206 related articles for article (PubMed ID: 36798816)
1. A CT-based radiomics approach to predict immediate response of radiofrequency ablation in colorectal cancer lung metastases.
Huang H; Zheng D; Chen H; Chen C; Wang Y; Xu L; Wang Y; He X; Yang Y; Li W
Front Oncol; 2023; 13():1107026. PubMed ID: 36798816
[TBL] [Abstract][Full Text] [Related]
2. Radiomics complements clinical, radiological, and technical features to assess local control of colorectal cancer lung metastases treated with radiofrequency ablation.
Markich R; Palussière J; Catena V; Cazayus M; Fonck M; Bechade D; Buy X; Crombé A
Eur Radiol; 2021 Nov; 31(11):8302-8314. PubMed ID: 33954806
[TBL] [Abstract][Full Text] [Related]
3. Habitat-based radiomics analysis for evaluating immediate response in colorectal cancer lung metastases treated by radiofrequency ablation.
Huang H; Chen H; Zheng D; Chen C; Wang Y; Xu L; Wang Y; He X; Yang Y; Li W
Cancer Imaging; 2024 Mar; 24(1):44. PubMed ID: 38532520
[TBL] [Abstract][Full Text] [Related]
4. A CT-Based Radiomics Nomogram to Predict Complete Ablation of Pulmonary Malignancy: A Multicenter Study.
Zhang G; Yang H; Zhu X; Luo J; Zheng J; Xu Y; Zheng Y; Wei Y; Mei Z; Shao G
Front Oncol; 2022; 12():841678. PubMed ID: 35223526
[TBL] [Abstract][Full Text] [Related]
5. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
6. The value of
Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z
Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Assessment and Prognostic Value of Immediate Changes in Post-Ablation Intratumor Density Heterogeneity of Pulmonary Tumors
Liu B; Li C; Sun X; Zhou W; Sun J; Liu H; Li S; Jia H; Xing L; Dong X
Front Oncol; 2021; 11():615174. PubMed ID: 34804908
[TBL] [Abstract][Full Text] [Related]
9. Differentiation of Lung Metastases Originated From Different Primary Tumors Using Radiomics Features Based on CT Imaging.
Shang H; Li J; Jiao T; Fang C; Li K; Yin D; Zeng Q
Acad Radiol; 2023 Jan; 30(1):40-46. PubMed ID: 35577699
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Can PD-L1 expression be predicted by contrast-enhanced CT in patients with gastric adenocarcinoma? a preliminary retrospective study.
Gu X; Yu X; Shi G; Li Y; Yang L
Abdom Radiol (NY); 2023 Jan; 48(1):220-228. PubMed ID: 36271155
[TBL] [Abstract][Full Text] [Related]
12. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer.
Wu J; Zhang Q; Zhao Y; Liu Y; Chen A; Li X; Wu T; Li J; Guo Y; Liu A
Front Oncol; 2019; 9():1250. PubMed ID: 31824843
[No Abstract] [Full Text] [Related]
14. Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patients.
Klaassen R; Larue RTHM; Mearadji B; van der Woude SO; Stoker J; Lambin P; van Laarhoven HWM
PLoS One; 2018; 13(11):e0207362. PubMed ID: 30440002
[TBL] [Abstract][Full Text] [Related]
15. Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma.
Liu Y; Yin P; Cui J; Sun C; Chen L; Hong N; Li Z
BMC Med Imaging; 2023 Oct; 23(1):147. PubMed ID: 37784073
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules.
Kong D; Zhang J; Shan W; Duan S; Guo L
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):978-985. PubMed ID: 35759774
[TBL] [Abstract][Full Text] [Related]
17. PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs.
Yang L; Xu P; Li M; Wang M; Peng M; Zhang Y; Wu T; Chu W; Wang K; Meng H; Zhang L
Front Oncol; 2022; 12():894323. PubMed ID: 35800046
[TBL] [Abstract][Full Text] [Related]
18. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases.
Taghavi M; Staal F; Gomez Munoz F; Imani F; Meek DB; Simões R; Klompenhouwer LG; van der Heide UA; Beets-Tan RGH; Maas M
Cardiovasc Intervent Radiol; 2021 Jun; 44(6):913-920. PubMed ID: 33506278
[TBL] [Abstract][Full Text] [Related]
19. Prediction of Chemotherapy Efficacy in Patients with Colorectal Cancer Ovarian Metastases: A Preliminary Study Using Contrast-Enhanced Computed-Tomography-Based Radiomics.
Yu J; Li X; Zeng H; Yin H; Wang Y; Wang B; Qiu M; Wu B
Diagnostics (Basel); 2023 Dec; 14(1):. PubMed ID: 38201315
[TBL] [Abstract][Full Text] [Related]
20. Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone.
Staal FCR; Taghavi M; van der Reijd DJ; Gomez FM; Imani F; Klompenhouwer EG; Meek D; Roberti S; de Boer M; Lambregts DMJ; Beets-Tan RGH; Maas M
Eur J Radiol; 2021 Aug; 141():109773. PubMed ID: 34022475
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
