Yong'ai Li MD, PhD, Junming Jian PhD, Huijie Ge MD, Xin Gao PhD, Jinwei Qiang MD, PhD
{"title":"瘤周磁共振成像放射组学特征提高了上皮性卵巢癌患者化疗反应的评估效率","authors":"Yong'ai Li MD, PhD, Junming Jian PhD, Huijie Ge MD, Xin Gao PhD, Jinwei Qiang MD, PhD","doi":"10.1002/jmri.29359","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Background</h3>\n \n <p>It remains unclear whether extracting peritumoral volume (PTV) radiomics features are useful tools for evaluating response to chemotherapy of epithelial ovarian cancer (EOC).</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To evaluate MRI radiomics signatures (RS) capturing subtle changes of PTV and their added evaluation performance to whole tumor volume (WTV) for response to chemotherapy in patients with EOC.</p>\n </section>\n \n <section>\n \n <h3> Study Type</h3>\n \n <p>Retrospective.</p>\n </section>\n \n <section>\n \n <h3> Population</h3>\n \n <p>219 patients aged from 15 to 79 years were enrolled.</p>\n </section>\n \n <section>\n \n <h3> Field Strength/Sequence</h3>\n \n <p>3.0 or 1.5T, axial fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), and contrast enhanced T1-weighted imaging (CE-T1WI).</p>\n </section>\n \n <section>\n \n <h3> Assessment</h3>\n \n <p>MRI features were extracted from the four axial sequences and six different volumes of interest (VOIs) (WTV and WTV + PTV (WPTV)) with different peritumor sizes (PS) ranging from 1 to 5 mm. Those features underwent preprocessing, and the most informative features were selected using minimum redundancy maximum relevance and least absolute shrinkage and selection operator to construct the RS. The optimal RS, with the highest area under the curve (AUC) of receiver operating characteristic was then integrated with independent clinical characteristics through multivariable logistic regression to construct the radiomics-clinical model (RCM).</p>\n </section>\n \n <section>\n \n <h3> Statistical Tests</h3>\n \n <p>Mann–Whitney U test, chi-squared test, DeLong test, log-rank test. <i>P</i> < 0.05 indicated a significant difference.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>All the RSs constructed on WPTV exhibited higher AUCs (0.720–0.756) than WTV (0.671). Of which, RS with PS = 2 mm displayed a significantly better performance (AUC = 0.756). International Federation of Gynecology and Obstetrics (FIGO) stage was identified as the exclusive independent clinical evaluation characteristic, and the RCM demonstrated higher AUC (0.790) than the RS, but without statistical significance (<i>P</i> = 0.261).</p>\n </section>\n \n <section>\n \n <h3> Data Conclusion</h3>\n \n <p>The radiomics features extracted from PTV could increase the efficiency of WTV radiomics for evaluating the chemotherapy response of EOC. The cut-off of 2 mm PTV was a reasonable value to obtain effective evaluation efficiency.</p>\n </section>\n \n <section>\n \n <h3> Level of Evidence</h3>\n \n <p>4</p>\n </section>\n \n <section>\n \n <h3> Technical Efficacy</h3>\n \n <p>Stage 2</p>\n </section>\n </div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer\",\"authors\":\"Yong'ai Li MD, PhD, Junming Jian PhD, Huijie Ge MD, Xin Gao PhD, Jinwei Qiang MD, PhD\",\"doi\":\"10.1002/jmri.29359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>It remains unclear whether extracting peritumoral volume (PTV) radiomics features are useful tools for evaluating response to chemotherapy of epithelial ovarian cancer (EOC).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>To evaluate MRI radiomics signatures (RS) capturing subtle changes of PTV and their added evaluation performance to whole tumor volume (WTV) for response to chemotherapy in patients with EOC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Study Type</h3>\\n \\n <p>Retrospective.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Population</h3>\\n \\n <p>219 patients aged from 15 to 79 years were enrolled.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Field Strength/Sequence</h3>\\n \\n <p>3.0 or 1.5T, axial fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), and contrast enhanced T1-weighted imaging (CE-T1WI).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Assessment</h3>\\n \\n <p>MRI features were extracted from the four axial sequences and six different volumes of interest (VOIs) (WTV and WTV + PTV (WPTV)) with different peritumor sizes (PS) ranging from 1 to 5 mm. Those features underwent preprocessing, and the most informative features were selected using minimum redundancy maximum relevance and least absolute shrinkage and selection operator to construct the RS. The optimal RS, with the highest area under the curve (AUC) of receiver operating characteristic was then integrated with independent clinical characteristics through multivariable logistic regression to construct the radiomics-clinical model (RCM).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Statistical Tests</h3>\\n \\n <p>Mann–Whitney U test, chi-squared test, DeLong test, log-rank test. <i>P</i> < 0.05 indicated a significant difference.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>All the RSs constructed on WPTV exhibited higher AUCs (0.720–0.756) than WTV (0.671). Of which, RS with PS = 2 mm displayed a significantly better performance (AUC = 0.756). International Federation of Gynecology and Obstetrics (FIGO) stage was identified as the exclusive independent clinical evaluation characteristic, and the RCM demonstrated higher AUC (0.790) than the RS, but without statistical significance (<i>P</i> = 0.261).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Data Conclusion</h3>\\n \\n <p>The radiomics features extracted from PTV could increase the efficiency of WTV radiomics for evaluating the chemotherapy response of EOC. The cut-off of 2 mm PTV was a reasonable value to obtain effective evaluation efficiency.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Level of Evidence</h3>\\n \\n <p>4</p>\\n </section>\\n \\n <section>\\n \\n <h3> Technical Efficacy</h3>\\n \\n <p>Stage 2</p>\\n </section>\\n </div>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jmri.29359\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jmri.29359","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer
Background
It remains unclear whether extracting peritumoral volume (PTV) radiomics features are useful tools for evaluating response to chemotherapy of epithelial ovarian cancer (EOC).
Purpose
To evaluate MRI radiomics signatures (RS) capturing subtle changes of PTV and their added evaluation performance to whole tumor volume (WTV) for response to chemotherapy in patients with EOC.
Study Type
Retrospective.
Population
219 patients aged from 15 to 79 years were enrolled.
Field Strength/Sequence
3.0 or 1.5T, axial fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), and contrast enhanced T1-weighted imaging (CE-T1WI).
Assessment
MRI features were extracted from the four axial sequences and six different volumes of interest (VOIs) (WTV and WTV + PTV (WPTV)) with different peritumor sizes (PS) ranging from 1 to 5 mm. Those features underwent preprocessing, and the most informative features were selected using minimum redundancy maximum relevance and least absolute shrinkage and selection operator to construct the RS. The optimal RS, with the highest area under the curve (AUC) of receiver operating characteristic was then integrated with independent clinical characteristics through multivariable logistic regression to construct the radiomics-clinical model (RCM).
Statistical Tests
Mann–Whitney U test, chi-squared test, DeLong test, log-rank test. P < 0.05 indicated a significant difference.
Results
All the RSs constructed on WPTV exhibited higher AUCs (0.720–0.756) than WTV (0.671). Of which, RS with PS = 2 mm displayed a significantly better performance (AUC = 0.756). International Federation of Gynecology and Obstetrics (FIGO) stage was identified as the exclusive independent clinical evaluation characteristic, and the RCM demonstrated higher AUC (0.790) than the RS, but without statistical significance (P = 0.261).
Data Conclusion
The radiomics features extracted from PTV could increase the efficiency of WTV radiomics for evaluating the chemotherapy response of EOC. The cut-off of 2 mm PTV was a reasonable value to obtain effective evaluation efficiency.
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