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Virostko J, Tirkes T. Cross-sectional imaging of the pancreas in diabetes. Abdom Radiol (NY) 2024; 49:2116-2124. [PMID: 38557767 PMCID: PMC11213663 DOI: 10.1007/s00261-024-04310-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/22/2024] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
Diabetes mellitus presents a global health challenge characterized by dysregulated glucose metabolism and insulin resistance. Pancreas dysfunction contributes to the development and progression of diabetes. Cross-sectional imaging modalities have provided new insight into the structural and functional alterations of the pancreas in individuals with diabetes. This review summarizes MRI and CT studies that characterize pancreas alterations in both type 1 and type 2 diabetes and discusses future applications of these techniques.
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Affiliation(s)
- John Virostko
- Department of Diagnostic Medicine, Dell Medical School, University of Texas at Austin, 10 E 24th Street, Austin, TX, 78712, USA.
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA.
| | - Temel Tirkes
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
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2
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Fukukura Y, Kanki A. Quantitative Magnetic Resonance Imaging for the Pancreas: Current Status. Invest Radiol 2024; 59:69-77. [PMID: 37433065 DOI: 10.1097/rli.0000000000001002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
ABSTRACT Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical landmarks play a major role in the interpretation of results. Quantitative MRI is an effective diagnostic modality for various pathologic conditions, as it allows the investigation of various physical parameters. Recent advancements in quantitative MRI techniques have significantly improved the accuracy of pancreatic MRI. Consequently, this method has become an essential tool for the diagnosis, treatment, and monitoring of pancreatic diseases. This comprehensive review article presents the currently available evidence on the clinical utility of quantitative MRI of the pancreas.
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Affiliation(s)
- Yoshihiko Fukukura
- From the Department of Radiology, Kawasaki Medical School, Kurashiki City, Okayama, Japan
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3
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Gündoğdu H, Avcı U, Başaran M, Gürün E. The Role of Diffusion-Weighted Imaging in the Evaluation of Treatment of Newly Diagnosed Type 2 Diabetic Patients. Cureus 2023; 15:e50712. [PMID: 38234946 PMCID: PMC10792595 DOI: 10.7759/cureus.50712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 01/19/2024] Open
Abstract
INTRODUCTION To compare the pre and post-treatment pancreatic apparent diffusion coefficient (ADC) values of type II diabetes patients with control subjects, and also to evaluate its effectiveness in evaluating the response to treatment. METHODS The study included 35 newly diagnosed type 2 diabetic patients and 35 non-diabetic participants, matched for sex and age. Insulin and metformin treatment was given to the patients. Abdominal diffusion-weighted MR imaging was performed before and after the treatment. ADCs of the control group and patients pre and post-treatment were compared. In addition, the clinical parameters of the patients related to diabetes were recorded. RESULTS There was a significant difference between the median pancreatic ADC values of the patients pre and post-treatment. While there was a significant difference between the median pancreatic ADC values of the patient and the control groups before the treatment, no significant difference after the treatment was observed. There was a positive correlation between mean pancreatic ADC values and age, as well as a negative correlation with Hb1Ac level and eGFR. CONCLUSION Pancreatic ADC values of newly diagnosed type II diabetes patients can be used as a marker of pancreatic function in the evaluation of response to treatment and clinical decisions.
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Affiliation(s)
| | - Uğur Avcı
- Endocrinology, Recep Tayyip Erdogan University, Rize, TUR
| | | | - Enes Gürün
- Radiology, Samsun University, Samsun, TUR
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Virostko J. Quantitative Magnetic Resonance Imaging of the Pancreas of Individuals With Diabetes. Front Endocrinol (Lausanne) 2020; 11:592349. [PMID: 33343509 PMCID: PMC7747766 DOI: 10.3389/fendo.2020.592349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/28/2020] [Indexed: 12/11/2022] Open
Abstract
Magnetic resonance imaging (MRI) has the potential to improve our understanding of diabetes and improve both diagnosis and monitoring of the disease. Although the spatial resolution of MRI is insufficient to directly image the endocrine pancreas in people, the increasing awareness that the exocrine pancreas is also involved in diabetes pathogenesis has spurred new MRI applications. These techniques build upon studies of exocrine pancreatic diseases, for which MRI has already developed into a routine clinical tool for diagnosis and monitoring of pancreatic cancer and pancreatitis. By adjusting the imaging contrast and carefully controlling image acquisition and processing, MRI can quantify a variety of tissue pathologies. This review introduces a number of quantitative MRI techniques that have been applied to study the diabetic pancreas, summarizes progress in validating and standardizing each technique, and discusses the need for image analyses that account for spatial heterogeneity in the pancreas.
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Affiliation(s)
- John Virostko
- Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX, United States
- Livestrong Cancer Institutes, University of Texas at Austin, Austin, TX, United States
- Department of Oncology, University of Texas at Austin, Austin, TX, United States
- *Correspondence: John Virostko,
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Yoon JH, Lee JM, Lee KB, Kim D, Kabasawa H, Han JK. Comparison of monoexponential, intravoxel incoherent motion diffusion-weighted imaging and diffusion kurtosis imaging for assessment of hepatic fibrosis. Acta Radiol 2019; 60:1593-1601. [PMID: 30935212 DOI: 10.1177/0284185119840219] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Jeong Hee Yoon
- Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- College of Medicine, Seoul, Republic of Korea
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Kyung Bun Lee
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dongeun Kim
- GE Healthcare Korea, Seoul, Republic of Korea
| | | | - Joon Koo Han
- Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- College of Medicine, Seoul, Republic of Korea
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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6
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Chen Y, Jiang Z, Long L, Miu Y, Zhang L, Zhong D, Tang Q. Magnetic resonance imaging: Proton density fat fraction for assessment of pancreatic fatty infiltration during progression of T2DM bama minipigs. J Magn Reson Imaging 2019; 50:1905-1913. [PMID: 31006935 DOI: 10.1002/jmri.26754] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 04/03/2019] [Accepted: 04/03/2019] [Indexed: 12/15/2022] Open
Affiliation(s)
- Yidi Chen
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Zijian Jiang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Liling Long
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Yongjian Miu
- First Affiliated Hospital of Guangxi Medical UniversityPathology Department Guangxi China
| | - Ling Zhang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Delin Zhong
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Qin Tang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
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Rebours V, Garteiser P, Ribeiro-Parenti L, Cavin JB, Doblas S, Pagé G, Bado A, Couvineau A, Ruszniewski P, Paradis V, Le Gall M, Van Beers BE, Couvelard A. Obesity-induced pancreatopathy in rats is reversible after bariatric surgery. Sci Rep 2018; 8:16295. [PMID: 30390093 PMCID: PMC6214994 DOI: 10.1038/s41598-018-34515-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 10/19/2018] [Indexed: 02/08/2023] Open
Abstract
Obesity is a risk factor for pancreatic diseases. Bariatric surgery is one of the most efficient treatments of morbid obesity. The aims were to assess pancreatic endocrine and exocrine lesions in obese rats, to analyze effects of bariatric surgery. Sixty-three male Wistar rats were included in five groups: 2 fed with high fat diet (HFD) or normal diet for 3 months, 2 fed with HFD or normal diet for 6 months; 1 group fed with HFD and undergoing bariatric surgery (n = 30). Quantitative MR imaging was performed in HFD6, ND6 and HFD3-BS. Pancreas specimens were analyzed after sacrifice for adipocyte infiltration, fibrosis, acinar-ductal metaplasia, abnormality of Langerhans islets (HHF: hypertrophy, hypervascularisation, fibrosis), and hemosiderin deposits in acinar or endocrine locations. We found that HFD6 rats had more fibro-inflammatory islets (P = 0.0139) and acinar-ducal metaplasia (P = 0.0843) than HFD3 rats. Rats with HFD3+6 had more fibro-inflammatory islets (P < 0.0001), hemosiderin deposits (p < 0.0001), fat infiltration (P = 0.0008) and acinar-ductal metaplasia lesions (P = 0.0424). Weight increase was associated with glycoregulation abnormalities (r = 0.44, P = 0.08) and adipocyte infiltrations (P = 0.009). After surgery, less fibro-inflammatory islets (P = 0.0004), fat and iron infiltrates (P = 0.005 and P = 0.06), and acino-ductal metaplasia (P = 0.05) were observed compared to HFD6 rats. MR image quantifications revealed increased elasticity, fat fraction, and R2 and a decreased elasticity wave dispersion coefficient in the high fat groups that reversed after surgery. MRI parameters were in strong correlation with respective histological counterparts. In conclusion, obese rats develop pancreatic inflammatory lesions with acinar-ductal metaplasia in acinar location and the endocrine-exocrine interface. These changes can be prevented by bariatric surgery. Quantitative MR imaging is accurate in identifying early pancreatic lesions.
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Affiliation(s)
- Vinciane Rebours
- Pancreatology Department, Beaujon Hospital, DHU Unity, AP-HP, Clichy, and Paris-Diderot University, Paris, France.
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France.
| | | | - Lara Ribeiro-Parenti
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
- General and Digestive Surgery, Bichat Hospital, AP-HP, and Paris-Diderot University, Paris, France
| | | | - Sabrina Doblas
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - Gwenaël Pagé
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - André Bado
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - Alain Couvineau
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - Philippe Ruszniewski
- Pancreatology Department, Beaujon Hospital, DHU Unity, AP-HP, Clichy, and Paris-Diderot University, Paris, France
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - Valérie Paradis
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
- Pathology Department, Beaujon Hospital, DHU Unity, AP-HP, and Paris-Diderot University, Paris, France
| | - Maude Le Gall
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
| | - Bernard E Van Beers
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
- Radiology Department, Beaujon Hospital, DHU Unity, AP-HP, Clichy, and Paris-Diderot University, Paris, France
| | - Anne Couvelard
- Inserm UMR1149, DHU Unity, and Paris-Diderot University, Paris, France
- Pathology Department, Bichat Hospital, DHU Unity, AP-HP, and Paris-Diderot University, Paris, France
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova J. Functional imaging in pancreatic disease. RADIOLOGIA 2018. [DOI: 10.1016/j.rxeng.2018.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova JC. Functional imaging in pancreatic disease. RADIOLOGIA 2018; 60:451-464. [PMID: 30236460 DOI: 10.1016/j.rx.2018.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 12/12/2022]
Abstract
In addition to the classical morphological evaluation of pancreatic disease, the constant technological advances in imaging techniques based fundamentally on computed tomography and magnetic resonance imaging have enabled the quantitative functional and molecular evaluation of this organ. In many cases, this imaging-based information results in substantial changes to patient management and can be a fundamental tool for the development of biomarkers. The aim of this article is to review the role of emerging functional and molecular techniques based on computed tomography and magnetic resonance imaging in the evaluation of pancreatic disease.
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Affiliation(s)
- S Baleato-González
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España.
| | - R García-Figueiras
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - A Luna
- Grupo Health Time. Director - Advanced Medical Imaging, Sercosa (Servicio de Radiología Computerizada), Clínica Las Nieves, Jaén, España
| | - M Domínguez-Robla
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - J C Vilanova
- Departamento de Radiología, Clínica Girona-Hospital Santa Caterina, Girona, España
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10
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Xu XQ, Ma G, Wang YJ, Hu H, Su GY, Shi HB, Wu FY. Histogram analysis of diffusion kurtosis imaging of nasopharyngeal carcinoma: Correlation between quantitative parameters and clinical stage. Oncotarget 2018; 8:47230-47238. [PMID: 28525383 PMCID: PMC5564560 DOI: 10.18632/oncotarget.17591] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 04/16/2017] [Indexed: 12/02/2022] Open
Abstract
Purpose To evaluate the correlation between histogram parameters derived from diffusion-kurtosis (DK) imaging and the clinical stage of nasopharyngeal carcinoma (NPC). Results High T-stage (T3/4) NPC showed significantly higher Kapp-mean (P = 0.018), Kapp-median (P = 0.029) and Kapp-90th (P = 0.003) than low T-stage (T1/2) NPC. High N-stage NPC (N2/3) showed significantly lower Dapp-mean (P = 0.002), Dapp-median (P = 0.002) and Dapp-10th (P < 0.001) than low N-stage NPC (N0/1). High AJCC-stage NPC (III/IV) showed significantly lower Dapp-10th (P = 0.038) than low AJCC-stage NPC (I/II). ROC analyses indicated that Kapp-90th was optimal for predicting high T-stage (AUC, 0.759; sensitivity, 0.842; specificity, 0.607), while Dapp-10th was best for predicting high N- and AJCC-stage (N-stage, AUC, 0.841; sensitivity, 0.875; specificity, 0.807; AJCC-stage, AUC, 0.671; sensitivity, 0.800; specificity, 0.588). Materials and Methods DK imaging data of forty-seven consecutive NPC patients were retrospectively analyzed. Apparent diffusion for Gaussian distribution (Dapp) and apparent kurtosis coefficient (Kapp) were generated using diffusion-kurtosis model. Histogram parameters, including mean, median, 10th, 90th percentiles, skewness and kurtosis of Dapp and Kapp were calculated. Patients were divided into low and high T, N and clinical stage based on American Joint Committee on Cancer (AJCC) staging system. Differences of histogram parameters between low and high T, N and AJCC stages were compared using t test. Multiple receiver operating characteristic (ROC) curves were used to determine and compare the value of significant parameters in predicting high T, N and AJCC stage, respectively. Conclusions DK imaging-derived parameters correlated well with clinical stage of NPC, therefore could serve as an adjunctive imaging technique for evaluating NPC.
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Affiliation(s)
- Xiao-Quan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Gao Ma
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan-Jun Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Hu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guo-Yi Su
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hai-Bin Shi
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Chuhutin A, Hansen B, Jespersen SN. Precision and accuracy of diffusion kurtosis estimation and the influence of b-value selection. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3777. [PMID: 28841758 PMCID: PMC5715207 DOI: 10.1002/nbm.3777] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 06/14/2017] [Accepted: 07/03/2017] [Indexed: 05/22/2023]
Abstract
Diffusion kurtosis imaging (DKI) is an extension of diffusion tensor imaging that accounts for leading non-Gaussian diffusion effects. In DKI studies, a wide range of different gradient strengths (b-values) is used, which is known to affect the estimated diffusivity and kurtosis parameters. Hence there is a need to assess the accuracy and precision of the estimated parameters as a function of b-value. This work examines the error in the estimation of mean of the kurtosis tensor (MKT) with respect to the ground truth, using simulations based on a biophysical model for both gray (GM) and white (WM) matter. Model parameters are derived from densely sampled experimental data acquired in ex vivo rat brain and in vivo human brain. Additionally, the variability of MKT is studied using the experimental data. Prevalent fitting protocols are implemented and investigated. The results show strong dependence on the maximum b-value of both net relative error and standard deviation of error for all of the employed fitting protocols. The choice of b-values with minimum MKT estimation error and standard deviation of error was found to depend on the protocol type and the tissue. Protocols that utilize two terms of the cumulant expansion (DKI) were found to achieve minimum error in GM at b-values less than 1 ms/μm2 , whereas maximal b-values of about 2.5 ms/μm2 were found to be optimal in WM. Protocols including additional higher order terms of the cumulant expansion were found to provide higher accuracy for the more commonly used b-value regime in GM, but were associated with higher error in WM. Averaged over multiple voxels, a net average error of around 15% for both WM and GM was observed for the optimal b-value choice. These results suggest caution when using DKI generated metrics for microstructural modeling and when comparing results obtained using different fitting techniques and b-values.
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Affiliation(s)
- Andrey Chuhutin
- Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Brian Hansen
- Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Sune Nørhøj Jespersen
- Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark
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12
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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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13
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Taouli B, Beer AJ, Chenevert T, Collins D, Lehman C, Matos C, Padhani AR, Rosenkrantz AB, Shukla-Dave A, Sigmund E, Tanenbaum L, Thoeny H, Thomassin-Naggara I, Barbieri S, Corcuera-Solano I, Orton M, Partridge SC, Koh DM. Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop. J Magn Reson Imaging 2016; 44:521-40. [PMID: 26892827 PMCID: PMC4983499 DOI: 10.1002/jmri.25196] [Citation(s) in RCA: 127] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 01/28/2016] [Accepted: 01/30/2016] [Indexed: 12/11/2022] Open
Abstract
The significant advances in magnetic resonance imaging (MRI) hardware and software, sequence design, and postprocessing methods have made diffusion-weighted imaging (DWI) an important part of body MRI protocols and have fueled extensive research on quantitative diffusion outside the brain, particularly in the oncologic setting. In this review, we summarize the most up-to-date information on DWI acquisition and clinical applications outside the brain, as discussed in an ISMRM-sponsored symposium held in April 2015. We first introduce recent advances in acquisition, processing, and quality control; then review scientific evidence in major organ systems; and finally describe future directions. J. Magn. Reson. Imaging 2016;44:521-540.
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Affiliation(s)
- Bachir Taouli
- Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ambros J. Beer
- Department of Nuclear Medicine, University Hospital Ulm, Ulm, Germany
| | - Thomas Chenevert
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - David Collins
- CR UK Cancer Imaging Centre, Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
| | - Constance Lehman
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Celso Matos
- Department of Radiology, Champalimaud Clinical Centre, Lisbon, Portugal
| | | | | | - Amita Shukla-Dave
- Departments of Medical Physics and Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Eric Sigmund
- Irene and Bernard Schwartz Center for Biomedical Imaging (CBI) and Center for Advanced Imaging and Innovation (CAIR), Department of Radiology, NYU Langone Medical Center, New York, New York, USA
| | - Lawrence Tanenbaum
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Harriet Thoeny
- Department of Diagnostic Radiology, Inselspital Bern, Bern, Switzerland
| | | | | | - Idoia Corcuera-Solano
- Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matthew Orton
- CR UK Cancer Imaging Centre, Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
| | | | - Dow-Mu Koh
- Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
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