Magnetic Resonance Elastography Combined With PI‐RADS v2.1 for the Identification of Clinically Significant Prostate Cancer

Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RA...

Full description

Saved in:
Bibliographic Details
Published inJournal of magnetic resonance imaging Vol. 61; no. 5; pp. 2248 - 2257
Main Authors Chen, Jie, Chen, Yuntian, Chen, Guoyong, Deng, Liping, Yuan, Yuan, Tang, Hehan, Zhang, Zhen, Chen, Tingyu, Zeng, Hao, Yuan, Enyu, Yin, Meng, Chen, Jun, Song, Bin, Yao, Jin
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.05.2025
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RADS v2.1 for diagnosing csPCa. Study Type Prospective. Subjects One hundred forty‐seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa. Field Strength/Sequence T1‐weighted fast spin‐echo, T2‐weighted fast spin‐echo, single‐shot echo‐planar diffusion‐weighted imaging, fast 3D gradient‐echo T1‐weighted dynamic contrast‐enhanced imaging, and 3D single‐shot spin‐echo based echo‐planar MR elastography at 3.0 T. Assessment The PI‐RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI‐RADS integrating stiffness with PI‐RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI‐RADS v2.1 and the modified PI‐RADS. Statistical Test Spearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one‐way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05. Results In the peripheral zone, csPCa (N = 35) had significantly higher SS than non‐csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI‐RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI‐RADS, combing SS at 60 Hz with PI‐RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI‐RADS v2.1, with a sensitivity of 97% and specificity of 75%. Data Conclusion Stiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI‐RADS v2.1 improved the diagnostic accuracy and specificity for csPCa. Evidence Level 1 Technical Efficacy Stage 2
AbstractList Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RADS v2.1 for diagnosing csPCa. Study Type Prospective. Subjects One hundred forty‐seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa. Field Strength/Sequence T1‐weighted fast spin‐echo, T2‐weighted fast spin‐echo, single‐shot echo‐planar diffusion‐weighted imaging, fast 3D gradient‐echo T1‐weighted dynamic contrast‐enhanced imaging, and 3D single‐shot spin‐echo based echo‐planar MR elastography at 3.0 T. Assessment The PI‐RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI‐RADS integrating stiffness with PI‐RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI‐RADS v2.1 and the modified PI‐RADS. Statistical Test Spearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one‐way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05. Results In the peripheral zone, csPCa (N = 35) had significantly higher SS than non‐csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI‐RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI‐RADS, combing SS at 60 Hz with PI‐RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI‐RADS v2.1, with a sensitivity of 97% and specificity of 75%. Data Conclusion Stiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI‐RADS v2.1 improved the diagnostic accuracy and specificity for csPCa. Evidence Level 1 Technical Efficacy Stage 2
This study aimed to improve the detection of clinically significant prostate cancer by combining tissue stiffness measurements with the existing Prostate Imaging Reporting System (PI-RADS). Researchers evaluated 147 patients using magnetic resonance elastography to measure tissue stiffness alongside standard imaging methods. In the peripheral zone of the prostate, cancerous tissues were stiffer than non-cancerous tissues. By adding stiffness measurements to PI-RADS, the accuracy and specificity of cancer diagnoses were improved compared to using PI-RADS alone. These findings suggest that integrating stiffness measurements with PI-RADS can enhance prostate cancer detection, offering a more effective diagnostic approach in clinical settings.
BackgroundMultiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1).ObjectivesTo investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RADS v2.1 for diagnosing csPCa.Study TypeProspective.SubjectsOne hundred forty‐seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa.Field Strength/SequenceT1‐weighted fast spin‐echo, T2‐weighted fast spin‐echo, single‐shot echo‐planar diffusion‐weighted imaging, fast 3D gradient‐echo T1‐weighted dynamic contrast‐enhanced imaging, and 3D single‐shot spin‐echo based echo‐planar MR elastography at 3.0 T.AssessmentThe PI‐RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI‐RADS integrating stiffness with PI‐RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI‐RADS v2.1 and the modified PI‐RADS.Statistical TestSpearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one‐way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05.ResultsIn the peripheral zone, csPCa (N = 35) had significantly higher SS than non‐csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI‐RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI‐RADS, combing SS at 60 Hz with PI‐RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI‐RADS v2.1, with a sensitivity of 97% and specificity of 75%.Data ConclusionStiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI‐RADS v2.1 improved the diagnostic accuracy and specificity for csPCa.Evidence Level1Technical EfficacyStage 2
Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1).BACKGROUNDMultiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1).To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI-RADS v2.1 for diagnosing csPCa.OBJECTIVESTo investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI-RADS v2.1 for diagnosing csPCa.Prospective.STUDY TYPEProspective.One hundred forty-seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa.SUBJECTSOne hundred forty-seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa.T1-weighted fast spin-echo, T2-weighted fast spin-echo, single-shot echo-planar diffusion-weighted imaging, fast 3D gradient-echo T1-weighted dynamic contrast-enhanced imaging, and 3D single-shot spin-echo based echo-planar MR elastography at 3.0 T.FIELD STRENGTH/SEQUENCET1-weighted fast spin-echo, T2-weighted fast spin-echo, single-shot echo-planar diffusion-weighted imaging, fast 3D gradient-echo T1-weighted dynamic contrast-enhanced imaging, and 3D single-shot spin-echo based echo-planar MR elastography at 3.0 T.The PI-RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI-RADS integrating stiffness with PI-RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI-RADS v2.1 and the modified PI-RADS.ASSESSMENTThe PI-RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI-RADS integrating stiffness with PI-RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI-RADS v2.1 and the modified PI-RADS.Spearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one-way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05.STATISTICAL TESTSpearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one-way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05.In the peripheral zone, csPCa (N = 35) had significantly higher SS than non-csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI-RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI-RADS, combing SS at 60 Hz with PI-RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI-RADS v2.1, with a sensitivity of 97% and specificity of 75%.RESULTSIn the peripheral zone, csPCa (N = 35) had significantly higher SS than non-csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI-RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI-RADS, combing SS at 60 Hz with PI-RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI-RADS v2.1, with a sensitivity of 97% and specificity of 75%.Stiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI-RADS v2.1 improved the diagnostic accuracy and specificity for csPCa.DATA CONCLUSIONStiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI-RADS v2.1 improved the diagnostic accuracy and specificity for csPCa.1 TECHNICAL EFFICACY: Stage 2.EVIDENCE LEVEL1 TECHNICAL EFFICACY: Stage 2.
Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1). To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI-RADS v2.1 for diagnosing csPCa. Prospective. One hundred forty-seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa. T1-weighted fast spin-echo, T2-weighted fast spin-echo, single-shot echo-planar diffusion-weighted imaging, fast 3D gradient-echo T1-weighted dynamic contrast-enhanced imaging, and 3D single-shot spin-echo based echo-planar MR elastography at 3.0 T. The PI-RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI-RADS integrating stiffness with PI-RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI-RADS v2.1 and the modified PI-RADS. Spearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one-way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05. In the peripheral zone, csPCa (N = 35) had significantly higher SS than non-csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI-RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI-RADS, combing SS at 60 Hz with PI-RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI-RADS v2.1, with a sensitivity of 97% and specificity of 75%. Stiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI-RADS v2.1 improved the diagnostic accuracy and specificity for csPCa. 1 TECHNICAL EFFICACY: Stage 2.
Author Song, Bin
Yuan, Enyu
Zhang, Zhen
Chen, Jun
Tang, Hehan
Zeng, Hao
Chen, Jie
Chen, Yuntian
Chen, Guoyong
Yin, Meng
Deng, Liping
Yuan, Yuan
Chen, Tingyu
Yao, Jin
AuthorAffiliation 2 Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China
1 Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
5 Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210000, China
4 Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA
3 Department of Urology, West China Hospital of Sichuan University, Chengdu, 610041, China
AuthorAffiliation_xml – name: 5 Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210000, China
– name: 4 Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA
– name: 1 Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
– name: 3 Department of Urology, West China Hospital of Sichuan University, Chengdu, 610041, China
– name: 2 Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China
Author_xml – sequence: 1
  givenname: Jie
  surname: Chen
  fullname: Chen, Jie
  organization: Sichuan University
– sequence: 2
  givenname: Yuntian
  surname: Chen
  fullname: Chen, Yuntian
  organization: Sichuan University
– sequence: 3
  givenname: Guoyong
  surname: Chen
  fullname: Chen, Guoyong
  organization: Sichuan University
– sequence: 4
  givenname: Liping
  surname: Deng
  fullname: Deng, Liping
  organization: Sichuan University
– sequence: 5
  givenname: Yuan
  surname: Yuan
  fullname: Yuan, Yuan
  organization: Sichuan University
– sequence: 6
  givenname: Hehan
  surname: Tang
  fullname: Tang, Hehan
  organization: Sichuan University
– sequence: 7
  givenname: Zhen
  surname: Zhang
  fullname: Zhang, Zhen
  organization: Sichuan University
– sequence: 8
  givenname: Tingyu
  surname: Chen
  fullname: Chen, Tingyu
  organization: Sichuan University
– sequence: 9
  givenname: Hao
  surname: Zeng
  fullname: Zeng, Hao
  organization: West China Hospital of Sichuan University
– sequence: 10
  givenname: Enyu
  surname: Yuan
  fullname: Yuan, Enyu
  organization: Sichuan University
– sequence: 11
  givenname: Meng
  surname: Yin
  fullname: Yin, Meng
  organization: Mayo Clinic
– sequence: 12
  givenname: Jun
  surname: Chen
  fullname: Chen, Jun
  organization: The Affiliated Drum Tower Hospital of Nanjing University Medical School
– sequence: 13
  givenname: Bin
  orcidid: 0000-0002-7269-2101
  surname: Song
  fullname: Song, Bin
  email: songlab_radiology@163.com
  organization: Sichuan University
– sequence: 14
  givenname: Jin
  orcidid: 0009-0003-5414-6427
  surname: Yao
  fullname: Yao, Jin
  email: yaojin@wchscu.edu.cn
  organization: Sichuan University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/39513399$$D View this record in MEDLINE/PubMed
BookMark eNp9kc1uEzEUhUeoiP7AhgdAltggpEn9O2OvUDUUCGpFlYJYWq5zJ3E0Y6cepygLJB6BZ-RJcJK2ggqxsq373eNz7zks9nzwUBTPCR4RjOnxoo9uRFUl2KPigAhKSypktZfvWLCSSFzvF4fDsMAYK8XFk2KfKUEYU-qg-H5uZh6Ss2gCQ_DGW0CnnRlSmEWznK9RE_or52GKvro0RxfjXz9-Tk7eXqIbOiKoDRGlOaDxFHxyrbMmueBRaFHTOZ-fXbdGl27mtzWf0EUMQzIJULP5KT4tHremG-DZ7XlUfHl3-rn5UJ59ej9uTs5Ky7liJVSWKzs1vLYgagVE8BZXglhWM2Go4lSChQoUx5gbJVuigBpRV0wy3uZJj4o3O93l6qqHqc1uo-n0MrrexLUOxum_K97N9SzcaEKUIlKKrPDqViGG6xUMSfdusNB1xkNYDZoRKhmljJGMvnyALsIq-jxfpqSshZKcZ-rFn5buvdxFkwG8A2ze2RCh1dal7X6zQ9dpgvUmfb1JX2_Tzy2vH7Tcqf4TJjv4m-tg_R9SfzyfjHc9vwE0UcDl
CitedBy_id crossref_primary_10_1002_jmri_29659
Cites_doi 10.1148/radiol.223128
10.1148/radiol.212692
10.3390/cancers14112575
10.1007/s00261-021-02982-4
10.2307/2529310
10.1002/jmri.26250
10.1038/s41585-019-0212-4
10.1016/j.jcm.2016.02.012
10.1007/s00261-015-0372-5
10.1111/bju.16280
10.3322/caac.21492
10.1016/j.eururo.2019.02.033
10.1152/ajpgi.00254.2021
10.1148/radiol.2021201852
10.1097/JU.0000000000002491
10.1001/jama.2017.7248
10.1148/radiol.12111683
10.21037/tau-23-94
10.1016/j.mri.2022.01.005
10.1016/j.ejrad.2023.111066
10.1007/s00261-021-03302-6
10.1007/s00261-022-03597-z
10.1097/PAS.0000000000001497
10.1002/nbm.3218
ContentType Journal Article
Copyright 2024 International Society for Magnetic Resonance in Medicine.
2025 International Society for Magnetic Resonance in Medicine
Copyright_xml – notice: 2024 International Society for Magnetic Resonance in Medicine.
– notice: 2025 International Society for Magnetic Resonance in Medicine
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7TK
8FD
FR3
K9.
P64
7X8
5PM
DOI 10.1002/jmri.29653
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Biotechnology Research Abstracts
Neurosciences Abstracts
Technology Research Database
Engineering Research Database
ProQuest Health & Medical Complete (Alumni)
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest Health & Medical Complete (Alumni)
Engineering Research Database
Biotechnology Research Abstracts
Technology Research Database
Neurosciences Abstracts
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitleList

ProQuest Health & Medical Complete (Alumni)
MEDLINE - Academic
MEDLINE
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 1522-2586
EndPage 2257
ExternalDocumentID PMC11991885
39513399
10_1002_jmri_29653
JMRI29653
Genre researchArticle
Journal Article
GrantInformation_xml – fundername: The Post‐Doctoral Station Development project of Sanya
  funderid: 23CZ009
– fundername: The Post‐Doctor Research Project, West China Hospital of Sichuan University
  funderid: 2021HXBH042
– fundername: The National Nature Science Foundation of China
  funderid: 82302155
– fundername: The 1.3.5 project for disciplines of excellence at West China Hospital, Sichuan University
  funderid: ZYGD22004
– fundername: The US National Institutes of Health (NIH)
  funderid: R01 EB017197; R37 EB001981
– fundername: The Science and Technology Support Program of Sichuan Province
  funderid: 2023YFS0010
– fundername: The Department of Defense (DoD) award
  funderid: W81XWH‐19‐1‐0583
– fundername: The Post-Doctoral Station Development project of Sanya
  grantid: 23CZ009
– fundername: The National Nature Science Foundation of China
  grantid: 82302155
– fundername: The Post-Doctor Research Project, West China Hospital of Sichuan University
  grantid: 2021HXBH042
– fundername: NIBIB NIH HHS
  grantid: R01 EB017197
– fundername: The Department of Defense (DoD) award
  grantid: W81XWH-19-1-0583
– fundername: NIBIB NIH HHS
  grantid: R37 EB001981
– fundername: The Science and Technology Support Program of Sichuan Province
  grantid: 2023YFS0010
– fundername: The 1.3.5 project for disciplines of excellence at West China Hospital, Sichuan University
  grantid: ZYGD22004
GroupedDBID ---
-DZ
.3N
.GA
.GJ
.Y3
05W
0R~
10A
1L6
1OB
1OC
1ZS
31~
33P
3O-
3SF
3WU
4.4
4ZD
50Y
50Z
51W
51X
52M
52N
52O
52P
52R
52S
52T
52U
52V
52W
52X
53G
5GY
5RE
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A01
A03
AAESR
AAEVG
AAHHS
AAHQN
AAIPD
AAMNL
AANHP
AANLZ
AAONW
AASGY
AAWTL
AAXRX
AAYCA
AAZKR
ABCQN
ABCUV
ABEML
ABIJN
ABJNI
ABLJU
ABOCM
ABPVW
ABQWH
ABXGK
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFO
ACGFS
ACGOF
ACIWK
ACMXC
ACPOU
ACPRK
ACRPL
ACSCC
ACXBN
ACXQS
ACYXJ
ADBBV
ADBTR
ADEOM
ADIZJ
ADKYN
ADMGS
ADNMO
ADOZA
ADXAS
ADZMN
AEEZP
AEGXH
AEIGN
AEIMD
AENEX
AEQDE
AEUYR
AFBPY
AFFPM
AFGKR
AFRAH
AFWVQ
AFZJQ
AGHNM
AGQPQ
AGYGG
AHBTC
AHMBA
AIACR
AIAGR
AITYG
AIURR
AIWBW
AJBDE
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMBMR
AMYDB
ASPBG
ATUGU
AVWKF
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMXJE
BROTX
BRXPI
BY8
C45
CS3
D-6
D-7
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRMAN
DRSTM
DU5
EBD
EBS
EJD
EMOBN
F00
F01
F04
F5P
FEDTE
FUBAC
G-S
G.N
GNP
GODZA
H.X
HBH
HDBZQ
HF~
HGLYW
HHY
HHZ
HVGLF
HZ~
IX1
J0M
JPC
KBYEO
KQQ
LATKE
LAW
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
M65
MEWTI
MK4
MRFUL
MRMAN
MRSTM
MSFUL
MSMAN
MSSTM
MXFUL
MXMAN
MXSTM
N04
N05
N9A
NF~
NNB
O66
O9-
OIG
OVD
P2P
P2W
P2X
P2Z
P4B
P4D
PALCI
PQQKQ
Q.N
Q11
QB0
QRW
R.K
RIWAO
RJQFR
ROL
RX1
RYL
SAMSI
SUPJJ
SV3
TEORI
TWZ
UB1
V2E
V8K
V9Y
W8V
W99
WBKPD
WHWMO
WIB
WIH
WIJ
WIK
WIN
WJL
WOHZO
WQJ
WVDHM
WXI
WXSBR
XG1
XV2
ZXP
ZZTAW
~IA
~WT
AAYXX
AEYWJ
CITATION
AAMMB
AEFGJ
AGXDD
AIDQK
AIDYY
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7TK
8FD
FR3
K9.
P64
7X8
5PM
ID FETCH-LOGICAL-c4493-e6c49cda47ce579e154f0651c3735a29428ece6e94004a98f19e2a5763834f133
IEDL.DBID DR2
ISSN 1053-1807
1522-2586
IngestDate Thu Aug 21 18:26:35 EDT 2025
Fri Jul 11 02:46:05 EDT 2025
Sun Jul 27 07:11:32 EDT 2025
Mon Jul 21 05:57:18 EDT 2025
Tue Jul 01 05:06:54 EDT 2025
Thu Apr 24 23:10:56 EDT 2025
Sat Apr 12 09:10:27 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 5
Keywords clinically significant prostate cancer
elastography
Prostate Imaging Reporting and Data System
Language English
License 2024 International Society for Magnetic Resonance in Medicine.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c4493-e6c49cda47ce579e154f0651c3735a29428ece6e94004a98f19e2a5763834f133
Notes Jie Chen and Yuntian Chen contributed equally to this work.
Bin Song and Jin Yao are senior authors of this work.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
These authors contributed equally to this work.
These authors are senior authors of this work.
ORCID 0009-0003-5414-6427
0000-0002-7269-2101
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/11991885
PMID 39513399
PQID 3188759844
PQPubID 1006400
PageCount 10
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_11991885
proquest_miscellaneous_3128322331
proquest_journals_3188759844
pubmed_primary_39513399
crossref_citationtrail_10_1002_jmri_29653
crossref_primary_10_1002_jmri_29653
wiley_primary_10_1002_jmri_29653_JMRI29653
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate May 2025
PublicationDateYYYYMMDD 2025-05-01
PublicationDate_xml – month: 05
  year: 2025
  text: May 2025
PublicationDecade 2020
PublicationPlace Hoboken, USA
PublicationPlace_xml – name: Hoboken, USA
– name: United States
– name: Nashville
PublicationSubtitle JMRI
PublicationTitle Journal of magnetic resonance imaging
PublicationTitleAlternate J Magn Reson Imaging
PublicationYear 2025
Publisher John Wiley & Sons, Inc
Wiley Subscription Services, Inc
Publisher_xml – name: John Wiley & Sons, Inc
– name: Wiley Subscription Services, Inc
References 2017; 317
2021; 46
2023; 12
2019; 76
2023; 167
2020; 17
2022; 47
2013; 267
2023; 307
2024; 56
2022; 87
2023; 306
2016; 15
2018; 68
2017; 31
2015; 28
2021; 299
2015; 40
2019; 49
2022; 14
2024; 133
1977; 33
2020; 44
2022; 208
2022; 322
e_1_2_7_6_1
e_1_2_7_5_1
e_1_2_7_4_1
e_1_2_7_3_1
e_1_2_7_9_1
e_1_2_7_8_1
e_1_2_7_7_1
e_1_2_7_19_1
e_1_2_7_17_1
e_1_2_7_16_1
Pepe P (e_1_2_7_24_1) 2017; 31
e_1_2_7_2_1
e_1_2_7_15_1
e_1_2_7_14_1
e_1_2_7_13_1
e_1_2_7_12_1
e_1_2_7_11_1
e_1_2_7_10_1
e_1_2_7_26_1
e_1_2_7_27_1
Samaratunga H (e_1_2_7_18_1) 2024; 56
e_1_2_7_25_1
e_1_2_7_23_1
e_1_2_7_22_1
e_1_2_7_21_1
e_1_2_7_20_1
References_xml – volume: 322
  start-page: G234
  year: 2022
  end-page: G246
  article-title: Stiffness is associated with hepatic stellate cell heterogeneity during liver fibrosis
  publication-title: Am J Physiol Gastrointest Liver Physiol
– volume: 31
  start-page: 415
  year: 2017
  end-page: 418
  article-title: Multiparametric MRI apparent diffusion coefficient (ADC) accuracy in diagnosing clinically significant prostate cancer
  publication-title: Vivo Athens Greece
– volume: 167
  year: 2023
  article-title: Quantitative diffusion MRI in prostate cancer: Image quality, what we can measure and how it improves clinical assessment
  publication-title: Eur J Radiol
– volume: 267
  start-page: 164
  year: 2013
  end-page: 172
  article-title: Differentiation of prostatitis and prostate cancer by using diffusion‐weighted MR imaging and MR‐guided biopsy at 3 T
  publication-title: Radiology
– volume: 306
  start-page: 186
  year: 2023
  end-page: 199
  article-title: Contribution of dynamic contrast‐enhanced and diffusion MRI to PI‐RADS for detecting clinically significant prostate cancer
  publication-title: Radiology
– volume: 68
  start-page: 394
  year: 2018
  end-page: 424
  article-title: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
  publication-title: CA Cancer J Clin
– volume: 56
  start-page: 33
  year: 2024
  end-page: 38
  article-title: Gleason score 3+3=6 prostatic adenocarcinoma is not benign and the current debate is unhelpful to clinicians and patients
  publication-title: Pathology (Phila)
– volume: 133
  start-page: 360
  year: 2024
  end-page: 364
  article-title: What is cancer? A focus on Grade Group 1 prostate cancer
  publication-title: BJU Int
– volume: 47
  start-page: 3028
  year: 2022
  end-page: 3036
  article-title: Magnetic resonance elastography: From invention to standard of care
  publication-title: Abdom Radiol N Y
– volume: 87
  start-page: 113
  year: 2022
  end-page: 118
  article-title: Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens
  publication-title: Magn Reson Imaging
– volume: 49
  start-page: 719
  year: 2019
  end-page: 730
  article-title: 3D MR elastography of hepatocellular carcinomas as a potential biomarker for predicting tumor recurrence: HCC evaluation with MR elastography
  publication-title: J Magn Reson Imaging
– volume: 317
  start-page: 2532
  year: 2017
  end-page: 2542
  article-title: The diagnosis and treatment of prostate cancer: A review
  publication-title: Jama
– volume: 17
  start-page: 41
  year: 2020
  end-page: 61
  article-title: Multiparametric MRI for prostate cancer diagnosis: Current status and future directions
  publication-title: Nat Rev Urol
– volume: 47
  start-page: 399
  year: 2022
  end-page: 408
  article-title: Magnetic resonance elastography of the prostate in patients with lower urinary tract symptoms: Feasibility of the modified driver at high multi‐frequencies
  publication-title: Abdom Radiol
– volume: 33
  start-page: 159
  year: 1977
  end-page: 174
  article-title: The measurement of observer agreement for categorical data
  publication-title: Biometrics
– volume: 299
  start-page: 362
  year: 2021
  end-page: 370
  article-title: Tomoelastography based on multifrequency MR elastography for prostate cancer detection: Comparison with multiparametric MRI
  publication-title: Radiology
– volume: 14
  start-page: 2575
  year: 2022
  article-title: Added value of viscoelasticity for MRI‐based prediction of Ki‐67 expression of hepatocellular carcinoma using a deep learning combined radiomics (DLCR) model
  publication-title: Cancer
– volume: 208
  start-page: 100
  year: 2022
  end-page: 108
  article-title: A nationwide analysis of risk of prostate cancer diagnosis and mortality following an initial negative transrectal ultrasound biopsy with long‐term Followup
  publication-title: J Urol
– volume: 76
  start-page: 340
  year: 2019
  end-page: 351
  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: 46
  start-page: 3387
  year: 2021
  end-page: 3400
  article-title: Evaluation of MR elastography for prediction of lymph node metastasis in prostate cancer
  publication-title: Abdom Radiol
– volume: 44
  start-page: e87
  year: 2020
  end-page: e99
  article-title: The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma
  publication-title: Am J Surg Pathol
– volume: 12
  start-page: 466
  year: 2023
  end-page: 476
  article-title: A diagnostic test of three‐dimensional magnetic resonance elastography imaging for preoperative prediction of microvascular invasion in patients with T1 stage clear cell renal carcinoma
  publication-title: Transl Androl Urol
– volume: 15
  start-page: 155
  year: 2016
  end-page: 163
  article-title: A guideline of selecting and reporting intraclass correlation coefficients for reliability research
  publication-title: J Chiropr Med
– volume: 307
  year: 2023
  article-title: PI‐RADS: Where next?
  publication-title: Radiology
– volume: 28
  start-page: 124
  year: 2015
  end-page: 139
  article-title: MR elastography of prostate cancer: Quantitative comparison with histopathology and repeatability of methods
  publication-title: NMR Biomed
– volume: 40
  start-page: 810
  year: 2015
  end-page: 817
  article-title: Magnetic resonance elastography: Evaluation of new inversion algorithm and quantitative analysis method
  publication-title: Abdom Imaging
– ident: e_1_2_7_5_1
  doi: 10.1148/radiol.223128
– ident: e_1_2_7_25_1
  doi: 10.1148/radiol.212692
– volume: 31
  start-page: 415
  year: 2017
  ident: e_1_2_7_24_1
  article-title: Multiparametric MRI apparent diffusion coefficient (ADC) accuracy in diagnosing clinically significant prostate cancer
  publication-title: Vivo Athens Greece
– ident: e_1_2_7_10_1
  doi: 10.3390/cancers14112575
– ident: e_1_2_7_14_1
  doi: 10.1007/s00261-021-02982-4
– ident: e_1_2_7_20_1
  doi: 10.2307/2529310
– ident: e_1_2_7_11_1
  doi: 10.1002/jmri.26250
– ident: e_1_2_7_6_1
  doi: 10.1038/s41585-019-0212-4
– ident: e_1_2_7_21_1
  doi: 10.1016/j.jcm.2016.02.012
– ident: e_1_2_7_16_1
  doi: 10.1007/s00261-015-0372-5
– ident: e_1_2_7_19_1
  doi: 10.1111/bju.16280
– volume: 56
  start-page: 33
  year: 2024
  ident: e_1_2_7_18_1
  article-title: Gleason score 3+3=6 prostatic adenocarcinoma is not benign and the current debate is unhelpful to clinicians and patients
  publication-title: Pathology (Phila)
– ident: e_1_2_7_2_1
  doi: 10.3322/caac.21492
– ident: e_1_2_7_4_1
  doi: 10.1016/j.eururo.2019.02.033
– ident: e_1_2_7_8_1
  doi: 10.1152/ajpgi.00254.2021
– ident: e_1_2_7_15_1
  doi: 10.1148/radiol.2021201852
– ident: e_1_2_7_7_1
  doi: 10.1097/JU.0000000000002491
– ident: e_1_2_7_3_1
  doi: 10.1001/jama.2017.7248
– ident: e_1_2_7_27_1
  doi: 10.1148/radiol.12111683
– ident: e_1_2_7_12_1
  doi: 10.21037/tau-23-94
– ident: e_1_2_7_23_1
  doi: 10.1016/j.mri.2022.01.005
– ident: e_1_2_7_26_1
  doi: 10.1016/j.ejrad.2023.111066
– ident: e_1_2_7_13_1
  doi: 10.1007/s00261-021-03302-6
– ident: e_1_2_7_9_1
  doi: 10.1007/s00261-022-03597-z
– ident: e_1_2_7_17_1
  doi: 10.1097/PAS.0000000000001497
– ident: e_1_2_7_22_1
  doi: 10.1002/nbm.3218
SSID ssj0009945
Score 2.4654193
Snippet Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System...
Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1...
BackgroundMultiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System...
This study aimed to improve the detection of clinically significant prostate cancer by combining tissue stiffness measurements with the existing Prostate...
SourceID pubmedcentral
proquest
pubmed
crossref
wiley
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2248
SubjectTerms Aged
Aged, 80 and over
Clinical significance
clinically significant prostate cancer
Correlation
Data systems
Diffusion rate
Elasticity Imaging Techniques - methods
elastography
Field strength
Humans
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional
Lesions
Magnetic resonance
Magnetic Resonance Imaging - methods
Male
Medical imaging
Middle Aged
Prospective Studies
Prostate - diagnostic imaging
Prostate cancer
Prostate Imaging Reporting and Data System
Prostatic Neoplasms - diagnostic imaging
Reproducibility of Results
ROC Curve
Sensitivity
Sensitivity and Specificity
Shear stiffness
Statistical tests
Variance analysis
Title Magnetic Resonance Elastography Combined With PI‐RADS v2.1 for the Identification of Clinically Significant Prostate Cancer
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.29653
https://www.ncbi.nlm.nih.gov/pubmed/39513399
https://www.proquest.com/docview/3188759844
https://www.proquest.com/docview/3128322331
https://pubmed.ncbi.nlm.nih.gov/PMC11991885
Volume 61
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NTtwwEB4hDlUvpT8U0lLkqr1QKcvGdn4s9YIoCJC2QguoXKoocWxYus1WS7ZSK1XiEXhGnqQzTjbbLVUluEXyOHacGfsbe_wNwNuMSytza4n5ER0UHhV-LkXhG50L3VVcc5eSpfcx2juRB6fh6QK8n96Fqfkh2g03sgw3X5OBZ_nl5ow09OLreNDhKgqJ6pOCtQgR9WfcUUq5DMWIH4QfJN245Sblm7Oq86vRLYh5O1LyTwTrlqDdJfg87XwdefKlM6nyjv75F6_jfb_uMTxqsCnbqpXpCSyY8ik86DWn78_gVy87K-nSI6NNf2LqMGwH0XfV0F4znFzQ0TYF-zSoztnh_s3VdX_rwxH7zjsBQ3TMEG2y-mqwbfYK2ciyhpt0OPzBjgZnpSsrK3ZIF1IQCrNtamm8DCe7O8fbe36TvsHXUirhm0hLpYtMxtqEsTII1iwCnkCLWIQZV-j4GG0iQ6nZZaYSGyjDM_R_0GmWFn3n57BYjkqzCoxHiOO6iOysjmWCVfJCSSO5EUIn-AoPNqa_MdUNtzml2BimNSszT2k8UzeeHrxpZb_VjB7_lFqbakPaWPVlivMfuncqkdKD120x2iMdsmSlGU1IhpI_cSECD1Zq5WmbEYqy6SjlQTKnVq0AcX3Pl5SDc8f5HVCIWpKEHrxzavOfrqcHvf6-e3pxF-GX8JBTbmMXzLkGi9V4Yl4h4KrydWdYvwGdOSjX
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3bbtQwEB1BkYAX7oVAASN4ASnbje1c_FiVVrulqaptK_oWJY7TLixZtM0igYTEJ_CNfAkzjptlKUKCt0ge5zrjnLHH5wC8yLmsZFFVxPyICQqPSr-QovSNLoTuK665lWRJ96LBkdw5Do9dbQ7thWn5IboJN4oMO15TgNOE9PqCNfTdh9m4x1UUistwhSS9bUY1WrBHKWU1ihFBCD9I-nHHTsrXF32X_0cXQObFWslfMaz9CW3fbJVWzyx3IdWevO_Nm6Knv_zG7Pjfz3cLbjh4yjZaf7oNl0x9B66mbgH-LnxN85Oa9j0ymvcnsg7DthCAN475muH4grm2KdnbcXPK9oc_vn0fbbw-YJ94L2AIkBkCTtbuDq7cdCGbVszRk04mn9nB-KS2bXXD9mlPCqJhtklXmt2Do-2tw82B7xQcfC2lEr6JtFS6zGWsTRgrg3itQswTaBGLMOcKcx-jTWRInV3mKqkCZXiOKRDmzbLC9HkVVuppbR4A4xFCuT6Cu0rHMsEuRamkkdwIoRM8hQcvz79jph29OalsTLKWmJln9D4z-z49eN7ZfmxJPf5otXbuDpkL7LMMh0DM8FQipQfPumYMSVpnyWsznZMN6T9xIQIP7rfe011GKBLUUcqDZMmvOgOi-15uqcenlvY7oCq1JAk9eGX95i-3nu2ko6E9evgvxk_h2uAw3c12h3tvHsF1TlLHtrZzDVaa2dw8RvzVFE9slP0EBBws8g
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1fb9MwED-NIU288P9PYIARvICUrrGdNJZ4mdZV66BT1TGxlylKHHsrlHQqKRJISHwEPiOfhDsnTSlDSPAWyefYce7s39nn3wE8S7m0MrOWmB_RQeFR7mdS5L7RmdBtxTV3KVkGB9Hekdw_Do_X4OXiLkzFD9FsuJFluPmaDPw8t1tL0tB3H2bjFldRKC7BZRm1Y9Lp7mhJHqWUS1GMAEL4QdzuNOSkfGtZd3U5uoAxL4ZK_gph3RrUuwYni95XoSfvW_Mya-kvvxE7_u_nXYerNThl25U23YA1U9yEjUF9_H4Lvg7S04JuPTLa9SeqDsN2EX6XNe81w9kFPW2Ts7fj8owN-z--fR9tdw_ZJ94KGMJjhnCTVXeDbb1ZyKaW1eSkk8lndjg-LVxZUbIh3UhBLMx2qKXZbTjq7b7Z2fPr_A2-llIJ30RaKp2nsqNN2FEG0ZpFxBNo0RFhyhV6PkabyFBudpmq2AbK8BQdIPSapUXn-Q6sF9PC3APGIwRybYR2VndkjFWyXEkjuRFCx_gKD54vfmOia3JzyrExSSpaZp7QeCZuPD142sieV5Qef5TaXGhDUpv1xwQnQPTvVCylB0-aYjRIOmVJCzOdkwxlf-JCBB7crZSnaUYoSqejlAfxilo1AkT2vVpSjM8c6XdAMWpxHHrwwqnNX7qe7A9Gffd0_1-EH8PGsNtLXvcPXj2AK5zyHLvAzk1YL2dz8xDBV5k9cjb2E4MjK6o
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=Magnetic+Resonance+Elastography+Combined+With+PI-RADS+v2.1+for+the+Identification+of+Clinically+Significant+Prostate+Cancer&rft.jtitle=Journal+of+magnetic+resonance+imaging&rft.au=Chen%2C+Jie&rft.au=Chen%2C+Yuntian&rft.au=Chen%2C+Guoyong&rft.au=Deng%2C+Liping&rft.date=2025-05-01&rft.eissn=1522-2586&rft.volume=61&rft.issue=5&rft.spage=2248&rft_id=info:doi/10.1002%2Fjmri.29653&rft_id=info%3Apmid%2F39513399&rft.externalDocID=39513399
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1053-1807&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1053-1807&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1053-1807&client=summon