544 related articles for article (PubMed ID: 30930700)
21. Renal Masses Detected on FDG PET/CT in Patients With Lymphoma: Imaging Features Differentiating Primary Renal Cell Carcinomas From Renal Lymphomatous Involvement.
Nicolau C; Sala E; Kumar A; Goldman DA; Schoder H; Hricak H; Vargas HA
AJR Am J Roentgenol; 2017 Apr; 208(4):849-853. PubMed ID: 28095016
[TBL] [Abstract][Full Text] [Related]
22. Robustness of Radiomic Features in [
Lu L; Lv W; Jiang J; Ma J; Feng Q; Rahmim A; Chen W
Mol Imaging Biol; 2016 Dec; 18(6):935-945. PubMed ID: 27324369
[TBL] [Abstract][Full Text] [Related]
23. Pretherapy 18F-fluorodeoxyglucose positron emission tomography/computed tomography robust radiomic features predict overall survival in non-small cell lung cancer.
Mostafa R; Abdelsamie Kandeel A; Abd Elkareem M; Nardo L; Abdelhafez YG
Nucl Med Commun; 2022 May; 43(5):540-548. PubMed ID: 35190518
[TBL] [Abstract][Full Text] [Related]
24. Metabolic Tumor Burden Assessed by Dual Time Point [
Garcia-Vicente AM; Pérez-Beteta J; Pérez-García VM; Molina D; Jiménez-Londoño GA; Soriano-Castrejón A; Martínez-González A
Mol Imaging Biol; 2017 Aug; 19(4):636-644. PubMed ID: 27981471
[TBL] [Abstract][Full Text] [Related]
25. Texture analysis of 18F-FDG PET/CT and CECT: Prediction of refractoriness of Hodgkin lymphoma with mediastinal bulk involvement.
Abenavoli EM; Linguanti F; Anichini M; Miele V; Mungai F; Palazzo M; Nassi L; Puccini B; Romano I; Sordi B; Sciagrà R; Simontacchi G; Vannucchi AM; Berti V
Hematol Oncol; 2024 Mar; 42(2):e3261. PubMed ID: 38454623
[TBL] [Abstract][Full Text] [Related]
26. Assessment of intratumor heterogeneity in mesenchymal uterine tumor by an
Tsujikawa T; Yamamoto M; Shono K; Yamada S; Tsuyoshi H; Kiyono Y; Kimura H; Okazawa H; Yoshida Y
Ann Nucl Med; 2017 Dec; 31(10):752-757. PubMed ID: 28905201
[TBL] [Abstract][Full Text] [Related]
27. Role of Textural Analysis of Pretreatment
Mishra A; Ravina M; Kote R; Kumar A; Kashyap Y; Dasgupta S; Reddy M
Indian J Nucl Med; 2023; 38(3):255-263. PubMed ID: 38046976
[TBL] [Abstract][Full Text] [Related]
28. Utility of FDG PET/CT in the Characterization of Sinonasal Neoplasms: Analysis of Standardized Uptake Value Parameters.
Ozturk K; Gencturk M; Caicedo-Granados E; Li F; Cayci Z
AJR Am J Roentgenol; 2018 Dec; 211(6):1354-1360. PubMed ID: 30300005
[TBL] [Abstract][Full Text] [Related]
29. Volumetric and radiomics assessment of lesions with incidental [18F]FDG uptake in the colon: a retrospective radiomics study.
Agüloğlu N; Acar Akkaya E; Binicier ÖB
Q J Nucl Med Mol Imaging; 2023 Jun; 67(2):145-151. PubMed ID: 34664824
[TBL] [Abstract][Full Text] [Related]
30.
Nakajo M; Jinguji M; Shinaji T; Tani A; Nakabeppu Y; Nakajo M; Nakajo A; Natsugoe S; Yoshiura T
Br J Radiol; 2019 Feb; 92(1094):20180620. PubMed ID: 30273012
[TBL] [Abstract][Full Text] [Related]
31. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
[TBL] [Abstract][Full Text] [Related]
32. Textural features of pretreatment 18F-FDG PET/CT images: prognostic significance in patients with advanced T-stage oropharyngeal squamous cell carcinoma.
Cheng NM; Fang YH; Chang JT; Huang CG; Tsan DL; Ng SH; Wang HM; Lin CY; Liao CT; Yen TC
J Nucl Med; 2013 Oct; 54(10):1703-9. PubMed ID: 24042030
[TBL] [Abstract][Full Text] [Related]
33. Prognostic significance of standardized uptake value on F18-FDG PET/CT in patients with extranodal nasal type NK/T cell lymphoma: A multicenter, retrospective analysis.
Pak K; Kim BS; Kim K; Kim IJ; Jun S; Jeong YJ; Shim HK; Kim SD; Cho KS
Am J Otolaryngol; 2018; 39(1):1-5. PubMed ID: 29056243
[TBL] [Abstract][Full Text] [Related]
34. Predicting neo-adjuvant chemotherapy response and progression-free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F-18 FDG PET/CT and diffusion-weighted MR imaging.
Yoon HJ; Kim Y; Chung J; Kim BS
Breast J; 2019 May; 25(3):373-380. PubMed ID: 29602210
[TBL] [Abstract][Full Text] [Related]
35. Can Radiomics Analyses in
Araz M; Soydal Ç; Gündüz P; Kırmızı A; Bakırarar B; Dizbay Sak S; Özkan E
Mol Imaging Radionucl Ther; 2022 Feb; 31(1):49-56. PubMed ID: 35114752
[TBL] [Abstract][Full Text] [Related]
36. Differentiation between non-small cell lung cancer and radiation pneumonitis after carbon-ion radiotherapy by
Suga M; Nishii R; Miwa K; Kamitaka Y; Yamazaki K; Tamura K; Yamamoto N; Kohno R; Kobayashi M; Tanimoto K; Tsuji H; Higashi T
Sci Rep; 2021 Jun; 11(1):11509. PubMed ID: 34075072
[TBL] [Abstract][Full Text] [Related]
37. Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [
de Jesus FM; Yin Y; Mantzorou-Kyriaki E; Kahle XU; de Haas RJ; Yakar D; Glaudemans AWJM; Noordzij W; Kwee TC; Nijland M
Eur J Nucl Med Mol Imaging; 2022 Apr; 49(5):1535-1543. PubMed ID: 34850248
[TBL] [Abstract][Full Text] [Related]
38. Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer.
Soussan M; Orlhac F; Boubaya M; Zelek L; Ziol M; Eder V; Buvat I
PLoS One; 2014; 9(4):e94017. PubMed ID: 24722644
[TBL] [Abstract][Full Text] [Related]
39. Prognostic value of intratumoral heterogeneity of preoperative
Kim BS; Kim SJ
Hell J Nucl Med; 2021; 24(3):172-177. PubMed ID: 34901957
[TBL] [Abstract][Full Text] [Related]
40. Correlation Between
Yu P; Lei J; Xu B; Wang R; Shen Z; Tian J
Acad Radiol; 2020 May; 27(5):682-688. PubMed ID: 31311773
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]