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Jiang Z, Sun W, Xu D, Yu H, Mei H, Song X, Xu H. Stability and repeatability of diffusion-weighted imaging (DWI) of normal pancreas on 5.0 Tesla magnetic resonance imaging (MRI). Sci Rep 2023; 13:11954. [PMID: 37488151 PMCID: PMC10366139 DOI: 10.1038/s41598-023-38360-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023] Open
Abstract
To explore the stability and repeatability of diffusion-weighted imaging (DWI) of normal pancreas with different field of views (FOV) on 5.0 T magnetic resonance imaging (MRI) system. Twenty healthy subjects underwent two sessions of large FOV (lFOV) and reduced FOV (rFOV) DWI sequence scanning. Two radiologists measured the apparent diffusion coefficient (ADC) values and the signal-to-noise ratio (SNR) of the pancreatic head, body, and tail on DWI images, simultaneously, using a 5-point scale, evaluate the artifacts and image quality. One radiologist re-measured the ADC on DWI images again after a 4-week interval. The test-retest repeatability of two scan sessions were also evaluated. Intra-observer and inter-observer at lFOV and rFOV, the ADC values were not significantly different (P > 0.05), intraclass correlation coefficients (ICCs) and coefficient of variations were excellence (ICCs 0.85-0.99, CVs < 8.0%). The ADC values were lower with rFOV than lFOV DWI for the head, body, tail, and overall pancreas. The consistency of the two scan sessions were high. The high stability and repeatability of pancreas DWI has been confirmed at 5.0 T. Scan durations are reduced while resolution and image quality are improved with rFOV DWI, which is more preferable than lFOV for routine pancreas imaging.
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Affiliation(s)
- Zhiyong Jiang
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China
| | - Wenbo Sun
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China
| | - Dan Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China
| | - Hao Yu
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China
| | - Hao Mei
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China
| | - Xiaopeng Song
- United Imaging Healthcare, Shanghai, China.
- Wuhan Zhongke Industrial Research Institute of Medical Science, Wuhan, Hubei, China.
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, 169 Donghu Rd, Wuchang District, Wuhan, Hubei, China.
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Taron J, Martirosian P, Kuestner T, Schwenzer NF, Othman A, Weiß J, Notohamiprodjo M, Nikolaou K, Schraml C. Scan time reduction in diffusion-weighted imaging of the pancreas using a simultaneous multislice technique with different acceleration factors: How fast can we go? Eur Radiol 2017; 28:1504-1511. [DOI: 10.1007/s00330-017-5132-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 09/12/2017] [Accepted: 10/11/2017] [Indexed: 12/13/2022]
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PET-MRI of the Pancreas and Kidneys. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0229-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Baliyan V, Das CJ, Sharma R, Gupta AK. Diffusion weighted imaging: Technique and applications. World J Radiol 2016; 8:785-798. [PMID: 27721941 PMCID: PMC5039674 DOI: 10.4329/wjr.v8.i9.785] [Citation(s) in RCA: 200] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Revised: 06/11/2016] [Accepted: 08/15/2016] [Indexed: 02/06/2023] Open
Abstract
Diffusion weighted imaging (DWI) is a method of signal contrast generation based on the differences in Brownian motion. DWI is a method to evaluate the molecular function and micro-architecture of the human body. DWI signal contrast can be quantified by apparent diffusion coefficient maps and it acts as a tool for treatment response evaluation and assessment of disease progression. Ability to detect and quantify the anisotropy of diffusion leads to a new paradigm called diffusion tensor imaging (DTI). DTI is a tool for assessment of the organs with highly organised fibre structure. DWI forms an integral part of modern state-of-art magnetic resonance imaging and is indispensable in neuroimaging and oncology. DWI is a field that has been undergoing rapid technical evolution and its applications are increasing every day. This review article provides insights in to the evolution of DWI as a new imaging paradigm and provides a summary of current role of DWI in various disease processes.
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