2855 related articles for article (PubMed ID: 32125097)
41. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
Sun F; Chen Y; Chen X; Sun X; Xing L
Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
[TBL] [Abstract][Full Text] [Related]
42. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
[TBL] [Abstract][Full Text] [Related]
43. A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.
Wu S; Zheng J; Li Y; Yu H; Shi S; Xie W; Liu H; Su Y; Huang J; Lin T
Clin Cancer Res; 2017 Nov; 23(22):6904-6911. PubMed ID: 28874414
[No Abstract] [Full Text] [Related]
44. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
[TBL] [Abstract][Full Text] [Related]
45. A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma.
Cai W; He B; Hu M; Zhang W; Xiao D; Yu H; Song Q; Xiang N; Yang J; He S; Huang Y; Huang W; Jia F; Fang C
Surg Oncol; 2019 Mar; 28():78-85. PubMed ID: 30851917
[TBL] [Abstract][Full Text] [Related]
46. Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer.
Yu FH; Wang JX; Ye XH; Deng J; Hang J; Yang B
Eur J Radiol; 2019 Oct; 119():108658. PubMed ID: 31521878
[TBL] [Abstract][Full Text] [Related]
47. A radiomics model for determining the invasiveness of solitary pulmonary nodules that manifest as part-solid nodules.
Weng Q; Zhou L; Wang H; Hui J; Chen M; Pang P; Zheng L; Xu M; Wang Z; Ji J
Clin Radiol; 2019 Dec; 74(12):933-943. PubMed ID: 31521324
[TBL] [Abstract][Full Text] [Related]
48. Preoperative prediction of the degree of differentiation of lung adenocarcinoma presenting as sub-solid or solid nodules with a radiomics nomogram.
Yang Y; Tan M; Ma W; Duan S; Huang X; Jin L; Tang L; Li M
Clin Radiol; 2022 Sep; 77(9):e680-e688. PubMed ID: 35718542
[TBL] [Abstract][Full Text] [Related]
49. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
[TBL] [Abstract][Full Text] [Related]
50. Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer.
Deng L; Tang HZ; Luo YW; Feng F; Wu JY; Li Q; Qiang JW
Acad Radiol; 2024 Jan; 31(1):46-57. PubMed ID: 37331866
[TBL] [Abstract][Full Text] [Related]
51. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
[TBL] [Abstract][Full Text] [Related]
52. Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.
Venkadesh KV; Setio AAA; Schreuder A; Scholten ET; Chung K; W Wille MM; Saghir Z; van Ginneken B; Prokop M; Jacobs C
Radiology; 2021 Aug; 300(2):438-447. PubMed ID: 34003056
[TBL] [Abstract][Full Text] [Related]
53. Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study.
She Y; Zhao L; Dai C; Ren Y; Zha J; Xie H; Jiang S; Shi J; Shi S; Shi W; Yu B; Jiang G; Fei K; Chen Y; Chen C
Oncotarget; 2017 Mar; 8(10):17229-17238. PubMed ID: 27542241
[TBL] [Abstract][Full Text] [Related]
54. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
Niu XK; He XF
World J Gastroenterol; 2021 Jan; 27(2):189-207. PubMed ID: 33510559
[TBL] [Abstract][Full Text] [Related]
55. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
56. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
57. Nomogram for Predicting the Risk of Invasive Pulmonary Adenocarcinoma for Pure Ground-Glass Nodules.
Wang L; Shen W; Xi Y; Liu S; Zheng D; Jin C
Ann Thorac Surg; 2018 Apr; 105(4):1058-1064. PubMed ID: 29452996
[TBL] [Abstract][Full Text] [Related]
58. Development and Validation of a Radiomics Nomogram for Prognosis Prediction of Patients with Acute Paraquat Poisoning: A Retrospective Cohort Study.
Lu S; Gao D; Wang Y; Feng X; Zhang Y; Li L; Geng Z
Biomed Res Int; 2021; 2021():6621894. PubMed ID: 33604379
[TBL] [Abstract][Full Text] [Related]
59. A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours.
Sun W; Liu S; Guo J; Liu S; Hao D; Hou F; Wang H; Xu W
Cancer Imaging; 2021 Feb; 21(1):20. PubMed ID: 33549151
[TBL] [Abstract][Full Text] [Related]
60. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
