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Narang M, Singh A, Mahapatra SJ, Gunjan D, Sharma S, Srivastava DN, Yadav R, Dash NR, Bansal VK, Pandey RM, Garg PK, Madhusudhan KS. Utility of dual-energy CT and advanced multiparametric MRI based imaging biomarkers of pancreatic fibrosis in grading the severity of chronic pancreatitis. Abdom Radiol (NY) 2024:10.1007/s00261-024-04443-0. [PMID: 38900324 DOI: 10.1007/s00261-024-04443-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 06/02/2024] [Accepted: 06/07/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To non-invasively quantify pancreatic fibrosis and grade severity of chronic pancreatitis (CP) on dual-energy CT (DECT) and multiparametric MRI (mpMRI). METHODS We included 72 patients (mean age:30years; 59 men) with suspected or confirmed CP from December 2019 to December 2021 graded as equivocal(n = 20), mild(n = 18), and moderate-marked(n = 34) using composite imaging and endoscopic ultrasound criteria. Study patients underwent multiphasic DECT and mpMRI of the abdomen. Normalized iodine concentration(NIC) and fat fraction(FF) on 6-minute delayed DECT, and T1 relaxation time(T1Rt), extracellular volume fraction(ECVf), intravoxel incoherent motion-based perfusion fraction(PF), and magnetization transfer ratio(MTR) on mpMRI of pancreas were compared. 20 renal donors(for DECT) and 20 patients with renal mass(for mpMRI) served as controls. RESULTS NIC of pancreas in controls and progressive grades of CP were 0.24 ± 0.05, 0.80 ± 0.18, 1.06 ± 0.23, 1.40 ± 0.36, FF were 9.28 ± 5.89, 14.19 ± 5.29, 17.31 ± 5.99, 29.32 ± 12.22, T1Rt were 590.11 ± 61.13, 801.93 ± 211.01, 1006.79 ± 352.18, 1388.01 ± 312.23ms, ECVf were 0.07 ± 0.03, 0.30 ± 0.12, 0.41 ± 0.12, 0.53 ± 0.13, PF were 0.38 ± 0.04, 0.28 ± 0.07, 0.25 ± 0.09, 0.21 ± 0.05 and MTR were 0.12 ± 0.03, 0.15 ± 0.06, 0.21 ± 0.07, 0.26 ± 0.06, respectively. There were significant differences for all quantitative parameters between controls and mild CP; for NIC, PF, and ECVf between controls and progressive CP grades (p < 0.05). Area under curve for NIC, FF, T1Rt, ECVf, PF, and MTR in differentiating controls and mild CP were 1.00, 0.86, 0.95, 1.00, 0.90 and 0.84 respectively and for NIC, FF, ECVf and PF in differentiating controls and equivocal CP were 1.00, 0.76, 0.95 and 0.92 respectively. CONCLUSION DECT and mpMRI were useful in quantifying pancreatic fibrosis and grading the severity of CP. NIC was the most accurate marker.
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Affiliation(s)
- Mohak Narang
- Departments of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Anup Singh
- Centre for Biomedical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, 10029, India
| | - Soumya Jagannath Mahapatra
- Departments of Gastroenterology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Deepak Gunjan
- Departments of Gastroenterology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Sanjay Sharma
- Departments of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Deep Narayan Srivastava
- Departments of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Rajni Yadav
- Departments of Pathology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Nihar Ranjan Dash
- Departments of Gastrointestinal Surgery, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Virinder Kumar Bansal
- Departments of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Ravindra Mohan Pandey
- Departments of Biostatistics, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Pramod Kumar Garg
- Departments of Gastroenterology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India
| | - Kumble Seetharama Madhusudhan
- Departments of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, Ansari Nagar, 10029, India.
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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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Single- and multiparameter magnetic resonance imaging for diagnosing and severity grading of chronic pancreatitis. Abdom Radiol (NY) 2023; 48:630-641. [PMID: 36477631 DOI: 10.1007/s00261-022-03760-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE The study aimed to determine the performance of advanced magnetic resonance imaging (MRI), including a multiparametric MRI-index, for diagnosing and severity grading of chronic pancreatitis (CP) at various functional stages with focus on detection of CP with preserved pancreatic function. METHODS Fifty-four CP patients and 35 healthy controls underwent MRI including assessment of pancreatic volume, main pancreatic duct (MPD) diameter, T1 relaxation time, magnetic resonance elastography (MRE) derived stiffness, and intravoxel incoherent motion (IVIM) diffusion-weighted imaging. Patients were categorized into three subgroups: Preserved pancreatic function (n = 14), partial pancreatic insufficiency (exocrine insufficiency or diabetes, n = 25), and complete pancreatic insufficiency (exocrine insufficiency and diabetes, n = 15). A multiparametric MRI-index was based on ordinal logistic regression analysis. Diagnostic performances of MRI parameters for diagnosing CP at different functional stages were determined using receiver operating characteristic (ROC) analysis. RESULTS All MRI parameters differed across CP subgroups and healthy controls (all P < 0.001), except for IVIM. T1 relaxation time (ROC area under the curve (ROC-AUC) 0.82), MRE (ROC-AUC 0.88), and MRI-index (ROC-AUC 0.86) showed the highest performance for detecting patients with preserved pancreatic function (early CP) vs. healthy controls. For detecting preserved pancreatic function vs. partial insufficiency, pancreatic volume, MRI-index, and T1 relaxation time performed best (all ROC-AUC > 0.75), with the MRI-index tending to outperform MRE (ROC-AUC 0.77 vs. 0.63; P = 0.10). CONCLUSION Quantitative assessments of T1 relaxation time and MRE-derived stiffness seem promising for diagnosing CP at different functional stages and may together with multiparametric MRI-index be used for early identification, staging and monitoring of CP.
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Sun S, Zhou N, Feng Y, Lv Y, He J, Liu S, Chen W, Kong W, Zhou Z. Evaluation of Chronic Pancreatitis With T 1 ρ MRI: A Preliminary Study. J Magn Reson Imaging 2020; 53:577-584. [PMID: 32770605 DOI: 10.1002/jmri.27302] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Chronic pancreatitis (CP) can result in persistent damage to the endocrine and exocrine tissues of the pancreas. There is an unmet need for quantitative methods to evaluate CP noninvasively. PURPOSE To investigate the utility of T1 ρ magnetic resonance imaging (MRI) for the assessment of CP. STUDY TYPE Prospective. POPULATION Twenty patients with CP and 24 healthy volunteers. FIELD STRENGTH/SEQUENCE 3T MRI including T1 ρ sequence (spin lock time = 0, 1, 10, 20, 40, 60 msec). ASSESSMENT Pancreatic T1 ρ values and anterior-posterior (AP) diameters in the head, body, and tail were measured in all participants. Regions of interest with circle (ROIcircle ) and free-hand (ROIFH ) were drawn for T1 ρ value measurements. STATISTICAL TESTS Mann-Whitney U-test; Wilcoxon Signed Ranks test; receiver operating characteristic (ROC) curve; and Bland-Altman analysis. RESULTS The T1 ρ values of pancreatic tail and the mean T1 ρ values for ROIcircle and the T1 ρ values of pancreatic tail for ROIFH in patients with CP were significantly higher than those in healthy volunteers (all P < 0.05). Pancreatic head AP diameter significantly increased, while pancreatic tail AP diameter significantly decreased in patients with CP compared with healthy volunteers (both P < 0.05). The areas under the ROC curves (AUCs) of pancreatic tail T1 ρ values with ROIcircle and tail AP diameter in diagnosing CP were 0.744 and 0.798, respectively. A combination of pancreatic tail T1 ρ values with ROIcircle and tail AP diameter achieved good performance for diagnosing CP (AUC = 0.838). DATA CONCLUSION T1 ρ MRI might be a potential technique for the noninvasive evaluation of CP. Level of Evidence 2 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2021;53:577-584.
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Affiliation(s)
- Shuangshuang Sun
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Nan Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yongjing Feng
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ying Lv
- Department of Gastroenterology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Song Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | | | - Wentao Kong
- Department of Ultrasound, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Frøkjær JB, Lisitskaya MV, Jørgensen AS, Østergaard LR, Hansen TM, Drewes AM, Olesen SS. Pancreatic magnetic resonance imaging texture analysis in chronic pancreatitis: a feasibility and validation study. Abdom Radiol (NY) 2020; 45:1497-1506. [PMID: 32266506 DOI: 10.1007/s00261-020-02512-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE This feasibility and validation study addresses the potential use of magnetic resonance imaging (MRI) texture analysis of the pancreas in patients with chronic pancreatitis (CP). METHODS Extraction of 851 MRI texture features from diffusion weighted imaging (DWI) of the pancreas was performed in 77 CP patients and 22 healthy controls. Features were reduced to classify patients into subgroups, and a Bayes classifier was trained using a tenfold cross-validation forward selection procedure. The classifier was optimized to obtain the best average m-fold accuracy, sensitivity, specificity, and positive predictive value. Classifiers were: presence of disease (CP vs. healthy controls), etiological risk factors (alcoholic vs. nonalcoholic etiology of CP and tobacco use vs. no tobacco use), and complications to CP (presumed pancreatogenic diabetes vs. no diabetes and pancreatic exocrine insufficiency vs. normal pancreatic function). RESULTS The best classification performance was obtained for the disease classifier selecting only five of the original features with 98% accuracy, 97% sensitivity, 100% specificity, and 100% positive predictive value. The risk factor classifiers obtained good performance using 9 (alcohol: 88% accuracy) and 10 features (tobacco: 86% accuracy). The two complication classifiers obtained similar accuracies with only 4 (diabetes: 83% accuracy) and 3 features (exocrine pancreatic function: 82% accuracy). CONCLUSION Pancreatic texture analysis demonstrated to be feasible in patients with CP and discriminate clinically relevant subgroups based on etiological risk factors and complications. In future studies, the method may provide useful information on disease progression (monitoring) and detection of biomarkers characterizing early-stage CP.
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Affiliation(s)
- Jens Brøndum Frøkjær
- Department of Radiology, Aalborg University Hospital, P.O. Box 365, 9100, Aalborg, Denmark.
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Maria Valeryevna Lisitskaya
- Department of Radiology, Aalborg University Hospital, P.O. Box 365, 9100, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | | | - Tine Maria Hansen
- Department of Radiology, Aalborg University Hospital, P.O. Box 365, 9100, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Asbjørn Mohr Drewes
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Centre for Pancreatic Diseases, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Søren Schou Olesen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Centre for Pancreatic Diseases, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
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Progression of parenchymal and ductal findings in patients with chronic pancreatitis: A 4-year follow-up MRI study. Eur J Radiol 2020; 125:108868. [PMID: 32070871 DOI: 10.1016/j.ejrad.2020.108868] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 01/23/2020] [Accepted: 02/04/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE Knowledge of the underlying mechanisms behind progression of chronic pancreatitis (CP) is needed to identify targets for new mechanism-based treatments. There is an urgent need for imaging biomarkers that can detect early morphological and functional pancreatic damage in order to initiate intervention and reduce the progression of CP at an early stage. The aim of our study was to assess and explore the potential role of structural magnetic resonance imaging (MRI) biomarkers for characterisation of disease progression in a CP patient cohort over a 4-year period. METHODS This longitudinal MRI study included twenty-five patients with definitive CP. Assessments of morphological imaging parameters at baseline and after 4 years included pancreatic gland volume, apparent diffusion coefficient (ADC) values, fat signal fraction (FSF) and main pancreatic duct (MPD) diameter. Patients were classified according to the modified Cambridge classification. RESULTS CP patients developed significantly reduced pancreatic gland volume, which decreased from mean 50.3 ± 19.6 ml at baseline to 43.5 ± 20.8 ml at follow-up (P < 0.001), decreased ADC values, meaning a higher degree of fibrosis (P < 0.001), increased FSF, meaning more fat infiltration (P < 0.001) and higher Cambridge classification scores (P = 0.033). The MPD diameter in the pancreatic head, body and tail did not change significantly over time (all P > 0.05). Only few, but no clear and systematic, associations were found between the progressions of the individual MRI measures. CONCLUSIONS Morphological progression in patients with established CP seems to be primarily parenchymal-related. The different parenchymal changes were mostly unrelated and probably reflect diverse pathophysiological processes.
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Kristi B A, Ditte N H, Caroline H, Marianne S, Astrid P, Jens B F, David A P, Anne S. Placental diffusion-weighted MRI in normal pregnancies and those complicated by placental dysfunction due to vascular malperfusion. Placenta 2020; 91:52-58. [PMID: 32174307 DOI: 10.1016/j.placenta.2020.01.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/19/2020] [Accepted: 01/21/2020] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Our aim was to assess placental function by diffusion-weighted magnetic resonance imaging (MRI) using intravoxel incoherent motion (IVIM) analysis in uncomplicated pregnancies and pregnancies complicated by placental dysfunction. METHODS 31 normal pregnancies and 9 pregnancies complicated by placental dysfunction (birthweight ≤ -2SD and histological signs of placental vascular malperfusion) were retrieved from our placental MRI research database. MRI was performed at gestational weeks 20.1-40.6 in a 1.5 T system using 10 b-values (0-1000 s/mm2). Regions of interest were drawn covering the entire placenta in five transverse slices. Diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f) were estimated by IVIM analysis. RESULTS In normal pregnancies, placental f decreased linearly with gestational age (r = -0.522, p = 0.002) being 26.2% at week 20 and 18.8% at week 40. D and D* were 1.57 ± 0.03 and 31.7 ± 3.1 mm2/s (mean ± SD), respectively, and they were not correlated with gestational age. In complicated pregnancies, f was significantly reduced (mean Z-score = -1.16; p = 0.02) when compared to the group of normal pregnancies, whereas D and D* did not differ significantly between groups. Subgroup analysis demonstrated that f was predominantly reduced in dysfunctional placentas characterized by fetal vascular malperfusion (mean Z-score = -2.11, p < 0.001) rather than maternal vascular malperfusion (mean Z-score = -0.40, p = 0.42). In addition, f was negatively correlated with uterine artery pulsatility index (r = -0.396, p = 0.01). DISCUSSION Among parameters obtained by the IVIM analysis, only f revealed significant differences between the normal and the dysfunctional placentas. Subgroup analysis suggests that placental f may be able to discriminate non-invasively between different histological types of vascular malperfusion.
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Affiliation(s)
- Anderson Kristi B
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark.
| | - Hansen Ditte N
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark
| | - Haals Caroline
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark
| | - Sinding Marianne
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark
| | - Petersen Astrid
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark
| | - Frøkjær Jens B
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark
| | - Peters David A
- Department of Clinical Engineering, Central Denmark Region, Nørrebrogade 44, 8000, Aarhus C, Denmark
| | - Sørensen Anne
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark
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