BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 36043607)

  • 21. Association between body fat decrease during the first year after diagnosis and the prognosis of idiopathic pulmonary fibrosis: CT-based body composition analysis.
    Lee JY; Yoon SH; Goo JM; Park J; Lee JH
    Respir Res; 2024 Feb; 25(1):103. PubMed ID: 38418966
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Association of abdominal fat distribution by computed tomography with body mass index and metabolic syndrome in Chinese elders].
    Wang C; Wang X; Tian H; Fang F; Han X
    Zhonghua Yi Xue Za Zhi; 2014 Apr; 94(12):908-12. PubMed ID: 24854910
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival.
    Anyene I; Caan B; Williams GR; Popuri K; Lenchik L; Giri S; Chow V; Beg MF; Cespedes Feliciano EM
    J Cachexia Sarcopenia Muscle; 2022 Dec; 13(6):2974-2984. PubMed ID: 36052755
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep learning-based fully automated body composition analysis of thigh CT: comparison with DXA measurement.
    Yoo HJ; Kim YJ; Hong H; Hong SH; Chae HD; Choi JY
    Eur Radiol; 2022 Nov; 32(11):7601-7611. PubMed ID: 35435440
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Technical Adequacy of Fully Automated Artificial Intelligence Body Composition Tools: Assessment in a Heterogeneous Sample of External CT Examinations.
    Pooler BD; Garrett JW; Southard AM; Summers RM; Pickhardt PJ
    AJR Am J Roentgenol; 2023 Jul; 221(1):124-134. PubMed ID: 37095663
    [No Abstract]   [Full Text] [Related]  

  • 26. Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.
    Zopfs D; Bousabarah K; Lennartz S; Santos DPD; Schlaak M; Theurich S; Reimer RP; Maintz D; Haneder S; Große Hokamp N
    Eur J Radiol; 2020 Sep; 130():109153. PubMed ID: 32717577
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort.
    Graffy PM; Summers RM; Perez AA; Sandfort V; Zea R; Pickhardt PJ
    Abdom Radiol (NY); 2021 Jun; 46(6):2976-2984. PubMed ID: 33388896
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study.
    Zambrano Chaves JM; Lenchik L; Gallegos IO; Blankemeier L; Liang T; Rubin DL; Willis MH; Chaudhari AS; Boutin RD
    EBioMedicine; 2024 May; 103():105116. PubMed ID: 38636199
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network.
    Lee SB; Cho YJ; Yoon SH; Lee YY; Kim SH; Lee S; Choi YH; Cheon JE
    Eur Radiol; 2022 Dec; 32(12):8463-8472. PubMed ID: 35524785
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer.
    Keyl J; Hosch R; Berger A; Ester O; Greiner T; Bogner S; Treckmann J; Ting S; Schumacher B; Albers D; Markus P; Wiesweg M; Forsting M; Nensa F; Schuler M; Kasper S; Kleesiek J
    J Cachexia Sarcopenia Muscle; 2023 Feb; 14(1):545-552. PubMed ID: 36544260
    [TBL] [Abstract][Full Text] [Related]  

  • 31. End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT.
    Nowak S; Theis M; Wichtmann BD; Faron A; Froelich MF; Tollens F; Geißler HL; Block W; Luetkens JA; Attenberger UI; Sprinkart AM
    Eur Radiol; 2022 May; 32(5):3142-3151. PubMed ID: 34595539
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
    Weikert T; Rapaka S; Grbic S; Re T; Chaganti S; Winkel DJ; Anastasopoulos C; Niemann T; Wiggli BJ; Bremerich J; Twerenbold R; Sommer G; Comaniciu D; Sauter AW
    Korean J Radiol; 2021 Jun; 22(6):994-1004. PubMed ID: 33686818
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Short sleep duration in association with CT-scanned abdominal fat areas: the Hitachi Health Study.
    Yi S; Nakagawa T; Yamamoto S; Mizoue T; Takahashi Y; Noda M; Matsushita Y
    Int J Obes (Lond); 2013 Jan; 37(1):129-34. PubMed ID: 22349574
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.
    Miao S; Jia H; Huang W; Cheng K; Zhou W; Wang R
    Cancer Biomark; 2024; 39(3):171-185. PubMed ID: 38043007
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
    Weston AD; Korfiatis P; Kline TL; Philbrick KA; Kostandy P; Sakinis T; Sugimoto M; Takahashi N; Erickson BJ
    Radiology; 2019 Mar; 290(3):669-679. PubMed ID: 30526356
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Association between visceral fat and osteoporotic vertebral compression refractures.
    Zhang P; Lin C; Chen M; He Y; Yan X; Lai J; Fan S; Li S; Teng H
    Nutrition; 2022; 103-104():111808. PubMed ID: 36063722
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Changes of computed tomography-based body composition after adrenalectomy in patients with endogenous hypercortisolism.
    Hong N; Lee J; Ku CR; Han K; Lee CR; Kang SW; Rhee Y
    Clin Endocrinol (Oxf); 2019 Feb; 90(2):267-276. PubMed ID: 30428502
    [TBL] [Abstract][Full Text] [Related]  

  • 38. AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals.
    Lee MH; Zea R; Garrett JW; Summers RM; Pickhardt PJ
    Abdom Radiol (NY); 2024 Apr; 49(4):1330-1340. PubMed ID: 38280049
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparing fully automated AI body composition measures derived from thin and thick slice CT image data.
    Lee MH; Liu D; Garrett JW; Perez A; Zea R; Summers RM; Pickhardt PJ
    Abdom Radiol (NY); 2024 Mar; 49(3):985-996. PubMed ID: 38158424
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.
    Graffy PM; Sandfort V; Summers RM; Pickhardt PJ
    Radiology; 2019 Nov; 293(2):334-342. PubMed ID: 31526254
    [TBL] [Abstract][Full Text] [Related]  

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