1379 related articles for article (PubMed ID: 33750453)
21. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
22. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma.
Huang ZS; Xiao X; Li XD; Mo HZ; He WL; Deng YH; Lu LJ; Wu YK; Liu H
J Magn Reson Imaging; 2021 Nov; 54(5):1541-1550. PubMed ID: 34085336
[TBL] [Abstract][Full Text] [Related]
23. Quantitative radiomic biomarkers for discrimination between neuromyelitis optica spectrum disorder and multiple sclerosis.
Ma X; Zhang L; Huang D; Lyu J; Fang M; Hu J; Zang Y; Zhang D; Shao H; Ma L; Tian J; Dong D; Lou X
J Magn Reson Imaging; 2019 Apr; 49(4):1113-1121. PubMed ID: 30408268
[TBL] [Abstract][Full Text] [Related]
24. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study.
Li Q; Song Z; Li X; Zhang D; Yu J; Li Z; Huang J; Su K; Liu Q; Zhang X; Tang Z
Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382
[TBL] [Abstract][Full Text] [Related]
25. A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors.
Liang W; Yang P; Huang R; Xu L; Wang J; Liu W; Zhang L; Wan D; Huang Q; Lu Y; Kuang Y; Niu T
Clin Cancer Res; 2019 Jan; 25(2):584-594. PubMed ID: 30397175
[TBL] [Abstract][Full Text] [Related]
26. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
[TBL] [Abstract][Full Text] [Related]
27. An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.
Zhang H; Wang H; Hao D; Ge Y; Wan G; Zhang J; Liu S; Zhang Y; Xu D
J Magn Reson Imaging; 2021 Jan; 53(1):141-151. PubMed ID: 32776393
[TBL] [Abstract][Full Text] [Related]
28. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
29. Nomogram to predict malignancy in branch duct type intraductal papillary mucinous neoplasms.
Xu Y; Xie C; Gao Z; Zhang M; Zhan M
Medicine (Baltimore); 2022 Sep; 101(38):e30627. PubMed ID: 36197166
[TBL] [Abstract][Full Text] [Related]
30. Development of a Novel, Multi-Parametric, MRI-Based Radiomic Nomogram for Differentiating Between Clinically Significant and Insignificant Prostate Cancer.
Zhang Y; Chen W; Yue X; Shen J; Gao C; Pang P; Cui F; Xu M
Front Oncol; 2020; 10():888. PubMed ID: 32695660
[No Abstract] [Full Text] [Related]
31. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
[TBL] [Abstract][Full Text] [Related]
32. Prediction of malignant intraductal papillary mucinous neoplasm: A nomogram based on clinical information and radiological outcomes.
Huang X; Guo T; Zhang Z; Cai M; Guo X; Zhang J; Yu Y
Cancer Med; 2023 Aug; 12(16):16958-16971. PubMed ID: 37434479
[TBL] [Abstract][Full Text] [Related]
33. Nomogram for the Prediction of High-Grade Dysplasia and Invasive Carcinoma in Patients With Intraductal Papillary Mucinous Neoplasms of the Pancreas Based on Variables of Noninvasive Examination.
Li B; Shi X; Gao S; Shen S; Bian Y; Cao K; Pan Y; Zhang G; Jiang H; Li G; Guo S; Jin G
Front Oncol; 2021; 11():609187. PubMed ID: 33767983
[TBL] [Abstract][Full Text] [Related]
34. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
35. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
36. Magnetic Resonance Imaging Radiomics-Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter Study.
Shi Z; Ma C; Huang X; Cao D
J Magn Reson Imaging; 2022 Mar; 55(3):823-839. PubMed ID: 34997795
[TBL] [Abstract][Full Text] [Related]
37. Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis.
Attiyeh MA; Chakraborty J; Gazit L; Langdon-Embry L; Gonen M; Balachandran VP; D'Angelica MI; DeMatteo RP; Jarnagin WR; Kingham TP; Allen PJ; Do RK; Simpson AL
HPB (Oxford); 2019 Feb; 21(2):212-218. PubMed ID: 30097414
[TBL] [Abstract][Full Text] [Related]
38. Computed tomography nomogram to predict a high-risk intraductal papillary mucinous neoplasm of the pancreas.
Fang X; Liu F; Li J; Cao K; Wang T; Zhang H; Li Q; Meng Y; Yu J; Feng X; Jiang H; Wang L; Lu J; Shao C; Bian Y
Abdom Radiol (NY); 2021 Nov; 46(11):5218-5228. PubMed ID: 34409514
[TBL] [Abstract][Full Text] [Related]
39. Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI-Based Radiomics.
Hong M; Fan S; Yu Z; Gao C; Fang Z; Du L; Wang S; Chen X; Xu M; Zhou C
J Magn Reson Imaging; 2023 Aug; 58(2):454-463. PubMed ID: 36440711
[TBL] [Abstract][Full Text] [Related]
40. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
