BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

346 related articles for article (PubMed ID: 32594207)

  • 1. Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers.
    Lo Gullo R; Daimiel I; Rossi Saccarelli C; Bitencourt A; Gibbs P; Fox MJ; Thakur SB; Martinez DF; Jochelson MS; Morris EA; Pinker K
    Eur Radiol; 2020 Dec; 30(12):6721-6731. PubMed ID: 32594207
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade.
    Lo Gullo R; Vincenti K; Rossi Saccarelli C; Gibbs P; Fox MJ; Daimiel I; Martinez DF; Jochelson MS; Morris EA; Reiner JS; Pinker K
    Breast Cancer Res Treat; 2021 Jun; 187(2):535-545. PubMed ID: 33471237
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.
    Interlenghi M; Salvatore C; Magni V; Caldara G; Schiavon E; Cozzi A; Schiaffino S; Carbonaro LA; Castiglioni I; Sardanelli F
    Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054354
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combined Use of Shear Wave Elastography, Microvascular Doppler Ultrasound Technique, and BI-RADS for the Differentiation of Benign and Malignant Breast Masses.
    Wang B; Chen YY; Yang S; Chen ZW; Luo J; Cui XW; Dietrich CF; Yi AJ
    Front Oncol; 2022; 12():906501. PubMed ID: 35686093
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differentiation of benign from malignant solid renal lesions with MRI-based radiomics and machine learning.
    Massa'a RN; Stoeckl EM; Lubner MG; Smith D; Mao L; Shapiro DD; Abel EJ; Wentland AL
    Abdom Radiol (NY); 2022 Aug; 47(8):2896-2904. PubMed ID: 35723716
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.
    Daimiel Naranjo I; Gibbs P; Reiner JS; Lo Gullo R; Sooknanan C; Thakur SB; Jochelson MS; Sevilimedu V; Morris EA; Baltzer PAT; Helbich TH; Pinker K
    Diagnostics (Basel); 2021 May; 11(6):. PubMed ID: 34063774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Characterization of Sub-1 cm Breast Lesions Using Radiomics Analysis.
    Gibbs P; Onishi N; Sadinski M; Gallagher KM; Hughes M; Martinez DF; Morris EA; Sutton EJ
    J Magn Reson Imaging; 2019 Nov; 50(5):1468-1477. PubMed ID: 30916835
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
    Zhou J; Liu YL; Zhang Y; Chen JH; Combs FJ; Parajuli R; Mehta RS; Liu H; Chen Z; Zhao Y; Pan Z; Wang M; Yu R; Su MY
    Front Oncol; 2021; 11():728224. PubMed ID: 34790569
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies.
    Pötsch N; Dietzel M; Kapetas P; Clauser P; Pinker K; Ellmann S; Uder M; Helbich T; Baltzer PAT
    Eur Radiol; 2021 Aug; 31(8):5866-5876. PubMed ID: 33744990
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses.
    Verburg E; van Gils CH; Bakker MF; Viergever MA; Pijnappel RM; Veldhuis WB; Gilhuijs KGA
    Invest Radiol; 2020 Jul; 55(7):438-444. PubMed ID: 32149858
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
    Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
    J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics model to classify mammary masses using breast DCE-MRI compared to the BI-RADS classification performance.
    Debbi K; Habert P; Grob A; Loundou A; Siles P; Bartoli A; Jacquier A
    Insights Imaging; 2023 Apr; 14(1):64. PubMed ID: 37052738
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Value of breast MRI omics features and clinical characteristics in Breast Imaging Reporting and Data System (BI-RADS) category 4 breast lesions: an analysis of radiomics-based diagnosis.
    Cui Q; Sun L; Zhang Y; Zhao Z; Li S; Liu Y; Ge H; Qin D; Zhao Y
    Ann Transl Med; 2021 Nov; 9(22):1677. PubMed ID: 34988186
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment.
    Hao W; Gong J; Wang S; Zhu H; Zhao B; Peng W
    Front Oncol; 2020; 10():531476. PubMed ID: 33194589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions.
    Perre SV; Duron L; Milon A; Bekhouche A; Balvay D; Cornelis FH; Fournier L; Thomassin-Naggara I
    Eur Radiol; 2021 Jul; 31(7):4848-4859. PubMed ID: 33404696
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X; Wan Q; Chen H; Li Y; Li X
    Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Can Follow-up be Avoided for Probably Benign US Masses with No Enhancement on MRI?
    Avendano D; Marino MA; Onishi N; Leithner D; Martinez DF; Gibbs P; Jochelson M; Pinker K; Morris EA; Sutton EJ
    Eur Radiol; 2021 Feb; 31(2):975-982. PubMed ID: 32870394
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions.
    Lin J; Zheng H; Jia Q; Shi J; Wang S; Wang J; Ge M
    J Cancer Res Clin Oncol; 2024 May; 150(5):254. PubMed ID: 38748373
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.