Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma
IntroductionThe molecular subtype plays a significant role in breast carcinoma (BC), which is the main indicator to guide treatment and is closely associated with prognosis. The aim of this study was to investigate the feasibility and efficacy of an ultrasound-based radiomics nomogram in preoperativ...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.993466/full |
| _version_ | 1798015939593109504 |
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| author | Jiangfeng Wu Lifang Ge Yun Jin Yunlai Wang Liyan Hu Dong Xu Dong Xu Zhengping Wang |
| author_facet | Jiangfeng Wu Lifang Ge Yun Jin Yunlai Wang Liyan Hu Dong Xu Dong Xu Zhengping Wang |
| author_sort | Jiangfeng Wu |
| collection | DOAJ |
| description | IntroductionThe molecular subtype plays a significant role in breast carcinoma (BC), which is the main indicator to guide treatment and is closely associated with prognosis. The aim of this study was to investigate the feasibility and efficacy of an ultrasound-based radiomics nomogram in preoperatively discriminating the luminal from non-luminal type in patients with BC.MethodsA total of 264 BC patients who underwent routine ultrasound examination were enrolled in this study, of which 184 patients belonged to the training set and 80 patients to the test set. Breast tumors were delineated manually on the ultrasound images and then radiomics features were extracted. In the training set, the T test and least absolute shrinkage and selection operator (LASSO) were used for selecting features, and the radiomics score (Rad-score) for each patient was calculated. Based on the clinical risk features, Rad-score, and combined clinical risk features and Rad-score, three models were established, respectively. The performances of the models were validated with receiver operator characteristic (ROC) curve and decision curve analysis.ResultsIn all, 788 radiomics features per case were obtained from the ultrasound images. Through radiomics feature selection, 11 features were selected to constitute the Rad-score. The area under the ROC curve (AUC) of the Rad-score for predicting the luminal type was 0.828 in the training set and 0.786 in the test set. The nomogram comprising the Rad-score and US-reported tumor size showed AUCs of the training and test sets were 0.832 and 0.767, respectively, which were significantly higher than the AUCs of the clinical model in the training and test sets (0.691 and 0.526, respectively). However, there was no significant difference in predictive performance between the Rad-score and nomogram.ConclusionBoth the Rad-score and nomogram can be applied as useful, noninvasive tools for preoperatively discriminating the luminal from non-luminal type in patients with BC. Furthermore, this study might provide a novel technique to evaluate molecular subtypes of BC. |
| first_indexed | 2024-04-11T15:42:44Z |
| format | Article |
| id | doaj.art-8ff408122abe489fb2387dac0d329025 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-11T15:42:44Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-8ff408122abe489fb2387dac0d3290252022-12-22T04:15:44ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-11-011210.3389/fonc.2022.993466993466Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinomaJiangfeng Wu0Lifang Ge1Yun Jin2Yunlai Wang3Liyan Hu4Dong Xu5Dong Xu6Zhengping Wang7Department of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaDepartment of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaDepartment of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaDepartment of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaDepartment of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaDepartment of Diagnostic Ultrasound Imaging and Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, ChinaInstitute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, ChinaDepartment of Ultrasound, Dongyang People’s Hospital, Dongyang, Zhejiang, ChinaIntroductionThe molecular subtype plays a significant role in breast carcinoma (BC), which is the main indicator to guide treatment and is closely associated with prognosis. The aim of this study was to investigate the feasibility and efficacy of an ultrasound-based radiomics nomogram in preoperatively discriminating the luminal from non-luminal type in patients with BC.MethodsA total of 264 BC patients who underwent routine ultrasound examination were enrolled in this study, of which 184 patients belonged to the training set and 80 patients to the test set. Breast tumors were delineated manually on the ultrasound images and then radiomics features were extracted. In the training set, the T test and least absolute shrinkage and selection operator (LASSO) were used for selecting features, and the radiomics score (Rad-score) for each patient was calculated. Based on the clinical risk features, Rad-score, and combined clinical risk features and Rad-score, three models were established, respectively. The performances of the models were validated with receiver operator characteristic (ROC) curve and decision curve analysis.ResultsIn all, 788 radiomics features per case were obtained from the ultrasound images. Through radiomics feature selection, 11 features were selected to constitute the Rad-score. The area under the ROC curve (AUC) of the Rad-score for predicting the luminal type was 0.828 in the training set and 0.786 in the test set. The nomogram comprising the Rad-score and US-reported tumor size showed AUCs of the training and test sets were 0.832 and 0.767, respectively, which were significantly higher than the AUCs of the clinical model in the training and test sets (0.691 and 0.526, respectively). However, there was no significant difference in predictive performance between the Rad-score and nomogram.ConclusionBoth the Rad-score and nomogram can be applied as useful, noninvasive tools for preoperatively discriminating the luminal from non-luminal type in patients with BC. Furthermore, this study might provide a novel technique to evaluate molecular subtypes of BC.https://www.frontiersin.org/articles/10.3389/fonc.2022.993466/fullultrasoundbreast carcinomaradiomicsnon-luminal typeluminal type |
| spellingShingle | Jiangfeng Wu Lifang Ge Yun Jin Yunlai Wang Liyan Hu Dong Xu Dong Xu Zhengping Wang Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma Frontiers in Oncology ultrasound breast carcinoma radiomics non-luminal type luminal type |
| title | Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma |
| title_full | Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma |
| title_fullStr | Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma |
| title_full_unstemmed | Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma |
| title_short | Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma |
| title_sort | development and validation of an ultrasound based radiomics nomogram for predicting the luminal from non luminal type in patients with breast carcinoma |
| topic | ultrasound breast carcinoma radiomics non-luminal type luminal type |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.993466/full |
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