59 related articles for article (PubMed ID: 38566000)
1. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
Abdom Radiol (NY); 2024 May; 49(5):1363-1375. PubMed ID: 38305796
[TBL] [Abstract][Full Text] [Related]
2. Discrimination between benign and malignant gallbladder lesions on enhanced CT imaging using radiomics.
Zhuang YY; Feng Y; Kong D; Guo LL
Acta Radiol; 2024 May; 65(5):422-431. PubMed ID: 38584372
[TBL] [Abstract][Full Text] [Related]
3. Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer.
Wang Q; Xu J; Wang A; Chen Y; Wang T; Chen D; Zhang J; Brismar TB
Radiol Med; 2023 Feb; 128(2):136-148. PubMed ID: 36648615
[TBL] [Abstract][Full Text] [Related]
4. Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model.
Bian X; Sun Q; Wang M; Dong H; Dai X; Zhang L; Fan G; Chen G
BMC Med Imaging; 2024 Apr; 24(1):77. PubMed ID: 38566000
[TBL] [Abstract][Full Text] [Related]
5. An integrative clinical and CT-based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma.
Ma Y; Xu X; Lin Y; Li J; Yuan H
Abdom Radiol (NY); 2024 Mar; 49(3):783-790. PubMed ID: 38001326
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Non-invasive prediction of microsatellite instability in colorectal cancer by a genetic algorithm-enhanced artificial neural network-based CT radiomics signature.
Chen X; He L; Li Q; Liu L; Li S; Zhang Y; Liu Z; Huang Y; Mao Y; Chen X
Eur Radiol; 2023 Jan; 33(1):11-22. PubMed ID: 35771245
[TBL] [Abstract][Full Text] [Related]
8. Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models.
Chang Y; Xing H; Shang Y; Liu Y; Yu L; Dai H
J Cancer Res Clin Oncol; 2023 Nov; 149(17):15425-15438. PubMed ID: 37642725
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Pulmonary lesions: correlative study of dynamic triple-phase enhanced CT perfusion imaging with tumor angiogenesis and vascular endothelial growth factor expression.
Zou M; Zhao Z; Zhang B; Mao H; Huang Y; Wang C
BMC Med Imaging; 2021 Oct; 21(1):158. PubMed ID: 34717573
[TBL] [Abstract][Full Text] [Related]
11. Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer.
Pei Q; Yi X; Chen C; Pang P; Fu Y; Lei G; Chen C; Tan F; Gong G; Li Q; Zai H; Chen BT
Eur Radiol; 2022 Jan; 32(1):714-724. PubMed ID: 34258636
[TBL] [Abstract][Full Text] [Related]
12.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
13.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
14.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
