162 related articles for article (PubMed ID: 29503175)
1. CT-based Radiomics Signature to Discriminate High-grade From Low-grade Colorectal Adenocarcinoma.
Huang X; Cheng Z; Huang Y; Liang C; He L; Ma Z; Chen X; Wu X; Li Y; Liang C; Liu Z
Acad Radiol; 2018 Oct; 25(10):1285-1297. PubMed ID: 29503175
[TBL] [Abstract][Full Text] [Related]
2. [Preoperative evaluation of histologic grade in invasive breast cancer with T2W-MRI based radiomics signature].
Huang Y; Cheng Z; Huang X; Liang C; Liang C; Liu Z
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Mar; 44(3):285-289. PubMed ID: 30971521
[TBL] [Abstract][Full Text] [Related]
3. The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer.
Liang C; Huang Y; He L; Chen X; Ma Z; Dong D; Tian J; Liang C; Liu Z
Oncotarget; 2016 May; 7(21):31401-12. PubMed ID: 27120787
[TBL] [Abstract][Full Text] [Related]
4. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
[TBL] [Abstract][Full Text] [Related]
5. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Radiomics analysis of multicenter CT images for discriminating mucinous adenocarcinoma from nomucinous adenocarcinoma in rectal cancer and comparison with conventional CT values.
Ge YX; Li J; Zhang JQ; Duan SF; Liu YK; Hu SD
J Xray Sci Technol; 2020; 28(2):285-297. PubMed ID: 32116286
[TBL] [Abstract][Full Text] [Related]
8. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
[TBL] [Abstract][Full Text] [Related]
10. Development and validation of a CT-based radiomics nomogram for preoperative prediction of tumor histologic grade in gastric adenocarcinoma.
Huang J; Yao H; Li Y; Dong M; Han C; He L; Huang X; Xia T; Yi Z; Wang H; Zhang Y; He J; Liang C; Liu Z
Chin J Cancer Res; 2021 Feb; 33(1):69-78. PubMed ID: 33707930
[TBL] [Abstract][Full Text] [Related]
11. Development and multicenter validation of a CT-based radiomics signature for discriminating histological grades of pancreatic ductal adenocarcinoma.
Chang N; Cui L; Luo Y; Chang Z; Yu B; Liu Z
Quant Imaging Med Surg; 2020 Mar; 10(3):692-702. PubMed ID: 32269929
[TBL] [Abstract][Full Text] [Related]
12. Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.
Yang X; Dong X; Wang J; Li W; Gu Z; Gao D; Zhong N; Guan Y
Oncologist; 2019 Nov; 24(11):e1156-e1164. PubMed ID: 30936378
[TBL] [Abstract][Full Text] [Related]
13. Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.
Han Y; Xie Z; Zang Y; Zhang S; Gu D; Zhou M; Gevaert O; Wei J; Li C; Chen H; Du J; Liu Z; Dong D; Tian J; Zhou D
J Neurooncol; 2018 Nov; 140(2):297-306. PubMed ID: 30097822
[TBL] [Abstract][Full Text] [Related]
14. Predictive Significance of Tumor Grade Using 256-Slice CT Whole-Tumor Perfusion Imaging in Colorectal Adenocarcinoma.
Xu Y; Sun H; Song A; Yang Q; Lu X; Wang W
Acad Radiol; 2015 Dec; 22(12):1529-35. PubMed ID: 26421473
[TBL] [Abstract][Full Text] [Related]
15. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma.
Zhou Y; He L; Huang Y; Chen S; Wu P; Ye W; Liu Z; Liang C
Abdom Radiol (NY); 2017 Jun; 42(6):1695-1704. PubMed ID: 28180924
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
[TBL] [Abstract][Full Text] [Related]
18. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
Wu M; Tan H; Gao F; Hai J; Ning P; Chen J; Zhu S; Wang M; Dou S; Shi D
Eur Radiol; 2019 Jun; 29(6):2802-2811. PubMed ID: 30406313
[TBL] [Abstract][Full Text] [Related]
19. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
[TBL] [Abstract][Full Text] [Related]
20. Establishment of a Predictive Model for Surgical Resection of Ground-Glass Nodules.
Liu CL; Zhang F; Cai Q; Shen YY; Chen SQ
J Am Coll Radiol; 2019 Apr; 16(4 Pt A):435-445. PubMed ID: 30466899
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]