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.
305 related articles for article (PubMed ID: 34441425)
1. 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]
2. 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]
3. 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]
4. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model]. Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356 [No Abstract] [Full Text] [Related]
5. 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]
6. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer. Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767 [TBL] [Abstract][Full Text] [Related]
7. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer. Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241 [TBL] [Abstract][Full Text] [Related]
8. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer. Li H; Chen XL; Liu H; Lu T; Li ZL Front Oncol; 2022; 12():1087882. PubMed ID: 36686763 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes. Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. A Novel Combined Nomogram Model for Predicting the Pathological Complete Response to Neoadjuvant Chemotherapy in Invasive Breast Carcinoma of No Specific Type: Real-World Study. Zhu X; Shen J; Zhang H; Wang X; Zhang H; Yu J; Zhang Q; Song D; Guo L; Zhang D; Zhu R; Wu J Front Oncol; 2022; 12():916526. PubMed ID: 35734603 [TBL] [Abstract][Full Text] [Related]
13. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors. Xu X; Wang H; Du P; Zhang F; Li S; Zhang Z; Yuan J; Liang Z; Zhang X; Guo Y; Liu Y; Lu H J Magn Reson Imaging; 2019 Dec; 50(6):1893-1904. PubMed ID: 30980695 [TBL] [Abstract][Full Text] [Related]
14. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer. Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507 [TBL] [Abstract][Full Text] [Related]
15. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma. Jiang M; Li C; Tang S; Lv W; Yi A; Wang B; Yu S; Cui X; Dietrich CF Thyroid; 2020 Jun; 30(6):885-897. PubMed ID: 32027225 [No Abstract] [Full Text] [Related]
16. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma. Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer. Cai C; Hu T; Gong J; Huang D; Liu F; Fu C; Tong T Eur Radiol; 2021 May; 31(5):3326-3335. PubMed ID: 33180166 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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] [Next] [New Search]