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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

294 related articles for article (PubMed ID: 32932563)

  • 1. Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors.
    Ye R; Weng S; Li Y; Yan C; Chen J; Zhu Y; Wen L
    Korean J Radiol; 2021 Jan; 22(1):106-117. PubMed ID: 32932563
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
    Li Y; Jian J; Pickhardt PJ; Ma F; Xia W; Li H; Zhang R; Zhao S; Cai S; Zhao X; Zhang J; Zhang G; Jiang J; Zhang Y; Wang K; Lin G; Feng F; Lu J; Deng L; Wu X; Qiang J; Gao X
    J Magn Reson Imaging; 2020 Sep; 52(3):897-904. PubMed ID: 32045064
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors.
    Xiao F; Zhang L; Yang S; Peng K; Hua T; Tang G
    J Ovarian Res; 2022 Jan; 15(1):13. PubMed ID: 35062992
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors.
    Jian J; Li Y; Xia W; He Z; Zhang R; Li H; Zhao X; Zhao S; Zhang J; Cai S; Wu X; Gao X; Qiang J
    J Magn Reson Imaging; 2022 Jul; 56(1):173-181. PubMed ID: 34842320
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI features and score for differentiating borderline from malignant epithelial ovarian tumors.
    Li YA; Qiang JW; Ma FH; Li HM; Zhao SH
    Eur J Radiol; 2018 Jan; 98():136-142. PubMed ID: 29279152
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The enhanced T
    Han X; Sun M; Wang M; Fan R; Chen D; Xie L; Liu A
    Eur J Radiol; 2019 Sep; 118():187-193. PubMed ID: 31439240
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Value of normalized apparent diffusion coefficients in differentiating between borderline and malignant epithelial ovarian tumors.
    Lu J; Pi S; Ma FH; Zhao SH; Li HM; Cai SL; Qiang JW
    Eur J Radiol; 2019 Sep; 118():44-50. PubMed ID: 31439257
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of contrast-enhanced dual-energy spectral CT for differentiating borderline from malignant epithelial ovarian tumours.
    Han X; Li B; Sun M; Li J; Li Y; Liu A
    Clin Radiol; 2021 Aug; 76(8):585-592. PubMed ID: 34059294
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The serum CA-125 concentration data assists in evaluating CT imaging information when used to differentiate borderline ovarian tumor from malignant epithelial ovarian tumors.
    Shin JE; Choi HJ; Kim MH; Cho KS
    Korean J Radiol; 2011; 12(4):456-62. PubMed ID: 21852906
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Value of conventional magnetic resonance imaging texture analysis in the differential diagnosis of benign and borderline/malignant phyllodes tumors of the breast.
    Li X; Jiang N; Zhang C; Luo X; Zhong P; Fang J
    Cancer Imaging; 2021 Mar; 21(1):29. PubMed ID: 33712070
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors.
    Jian J; Xia W; Zhang R; Zhao X; Zhang J; Wu X; Li Y; Qiang J; Gao X
    Artif Intell Med; 2021 Nov; 121():102194. PubMed ID: 34763809
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis.
    Denewar FA; Takeuchi M; Urano M; Kamishima Y; Kawai T; Takahashi N; Takeuchi M; Kobayashi S; Honda J; Shibamoto Y
    Eur J Radiol; 2017 Jun; 91():116-123. PubMed ID: 28629557
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors.
    Li HM; Feng F; Qiang JW; Zhang GF; Zhao SH; Ma FH; Li YA; Gu WY
    Abdom Radiol (NY); 2018 Nov; 43(11):3132-3141. PubMed ID: 29556691
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Magnetic resonance imaging-based radiomics analysis of the differential diagnosis of ovarian clear cell carcinoma and endometrioid carcinoma: a retrospective study.
    Takeyama N; Sasaki Y; Ueda Y; Tashiro Y; Tanaka E; Nagai K; Morioka M; Ogawa T; Tate G; Hashimoto T; Ohgiya Y
    Jpn J Radiol; 2024 Jul; 42(7):731-743. PubMed ID: 38472624
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diffusion-weighted MR imaging for differentiating borderline from malignant epithelial tumours of the ovary: pathological correlation.
    Zhao SH; Qiang JW; Zhang GF; Ma FH; Cai SQ; Li HM; Wang L
    Eur Radiol; 2014 Sep; 24(9):2292-9. PubMed ID: 24871335
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors.
    Li S; Liu J; Xiong Y; Han Y; Pang P; Luo P; Fan B
    Biomed Res Int; 2022; 2022():5952296. PubMed ID: 35224097
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms.
    Song XL; Ren JL; Zhao D; Wang L; Ren H; Niu J
    Eur Radiol; 2021 Jan; 31(1):368-378. PubMed ID: 32767049
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MRI texture features differentiate clinicopathological characteristics of cervical carcinoma.
    Wang M; Perucho JAU; Tse KY; Chu MMY; Ip P; Lee EYP
    Eur Radiol; 2020 Oct; 30(10):5384-5391. PubMed ID: 32382845
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas/fibrothecomas and their differential diagnosis with malignant pelvic solid tumors.
    Yin B; Li W; Cui Y; Chu C; Ding M; Chen J; Zhang P; Wu X
    World J Surg Oncol; 2016 Jan; 14(1):5. PubMed ID: 26744173
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.