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A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk
Background Vesical Imaging–Reporting and Data System (VI‐RADS) is widely used to assess the muscle‐invasive status of bladder cancer. However, the current classification efficacy of VI‐RASD 2 tumors of stalk is unsatisfactory. Purpose To develop a nomogram to assess muscle‐invasive bladder cancer (M...
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Published in: | Journal of magnetic resonance imaging 2024-04, Vol.59 (4), p.1179-1190 |
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creator | Cai, Lingkai Yu, Ruixi Liu, Peikun Zhuang, Juntao Li, Kai Wu, Qikai Sun, Xueying Liu, Yang Zhou, Ming Cao, Qiang Li, Pengchao Yang, Xiao Lu, Qiang |
description | Background
Vesical Imaging–Reporting and Data System (VI‐RADS) is widely used to assess the muscle‐invasive status of bladder cancer. However, the current classification efficacy of VI‐RASD 2 tumors of stalk is unsatisfactory.
Purpose
To develop a nomogram to assess muscle‐invasive bladder cancer (MIBC) in VI‐RADS 2 tumors with stalk.
Study Type
Retrospective.
Population
A total of 186 patients (age: 67.8 ± 12.7 years) with 15.1% females, divided randomly into a training cohort (N = 130) and validation cohort (N = 56).
Field Strength/Sequence
3‐T, T2‐weighted imaging (turbo spin‐echo), diffusion‐weighted imaging (breathing‐free spin‐echo), and dynamic contrast‐enhanced imaging (gradient‐echo).
Assessment
Twenty‐one MRI features of tumors and stalks were developed from training cohort. The mean apparent diffusion coefficient (ADC) values of the tumor, stalk, and psoas muscles were calculated from the three circular regions of interest. The normalized T value=meanADCtumormeanADCmuscle. The normalized ST value=meanADCstalkmeanADCtumor. Three readers assessed the morphology of tumors and stalks.
Statistical Tests
The final features of nomogram were selected by univariable logistic and the least absolute shrinkage and selection operator (LASSO) regression. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis.
Results
In VI‐RADS 2 tumors with stalk, tumor size over 3 cm, increased stalk width, stalk morphology, decreased normalized T value, and increased normalized ST value were selected as the risk factors for MIBC. The AUC, accuracy, sensitivity, and specificity of the nomogram to assess MIBC were 0.969 (95% CI: 0.941–0.997), 92.3%, 94.1%, and 92.0% in training cohort and 0.940 (95% CI: 0.859–1.000), 89.3%, 75.0%, and 91.7% in validation cohort.
Data Conclusion
This study constructed a nomogram for preoperative assessment of MIBC and modifying the current VI‐RADS.
Level of Evidence
3
Technical Efficacy
Stage 2 |
doi_str_mv | 10.1002/jmri.28924 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2854346991</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2954753364</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3574-3bf4420a3ad2e66cd35af523d2e24502a93989fe5f9ce82a0a52eda899f1e2533</originalsourceid><addsrcrecordid>eNp9kEtOwzAQQC0E4lPYcABkiQ1CCjhjO4mXEVAoakFq-SwtkzqQksRgJ6DuOAJn5CS4BFiwYDUz0tPT6CG0HZKDkBA4nFW2OIBEAFtC6yEHCIAn0bLfCadBmJB4DW04NyOECMH4KlqjcUQghmgdXaf4wlTm3qoKmxyPxgPc16pprXa4MTh1TjuHR63LSo0H9YtyhalxUeObwcfb-zg9nmDAV21lrMO3RfOAJ40qHzfRSq5Kp7e-Zw9d90-ujs6C4eXp4CgdBhnlMQvoXc4YEEXVFHQUZVPKVc6B-gsYJ6AEFYnINc9FphNQRHHQU5UIkYcaOKU9tNd5n6x5brVrZFW4TJelqrVpnYSEM8oiIUKP7v5BZ6a1tf9OguAs9raIeWq_ozJrnLM6l0-2qJSdy5DIRWy5iC2_Ynt451vZ3lV6-ov-1PVA2AGvRann_6jkuQ_fST8B_3SHyg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2954753364</pqid></control><display><type>article</type><title>A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Cai, Lingkai ; Yu, Ruixi ; Liu, Peikun ; Zhuang, Juntao ; Li, Kai ; Wu, Qikai ; Sun, Xueying ; Liu, Yang ; Zhou, Ming ; Cao, Qiang ; Li, Pengchao ; Yang, Xiao ; Lu, Qiang</creator><creatorcontrib>Cai, Lingkai ; Yu, Ruixi ; Liu, Peikun ; Zhuang, Juntao ; Li, Kai ; Wu, Qikai ; Sun, Xueying ; Liu, Yang ; Zhou, Ming ; Cao, Qiang ; Li, Pengchao ; Yang, Xiao ; Lu, Qiang</creatorcontrib><description>Background
Vesical Imaging–Reporting and Data System (VI‐RADS) is widely used to assess the muscle‐invasive status of bladder cancer. However, the current classification efficacy of VI‐RASD 2 tumors of stalk is unsatisfactory.
Purpose
To develop a nomogram to assess muscle‐invasive bladder cancer (MIBC) in VI‐RADS 2 tumors with stalk.
Study Type
Retrospective.
Population
A total of 186 patients (age: 67.8 ± 12.7 years) with 15.1% females, divided randomly into a training cohort (N = 130) and validation cohort (N = 56).
Field Strength/Sequence
3‐T, T2‐weighted imaging (turbo spin‐echo), diffusion‐weighted imaging (breathing‐free spin‐echo), and dynamic contrast‐enhanced imaging (gradient‐echo).
Assessment
Twenty‐one MRI features of tumors and stalks were developed from training cohort. The mean apparent diffusion coefficient (ADC) values of the tumor, stalk, and psoas muscles were calculated from the three circular regions of interest. The normalized T value=meanADCtumormeanADCmuscle. The normalized ST value=meanADCstalkmeanADCtumor. Three readers assessed the morphology of tumors and stalks.
Statistical Tests
The final features of nomogram were selected by univariable logistic and the least absolute shrinkage and selection operator (LASSO) regression. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis.
Results
In VI‐RADS 2 tumors with stalk, tumor size over 3 cm, increased stalk width, stalk morphology, decreased normalized T value, and increased normalized ST value were selected as the risk factors for MIBC. The AUC, accuracy, sensitivity, and specificity of the nomogram to assess MIBC were 0.969 (95% CI: 0.941–0.997), 92.3%, 94.1%, and 92.0% in training cohort and 0.940 (95% CI: 0.859–1.000), 89.3%, 75.0%, and 91.7% in validation cohort.
Data Conclusion
This study constructed a nomogram for preoperative assessment of MIBC and modifying the current VI‐RADS.
Level of Evidence
3
Technical Efficacy
Stage 2</description><identifier>ISSN: 1053-1807</identifier><identifier>ISSN: 1522-2586</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.28924</identifier><identifier>PMID: 37602726</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Bladder ; Bladder cancer ; Cancer ; Data systems ; Decision analysis ; Diffusion coefficient ; Effectiveness ; Field strength ; Invasiveness ; Magnetic resonance imaging ; Mathematical analysis ; Medical imaging ; Methyl isobutyl carbinol ; Morphology ; Muscles ; nomogram ; Nomograms ; Population studies ; Risk factors ; Spin dynamics ; stalk ; Statistical analysis ; Statistical tests ; Training ; Tumors ; VI‐RADS</subject><ispartof>Journal of magnetic resonance imaging, 2024-04, Vol.59 (4), p.1179-1190</ispartof><rights>2023 International Society for Magnetic Resonance in Medicine.</rights><rights>2024 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3574-3bf4420a3ad2e66cd35af523d2e24502a93989fe5f9ce82a0a52eda899f1e2533</citedby><cites>FETCH-LOGICAL-c3574-3bf4420a3ad2e66cd35af523d2e24502a93989fe5f9ce82a0a52eda899f1e2533</cites><orcidid>0000-0002-5748-6625 ; 0000-0002-1056-9116 ; 0000-0003-3589-2507</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37602726$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cai, Lingkai</creatorcontrib><creatorcontrib>Yu, Ruixi</creatorcontrib><creatorcontrib>Liu, Peikun</creatorcontrib><creatorcontrib>Zhuang, Juntao</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Wu, Qikai</creatorcontrib><creatorcontrib>Sun, Xueying</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Zhou, Ming</creatorcontrib><creatorcontrib>Cao, Qiang</creatorcontrib><creatorcontrib>Li, Pengchao</creatorcontrib><creatorcontrib>Yang, Xiao</creatorcontrib><creatorcontrib>Lu, Qiang</creatorcontrib><title>A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background
Vesical Imaging–Reporting and Data System (VI‐RADS) is widely used to assess the muscle‐invasive status of bladder cancer. However, the current classification efficacy of VI‐RASD 2 tumors of stalk is unsatisfactory.
Purpose
To develop a nomogram to assess muscle‐invasive bladder cancer (MIBC) in VI‐RADS 2 tumors with stalk.
Study Type
Retrospective.
Population
A total of 186 patients (age: 67.8 ± 12.7 years) with 15.1% females, divided randomly into a training cohort (N = 130) and validation cohort (N = 56).
Field Strength/Sequence
3‐T, T2‐weighted imaging (turbo spin‐echo), diffusion‐weighted imaging (breathing‐free spin‐echo), and dynamic contrast‐enhanced imaging (gradient‐echo).
Assessment
Twenty‐one MRI features of tumors and stalks were developed from training cohort. The mean apparent diffusion coefficient (ADC) values of the tumor, stalk, and psoas muscles were calculated from the three circular regions of interest. The normalized T value=meanADCtumormeanADCmuscle. The normalized ST value=meanADCstalkmeanADCtumor. Three readers assessed the morphology of tumors and stalks.
Statistical Tests
The final features of nomogram were selected by univariable logistic and the least absolute shrinkage and selection operator (LASSO) regression. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis.
Results
In VI‐RADS 2 tumors with stalk, tumor size over 3 cm, increased stalk width, stalk morphology, decreased normalized T value, and increased normalized ST value were selected as the risk factors for MIBC. The AUC, accuracy, sensitivity, and specificity of the nomogram to assess MIBC were 0.969 (95% CI: 0.941–0.997), 92.3%, 94.1%, and 92.0% in training cohort and 0.940 (95% CI: 0.859–1.000), 89.3%, 75.0%, and 91.7% in validation cohort.
Data Conclusion
This study constructed a nomogram for preoperative assessment of MIBC and modifying the current VI‐RADS.
Level of Evidence
3
Technical Efficacy
Stage 2</description><subject>Bladder</subject><subject>Bladder cancer</subject><subject>Cancer</subject><subject>Data systems</subject><subject>Decision analysis</subject><subject>Diffusion coefficient</subject><subject>Effectiveness</subject><subject>Field strength</subject><subject>Invasiveness</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Methyl isobutyl carbinol</subject><subject>Morphology</subject><subject>Muscles</subject><subject>nomogram</subject><subject>Nomograms</subject><subject>Population studies</subject><subject>Risk factors</subject><subject>Spin dynamics</subject><subject>stalk</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Training</subject><subject>Tumors</subject><subject>VI‐RADS</subject><issn>1053-1807</issn><issn>1522-2586</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtOwzAQQC0E4lPYcABkiQ1CCjhjO4mXEVAoakFq-SwtkzqQksRgJ6DuOAJn5CS4BFiwYDUz0tPT6CG0HZKDkBA4nFW2OIBEAFtC6yEHCIAn0bLfCadBmJB4DW04NyOECMH4KlqjcUQghmgdXaf4wlTm3qoKmxyPxgPc16pprXa4MTh1TjuHR63LSo0H9YtyhalxUeObwcfb-zg9nmDAV21lrMO3RfOAJ40qHzfRSq5Kp7e-Zw9d90-ujs6C4eXp4CgdBhnlMQvoXc4YEEXVFHQUZVPKVc6B-gsYJ6AEFYnINc9FphNQRHHQU5UIkYcaOKU9tNd5n6x5brVrZFW4TJelqrVpnYSEM8oiIUKP7v5BZ6a1tf9OguAs9raIeWq_ozJrnLM6l0-2qJSdy5DIRWy5iC2_Ynt451vZ3lV6-ov-1PVA2AGvRann_6jkuQ_fST8B_3SHyg</recordid><startdate>202404</startdate><enddate>202404</enddate><creator>Cai, Lingkai</creator><creator>Yu, Ruixi</creator><creator>Liu, Peikun</creator><creator>Zhuang, Juntao</creator><creator>Li, Kai</creator><creator>Wu, Qikai</creator><creator>Sun, Xueying</creator><creator>Liu, Yang</creator><creator>Zhou, Ming</creator><creator>Cao, Qiang</creator><creator>Li, Pengchao</creator><creator>Yang, Xiao</creator><creator>Lu, Qiang</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5748-6625</orcidid><orcidid>https://orcid.org/0000-0002-1056-9116</orcidid><orcidid>https://orcid.org/0000-0003-3589-2507</orcidid></search><sort><creationdate>202404</creationdate><title>A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk</title><author>Cai, Lingkai ; Yu, Ruixi ; Liu, Peikun ; Zhuang, Juntao ; Li, Kai ; Wu, Qikai ; Sun, Xueying ; Liu, Yang ; Zhou, Ming ; Cao, Qiang ; Li, Pengchao ; Yang, Xiao ; Lu, Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3574-3bf4420a3ad2e66cd35af523d2e24502a93989fe5f9ce82a0a52eda899f1e2533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bladder</topic><topic>Bladder cancer</topic><topic>Cancer</topic><topic>Data systems</topic><topic>Decision analysis</topic><topic>Diffusion coefficient</topic><topic>Effectiveness</topic><topic>Field strength</topic><topic>Invasiveness</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Methyl isobutyl carbinol</topic><topic>Morphology</topic><topic>Muscles</topic><topic>nomogram</topic><topic>Nomograms</topic><topic>Population studies</topic><topic>Risk factors</topic><topic>Spin dynamics</topic><topic>stalk</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Training</topic><topic>Tumors</topic><topic>VI‐RADS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Lingkai</creatorcontrib><creatorcontrib>Yu, Ruixi</creatorcontrib><creatorcontrib>Liu, Peikun</creatorcontrib><creatorcontrib>Zhuang, Juntao</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Wu, Qikai</creatorcontrib><creatorcontrib>Sun, Xueying</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Zhou, Ming</creatorcontrib><creatorcontrib>Cao, Qiang</creatorcontrib><creatorcontrib>Li, Pengchao</creatorcontrib><creatorcontrib>Yang, Xiao</creatorcontrib><creatorcontrib>Lu, Qiang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Lingkai</au><au>Yu, Ruixi</au><au>Liu, Peikun</au><au>Zhuang, Juntao</au><au>Li, Kai</au><au>Wu, Qikai</au><au>Sun, Xueying</au><au>Liu, Yang</au><au>Zhou, Ming</au><au>Cao, Qiang</au><au>Li, Pengchao</au><au>Yang, Xiao</au><au>Lu, Qiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2024-04</date><risdate>2024</risdate><volume>59</volume><issue>4</issue><spage>1179</spage><epage>1190</epage><pages>1179-1190</pages><issn>1053-1807</issn><issn>1522-2586</issn><eissn>1522-2586</eissn><abstract>Background
Vesical Imaging–Reporting and Data System (VI‐RADS) is widely used to assess the muscle‐invasive status of bladder cancer. However, the current classification efficacy of VI‐RASD 2 tumors of stalk is unsatisfactory.
Purpose
To develop a nomogram to assess muscle‐invasive bladder cancer (MIBC) in VI‐RADS 2 tumors with stalk.
Study Type
Retrospective.
Population
A total of 186 patients (age: 67.8 ± 12.7 years) with 15.1% females, divided randomly into a training cohort (N = 130) and validation cohort (N = 56).
Field Strength/Sequence
3‐T, T2‐weighted imaging (turbo spin‐echo), diffusion‐weighted imaging (breathing‐free spin‐echo), and dynamic contrast‐enhanced imaging (gradient‐echo).
Assessment
Twenty‐one MRI features of tumors and stalks were developed from training cohort. The mean apparent diffusion coefficient (ADC) values of the tumor, stalk, and psoas muscles were calculated from the three circular regions of interest. The normalized T value=meanADCtumormeanADCmuscle. The normalized ST value=meanADCstalkmeanADCtumor. Three readers assessed the morphology of tumors and stalks.
Statistical Tests
The final features of nomogram were selected by univariable logistic and the least absolute shrinkage and selection operator (LASSO) regression. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis.
Results
In VI‐RADS 2 tumors with stalk, tumor size over 3 cm, increased stalk width, stalk morphology, decreased normalized T value, and increased normalized ST value were selected as the risk factors for MIBC. The AUC, accuracy, sensitivity, and specificity of the nomogram to assess MIBC were 0.969 (95% CI: 0.941–0.997), 92.3%, 94.1%, and 92.0% in training cohort and 0.940 (95% CI: 0.859–1.000), 89.3%, 75.0%, and 91.7% in validation cohort.
Data Conclusion
This study constructed a nomogram for preoperative assessment of MIBC and modifying the current VI‐RADS.
Level of Evidence
3
Technical Efficacy
Stage 2</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>37602726</pmid><doi>10.1002/jmri.28924</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5748-6625</orcidid><orcidid>https://orcid.org/0000-0002-1056-9116</orcidid><orcidid>https://orcid.org/0000-0003-3589-2507</orcidid></addata></record> |
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subjects | Bladder Bladder cancer Cancer Data systems Decision analysis Diffusion coefficient Effectiveness Field strength Invasiveness Magnetic resonance imaging Mathematical analysis Medical imaging Methyl isobutyl carbinol Morphology Muscles nomogram Nomograms Population studies Risk factors Spin dynamics stalk Statistical analysis Statistical tests Training Tumors VI‐RADS |
title | A Nomogram of MRI Features to Assess Muscle Invasion in VI‐RADS 2 Tumors With Stalk |
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