Diagnostic Pathology
Aminder Singh; Vikram Narang; Ankita Soni; Kajal Angural; Saveena Jindal; Bhavna Garg; Harpreet Kaur
Abstract
Background & Objective: An accurate Ki-67 labeling index assessment is critical for managing a few tumors, like breast carcinomas and neuroendocrine tumors. We aimed to determine the degree of agreement between digital image analysis (DIA) & eye-rolling assessment (EE) and DIA & manual count ...
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Background & Objective: An accurate Ki-67 labeling index assessment is critical for managing a few tumors, like breast carcinomas and neuroendocrine tumors. We aimed to determine the degree of agreement between digital image analysis (DIA) & eye-rolling assessment (EE) and DIA & manual count (MC) for Ki-67 LI scoring.Methods: A total of 120 cases (Both tru-cut biopsies and resected specimens) were selected during the study period from the institutional database wherein the Ki-67 labeling index was performed. The selected cases were divided into two groups, i.e., breast neoplasms and other neoplasms. The correlation between DIA & EE and DIA & MC for Ki-67 LI scoring was calculated in both groups.Results: A total of 113 cases were analyzed for Ki-67 LI by three different methods (EE, MC, & DIA); 7 cases were rejected because of poor image quality. Ki-67 LI scoring by DIA & EE was highly correlated in both the study groups with a Spearman's rank correlation coefficient of 0.809 (P=0.01) and 0.904 (P=0.01), respectively. Correlation between DIA & MC methods was also found to be almost perfect in both study groups with a Spearman's rank correlation coefficient of 0.974 (P=0.01) and 0.955 (P=0.01), respectively.Conclusion: ImmunoRatio is a free web-based digital image analysis application that can be used for Ki-67 LI assessment with considerable reliability and reproducibility. Yet, it carries a few limitations and demands a careful approach and final confirmation by an expert.
Gynecologic Pathology
Kaneeka Bhatnagar; Vikram Narang; Bhavna Garg; Neena Sood
Volume 13, Issue 3 , July 2018, , Pages 372-376
Abstract
Background and Objective: Xanthogranulomatous oophritis is an uncommon, non-neoplastic, chronic process in which the affected organ is destroyed by massive cellular infiltration of foamy histiocytes admixed with multinucleated giant cells, plasma cells, fibroblasts, neutrophils, and foci of necrosis. ...
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Background and Objective: Xanthogranulomatous oophritis is an uncommon, non-neoplastic, chronic process in which the affected organ is destroyed by massive cellular infiltration of foamy histiocytes admixed with multinucleated giant cells, plasma cells, fibroblasts, neutrophils, and foci of necrosis. The etiology of this entity is unknown, but it shares histopathological findings similar to those of xanthogranulomatous change occurring in various organs, including the gallbladder and kidney.Case Report: The current case was a 20-year-old female presenting with a tubo-ovarian mass with suspicion of malignancy on clinicoradiological findings and final diagnosis of xanthogranulomatous oophritis established on histopathology.Conclusion: Clinically and radiologically, xanthogranulomatous oophritis mimics tumor of the ovary and fallopian tube, thereby making it an important entity. A vigilant histopathological evaluation is important to diagnose the disease.
Vikram Narang; Harsimran Kaur; Pavneet Kaur Selhi; Neena Sood; Aminder Singh
Volume 11, Issue 2 , April 2016, , Pages 151-154
Abstract
Background: Quality assurance in the hematology laboratory is a must to ensure laboratory users of reliable test results with high degree of precision and accuracy. Even after so many advances in hematology laboratory practice, pre-analytical errors remain a challenge for practicing pathologists. This ...
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Background: Quality assurance in the hematology laboratory is a must to ensure laboratory users of reliable test results with high degree of precision and accuracy. Even after so many advances in hematology laboratory practice, pre-analytical errors remain a challenge for practicing pathologists. This study was undertaken with an objective to evaluate the types and frequency of preanalytical errors in hematology laboratory of our center. Methods: All the samples received in the Hematology Laboratory of Dayanand Medical College and Hospital, Ludhiana, India over a period of one year (July 2013-July 2014) were included in the study and preanalytical variables like clotted samples, quantity not sufficient, wrong sample, without label, wrong label were studied. Results: Of 471,006 samples received in the laboratory, preanalytical errors, as per the above mentioned categories was found in 1802 samples. The most common error was clotted samples (1332 samples, 0.28% of the total samples) followed by quantity not sufficient (328 sample, 0.06%), wrong sample (96 samples, 0.02%), without label (24 samples, 0.005%) and wrong label (22 samples, 0.005%) Conclusion: Preanalytical errors are frequent in laboratories and can be corrected by regular analysis of the variables involved. Rectification can be done by regular education of the staff.