156 related articles for article (PubMed ID: 37486626)
1. The maximal contrast-enhanced range of CT for differentiating the WHO pathological subtypes and risk subgroups of thymic epithelial tumors.
Yu C; Li T; Yang X; Xin L; Zhao Z; Yang Z; Zhang R
Br J Radiol; 2023 Oct; 96(1150):20221076. PubMed ID: 37486626
[TBL] [Abstract][Full Text] [Related]
2. Dual-energy CT perfusion imaging for differentiating WHO subtypes of thymic epithelial tumors.
Yu C; Li T; Zhang R; Yang X; Yang Z; Xin L; Zhao Z
Sci Rep; 2020 Mar; 10(1):5511. PubMed ID: 32218504
[TBL] [Abstract][Full Text] [Related]
3. Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors.
Gao R; Zhou J; Zhang J; Zhu J; Wang T; Yan C
BMC Cancer; 2023 Nov; 23(1):1158. PubMed ID: 38012604
[TBL] [Abstract][Full Text] [Related]
4. Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.
Yu C; Li T; Yang X; Zhang R; Xin L; Zhao Z; Cui J
BMC Med Imaging; 2022 Mar; 22(1):37. PubMed ID: 35249531
[TBL] [Abstract][Full Text] [Related]
5. Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis?
Jeong YJ; Lee KS; Kim J; Shim YM; Han J; Kwon OJ
AJR Am J Roentgenol; 2004 Aug; 183(2):283-9. PubMed ID: 15269013
[TBL] [Abstract][Full Text] [Related]
6. Differentiating the grades of thymic epithelial tumor malignancy using textural features of intratumoral heterogeneity via (18)F-FDG PET/CT.
Lee HS; Oh JS; Park YS; Jang SJ; Choi IS; Ryu JS
Ann Nucl Med; 2016 May; 30(4):309-19. PubMed ID: 26868139
[TBL] [Abstract][Full Text] [Related]
7. The efficacy of
Nakajo M; Takeda A; Katsuki A; Jinguji M; Ohmura K; Tani A; Sato M; Yoshiura T
Br J Radiol; 2022 Jun; 95(1134):20211050. PubMed ID: 35312337
[TBL] [Abstract][Full Text] [Related]
8. Using the World Health Organization Classification of thymic epithelial neoplasms to describe CT findings.
Tomiyama N; Johkoh T; Mihara N; Honda O; Kozuka T; Koyama M; Hamada S; Okumura M; Ohta M; Eimoto T; Miyagawa M; Müller NL; Ikezoe J; Nakamura H
AJR Am J Roentgenol; 2002 Oct; 179(4):881-6. PubMed ID: 12239030
[TBL] [Abstract][Full Text] [Related]
9. Diagnostic and prognostic values of 2-[
Han S; Kim YI; Oh JS; Seo SY; Park MJ; Lee GD; Choi S; Kim HR; Kim YH; Kim DK; Park SI; Ryu JS
Eur Radiol; 2022 Feb; 32(2):1173-1183. PubMed ID: 34448035
[TBL] [Abstract][Full Text] [Related]
10. Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters.
Li B; Xin YK; Xiao G; Li GF; Duan SJ; Han Y; Feng XL; Yan WQ; Rong WC; Wang SM; Hu YC; Cui GB
Eur Radiol; 2019 Oct; 29(10):5330-5340. PubMed ID: 30877464
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X
Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352
[TBL] [Abstract][Full Text] [Related]
12. The utility of [18F]-fluorodeoxyglucose positron emission tomography-computed tomography in thymic epithelial tumours.
Fukumoto K; Taniguchi T; Ishikawa Y; Kawaguchi K; Fukui T; Kato K; Matsuo K; Yokoi K
Eur J Cardiothorac Surg; 2012 Dec; 42(6):e152-6. PubMed ID: 23024234
[TBL] [Abstract][Full Text] [Related]
13. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes.
Zhao W; Ozawa Y; Hara M; Okuda K; Hiwatashi A
Jpn J Radiol; 2024 Apr; 42(4):367-373. PubMed ID: 38010596
[TBL] [Abstract][Full Text] [Related]
14. The role of Tc-99m-2-Methoxy-Isobutyl-Isonitrile Single Photon Emission Computed Tomography in visualizing anterior mediastinal tumor and differentiating histologic type of thymoma.
Fiorelli A; Vicidomini G; Laperuta P; Rambaldi P; Mansi L; Rotondo A; Santini M
Eur J Cardiothorac Surg; 2011 Jul; 40(1):136-42. PubMed ID: 21273088
[TBL] [Abstract][Full Text] [Related]
15. 18F-FDG PET/CT of thymic epithelial tumors: usefulness for distinguishing and staging tumor subgroups.
Sung YM; Lee KS; Kim BT; Choi JY; Shim YM; Yi CA
J Nucl Med; 2006 Oct; 47(10):1628-34. PubMed ID: 17015898
[TBL] [Abstract][Full Text] [Related]
16. Histogram analysis of apparent diffusion coefficient maps for assessing thymic epithelial tumours: correlation with world health organization classification and clinical staging.
Kong LY; Zhang W; Zhou Y; Xu H; Shi HB; Feng Q; Xu XQ; Yu TF
Br J Radiol; 2018 Apr; 91(1084):20170580. PubMed ID: 29260882
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
Ren C; Li M; Zhang Y; Zhang S
Cancer Imaging; 2020 Dec; 20(1):86. PubMed ID: 33308325
[TBL] [Abstract][Full Text] [Related]
18. Doubling time of thymic epithelial tumours on CT: correlation with histological subtype.
Choe J; Lee SM; Lim S; Choi SH; Kim N; Do KH; Seo JB
Eur Radiol; 2017 Oct; 27(10):4030-4036. PubMed ID: 28332015
[TBL] [Abstract][Full Text] [Related]
19. The tumor doubling time is a useful parameter for predicting the histological type of thymic epithelial tumors.
Fukumoto K; Fukui T; Kawaguchi K; Nakamura S; Hakiri S; Ozeki N; Mori S; Goto M; Hashimoto K; Tateyama H; Yokoi K
Surg Today; 2019 Aug; 49(8):656-660. PubMed ID: 31134370
[TBL] [Abstract][Full Text] [Related]
20. Trends in Incidence and Survival of Patients With Thymic Epithelial Tumor in a High-Incidence Asian Country: Analysis of the Korean Central Cancer Registry 1999 to 2017.
Shin DW; Cho JH; Ha J; Jung KW
J Thorac Oncol; 2022 Jun; 17(6):827-837. PubMed ID: 35158083
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
