Purpose: The frequency of diagnostic error in patients who have a lung mass and a pathology specimen is as high as 15%. This study examined the role of inter-pathologist agreement in identifying the cause of error in these patients.
Methods: Pathologists from six institutions reviewed the slides of 40 patients who had a pulmonary specimen false-negative diagnosis. The initial assessment of error cause arose from cytologic-histologic correlation slide review of discrepant diagnostic samples in patients who had both a bronchial brushing cytologic and surgical specimen. The cause of error was attributed either to clinical sampling (diagnostic material obtained in one but not the other sample) or interpretation (pathologist failed to identify the salient diagnostic features). The pairwise kappa (kappa) statistic was used to calculate interobserver agreement between the review and original diagnoses and between the separate review diagnoses.
Results: The pairwise kappa statistic ranged widely from -0.154 to 1.0, and the pairwise kappa statistic of the slides from one institution was undetermined because that institutional pathologist never made the assessment that error was secondary to interpretation. Agreement for observers within the same institution was better than agreement between observers from different institutions.
Conclusion: Pathologists exhibit poor agreement in determining the cause of error for pulmonary specimens sent for cancer diagnosis. We developed a psychosocial hypothesis (the "Big Dog" Effect) that partially explains biases in error assessment. This lack of agreement precludes confident targeting of these errors for quality improvement interventions with prospects of success across a variety of institutions.
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http://dx.doi.org/10.1200/JCO.2005.04.3661 | DOI Listing |
Diabet Med
January 2025
Department of Internal Medicine, University of Kentucky, Lexington, USA.
Aim: Several wordings of the definition of severe hypoglycaemia (SH) exist. This study aims to evaluate how different SH definition wordings affect SH history assessment.
Methods: In this cross-sectional study, surveys were emailed to registrants of the T1D Exchange, a U.
Natl Sci Rev
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, School of Electronic Science and Engineering, Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Heterogeneous catalysts for parahydrogen-induced polarization (HET-PHIP) would be useful for producing highly sensitive contrasting agents for magnetic resonance imaging (MRI) in the liquid phase, as they can be removed by simple filtration. Although homogeneous hydrogenation catalysts are highly efficient for PHIP, their sensitivity decreases when anchored on porous supports due to slow substrate diffusion to the active sites and rapid depolarization within the channels. To address this challenge, we explored 2D metal-organic layers (MOLs) as supports for active Rh complexes with diverse phosphine ligands and tunable hydrogenation activities, taking advantage of the accessible active sites and chemical adaptability of the MOLs.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Oral Medicine and Radiology, Teerthanker Mahaveer Dental College and Research Centre, Moradabad, Uttar Pradesh, India.
A novel classification system, termed the Sivan classification, was developed to enhance the diagnosis of jaw lesions by utilizing visual volumetric analysis of three-dimensional Cone Beam Computed Tomography (CBCT) images. This classification groups lesions into ten categories, primarily divided into hypovolumetric, hypervolumetric, and normovolumetric groups. To validate this system, 10 raters-comprising 5 general dentists and 5 oral radiology specialists-assessed the CBCT images and diagnosed the lesions using the Sivan classification.
View Article and Find Full Text PDFHistopathology
December 2024
School of Cancer and Pharmaceutical Sciences, Kings College London, London, UK.
Aims: Atypical ductal hyperplasia and flat epithelial atypia (FEA) have defined diagnostic criteria, yet there is variation in the interpretation of these criteria, particularly when the atypia is present in a background of columnar cell lesions (CCLs). This study focuses upon cases which are especially challenging or difficult to classify reproducibly according to existing criteria.
Methods And Results: Thirteen breast pathology experts were asked to classify 10 challenging cases with CLLs as atypical or non-atypical.
J Econ Entomol
December 2024
Department of Entomology, The Vernon James Center, North Carolina State University, Plymouth, NC, USA.
We assessed the utility of a Bayesian analysis of dose-mortality curves using probit analysis. A Bayesian equivalent of a conventional single population probit analysis using Abbott's correction demonstrated the ability of the Bayesian model to recover parameters from generative data. We then developed a model that removed Abbott's correction and estimated natural survivorship as part of the overall model fitting process.
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