BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 37368228)

  • 21. MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers.
    Jian J; Li Y; Pickhardt PJ; Xia W; He Z; Zhang R; Zhao S; Zhao X; Cai S; Zhang J; Zhang G; Jiang J; Zhang Y; Wang K; Lin G; Feng F; Wu X; Gao X; Qiang J
    Eur Radiol; 2021 Jan; 31(1):403-410. PubMed ID: 32743768
    [TBL] [Abstract][Full Text] [Related]  

  • 22. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Diagnostic value of integrated ¹⁸F-fluoro-2-deoxyglucose positron emission tomography/computed tomography in recurrent epithelial ovarian cancer: accuracy of patient selection for secondary cytoreduction in 134 patients.
    Lee YJ; Kim YM; Jung PS; Lee JJ; Kim JK; Kim YT; Nam JH
    J Gynecol Oncol; 2018 May; 29(3):e36. PubMed ID: 29400023
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Incorporating SULF1 polymorphisms in a pretreatment CT-based radiomic model for predicting platinum resistance in ovarian cancer treatment.
    Yi X; Liu Y; Zhou B; Xiang W; Deng A; Fu Y; Zhao Y; Ouyang Q; Liu Y; Sun Z; Zhang K; Li X; Zeng F; Zhou H; Chen BT
    Biomed Pharmacother; 2021 Jan; 133():111013. PubMed ID: 33227705
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting.
    Uhlig A; Uhlig J; Leha A; Biggemann L; Bachanek S; Stöckle M; Reichert M; Lotz J; Zeuschner P; Maßmann A
    Eur Radiol; 2024 Apr; ():. PubMed ID: 38634876
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.
    Zhuang Z; Liu Z; Li J; Wang X; Xie P; Xiong F; Hu J; Meng X; Huang M; Deng Y; Lan P; Yu H; Luo Y
    J Transl Med; 2021 Jun; 19(1):256. PubMed ID: 34112180
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Application of enhanced computed tomography-based radiomics nomogram analysis to differentiate metastatic ovarian tumors from epithelial ovarian tumors.
    Zhang A; Hu Q; Ma Z; Song J; Chen T
    J Xray Sci Technol; 2022; 30(6):1185-1199. PubMed ID: 36189526
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer.
    Zhu X; Dong D; Chen Z; Fang M; Zhang L; Song J; Yu D; Zang Y; Liu Z; Shi J; Tian J
    Eur Radiol; 2018 Jul; 28(7):2772-2778. PubMed ID: 29450713
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identifying pathological subtypes of non-small-cell lung cancer by using the radiomic features of
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    Transl Cancer Res; 2019 Sep; 8(5):1741-1749. PubMed ID: 35116924
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Radiomic model to predict the expression of PD-1 and overall survival of patients with ovarian cancer.
    Gao L; Jiang W; Yue Q; Ye R; Li Y; Hong J; Zhang M
    Int Immunopharmacol; 2022 Dec; 113(Pt A):109335. PubMed ID: 36279669
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Pretreatment
    Dissaux G; Visvikis D; Da-Ano R; Pradier O; Chajon E; Barillot I; Duvergé L; Masson I; Abgral R; Santiago Ribeiro MJ; Devillers A; Pallardy A; Fleury V; Mahé MA; De Crevoisier R; Hatt M; Schick U
    J Nucl Med; 2020 Jun; 61(6):814-820. PubMed ID: 31732678
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer.
    Wang XX; Ding Y; Wang SW; Dong D; Li HL; Chen J; Hu H; Lu C; Tian J; Shan XH
    Cancer Imaging; 2020 Nov; 20(1):83. PubMed ID: 33228815
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Ultrasound-based radiomics for predicting different pathological subtypes of epithelial ovarian cancer before surgery.
    Tang ZP; Ma Z; He Y; Liu RC; Jin BB; Wen DY; Wen R; Yin HH; Qiu CC; Gao RZ; Ma Y; Yang H
    BMC Med Imaging; 2022 Aug; 22(1):147. PubMed ID: 35996097
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identifying high-risk colon cancer on CT an a radiomics signature improve radiologist's performance for T staging?
    Hong EK; Bodalal Z; Landolfi F; Bogveradze N; Bos P; Park SJ; Lee JM; Beets-Tan R
    Abdom Radiol (NY); 2022 Aug; 47(8):2739-2746. PubMed ID: 35661244
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
    Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
    Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
    Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
    Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation.
    Jiang Y; Li W; Huang C; Tian C; Chen Q; Zeng X; Cao Y; Chen Y; Yang Y; Liu H; Bo Y; Luo C; Li Y; Zhang T; Wang R
    Front Oncol; 2020; 10():909. PubMed ID: 32850304
    [No Abstract]   [Full Text] [Related]  

  • 39. Machine-learning-based contrast-enhanced computed tomography radiomic analysis for categorization of ovarian tumors.
    Li J; Zhang T; Ma J; Zhang N; Zhang Z; Ye Z
    Front Oncol; 2022; 12():934735. PubMed ID: 36016613
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.