Publications by authors named "A Sutela"
Background: Studies have established that radiotherapy for childhood brain tumors (BTs) increases the risk of cerebrovascular disease (CVD); however, it is unclear how this will affect cognitive function. This study aimed to investigate the associations between radiotherapy-induced CVD, white matter hyperintensities (WMHs), and neurocognitive outcomes in adult survivors of childhood BTs.
Methods: In a cross-sectional setting, we conducted a national cohort that included 68 radiotherapy-treated survivors of childhood BTs after a median follow-up of 20 years.
Article Synopsis
- Childhood brain tumor survivors show significant signs of lumbar disc degeneration on MRI compared to age and sex-matched controls, indicating a higher risk of spine issues due to treatment.
- The study found higher Pfirrmann grades, more lumbar disc protrusions and extrusions, and a greater number of high-intensity zone lesions in the survivor group.
- Age at diagnosis and blood pressure were linked to the extent of intervertebral disc degeneration, with those diagnosed later in childhood experiencing less degeneration.
There are very few detailed post-mortem studies on idiopathic normal-pressure hydrocephalus (iNPH) and there is a lack of proper neuropathological criteria for iNPH. This study aims to update the knowledge on the neuropathology of iNPH and to develop the neuropathological diagnostic criteria of iNPH. We evaluated the clinical lifelines and post-mortem findings of 29 patients with possible NPH.
View Article and Find Full Text PDFObjectives: The aim of this exploratory study was to evaluate whether three-dimensional texture analysis (3D-TA) features of non-contrast-enhanced weighted MRI associate with traditional prognostic factors and disease-free survival (DFS) of breast cancer.
Methods: 3D- weighted images from 78 patients with 81 malignant histopathologically verified breast lesions were retrospectively analysed using standard-size volumes of interest. Grey-level co-occurrence matrix (GLCM)-based features were selected for statistical analysis.
Purpose: To examine the breast density distribution in patients diagnosed with breast cancer in an eastern Finnish population and to examine the changes in breast density reporting patterns between the 4 and 5 editions of the Breast Imaging-Reporting and Data System (BI-RADS).
Method: 821 women (mean age 62.8 ± 12.