Context: Central nervous system lesions are diverse and remain one of the most challenging domains for neuropathologists. Intraoperative cytological diagnosis is now a universally accepted technique in diagnosis of central nervous system (CNS) lesions.
Aims: 1) To analyze and compare cytomorphological features of CNS lesions in intraoperative squash smears with histopathology, immunohistochemistry, and preoperative radiological diagnosis and 2) to determine the diagnostic accuracy, sensitivity, and specificity of intraoperative squash cytology.
Settings And Design: Prospective study conducted at a tertiary healthcare centre over a period of two years.
Methods And Material: All biopsy materials which underwent squash cytology and histopathological examination were collected, evaluated, classified, and graded according to WHO classification of CNS Tumors, 2016. The squash cytosmear diagnosis was compared with histopathological features and radiological diagnosis. Discordances were evaluated.
Statistical Analysis Used: The cases were categorized into true positives, false positives, true negatives, and false negatives. Diagnostic accuracy, sensitivity, and specificity were calculated from 2*2 table.
Results: A total of 190 cases were included in the study. A total of 182 cases (95.70%) were neoplastic of which 87.36% were primary CNS neoplasms. Diagnostic accuracy in non-neoplastic lesions was 88.8%. Most common neoplastic lesions were glial tumors (35.7%), meningioma (17.3%), tumors of cranial and spinal nerves (12%), and metastatic lesions (12%). Diagnostic accuracy of squash cytology was higher in glial tumors (93.8%), meningioma (96.7%), and metastatic lesions (95.45%). Diagnostic accuracy of radiological modalities was 85.78%.
Conclusions: A good familiarity with cytomorphological features of CNS lesions, clinical details, radiological findings, and intraoperative impression of neurosurgeon enables the pathologist to improve diagnostic accuracy and reduce errors.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167832 | PMC |
http://dx.doi.org/10.4103/joc.joc_70_22 | DOI Listing |
Alzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Numerous drugs (including disease-modifying therapies, cognitive enhancers and neuropsychiatric treatments) are being developed for Alzheimer's and related dementias (ADRD). Emerging neuroimaging modalities, and genetic and other biomarkers potentially enhance diagnostic and prognostic accuracy. These advances need to be assessed in real-world studies (RWS).
View Article and Find Full Text PDFUp to date, there are no precise reports of the prevalence of dementia with Lewy bodies (DLB) in Latin America. This can be explained by the lack of research studies and general little awareness about the disease. Notably, collaborative clinical studies are lacking, and DLB patients remain underrepresented despite their significant morbidity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National University, Muscat, Muscat, Oman.
Background: This study explores Alzheimer's prediction through brain MRI images, utilizing Convolutional Neural Networks (CNNs) and Lime interpretability. Based on an extensive ADNI MRI dataset, we demonstrate promising results in predicting Alzheimer's disease. Local Interpretable Model Agnostic Explanations (LIME) shed light on decision-making processes, enhancing transparency.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Education University of Hong Kong, Tai Po, New Territories, Hong Kong.
Background: Lexical retrieval therapy (LRT) has been proven to be an effective speech therapy for individuals with semantic variant primary progressive aphasia (svPPA) and semantic cue plays an important ingredient in LRT. In recent findings, differential performance in using and choosing noun-classifiers amongst Chinese individuals with the three subtypes of PPA were observed. The current study aims to explore the treatment effect of employing noun-classifier as a semantic cue of LRT for Cantonese-speaking svPPA.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Infovital, Envigado, Colombia.
Background: Currently, the diagnosis of Alzheimer's disease dementia (ADD) is determined based on clinical criteria, as well as specific imaging and cerebrospinal fluid (CSF) biomarker profiles. However, healthcare professionals face a variety of challenges that hinder their application, such as the interpretation and integration or large amounts of data derived from neuropsychological assessment, the importance attributed to each source of information and the impact of unknown variables, among others. Therefore, this research focuses on the development of a computerized diagnostic tool based on Artificial Intelligence (AI), to strengthen the capacity of healthcare professionals in the identification and diagnosis of ADD.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!