These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
181 related articles for article (PubMed ID: 35748203)
1. Digital breast tomosynthesis-based peritumoral radiomics approaches in the differentiation of benign and malignant breast lesions. Niu S; Yu T; Cao Y; Dong Y; Luo Y; Jiang X Diagn Interv Radiol; 2022 May; 28(3):217-225. PubMed ID: 35748203 [TBL] [Abstract][Full Text] [Related]
2. Development of an Intratumoral and Peritumoral Radiomics Nomogram Using Digital Breast Tomosynthesis for Preoperative Assessment of Lymphovascular Invasion in Invasive Breast Cancer. Xu M; Yang H; Sun J; Hao H; Li X; Liu G Acad Radiol; 2024 May; 31(5):1748-1761. PubMed ID: 38097466 [TBL] [Abstract][Full Text] [Related]
3. Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study. Jiang T; Song J; Wang X; Niu S; Zhao N; Dong Y; Wang X; Luo Y; Jiang X Mol Imaging Biol; 2022 Aug; 24(4):550-559. PubMed ID: 34904187 [TBL] [Abstract][Full Text] [Related]
4. Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer. Cui L; Yu T; Kan Y; Dong Y; Luo Y; Jiang X Diagn Interv Radiol; 2022 Jul; 28(4):312-321. PubMed ID: 35731710 [TBL] [Abstract][Full Text] [Related]
5. Radiomics Analysis on Digital Breast Tomosynthesis: Preoperative Evaluation of Lymphovascular Invasion Status in Invasive Breast Cancer. Wang D; Liu M; Zhuang Z; Wu S; Zhou P; Chen X; Zhu H; Liu H; Zhang L Acad Radiol; 2022 Dec; 29(12):1773-1782. PubMed ID: 35400556 [TBL] [Abstract][Full Text] [Related]
6. Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer. Niu S; Wang X; Zhao N; Liu G; Kan Y; Dong Y; Cui EN; Luo Y; Yu T; Jiang X Front Oncol; 2021; 11():725922. PubMed ID: 34568055 [TBL] [Abstract][Full Text] [Related]
7. Intra- and peritumoral radiomics for predicting malignant BiRADS category 4 breast lesions on contrast-enhanced spectral mammography: a multicenter study. Zhang S; Shao H; Li W; Zhang H; Lin F; Zhang Q; Zhang H; Wang Z; Gao J; Zhang R; Gu Y; Wang Y; Mao N; Xie H Eur Radiol; 2023 Aug; 33(8):5411-5422. PubMed ID: 37014410 [TBL] [Abstract][Full Text] [Related]
8. Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma. Xu M; Yang H; Yang Q; Teng P; Hao H; Liu C; Yu S; Liu G J Cancer Res Clin Oncol; 2023 Sep; 149(11):9317-9328. PubMed ID: 37208454 [TBL] [Abstract][Full Text] [Related]
9. Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer. Tan H; Wu Y; Bao F; Zhou J; Wan J; Tian J; Lin Y; Wang M Br J Radiol; 2020 Jul; 93(1111):20191019. PubMed ID: 32401540 [TBL] [Abstract][Full Text] [Related]
10. A Mammography-Based Radiomic Nomogram for Predicting Malignancy in Breast Suspicious Microcalcifications. Chen Y; Jiang H; Li J; Zhang J; Wu P; Dai Z Acad Radiol; 2024 Feb; 31(2):492-502. PubMed ID: 37940427 [TBL] [Abstract][Full Text] [Related]
11. An Automated Breast Volume Scanner-Based Intra- and Peritumoral Radiomics Nomogram for the Preoperative Prediction of Expression of Ki-67 in Breast Malignancy. Wu Y; Ma Q; Fan L; Wu S; Wang J Acad Radiol; 2024 Jan; 31(1):93-103. PubMed ID: 37544789 [TBL] [Abstract][Full Text] [Related]
12. Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis. Zeng F; Zeng H; Yang J; Huang D; Liu J; Wen C; Qin G; Liao S; Chen W; Xu W; Wang S Technol Cancer Res Treat; 2024; 23():15330338241289474. PubMed ID: 39376181 [TBL] [Abstract][Full Text] [Related]
13. Predicting Ki-67 expression levels in breast cancer using radiomics-based approaches on digital breast tomosynthesis and ultrasound. Liu J; Yan C; Liu C; Wang Y; Chen Q; Chen Y; Guo J; Chen S Front Oncol; 2024; 14():1403522. PubMed ID: 39055558 [TBL] [Abstract][Full Text] [Related]
14. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor. Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523 [TBL] [Abstract][Full Text] [Related]
15. Intratumoral analysis of digital breast tomosynthesis for predicting the Ki-67 level in breast cancer: A multi-center radiomics study. Jiang T; Jiang W; Chang S; Wang H; Niu S; Yue Z; Yang H; Wang X; Zhao N; Fang S; Luo Y; Jiang X Med Phys; 2022 Jan; 49(1):219-230. PubMed ID: 34861045 [TBL] [Abstract][Full Text] [Related]
16. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics. Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461 [TBL] [Abstract][Full Text] [Related]
17. Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI. Niu S; Jiang W; Zhao N; Jiang T; Dong Y; Luo Y; Yu T; Jiang X J Cancer Res Clin Oncol; 2022 Jan; 148(1):97-106. PubMed ID: 34623517 [TBL] [Abstract][Full Text] [Related]
18. Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm. Lin F; Wang Z; Zhang K; Yang P; Ma H; Shi Y; Liu M; Wang Q; Cui J; Mao N; Xie H Front Oncol; 2020; 10():573630. PubMed ID: 33194677 [TBL] [Abstract][Full Text] [Related]
19. A contrast-enhanced MRI-based nomogram to identify lung metastasis in soft-tissue sarcoma: A multi-centre study. Hu Y; Wang H; Yue Z; Wang X; Wang Y; Luo Y; Jiang W Med Phys; 2023 May; 50(5):2961-2970. PubMed ID: 36433749 [TBL] [Abstract][Full Text] [Related]
20. Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer. Zhang K; Lin J; Lin F; Wang Z; Zhang H; Zhang S; Mao N; Qiao G J Xray Sci Technol; 2023; 31(4):669-683. PubMed ID: 37066960 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]