These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
144 related articles for article (PubMed ID: 34778075)
21. Differentiation of Endometriomas from Ovarian Hemorrhagic Cysts at Magnetic Resonance: The Role of Texture Analysis. Lupean RA; Ștefan PA; Csutak C; Lebovici A; Măluțan AM; Buiga R; Melincovici CS; Mihu CM Medicina (Kaunas); 2020 Sep; 56(10):. PubMed ID: 32977428 [No Abstract] [Full Text] [Related]
22. Assistance by Routine CT Features Combined With 3D Texture Analysis in the Diagnosis of BRCA Gene Mutation Status in Advanced Epithelial Ovarian Cancer. Li MR; Liu MZ; Ge YQ; Zhou Y; Wei W Front Oncol; 2021; 11():696780. PubMed ID: 34381719 [TBL] [Abstract][Full Text] [Related]
23. Model-based three-dimensional texture analysis of contrast-enhanced magnetic resonance imaging as a potential tool for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Zhu YJ; Feng B; Wang S; Wang LM; Wu JF; Ma XH; Zhao XM Oncol Lett; 2019 Jul; 18(1):720-732. PubMed ID: 31289547 [TBL] [Abstract][Full Text] [Related]
24. Discrimination between pituitary adenoma and craniopharyngioma using MRI-based image features and texture features. Zhang Y; Chen C; Tian Z; Xu J Jpn J Radiol; 2020 Dec; 38(12):1125-1134. PubMed ID: 32710133 [TBL] [Abstract][Full Text] [Related]
26. Value of Texture Analysis on Gadoxetic Acid-Enhanced MRI for Differentiating Hepatocellular Adenoma From Focal Nodular Hyperplasia. Cannella R; Rangaswamy B; Minervini MI; Borhani AA; Tsung A; Furlan A AJR Am J Roentgenol; 2019 Mar; 212(3):538-546. PubMed ID: 30557050 [TBL] [Abstract][Full Text] [Related]
27. Diagnostic performance of multi-parametric MRI to differentiate benign sex cord stromal tumors from malignant (non-stromal and stromal) testicular neoplasms. Khanna M; Abualruz AR; Yadav SK; Mafraji M; Al-Rumaihi K; Al-Bozom I; Kumar D; Tsili AC; Schieda N Abdom Radiol (NY); 2021 Jan; 46(1):319-330. PubMed ID: 32572513 [TBL] [Abstract][Full Text] [Related]
28. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer. Park H; Kim KA; Jung JH; Rhie J; Choi SY Eur Radiol; 2020 Aug; 30(8):4201-4211. PubMed ID: 32270317 [TBL] [Abstract][Full Text] [Related]
29. The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study. Zhang Y; Chen C; Tian Z; Feng R; Cheng Y; Xu J Front Neurosci; 2019; 13():1113. PubMed ID: 31708724 [TBL] [Abstract][Full Text] [Related]
30. Ovarian sex cord stromal tumours: analysis of the clinical and sonographic characteristics of different histopathologic subtypes. Jiang MJ; Le Q; Yang BW; Yuan F; Chen H J Ovarian Res; 2021 Apr; 14(1):53. PubMed ID: 33865445 [TBL] [Abstract][Full Text] [Related]
31. MRI combined with clinical features to differentiate ovarian thecoma-fibroma with cystic degeneration from ovary adenofibroma. Bo J; Sun M; Wei C; Wei L; Fu B; Shi B; Fang X; Dong J Br J Radiol; 2024 May; 97(1157):1057-1065. PubMed ID: 38402483 [TBL] [Abstract][Full Text] [Related]
32. CT and MRI features of ovarian fibrothecoma. Deng L; Wang Y; Wang J; Qin D Asian J Surg; 2024 Mar; 47(3):1574-1576. PubMed ID: 38114398 [No Abstract] [Full Text] [Related]
33. Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience. Gao J; Huang X; Meng H; Zhang M; Zhang X; Lin X; Li B Front Oncol; 2020; 10():198. PubMed ID: 32158690 [No Abstract] [Full Text] [Related]
34. The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors. Li X; Guo H; Cong C; Liu H; Zhang C; Luo X; Zhong P; Shi H; Fang J; Wang Y Front Oncol; 2021; 11():745242. PubMed ID: 34858821 [TBL] [Abstract][Full Text] [Related]
35. MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors. Yang L; Zheng T; Dong Y; Wang Z; Liu D; Du J; Wu S; Shi Q; Liu L J Magn Reson Imaging; 2021 Apr; 53(4):1054-1065. PubMed ID: 33037745 [TBL] [Abstract][Full Text] [Related]
36. Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images. Shu Z; Fang S; Ye Q; Mao D; Cao H; Pang P; Gong X Abdom Radiol (NY); 2019 Nov; 44(11):3775-3784. PubMed ID: 30852633 [TBL] [Abstract][Full Text] [Related]
37. [Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer]. Shu Z; Fang S; Ding Z; Mao D; Pang P; Gong X Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Sep; 21(9):1051-1058. PubMed ID: 30269327 [TBL] [Abstract][Full Text] [Related]
38. Value of MRI texture analysis for predicting high-grade prostate cancer. Xiong H; He X; Guo D Clin Imaging; 2021 Apr; 72():168-174. PubMed ID: 33279769 [TBL] [Abstract][Full Text] [Related]
39. Utility of texture analysis on T2-weighted MR for differentiating tumor deposits from mesorectal nodes in rectal cancer patients, in a retrospective cohort. Atre ID; Eurboonyanun K; Noda Y; Parakh A; O'Shea A; Lahoud RM; Sell NM; Kunitake H; Harisinghani MG Abdom Radiol (NY); 2021 Feb; 46(2):459-468. PubMed ID: 32700214 [TBL] [Abstract][Full Text] [Related]
40. Glioblastoma and primary central nervous system lymphoma: Preoperative differentiation by using MRI-based 3D texture analysis. Xiao DD; Yan PF; Wang YX; Osman MS; Zhao HY Clin Neurol Neurosurg; 2018 Oct; 173():84-90. PubMed ID: 30092408 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]