Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study
To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC). This study consisted of 89 consecutive patients with surgical...
Gespeichert in:
Veröffentlicht in: | Chinese journal of cancer research 2019-10, Vol.31 (5), p.806-817 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 817 |
---|---|
container_issue | 5 |
container_start_page | 806 |
container_title | Chinese journal of cancer research |
container_volume | 31 |
creator | Ye, Zheng Jiang, Hanyu Chen, Jie Liu, Xijiao Wei, Yi Xia, Chunchao Duan, Ting Cao, Likun Zhang, Zhen Song, Bin |
description | To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC).
This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67 (labeling index ≤15%) and high Ki-67 (labeling index >15%) groups. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival (RFS) rates after curative hepatectomy were also compared between groups.
A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients (C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates (AFP, BCLC-stage, capsule integrity, tumor margin, enhancing capsule), the combined nomogram showed higher discrimination ability (C-index: 0.936
. 0.795, P0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery (63.27%
. 85.00%, P |
doi_str_mv | 10.21147/j.issn.1000-9604.2019.05.10 |
format | Article |
fullrecord | <record><control><sourceid>wanfang_jour_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6856708</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>zgazyj201905010</wanfj_id><sourcerecordid>zgazyj201905010</sourcerecordid><originalsourceid>FETCH-LOGICAL-c394t-3f818483b33f9666650927f68f0d5c75938e4bff8e633ed1cb1860dde5ecedcd3</originalsourceid><addsrcrecordid>eNpVUV1v1DAQjBCIlsJfQH5AgpcEO44dByGkquKjoggJlWfLZ69zjnJ2sJPSq_jxOL22Ar_YWu_M7M4UxSuCq5qQpn07VC4lXxGMcdlx3FQ1Jl2FWa48Ko5J19ESc0oe5_d9y1HxLKUBY9YyTJ4WR5QI0nDRHBd_LuF6XiIg5dW4Ty6h4FGvTLiG2WmktDMI_FZ5Dab89uMc2RDRFME4PTvfo6-u5C1Ks5qXhJxHW5jUHDSM4zKqiLSK2vmwU-_QaYaFNEHGXUFGLGb_vHhi1Zjgxd19Uvz89PHy7Et58f3z-dnpRalp18wltYKIRtANpbbj-TDc1a3lwmLDdMs6KqDZWCuAUwqG6A0RHBsDDPLU2tCT4sOBd1o2u1wBP0c1yim6nYp7GZST__94t5V9uJJcMN5ikQleHwh-K2-V7-UQlpgNS_KmVzf7YU0AZ2tx7nxzJxXDrwXSLHcurXYoD2FJsqZ1LXDD2Ur6_tCqsy8pgn0YiGB5G7Uc5Bq1XHOUa45yFZKYyVull_8u9QC-z5b-BVduqeo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2322804658</pqid></control><display><type>article</type><title>Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Ye, Zheng ; Jiang, Hanyu ; Chen, Jie ; Liu, Xijiao ; Wei, Yi ; Xia, Chunchao ; Duan, Ting ; Cao, Likun ; Zhang, Zhen ; Song, Bin</creator><creatorcontrib>Ye, Zheng ; Jiang, Hanyu ; Chen, Jie ; Liu, Xijiao ; Wei, Yi ; Xia, Chunchao ; Duan, Ting ; Cao, Likun ; Zhang, Zhen ; Song, Bin ; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China ; West China School of Medicine, Sichuan University, Chengdu 610041, China</creatorcontrib><description>To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC).
This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67 (labeling index ≤15%) and high Ki-67 (labeling index >15%) groups. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival (RFS) rates after curative hepatectomy were also compared between groups.
A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients (C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates (AFP, BCLC-stage, capsule integrity, tumor margin, enhancing capsule), the combined nomogram showed higher discrimination ability (C-index: 0.936
. 0.795, P<0.001), good calibration (P>0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery (63.27%
. 85.00%, P<0.05).
Texture analysis on gadoxetic acid enhanced MRI can serve as a noninvasive approach to preoperatively predict Ki-67 status of HCC after curative resection. The combination of texture signature and clinical factors demonstrated the potential to further improve the prediction performance.</description><identifier>ISSN: 1000-9604</identifier><identifier>EISSN: 1993-0631</identifier><identifier>DOI: 10.21147/j.issn.1000-9604.2019.05.10</identifier><identifier>PMID: 31814684</identifier><language>eng</language><publisher>China: West China School of Medicine, Sichuan University, Chengdu 610041, China%Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</publisher><subject>Original</subject><ispartof>Chinese journal of cancer research, 2019-10, Vol.31 (5), p.806-817</ispartof><rights>Copyright © 2019 Chinese Journal of Cancer Research. All rights reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><rights>Copyright © 2019 Chinese Journal of Cancer Research. All rights reserved. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-3f818483b33f9666650927f68f0d5c75938e4bff8e633ed1cb1860dde5ecedcd3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zgazyj/zgazyj.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856708/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856708/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31814684$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ye, Zheng</creatorcontrib><creatorcontrib>Jiang, Hanyu</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Liu, Xijiao</creatorcontrib><creatorcontrib>Wei, Yi</creatorcontrib><creatorcontrib>Xia, Chunchao</creatorcontrib><creatorcontrib>Duan, Ting</creatorcontrib><creatorcontrib>Cao, Likun</creatorcontrib><creatorcontrib>Zhang, Zhen</creatorcontrib><creatorcontrib>Song, Bin</creatorcontrib><creatorcontrib>Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</creatorcontrib><creatorcontrib>West China School of Medicine, Sichuan University, Chengdu 610041, China</creatorcontrib><title>Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study</title><title>Chinese journal of cancer research</title><addtitle>Chin J Cancer Res</addtitle><description>To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC).
This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67 (labeling index ≤15%) and high Ki-67 (labeling index >15%) groups. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival (RFS) rates after curative hepatectomy were also compared between groups.
A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients (C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates (AFP, BCLC-stage, capsule integrity, tumor margin, enhancing capsule), the combined nomogram showed higher discrimination ability (C-index: 0.936
. 0.795, P<0.001), good calibration (P>0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery (63.27%
. 85.00%, P<0.05).
Texture analysis on gadoxetic acid enhanced MRI can serve as a noninvasive approach to preoperatively predict Ki-67 status of HCC after curative resection. The combination of texture signature and clinical factors demonstrated the potential to further improve the prediction performance.</description><subject>Original</subject><issn>1000-9604</issn><issn>1993-0631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpVUV1v1DAQjBCIlsJfQH5AgpcEO44dByGkquKjoggJlWfLZ69zjnJ2sJPSq_jxOL22Ar_YWu_M7M4UxSuCq5qQpn07VC4lXxGMcdlx3FQ1Jl2FWa48Ko5J19ESc0oe5_d9y1HxLKUBY9YyTJ4WR5QI0nDRHBd_LuF6XiIg5dW4Ty6h4FGvTLiG2WmktDMI_FZ5Dab89uMc2RDRFME4PTvfo6-u5C1Ks5qXhJxHW5jUHDSM4zKqiLSK2vmwU-_QaYaFNEHGXUFGLGb_vHhi1Zjgxd19Uvz89PHy7Et58f3z-dnpRalp18wltYKIRtANpbbj-TDc1a3lwmLDdMs6KqDZWCuAUwqG6A0RHBsDDPLU2tCT4sOBd1o2u1wBP0c1yim6nYp7GZST__94t5V9uJJcMN5ikQleHwh-K2-V7-UQlpgNS_KmVzf7YU0AZ2tx7nxzJxXDrwXSLHcurXYoD2FJsqZ1LXDD2Ur6_tCqsy8pgn0YiGB5G7Uc5Bq1XHOUa45yFZKYyVull_8u9QC-z5b-BVduqeo</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Ye, Zheng</creator><creator>Jiang, Hanyu</creator><creator>Chen, Jie</creator><creator>Liu, Xijiao</creator><creator>Wei, Yi</creator><creator>Xia, Chunchao</creator><creator>Duan, Ting</creator><creator>Cao, Likun</creator><creator>Zhang, Zhen</creator><creator>Song, Bin</creator><general>West China School of Medicine, Sichuan University, Chengdu 610041, China%Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</general><general>AME Publishing Company</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><scope>5PM</scope></search><sort><creationdate>20191001</creationdate><title>Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study</title><author>Ye, Zheng ; Jiang, Hanyu ; Chen, Jie ; Liu, Xijiao ; Wei, Yi ; Xia, Chunchao ; Duan, Ting ; Cao, Likun ; Zhang, Zhen ; Song, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-3f818483b33f9666650927f68f0d5c75938e4bff8e633ed1cb1860dde5ecedcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Zheng</creatorcontrib><creatorcontrib>Jiang, Hanyu</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Liu, Xijiao</creatorcontrib><creatorcontrib>Wei, Yi</creatorcontrib><creatorcontrib>Xia, Chunchao</creatorcontrib><creatorcontrib>Duan, Ting</creatorcontrib><creatorcontrib>Cao, Likun</creatorcontrib><creatorcontrib>Zhang, Zhen</creatorcontrib><creatorcontrib>Song, Bin</creatorcontrib><creatorcontrib>Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</creatorcontrib><creatorcontrib>West China School of Medicine, Sichuan University, Chengdu 610041, China</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chinese journal of cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Zheng</au><au>Jiang, Hanyu</au><au>Chen, Jie</au><au>Liu, Xijiao</au><au>Wei, Yi</au><au>Xia, Chunchao</au><au>Duan, Ting</au><au>Cao, Likun</au><au>Zhang, Zhen</au><au>Song, Bin</au><aucorp>Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</aucorp><aucorp>West China School of Medicine, Sichuan University, Chengdu 610041, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study</atitle><jtitle>Chinese journal of cancer research</jtitle><addtitle>Chin J Cancer Res</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>31</volume><issue>5</issue><spage>806</spage><epage>817</epage><pages>806-817</pages><issn>1000-9604</issn><eissn>1993-0631</eissn><abstract>To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC).
This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67 (labeling index ≤15%) and high Ki-67 (labeling index >15%) groups. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival (RFS) rates after curative hepatectomy were also compared between groups.
A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients (C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates (AFP, BCLC-stage, capsule integrity, tumor margin, enhancing capsule), the combined nomogram showed higher discrimination ability (C-index: 0.936
. 0.795, P<0.001), good calibration (P>0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery (63.27%
. 85.00%, P<0.05).
Texture analysis on gadoxetic acid enhanced MRI can serve as a noninvasive approach to preoperatively predict Ki-67 status of HCC after curative resection. The combination of texture signature and clinical factors demonstrated the potential to further improve the prediction performance.</abstract><cop>China</cop><pub>West China School of Medicine, Sichuan University, Chengdu 610041, China%Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China</pub><pmid>31814684</pmid><doi>10.21147/j.issn.1000-9604.2019.05.10</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1000-9604 |
ispartof | Chinese journal of cancer research, 2019-10, Vol.31 (5), p.806-817 |
issn | 1000-9604 1993-0631 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6856708 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Original |
title | Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T18%3A49%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Texture%20analysis%20on%20gadoxetic%20acid%20enhanced-MRI%20for%20predicting%20Ki-67%20status%20in%20hepatocellular%20carcinoma:%20A%20prospective%20study&rft.jtitle=Chinese%20journal%20of%20cancer%20research&rft.au=Ye,%20Zheng&rft.aucorp=Department%20of%20Radiology,%20West%20China%20Hospital,%20Sichuan%20University,%20Chengdu%20610041,%20China&rft.date=2019-10-01&rft.volume=31&rft.issue=5&rft.spage=806&rft.epage=817&rft.pages=806-817&rft.issn=1000-9604&rft.eissn=1993-0631&rft_id=info:doi/10.21147/j.issn.1000-9604.2019.05.10&rft_dat=%3Cwanfang_jour_pubme%3Ezgazyj201905010%3C/wanfang_jour_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2322804658&rft_id=info:pmid/31814684&rft_wanfj_id=zgazyj201905010&rfr_iscdi=true |