ArticleRadiation oncology (London, England)2021
Determining optimal clinical target volume margins in high-grade glioma based on microscopic tumor extension and magnetic resonance imaging.
Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Recurrence distance analysis for clinical target volume optimization in glioblastoma.Clinical and translational radiation oncology · 2026Article
- Dose- and time-dependent relative biological effect of proton in different intracerebral cells.Scientific reports · 2026Article
- Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- [European journal of nuclear medicine and molecular imaging · 2024Article
- Correlation between rCBV Delineation Similarity and Overall Survival in a Prospective Cohort of High-Grade Gliomas Patients: The Hidden Value of Multimodal MRI?Biomedicines · 2024Article
- Recurrence analysis of glioblastoma cases based on distance and dose information.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023Article
- Rapid detection of isocitrate dehydrogenase 1 mutation status in glioma based on Crispr-Cas12a.Scientific reports · 2023Article
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Clinicopathologic analysis of microscopic tumor extension in glioma for external beam radiotherapy planning.BMC medicine · 2021Article
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13 authors.
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Abstract
introductionIn this study, we performed a consecutive macropathologic analysis to assess microscopic extension (ME) in high-grade glioma (HGG) to determine appropriate clinical target volume (CTV) margins for radiotherapy. MATERIALS AND
methodsThe study included HGG patients with tumors located in non-functional areas, and supratotal resection was performed. The ME distance from the edge of the tumor to the microscopic tumor cells surrounding brain tissue was measured. Associations between the extent of ME and clinicopathological characteristics were evaluated by multivariate linear regression (MVLR) analysis. An ME predictive model was developed based on the MVLR model.
resultsBetween June 2017 and July 2019, 652 pathologic slides obtained from 30 HGG patients were analyzed. The mean ME distance was 1.70 cm (range, 0.63 to 2.87 cm). The MVLR analysis identified that pathologic grade, subventricular zone (SVZ) contact and O
conclusionME was heterogeneously distributed across different grades of gliomas according to the tumor location and molecular marker status, which indicated that CTV delineation should be individualized. The model could predict the ME of HGG, which may help clinicians determine the CTV for individual patients. Trial registration The trial was registered with Chinese Clinical Trial Registry (ChiCTR2100046106). Registered 4 May 2021-Retrospectively registered.
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