Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings

Author:

Cuicchi Dajana1ORCID,Mottola Margherita23ORCID,Castellucci Paolo4,Bevilacqua Alessandro56ORCID,Cattabriga Arrigo3ORCID,Cocozza Maria Adriana3ORCID,Cardelli Stefano3,Dajti Gerti3ORCID,Mattoni Susanna3,Golfieri Rita2ORCID,Fanti Stefano34ORCID,Cappelli Alberta27ORCID,Coppola Francesca89ORCID,Poggioli Gilberto13

Affiliation:

1. Medical and Surgical Department of Digestive, Hepatic and Endocrine-Metabolic Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy

2. Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy

3. Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy

4. Department of Nuclear Medicine, IRCCS Azienda Ospedaliero-University of Bologna, 40138 Bologna, Italy

5. Department of Computer Science and Engineering (DISI), University of Bologna, 40126 Bologna, Italy

6. Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40125 Bologna, Italy

7. Interventional Radiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy

8. Radiology Unit, “Infermi” Hospital, 48018 Faenza, Italy

9. SIRM Foundation, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy

Abstract

Locally Recurrent Rectal Cancer (LRRC) remains a major clinical concern; it rapidly invades pelvic organs and nerve roots, causing severe symptoms. Curative-intent salvage therapy offers the only potential for cure but it has a higher chance of success when LRRC is diagnosed at an early stage. Imaging diagnosis of LRRC is very challenging due to fibrosis and inflammatory pelvic tissue, which can mislead even the most expert reader. This study exploited a radiomic analysis to enrich, through quantitative features, the characterization of tissue properties, thus favoring an accurate detection of LRRC by Computed Tomography (CT) and 18F-FDG-Positron Emission Tomography/CT (PET/CT). Of 563 eligible patients undergoing radical resection (R0) of primary RC, 57 patients with suspected LRRC were included, 33 of which were histologically confirmed. After manually segmenting suspected LRRC in CT and PET/CT, 144 Radiomic Features (RFs) were generated, and RFs were investigated for univariate significant discriminations (Wilcoxon rank-sum test, p < 0.050) of LRRC from NO LRRC. Five RFs in PET/CT (p < 0.017) and two in CT (p < 0.022) enabled, individually, a clear distinction of the groups, and one RF was shared by PET/CT and CT. As well as confirming the potential role of radiomics to advance LRRC diagnosis, the aforementioned shared RF describes LRRC as tissues having high local inhomogeneity due to the evolving tissue’s properties.

Publisher

MDPI AG

Subject

General Medicine

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