Literature DB >> 31786548

The T2-FLAIR-mismatch sign as an imaging biomarker for IDH and 1p/19q status in diffuse low-grade gliomas: a systematic review with a Bayesian approach to evaluation of diagnostic test performance.

Anshit Goyal1, Yagiz U Yolcu1, Aakshit Goyal2, Panagiotis Kerezoudis1, Desmond A Brown1, Christopher S Graffeo1, Sandy Goncalves1, Terence C Burns1, Ian F Parney1.   

Abstract

OBJECTIVE: With the revised WHO 2016 classification of brain tumors, there has been increasing interest in imaging biomarkers to predict molecular status and improve the yield of genetic testing for diffuse low-grade gliomas (LGGs). The T2-FLAIR-mismatch sign has been suggested to be a highly specific radiographic marker of isocitrate dehydrogenase (IDH) gene mutation and 1p/19q codeletion status in diffuse LGGs. The presence of T2-FLAIR mismatch indicates a T2-hyperintense lesion that is hypointense on FLAIR with the exception of a hyperintense rim.
METHODS: In accordance with PRISMA guidelines, we performed a systematic review of the Ovid Medline, Embase, Scopus, and Cochrane databases for reports of studies evaluating the diagnostic performance of T2-FLAIR mismatch in predicting the IDH and 1p/19q codeletion status in diffuse LGGs. Results were combined into a 2 × 2 format, and the following diagnostic performance parameters were calculated: sensitivity, specificity, positive predictive value, negative predictive value, and positive (LR+) and negative (LR-) likelihood ratios. In addition, we utilized Bayes theorem to calculate posttest probabilities as a function of known pretest probabilities from previous genome-wide association studies and the calculated LRs. Calculations were performed for 1) IDH mutation with 1p/19q codeletion (IDHmut-Codel), 2) IDH mutation without 1p/19q codeletion (IDHmut-Noncodel), 3) IDH mutation overall, and 4) 1p/19q codeletion overall. The QUADAS-2 (revised Quality Assessment of Diagnostic Accuracy Studies) tool was utilized for critical appraisal of included studies.
RESULTS: A total of 4 studies were included, with inclusion of 2 separate cohorts from a study reporting testing and validation (n = 746). From pooled analysis of all cohorts, the following values were obtained for each molecular profile-IDHmut-Codel: sensitivity 30%, specificity 73%, LR+ 1.1, LR- 1.0; IDHmut-Noncodel: sensitivity 33.7%, specificity 98.5%, LR+ 22.5, LR- 0.7; IDH: sensitivity 32%, specificity 100%, LR+ 32.1, LR- 0.7; 1p/19q codeletion: sensitivity 0%, specificity 54%, LR+ 0.01, LR- 1.9. Bayes theorem was used to calculate the following posttest probabilities after a positive and negative result, respectively-IDHmut-Codel: 32.2% and 29.4%; IDHmut-Noncodel: 95% and 40%; IDH: 99.2% and 73.5%; 1p/19q codeletion: 0.4% and 35.1%.
CONCLUSIONS: The T2-FLAIR-mismatch sign is an insensitive but highly specific marker of IDH mutation but not 1p/19q codeletion in diffuse LGGs, although there may be significant exceptions. These findings support the utility of T2-FLAIR mismatch as an imaging-based biomarker for positive selection of patients with IDH-mutant gliomas.

Entities:  

Keywords:  IDH = isocitrate dehydrogenase; IDHmut-Codel = IDH mutation and 1p/19q codeletion; IDHmut-Noncodel = IDH mutation without 1p/19q codeletion; LGG = low-grade glioma; LR = likelihood ratio; NPV = negative predictive value; PPV = positive predictive value; QUADAS-2 = revised Quality Assessment of Diagnostic Accuracy Studies; brain neoplasm; brain tumor; oligodendroglioma

Mesh:

Substances:

Year:  2019        PMID: 31786548     DOI: 10.3171/2019.9.FOCUS19660

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  7 in total

1.  T2-fluid-attenuated inversion recovery mismatch sign in lower grade gliomas: correlation with pathological and molecular findings.

Authors:  Shinji Yamashita; Hideo Takeshima; Yoshihito Kadota; Minako Azuma; Tsuyoshi Fukushima; Natsuki Ogasawara; Tomoki Kawano; Mitsuru Tamura; Jyunichiro Muta; Kiyotaka Saito; Go Takeishi; Asako Mizuguchi; Takashi Watanabe; Hajime Ohta; Kiyotaka Yokogami
Journal:  Brain Tumor Pathol       Date:  2022-04-28       Impact factor: 3.298

Review 2.  Preoperative Diagnosis and Molecular Characterization of Gliomas With Liquid Biopsy and Radiogenomics.

Authors:  Carmen Balana; Sara Castañer; Cristina Carrato; Teresa Moran; Assumpció Lopez-Paradís; Marta Domenech; Ainhoa Hernandez; Josep Puig
Journal:  Front Neurol       Date:  2022-05-26       Impact factor: 4.086

Review 3.  MRI biomarkers in neuro-oncology.

Authors:  Marion Smits
Journal:  Nat Rev Neurol       Date:  2021-06-20       Impact factor: 42.937

4.  Clinicopathological analysis of T2-FLAIR mismatch sign in lower-grade gliomas.

Authors:  Shoichi Deguchi; Takuma Oishi; Koichi Mitsuya; Yuko Kakuda; Masahiro Endo; Takashi Sugino; Nakamasa Hayashi
Journal:  Sci Rep       Date:  2020-06-22       Impact factor: 4.379

Review 5.  Predictive accuracy of T2-FLAIR mismatch sign for the IDH-mutant, 1p/19q noncodeleted low-grade glioma: An updated systematic review and meta-analysis.

Authors:  Yoon Ah Do; Se Jin Cho; Byung Se Choi; Sung Hyun Baik; Yun Jung Bae; Leonard Sunwoo; Cheolkyu Jung; Jae Hyoung Kim
Journal:  Neurooncol Adv       Date:  2022-01-27

6.  Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach.

Authors:  Mert Karabacak; Burak Berksu Ozkara; Seren Mordag; Sotirios Bisdas
Journal:  Quant Imaging Med Surg       Date:  2022-08

7.  Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas.

Authors:  Ziren Kong; Chendan Jiang; Yiwei Zhang; Sirui Liu; Delin Liu; Zeyu Liu; Wenlin Chen; Penghao Liu; Tianrui Yang; Yuelei Lyu; Dachun Zhao; Hui You; Yu Wang; Wenbin Ma; Feng Feng
Journal:  Front Neurol       Date:  2020-10-22       Impact factor: 4.003

  7 in total

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