BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 38179695)

  • 21. Comparison of MRI and CT-Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.
    Li J; Zhang HL; Yin HK; Zhang HK; Wang Y; Xu SN; Ma F; Gao JB; Li HL; Qu JR
    J Magn Reson Imaging; 2023 Sep; 58(3):907-923. PubMed ID: 36527425
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
    Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
    J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomics in Gastric Cancer: First Clinical Investigation to Predict Lymph Vascular Invasion and Survival Outcome Using
    Yang L; Chu W; Li M; Xu P; Wang M; Peng M; Wang K; Zhang L
    Front Oncol; 2022; 12():836098. PubMed ID: 35433451
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics Analysis of PET and CT Components of
    Wang X; Lu Z
    Front Oncol; 2021; 11():638124. PubMed ID: 33928029
    [TBL] [Abstract][Full Text] [Related]  

  • 25. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.
    Wang Y; Liu W; Yu Y; Liu JJ; Xue HD; Qi YF; Lei J; Yu JC; Jin ZY
    Eur Radiol; 2020 Feb; 30(2):976-986. PubMed ID: 31468157
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.
    Tian P; He B; Mu W; Liu K; Liu L; Zeng H; Liu Y; Jiang L; Zhou P; Huang Z; Dong D; Li W
    Theranostics; 2021; 11(5):2098-2107. PubMed ID: 33500713
    [No Abstract]   [Full Text] [Related]  

  • 28. A novel copper-induced cell death-related lncRNA prognostic signature associated with immune infiltration and clinical value in gastric cancer.
    Wang L; Xiao K; Dong Z; Meng T; Cheng X; Xu Y
    J Cancer Res Clin Oncol; 2023 Sep; 149(12):10543-10559. PubMed ID: 37291405
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB-IV NSCLC (LCDigital-IO Study): a multicenter retrospective study.
    Wu S; Zhan W; Liu L; Xie D; Yao L; Yao H; Liao G; Huang L; Zhou Y; You P; Huang Z; Li Q; Xu B; Wang S; Wang G; Zhang DK; Qiao G; Chan LW; Lanuti M; Zhou H
    J Immunother Cancer; 2023 Oct; 11(10):. PubMed ID: 37865396
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning.
    Ge HT; Chen JW; Wang LL; Zou TX; Zheng B; Liu YF; Xue YJ; Lin WW
    World J Gastroenterol; 2024 Feb; 30(6):542-555. PubMed ID: 38463023
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study.
    Xie W; Jiang Z; Zhou X; Zhang X; Zhang M; Liu R; Zheng L; Xin F; Lu Y; Wang D
    Acad Radiol; 2023 Jul; 30(7):1317-1328. PubMed ID: 36369191
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
    Du Y; Cai M; Zha H; Chen B; Gu J; Zhang M; Liu W; Liu X; Liu X; Zong M; Li C
    Eur Radiol; 2024 Jan; 34(1):136-148. PubMed ID: 37518678
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Efficacy and prognostic value of delta radiomics on dual-energy computed tomography for gastric cancer with neoadjuvant chemotherapy: a preliminary study.
    Wang L; Chen Y; Tan J; Ge Y; Xu Z; Wels M; Pan Z
    Acta Radiol; 2023 Apr; 64(4):1311-1321. PubMed ID: 36062762
    [TBL] [Abstract][Full Text] [Related]  

  • 34. CT-based radiomics nomograms for preoperative prediction of diffuse-type and signet ring cell gastric cancer: a multicenter development and validation cohort.
    Chen T; Wu J; Cui C; He Q; Li X; Liang W; Liu X; Liu T; Zhou X; Zhang X; Lei X; Xiong W; Yu J; Li G
    J Transl Med; 2022 Jan; 20(1):38. PubMed ID: 35073917
    [TBL] [Abstract][Full Text] [Related]  

  • 35. CT Radiomics to Predict Macrotrabecular-Massive Subtype and Immune Status in Hepatocellular Carcinoma.
    Feng Z; Li H; Liu Q; Duan J; Zhou W; Yu X; Chen Q; Liu Z; Wang W; Rong P
    Radiology; 2023 Apr; 307(1):e221291. PubMed ID: 36511807
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Association of Tumor-Associated Collagen Signature With Prognosis and Adjuvant Chemotherapy Benefits in Patients With Gastric Cancer.
    Chen D; Chen H; Chi L; Fu M; Wang G; Wu Z; Xu S; Sun C; Xu X; Lin L; Cheng J; Jiang W; Dong X; Lu J; Zheng J; Chen G; Li G; Zhuo S; Yan J
    JAMA Netw Open; 2021 Nov; 4(11):e2136388. PubMed ID: 34846524
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
    Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
    J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Association of Survival and Immune-Related Biomarkers With Immunotherapy in Patients With Non-Small Cell Lung Cancer: A Meta-analysis and Individual Patient-Level Analysis.
    Yu Y; Zeng D; Ou Q; Liu S; Li A; Chen Y; Lin D; Gao Q; Zhou H; Liao W; Yao H
    JAMA Netw Open; 2019 Jul; 2(7):e196879. PubMed ID: 31290993
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting PD-L1 expression status in patients with non-small cell lung cancer using [
    Zhao X; Zhao Y; Zhang J; Zhang Z; Liu L; Zhao X
    EJNMMI Res; 2023 Jan; 13(1):4. PubMed ID: 36682020
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.
    Mu W; Jiang L; Shi Y; Tunali I; Gray JE; Katsoulakis E; Tian J; Gillies RJ; Schabath MB
    J Immunother Cancer; 2021 Jun; 9(6):. PubMed ID: 34135101
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.