1
|
Lauscher JC, Dixon MEB, Jada G, Afshin M, Neumann K, Cheung H, Martel G, Hallet J, Coburn N, Law C, Milot L, Karanicolas PJ. Prediction of post-hepatectomy liver failure by preoperative gadoxetate disodium-enhanced magnetic resonance imaging. HPB (Oxford) 2024:S1365-182X(24)00050-9. [PMID: 38472015 DOI: 10.1016/j.hpb.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/11/2024] [Accepted: 02/25/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Approximately 15% of patients experience post-hepatectomy liver failure after major hepatectomy. Poor hepatocyte uptake of gadoxetate disodium, a magnetic resonance imaging contrast agent, may be a predictor of post-hepatectomy liver failure. METHODS A retrospective cohort study of patients undergoing major hepatectomy (≥3 segments) with a preoperative gadoxetate disodium-enhanced magnetic resonance imaging was conducted. The liver signal intensity (standardized to the spleen) and the functional liver remnant was calculated to determine if this can predict post-hepatectomy liver failure after major hepatectomy. RESULTS In 134 patients, low signal intensity of the remnant liver standardized by signal intensity of the spleen in post-contrast images was associated with post-hepatectomy liver failure in multiple logistic regression analysis (Odds Ratio 0.112; 95% CI 0.023-0.551). In a subgroup of 33 patients with lower quartile of functional liver remnant, area under the curve analysis demonstrated a diagnostic accuracy of functional liver remnant to predict post-hepatectomy liver failure of 0.857 with a cut-off value for functional liver remnant of 1.4985 with 80.0% sensitivity and 89.3% specificity. CONCLUSION Functional liver remnant determined by gadoxetate disodium-enhanced magnetic resonance imaging is a predictor of post-hepatectomy liver failure which may help identify patients for resection, reducing morbidity and mortality.
Collapse
Affiliation(s)
- Johannes C Lauscher
- Department of General and Visceral Surgery, Charité Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, Germany
| | - Matthew E B Dixon
- Division of Surgical Oncology, Rush University Medical Center 1725 W Harrison St, Chicago, Illinois, 60612 USA
| | - George Jada
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | - Mariam Afshin
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | - Konrad Neumann
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin
| | - Helen Cheung
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | | | - Julie Hallet
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | - Natalie Coburn
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | - Calvin Law
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada
| | | | - Paul J Karanicolas
- Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Toronto ON M4N 3M5, Canada.
| |
Collapse
|
2
|
Mahmoud R, Moody AR, Foster M, Girdharry N, Sinn L, Zhang B, Afshin M, Vivekanandan T, Santoro S, Tyrrell PN. Sharing De-identified Medical Images Electronically for Research: A Survey of Patients' Opinion Regarding Data Management. Can Assoc Radiol J 2019; 70:212-218. [PMID: 31376884 DOI: 10.1016/j.carj.2019.04.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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: 07/12/2018] [Revised: 04/04/2019] [Accepted: 04/08/2019] [Indexed: 10/26/2022] Open
Abstract
PURPOSE Secondary usage of patient data has recently become of increasing interest for the development and application of computer analytic techniques. Strict oversight of these data is required and the individual patients themselves are integral to providing guidance. We sought to understand patients' attitudes to sharing their imaging data for research purposes. These images could provide a great wealth of information for researchers. METHODS Patients from the Greater Toronto Area attending Sunnybrook Health Sciences Centre for imaging (magnetic resonance imagining, computed tomography, or ultrasound) examination areas were invited to participate in an electronic survey. RESULTS Of the 1083 patients who were approached (computed tomography 609, ultrasound 314, and magnetic resonance imaging 160), 798 (74%) agreed to take the survey. Overall median age was 60 (interquartile range = 18, Q1 = 52, Q3 = 70), 52% were women, 42% had a university degree, and 7% had no high school diploma. In terms of willingness to share de-identified medical images for research, 76% were willing (agreed and strongly agreed), while 7% refused. Most participants gave their family physicians (73%) and other physicians (57%) unconditional data access. Participants chose hospitals/research institutions to regulate electronic images databases (70%), 89% wanted safeguards against unauthorized access to their data, and over 70% wanted control over who will be permitted, for how long, and the ability to revoke that permission. CONCLUSIONS Our study found that people are willing to share their clinically acquired de-identified medical images for research studies provided that they have control over permissions and duration of access.
Collapse
Affiliation(s)
- Rasha Mahmoud
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Alan R Moody
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Moran Foster
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Natasha Girdharry
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Loreta Sinn
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Bowen Zhang
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Mariam Afshin
- Department of Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | | | - Samantha Santoro
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Pascal N Tyrrell
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
3
|
Marvasti TB, Moody AR, Singh N, Maraj T, Tyrrell P, Afshin M. Haptoglobin 2-2 genotype is associated with presence and progression of MRI depicted atherosclerotic intraplaque hemorrhage. Int J Cardiol Heart Vasc 2017; 18:96-100. [PMID: 29876508 PMCID: PMC5988477 DOI: 10.1016/j.ijcha.2017.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 11/17/2017] [Indexed: 02/08/2023]
Abstract
Background Atherosclerotic intraplaque hemorrhage (IPH) is a source of free hemoglobin that binds the haptoglobin protein and forms a complex cleared by CD163 macrophages. Compared to the other common haptoglobin genotypes, hemoglobin-haptoglobin2-2 complex has the lowest affinity for tissue macrophages resulting in lower rate of hemoglobin uptake and increased oxidative burden. We hypothesized that haptoglobin2-2 patients' failure to clear hemoglobin results in a greater prevalence and progression of IPH. Methods Prevalence and volume of IPH were measured in eighty patients with advanced vascular disease using MRI. Haptoglobin was genotyped using PCR. Mixed Models Repeated Measures Analyses were performed to detect any differences in prevalence and volume of IPH between the haptoglobin genotypes. Results Haptoglobin2-2 patients had a statistically significant higher prevalence of baseline IPH (OR = 4.34, p-value: 0.01, 95% CI: 1.31–14.35). Longitudinal analysis of 48 IPH positive carotids indicated a statistically significant progression of IPH volume over time in haptoglobin2-2 patients (Type 3 test for fixed effect p-value = 0.0106; baseline vs. year 3: β = 0.11, SE = 0.05, p-value = 0.03; year 2 vs. year 3: β = 0.05, SE = 0.02, p-value = 0.03). Conclusions Patients with the Hp2-2 genotype had a significantly higher prevalence of carotid baseline IPH, which progressed over a two year follow up period. Detection of pre-symptomatic vascular disease using haptoglobin genotyping may allow for better risk stratification of populations at risk of stroke and in need of more targeted imaging investigations.
Collapse
Affiliation(s)
| | - Alan R Moody
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.,Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Navneet Singh
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Tishan Maraj
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Pascal Tyrrell
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Mariam Afshin
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| |
Collapse
|
4
|
Punithakumar K, Ben Ayed I, Afshin M, Goela A, Islam A, Li S, Boulanger P, Becher H, Noga M. Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput Methods Programs Biomed 2016; 124:58-66. [PMID: 26614019 DOI: 10.1016/j.cmpb.2015.10.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Revised: 09/21/2015] [Accepted: 10/20/2015] [Indexed: 06/05/2023]
Abstract
UNLABELLED Anatomical cine cardiovascular magnetic resonance (CMR) imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast. Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures. This study presents a semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images. The proposed method is based on three main steps: (1) non-rigid registration, which yields a sequence of endocardial boundary points over the cardiac cycle based on a user-provided contour on the first frame; (2) LV volume and filling rate computations over the cardiac cycle; and (3) automated detection of the peak values of early (E) and late ventricular (A) filling waves. In 47 patients cine CMR imaging and Doppler-echocardiographic imaging were performed. CMR measurements of peak values of the E and A waves as well as the deceleration time were compared with the corresponding values obtained in Doppler-Echocardiography. For the E/A ratio the proposed algorithm for CMR yielded a Cohen's kappa measure of 0.70 and a Gwet's AC1 coefficient of 0.70. CONCLUSION Semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images provides mitral inflow measurements comparable to Doppler-Echocardiography.
Collapse
Affiliation(s)
- Kumaradevan Punithakumar
- Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
| | - Ismail Ben Ayed
- Ecole de Technologie Superieure (ETS), University of Quebec, Montreal, QC, Canada
| | - Mariam Afshin
- Dept. of Medical Imaging, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | | | - Ali Islam
- St. Joseph's Health Care, London, ON, Canada
| | - Shuo Li
- Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Pierre Boulanger
- Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada; Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
| | - Harald Becher
- Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Michelle Noga
- Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
| |
Collapse
|
5
|
Afshin M, Ben Ayed I, Punithakumar K, Law M, Islam A, Goela A, Peters T. Regional assessment of cardiac left ventricular myocardial function via MRI statistical features. IEEE Trans Med Imaging 2014; 33:481-494. [PMID: 24184708 DOI: 10.1109/tmi.2013.2287793] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Automating the detection and localization of segmental (regional) left ventricle (LV) abnormalities in magnetic resonance imaging (MRI) has recently sparked an impressive research effort, with promising performances and a breadth of techniques. However, despite such an effort, the problem is still acknowledged to be challenging, with much room for improvements in regard to accuracy. Furthermore, most of the existing techniques are labor intensive, requiring delineations of the endo- and/or epi-cardial boundaries in all frames of a cardiac sequence. The purpose of this study is to investigate a real-time machine-learning approach which uses some image features that can be easily computed, but that nevertheless correlate well with the segmental cardiac function. Starting from a minimum user input in only one frame in a subject dataset, we build for all the regional segments and all subsequent frames a set of statistical MRI features based on a measure of similarity between distributions. We demonstrate that, over a cardiac cycle, the statistical features are related to the proportion of blood within each segment. Therefore, they can characterize segmental contraction without the need for delineating the LV boundaries in all the frames. We first seek the optimal direction along which the proposed image features are most descriptive via a linear discriminant analysis. Then, using the results as inputs to a linear support vector machine classifier, we obtain an abnormality assessment of each of the standard cardiac segments in real-time. We report a comprehensive experimental evaluation of the proposed algorithm over 928 cardiac segments obtained from 58 subjects. Compared against ground-truth evaluations by experienced radiologists, the proposed algorithm performed competitively, with an overall classification accuracy of 86.09% and a kappa measure of 0.73.
Collapse
|