BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 37546399)

  • 1. Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors' response in non-small cell lung cancer: a multicenter cohort study.
    Tonneau M; Phan K; Manem VSK; Low-Kam C; Dutil F; Kazandjian S; Vanderweyen D; Panasci J; Malo J; Coulombe F; Gagné A; Elkrief A; Belkaïd W; Di Jorio L; Orain M; Bouchard N; Muanza T; Rybicki FJ; Kafi K; Huntsman D; Joubert P; Chandelier F; Routy B
    Front Oncol; 2023; 13():1196414. PubMed ID: 37546399
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study.
    Yolchuyeva S; Giacomazzi E; Tonneau M; Lamaze F; Orain M; Coulombe F; Malo J; Belkaid W; Routy B; Joubert P; Manem VSK
    Sci Rep; 2023 Jul; 13(1):11065. PubMed ID: 37422576
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics for the non-invasive prediction of PD-L1 expression in patients with brain metastases secondary to non-small cell lung cancer.
    Meißner AK; Gutsche R; Galldiks N; Kocher M; Jünger ST; Eich ML; Nogova L; Araceli T; Schmidt NO; Ruge MI; Goldbrunner R; Proescholdt M; Grau S; Lohmann P
    J Neurooncol; 2023 Jul; 163(3):597-605. PubMed ID: 37382806
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning radiomics model based on PET/CT predicts PD-L1 expression in non-small cell lung cancer.
    Li B; Su J; Liu K; Hu C
    Eur J Radiol Open; 2024 Jun; 12():100549. PubMed ID: 38304572
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics.
    Yolchuyeva S; Ebrahimpour L; Tonneau M; Lamaze F; Orain M; Coulombe F; Malo J; Belkaid W; Routy B; Joubert P; Manem VS
    J Transl Med; 2024 Jan; 22(1):42. PubMed ID: 38200511
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Imaging-Based Biomarkers Predict Programmed Death-Ligand 1 and Survival Outcomes in Advanced NSCLC Treated With Nivolumab and Pembrolizumab: A Multi-Institutional Study.
    Yolchuyeva S; Giacomazzi E; Tonneau M; Lamaze F; Orain M; Coulombe F; Malo J; Belkaid W; Routy B; Joubert P; Manem VSK
    JTO Clin Res Rep; 2023 Dec; 4(12):100602. PubMed ID: 38124790
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Non-linear modifications enhance prediction of pathological response to pre-operative PD-1 blockade in lung cancer: A longitudinal hybrid radiological model.
    Jin W; Tian Y; Xuzhang W; Zhu H; Zou N; Shen L; Dong C; Yang Q; Jiang L; Huang J; Yuan Z; Ye X; Luo Q
    Pharmacol Res; 2023 Dec; 198():106992. PubMed ID: 37977237
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation.
    Kraus KM; Oreshko M; Schnabel JA; Bernhardt D; Combs SE; Peeken JC
    Lung Cancer; 2024 Mar; 189():107507. PubMed ID: 38394745
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CT-based radiomics for predicting Ki-67 expression in lung cancer: a systematic review and meta-analysis.
    Luo X; Zheng R; Zhang J; He J; Luo W; Jiang Z; Li Q
    Front Oncol; 2024; 14():1329801. PubMed ID: 38384802
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy.
    Leung VWS; Ng CKC; Lam SK; Wong PT; Ng KY; Tam CH; Lee TC; Chow KC; Chow YK; Tam VCW; Lee SWY; Lim FMY; Wu JQ; Cai J
    J Pers Med; 2023 Nov; 13(12):. PubMed ID: 38138870
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessing PD-L1 Expression Level via Preoperative MRI in HCC Based on Integrating Deep Learning and Radiomics Features.
    Tian Y; Komolafe TE; Zheng J; Zhou G; Chen T; Zhou B; Yang X
    Diagnostics (Basel); 2021 Oct; 11(10):. PubMed ID: 34679573
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics.
    Kazmierski M; Welch M; Kim S; McIntosh C; Rey-McIntyre K; Huang SH; Patel T; Tadic T; Milosevic M; Liu FF; Ryczkowski A; Kazmierska J; Ye Z; Plana D; Aerts HJWL; Kann BH; Bratman SV; Hope AJ; Haibe-Kains B
    Cancer Res Commun; 2023 Jun; 3(6):1140-1151. PubMed ID: 37397861
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Femoral osteoporosis prediction model using autosegmentation and machine learning analysis with PyRadiomics on abdomen-pelvic computed tomography (CT).
    Park MS; Ha HI; Lim HK; Han J; Pak S
    Quant Imaging Med Surg; 2024 Jun; 14(6):3959-3969. PubMed ID: 38846273
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics.
    Li C; Zhou Z; Hou L; Hu K; Wu Z; Xie Y; Ouyang J; Cai X
    Comput Biol Med; 2024 May; 178():108638. PubMed ID: 38897152
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes.
    Zhang X; Zhang G; Qiu X; Yin J; Tan W; Yin X; Yang H; Wang H; Zhang Y
    Biomark Res; 2024 Jan; 12(1):12. PubMed ID: 38273398
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study.
    Peisen F; Gerken A; Hering A; Dahm I; Nikolaou K; Gatidis S; Eigentler TK; Amaral T; Moltz JH; Othman AE
    Diagnostics (Basel); 2023 Oct; 13(20):. PubMed ID: 37892030
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Review of the use of radiomics to assess the risk of recurrence in early-stage non-small cell lung cancer.
    Libling WA; Korn R; Weiss GJ
    Transl Lung Cancer Res; 2023 Jul; 12(7):1575-1589. PubMed ID: 37577298
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning to Predict EGFR Mutation and PD-L1 Expression Status in Non-Small-Cell Lung Cancer on Computed Tomography Images.
    Wang C; Xu X; Shao J; Zhou K; Zhao K; He Y; Li J; Guo J; Yi Z; Li W
    J Oncol; 2021; 2021():5499385. PubMed ID: 35003258
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges.
    Elhalawani H; Lin TA; Volpe S; Mohamed ASR; White AL; Zafereo J; Wong AJ; Berends JE; AboHashem S; Williams B; Aymard JM; Kanwar A; Perni S; Rock CD; Cooksey L; Campbell S; Yang P; Nguyen K; Ger RB; Cardenas CE; Fave XJ; Sansone C; Piantadosi G; Marrone S; Liu R; Huang C; Yu K; Li T; Yu Y; Zhang Y; Zhu H; Morris JS; Baladandayuthapani V; Shumway JW; Ghosh A; Pöhlmann A; Phoulady HA; Goyal V; Canahuate G; Marai GE; Vock D; Lai SY; Mackin DS; Court LE; Freymann J; Farahani K; Kaplathy-Cramer J; Fuller CD
    Front Oncol; 2018; 8():294. PubMed ID: 30175071
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study.
    Qazi Arisar FA; Salinas-Miranda E; Ale Ali H; Lajkosz K; Chen C; Azhie A; Healy GM; Deniffel D; Haider MA; Bhat M
    Transpl Int; 2023; 36():11149. PubMed ID: 37720416
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.