173 related articles for article (PubMed ID: 33765929)
1. Distinguishing cardiac myxomas from cardiac thrombi by a radiomics signature based on cardiovascular contrast-enhanced computed tomography images.
Qian WL; Jiang Y; Liu X; Guo YK; Li Y; Tang X; Yang ZG
BMC Cardiovasc Disord; 2021 Mar; 21(1):152. PubMed ID: 33765929
[TBL] [Abstract][Full Text] [Related]
2. Radiomics model of contrast-enhanced computed tomography for predicting the recurrence of acute pancreatitis.
Chen Y; Chen TW; Wu CQ; Lin Q; Hu R; Xie CL; Zuo HD; Wu JL; Mu QW; Fu QS; Yang GQ; Zhang XM
Eur Radiol; 2019 Aug; 29(8):4408-4417. PubMed ID: 30413966
[TBL] [Abstract][Full Text] [Related]
3. Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas.
Wang X; Sun W; Liang H; Mao X; Lu Z
Biomed Res Int; 2019; 2019():3616852. PubMed ID: 31275968
[TBL] [Abstract][Full Text] [Related]
4. [Diagnosis of left atrial masses by computed tomography: with special reference to the differentiation between mural thrombi and myxomas].
Hongo M; Okubo S; Amemiya H; Yamada H; Matsuoka K; Kusama S; Morimoto M
J Cardiogr; 1983 Dec; 13(4):935-47. PubMed ID: 6678958
[TBL] [Abstract][Full Text] [Related]
5. CT-based radiomics for differentiating peripherally located pulmonary sclerosing pneumocytoma from carcinoid.
Zhang Y; Yang X; Bi F; Wen L; Niu Y; Yang Y; Lin H; Yu X
Med Phys; 2024 Jun; 51(6):4219-4230. PubMed ID: 38507783
[TBL] [Abstract][Full Text] [Related]
6. Atrial myxomas and thrombi: comparison of imaging features on CT.
Scheffel H; Baumueller S; Stolzmann P; Leschka S; Plass A; Alkadhi H; Schertler T
AJR Am J Roentgenol; 2009 Mar; 192(3):639-45. PubMed ID: 19234259
[TBL] [Abstract][Full Text] [Related]
7. CT-based radiomics signature for differentiation between cardiac tumors and a thrombi: a retrospective, multicenter study.
Lee JW; Park CH; Im DJ; Lee KH; Kim TH; Han K; Hur J
Sci Rep; 2022 May; 12(1):8173. PubMed ID: 35581366
[TBL] [Abstract][Full Text] [Related]
8. Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma.
Ning P; Gao F; Hai J; Wu M; Chen J; Zhu S; Wang M; Shi D
Abdom Radiol (NY); 2020 Jan; 45(1):64-72. PubMed ID: 31486869
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography.
Chen X; Feng B; Li C; Duan X; Chen Y; Li Z; Liu Z; Zhang C; Long W
Oncol Rep; 2020 Apr; 43(4):1256-1266. PubMed ID: 32323834
[TBL] [Abstract][Full Text] [Related]
11. Dual-energy cardiac computed tomography for differentiating cardiac myxoma from thrombus.
Hong YJ; Hur J; Kim YJ; Lee HJ; Hong SR; Suh YJ; Kim HY; Lee JW; Choi BW
Int J Cardiovasc Imaging; 2014 Dec; 30 Suppl 2():121-8. PubMed ID: 25011535
[TBL] [Abstract][Full Text] [Related]
12. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
[TBL] [Abstract][Full Text] [Related]
13. Magnetic resonance imaging based radiomics signature for the preoperative discrimination of stage I-II and III-IV head and neck squamous cell carcinoma.
Ren J; Tian J; Yuan Y; Dong D; Li X; Shi Y; Tao X
Eur J Radiol; 2018 Sep; 106():1-6. PubMed ID: 30150029
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Radiomics study for differentiating gastric cancer from gastric stromal tumor based on contrast-enhanced CT images.
Sun ZQ; Hu SD; Li J; Wang T; Duan SF; Wang J
J Xray Sci Technol; 2019; 27(6):1021-1031. PubMed ID: 31640109
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A radiomics-based model for prediction of lymph node metastasis in gastric cancer.
Gao X; Ma T; Cui J; Zhang Y; Wang L; Li H; Ye Z
Eur J Radiol; 2020 Aug; 129():109069. PubMed ID: 32464581
[TBL] [Abstract][Full Text] [Related]
19. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
20. Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma: A SQUIRE-compliant study.
Yang X; Yuan C; Zhang Y; Wang Z
Medicine (Baltimore); 2021 May; 100(19):e25838. PubMed ID: 34106622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]