Literature DB >> 26849373

Calcification on CT is a simple and valuable preoperative indicator of 1p/19q loss of heterozygosity in supratentorial brain tumors that are suspected grade II and III gliomas.

Taiichi Saito1,2, Yoshihiro Muragaki3, Takashi Maruyama4, Takashi Komori5, Manabu Tamura3, Masayuki Nitta4, Shunsuke Tsuzuki4, Takakazu Kawamata4.   

Abstract

Gliomas with 1p/19q loss of heterozygosity (LOH) are known to be associated with longer patient survival and higher sensitivity to treatment than tumors without 1p/19q LOH. This study was designed to clarify whether the preoperative finding of calcification on CT was correlated with 1p/19q LOH in patients with suspected WHO grade II and III gliomas. This study included 250 adult patients who underwent resection for primary supratentorial tumors at Tokyo Women's Medical University Hospital. The tumors were suspected, based on MRI findings, to be WHO grade II or III gliomas. The presence of calcification on the patients' CT images was qualitatively evaluated before treatment. After surgery, the resected tumors were examined to determine their 1p/19q status and mutations of IDH1 and p53. The presence of calcification was significantly correlated with 1p/19q LOH (P < 0.0001), with a positive predictive value of 91 %. The tumors of all the 78 patients with calcification were diagnosed as oligodendroglial tumors. Seventy of these patients showed classic oligodendroglial features, while 8 patients showed non-classic features. Calcification on CT is a simple and valuable preoperative indicator of 1p/19q LOH in supratentorial brain tumors that are suspected to be WHO grade II and III gliomas.

Entities:  

Keywords:  1p/19q loss of heterozygosity; Calcification; Computed tomography; Glioma; IDH1

Mesh:

Year:  2016        PMID: 26849373     DOI: 10.1007/s10014-016-0249-5

Source DB:  PubMed          Journal:  Brain Tumor Pathol        ISSN: 1433-7398            Impact factor:   3.298


  12 in total

Review 1.  Neuro-Oncology and Radiogenomics: Time to Integrate?

Authors:  A Lasocki; M A Rosenthal; S J Roberts-Thomson; A Neal; K J Drummond
Journal:  AJNR Am J Neuroradiol       Date:  2020-09-10       Impact factor: 3.825

2.  MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.

Authors:  Shun Zhang; Gloria Chia-Yi Chiang; Rajiv S Magge; Howard Alan Fine; Rohan Ramakrishna; Eileen Wang Chang; Tejas Pulisetty; Yi Wang; Wenzhen Zhu; Ilhami Kovanlikaya
Journal:  Magn Reson Imaging       Date:  2018-11-19       Impact factor: 2.546

3.  Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI.

Authors:  E Aliotta; H Nourzadeh; P P Batchala; D Schiff; M B Lopes; J T Druzgal; S Mukherjee; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-14       Impact factor: 3.825

4.  Mucosal thickening of the maxillary sinus is frequently associated with diffuse glioma patients and correlates with poor survival prognosis of GBM patients: comparative analysis to meningioma patients.

Authors:  Taiichi Saito; Yoshihiro Muragaki; Takashi Maruyama; Kayoko Abe; Takashi Komori; Kosaku Amano; Seiichiro Eguchi; Masayuki Nitta; Shunsuke Tsuzuki; Atsushi Fukui; Takakazu Kawamata
Journal:  Neurosurg Rev       Date:  2021-02-03       Impact factor: 3.042

5.  Conventional MRI features can predict the molecular subtype of adult grade 2-3 intracranial diffuse gliomas.

Authors:  Arian Lasocki; Michael E Buckland; Katharine J Drummond; Heng Wei; Jing Xie; Michael Christie; Andrew Neal; Frank Gaillard
Journal:  Neuroradiology       Date:  2022-05-24       Impact factor: 2.804

6.  MRI features predict tumor grade in isocitrate dehydrogenase (IDH)-mutant astrocytoma and oligodendroglioma.

Authors:  David A Joyner; John Garrett; Prem P Batchala; Bharath Rama; Joshua R Ravicz; James T Patrie; Maria-B Lopes; Camilo E Fadul; David Schiff; Rajan Jain; Sohil H Patel
Journal:  Neuroradiology       Date:  2022-08-12       Impact factor: 2.995

7.  "Real world" use of a highly reliable imaging sign: "T2-FLAIR mismatch" for identification of IDH mutant astrocytomas.

Authors:  Rajan Jain; Derek R Johnson; Sohil H Patel; Mauricio Castillo; Marion Smits; Martin J van den Bent; Andrew S Chi; Daniel P Cahill
Journal:  Neuro Oncol       Date:  2020-07-07       Impact factor: 12.300

8.  Prediction of lower-grade glioma molecular subtypes using deep learning.

Authors:  Yutaka Matsui; Takashi Maruyama; Masayuki Nitta; Taiichi Saito; Shunsuke Tsuzuki; Manabu Tamura; Kaori Kusuda; Yasukazu Fukuya; Hidetsugu Asano; Takakazu Kawamata; Ken Masamune; Yoshihiro Muragaki
Journal:  J Neurooncol       Date:  2019-12-21       Impact factor: 4.130

Review 9.  Grading of adult diffuse gliomas according to the 2021 WHO Classification of Tumors of the Central Nervous System.

Authors:  Takashi Komori
Journal:  Lab Invest       Date:  2021-09-09       Impact factor: 5.662

10.  IDH mutant and 1p/19q co-deleted oligodendrogliomas: tumor grade stratification using diffusion-, susceptibility-, and perfusion-weighted MRI.

Authors:  Yu Lin; Zhen Xing; Dejun She; Xiefeng Yang; Yingyan Zheng; Zebin Xiao; Xingfu Wang; Dairong Cao
Journal:  Neuroradiology       Date:  2017-05-04       Impact factor: 2.804

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