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.
158 related articles for article (PubMed ID: 34722248)
41. Differentiating Enchondromas and Atypical Cartilaginous Tumors in Long Bones with Computed Tomography and Magnetic Resonance Imaging. Gassert FG; Breden S; Neumann J; Gassert FT; Bollwein C; Knebel C; Lenze U; von Eisenhart-Rothe R; Mogler C; Makowski MR; Peeken JC; Wörtler K; Gersing AS Diagnostics (Basel); 2022 Sep; 12(9):. PubMed ID: 36140587 [TBL] [Abstract][Full Text] [Related]
42. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868 [TBL] [Abstract][Full Text] [Related]
43. 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]
44. Usefulness of cytofluorometric DNA ploidy analysis in distinguishing benign cartilaginous tumors from chondrosarcomas. Kusuzaki K; Murata H; Takeshita H; Hirata M; Hashiguchi S; Tsuji Y; Nakamura S; Ashihara T; Hirasawa Y Mod Pathol; 1999 Sep; 12(9):863-72. PubMed ID: 10496594 [TBL] [Abstract][Full Text] [Related]
45. Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women. Tan Y; Mai H; Huang Z; Zhang L; Li C; Wu S; Huang H; Tang W; Liu Y; Jiang K BMC Med Imaging; 2021 Mar; 21(1):48. PubMed ID: 33706695 [TBL] [Abstract][Full Text] [Related]
46. Accuracy of CT texture analysis for differentiating low-grade and high-grade renal cell carcinoma: systematic review and meta-analysis. Yu W; Liang G; Zeng L; Yang Y; Wu Y BMJ Open; 2021 Dec; 11(12):e051470. PubMed ID: 34937716 [TBL] [Abstract][Full Text] [Related]
47. [CT texture analysis in bladder carcinoma: histologic grade characterization]. Liu ZH; Shi JY; Wang HY; Ye HY; Wang ZB; Yang T; Ma X; Bai X Zhonghua Zhong Liu Za Zhi; 2018 May; 40(5):379-383. PubMed ID: 29860766 [No Abstract] [Full Text] [Related]
48. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors. Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445 [TBL] [Abstract][Full Text] [Related]
49. Expression of Amphiregulin in Enchondromas and Central Chondrosarcomas. Losada DM; Ribeiro ALDC; Cintra FF; Mendonça GRA; Etchebehere M; Amstalden EMI Clinics (Sao Paulo); 2021; 76():e2914. PubMed ID: 34468540 [TBL] [Abstract][Full Text] [Related]
50. Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis. Budai BK; Tóth A; Borsos P; Frank VG; Shariati S; Fejér B; Folhoffer A; Szalay F; Bérczi V; Kaposi PN BMC Med Imaging; 2020 Sep; 20(1):108. PubMed ID: 32957949 [TBL] [Abstract][Full Text] [Related]
51. Quantitative Bone SPECT/CT of Central Cartilaginous Bone Tumors: Relationship between SUVmax and Radiodensity in Hounsfield Unit. Yoon H; Lee SK; Kim JY; Joo MW Cancers (Basel); 2024 May; 16(11):. PubMed ID: 38893090 [TBL] [Abstract][Full Text] [Related]
52. Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from Pancreatic Ductal Adenocarcinoma. Ren S; Tang HJ; Zhao R; Duan SF; Chen R; Wang ZQ Curr Med Sci; 2022 Feb; 42(1):217-225. PubMed ID: 35089491 [TBL] [Abstract][Full Text] [Related]
54. Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer. Song L; Yin J Front Oncol; 2020; 10():1364. PubMed ID: 32850437 [No Abstract] [Full Text] [Related]
55. Can Texture Analysis Be Used to Distinguish Benign From Malignant Adrenal Nodules on Unenhanced CT, Contrast-Enhanced CT, or In-Phase and Opposed-Phase MRI? Ho LM; Samei E; Mazurowski MA; Zheng Y; Allen BC; Nelson RC; Marin D AJR Am J Roentgenol; 2019 Mar; 212(3):554-561. PubMed ID: 30620676 [TBL] [Abstract][Full Text] [Related]
56. [The Value of MRI Texture Analysis in Identifying Intraductal Carcinoma of the Prostate Gland]. Chu L; Si Y; Liu RB Sichuan Da Xue Xue Bao Yi Xue Ban; 2020 Jan; 51(1):42-48. PubMed ID: 31950788 [TBL] [Abstract][Full Text] [Related]
57. Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes. Liu CX; Heng LJ; Han Y; Wang SZ; Yan LF; Yu Y; Ren JL; Wang W; Hu YC; Cui GB Front Oncol; 2021; 11():640375. PubMed ID: 34307124 [TBL] [Abstract][Full Text] [Related]
58. Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies. Hussain L; Saeed S; Awan IA; Idris A; Nadeem MSA; Chaudhry QU Curr Med Imaging Rev; 2019; 15(6):595-606. PubMed ID: 32008569 [TBL] [Abstract][Full Text] [Related]
59. Whole-tumor texture model based on diffusion kurtosis imaging for assessing cervical cancer: a preliminary study. Zhang Q; Yu X; Ouyang H; Zhang J; Chen S; Xie L; Zhao X Eur Radiol; 2021 Aug; 31(8):5576-5585. PubMed ID: 33464399 [TBL] [Abstract][Full Text] [Related]
60. Uric acid versus non-uric acid urinary stones: differentiation with single energy CT texture analysis. Zhang GM; Sun H; Shi B; Xu M; Xue HD; Jin ZY Clin Radiol; 2018 Sep; 73(9):792-799. PubMed ID: 29793721 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]