BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 36996627)

  • 1. CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma.
    Ter Maat LS; van Duin IAJ; Elias SG; Leiner T; Verhoeff JJC; Arntz ERAN; Troenokarso MF; Blokx WAM; Isgum I; de Wit GA; van den Berkmortel FWPJ; Boers-Sonderen MJ; Boomsma MF; van den Eertwegh FJM; de Groot JWB; Piersma D; Vreugdenhil A; Westgeest HM; Kapiteijn E; van Diest PJ; Pluim JPW; de Jong PA; Suijkerbuijk KPM; Veta M
    Eur J Cancer; 2023 May; 185():167-177. PubMed ID: 36996627
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma.
    Brendlin AS; Peisen F; Almansour H; Afat S; Eigentler T; Amaral T; Faby S; Calvarons AF; Nikolaou K; Othman AE
    J Immunother Cancer; 2021 Nov; 9(11):. PubMed ID: 34795006
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
    Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
    Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition.
    Basler L; Gabryś HS; Hogan SA; Pavic M; Bogowicz M; Vuong D; Tanadini-Lang S; Förster R; Kudura K; Huellner MW; Dummer R; Guckenberger M; Levesque MP
    Clin Cancer Res; 2020 Aug; 26(16):4414-4425. PubMed ID: 32253232
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early Readout on Overall Survival of Patients With Melanoma Treated With Immunotherapy Using a Novel Imaging Analysis.
    Dercle L; Zhao B; Gönen M; Moskowitz CS; Firas A; Beylergil V; Connors DE; Yang H; Lu L; Fojo T; Carvajal R; Karovic S; Maitland ML; Goldmacher GV; Oxnard GR; Postow MA; Schwartz LH
    JAMA Oncol; 2022 Mar; 8(3):385-392. PubMed ID: 35050320
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
    Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
    Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
    Ma X; Xia L; Chen J; Wan W; Zhou W
    Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients.
    Farina B; Guerra ADR; Bermejo-Peláez D; Miras CP; Peral AA; Madueño GG; Jaime JC; Vilalta-Lacarra A; Pérez JR; Muñoz-Barrutia A; Peces-Barba GR; Maceiras LS; Gil-Bazo I; Gómez MD; Ledesma-Carbayo MJ
    J Transl Med; 2023 Mar; 21(1):174. PubMed ID: 36872371
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
    Zhu Y; Yao W; Xu BC; Lei YY; Guo QK; Liu LZ; Li HJ; Xu M; Yan J; Chang DD; Feng ST; Zhu ZH
    BMC Cancer; 2021 Oct; 21(1):1167. PubMed ID: 34717582
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Based on CT radiomics model for predicting the response to first-line chemotherapy of diffuse large B-cell lymphoma].
    Yin MX; Su QN; Song X; Zhang JX
    Zhonghua Zhong Liu Za Zhi; 2023 May; 45(5):438-444. PubMed ID: 37188630
    [No Abstract]   [Full Text] [Related]  

  • 12. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
    Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
    Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Metastatic melanoma treated by immunotherapy: discovering prognostic markers from radiomics analysis of pretreatment CT with feature selection and classification.
    Ungan G; Lavandier AF; Rouanet J; Hordonneau C; Chauveau B; Pereira B; Boyer L; Garcier JM; Mansard S; Bartoli A; Magnin B
    Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1867-1877. PubMed ID: 35650345
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
    Purkayastha S; Xiao Y; Jiao Z; Thepumnoeysuk R; Halsey K; Wu J; Tran TML; Hsieh B; Choi JW; Wang D; Vallières M; Wang R; Collins S; Feng X; Feldman M; Zhang PJ; Atalay M; Sebro R; Yang L; Fan Y; Liao WH; Bai HX
    Korean J Radiol; 2021 Jul; 22(7):1213-1224. PubMed ID: 33739635
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
    Zhang J; Liu J; Liang Z; Xia L; Zhang W; Xing Y; Zhang X; Tang G
    BMC Musculoskelet Disord; 2023 Mar; 24(1):165. PubMed ID: 36879285
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis.
    Fu J; Fang M; Lin Z; Qiu J; Yang M; Tian J; Dong D; Zou Y
    Vis Comput Ind Biomed Art; 2024 Jan; 7(1):1. PubMed ID: 38212451
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.
    Kawahara D; Murakami Y; Tani S; Nagata Y
    Br J Radiol; 2021 Aug; 94(1124):20210525. PubMed ID: 34235955
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapy.
    Sun R; Lerousseau M; Briend-Diop J; Routier E; Roy S; Henry T; Ka K; Jiang R; Temar N; Carré A; Laville A; Hamaoui A; Laurent PA; Rouyar A; Robert C; Robert C; Deutsch E
    J Immunother Cancer; 2022 Oct; 10(10):. PubMed ID: 36307149
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors.
    Ligero M; Garcia-Ruiz A; Viaplana C; Villacampa G; Raciti MV; Landa J; Matos I; Martin-Liberal J; Ochoa-de-Olza M; Hierro C; Mateo J; Gonzalez M; Morales-Barrera R; Suarez C; Rodon J; Elez E; Braña I; Muñoz-Couselo E; Oaknin A; Fasani R; Nuciforo P; Gil D; Rubio-Perez C; Seoane J; Felip E; Escobar M; Tabernero J; Carles J; Dienstmann R; Garralda E; Perez-Lopez R
    Radiology; 2021 Apr; 299(1):109-119. PubMed ID: 33497314
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.