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Master Thesis

A pilot study investigating the feasibility of using a fully automatic software to assess the RENAL and PADUA scores

Abstract : Purpose: image-based morphometric scoring systems such as the renal and padua scores are useful to evaluate the complexity of partial nephrectomy for renal cell carcinoma (RCC). the aim was to develop an imaging software to enable an automatic detection and a 3D visualization of RCC from ct scans to evaluate the parameters included in the renal and the padua scores.
Methods: a training dataset of 210 patients cta-scans manually segmented for kidney and renal tumor was used to train a deep learning algorithm to develop the automatic 3D-visualization of RCC. The testing dataset consisted of 41 Computed tomography angiography (CTA) from patients with RCC. Renal and Padua scores were assessed by a trained operator on a semi-automatic commercialized software and concordance of the staging were compared with the automatic software.
Results: the median Padua score was 9 (7- 11) and the renal score was 8 (5.5- 9). The automatic software enabled to automatically detect the tumoral kidney and provided a 3D-visualization in all cases, with a computational time less than 20 seconds. Concordances for staging the anatomical features of the renal scores were respectively: 87.8% for radius, 85.4% for exophytic rate, 82.9% for location to the polar lines and 92.7% for the antero-posterior location. For the Padua scores, concordances were 90.2% for tumor size, 85.4% for exophytic rate, 87.8% for polar location and 100% for renal rim.
Conclusion: by enabling an automatic 3D-visualization of tumoral kidney, this software could help to calculate morphometric scores, save time and improve reproducibility for clinicians.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03508311
Contributor : Bibliothèque Universitaire de Médecine Nice Connect in order to contact the contributor
Submitted on : Monday, January 3, 2022 - 3:58:36 PM
Last modification on : Saturday, April 9, 2022 - 3:45:25 AM

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  • HAL Id : dumas-03508311, version 1

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Mathieu Carlier. A pilot study investigating the feasibility of using a fully automatic software to assess the RENAL and PADUA scores. Human health and pathology. 2021. ⟨dumas-03508311⟩

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