126 related articles for article (PubMed ID: 36460488)
41. Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children.
Wang B; Li M; Ma H; Han F; Wang Y; Zhao S; Liu Z; Yu T; Tian J; Dong D; Peng Y
BMC Med Imaging; 2019 Aug; 19(1):63. PubMed ID: 31395012
[TBL] [Abstract][Full Text] [Related]
42. Diagnosis of Benign and Malignant Pulmonary Ground-Glass Nodules Using Computed Tomography Radiomics Parameters.
Liang L; Zhang H; Lei H; Zhou H; Wu Y; Shen J
Technol Cancer Res Treat; 2022; 21():15330338221119748. PubMed ID: 36259167
[No Abstract] [Full Text] [Related]
43. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
[TBL] [Abstract][Full Text] [Related]
44. Radiomic Analysis of Pulmonary Nodules for Distinguishing Malignancy From Benignancy: The Value of Using Iodine Maps From Dual-Energy Computed Tomography.
Zhong Y; Xu H; Zhang W; Li H; Yu TF; Yuan M
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):878-883. PubMed ID: 35830384
[TBL] [Abstract][Full Text] [Related]
45. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
Feng B; Chen X; Chen Y; Li Z; Hao Y; Zhang C; Li R; Liao Y; Zhang X; Huang Y; Long W
Clin Radiol; 2019 Jul; 74(7):570.e1-570.e11. PubMed ID: 31056198
[TBL] [Abstract][Full Text] [Related]
46. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
[TBL] [Abstract][Full Text] [Related]
47. A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.
Yu Z; Xu C; Zhang Y; Ji F
BMC Med Imaging; 2022 Jul; 22(1):133. PubMed ID: 35896975
[TBL] [Abstract][Full Text] [Related]
48. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
Front Oncol; 2022; 12():949111. PubMed ID: 36505773
[TBL] [Abstract][Full Text] [Related]
49. The value of radiomics based on dual-energy CT for differentiating benign from malignant solitary pulmonary nodules.
Liang G; Yu W; Liu SQ; Xie MG; Liu M
BMC Med Imaging; 2022 May; 22(1):95. PubMed ID: 35597900
[TBL] [Abstract][Full Text] [Related]
50. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
[TBL] [Abstract][Full Text] [Related]
51. Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.
Xue T; Peng H; Chen Q; Li M; Duan S; Feng F
Br J Radiol; 2022 Jun; 95(1134):20211014. PubMed ID: 35312376
[TBL] [Abstract][Full Text] [Related]
52. Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.
Wang X; Li C; Fang M; Zhang L; Zhong L; Dong D; Tian J; Shan X
BMC Med Imaging; 2021 Mar; 21(1):58. PubMed ID: 33757460
[TBL] [Abstract][Full Text] [Related]
53. [Clinical value of a differentiation prediction model for invasive lung adenocarcinoma].
Shan WL; Kong D; Zhang H; Zhang JD; Duan SF; Guo LL
Zhonghua Zhong Liu Za Zhi; 2022 Jul; 44(7):767-775. PubMed ID: 35880343
[No Abstract] [Full Text] [Related]
54. [Automatic identification algorithm of meniscus tear based on radiomics of knee MRI].
Li Y; Lai Q; Huang J; Hu W; Wang Y; Fang K
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2022 Nov; 36(11):1395-1399. PubMed ID: 36382458
[TBL] [Abstract][Full Text] [Related]
55. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
56. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
[TBL] [Abstract][Full Text] [Related]
57. Discriminating Between Benign and Malignant Solid Ovarian Tumors Based on Clinical and Radiomic Features of MRI.
Zheng Y; Wang H; Li Q; Sun H; Guo L
Acad Radiol; 2023 May; 30(5):814-822. PubMed ID: 35810066
[TBL] [Abstract][Full Text] [Related]
58. Prediction efficacy of feature classification of solitary pulmonary nodules based on CT radiomics.
Xu QQ; Shan WL; Zhu Y; Huang CC; Bao SY; Guo LL
Eur J Radiol; 2021 Jun; 139():109667. PubMed ID: 33867180
[TBL] [Abstract][Full Text] [Related]
59. Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.
Zhu C; Ding J; Wang S; Qiu Q; Ji Y; Wang L
Thorac Cancer; 2021 Dec; 12(23):3110-3120. PubMed ID: 34647417
[TBL] [Abstract][Full Text] [Related]
60. Development and Validation of a Comprehensive Model for Predicting Distant Metastasis of Solid Lung Adenocarcinoma: 3D Radiomics, 2D Radiomics and Clinical Features.
Peng Z; Lin Z; He A; Yi L; Jin M; Chen Z; Tao Y; Yang Y; Cui C; Liu Y; Zuo M
Cancer Manag Res; 2022; 14():3437-3448. PubMed ID: 36536823
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]