Literature DB >> 30335178

Frequent Diagnostic Under-Grading in Isocitrate Dehydrogenase Wild-Type Gliomas due to Small Pathological Tissue Samples.

Marielena Gutt-Will1, Michael Murek1, Christa Schwarz1, Ekkehard Hewer2, Sonja Vulcu1, Jürgen Beck1, Andreas Raabe1, Philippe Schucht1.   

Abstract

BACKGROUND: In contrast to isocitrate dehydrogenase (IDH) mutation analysis, which is homogenous within a given tumor, diagnostic errors in histological analysis following the 2016 World Health Organization (WHO) classification could be due to small samples because of histological heterogeneity.
OBJECTIVE: To assess whether the sample size sent to histopathology influences the tumor grading in IDH wild-type gliomas.
METHODS: Histologically diagnosed WHO grade, sample volume, and preoperative tumor volume data of 111 patients aged who received resection of IDHwt gliomas between January 2007 and December 2015 at our hospital were evaluated. The differences between absolute and relative pathological sample sizes stratified by WHO grade were conducted using One-Way-Permutation-Test.
RESULTS: With a mean sample size of 10.9 cc, 83.8% of patients were histologically diagnosed as WHO grade IV, while 16.2% of patients with a mean sample size of 2.62 cc were diagnosed as WHO grade II/III. One-Way-Permutation-Test showed a significant difference between absolute tissue samples stratified by WHO grade (P = .0374). The distribution of preoperative tumor volumes with WHO grade IV vs WHO grade II/III showed no significant difference (P = .8587). Of all tumors with a sample size >10 cc 100% were pathologically diagnosed as WHO grade IV and those with sample size >5 cc 93.5% were diagnosed as WHO grade IV.
CONCLUSION: Small sample sizes are associated with a higher risk of under-estimating malignancy in histological grading in IDHwt gliomas. This study suggests a standard minimum sample size (>5cc) in every resection. Modalities of adjuvant treatment for IDHwt, WHO grade II/III gliomas need to reflect a prognosis that is only marginally better than of a glioblastoma.
Copyright © 2018 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Glioma; Histology; IDH; Molecular pathology; Pathology; Sampling error; WHO grade

Mesh:

Substances:

Year:  2019        PMID: 30335178     DOI: 10.1093/neuros/nyy433

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  4 in total

1.  TSPO PET, tumour grading and molecular genetics in histologically verified glioma: a correlative 18F-GE-180 PET study.

Authors:  M Unterrainer; D F Fleischmann; F Vettermann; V Ruf; L Kaiser; D Nelwan; S Lindner; M Brendel; V Wenter; S Stöcklein; J Herms; V M Milenkovic; R Rupprecht; J C Tonn; C Belka; P Bartenstein; M Niyazi; N L Albert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-09-05       Impact factor: 9.236

2.  Diagnostic and Prognostic Value of pH- and Oxygen-Sensitive Magnetic Resonance Imaging in Glioma: A Retrospective Study.

Authors:  Jingwen Yao; Akifumi Hagiwara; Talia C Oughourlian; Chencai Wang; Catalina Raymond; Whitney B Pope; Noriko Salamon; Albert Lai; Matthew Ji; Phioanh L Nghiemphu; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  Cancers (Basel)       Date:  2022-05-20       Impact factor: 6.575

Review 3.  MicroRNA based theranostics for brain cancer: basic principles.

Authors:  George E D Petrescu; Alexandru A Sabo; Ligia I Torsin; George A Calin; Mihnea P Dragomir
Journal:  J Exp Clin Cancer Res       Date:  2019-05-29

4.  The histological representativeness of glioblastoma tissue samples.

Authors:  Vilde Elisabeth Mikkelsen; Ole Solheim; Øyvind Salvesen; Sverre Helge Torp
Journal:  Acta Neurochir (Wien)       Date:  2020-10-21       Impact factor: 2.216

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.