145 related articles for article (PubMed ID: 37017644)
1. Automated whole-volume measurement of CT fat fraction of the pancreas: correlation with Dixon MR imaging.
Tanabe M; Higashi M; Tanabe M; Kawano Y; Inoue A; Narikiyo K; Kobayashi T; Ueda T; Ito K
Br J Radiol; 2023 Jun; 96(1146):20220937. PubMed ID: 37017644
[TBL] [Abstract][Full Text] [Related]
2. Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging.
Kameda F; Tanabe M; Onoda H; Higashi M; Ariyoshi S; Ihara K; Iida E; Furukawa M; Okada M; Ito K
Abdom Radiol (NY); 2020 Sep; 45(9):2779-2785. PubMed ID: 32430511
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.
Janssens LP; Takahashi H; Nagayama H; Nugen F; Bamlet WR; Oberg AL; Fuemmeler E; Goenka AH; Erickson BJ; Takahashi N; Majumder S
Pancreatology; 2023 Aug; 23(5):556-562. PubMed ID: 37193618
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of fatty pancreas by proton density fat fraction using 3-T magnetic resonance imaging and its association with pancreatic cancer.
Fukui H; Hori M; Fukuda Y; Onishi H; Nakamoto A; Ota T; Ogawa K; Ninomiya K; Tatsumi M; Osuga K; Yamada D; Eguchi H; Miyoshi E; Tomiyama N
Eur J Radiol; 2019 Sep; 118():25-31. PubMed ID: 31439250
[TBL] [Abstract][Full Text] [Related]
5. Pancreatic Steatosis Evaluated by Automated Volumetric CT Fat Fraction of the Pancreas: Association with Severity in COVID-19 Pneumonia.
Tanabe M; Kunihiro Y; Higashi M; Ihara K; Tanabe M; Yagi T; Kobayashi T; Ueda T; Ito K
Tomography; 2022 Nov; 8(6):2806-2814. PubMed ID: 36548526
[TBL] [Abstract][Full Text] [Related]
6. Fat quantification of the rotator cuff muscles using CT histogram analysis in comparison with Dixon MRI sequence.
Oh J; Yoo HJ; Chae HD; Choi JY; Hong SH
Br J Radiol; 2023 Oct; 96(1150):20220817. PubMed ID: 37660371
[TBL] [Abstract][Full Text] [Related]
7. Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer.
Wang X; Pan X; Zhou W; Jing Z; Yu F; Wang Y; Zeng J; Wu J; Zeng X; Zhang J
J Comput Assist Tomogr; 2024 Jan-Feb 01; 48(1):64-71. PubMed ID: 37558648
[TBL] [Abstract][Full Text] [Related]
8. Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Experimental Validation.
Hyodo T; Hori M; Lamb P; Sasaki K; Wakayama T; Chiba Y; Mochizuki T; Murakami T
Radiology; 2017 Feb; 282(2):381-389. PubMed ID: 27541687
[TBL] [Abstract][Full Text] [Related]
9. Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard.
Pickhardt PJ; Blake GM; Graffy PM; Sandfort V; Elton DC; Perez AA; Summers RM
AJR Am J Roentgenol; 2021 Aug; 217(2):359-367. PubMed ID: 32936018
[No Abstract] [Full Text] [Related]
10. Pancreas fat quantification with quantitative CT: an MRI correlation analysis.
Yao WJ; Guo Z; Wang L; Li K; Saba L; Guglielmi G; Cheng XG; Brown JK; Blake GM; Liu B
Clin Radiol; 2020 May; 75(5):397.e1-397.e6. PubMed ID: 31992455
[TBL] [Abstract][Full Text] [Related]
11. Hepatic Fat Quantification with the Multi-Material Decomposition Algorithm by Using Low-Dose Non-Contrast Material-Enhanced Dual-Energy Computed Tomography in a Prospectively Enrolled Cohort.
Hong SB; Lee NK; Kim S; Um K; Kim K; Kim IJ
Medicina (Kaunas); 2022 Oct; 58(10):. PubMed ID: 36295617
[TBL] [Abstract][Full Text] [Related]
12. Three-dimensional analysis of pancreatic fat by fat-water magnetic resonance imaging provides detailed characterization of pancreatic steatosis with improved reproducibility.
Kato S; Iwasaki A; Kurita Y; Arimoto J; Yamamoto T; Hasegawa S; Sato T; Imajo K; Hosono K; Kobayashi N; Yoneda M; Higurashi T; Kubota K; Utsunomiya D; Nakajima A
PLoS One; 2019; 14(12):e0224921. PubMed ID: 31790429
[TBL] [Abstract][Full Text] [Related]
13. Liver Fat Content Measurement with Quantitative CT Validated against MRI Proton Density Fat Fraction: A Prospective Study of 400 Healthy Volunteers.
Guo Z; Blake GM; Li K; Liang W; Zhang W; Zhang Y; Xu L; Wang L; Brown JK; Cheng X; Pickhardt PJ
Radiology; 2020 Jan; 294(1):89-97. PubMed ID: 31687918
[TBL] [Abstract][Full Text] [Related]
14. Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.
Zhang G; Zhan Q; Gao Q; Mao K; Yang P; Gao Y; Wang L; Song B; Chen Y; Bian Y; Shao C; Lu J; Ma C
Comput Biol Med; 2024 Mar; 170():107989. PubMed ID: 38286105
[TBL] [Abstract][Full Text] [Related]
15. Correlation between incidental fat deposition in the liver and pancreas in asymptomatic individuals.
Aliyari Ghasabeh M; Shaghaghi M; Khoshpouri P; Pan L; Pandy A; Pandy P; Zhong X; Kannengiesser S; Kamel IR
Abdom Radiol (NY); 2020 Jan; 45(1):203-210. PubMed ID: 31482380
[TBL] [Abstract][Full Text] [Related]
16. Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence aided image segmentation: Associations with body composition and pancreatic cancer risk.
Janssens LP; Weston AD; Singh D; Spears G; Harmsen WS; Takahashi N; Philbrick KA; Erickson BJ; Abu Dayyeh BK; Chari ST; Chandrasekhara V; Gleeson FC; Levy MJ; Pearson RK; Petersen BT; Vege SS; Majumder S
Pancreatology; 2021 Dec; 21(8):1524-1530. PubMed ID: 34507900
[TBL] [Abstract][Full Text] [Related]
17. Validation of a DIXON-based fat quantification technique for the measurement of visceral fat using a CT-based reference standard.
Heckman KM; Otemuyiwa B; Chenevert TL; Malyarenko D; Derstine BA; Wang SC; Davenport MS
Abdom Radiol (NY); 2019 Jan; 44(1):346-354. PubMed ID: 29946923
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. The Feasibility of Magnetic Resonance Imaging for Quantification of Liver, Pancreas, Spleen, Vertebral Bone Marrow, and Renal Cortex R2* and Proton Density Fat Fraction in Transfusion-Related Iron Overload.
İdilman İS; Gümrük F; Haliloğlu M; Karçaaltıncaba M
Turk J Haematol; 2016 Mar; 33(1):21-7. PubMed ID: 26376710
[TBL] [Abstract][Full Text] [Related]
20. Quantification of pancreatic proton density fat fraction in diabetic pigs using MR imaging and IDEAL-IQ sequence.
Chen Y; Long L; Jiang Z; Zhang L; Zhong D; Huang X
BMC Med Imaging; 2019 May; 19(1):38. PubMed ID: 31088378
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]