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 *

187 related articles for article (PubMed ID: 32992569)

  • 1. Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay.
    Jacobs MA; Umbricht CB; Parekh VS; El Khouli RH; Cope L; Macura KJ; Harvey S; Wolff AC
    Cancers (Basel); 2020 Sep; 12(10):. PubMed ID: 32992569
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.
    Parekh VS; Jacobs MA
    Breast Cancer Res Treat; 2020 Apr; 180(2):407-421. PubMed ID: 32020435
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
    Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
    J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance.
    Daimiel Naranjo I; Gibbs P; Reiner JS; Lo Gullo R; Thakur SB; Jochelson MS; Thakur N; Baltzer PAT; Helbich TH; Pinker K
    Cancers (Basel); 2022 Mar; 14(7):. PubMed ID: 35406514
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study.
    Hu L; Zhou DW; Fu CX; Benkert T; Jiang CY; Li RT; Wei LM; Zhao JG
    Eur Radiol; 2021 Mar; 31(3):1760-1769. PubMed ID: 32935192
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
    Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
    Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Discrimination between HER2-overexpressing, -low-expressing, and -zero-expressing statuses in breast cancer using multiparametric MRI-based radiomics.
    Zheng S; Yang Z; Du G; Zhang Y; Jiang C; Xu T; Li B; Wang D; Qiu Y; Lin D; Zhang X; Shen J
    Eur Radiol; 2024 Sep; 34(9):6132-6144. PubMed ID: 38363315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.
    Huang Y; Chen W; Zhang X; He S; Shao N; Shi H; Lin Z; Wu X; Li T; Lin H; Lin Y
    Front Bioeng Biotechnol; 2021; 9():662749. PubMed ID: 34295877
    [No Abstract]   [Full Text] [Related]  

  • 12. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K; Cidan W; Qi Y; Wang X
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A dynamic-static combination model based on radiomics features for prostate cancer using multiparametric MRI.
    Li S; Zheng T; Fan Z; Qu H; Wang J; Bi J; Lv Q; Zhang G; Cui X; Zhao Y
    Phys Med Biol; 2022 Dec; 68(1):. PubMed ID: 36541844
    [No Abstract]   [Full Text] [Related]  

  • 15. Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer.
    Song SE; Cho KR; Cho Y; Kim K; Jung SP; Seo BK; Woo OH
    Eur Radiol; 2022 Feb; 32(2):853-863. PubMed ID: 34383145
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiparametric MR-based feature fusion radiomics combined with ADC maps-based tumor proliferative burden in distinguishing TNBC versus non-TNBC.
    Zhang W; Liang F; Zhao Y; Li J; He C; Zhao Y; Lai S; Xu Y; Ding W; Wei X; Jiang X; Yang R; Zhen X
    Phys Med Biol; 2024 Feb; 69(5):. PubMed ID: 38306970
    [No Abstract]   [Full Text] [Related]  

  • 17. Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging.
    Hu Q; Whitney HM; Giger ML
    J Med Imaging (Bellingham); 2020 Jul; 7(4):044502. PubMed ID: 32864390
    [No Abstract]   [Full Text] [Related]  

  • 18. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
    Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
    Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiparametric Magnetic Resonance Imaging-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer.
    Bai H; Xia W; Ji X; He D; Zhao X; Bao J; Zhou J; Wei X; Huang Y; Li Q; Gao X
    J Magn Reson Imaging; 2021 Oct; 54(4):1222-1230. PubMed ID: 33970517
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features.
    Zhang J; Zhan C; Zhang C; Song Y; Yan X; Guo Y; Ai T; Yang G
    Radiol Med; 2023 Feb; 128(2):160-170. PubMed ID: 36670236
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.