Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer
| العنوان: | Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer |
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| المؤلفون: | Yahong Luo, Yue Dong, Xiran Jiang, Nannan Zhao, Tao Yu, Guanyu Liu, Shuxian Niu, E-Nuo Cui, Xiaoyu Wang, Yangyang Kan |
| المصدر: | Frontiers in Oncology Frontiers in Oncology, Vol 11 (2021) |
| بيانات النشر: | Frontiers Media S.A., 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Cancer Research, Digital mammography, medicine.diagnostic_test, Receiver operating characteristic, genetic structures, business.industry, mammography, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Nomogram, medicine.disease, nomogram, Breast cancer screening, Breast cancer, Radiomics, Oncology, radiomics, medicine, Mammography, Nuclear medicine, business, RC254-282, breast, Diffusion MRI, Original Research, MRI |
| الوصف: | ObjectivesThis study aims to evaluate digital mammography (DM), digital breast tomosynthesis (DBT), dynamic contrast-enhanced (DCE), and diffusion-weighted (DW) MRI, individually and combined, for the values in the diagnosis of breast cancer, and propose a visualized clinical-radiomics nomogram for potential clinical uses.MethodsA total of 120 patients were enrolled between September 2017 and July 2018, all underwent preoperative DM, DBT, DCE, and DWI scans. Radiomics features were extracted and selected using the least absolute shrinkage and selection operator (LASSO) regression. A radiomics nomogram was constructed integrating the radiomics signature and important clinical predictors, and assessed with the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).ResultsThe radiomics signature derived from DBT plus DM generated a lower area under the ROC curve (AUC) and sensitivity, but a higher specificity compared with that from DCE plus DWI. The nomogram integrating the combined radiomics signature, age, and menstruation status achieved the best diagnostic performance in the training (AUCs, nomogram vs. combined radiomics signature vs. clinical model, 0.975 vs. 0.964 vs. 0.782) and validation (AUCs, nomogram vs. combined radiomics signature vs. clinical model, 0.983 vs. 0.978 vs. 0.680) cohorts. DCA confirmed the potential clinical usefulness of the nomogram.ConclusionsThe DBT plus DM provided a lower AUC and sensitivity, but a higher specificity than DCE plus DWI for detecting breast cancer. The proposed clinical-radiomics nomogram has diagnostic advantages over each modality, and can be considered as an efficient tool for breast cancer screening. |
| اللغة: | English |
| تدمد: | 2234-943X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e07b4cf45fa1d3a0661f9799af6498 http://europepmc.org/articles/PMC8461299 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....86e07b4cf45fa1d3a0661f9799af6498 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 2234943X |
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