Publications by authors named "Y Prysiazhniuk"

Objectives: To develop a gadolinium-free MRI-based diagnosis prediction decision tree (DPDT) for adult-type diffuse gliomas and to assess the added value of gadolinium-based contrast agent (GBCA) enhanced images.

Materials And Methods: This study included preoperative grade 2-4 adult-type diffuse gliomas (World Health Organization 2021) scanned between 2010 and 2021. The DPDT, incorporating eleven GBCA-free MRI features, was developed using 18% of the dataset based on consensus readings.

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Article Synopsis
  • The study aimed to create and validate a decision tree model for predicting the quality and shape of contrast enhancement in adult diffuse glioma patients using precontrast MRI scans.
  • It involved analyzing MRI data from 31 development, 38 optimization, and 303 test sets to develop an enhancement prediction decision tree (EPDT) based on four key imaging features.
  • The results showed that raters had high accuracy (ranging from 86% to 92%) in predicting enhancement quality and shape, with strong agreement on necrosis assessment among raters.
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Objectives: Differentiating true progression or recurrence (TP/TR) from therapy-related changes (TRC) is complex in brain tumours. Amide proton transfer-weighted (APT) imaging is a chemical exchange saturation transfer (CEST) MRI technique that may improve diagnostic accuracy during radiological follow-up. This systematic review and meta-analysis elucidated the level of evidence and details of state-of-the-art imaging for APT-CEST in glioma and brain metastasis surveillance.

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Background: Evaluation of molecular markers (, p, 1p/19q codeletion, and ) in adult diffuse gliomas is crucial for accurate diagnosis and optimal treatment planning. Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labeling (ASL) perfusion MRI techniques have both shown good performance in classifying molecular markers, however, their performance has not been compared side-by-side.

Methods: Pretreatment MRI data from 90 patients diagnosed with diffuse glioma (54 men/36 female, 53.

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Background: Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for glioma reporting, have been applied for a decade, but a systematic performance evaluation is lacking.

Purpose: Our aim was to conduct a systematic review and meta-analysis of the performance of the VASARI features set for glioma assessment.

Data Sources: MEDLINE, Web of Science, EMBASE, and the Cochrane Library were systematically searched until September 26, 2023.

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