The role of 2-hydroxyglutarate magnetic resonance spectroscopy for the determination of isocitrate dehydrogenase status in lower grade gliomas versus glioblastoma: a systematic review and meta-analysis of diagnostic test accuracy

Bhandari, Abhishta; Sharma, Chinmay; Ibrahim, Muhammad; Riggs, Matthew; Jones, Rhondda; Lasocki, Arian

doi:10.1007/s00234-021-02702-1

Cited by 12 publications

(8 citation statements)

References 25 publications

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“…The image information mining is insufficient, and a single sequence cannot reflect the postoperative heterogeneity of the tumor tissue and the comprehensive information about the structural and functional changes [ 18 ]. In addition, partial advanced MR imaging (such as MRS and PWI) hinders the wide application of advanced MR imaging due to its relatively complex image acquisition and tedious postprocessing processes [ 19 , 20 ]. For example, the results of MRS can be misleading because the spectra on the 3.0-T MRI scanner largely overlap with the rich brain metabolites, the spectral baseline is easily affected by substances such as blood, and these misleading results are very common in the postoperative treatment of gliomas [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma

Jing

Yang

Peng

et al. 2022

BioMed Research International

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Objective. To evaluate the diagnostic value of multimodal MRI radiomics based on T2-weighted fluid attenuated inversion recovery imaging (T2WI-FLAIR) combined with T1-weighted contrast enhanced imaging (T1WI-CE) in the early differentiation of high-grade glioma recurrence from pseudoprogression. Methods. A total of one hundred eighteen patients with brain gliomas who were diagnosed from March 2014 to April 2020 were retrospectively analyzed. According to the clinical characteristics, the patients were randomly split into a training group ( n = 83 ) and a test group ( n = 35 ) at a 7 : 3 ratio. The region of interest (ROI) was delineated, and 2632 radiomic features were extracted. We used multiple logistic regression to establish a classification model, including the T 1 model, T 2 model, and T 1 + T 2 model, to differentiate recurrence from pseudoprogression. The diagnostic efficiency of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUC) and accuracy (ACC) and by analyzing the calibration curve of the nomogram and decision curve. Results. There were 75 cases of recurrence and 43 cases of pseudoprogression. The diagnostic efficacies of the multimodal MRI-based radiomic model were relatively high. The AUC values and ACC of the training group were 0.831 and 77.11%, respectively, and the AUC values and ACC of the test group were 0.829 and 88.57%, respectively. The calibration curve of the nomogram showed that the discrimination probability was consistent with the actual occurrence in the training group, and the discrimination probability was roughly the same as the actual occurrence in the test group. In the decision curve analysis, the T 1 + T 2 model showed greater overall net efficiency. Conclusion. The multimodal MRI radiomic model has relatively high efficiency in the early differentiation of recurrence from pseudoprogression, and it could be helpful for clinicians in devising correct treatment plans so that patients can be treated in a timely and accurate manner.

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Section: Discussionmentioning

confidence: 99%

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma

Jing

Yang

Peng

et al. 2022

BioMed Research International

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“…29 Existen múltiples limitaciones para la realización de este estudio dentro de los cuales están descritos la falsa identificación este metabolito en presencia de GABA, Glu, Gln y lípidos que suelen encontrarse en los centros necróticos y se superponen a los componentes del 2HG: 2 Hβs en 1,91 ppm, 2 Hγs en 2.24 ppm y el Hα que se superpone con el Myo. 30 También puede resultar una infraestimación del mismo en caso de volumen parcial en lesiones de pequeño tamaño y en concentraciones bajas del mismo. 28 Sin embargo surgen posibles soluciones como la utilización de la relación 2HG/Lip+Lact en vez de únicamente el valor absoluto de 2HG para mejorar la sensibilidad y la especificidad, tomando el valor de corte de 0,63 31 y la relación 2HG/Cr con valor de corte de 0,085.…”

Section: Espectroscopía Por Resonancia Magnéticaunclassified

Utilidad de la Espectroscopía por Resonancia Magnética para la diferenciación de gliomas de alto y bajo grado.

Fernández¹,

Burgos²

2023

Rev Cien CMDLT

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Los gliomas son tumores cerebrales que se clasifican según su malignidad. La clasificación de un glioma depende de la histología y de características moleculares y genéticas, asociadas al pronóstico. Se pretende revisar la utilidad de métodos como la espectroscopía por resonancia magnética para la diferenciación de gliomas de bajo y alto grado como método no invasivo para predecir su comportamiento y así la sobrevida del paciente. Se revisan artículos publicados en inglés y español en los últimos 5 años en bases de dato como pubmed y embase, eliminándose artículos cuyo título, resumen o contenido no entraban dentro de los criterios de inclusión, resultando en un total de 35 artículos finales.

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“…Проведя стратификацию по степени злокачественности, A. Bhandari и соавторы (2021) в своем метаанализе продемонстрировали высокую гетерогенность у пациентов с глиомами низкой степени злокачественности, что свидетельствует о необходимости дальнейших исследований. Ученые обнаружили, что при выявлении 2HG с помощью МРС у пациентов с глиобластомами показатели специфичности были выше, чем чувствительности, в то время как в случае с низкозлокачественными глиомами, наоборот, чувствительность была выше, чем специфичность [32]. Следует принимать это во внимание при использовании МРС для определения 2HG в клинической практике, особенно учитывая большие различия в вероятности наличия IDH-мутаций между глиобластомами и глиомами низкой степени злокачественности [29,33].…”

Section: протонная магнитно-резонансная спектроскопия как метод прогн...unclassified

Certain aspects of radiomics and radiogenomics in glioblastoma: what the images hide?

Maslov

Труфанов

Efimtsev

2022

Transl. med. (Print)

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Radiogenomics is a novel and promising field connecting a variety of imaging possibilities with various genomic events. Advances in genomics provided by the Cancer Genome Atlas and Human Genome projects made it possible to integrate this information with imaging phenotypes of malignant brain tumors for a more detailed understanding of their biology. Radiomics, in turn, lies at the intersection of radiology, computer science and mathematical statistics. Unlike radiogenomics, it does not focus on the specific relationship between the radiophenotype and tumor genotype, but rather identifies the analysis methodology. With its help, quantitative features are extracted from medical images, establishing patient’s genotype-phenotype correlation. This contributes to the risk stratification and patient management. The article discusses some topical aspects of radiomics and radiogenomics of glioblastomas and their application in neurooncology.Previously, several groups of researchers showed the relationship between visualization features of glioblastomas and the prognosis of the course of the disease.One of the modern problems of radiomics is the search for imaging features that can serve as key prognostic markers for risk stratification of patients with glioblastomas using machine learning tools.Thus, the prospects for the development of radiomics and radiogenomics methods include predicting patient survival, differential diagnosis of glioblastomas, determining the degree of malignancy, identifying mutations and amplifications, detecting tumor progression, pseudoprogression, etc.

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The role of 2-hydroxyglutarate magnetic resonance spectroscopy for the determination of isocitrate dehydrogenase status in lower grade gliomas versus glioblastoma: a systematic review and meta-analysis of diagnostic test accuracy

Cited by 12 publications

References 25 publications

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma

Utilidad de la Espectroscopía por Resonancia Magnética para la diferenciación de gliomas de alto y bajo grado.

Certain aspects of radiomics and radiogenomics in glioblastoma: what the images hide?

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