Publications by authors named "S Lukacova"
Background And Purpose: Radiation induced image changes (IC) on MRI have been observed after proton therapy for brain tumours. This study aims to create predictive models, with and without taking into account patient variation, based on dose, linear energy transfer (LET) and periventricular zone (PVZ) in a national cohort of patients with glioma treated with pencil beam scanning (PBS).
Materials And Methods: A cohort of 87 consecutive patients with oligodendroglioma or astrocytoma (WHO grade 2-4) treated with PBS from January 2019 to December 2021 was included.
Article Synopsis
- Diffuse midline glioma (DMG) is a highly aggressive brain cancer in children and young adults, with a poor prognosis of less than 10% survival rate after two years; radiotherapy is a key treatment but only offers short-term benefits.
- The REMIT protocol aims to assess the safety and palliative effectiveness of reirradiation for DMG patients, while monitoring various health indicators, including performance status and quality of life.
- The study will also address patient selection bias and standardization issues, with plans to begin patient inclusion in 2024.
Selection for proton radiotherapy of grade 1-3 glioma patients.
Clin Transl Radiat Oncol
September 2024
Background: For adult patients with grade 1-3 gliomas, identifying patients with an indication for proton therapy (PT) can be challenging due to sparse evidence supporting its benefits. In this study, we aimed to ensure national consensus and develop a decision support tool to aid clinicians in identifying patients with grade 1-3 gliomas eligible for PT.
Methods: Sixty-one historic patients referred for postoperative radiotherapy for glioma grade 1-3 were included in this study and had new photon therapy and PT plans calculated.
Background And Purpose: Deep-learning (DL) models for segmentation of the gross tumor volume (GTV) in radiotherapy are generally based on clinical delineations which suffer from inter-observer variability. The aim of this study was to compare performance of a DL-model based on clinical glioblastoma GTVs to a model based on a single-observer edited version of the same GTVs.
Materials And Methods: The dataset included imaging data (Computed Tomography (CT), T1, contrast-T1 (T1C), and fluid-attenuated-inversion-recovery (FLAIR)) of 259 glioblastoma patients treated with post-operative radiotherapy between 2012 and 2019 at a single institute.
Background: This Danish cohort study aims to (1) compare patterns of care (POC) and survival of patients with multifocal glioblastoma (mGBM) to those with unifocal glioblastoma (uGBM), and (2) explore the association of patient-related factors with treatment assignment and prognosis, respectively, in the subgroup of mGBM patients.
Methods: Data on all adults with newly diagnosed, pathology-confirmed GBM between 2015 and 2019 were extracted from the Danish Neuro-Oncology Registry. To compare POC and survival of mGBM to uGBM, we applied multivariable logistic and Cox regression analysis, respectively.