1
|
Tadisetty S, Nair RT, Heba ER, Dawkins A. I saw the "kissing ovaries" sign: Too close for comfort. Clin Imaging 2023; 100:7-9. [PMID: 37120923 DOI: 10.1016/j.clinimag.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/13/2023] [Accepted: 04/18/2023] [Indexed: 05/02/2023]
Abstract
The Kissing ovaries sign is a radiological sign seen in women with deep pelvic endometriosis. It refers to abutment of the ovaries within the cul-de-sac. The term kissing ovaries was first described by Ghezzi et al. (2005) and has been since used widely. When seen on imaging it indicates moderate to severe endometriosis with the ovaries tethered within abnormal pelvic soft tissue, which may warrant surgical management.
Collapse
Affiliation(s)
- Sindhura Tadisetty
- Department of Radiology, University of Kentucky, 800 Rose Street, Lexington, KY 40536, United States of America.
| | - Rashmi T Nair
- Department of Radiology, University of Kentucky, 800 Rose Street, Lexington, KY 40536, United States of America.
| | - Elhamy R Heba
- Department of Radiology, University of Kentucky, 800 Rose Street, Lexington, KY 40536, United States of America.
| | - Adrian Dawkins
- Department of Radiology, University of Kentucky, 800 Rose Street, Lexington, KY 40536, United States of America.
| |
Collapse
|
2
|
Middleton MS, Van Natta ML, Heba ER, Alazraki A, Trout AT, Masand P, Brunt EM, Kleiner DE, Doo E, Tonascia J, Lavine JE, Shen W, Hamilton G, Schwimmer JB, Sirlin CB. Diagnostic accuracy of magnetic resonance imaging hepatic proton density fat fraction in pediatric nonalcoholic fatty liver disease. Hepatology 2018; 67:858-872. [PMID: 29028128 PMCID: PMC6211296 DOI: 10.1002/hep.29596] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 09/11/2017] [Accepted: 10/12/2017] [Indexed: 12/11/2022]
Abstract
UNLABELLED We assessed the performance of magnetic resonance imaging (MRI) proton density fat fraction (PDFF) in children to stratify hepatic steatosis grade before and after treatment in the Cysteamine Bitartrate Delayed-Release for the Treatment of Nonalcoholic Fatty Liver Disease in Children (CyNCh) trial, using centrally scored histology as reference. Participants had multiecho 1.5 Tesla (T) or 3T MRI on scanners from three manufacturers. Of 169 enrolled children, 110 (65%) and 83 (49%) had MRI and liver biopsy at baseline and at end of treatment (EOT; 52 weeks), respectively. At baseline, 17% (19 of 110), 28% (31 of 110), and 55% (60 of 110) of liver biopsies showed grades 1, 2, and 3 histological steatosis; corresponding PDFF (mean ± SD) values were 10.9 ± 4.1%, 18.4 ± 6.2%, and 25.7 ± 9.7%, respectively. PDFF classified grade 1 versus 2-3 and 1-2 versus 3 steatosis with areas under receiving operator characteristic curves (AUROCs) of 0.87 (95% confidence interval [CI], 0.80, 0.94) and 0.79 (0.70, 0.87), respectively. PDFF cutoffs at 90% specificity were 17.5% for grades 2-3 steatosis and 23.3% for grade 3 steatosis. At EOT, 47% (39 of 83), 41% (34 of 83), and 12% (10 of 83) of biopsies showed improved, unchanged, and worsened steatosis grade, respectively, with corresponding PDFF (mean ± SD) changes of -7.8 ± 6.3%, -1.2 ± 7.8%, and 4.9 ± 5.0%, respectively. PDFF change classified steatosis grade improvement and worsening with AUROCs (95% CIs) of 0.76 (0.66, 0.87) and 0.83 (0.73, 0.92), respectively. PDFF change cut-off values at 90% specificity were -11.0% and +5.5% for improvement and worsening. CONCLUSION MRI-estimated PDFF has high diagnostic accuracy to both classify and predict histological steatosis grade and change in histological steatosis grade in children with NAFLD. (Hepatology 2018;67:858-872).
Collapse
Affiliation(s)
- Michael S. Middleton
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Mark L. Van Natta
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elhamy R. Heba
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Adina Alazraki
- Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia
| | - Andrew T. Trout
- Cincinnati Children’s Hospital, Department of Radiology, Cincinnati, Ohio
| | | | | | | | - Edward Doo
- Liver Diseases Section, Digestive Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases
| | - James Tonascia
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Joel E. Lavine
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Wei Shen
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Jeffrey B. Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California; and Department of Gastroenterology, Rady Children’s Hospital, San Diego, California
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | | |
Collapse
|
3
|
Bydder M, Hamilton G, de Rochefort L, Desai A, Heba ER, Loomba R, Schwimmer JB, Szeverenyi NM, Sirlin CB. Sources of systematic error in proton density fat fraction (PDFF) quantification in the liver evaluated from magnitude images with different numbers of echoes. NMR Biomed 2018; 31:10.1002/nbm.3843. [PMID: 29130539 PMCID: PMC5761676 DOI: 10.1002/nbm.3843] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/11/2017] [Accepted: 09/14/2017] [Indexed: 05/12/2023]
Abstract
The purpose of this work was to investigate sources of bias in magnetic resonance imaging (MRI) liver fat quantification that lead to a dependence of the proton density fat fraction (PDFF) on the number of echoes. This was a retrospective analysis of liver MRI data from 463 subjects. The magnitude signal variation with TE from spoiled gradient echo images was curve fitted to estimate the PDFF using a model that included monoexponential R2 * decay and a multi-peak fat spectrum. Additional corrections for non-exponential decay (Gaussian), bi-exponential decay, degree of fat saturation, water frequency shift and noise bias were introduced. The fitting error was minimized with respect to 463 × 3 = 1389 subject-specific parameters and seven additional parameters associated with these corrections. The effect on PDFF was analyzed, notably the dependence on the number of echoes. The effects on R2 * were also analyzed. The results showed that the inclusion of bias corrections resulted in an increase in the quality of fit (r2 ) in 427 of 463 subjects (i.e. 92.2%) and a reduction in the total fitting error (residual norm) of 43.6%. This was largely a result of the Gaussian decay (57.8% of the reduction), fat spectrum (31.0%) and biexponential decay (8.8%) terms. The inclusion of corrections was also accompanied by a decrease in the dependence of PDFF on the number of echoes. Similar analysis of R2 * showed a decrease in the dependence on the number of echoes. Comparison of PDFF with spectroscopy indicated excellent agreement before and after correction, but the latter exhibited lower bias on a Bland-Altman plot (1.35% versus 0.41%). In conclusion, correction for known and expected biases in PDFF quantification in liver reduces the fitting error, decreases the dependence on the number of echoes and increases the accuracy.
Collapse
Affiliation(s)
- Mark Bydder
- Aix-Marseille Université, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA
| | - Ludovic de Rochefort
- Aix-Marseille Université, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France
| | - Ajinkya Desai
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA
| | - Elhamy R Heba
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA
| | - Rohit Loomba
- Division of Gastroenterology, Department of Medicine, University of California, San Diego, CA
- Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California, San Diego, CA
| | - Jeffrey B Schwimmer
- Department of Pediatrics, University of California, San Diego, CA
- Department of Gastroenterology, Rady Children’s Hospital, San Diego, CA
| | | | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA
| |
Collapse
|
4
|
Middleton MS, Heba ER, Hooker CA, Bashir MR, Fowler KJ, Sandrasegaran K, Brunt EM, Kleiner DE, Doo E, Van Natta ML, Tonascia J, Lavine JE, Neuschwander-Tetri BA, Sanyal A, Loomba R, Sirlin CB. Agreement Between Magnetic Resonance Imaging Proton Density Fat Fraction Measurements and Pathologist-Assigned Steatosis Grades of Liver Biopsies From Adults With Nonalcoholic Steatohepatitis. Gastroenterology 2017; 153. [PMID: 28624576 PMCID: PMC5695870 DOI: 10.1053/j.gastro.2017.06.005] [Citation(s) in RCA: 188] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS We assessed the diagnostic performance of magnetic resonance imaging (MRI) proton density fat fraction (PDFF) in grading hepatic steatosis and change in hepatic steatosis in adults with nonalcoholic steatohepatitis (NASH) in a multi-center study, using central histology as reference. METHODS We collected data from 113 adults with NASH participating in a multi-center, randomized, double-masked, placebo-controlled, phase 2b trial to compare the efficacy cross-sectionally and longitudinally of obeticholic acid vs placebo. Hepatic steatosis was assessed at baseline and after 72 weeks of obeticholic acid or placebo by liver biopsy and MRI (scanners from different manufacturers, at 1.5T or 3T). We compared steatosis estimates by PDFF vs histology. Histologic steatosis grade was scored in consensus by a pathology committee. Cross-validated receiver operating characteristic (ROC) analyses were performed. RESULTS At baseline, 34% of subjects had steatosis grade 0 or 1, 39% had steatosis grade 2, and 27% had steatosis grade 3; corresponding mean PDFF values were 9.8%±3.7%, 18.1%±4.3%, and 30.1%±8.1%. PDFF classified steatosis grade 0-1 vs 2-3 with an area under the ROC curve (AUROC) of 0.95 (95% CI, 0.91-0.98), and grade 0-2 vs grade 3 steatosis with an AUROC of 0.96 (95% CI, 0.93-0.99). PDFF cut-off values at 90% specificity were 16.3% for grades 2-3 and 21.7% for grade 3, with corresponding sensitivities of 83% and 84%. After 72 weeks' of obeticholic vs placebo, 42% of subjects had a reduced steatosis grade (mean reduction in PDFF from baseline of 7.4%±8.7%), 49% had no change in steatosis grade (mean increase in PDFF from baseline of 0.3%±6.3%), and 9% had an increased steatosis grade (mean increase in PDFF from baseline of 7.7%±6.0%). PDFF change identified subjects with reduced steatosis grade with an AUROC of 0.81 (95% CI, 0.71-0.91) and increased steatosis grade with an AUROC of 0.81 (95% CI, 0.63-0.99). A PDFF reduction of 5.15% identified subjects with reduced steatosis grade with 90% specificity and 58% sensitivity, whereas a PDFF increase of 5.6% identified those with increased steatosis grade with 90% specificity and 57% sensitivity. CONCLUSIONS Based on data from a phase 2 randomized controlled trial of adults with NASH, PDFF estimated by MRI scanners of different field strength and at different sites, accurately classifies grades and changes in hepatic steatosis when histologic analysis of biopsies is used as a reference.
Collapse
Affiliation(s)
| | - Elhamy R. Heba
- Department of Radiology, UCSD School of Medicine, San Diego, California
| | | | - Mustafa R. Bashir
- Department of Radiology, Duke University Medical Center, 3808, Durham, North Carolina
| | | | - Kumar Sandrasegaran
- Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana
| | | | | | - Edward Doo
- Liver Diseases Section, Digestive Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases
| | - Mark L. Van Natta
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - James Tonascia
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Joel E. Lavine
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | | | - Arun Sanyal
- Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Rohit Loomba
- NAFLD Translational Research Unit, Division of Gastroenterology, UCSD School of Medicine, San Diego, California
| | - Claude B. Sirlin
- Department of Radiology, UCSD School of Medicine, San Diego, California
| |
Collapse
|
5
|
Achmad E, Yokoo T, Hamilton G, Heba ER, Hooker JC, Changchien C, Schroeder M, Wolfson T, Gamst A, Schwimmer JB, Lavine JE, Sirlin CB, Middleton MS. Feasibility of and agreement between MR imaging and spectroscopic estimation of hepatic proton density fat fraction in children with known or suspected nonalcoholic fatty liver disease. ACTA ACUST UNITED AC 2016. [PMID: 26205992 DOI: 10.1007/s00261-015-0506-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE To assess feasibility of and agreement between magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for estimating hepatic proton density fat fraction (PDFF) in children with known or suspected nonalcoholic fatty liver disease (NAFLD). MATERIALS AND METHODS Children were included in this study from two previous research studies in each of which three MRI and three MRS acquisitions were obtained. Sequence acceptability, and MRI- and MRS-estimated PDFF were evaluated. Agreement of MRI- with MRS-estimated hepatic PDFF was assessed by linear regression and Bland-Altman analysis. Age, sex, BMI-Z score, acquisition time, and artifact score effects on MRI- and MRS-estimated PDFF agreement were assessed by multiple linear regression. RESULTS Eighty-six children (61 boys and 25 girls) were included in this study. Slope and intercept from regressing MRS-PDFF on MRI-PDFF were 0.969 and 1.591%, respectively, and the Bland-Altman bias and 95% limits of agreement were 1.17% ± 2.61%. MRI motion artifact score was higher in boys than girls (by 0.21, p = 0.021). Higher BMI-Z score was associated with lower agreement between MRS and MRI (p = 0.045). CONCLUSION Hepatic PDFF estimation by both MRI and MRS is feasible, and MRI- and MRS-estimated PDFF agree closely in children with known or suspected NAFLD.
Collapse
Affiliation(s)
- Emil Achmad
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Takeshi Yokoo
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
- Department of Radiology and Advanced Imaging Research Center, UT Southwestern School of Medicine, Dallas, TX, USA
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Elhamy R Heba
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Jonathan C Hooker
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Christopher Changchien
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Michael Schroeder
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, San Diego, CA, USA
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, San Diego, CA, USA
| | - Jeffrey B Schwimmer
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, School of Medicine, University of California, San Diego, San Diego, CA, USA
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - Joel E Lavine
- Department of Pediatrics, Columbia University, New York, NY, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Michael S Middleton
- Liver Imaging Group, Department of Radiology, School of Medicine, University of California, San Diego, San Diego, CA, USA.
- UCSD Department of Radiology, UCSD MRI Institute, 410 West Dickinson Street, San Diego, CA, 92103-8749, USA.
| |
Collapse
|
6
|
Heba ER, Desai A, Zand KA, Hamilton G, Wolfson T, Schlein AN, Gamst A, Loomba R, Sirlin CB, Middleton MS. Accuracy and the effect of possible subject-based confounders of magnitude-based MRI for estimating hepatic proton density fat fraction in adults, using MR spectroscopy as reference. J Magn Reson Imaging 2015. [PMID: 26201284 DOI: 10.1002/jmri.25006] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To determine the accuracy and the effect of possible subject-based confounders of magnitude-based magnetic resonance imaging (MRI) for estimating hepatic proton density fat fraction (PDFF) for different numbers of echoes in adults with known or suspected nonalcoholic fatty liver disease, using MR spectroscopy (MRS) as a reference. MATERIALS AND METHODS In this retrospective analysis of 506 adults, hepatic PDFF was estimated by unenhanced 3.0T MRI, using right-lobe MRS as reference. Regions of interest placed on source images and on six-echo parametric PDFF maps were colocalized to MRS voxel location. Accuracy using different numbers of echoes was assessed by regression and Bland-Altman analysis; slope, intercept, average bias, and R2 were calculated. The effect of age, sex, and body mass index (BMI) on hepatic PDFF accuracy was investigated using multivariate linear regression analyses. RESULTS MRI closely agreed with MRS for all tested methods. For three- to six-echo methods, slope, regression intercept, average bias, and R2 were 1.01-0.99, 0.11-0.62%, 0.24-0.56%, and 0.981-0.982, respectively. Slope was closest to unity for the five-echo method. The two-echo method was least accurate, underestimating PDFF by an average of 2.93%, compared to an average of 0.23-0.69% for the other methods. Statistically significant but clinically nonmeaningful effects on PDFF error were found for subject BMI (P range: 0.0016 to 0.0783), male sex (P range: 0.015 to 0.037), and no statistically significant effect was found for subject age (P range: 0.18-0.24). CONCLUSION Hepatic magnitude-based MRI PDFF estimates using three, four, five, and six echoes, and six-echo parametric maps are accurate compared to reference MRS values, and that accuracy is not meaningfully confounded by age, sex, or BMI.
Collapse
Affiliation(s)
- Elhamy R Heba
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Ajinkya Desai
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Kevin A Zand
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, San Diego, California, USA
| | - Alexandra N Schlein
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, San Diego, California, USA
| | - Rohit Loomba
- Department of Medicine (Division of Gastroenterology and Hepatology), University of California, San Diego, San Diego, California, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| | - Michael S Middleton
- Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA
| |
Collapse
|