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High False-positive Rate (high + false-positive_rate)
Selected AbstractsPancreatic mucinous lesions: A retrospective analysis with cytohistological correlationDIAGNOSTIC CYTOPATHOLOGY, Issue 11 2006Jing Zhai M.D., Ph.D. Abstract The diagnosis of mucinous pancreatic lesions, which include mucinous noncystic adenocarcinoma, intraductal papillary mucinous neoplasm (IPMN), mucinous cystic neoplasm (MCN), and mucinous metaplasia, is critical, given different clinical management and prognosis. This retrospective study is done to assess the cytological features and pitfalls associated with these entities in cytological samples. A search for pancreatic cytology specimens with histological confirmation of the various pancreatic mucinous lesions was done from 1988 to 2005: 9 mucinous adenocarcinoma, 14 IPMN, 11 MCN, and 3 mucinous metaplasia. The majority (35/37) had been endoscopic ultrasound-guided fine-needle aspirations. The cellularity, background extracellular mucin, epithelial architecture, mucinous nature of the epithelium, cell shape, and nuclear features were evaluated on the cytology material. Of the 22 cytological features evaluated, the presence of three-dimensional clusters, micropapillary structures, and nuclear atypia, which includes nuclear crowding, increased N/C ratio, anisonucleosis, nuclear membrane contour irregularity, clumpy chromatin, and prominent nucleoli, was found to be consistently associated with mucinous adenocarcinoma. There were no statistically significant cytological features, which helped in differentiating IPMN, MCN, and mucinous metaplasia. There was a relatively high false-positive rate in the IPMN group (5/14, 36%). Review of the histological specimen showed severe dysplastic epithelial change in these cases. One false-positive case of mucinous metaplasia (1/3, 33%) showed marked intraepithelial acute inflammation. The cytological diagnosis of mucinous pancreatic lesions remains challenging, except for mucinous noncystic adenocarcinoma. The findings were largely nonspecific in the differentiation between IPMN, MCN, mucinous metaplasia, and incidentally sampled gastrointestinal epithelium. False-positive diagnosis of adenocarcinoma occurs not infrequently in the setting of IPMN with severe dysplastic epithelial change and in lesions with associated acute inflammation, and can be a pitfall in the diagnosis of these lesions. Diagn. Cytopathol. 2006;34: 724,730. © 2006 Wiley-Liss, Inc. [source] Diagnostic performance of the variant lymphocyte flag of the Abbott Cell-Dyn 4000 haematology analyserINTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, Issue 1 2004J. J. M. L. Hoffmann Summary Background: In addition to differential cell counts, modern haematology analysers generate suspect flags if abnormal cells are detected. Reports on validation of suspect flags are scarce. We have routine experience with the Abbott Cell-Dyn 4000 analyser for over 5 years and have previously demonstrated the utility of the blast flag. Here we report a similar study on the performance of the analyser's Variant Lymphocyte (VL) flag. Aim of the study: Evaluation of the diagnostic performance of the Cell-Dyn 4000 VL flag, as compared with lymphocyte morphology in blood smears. In addition, we investigated the usefulness of the numerical VL flag confidence index as provided by the analyser. Materials and methods: All samples generating a VL flag were reviewed over a 5-month period. We also reviewed smears from patients with known lymphoid disorders, even if the analyser did not flag the sample. Two experienced investigators assessed lymphocyte morphology independently. Results: In total, 187 samples were included in the study, of which 183 had a VL flag and four had not. Of the 183 flagged samples, 83 appeared to have abnormal lymphocyte morphology and 100, normal lymphocyte morphology. The sensitivity of the VL flag for detecting abnormal lymphocytes was 0.95 and the positive predictive value was 0.44. Using ROC analysis of the VL flag confidence index, the area under the ROC curve was 0.58 (95% confidence interval 0.50,0.65). Conclusions: The Cell-Dyn VL flag has reasonable sensitivity but a high false-positive rate. In addition, its performance is insufficient for detecting clinically relevant abnormal lymphocytes. As the VL flag appeared to rely mainly on numerical criteria, it has no added value over numerical criteria defined by the laboratory. [source] A Bayesian Sensitivity Analysis of Out-of-hospital 12-lead Electrocardiograms: Implications for Regionalization of Cardiac CareACADEMIC EMERGENCY MEDICINE, Issue 12 2007Scott T. Youngquist MD Background The effectiveness of out-of-hospital regionalization of ST-elevation myocardial infarction (STEMI) patients to hospitals providing primary percutaneous coronary intervention depends on the accuracy of the out-of-hospital 12-lead electrocardiogram (PHTL). Although estimates of sensitivity and specificity of PHTL for STEMI have been reported, the impact of out-of-hospital STEMI prevalence on positive predictive value (PPV) has not been evaluated. Objectives To describe the relationship between varying population STEMI prevalences and PHTL predictive values, using ranges of PHTL sensitivity and specificity. Methods The authors performed a Bayesian analysis using PHTL, where values for sensitivities (60%,70%), specificities (98%), and two prevalence ranges (0.5%,5% and 5%,20%) were derived from a literature review. PPV prediction intervals were compared with three months of prospective data from the Los Angeles County Emergency Medical Services Agency STEMI regionalization program. Results When the estimated prevalence of STEMI in the out-of-hospital population is 5%,20%, the median PPV of the PHTL is 83% (95% credible interval [CrI] = 53% to 97%). However, if the population prevalence of STEMI is between 0.5% and 5%, the median PPV is 43% (95% CrI = 12% to 86%). When the PPV prediction intervals were incorporated with the Los Angeles County Emergency Medical Services Agency data, the PPV was 66%. Conclusions Even when assuming high specificity for PHTL, the false-positive rate will be considerable if applied to a population at low risk for STEMI. Before broadening application of PHTL to low-risk patients, the implications of a high false-positive rate should be considered. [source] Prevalence of and screening for serious spinal pathology in patients presenting to primary care settings with acute low back painARTHRITIS & RHEUMATISM, Issue 10 2009Nicholas Henschke Objective To determine the prevalence of serious pathology in patients presenting to primary care settings with acute low back pain, and to evaluate the diagnostic accuracy of recommended "red flag" screening questions. Methods An inception cohort of 1,172 consecutive patients receiving primary care for acute low back pain was recruited from primary care clinics in Sydney, Australia. At the initial consultation, clinicians recorded responses to 25 red flag questions and then provided an initial diagnosis. The reference standard was a 12-month followup supplemented with a specialist review of a random subsample of participants. Results There were 11 cases (0.9%) of serious pathology, including 8 cases of fracture. Despite the low prevalence of serious pathology, most patients (80.4%) had at least 1 red flag (median 2, interquartile range 1,3). Only 3 of the red flags for fracture recommended for use in clinical guidelines were informative: prolonged use of corticosteroids, age >70 years, and significant trauma. Clinicians identified 5 of the 11 cases of serious pathology at the initial consultation and made 6 false-positive diagnoses. The status of a diagnostic prediction rule containing 4 features (female sex, age >70 years, significant trauma, and prolonged use of corticosteroids) was moderately associated with the presence of fracture (the area under the curve for the rule score was 0.834 [95% confidence interval 0.654,1.014]; P = 0.001). Conclusion In patients presenting to a primary care provider with back pain, previously undiagnosed serious pathology is rare. The most common serious pathology observed was vertebral fracture. Approximately half of the cases of serious pathology were identified at the initial consultation. Some red flags have very high false-positive rates, indicating that, when used in isolation, they have little diagnostic value in the primary care setting. [source] | ||||||||||