10.1016/j.ejrad.2018.07.022_bib0005) 2015; 141
Sun (10.1016/j.ejrad.2018.07.022_bib0020) 2014; 15
Sui (10.1016/j.ejrad.2018.07.022_bib0065) 2016; 14
Sumi (10.1016/j.ejrad.2018.07.022_bib0110) 2003; 24
Luo (10.1016/j.ejrad.2018.07.022_bib0045) 2017; 8
Kong (10.1016/j.ejrad.2018.07.022_bib0050) 2017; 37
Kolff-Gart (10.1016/j.ejrad.2018.07.022_bib0030) 2015; 36
Chen (10.1016/j.ejrad.2018.07.022_bib0055) 2017; 6
Zhang (10.1016/j.ejrad.2018.07.022_bib0095) 2014; 36
Wu (10.1016/j.ejrad.2018.07.022_bib0015) 2013; 38
References_xml – volume: 38
  start-page: 663
  year: 2013
  end-page: 670
  ident: bib0015
  article-title: Value of diffusion-weighted MR imaging performed with quantitative apparent diffusion coefficient values for cervical lymphadenopathy
  publication-title: J. Magn. Reson. Imaging
– volume: 8
  start-page: 113
  year: 2010
  end-page: 121
  ident: bib0035
  article-title: T-Scores and Z-Scores
  publication-title: Clin. Rev. Bone Miner. Metab.
– volume: 8
  start-page: 84473
  year: 2017
  end-page: 84488
  ident: bib0045
  article-title: Comparison of DWI and (18)F-FDG PET/CT for assessing preoperative N-staging in gastric cancer: evidence from a meta-analysis
  publication-title: Oncotarget
– volume: 29
  start-page: 383
  year: 2009
  end-page: 390
  ident: bib0080
  article-title: Relative apparent diffusion coefficient: determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer
  publication-title: J. Magn. Reson. Imaging
– volume: 14
  start-page: 155
  year: 2016
  ident: bib0065
  article-title: The diagnosis of metastatic axillary lymph nodes of breast cancer by diffusion weighted imaging: a meta-analysis and systematic review
  publication-title: World J. Surg. Oncol.
– volume: 24
  start-page: 1627
  year: 2003
  end-page: 1634
  ident: bib0110
  article-title: Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer
  publication-title: Am. J. Neuroradiol.
– volume: 49
  start-page: 390
  year: 2008
  end-page: 398
  ident: bib0040
  article-title: Multicenter standardized 18F-FDG PET diagnosis of mild cognitive impairment, Alzheimer’s disease, and other dementias
  publication-title: J. Nucl. Med.
– volume: 122
  start-page: 19
  year: 2011
  end-page: 24
  ident: bib0090
  article-title: Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging
  publication-title: Gynecol. Oncol.
– volume: 141
  start-page: 1119
  year: 2015
  end-page: 1130
  ident: bib0005
  article-title: Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies
  publication-title: J. Cancer Res. Clin. Oncol.
– volume: 19
  start-page: 331
  year: 2012
  end-page: 340
  ident: bib0010
  article-title: Value of magnetic resonance imaging for nodal staging in patients with head and neck squamous cell carcinoma: a meta-analysis
  publication-title: Acad. Radiol.
– volume: 15
  start-page: 8271
  year: 2014
  end-page: 8277
  ident: bib0020
  article-title: Diagnostic significance of apparent diffusion coefficient values with diffusion weighted MRI in breast cancer: a meta- analysis
  publication-title: Asian Pac. J. Cancer Prev.
– volume: 82
  start-page: 209
  year: 2017
  end-page: 222
  ident: bib0060
  article-title: A comprehensive comparison of CT, MRI, positron emission tomography or positron emission tomography/CT, and diffusion weighted Imaging-MRI for detecting the lymph nodes metastases in patients with cervical cancer: a meta-analysis based on 67 studies
  publication-title: Gynecol. Obstet. Invest.
– volume: 37
  start-page: 469
  year: 2017
  end-page: 474
  ident: bib0050
  article-title: Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: a meta-analysis
  publication-title: J. Huazhong Univ. Sci. Technol. Med. Sci. = Hua zhong ke ji da xue xue bao Yi xue Ying De wen ban = Huazhong keji daxue xuebao Yixue Yingdewen ban
– volume: 36
  start-page: 73
  year: 2014
  end-page: 78
  ident: bib0095
  article-title: Value of diffusion-weighted imaging in diagnosis of lymph node metastasis in patients with cervical cancer
  publication-title: Zhongguo yi xue ke xue yuan xue bao Acta Academiae Medicinae Sinicae
– volume: 6
  start-page: 344
  year: 2017
  end-page: 354
  ident: bib0055
  article-title: Diffusion-weighted magnetic resonance imaging for the detection of metastatic lymph nodes in patients with lung cancer: a meta-analysis
  publication-title: Mol. Clin. Oncol.
– volume: 36
  start-page: 384
  year: 2015
  end-page: 390
  ident: bib0030
  article-title: Diffusion-weighted imaging of the head and neck in healthy subjects: reproducibility of ADC values in different MRI systems and repeat sessions
  publication-title: Am. J. Neuroradiol.
– volume: 13
  start-page: 458
  year: 2012
  end-page: 466
  ident: bib0085
  article-title: Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging
  publication-title: Korean J. Radiol.
– volume: 33
  start-page: 1160
  year: 2011
  end-page: 1170
  ident: bib0100
  article-title: Whole-body MRI including diffusion-weighted imaging (DWI) for patients with recurring prostate cancer: technical feasibility and assessment of lesion conspicuity in DWI
  publication-title: J. Magn. Reson. Imaging
– volume: 37
  start-page: 1436
  year: 2013
  end-page: 1444
  ident: bib0075
  article-title: Discrimination of metastatic lymph nodes in patients with gastric carcinoma using diffusion-weighted imaging
  publication-title: J. Magn. Reson. imaging
– volume: 85
  start-page: 1132
  year: 2016
  end-page: 1137
  ident: bib0025
  article-title: Meta analysis of lymph node metastasis of breast cancer patients: clinical value of DWI and ADC value
  publication-title: Eur. J. Radiol.
– volume: 124
  start-page: 2907
  year: 2011
  end-page: 2910
  ident: bib0105
  article-title: Relative apparent diffusion coefficient: a promising tool to differentiate metastatic from benign lymph nodes in animal models
  publication-title: Chin. Med. J.
– volume: 82
  start-page: e662
  year: 2013
  end-page: 8
  ident: bib0070
  article-title: Apparent diffusion coefficient for discriminating metastatic from non-metastatic lymph nodes in primary rectal cancer
  publication-title: Eur. J. Radiol.
– volume: 36
  start-page: 384
  issue: 2
  year: 2015
  ident: 10.1016/j.ejrad.2018.07.022_bib0030
  article-title: Diffusion-weighted imaging of the head and neck in healthy subjects: reproducibility of ADC values in different MRI systems and repeat sessions
  publication-title: Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A4114
– volume: 6
  start-page: 344
  issue: 3
  year: 2017
  ident: 10.1016/j.ejrad.2018.07.022_bib0055
  article-title: Diffusion-weighted magnetic resonance imaging for the detection of metastatic lymph nodes in patients with lung cancer: a meta-analysis
  publication-title: Mol. Clin. Oncol.
  doi: 10.3892/mco.2017.1153
– volume: 124
  start-page: 2907
  issue: 18
  year: 2011
  ident: 10.1016/j.ejrad.2018.07.022_bib0105
  article-title: Relative apparent diffusion coefficient: a promising tool to differentiate metastatic from benign lymph nodes in animal models
  publication-title: Chin. Med. J.
– volume: 24
  start-page: 1627
  issue: 8
  year: 2003
  ident: 10.1016/j.ejrad.2018.07.022_bib0110
  article-title: Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer
  publication-title: Am. J. Neuroradiol.
– volume: 8
  start-page: 113
  issue: 3
  year: 2010
  ident: 10.1016/j.ejrad.2018.07.022_bib0035
  article-title: T-Scores and Z-Scores
  publication-title: Clin. Rev. Bone Miner. Metab.
  doi: 10.1007/s12018-009-9064-4
– volume: 13
  start-page: 458
  issue: 4
  year: 2012
  ident: 10.1016/j.ejrad.2018.07.022_bib0085
  article-title: Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging
  publication-title: Korean J. Radiol.
  doi: 10.3348/kjr.2012.13.4.458
– volume: 37
  start-page: 1436
  issue: 6
  year: 2013
  ident: 10.1016/j.ejrad.2018.07.022_bib0075
  article-title: Discrimination of metastatic lymph nodes in patients with gastric carcinoma using diffusion-weighted imaging
  publication-title: J. Magn. Reson. imaging
  doi: 10.1002/jmri.23925
– volume: 49
  start-page: 390
  issue: 3
  year: 2008
  ident: 10.1016/j.ejrad.2018.07.022_bib0040
  article-title: Multicenter standardized 18F-FDG PET diagnosis of mild cognitive impairment, Alzheimer’s disease, and other dementias
  publication-title: J. Nucl. Med.
  doi: 10.2967/jnumed.107.045385
– volume: 37
  start-page: 469
  issue: 4
  year: 2017
  ident: 10.1016/j.ejrad.2018.07.022_bib0050
  article-title: Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: a meta-analysis
  publication-title: J. Huazhong Univ. Sci. Technol. Med. Sci. = Hua zhong ke ji da xue xue bao Yi xue Ying De wen ban = Huazhong keji daxue xuebao Yixue Yingdewen ban
  doi: 10.1007/s11596-017-1759-z
– volume: 19
  start-page: 331
  issue: 3
  year: 2012
  ident: 10.1016/j.ejrad.2018.07.022_bib0010
  article-title: Value of magnetic resonance imaging for nodal staging in patients with head and neck squamous cell carcinoma: a meta-analysis
  publication-title: Acad. Radiol.
  doi: 10.1016/j.acra.2011.10.027
– volume: 33
  start-page: 1160
  issue: 5
  year: 2011
  ident: 10.1016/j.ejrad.2018.07.022_bib0100
  article-title: Whole-body MRI including diffusion-weighted imaging (DWI) for patients with recurring prostate cancer: technical feasibility and assessment of lesion conspicuity in DWI
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.22542
– volume: 141
  start-page: 1119
  issue: 6
  year: 2015
  ident: 10.1016/j.ejrad.2018.07.022_bib0005
  article-title: Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies
  publication-title: J. Cancer Res. Clin. Oncol.
  doi: 10.1007/s00432-014-1895-9
– volume: 29
  start-page: 383
  issue: 2
  year: 2009
  ident: 10.1016/j.ejrad.2018.07.022_bib0080
  article-title: Relative apparent diffusion coefficient: determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.21635
– volume: 85
  start-page: 1132
  issue: 6
  year: 2016
  ident: 10.1016/j.ejrad.2018.07.022_bib0025
  article-title: Meta analysis of lymph node metastasis of breast cancer patients: clinical value of DWI and ADC value
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2016.03.019
– volume: 122
  start-page: 19
  issue: 1
  year: 2011
  ident: 10.1016/j.ejrad.2018.07.022_bib0090
  article-title: Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging
  publication-title: Gynecol. Oncol.
  doi: 10.1016/j.ygyno.2011.03.023
– volume: 36
  start-page: 73
  issue: 1
  year: 2014
  ident: 10.1016/j.ejrad.2018.07.022_bib0095
  article-title: Value of diffusion-weighted imaging in diagnosis of lymph node metastasis in patients with cervical cancer
  publication-title: Zhongguo yi xue ke xue yuan xue bao Acta Academiae Medicinae Sinicae
– volume: 82
  start-page: e662
  issue: 11
  year: 2013
  ident: 10.1016/j.ejrad.2018.07.022_bib0070
  article-title: Apparent diffusion coefficient for discriminating metastatic from non-metastatic lymph nodes in primary rectal cancer
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2013.08.007
– volume: 14
  start-page: 155
  issue: 1
  year: 2016
  ident: 10.1016/j.ejrad.2018.07.022_bib0065
  article-title: The diagnosis of metastatic axillary lymph nodes of breast cancer by diffusion weighted imaging: a meta-analysis and systematic review
  publication-title: World J. Surg. Oncol.
  doi: 10.1186/s12957-016-0906-5
– volume: 38
  start-page: 663
  issue: 3
  year: 2013
  ident: 10.1016/j.ejrad.2018.07.022_bib0015
  article-title: Value of diffusion-weighted MR imaging performed with quantitative apparent diffusion coefficient values for cervical lymphadenopathy
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.24014
– volume: 8
  start-page: 84473
  issue: 48
  year: 2017
  ident: 10.1016/j.ejrad.2018.07.022_bib0045
  article-title: Comparison of DWI and (18)F-FDG PET/CT for assessing preoperative N-staging in gastric cancer: evidence from a meta-analysis
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.21055
– volume: 15
  start-page: 8271
  issue: 19
  year: 2014
  ident: 10.1016/j.ejrad.2018.07.022_bib0020
  article-title: Diagnostic significance of apparent diffusion coefficient values with diffusion weighted MRI in breast cancer: a meta- analysis
  publication-title: Asian Pac. J. Cancer Prev.
  doi: 10.7314/APJCP.2014.15.19.8271
– volume: 82
  start-page: 209
  issue: 3
  year: 2017
  ident: 10.1016/j.ejrad.2018.07.022_bib0060
  article-title: A comprehensive comparison of CT, MRI, positron emission tomography or positron emission tomography/CT, and diffusion weighted Imaging-MRI for detecting the lymph nodes metastases in patients with cervical cancer: a meta-analysis based on 67 studies
  publication-title: Gynecol. Obstet. Invest.
  doi: 10.1159/000456006
SSID ssj0005492
Score 2.239024
Snippet To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method....
To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 122
SubjectTerms Adult
Aged
Aged, 80 and over
Apparent diffusion coefficient
Diagnosis, Differential
Diffusion magnetic resonance imaging
Diffusion Magnetic Resonance Imaging - methods
Female
Humans
Lymph nodes
Lymph Nodes - diagnostic imaging
Lymph Nodes - pathology
Lymphatic Metastasis - pathology
Male
Middle Aged
ROC Curve
Sensitivity and Specificity
Z-Score
Title Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0720048X18302626
https://dx.doi.org/10.1016/j.ejrad.2018.07.022
https://www.ncbi.nlm.nih.gov/pubmed/30150033
https://www.proquest.com/docview/2095538296
Volume 106
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB61WwlxQbxZWiojcSRsYjsPc1ttqRZQeymVVlwsP6utSlJ1s6p66W_vOHEWOLRIHGN5nGRmPDOJP38G-IAZleuw7SNnlibcFkWitUpx4jkjmFFV1dEXHx0X81P-bZEvtmA27IUJsMoY-_uY3kXr2DKJ2pxcLpeTk7QMFq4WWaCwwrp8G3YoE0U-gp3p1-_z499ID96djRz6J0FgIB_qYF7u_EoFxtCs6kg8Kb0vQd1XgHaJ6PApPIkVJJn2D_kMtlz9HB4dxTXyF7D8mZwEbkrS_lGTNjVpPJkezEhg93arz2RKrtUNaRuy7qEZOKRZt9jLk4jdIr-wRj8LQBmiaoutNV6Rixu0P6kb61Yv4fTwy4_ZPIkHKiSGZ1mbKKZVJYzLDc29VYpl3qE5CsaNL6hnShnLuRc21YopKlImtHVOeGpyzkvLXsGobmr3BojxnmlfGWUVx29CVuVaKYrDVLkty9SOgQ5alCayjYdDLy7kACs7l53qZVC9TEuJqh_Dx43QZU-28XB3PphHDvtIMfJJTAYPixUbsb9c7d-C7wcfkDgJw8qKql2zXmEnkWPmoKIYw-veOTYvwMI_pZSxt_972114HK56YNsejNqrtXuHlVCr92H70222H_39DrxDCIo
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwELYoldpeKuiDbgvUSBybbuJHHtxWC2jbslwAadWLNX6hRZAgNquKS397x3ms6AEq9RhnJo_xeGYSf_5MyD5mVKHDsg_JLYuETdNIa4hx4DlTcAN53tAXT0_TyYX4PpOzNTLu18IEWGUX-9uY3kTrrmXYWXN4O58Pz-Is9HA-SwKFFdblz8hzIXkWcH1ffz_AeYhmZ-QgHQXxnnqoAXm5qzsIfKFJ3lB4MvZYenqs_GzS0PEGed3Vj3TUPuImWXPlG_Ji2s2QvyXzn9FZYKak9YOKtCpp5enocEwDt7dbHNAR_QX3tK7osgVm4CXNskYpTzvkFr3BCv0ywGQolBZbSzyi1_fY-7SsrFu8IxfHR-fjSdRtpxAZkSR1BFxDXhgnDZPeAvDEO-yMlAvjU-Y5gLFC-MLGGjiwIuaFts4VnhkpRGb5e7JeVqX7QKjxnmufG7Ag8IuQ51IDMLxMLm2WxXZAWG9FZTqu8bDlxbXqQWVXqjG9CqZXcabQ9APyZaV021JtPC0u-u5R_SpSjHsKU8HTaulK7S9H-7fiXu8DCodgmFeB0lXLBQoVEvMGK9IB2WqdY_UCPPxRijn_-L-3_UxeTs6nJ-rk2-mPT-RVONNC3LbJen23dDtYE9V6t_H5P_zQCVU
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=Z-Score+transformation+of+ADC+values%3A+A+way+to+universal+cut+off+between+malignant+and+benign+lymph+nodes&rft.jtitle=European+journal+of+radiology&rft.au=Long+%E9%BE%99%E6%B7%BC%E6%B7%BC%2C+Miaomiao&rft.au=Wang+%E7%8E%8B%E8%95%BE%2C+Lei&rft.au=Mou+%E7%89%9F%E7%8E%B2%2C+Ling&rft.au=Zhang+%E5%BC%A0%E5%8F%AF%2C+Ke&rft.date=2018-09-01&rft.issn=1872-7727&rft.eissn=1872-7727&rft.volume=106&rft.spage=122&rft_id=info:doi/10.1016%2Fj.ejrad.2018.07.022&rft.externalDBID=NO_FULL_TEXT
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