Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study
PurposeTo construct diagnostic models that distinguish renal oncocytoma (RO) from chromophobe renal cell carcinoma (CRCC) using intratumoral and peritumoral radiomic features from the corticomedullary phase (CMP) and nephrographic phase (NP) of computed tomography, and compare model results with man...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1501084/full |
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| author | Yongsong Ye Bei Weng Yan Guo Lesheng Huang Shanghuang Xie Guimian Zhong Wenhui Feng Wenxiang Lin Zhixuan Song Huanjun Wang Tianzhu Liu |
| author_facet | Yongsong Ye Bei Weng Yan Guo Lesheng Huang Shanghuang Xie Guimian Zhong Wenhui Feng Wenxiang Lin Zhixuan Song Huanjun Wang Tianzhu Liu |
| author_sort | Yongsong Ye |
| collection | DOAJ |
| description | PurposeTo construct diagnostic models that distinguish renal oncocytoma (RO) from chromophobe renal cell carcinoma (CRCC) using intratumoral and peritumoral radiomic features from the corticomedullary phase (CMP) and nephrographic phase (NP) of computed tomography, and compare model results with manual and radiological results.MethodsThe RO and CRCC cases from five centers were split into a training set (70%) and a validation set (30%). CMP and NP intratumoral and peritumoral (1–3 mm) radiomic features were extracted. Segmentation was performed by radiologists and software. Features with high intraclass correlation coefficients (ICC>0.75) were selected through univariate analysis, followed by the LASSO method to determine the final features for the SVM model. All images were assessed by two radiologists, and radiological reports were also examined. The diagnostic performances of the different methods were compared using several statistical methods.ResultsThe training set had 65 cases (29 RO, 36 CRCC) and the validation set had 27 cases (12 RO, 15 CRCC). All the training models had excellent performance (area under the curve [AUC]: 0.828–0.942); the AUC values of the validation models ranged from 0.900 (Model 4) to 0.600 (Model 2). CMP models (AUC: 0.811–0.900) generally outperformed NP and fusion models (AUC: 0.728–0.756). SVM models (sensitivity: 62.50–88.89%; specificity: 63.16–77.78%; accuracy: 62.96–81.48%) outperformed manual diagnosis (sensitivity: 46.74–70.59%; specificity: 41.67–46.34%; accuracy: 52.27–59.78%). The clinical reports alone had no diagnostic value.ConclusionCMP intratumoral and peritumoral radiomics models reliably distinguished RO from CRCC. |
| format | Article |
| id | doaj-art-7e9a59938ac4493c977226309cb346f5 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-7e9a59938ac4493c977226309cb346f52025-02-05T05:17:44ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-02-011510.3389/fonc.2025.15010841501084Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective studyYongsong Ye0Bei Weng1Yan Guo2Lesheng Huang3Shanghuang Xie4Guimian Zhong5Wenhui Feng6Wenxiang Lin7Zhixuan Song8Huanjun Wang9Tianzhu Liu10Department of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, ChinaLab of Molecular Imaging and Medical Intelligence, Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen Clinical Medical College, Guangzhou University of Chinese Medicine, Longgang Central Hospital of Shantou University Medical College, Shenzhen, ChinaDepartment of Radiology, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Radiology, Zhuhai People’s Hospital, Zhuhai, ChinaDepartment of Radiology, The First Affiliated Hospital of GuangZhou Medical University, HengQin Hospital, Zhuhai, ChinaClinical and Technical Support, Philips Healthcare, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, ChinaPurposeTo construct diagnostic models that distinguish renal oncocytoma (RO) from chromophobe renal cell carcinoma (CRCC) using intratumoral and peritumoral radiomic features from the corticomedullary phase (CMP) and nephrographic phase (NP) of computed tomography, and compare model results with manual and radiological results.MethodsThe RO and CRCC cases from five centers were split into a training set (70%) and a validation set (30%). CMP and NP intratumoral and peritumoral (1–3 mm) radiomic features were extracted. Segmentation was performed by radiologists and software. Features with high intraclass correlation coefficients (ICC>0.75) were selected through univariate analysis, followed by the LASSO method to determine the final features for the SVM model. All images were assessed by two radiologists, and radiological reports were also examined. The diagnostic performances of the different methods were compared using several statistical methods.ResultsThe training set had 65 cases (29 RO, 36 CRCC) and the validation set had 27 cases (12 RO, 15 CRCC). All the training models had excellent performance (area under the curve [AUC]: 0.828–0.942); the AUC values of the validation models ranged from 0.900 (Model 4) to 0.600 (Model 2). CMP models (AUC: 0.811–0.900) generally outperformed NP and fusion models (AUC: 0.728–0.756). SVM models (sensitivity: 62.50–88.89%; specificity: 63.16–77.78%; accuracy: 62.96–81.48%) outperformed manual diagnosis (sensitivity: 46.74–70.59%; specificity: 41.67–46.34%; accuracy: 52.27–59.78%). The clinical reports alone had no diagnostic value.ConclusionCMP intratumoral and peritumoral radiomics models reliably distinguished RO from CRCC.https://www.frontiersin.org/articles/10.3389/fonc.2025.1501084/fullrenal oncocytomachromophobe renal cell carcinomaperitumoralintratumoralradiomics |
| spellingShingle | Yongsong Ye Bei Weng Yan Guo Lesheng Huang Shanghuang Xie Guimian Zhong Wenhui Feng Wenxiang Lin Zhixuan Song Huanjun Wang Tianzhu Liu Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study Frontiers in Oncology renal oncocytoma chromophobe renal cell carcinoma peritumoral intratumoral radiomics |
| title | Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study |
| title_full | Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study |
| title_fullStr | Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study |
| title_full_unstemmed | Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study |
| title_short | Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study |
| title_sort | intratumoral and peritumoral radiomics using multi phase contrast enhanced ct for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma a multicenter retrospective study |
| topic | renal oncocytoma chromophobe renal cell carcinoma peritumoral intratumoral radiomics |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1501084/full |
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