Piotr Sobecki

Head

National Information Processing Institute
Country flagPoland

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About

Piotr Sobecki is the Head at the National Information Processing Institute in Poland. His research focuses on machine learning applications in medical imaging, particularly relating to prostate cancer diagnosis and assessment. Recent articles authored by him explore virtual tomography methods, intraobserver and interobserver agreement in mpMRI interpretations, and the influence of anatomical variants on MRI visibility.

Articles (4)

Year:

2024

Clinical practice has revealed ambiguities in PI-RADS v2.1 scoring, but a limited number of studies are available that validate the interreader and intrareader reproducibility of the mpMRI PI-RADS lexicon. We decomposed the PI-RADS rules into a set of common data elements to evaluate the inter- and intraobserver agreement in assessing the individual features included in the PI-RADS lexicon. Six radiologists (three highly experienced, three less experienced) in two sessions independently read thirty-two lesions in the peripheral and transition zone using the structured reporting tool, blinded to clinical MRI indication. The highest agreement between radiologists was observed for the abnormality detection, the evaluation of the type of signal intensity, and the characteristic of benign prostatic hyperplasia. Moderate agreement was reported for dynamic contrast-enhanced images. This resulted in a decrease in abnormality detection (PA = 76.5%) and enhancement indication (PA = 77.3%). The lowest agreement was observed for highly subjective features: shape, signal intensity level, and type of lesion margins. The results indicate the limitations of the PI-RADS v2.1 lexicon in relation to interreader and intrareader reproducibility. We have demonstrated that it is possible to develop structured reporting systems standardized according to the PI-RADS lexicon.

Year:

2023

Year:

2022

Year:

2021

Collaborators (1)

Tomasz Lorenc

Medical University of Warsaw

POLAND
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