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1.
Clin Imaging ; 81: 47-53, 2022 Jan.
Article in English | MEDLINE | ID: mdl-34598005

ABSTRACT

OBJECTIVE: Magnetic resonance cholangiopancreatography (MRCP) is used for the surveillance of primary sclerosing cholangitis (PSC) and its associated complications. The time interval gap for subsequent follow-up MRCP is variable depending on clinical practice patterns, therefore this study was done to assess the MRCP follow-up strategy used in our institution for screening PSC-associated hepatobiliary malignancies. MATERIALS AND METHODS: This retrospective observational cohort included MRCP studies in adult patients, with clinical and radiological diagnosis of PSC over the past 15-year period between January 1, 2003 to December 31, 2018. The study population was grouped based on the presence and absence of PSC-associated malignancy. The frequency of MRCP follow-up was compared between the groups to look for MRI ordering trends in surveillance for PSC-associated complications. RESULTS: The overall median interval follow-up with MRCP was 14 months. The median follow-up interval in cases with PSC-associated malignancy was 6.0 months, compared to 13.1 months in the PSC group without malignancy (p 0.013). During the study period, the PSC-associated malignancy group had a median number of 7.5 scans, while the no malignancy group had a median number of 4 scans. Three patients (3/10, 30%) developed hepatobiliary malignancies within the first year of clinical diagnosis of PSC. The most common malignancy associated with PSC was cholangiocarcinoma (4.6%,7/10). Other PSC-associated malignancies included carcinoma gallbladder (1.3%,2/10), and hepatocellular carcinoma (0.6%,1/10). The median age of PSC associated malignancies was 56 (IQR 15) and higher compared to median age of PSC group without malignancies 46 (IQR 25.5), p 0.035. CONCLUSION: The median interval for subsequent follow-up MRCP in our study cohort was 14 months. One-third of PSC-associated hepato-biliary malignancies developed within the first year of clinical diagnosis of PSC, and the risk of PSC-associated hepato-biliary malignancy is constant after the first year.


Subject(s)
Bile Duct Neoplasms , Cholangitis, Sclerosing , Liver Neoplasms , Adult , Bile Duct Neoplasms/diagnostic imaging , Bile Duct Neoplasms/epidemiology , Bile Ducts, Intrahepatic , Cholangiopancreatography, Magnetic Resonance , Cholangitis, Sclerosing/diagnostic imaging , Cholangitis, Sclerosing/epidemiology , Humans , Liver Neoplasms/diagnostic imaging , Liver Neoplasms/epidemiology , Liver Neoplasms/etiology , Ontario/epidemiology , Retrospective Studies
2.
Emerg Radiol ; 28(6): 1045-1054, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34302561

ABSTRACT

PURPOSE: To measure the diagnostic accuracy and inter-observer agreement with the use of COVID-19 Reporting and Data System (CO-RADS) for detection of COVID-19 on CT chest imaging. METHODS: This retrospective study included 164 consecutive patients with clinical suspicion of COVID-19 in whom a CT chest examination was performed at a single institution between April 2020 and July 2020. Of them, 101 patients was RT-PCR positive for COVID-19. Six readers with varying radiological experience (two each of chest radiologists, general radiologists, and radiologists in training) independently assigned a CO-RADS assessment category for each CT chest study. The Fleiss' K was used to quantify inter-observer agreement. The inter-observer agreement was also assessed based on the duration of onset of symptoms to CT scan. ROC curve analysis was used to determine the diagnostic accuracy of CO-RADS. The area under curve was calculated to determine the reader accuracy for detection of COVID-19 lung involvement with RT-PCR as reference standards. The data sets were plotted in ROC space, and Youden's J statistic was calculated to determine the threshold cut-off CO-RADS category for COVID-19 positivity. RESULTS: There was overall moderate inter-observer agreement between all readers (Fleiss' K 0.54 [95% CI 0.54, 0.54]), with substantial agreement among chest radiologists (Fleiss' K 0.68 [95% CI 0.67, 0.68]), general radiologists (Fleiss' K 0.61 [95% CI 0.61, 0.61]), and moderate agreement among radiologists-in-training (Fleiss' K 0.56 [95% CI 0.56, 0.56]). There was overall moderate inter-observer agreement in early disease (stages 1 and 2), with cumulative Fleiss' K 0.45 [95% CI 0.45, 0.45]). The overall AUC for CO-RADS lexicon scheme to accurately diagnose COVID-19 yielded 0.92 (95% CI 0.91, 0.94) with strong concordance within and between groups, of chests radiologists with AUC of 0.91 (95% CI 0.88, 0.94), general radiologists with AUC 0.96 (95% CI 0.94, 0.98), and radiologists in training with AUC of 0.90 (95% CI 0.87, 0.94). For detecting COVID-19, ROC curve analysis yielded CO-RADS > 3 as the cut-off threshold with sensitivity 90% (95% CI 0.88, 0.93), and specificity of 87% (95% CI 0.83, 0.91). CONCLUSION: Readers across different levels of experience could accurately identify COVID-19 positive patients using the CO-RADS lexicon with moderate inter-observer agreement and high diagnostic accuracy.


Subject(s)
COVID-19 , Humans , Observer Variation , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
3.
Indian J Psychol Med ; 35(4): 389-93, 2013 Oct.
Article in English | MEDLINE | ID: mdl-24379501

ABSTRACT

CONTEXT: The two ubiquitous factors that have been identified in medical courses to underlie mental health are stress and different coping styles adopted to combat stress. AIM: To find the association between coping styles and stress in undergraduate medical students. SETTINGS AND DESIGN: A medical college in Central Kerala. A cross-sectional study design was adopted. MATERIALS AND METHODS: Source and Severity of Stress Scale, Medical Student Version, was used to assess the source and nature of stress. Brief Cope was used to find out the coping styles adopted. STATISTICAL ANALYSIS: The statistical analysis was done using Statistical Package for Social Sciences version 20 and SAS. Chi-square analysis was used to find the association between coping styles and stress domains and with the overall stress score. RESULTS: There is a significant positive association between overall stress score and coping styles (P=0.001) of 'Negative cope', 'Blame', and 'Humor'. 'Positive cope' and 'Religion' has significant positive association with 'Academics' (P=0.047) and 'self Expectations' (P=0.009). 'Blame' (P<0.001) has very high significant positive association with 'Academics', 'self expectation', and 'Relationships'. Very high significant positive association is further found between 'Humor' (P<0.001) and 'self expectations', 'Living conditions', and 'Health and Value conflict'. 'substance Use' is positively associated in high significance to 'Health and Value conflict' (P<0.001). CONCLUSIONS: The outcome of the study emphasizes the need for stress management techniques in the medical school.

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