71 related articles for article (PubMed ID: 32974201)
21. GEP-NET radiomics: a systematic review and radiomics quality score assessment.
Staal FCR; Aalbersberg EA; van der Velden D; Wilthagen EA; Tesselaar MET; Beets-Tan RGH; Maas M
Eur Radiol; 2022 Oct; 32(10):7278-7294. PubMed ID: 35882634
[TBL] [Abstract][Full Text] [Related]
22. Solid Pseudopapillary Neoplasm of the Pancreas: Unfolding an Intriguing Condition.
Cruz MAA; Moutinho-Ribeiro P; Costa-Moreira P; Macedo G
GE Port J Gastroenterol; 2022 May; 29(3):151-162. PubMed ID: 35702168
[TBL] [Abstract][Full Text] [Related]
23. The impact of radiomics in diagnosis and staging of pancreatic cancer.
Casà C; Piras A; D'Aviero A; Preziosi F; Mariani S; Cusumano D; Romano A; Boskoski I; Lenkowicz J; Dinapoli N; Cellini F; Gambacorta MA; Valentini V; Mattiucci GC; Boldrini L
Ther Adv Gastrointest Endosc; 2022; 15():26317745221081596. PubMed ID: 35342883
[TBL] [Abstract][Full Text] [Related]
24. Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods.
Han X; Yang J; Luo J; Chen P; Zhang Z; Alu A; Xiao Y; Ma X
Front Oncol; 2021; 11():606677. PubMed ID: 34367940
[TBL] [Abstract][Full Text] [Related]
25. Target Heterogeneity in Oncology: The Best Predictor for Differential Response to Radioligand Therapy in Neuroendocrine Tumors and Prostate Cancer.
Puranik AD; Dromain C; Fleshner N; Sathekge M; Pavel M; Eberhardt N; Zengerling F; Marienfeld R; Grunert M; Prasad V
Cancers (Basel); 2021 Jul; 13(14):. PubMed ID: 34298822
[TBL] [Abstract][Full Text] [Related]
26. Radiological Imaging of Gastro-Entero-Pancreatic Neuroendocrine Tumors. The Review of Current Literature Emphasizing the Diagnostic Value of Chosen Imaging Methods.
Półtorak-Szymczak G; Budlewski T; Furmanek MI; Wierzba W; Sklinda K; Walecki J; Mruk B
Front Oncol; 2021; 11():670233. PubMed ID: 34211845
[TBL] [Abstract][Full Text] [Related]
27. Computed tomography-based radiomics approach in pancreatic tumors characterization.
Karmazanovsky G; Gruzdev I; Tikhonova V; Kondratyev E; Revishvili A
Radiol Med; 2021 Aug; ():. PubMed ID: 34386897
[TBL] [Abstract][Full Text] [Related]
28. Radiomics Analysis Based on Diffusion Kurtosis Imaging and T2 Weighted Imaging for Differentiation of Pancreatic Neuroendocrine Tumors From Solid Pseudopapillary Tumors.
Shi YJ; Zhu HT; Liu YL; Wei YY; Qin XB; Zhang XY; Li XT; Sun YS
Front Oncol; 2020; 10():1624. PubMed ID: 32974201
[TBL] [Abstract][Full Text] [Related]
29. Radiomics analysis from magnetic resonance imaging in predicting the grade of nonfunctioning pancreatic neuroendocrine tumors: a multicenter study.
Zhu HB; Zhu HT; Jiang L; Nie P; Hu J; Tang W; Zhang XY; Li XT; Yao Q; Sun YS
Eur Radiol; 2024 Jan; 34(1):90-102. PubMed ID: 37552258
[TBL] [Abstract][Full Text] [Related]
30. Non-gaussian models of 3-Tesla diffusion-weighted MRI for the differentiation of pancreatic ductal adenocarcinomas from neuroendocrine tumors and solid pseudopapillary neoplasms.
Shi YJ; Li XT; Zhang XY; Zhu HT; Liu YL; Wei YY; Sun YS
Magn Reson Imaging; 2021 Nov; 83():68-76. PubMed ID: 34314825
[TBL] [Abstract][Full Text] [Related]
31. MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas.
Song T; Zhang QW; Duan SF; Bian Y; Hao Q; Xing PY; Wang TG; Chen LG; Ma C; Lu JP
BMC Med Imaging; 2021 Feb; 21(1):36. PubMed ID: 33622277
[TBL] [Abstract][Full Text] [Related]
32. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
33. T2-Weighted Image-Based Radiomics Signature for Discriminating Between Seminomas and Nonseminoma.
Zhang P; Feng Z; Cai W; You H; Fan C; Lv W; Min X; Wang L
Front Oncol; 2019; 9():1330. PubMed ID: 31850216
[No Abstract] [Full Text] [Related]
34. Optimal b-values for diffusion kurtosis imaging of the liver and pancreas in MR examinations.
Pasicz K; Podgórska J; Jasieniak J; Fabiszewska E; Skrzyński W; Anysz-Grodzicka A; Cieszanowski A; Kukołowicz P; Grabska I
Phys Med; 2019 Oct; 66():119-123. PubMed ID: 31600671
[TBL] [Abstract][Full Text] [Related]
35.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
36.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
37.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
38.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
39.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
40.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
