124 related articles for article (PubMed ID: 34583867)
21. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.
Wang T; Gao T; Guo H; Wang Y; Zhou X; Tian J; Huang L; Zhang M
Eur Radiol; 2020 Jun; 30(6):3585-3593. PubMed ID: 32065284
[TBL] [Abstract][Full Text] [Related]
22. Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer.
Yue W; Meng N; Wang J; Liu W; Wang X; Yan M; Han D; Cheng J
Cancer Imaging; 2019 Feb; 19(1):9. PubMed ID: 30764876
[TBL] [Abstract][Full Text] [Related]
23. Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer.
Zhou Y; Gu HL; Zhang XL; Tian ZF; Xu XQ; Tang WW
Eur Radiol; 2022 Apr; 32(4):2540-2551. PubMed ID: 34642807
[TBL] [Abstract][Full Text] [Related]
24. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
[TBL] [Abstract][Full Text] [Related]
25. Classifying early stages of cervical cancer with MRI-based radiomics.
Zhao X; Wang X; Zhang B; Liu X; Xuan D; Xia Y; Zhang X
Magn Reson Imaging; 2022 Jun; 89():70-76. PubMed ID: 35337907
[TBL] [Abstract][Full Text] [Related]
26. Roles of DWI and T2-weighted MRI volumetry in the evaluation of lymph node metastasis and lymphovascular invasion of stage IB-IIA cervical cancer.
Wang Y; Chen X; Pu H; Yuan Y; Li S; Chen G; Liu Y; Li H
Clin Radiol; 2022 Mar; 77(3):224-230. PubMed ID: 35000761
[TBL] [Abstract][Full Text] [Related]
27. A comparative study of four diffusion-weighted imaging models in the diagnosis of cervical cancer.
Song J; Lu Y; Wang X; Peng W; Lin W; Hou Z; Yan Z
Acta Radiol; 2022 Apr; 63(4):536-544. PubMed ID: 33745294
[TBL] [Abstract][Full Text] [Related]
28. Application of synthetic magnetic resonance imaging and DWI for evaluation of prognostic factors in cervical carcinoma: a prospective preliminary study.
Zhang W; Lu N; He H; Liu H; Zhu F; Ma L; Luo Y; Qian L; Meng T; Xie C
Br J Radiol; 2023 Jan; 96(1141):20220596. PubMed ID: 36341699
[TBL] [Abstract][Full Text] [Related]
29. Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
Huang Y; Lin Y; Hu W; Ma C; Lin W; Wang Z; Liang J; Ye W; Zhao J; Wu R
J Magn Reson Imaging; 2019 Mar; 49(3):845-856. PubMed ID: 30260589
[TBL] [Abstract][Full Text] [Related]
30. Uterine Cervical Carcinoma: Evaluation Using Non-Gaussian Diffusion Kurtosis Imaging and Its Correlation With Histopathological Findings.
Yamada I; Oshima N; Wakana K; Miyasaka N; Wakabayashi A; Sakamoto J; Saida Y; Tateishi U; Kobayashi D
J Comput Assist Tomogr; 2021 Jan-Feb 01; 45(1):29-36. PubMed ID: 32558770
[TBL] [Abstract][Full Text] [Related]
31. A Combination Analysis of IVIM-DWI Biomarkers and T2WI-Based Texture Features for Tumor Differentiation Grade of Cervical Squamous Cell Carcinoma.
Shi B; Dong JN; Zhang LX; Li CP; Gao F; Li NY; Wang CB; Fang X; Wang PP
Contrast Media Mol Imaging; 2022; 2022():2837905. PubMed ID: 35360261
[TBL] [Abstract][Full Text] [Related]
32. Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging.
Zhu SC; Liu YH; Wei Y; Li LL; Dou SW; Sun TY; Shi DP
World J Gastroenterol; 2018 Feb; 24(8):929-940. PubMed ID: 29491686
[TBL] [Abstract][Full Text] [Related]
33. MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins.
He D; Wang X; Fu C; Wei X; Bao J; Ji X; Bai H; Xia W; Gao X; Huang Y; Hou J
Cancer Imaging; 2021 Jul; 21(1):46. PubMed ID: 34225808
[TBL] [Abstract][Full Text] [Related]
34. Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.
Xu Q; Zhu Q; Liu H; Chang L; Duan S; Dou W; Li S; Ye J
J Magn Reson Imaging; 2022 Apr; 55(4):1251-1259. PubMed ID: 34462986
[TBL] [Abstract][Full Text] [Related]
35. Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki-67 expression.
Li HM; Zhao SH; Qiang JW; Zhang GF; Feng F; Ma FH; Li YA; Gu WY
J Magn Reson Imaging; 2017 Nov; 46(5):1499-1506. PubMed ID: 28295854
[TBL] [Abstract][Full Text] [Related]
36. MS or not MS: T2-weighted imaging (T2WI)-based radiomic findings distinguish MS from its mimics.
He T; Zhao W; Mao Y; Wang Y; Wang L; Kuang Q; Xu J; Ji Y; He Y; Zhu M; Zhang N; Zhou F
Mult Scler Relat Disord; 2022 May; 61():103756. PubMed ID: 35397290
[TBL] [Abstract][Full Text] [Related]
37. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
38. Diffusion kurtosis imaging for differentiating between the benign and malignant sinonasal lesions.
Jiang JX; Tang ZH; Zhong YF; Qiang JW
J Magn Reson Imaging; 2017 May; 45(5):1446-1454. PubMed ID: 27758016
[TBL] [Abstract][Full Text] [Related]
39. Texture Analysis of Apparent Diffusion Coefficient Maps in Cervical Carcinoma: Correlation with Histopathologic Findings and Prognosis.
Yamada I; Oshima N; Miyasaka N; Wakana K; Wakabayashi A; Sakamoto J; Saida Y; Tateishi U; Kobayashi D
Radiol Imaging Cancer; 2020 May; 2(3):e190085. PubMed ID: 33778713
[TBL] [Abstract][Full Text] [Related]
40. Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI.
Ni M; Zhou X; Liu J; Yu H; Gao Y; Zhang X; Li Z
BMC Cancer; 2020 Nov; 20(1):1073. PubMed ID: 33167903
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
