BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

230 related articles for article (PubMed ID: 38504245)

  • 21. Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study.
    Jiang T; Song J; Wang X; Niu S; Zhao N; Dong Y; Wang X; Luo Y; Jiang X
    Mol Imaging Biol; 2022 Aug; 24(4):550-559. PubMed ID: 34904187
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
    Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
    J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
    Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
    Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An integrated model combined intra- and peritumoral regions for predicting chemoradiation response of non small cell lung cancers based on radiomics and deep learning.
    Ma Y; Li Q
    Cancer Radiother; 2023 Dec; 27(8):705-711. PubMed ID: 37932182
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
    Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
    Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.
    Zhang Y; Zhang H; Zhang H; Ouyang Y; Su R; Yang W; Huang B
    J Magn Reson Imaging; 2023 Nov; ():. PubMed ID: 37955154
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma.
    Yu YY; Zhang R; Dong RT; Hu QY; Yu T; Liu F; Luo YH; Dong Y
    Br J Radiol; 2019 May; 92(1097):20180986. PubMed ID: 30888846
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
    Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
    Abdom Radiol (NY); 2024 May; 49(5):1363-1375. PubMed ID: 38305796
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.
    Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B
    J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Intratumoral and Peritumoral Multiparametric MRI-Based Radiomics Signature for Preoperative Prediction of Ki-67 Proliferation Status in Glioblastoma: A Two-Center Study.
    Zhu X; He Y; Wang M; Shu Y; Lai X; Gan C; Liu L
    Acad Radiol; 2024 Apr; 31(4):1560-1571. PubMed ID: 37865602
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development of MRI-Based Deep Learning Signature for Prediction of Axillary Response After NAC in Breast Cancer.
    Zhang B; Yu Y; Mao Y; Wang H; Lv M; Su X; Wang Y; Li Z; Zhang Z; Bian T; Wang Q
    Acad Radiol; 2024 Mar; 31(3):800-811. PubMed ID: 37914627
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.
    Zhang J; Xia L; Liu J; Niu X; Tang J; Xia J; Liu Y; Zhang W; Liang Z; Zhang X; Tang G; Zhang L
    Front Endocrinol (Lausanne); 2024; 15():1370838. PubMed ID: 38606087
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma.
    Yu Y; Fan Y; Wang X; Zhu M; Hu M; Shi C; Hu C
    Eur Radiol; 2022 Feb; 32(2):959-970. PubMed ID: 34480625
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MRI-based deep learning and radiomics for prediction of occult cervical lymph node metastasis and prognosis in early-stage oral and oropharyngeal squamous cell carcinoma: a diagnostic study.
    Lan T; Kuang S; Liang P; Ning C; Li Q; Wang L; Wang Y; Lin Z; Hu H; Yang L; Li J; Liu J; Li Y; Wu F; Chai H; Song X; Huang Y; Duan X; Zeng D; Li J; Cao H
    Int J Surg; 2024 May; ():. PubMed ID: 38729119
    [TBL] [Abstract][Full Text] [Related]  

  • 36. MRI-based radiomics analysis to evaluate the clinicopathological characteristics of cervical carcinoma: a multicenter study.
    Liu Y; Song T; Dong TF; Zhang W; Wen G
    Acta Radiol; 2023 Jan; 64(1):395-403. PubMed ID: 34918963
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
    Yang H; Wang L; Shao G; Dong B; Wang F; Wei Y; Li P; Chen H; Chen W; Zheng Y; He Y; Zhao Y; Du X; Sun X; Wang Z; Wang Y; Zhou X; Lai X; Feng W; Shen L; Qiu G; Ji Y; Chen J; Jiang Y; Liu J; Zeng J; Wang C; Zhao Q; Yang X; Hu X; Ma H; Chen Q; Chen M; Jiang H; Xu Y
    Front Oncol; 2022; 12():967360. PubMed ID: 35982975
    [TBL] [Abstract][Full Text] [Related]  

  • 39. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
    Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
    Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma.
    Xiao ML; Fu L; Wei Y; Liu AE; Cheng JJ; Ma FH; Li HM; Li YA; Lin ZJ; Zhang GF; Qiang JW
    Eur Radiol; 2024 Feb; 34(2):852-862. PubMed ID: 37610442
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.