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.
284 related articles for article (PubMed ID: 37869317)
1. Dynamic contrast-enhanced magnetic resonance imaging radiomics analysis based on intratumoral subregions for predicting luminal and nonluminal breast cancer. Feng S; Yin J Quant Imaging Med Surg; 2023 Oct; 13(10):6735-6749. PubMed ID: 37869317 [TBL] [Abstract][Full Text] [Related]
2. Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast Cancer. Li C; Yin J Diagnostics (Basel); 2021 Aug; 11(8):. PubMed ID: 34441425 [TBL] [Abstract][Full Text] [Related]
3. Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma. Wu J; Ge L; Jin Y; Wang Y; Hu L; Xu D; Wang Z Front Oncol; 2022; 12():993466. PubMed ID: 36530981 [TBL] [Abstract][Full Text] [Related]
4. Multiphases DCE-MRI Radiomics Nomogram for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer. Ma Q; Lu X; Chen Q; Gong H; Lei J Acad Radiol; 2024 Dec; 31(12):4743-4758. PubMed ID: 39107190 [TBL] [Abstract][Full Text] [Related]
5. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients. Li C; Yin J Front Oncol; 2021; 11():671354. PubMed ID: 34041033 [TBL] [Abstract][Full Text] [Related]
6. Feasibility analysis of magnetic resonance imaging-based radiomics features for preoperative prediction of nuclear grading of ductal carcinoma in situ. Zhao MR; Ma WJ; Song XC; Li ZJ; Shao ZZ; Lu H; Zhao R; Guo YJ; Ye ZX; Liu PF Gland Surg; 2023 Sep; 12(9):1209-1223. PubMed ID: 37842532 [TBL] [Abstract][Full Text] [Related]
7. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram. Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932 [TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions. Li T; Sun L; Li Q; Luo X; Luo M; Xie H; Wang P Front Oncol; 2021; 11():825429. PubMed ID: 35155214 [TBL] [Abstract][Full Text] [Related]
9. Value of radiomics based on CE-MRI for predicting the efficacy of neoadjuvant chemotherapy in invasive breast cancer. Li Q; Huang Y; Xiao Q; Duan S; Wang S; Li J; Niu Q; Gu Y Br J Radiol; 2022 Oct; 95(1139):20220186. PubMed ID: 36005646 [TBL] [Abstract][Full Text] [Related]
10. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma. Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526 [TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a Nomogram Based on DCE-MRI Radiomics for Predicting Hypoxia-Inducible Factor 1α Expression in Locally Advanced Rectal Cancer. Li Z; Huang H; Zhao Z; Ma W; Mao H; Liu F; Yang Y; Wang D; Lu Z Acad Radiol; 2024 Dec; 31(12):4923-4933. PubMed ID: 38816315 [TBL] [Abstract][Full Text] [Related]
12. Clinical-radiomics nomogram for identifying HER2 status in patients with breast cancer: A multicenter study. Fang C; Zhang J; Li J; Shang H; Li K; Jiao T; Yin D; Li F; Cui Y; Zeng Q Front Oncol; 2022; 12():922185. PubMed ID: 36158700 [TBL] [Abstract][Full Text] [Related]
13. Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying HER2 Status in Patients with Breast Carcinoma. Guo Y; Wu J; Wang Y; Jin Y Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553137 [TBL] [Abstract][Full Text] [Related]
14. Ultrasound-based radiomics nomogram for differentiation of triple-negative breast cancer from fibroadenoma. Du Y; Zha HL; Wang H; Liu XP; Pan JZ; Du LW; Cai MJ; Zong M; Li CY Br J Radiol; 2022 May; 95(1133):20210598. PubMed ID: 35138938 [TBL] [Abstract][Full Text] [Related]
15. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer. Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339 [TBL] [Abstract][Full Text] [Related]
16. Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging. Shi L; Wang L; Wu C; Wei Y; Zhang Y; Chen J Front Oncol; 2022; 12():927077. PubMed ID: 35875061 [TBL] [Abstract][Full Text] [Related]
17. Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer. Mao N; Dai Y; Lin F; Ma H; Duan S; Xie H; Zhao W; Hong N Front Oncol; 2020; 10():541849. PubMed ID: 33381444 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer. Yue X; He X; He S; Wu J; Fan W; Zhang H; Wang C Front Oncol; 2023; 13():1081134. PubMed ID: 36895487 [TBL] [Abstract][Full Text] [Related]
20. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma. Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G Front Oncol; 2022; 12():979358. PubMed ID: 36276108 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]