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Journal of Magnetic Resonance Imaging :... Nov 2023As an important genomic marker for oligodendrogliomas, early determination of 1p/19q co-deletion status is critical for guiding therapy and predicting prognosis in... (Review)
Review
As an important genomic marker for oligodendrogliomas, early determination of 1p/19q co-deletion status is critical for guiding therapy and predicting prognosis in patients with glioma. The purpose of this study is to systematically review the literature concerning the magnetic resonance imaging (MRI) with artificial intelligence (AI) methods for predicting 1p/19q co-deletion status in glioma. PubMed, Scopus, Embase, and IEEE Xplore were searched in accordance with the Preferred Reporting Items for systematic reviews and meta-analyses guidelines. Methodological quality of studies was assessed according to the Quality Assessment of Diagnostic Accuracy Studies-2. Finally, 28 studies were included in the quantitative analysis. Diagnostic test accuracy reached an area under the ROC curve of 0.71-0.98 were reported in 24 studies. The remaining four studies with no available AUC provided an accuracy of 0.75-0. 89. The included studies varied widely in terms of imaging sequences, input features, and modeling methods. The current review highlighted that integrating MRI with AI technology is a potential tool for determination 1p/19q status pre-operatively and noninvasively, which can possibly help clinical decision-making. However, the reliability and feasibility of this approach still need to be further validated and improved in a real clinical setting. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: 2.
Topics: Humans; Artificial Intelligence; Brain Neoplasms; Reproducibility of Results; Chromosome Deletion; Glioma; Isocitrate Dehydrogenase; Oligodendroglioma; Mutation
PubMed: 37083159
DOI: 10.1002/jmri.28737 -
Current Pharmaceutical Design 2024The prognosis for primary brain tumors, like other CNS tumors, can vary greatly based on several factors, such as treatment history, age and gender at diagnosis, ethnic... (Review)
Review
BACKGROUND
The prognosis for primary brain tumors, like other CNS tumors, can vary greatly based on several factors, such as treatment history, age and gender at diagnosis, ethnic background, and treatment plan.
MATERIALS AND METHODS
A systematic review approach was used to gather relevant data from PubMed, ScienceDirect, Google Scholar, and other sources.
RESULTS
The survival rate of primary brain tumors and other CNS tumors appears to be correlated with several variables, including treatment history, gender, age at evaluation, race/ethnicity, and treatment regimen; this emphasizes the importance of routinely updating epidemiological data on primary brain tumors to advance biological understanding.
CONCLUSION
This study draws attention to the variations in the median survival times of the various kinds of primary brain tumors, with oligodendroglioma having the longest median survival time (199 months, or approximately 16.6 years) and glioblastoma having the shortest (8 months).
Topics: Humans; Brain Neoplasms; Survival Rate; Prognosis; Data Analysis; Glioblastoma
PubMed: 38571355
DOI: 10.2174/0113816128306113240328050608 -
World Neurosurgery May 2024Oligosarcoma is a rare central nervous system (CNS) neoplasm that may arise following oligodendroglioma resection, which demonstrates a unique genetic profile and...
BACKGROUND
Oligosarcoma is a rare central nervous system (CNS) neoplasm that may arise following oligodendroglioma resection, which demonstrates a unique genetic profile and aggressive clinical phenotype. We present a systematic review and illustrative case example emphasizing the clinical and prognostic features of this unusual and unfavorable neuro-oncologic disease.
METHODS
Systematic literature review and illustrative case report.
RESULTS
A 41-year-old man who had undergone 2 neurosurgical resections for a World Health Organization grade II oligodendroglioma (Ki-67 = 5-10%, 1p/19q codeleted, IDH2 mutated), without adjuvant chemoradiation, presented with seizures seven years after resection. An extra-axial mass was identified adjacent to the resection cavity, in which gross total resection was achieved. Pathology confirmed World Health Organization grade IV oligosarcoma (Ki-67 = 20%). Adjuvant chemoradiation was initiated, with disease control observed over 6 months of follow-up. Seven publications met inclusion criteria. Oligosarcoma has been confirmed in 36 lesions, arising in 35 patients; 5 were primary oligosarcoma, while 31 occurred in the setting of prior resected oligodendroglioma or oligoastrocytoma. Features shared by these lesions include regain of H3K27me3 expression, 1p/19q codeletion, homozygous deletion of CDKN2A/B, loss of 6q, loss of NF1 and YAP1, and attenuation of CpG island methylator. Median survival after oligosarcoma diagnosis was 1.3 years (range, 0-5.2; n = 35).
CONCLUSIONS
Oligosarcoma is a prognostically unfavorable CNS neoplasm with characteristic imaging and pathologic features, and a strong association with previously resected oligodendroglioma. Aggressive treatment is recommended, including gross total resection and adjuvant chemoradiation. Further study is required to define optimal treatment protocol for this CNS malignancy.
Topics: Humans; Oligodendroglioma; Adult; Male; Brain Neoplasms; YAP-Signaling Proteins; Adaptor Proteins, Signal Transducing; Chemoradiotherapy, Adjuvant
PubMed: 38490447
DOI: 10.1016/j.wneu.2024.03.028