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Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases

BACKGROUND: Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). METHODS: After Ethics Committee approval, 70 liver metastases in 17 CRC patients were...

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Autores principales: Rizzetto, Francesco, Calderoni, Francesca, De Mattia, Cristina, Defeudis, Arianna, Giannini, Valentina, Mazzetti, Simone, Vassallo, Lorenzo, Ghezzi, Silvia, Sartore-Bianchi, Andrea, Marsoni, Silvia, Siena, Salvatore, Regge, Daniele, Torresin, Alberto, Vanzulli, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652946/
https://www.ncbi.nlm.nih.gov/pubmed/33169295
http://dx.doi.org/10.1186/s41747-020-00189-8
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author Rizzetto, Francesco
Calderoni, Francesca
De Mattia, Cristina
Defeudis, Arianna
Giannini, Valentina
Mazzetti, Simone
Vassallo, Lorenzo
Ghezzi, Silvia
Sartore-Bianchi, Andrea
Marsoni, Silvia
Siena, Salvatore
Regge, Daniele
Torresin, Alberto
Vanzulli, Angelo
author_facet Rizzetto, Francesco
Calderoni, Francesca
De Mattia, Cristina
Defeudis, Arianna
Giannini, Valentina
Mazzetti, Simone
Vassallo, Lorenzo
Ghezzi, Silvia
Sartore-Bianchi, Andrea
Marsoni, Silvia
Siena, Salvatore
Regge, Daniele
Torresin, Alberto
Vanzulli, Angelo
author_sort Rizzetto, Francesco
collection PubMed
description BACKGROUND: Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). METHODS: After Ethics Committee approval, 70 liver metastases in 17 CRC patients were segmented on contrast-enhanced computed tomography scans by two residents and checked by experienced radiologists. RFs from grey level co-occurrence and run length matrices were extracted from three-dimensional (3D) regions of interest (ROIs) and the largest two-dimensional (2D) ROIs. Inter-reader variability was evaluated with Dice coefficient and Hausdorff distance, whilst its impact on RFs was assessed using mean relative change (MRC) and intraclass correlation coefficient (ICC). For the main lesion of each patient, one reader also segmented a circular ROI on the same image used for the 2D ROI. RESULTS: The best inter-reader contouring agreement was observed for 2D ROIs according to both Dice coefficient (median 0.85, interquartile range 0.78–0.89) and Hausdorff distance (0.21 mm, 0.14–0.31 mm). Comparing RF values, MRC ranged 0–752% for 2D and 0–1567% for 3D. For 24/32 RFs (75%), MRC was lower for 2D than for 3D. An ICC > 0.90 was observed for more RFs for 2D (53%) than for 3D (34%). Only 2/32 RFs (6%) showed a variability between 2D and circular ROIs higher than inter-reader variability. CONCLUSIONS: A 2D contouring approach may help mitigate overall inter-reader variability, albeit stable RFs can be extracted from both 3D and 2D segmentations of CRC liver metastases.
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spelling pubmed-76529462020-11-12 Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases Rizzetto, Francesco Calderoni, Francesca De Mattia, Cristina Defeudis, Arianna Giannini, Valentina Mazzetti, Simone Vassallo, Lorenzo Ghezzi, Silvia Sartore-Bianchi, Andrea Marsoni, Silvia Siena, Salvatore Regge, Daniele Torresin, Alberto Vanzulli, Angelo Eur Radiol Exp Original Article BACKGROUND: Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). METHODS: After Ethics Committee approval, 70 liver metastases in 17 CRC patients were segmented on contrast-enhanced computed tomography scans by two residents and checked by experienced radiologists. RFs from grey level co-occurrence and run length matrices were extracted from three-dimensional (3D) regions of interest (ROIs) and the largest two-dimensional (2D) ROIs. Inter-reader variability was evaluated with Dice coefficient and Hausdorff distance, whilst its impact on RFs was assessed using mean relative change (MRC) and intraclass correlation coefficient (ICC). For the main lesion of each patient, one reader also segmented a circular ROI on the same image used for the 2D ROI. RESULTS: The best inter-reader contouring agreement was observed for 2D ROIs according to both Dice coefficient (median 0.85, interquartile range 0.78–0.89) and Hausdorff distance (0.21 mm, 0.14–0.31 mm). Comparing RF values, MRC ranged 0–752% for 2D and 0–1567% for 3D. For 24/32 RFs (75%), MRC was lower for 2D than for 3D. An ICC > 0.90 was observed for more RFs for 2D (53%) than for 3D (34%). Only 2/32 RFs (6%) showed a variability between 2D and circular ROIs higher than inter-reader variability. CONCLUSIONS: A 2D contouring approach may help mitigate overall inter-reader variability, albeit stable RFs can be extracted from both 3D and 2D segmentations of CRC liver metastases. Springer International Publishing 2020-11-10 /pmc/articles/PMC7652946/ /pubmed/33169295 http://dx.doi.org/10.1186/s41747-020-00189-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Rizzetto, Francesco
Calderoni, Francesca
De Mattia, Cristina
Defeudis, Arianna
Giannini, Valentina
Mazzetti, Simone
Vassallo, Lorenzo
Ghezzi, Silvia
Sartore-Bianchi, Andrea
Marsoni, Silvia
Siena, Salvatore
Regge, Daniele
Torresin, Alberto
Vanzulli, Angelo
Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title_full Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title_fullStr Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title_full_unstemmed Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title_short Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
title_sort impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652946/
https://www.ncbi.nlm.nih.gov/pubmed/33169295
http://dx.doi.org/10.1186/s41747-020-00189-8
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