165 related articles for article (PubMed ID: 36043607)
1. Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.
Magudia K; Bridge CP; Bay CP; Farah S; Babic A; Fintelmann FJ; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
AJR Am J Roentgenol; 2023 Feb; 220(2):236-244. PubMed ID: 36043607
[No Abstract] [Full Text] [Related]
2. Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
Magudia K; Bridge CP; Bay CP; Babic A; Fintelmann FJ; Troschel FM; Miskin N; Wrobel WC; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
Radiology; 2021 Feb; 298(2):319-329. PubMed ID: 33231527
[TBL] [Abstract][Full Text] [Related]
3. Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.
Lee MH; Pickhardt SG; Garrett JW; Perez AA; Zea R; Valle KF; Lubner MG; Bates DDB; Summers RM; Pickhardt PJ
AJR Am J Roentgenol; 2023 Mar; 220(3):371-380. PubMed ID: 36000663
[No Abstract] [Full Text] [Related]
4. Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.
Pickhardt PJ; Graffy PM; Zea R; Lee SJ; Liu J; Sandfort V; Summers RM
Lancet Digit Health; 2020 Apr; 2(4):e192-e200. PubMed ID: 32864598
[TBL] [Abstract][Full Text] [Related]
5. Fully Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes.
Pickhardt PJ; Perez AA; Garrett JW; Graffy PM; Zea R; Summers RM
AJR Am J Roentgenol; 2022 Jan; 218(1):124-131. PubMed ID: 34406056
[No Abstract] [Full Text] [Related]
6. Visceral adiposity and inflammatory bowel disease.
Rowan CR; McManus J; Boland K; O'Toole A
Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
[TBL] [Abstract][Full Text] [Related]
7. Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes.
Lee MH; Zea R; Garrett JW; Graffy PM; Summers RM; Pickhardt PJ
Radiology; 2023 Feb; 306(2):e220574. PubMed ID: 36165792
[TBL] [Abstract][Full Text] [Related]
8. Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis.
Somasundaram E; Castiglione JA; Brady SL; Trout AT
AJR Am J Roentgenol; 2022 Aug; 219(2):326-336. PubMed ID: 35234481
[No Abstract] [Full Text] [Related]
9. CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.
Ibad HA; Hathaway QA; Bluemke DA; Kasaeian A; Klein JG; Budoff MJ; Barr RG; Allison M; Post WS; Lima JAC; Demehri S
Eur Radiol; 2024 Jun; 34(6):4163-4175. PubMed ID: 37951855
[TBL] [Abstract][Full Text] [Related]
10. AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults.
Nachit M; Horsmans Y; Summers RM; Leclercq IA; Pickhardt PJ
Radiology; 2023 Jun; 307(5):e222008. PubMed ID: 37191484
[TBL] [Abstract][Full Text] [Related]
11. Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.
Tallam H; Elton DC; Lee S; Wakim P; Pickhardt PJ; Summers RM
Radiology; 2022 Jul; 304(1):85-95. PubMed ID: 35380492
[TBL] [Abstract][Full Text] [Related]
12. Body Composition and Cardiovascular Events in Patients With Colorectal Cancer: A Population-Based Retrospective Cohort Study.
Brown JC; Caan BJ; Prado CM; Weltzien E; Xiao J; Cespedes Feliciano EM; Kroenke CH; Meyerhardt JA
JAMA Oncol; 2019 Jul; 5(7):967-972. PubMed ID: 31095251
[TBL] [Abstract][Full Text] [Related]
13. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial.
Lenchik L; Barnard R; Boutin RD; Kritchevsky SB; Chen H; Tan J; Cawthon PM; Weaver AA; Hsu FC
J Gerontol A Biol Sci Med Sci; 2021 Jan; 76(2):277-285. PubMed ID: 32504466
[TBL] [Abstract][Full Text] [Related]
14. Utilizing Fully Automated Abdominal CT-Based Biomarkers for Opportunistic Screening for Metabolic Syndrome in Adults Without Symptoms.
Pickhardt PJ; Graffy PM; Zea R; Lee SJ; Liu J; Sandfort V; Summers RM
AJR Am J Roentgenol; 2021 Jan; 216(1):85-92. PubMed ID: 32603223
[TBL] [Abstract][Full Text] [Related]
15. Association Between Fat Depletion and Prognosis of Amyotrophic Lateral Sclerosis: CT-Based Body Composition Analysis.
Choi SJ; Yoon SH; Sung JJ; Lee JH
Ann Neurol; 2023 Dec; 94(6):1116-1125. PubMed ID: 37612833
[TBL] [Abstract][Full Text] [Related]
16. Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach.
Jung M; Diallo TD; Scheef T; Reisert M; Rau A; Russe MF; Bamberg F; Fichtner-Feigl S; Quante M; Weiss J
JCO Clin Cancer Inform; 2024 Apr; 8():e2300231. PubMed ID: 38588476
[TBL] [Abstract][Full Text] [Related]
17. Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects.
Tram NK; Chou TH; Janse SA; Bobbey AJ; Audino AN; Onofrey JA; Stacy MR
Eur Radiol; 2023 Sep; 33(9):6599-6607. PubMed ID: 36988714
[TBL] [Abstract][Full Text] [Related]
18. Measuring visceral fat, subcutaneous fat and skeletal muscle area changes by computed tomography in acute pancreatitis: a retrospective, single-centre study.
Brewster DJ; Strauss BJ; Crozier TM
Crit Care Resusc; 2014 Mar; 16(1):42-7. PubMed ID: 24588435
[TBL] [Abstract][Full Text] [Related]
19. Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.
Blanc-Durand P; Campedel L; Mule S; Jegou S; Luciani A; Pigneur F; Itti E
Eur Radiol; 2020 Jun; 30(6):3528-3537. PubMed ID: 32055950
[TBL] [Abstract][Full Text] [Related]
20. Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.
Nowak S; Faron A; Luetkens JA; Geißler HL; Praktiknjo M; Block W; Thomas D; Sprinkart AM
Invest Radiol; 2020 Jun; 55(6):357-366. PubMed ID: 32369318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
