199 related articles for article (PubMed ID: 26995675)
1. Computed tomography: What and how does it measure?
Mazonakis M; Damilakis J
Eur J Radiol; 2016 Aug; 85(8):1499-504. PubMed ID: 26995675
[TBL] [Abstract][Full Text] [Related]
2. Composition of skeletal muscle evaluated with computed tomography.
Goodpaster BH; Thaete FL; Kelley DE
Ann N Y Acad Sci; 2000 May; 904():18-24. PubMed ID: 10865705
[TBL] [Abstract][Full Text] [Related]
3. Quantification of Adipose Tissue and Muscle Mass Based on Computed Tomography Scans: Comparison of Eight Planimetric and Diametric Techniques Including a Step-By-Step Guide.
Irlbeck T; Janitza S; Poros B; Golebiewski M; Frey L; Paprottka PM; da Silva T; Irlbeck M; Böcker W; Weig T
Eur Surg Res; 2018; 59(1-2):23-34. PubMed ID: 29393202
[TBL] [Abstract][Full Text] [Related]
4. Body composition evaluation with computed tomography: Contrast media and slice thickness cause methodological errors.
Morsbach F; Zhang YH; Martin L; Lindqvist C; Brismar T
Nutrition; 2019 Mar; 59():50-55. PubMed ID: 30419500
[TBL] [Abstract][Full Text] [Related]
5. Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Paris MT; Tandon P; Heyland DK; Furberg H; Premji T; Low G; Mourtzakis M
Clin Nutr; 2020 Oct; 39(10):3049-3055. PubMed ID: 32007318
[TBL] [Abstract][Full Text] [Related]
6. Rapid in vivo whole body composition of rats using cone beam μCT.
Granton PV; Norley CJ; Umoh J; Turley EA; Frier BC; Noble EG; Holdsworth DW
J Appl Physiol (1985); 2010 Oct; 109(4):1162-9. PubMed ID: 20689087
[TBL] [Abstract][Full Text] [Related]
7. Quantification of body composition in renal cell carcinoma patients: Comparing computed tomography and magnetic resonance imaging measurements.
Higgins MI; Martini DJ; Patil DH; Steele S; Evans S; Petrinec BP; Psutka SP; Sekhar A; Bilen MA; Master VA
Eur J Radiol; 2020 Nov; 132():109307. PubMed ID: 33010681
[TBL] [Abstract][Full Text] [Related]
8. Use of prediction equations to determine the accuracy of whole-body fat and fat-free mass and appendicular skeletal muscle mass measurements from a single abdominal image using computed tomography in advanced cancer patients.
Kilgour RD; Cardiff K; Rosenthall L; Lucar E; Trutschnigg B; Vigano A
Appl Physiol Nutr Metab; 2016 Jan; 41(1):70-5. PubMed ID: 26695688
[TBL] [Abstract][Full Text] [Related]
9. Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.
Paris MT
Lifestyle Genom; 2020; 13(1):28-31. PubMed ID: 31822001
[TBL] [Abstract][Full Text] [Related]
10. Validation of Peripheral Quantitative Computed Tomography-Derived Thigh Adipose Tissue Subcompartments in Young Girls Using a 3 T MRI Scanner.
Blew RM; Lee VR; Bea JW; Hetherington-Rauth MC; Galons JP; Altbach MI; Lohman TG; Going SB
J Clin Densitom; 2018; 21(4):583-594. PubMed ID: 29705002
[TBL] [Abstract][Full Text] [Related]
11. Using quantitative CT to assess adipose distribution in adult men with acquired hypogonadism.
Katznelson L; Rosenthal DI; Rosol MS; Anderson EJ; Hayden DL; Schoenfeld DA; Klibanski A
AJR Am J Roentgenol; 1998 Feb; 170(2):423-7. PubMed ID: 9456958
[TBL] [Abstract][Full Text] [Related]
12. Optimization of the composition of phantom materials for computed tomography.
Homolka P; Gahleitner A; Prokop M; Nowotny R
Phys Med Biol; 2002 Aug; 47(16):2907-16. PubMed ID: 12222854
[TBL] [Abstract][Full Text] [Related]
13. Bone-marrow densitometry: Assessment of marrow space of human vertebrae by single energy high resolution-quantitative computed tomography.
Peña JA; Thomsen F; Damm T; Campbell GM; Bastgen J; Barkmann R; Glüer CC
Med Phys; 2016 Jul; 43(7):4174. PubMed ID: 27370137
[TBL] [Abstract][Full Text] [Related]
14. Computed Tomography-Determined Body Composition Abnormalities Usefully Predict Long-term Mortality in Patients With Liver Cirrhosis.
Cho YS; Lee HY; Jeong JY; Lee JG; Kim TY; Nam SW; Sohn JH
J Comput Assist Tomogr; 2021 Sep-Oct 01; 45(5):684-690. PubMed ID: 34407059
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Ackermans LLGC; Volmer L; Wee L; Brecheisen R; Sánchez-González P; Seiffert AP; Gómez EJ; Dekker A; Ten Bosch JA; Olde Damink SMW; Blokhuis TJ
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809710
[TBL] [Abstract][Full Text] [Related]
16. Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle.
Popuri K; Cobzas D; Esfandiari N; Baracos V; Jägersand M
IEEE Trans Med Imaging; 2016 Feb; 35(2):512-20. PubMed ID: 26415164
[TBL] [Abstract][Full Text] [Related]
17. Lean mass as a predictor of bone density and microarchitecture in adult obese individuals with metabolic syndrome.
Madeira E; Mafort TT; Madeira M; Guedes EP; Moreira RO; de Mendonça LM; Lima IC; de Pinho PR; Lopes AJ; Farias ML
Bone; 2014 Feb; 59():89-92. PubMed ID: 24220493
[TBL] [Abstract][Full Text] [Related]
18. Reliability and validity of the new VikingSlice software for computed tomography body composition analysis.
Ozola-Zālīte I; Mark EB; Gudauskas T; Lyadov V; Olesen SS; Drewes AM; Pukitis A; Frokjær JB
Eur J Clin Nutr; 2019 Jan; 73(1):54-61. PubMed ID: 29662230
[TBL] [Abstract][Full Text] [Related]
19. Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study.
Samim A; Spijkers S; Moeskops P; Littooij AS; de Jong PA; Veldhuis WB; de Vos BD; van Santen HM; Nievelstein RAJ
Pediatr Radiol; 2023 Nov; 53(12):2492-2501. PubMed ID: 37640800
[TBL] [Abstract][Full Text] [Related]
20. A Comparison of Peripheral Imaging Technologies for Bone and Muscle Quantification: A Review of Segmentation Techniques.
Wong AKO; Manske SL
J Clin Densitom; 2020; 23(1):92-107. PubMed ID: 29785933
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
