BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 38282158)

  • 1. Transfer learning of pre-treatment quantitative ultrasound multi-parametric images for the prediction of breast cancer response to neoadjuvant chemotherapy.
    Falou O; Sannachi L; Haque M; Czarnota GJ; Kolios MC
    Sci Rep; 2024 Jan; 14(1):2340. PubMed ID: 38282158
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy.
    Taleghamar H; Jalalifar SA; Czarnota GJ; Sadeghi-Naini A
    Sci Rep; 2022 Feb; 12(1):2244. PubMed ID: 35145158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.
    DiCenzo D; Quiaoit K; Fatima K; Bhardwaj D; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Kolios MC; Trudeau M; Gandhi S; Eisen A; Wright F; Look Hong N; Sahgal A; Stanisz G; Brezden C; Dinniwell R; Tran WT; Yang W; Curpen B; Czarnota GJ
    Cancer Med; 2020 Aug; 9(16):5798-5806. PubMed ID: 32602222
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach.
    Tadayyon H; Sannachi L; Gangeh M; Sadeghi-Naini A; Tran W; Trudeau ME; Pritchard K; Ghandi S; Verma S; Czarnota GJ
    Oncotarget; 2016 Jul; 7(29):45094-45111. PubMed ID: 27105515
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features.
    Sannachi L; Gangeh M; Tadayyon H; Sadeghi-Naini A; Gandhi S; Wright FC; Slodkowska E; Curpen B; Tran W; Czarnota GJ
    PLoS One; 2018; 13(1):e0189634. PubMed ID: 29298305
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment.
    Taleghamar H; Moghadas-Dastjerdi H; Czarnota GJ; Sadeghi-Naini A
    Sci Rep; 2021 Jul; 11(1):14865. PubMed ID: 34290259
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results.
    Quiaoit K; DiCenzo D; Fatima K; Bhardwaj D; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Kolios MC; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Sahgal A; Stanisz G; Brezden C; Dinniwell R; Tran WT; Yang W; Curpen B; Czarnota GJ
    PLoS One; 2020; 15(7):e0236182. PubMed ID: 32716959
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer.
    Bhardwaj D; Dasgupta A; DiCenzo D; Brade S; Fatima K; Quiaoit K; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Curpen B; Sannachi L; Czarnota GJ
    Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267555
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer.
    Dasgupta A; Brade S; Sannachi L; Quiaoit K; Fatima K; DiCenzo D; Osapoetra LO; Saifuddin M; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Sadeghi-Naini A; Tran WT; Curpen B; Czarnota GJ
    Oncotarget; 2020 Oct; 11(42):3782-3792. PubMed ID: 33144919
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis.
    Tran WT; Gangeh MJ; Sannachi L; Chin L; Watkins E; Bruni SG; Rastegar RF; Curpen B; Trudeau M; Gandhi S; Yaffe M; Slodkowska E; Childs C; Sadeghi-Naini A; Czarnota GJ
    Br J Cancer; 2017 May; 116(10):1329-1339. PubMed ID: 28419079
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.
    Jiang M; Li CL; Luo XM; Chuan ZR; Lv WZ; Li X; Cui XW; Dietrich CF
    Eur J Cancer; 2021 Apr; 147():95-105. PubMed ID: 33639324
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.
    Saednia K; Tran WT; Sadeghi-Naini A
    Med Phys; 2023 Dec; 50(12):7852-7864. PubMed ID: 37403567
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
    Yu FH; Miao SM; Li CY; Hang J; Deng J; Ye XH; Liu Y
    Eur Radiol; 2023 Aug; 33(8):5634-5644. PubMed ID: 36976336
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiparametric monitoring of chemotherapy treatment response in locally advanced breast cancer using quantitative ultrasound and diffuse optical spectroscopy.
    Tran WT; Childs C; Chin L; Slodkowska E; Sannachi L; Tadayyon H; Watkins E; Wong SL; Curpen B; El Kaffas A; Al-Mahrouki A; Sadeghi-Naini A; Czarnota GJ
    Oncotarget; 2016 Apr; 7(15):19762-80. PubMed ID: 26942698
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.
    Moghadas-Dastjerdi H; Sha-E-Tallat HR; Sannachi L; Sadeghi-Naini A; Czarnota GJ
    Sci Rep; 2020 Jul; 10(1):10936. PubMed ID: 32616912
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility study.
    Dasgupta A; DiCenzo D; Sannachi L; Gandhi S; Pezo RC; Eisen A; Warner E; Wright FC; Look-Hong N; Sadeghi-Naini A; Curpen B; Kolios MC; Trudeau M; Czarnota GJ
    Front Oncol; 2024; 14():1273437. PubMed ID: 38706611
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dual-Branch Convolutional Neural Network Based on Ultrasound Imaging in the Early Prediction of Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Breast Cancer.
    Xie J; Shi H; Du C; Song X; Wei J; Dong Q; Wan C
    Front Oncol; 2022; 12():812463. PubMed ID: 35463368
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantitative Ultrasound Monitoring of Breast Tumour Response to Neoadjuvant Chemotherapy: Comparison of Results Among Clinical Scanners.
    Sannachi L; Gangeh M; Naini AS; Bhargava P; Jain A; Tran WT; Czarnota GJ
    Ultrasound Med Biol; 2020 May; 46(5):1142-1157. PubMed ID: 32111456
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning.
    Moslemi A; Osapoetra LO; Dasgupta A; Alberico D; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Curpen B; Kolios MC; Czarnota GJ
    Front Oncol; 2024; 14():1359148. PubMed ID: 38756659
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    Osapoetra LO; Sannachi L; Quiaoit K; Dasgupta A; DiCenzo D; Fatima K; Wright F; Dinniwell R; Trudeau M; Gandhi S; Tran W; Kolios MC; Yang W; Czarnota GJ
    Oncotarget; 2021 Jan; 12(2):81-94. PubMed ID: 33520113
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.