ArticleIranian journal of neurology2015
Accuracy of magnetic resonance spectroscopy in distinction between radiation necrosis and recurrence of brain tumors.
Article in Iranian journal of neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Ultra-High-Field MRI in the Diagnosis and Management of Gliomas: A Systematic Review.Frontiers in neurology · 2022Pooled it
- Advances in the prevention and treatment of radiation-induced brain necrosis: a narrative review.Frontiers in oncology · 2026Review
- Late-onset radiation-induced brain necrosis following allogeneic transplantation for CNS-involved acute myeloid leukemia after whole brain irradiation: two case reports.Blood science (Baltimore, Md.) · 2025Article
- A MRI-based radiomics model for predicting the response to anlotinb combined with temozolomide in recurrent malignant glioma patients.Discover oncology · 2023Article
- Clinical utility of MR spectroscopy for gynecological pelvic abscesses using next-generation sequencing technology for the detection of causative bacteria.Experimental and therapeutic medicine · 2023Article
- Magnetic Resonance Spectroscopy in Diagnosis and Follow-Up of Gliomas: State-of-the-Art.Cancers · 2022Review
- Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy.Medical physics · 2022Article
- Article
- Pseudoprogression in Glioblastoma: Role of Metabolic and Functional MRI-Systematic Review.Biomedicines · 2022Review
- Interest of routine MR spectroscopic techniques for differential diagnosis between radionecrosis and progression of brain tumor lesions.European journal of radiology open · 2022Article
- Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors.Current oncology reports · 2021Review
- Potential biomarkers of childhood brain tumor identified by proteomics of cerebrospinal fluid from extraventricular drainage (EVD).Scientific reports · 2021Article
- Pseudoprogression of brain tumors.Journal of magnetic resonance imaging : JMRI · 2018Article
- Comprehensive analysis of Iranian reports of pediatric central nervous system tumors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2017Article
- Radionecrosis and Complete Response After Multiple Reirradiations to Recurrent Brain Metastases From Lung Cancer Over 10 Years: Is There a Limit?Advances in radiation oncologyArticle
- MRS Imaging as Complement to MRI in the Post-treatment Follow-up of Glial Brain Tumors.Cancer diagnosis & prognosisArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDistinction between radiation necrosis and recurrence of intraparenchymal tumors is necessary to select the appropriate treatment, but it is often difficult based on imaging features alone. We developed an algorithm for analyzing magnetic resonance spectroscopy (MRS) findings and studied its accuracy in differentiation between radiation necrosis and tumor recurrence.
methodsThirty-three patients with a history of intraparenchymal brain tumor resection and radiotherapy, which had developed new enhancing lesion were evaluated by MRS and subsequently underwent reoperation. Lesions with Choline (Cho)/N-acetyl aspartate (NAA) > 1.8 or Cho/Lipid > 1 were considered as tumor recurrence and the remaining as radiation necrosis. Finally, pre-perative MRS diagnoses were compared with histopathological report.
resultsThe histological diagnosis was recurrence in 25 patients and necrosis in 8 patients. Mean Cho/NAA in recurrent tumors was 2.72, but it was 1.46 in radiation necrosis (P < 0.01). Furthermore, Cho/Lipid was significantly higher in recurrent tumors (P < 0.01) with the mean of 2.78 in recurrent tumors and 0.6 in radiation necrosis. Sensitivity, specificity, and diagnostic accuracy of the algorithm for detecting tumor recurrence were 84%, 75% and 81%, respectively.
conclusionMRS is a safe and informative tool for differentiating between tumor recurrence and radiation necrosis.
Indexed as
Identifiers
25874054PMC4395804W2184381253What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.