290 related articles for article (PubMed ID: 32932563)
21. 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]
22. Differentiation of Borderline Epithelial Ovarian Tumors from Benign and Malignant Epithelial Ovarian Tumors by MRI Scoring.
Babaoglu S; Atas AE; Kerimoglu U; Iyisoy MS; Kilinc F
Curr Med Imaging; 2024; 20():e060623217706. PubMed ID: 37282660
[TBL] [Abstract][Full Text] [Related]
23. Perfusion-based functional magnetic resonance imaging for differentiating serous borderline ovarian tumors from early serous ovarian cancers in a rat model.
Cai SQ; Li Y; Li YA; Wang L; Zhu J; Zhao SH; Qiang JW
Acta Radiol; 2021 Jan; 62(1):129-138. PubMed ID: 32276553
[TBL] [Abstract][Full Text] [Related]
24. Role of proton MR spectroscopy in the differentiation of borderline from malignant epithelial ovarian tumors: A preliminary study.
Ma FH; Li YA; Liu J; Li HM; Zhang GF; Qiang JW
J Magn Reson Imaging; 2019 Jun; 49(6):1684-1693. PubMed ID: 30353967
[TBL] [Abstract][Full Text] [Related]
25. Tubo-Ovarian Abscess (with/without Pseudotumor Area) Mimicking Ovarian Malignancy: Role of Diffusion-Weighted MR Imaging with Apparent Diffusion Coefficient Values.
Wang T; Li W; Wu X; Yin B; Chu C; Ding M; Cui Y
PLoS One; 2016; 11(2):e0149318. PubMed ID: 26894926
[TBL] [Abstract][Full Text] [Related]
26. Discriminating Between Benign and Malignant Solid Ovarian Tumors Based on Clinical and Radiomic Features of MRI.
Zheng Y; Wang H; Li Q; Sun H; Guo L
Acad Radiol; 2023 May; 30(5):814-822. PubMed ID: 35810066
[TBL] [Abstract][Full Text] [Related]
27. Computed tomography-based texture assessment for the differentiation of benign, borderline, and early-stage malignant ovarian neoplasms.
He Z; Chen J; Yang F; Pan X; Liu C
J Int Med Res; 2023 Jan; 51(1):3000605221150139. PubMed ID: 36688472
[TBL] [Abstract][Full Text] [Related]
28. Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.
Zhang H; Mao Y; Chen X; Wu G; Liu X; Zhang P; Bai Y; Lu P; Yao W; Wang Y; Yu J; Zhang G
Eur Radiol; 2019 Jul; 29(7):3358-3371. PubMed ID: 30963272
[TBL] [Abstract][Full Text] [Related]
29. MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes.
Qian L; Ren J; Liu A; Gao Y; Hao F; Zhao L; Wu H; Niu G
Eur Radiol; 2020 Nov; 30(11):5815-5825. PubMed ID: 32535738
[TBL] [Abstract][Full Text] [Related]
30. MRI-based texture analysis of the primary tumor for pre-treatment prediction of bone metastases in prostate cancer.
Wang Y; Yu B; Zhong F; Guo Q; Li K; Hou Y; Lin N
Magn Reson Imaging; 2019 Jul; 60():76-84. PubMed ID: 30917943
[TBL] [Abstract][Full Text] [Related]
31. MRI-based texture analysis for differentiating pediatric craniofacial rhabdomyosarcoma from infantile hemangioma.
Sarioglu FC; Sarioglu O; Guleryuz H; Ozer E; Ince D; Olgun HN
Eur Radiol; 2020 Oct; 30(10):5227-5236. PubMed ID: 32382846
[TBL] [Abstract][Full Text] [Related]
32. Diagnostic performance of MR imaging findings and quantitative values in the differentiation of seromucinous borderline tumour from endometriosis-related malignant ovarian tumour.
Kurata Y; Kido A; Moribata Y; Kameyama K; Himoto Y; Minamiguchi S; Konishi I; Togashi K
Eur Radiol; 2017 Apr; 27(4):1695-1703. PubMed ID: 27553934
[TBL] [Abstract][Full Text] [Related]
33. Clinical value of human epididymis protein 4 and the Risk of Ovarian Malignancy Algorithm in differentiating borderline pelvic tumors from epithelial ovarian cancer in early stages.
Kotowicz B; Fuksiewicz M; Sobiczewski P; Spiewankiewicz B; Jonska-Gmyrek J; Skrzypczak M; Kowalska M
Eur J Obstet Gynecol Reprod Biol; 2015 Nov; 194():141-6. PubMed ID: 26398337
[TBL] [Abstract][Full Text] [Related]
34. Prediction of Fuhrman grade of renal clear cell carcinoma by multimodal MRI radiomics: a retrospective study.
Pan L; Chen M; Sun J; Jin P; Ding J; Cai P; Chen J; Xing W
Clin Radiol; 2024 Feb; 79(2):e273-e281. PubMed ID: 38065776
[TBL] [Abstract][Full Text] [Related]
35. [High-throughput texture analysis in the distinction of single metastatic brain tumors from high-grade gliomas].
Yin HL; Li DB; Jiang Y; Li SH; Chen Y; Lin GW
Zhonghua Zhong Liu Za Zhi; 2018 Nov; 40(11):841-846. PubMed ID: 30481936
[No Abstract] [Full Text] [Related]
36. Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model.
Dong J; Yu M; Miao Y; Shen H; Sui Y; Liu Y; Han L; Li X; Lin M; Guo Y; Xie L
Biomed Res Int; 2020; 2020():5042356. PubMed ID: 33344637
[TBL] [Abstract][Full Text] [Related]
37. CT and MRI findings of type I and type II epithelial ovarian cancer.
Liu D; Zhang L; Indima N; Peng K; Li Q; Hua T; Tang G
Eur J Radiol; 2017 May; 90():225-233. PubMed ID: 28583639
[TBL] [Abstract][Full Text] [Related]
38. Texture analysis of magnetic resonance image to differentiate benign from malignant myxoid soft tissue tumors: A retrospective comparative study.
Chang H; Kang Y; Ahn JM; Lee E; Lee JW; Kang HS
PLoS One; 2022; 17(5):e0267569. PubMed ID: 35587928
[TBL] [Abstract][Full Text] [Related]
39. Differentiation of benign from malignant adnexal masses by functional 3 tesla MRI techniques: diffusion-weighted imaging and time-intensity curves of dynamic contrast-enhanced MRI.
Malek M; Pourashraf M; Mousavi AS; Rahmani M; Ahmadinejad N; Alipour A; Hashemi FS; Shakiba M
Asian Pac J Cancer Prev; 2015; 16(8):3407-12. PubMed ID: 25921153
[TBL] [Abstract][Full Text] [Related]
40. Differentiation of Diffuse Large B-cell Lymphoma From Follicular Lymphoma Using Texture Analysis on Conventional MR Images at 3.0 Tesla.
Wu X; Sikiö M; Pertovaara H; Järvenpää R; Eskola H; Dastidar P; Kellokumpu-Lehtinen PL
Acad Radiol; 2016 Jun; 23(6):696-703. PubMed ID: 26976622
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
