Comparison between neuroimaging classifications and histopathological diagnoses using an international multicenter brain tumor magnetic resonance imaging database
| العنوان: | Comparison between neuroimaging classifications and histopathological diagnoses using an international multicenter brain tumor magnetic resonance imaging database |
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| المؤلفون: | Àngel Moreno-Torres, Pieter Wesseling, Carles Arús, John R. Griffiths, Margarida Julià-Sapé, J.J. Acebes, Dionisio Acosta, Carles Majós |
| المصدر: | Journal of Neurosurgery, 105, 1, pp. 6-14 Journal of Neurosurgery, 105, 6-14 |
| سنة النشر: | 2006 |
| مصطلحات موضوعية: | Adult, Male, Adolescent, Databases, Factual, Biopsy, Neoplasms, Nerve Tissue, Brain tumor, Glial tumor, computer.software_genre, Sensitivity and Specificity, Meningioma, Neuroimaging, Translational research [ONCOL 3], Positive predicative value, Glioma, medicine, Humans, Child, Aged, Neoplasm Staging, Retrospective Studies, Aged, 80 and over, Database, medicine.diagnostic_test, business.industry, Brain Neoplasms, Magnetic resonance imaging, Middle Aged, medicine.disease, Tissue engineering and pathology [NCMLS 3], Functional imaging [CTR 1], Magnetic Resonance Imaging, Child, Preschool, Female, Oligodendroglioma, Functional Imaging [UMCN 1.1], business, Nuclear medicine, computer |
| الوصف: | Object The aim of this study was to estimate the accuracy of routine magnetic resonance (MR) imaging studies in the classification of brain tumors in terms of both cell type and grade of malignancy. Methods The authors retrospectively assessed the correlation between neuroimaging classifications and histopathological diagnoses by using multicenter database records from 393 patients with brain tumors. An ontology was devised to establish diagnostic agreement. Each tumor category was compared with the corresponding histopathological diagnoses by dichotomization. Sensitivity, specificity, positive and negative predictive values (PPVs and NPVs, respectively), and the Wilson 95% confidence intervals (CI) for each were calculated. In routine reporting of MR imaging examinations, tumor types and grades were classified with a high specificity (85.2–100%); sensitivity varied, depending on the tumor type and grade, alone or in combination. The recognition of broad diagnostic categories (neuroepithelial or meningeal lesions) was highly sensitive, whereas when both detailed type and grade were considered, sensitivity diverged, being highest in low-grade meningioma (sensitivity 100%, 95% CI 96.2–100.0%) and lowest in high-grade meningioma (sensitivity 0.0%, 95% CI 0.0–65.8%) and low-grade oligodendroglioma (sensitivity 15%, 95% CI 5.2–36.0%). In neuroepithelial tumors, sensitivity was inversely related to the precision in reporting of grade and cellular origin; “glioma” was a frequent neuroimaging classification associated with higher sensitivity in the corresponding category. The PPVs varied among categories, in general being greater than their prevalence in this dataset. The NPV was high in all categories (69.8–100%). Conclusions The PPVs and NPVs provided in this study may be used as estimates of posttest probabilities of diagnostic accuracy using MR imaging. This study targets the need for noninvasively increasing sensitivity in categorizing most brain tumor types while retaining high specificity, especially in the differentiation of high- and low-grade glial tumor classes. |
| تدمد: | 0022-3085 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e2a0ec023d4824309e5adbe89875345Test https://pubmed.ncbi.nlm.nih.gov/16874886Test |
| حقوق: | RESTRICTED |
| رقم الانضمام: | edsair.doi.dedup.....3e2a0ec023d4824309e5adbe89875345 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00223085 |
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