BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 36802982)

  • 1. Radiomic analysis in contrast-enhanced mammography using a multivendor data set: accuracy of models according to segmentation techniques.
    Savaridas SL; Agrawal U; Fagbamigbe AF; Tennant SL; McCowan C
    Br J Radiol; 2023 Apr; 96(1145):20220980. PubMed ID: 36802982
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions.
    Wang S; Sun Y; Li R; Mao N; Li Q; Jiang T; Chen Q; Duan S; Xie H; Gu Y
    Eur Radiol; 2022 Jan; 32(1):639-649. PubMed ID: 34189600
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification.
    Fusco R; Piccirillo A; Sansone M; Granata V; Rubulotta MR; Petrosino T; Barretta ML; Vallone P; Di Giacomo R; Esposito E; Di Bonito M; Petrillo A
    Diagnostics (Basel); 2021 Apr; 11(5):. PubMed ID: 33946333
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions.
    Fusco R; Di Bernardo E; Piccirillo A; Rubulotta MR; Petrosino T; Barretta ML; Mattace Raso M; Vallone P; Raiano C; Di Giacomo R; Siani C; Avino F; Scognamiglio G; Di Bonito M; Granata V; Petrillo A
    Curr Oncol; 2022 Mar; 29(3):1947-1966. PubMed ID: 35323359
    [No Abstract]   [Full Text] [Related]  

  • 5. A multicentric study of radiomics and artificial intelligence analysis on contrast-enhanced mammography to identify different histotypes of breast cancer.
    Petrillo A; Fusco R; Petrosino T; Vallone P; Granata V; Rubulotta MR; Pariante P; Raiano N; Scognamiglio G; Fanizzi A; Massafra R; Lafranceschina M; La Forgia D; Greco L; Ferranti FR; De Soccio V; Vidiri A; Botta F; Dominelli V; Cassano E; Sorgente E; Pecori B; Cerciello V; Boldrini L
    Radiol Med; 2024 Jun; 129(6):864-878. PubMed ID: 38755477
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Breast Cancer Histological Outcome by Radiomics and Artificial Intelligence Analysis in Contrast-Enhanced Mammography.
    Petrillo A; Fusco R; Di Bernardo E; Petrosino T; Barretta ML; Porto A; Granata V; Di Bonito M; Fanizzi A; Massafra R; Petruzzellis N; Arezzo F; Boldrini L; La Forgia D
    Cancers (Basel); 2022 Apr; 14(9):. PubMed ID: 35565261
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomics Based on Digital Mammography Helps to Identify Mammographic Masses Suspicious for Cancer.
    Wang G; Shi D; Guo Q; Zhang H; Wang S; Ren K
    Front Oncol; 2022; 12():843436. PubMed ID: 35433437
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomic Analysis of Contrast-Enhanced Mammography With Different Image Types: Classification of Breast Lesions.
    Wang S; Mao N; Duan S; Li Q; Li R; Jiang T; Wang Z; Xie H; Gu Y
    Front Oncol; 2021; 11():600546. PubMed ID: 34123776
    [No Abstract]   [Full Text] [Related]  

  • 9. Mammography-based radiomics analysis and imaging features for predicting the malignant risk of phyllodes tumours of the breast.
    Wang HJ; Cao PW; Nan SM; Deng XY
    Clin Radiol; 2023 May; 78(5):e386-e392. PubMed ID: 36868973
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis.
    Huo Z; Giger ML; Vyborny CJ
    IEEE Trans Med Imaging; 2001 Dec; 20(12):1285-92. PubMed ID: 11811828
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Incorporating the clinical and radiomics features of contrast-enhanced mammography to classify breast lesions: a retrospective study.
    Wang S; Sun Y; Mao N; Duan S; Li Q; Li R; Jiang T; Wang Z; Xie H; Gu Y
    Quant Imaging Med Surg; 2021 Oct; 11(10):4418-4430. PubMed ID: 34603996
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Accuracy of GE digital breast tomosynthesis vs supplementary mammographic views for diagnosis of screen-detected soft-tissue breast lesions.
    Cornford EJ; Turnbull AE; James JJ; Tsang R; Akram T; Burrell HC; Hamilton LJ; Tennant SL; Bagnall MJ; Puri S; Ball GR; Chen Y; Jones V
    Br J Radiol; 2016; 89(1058):20150735. PubMed ID: 26559441
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications.
    Lei C; Wei W; Liu Z; Xiong Q; Yang C; Yang M; Zhang L; Zhu T; Zhuang X; Liu C; Liu Z; Tian J; Wang K
    Eur J Radiol; 2019 Dec; 121():108711. PubMed ID: 31677544
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.
    Robinson K; Li H; Lan L; Schacht D; Giger M
    Med Phys; 2019 May; 46(5):2145-2156. PubMed ID: 30802972
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Correspondence in texture features between two mammographic views.
    Gupta S; Markey MK
    Med Phys; 2005 Jun; 32(6):1598-606. PubMed ID: 16013719
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer.
    Ge S; Yixing Y; Jia D; Ling Y
    BMC Med Imaging; 2022 Sep; 22(1):166. PubMed ID: 36104679
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: impact of tumor segmentation variability.
    Qiu Q; Duan J; Duan Z; Meng X; Ma C; Zhu J; Lu J; Liu T; Yin Y
    Quant Imaging Med Surg; 2019 Mar; 9(3):453-464. PubMed ID: 31032192
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
    Sapate SG; Mahajan A; Talbar SN; Sable N; Desai S; Thakur M
    Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Exploring the Utility of Radiomic Feature Extraction to Improve the Diagnostic Accuracy of Cardiac Sarcoidosis Using FDG PET.
    Mushari NA; Soultanidis G; Duff L; Trivieri MG; Fayad ZA; Robson P; Tsoumpas C
    Front Med (Lausanne); 2022; 9():840261. PubMed ID: 35295595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.