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Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably

OBJECTIVE: We examined the reproducibility of lung nodule volumetry software that offers three different volumetry algorithms. METHODS: In a lung cancer screening trial, 188 baseline nodules >5 mm were identified. Including follow-ups, these nodules formed a study-set of 545 nodules. Nodules were...

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Detalles Bibliográficos
Autores principales: Ashraf, H., de Hoop, B., Shaker, S. B., Dirksen, A., Bach, K. S., Hansen, H., Prokop, M., Pedersen, J. H.
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2899012/
https://www.ncbi.nlm.nih.gov/pubmed/20306082
http://dx.doi.org/10.1007/s00330-010-1749-z
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author Ashraf, H.
de Hoop, B.
Shaker, S. B.
Dirksen, A.
Bach, K. S.
Hansen, H.
Prokop, M.
Pedersen, J. H.
author_facet Ashraf, H.
de Hoop, B.
Shaker, S. B.
Dirksen, A.
Bach, K. S.
Hansen, H.
Prokop, M.
Pedersen, J. H.
author_sort Ashraf, H.
collection PubMed
description OBJECTIVE: We examined the reproducibility of lung nodule volumetry software that offers three different volumetry algorithms. METHODS: In a lung cancer screening trial, 188 baseline nodules >5 mm were identified. Including follow-ups, these nodules formed a study-set of 545 nodules. Nodules were independently double read by two readers using commercially available volumetry software. The software offers readers three different analysing algorithms. We compared the inter-observer variability of nodule volumetry when the readers used the same and different algorithms. RESULTS: Both readers were able to correctly segment and measure 72% of nodules. In 80% of these cases, the readers chose the same algorithm. When readers used the same algorithm, exactly the same volume was measured in 50% of readings and a difference of >25% was observed in 4%. When the readers used different algorithms, 83% of measurements showed a difference of >25%. CONCLUSION: Modern volumetric software failed to correctly segment a high number of screen detected nodules. While choosing a different algorithm can yield better segmentation of a lung nodule, reproducibility of volumetric measurements deteriorates substantially when different algorithms were used. It is crucial even in the same software package to choose identical parameters for follow-up.
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spelling pubmed-28990122010-07-29 Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably Ashraf, H. de Hoop, B. Shaker, S. B. Dirksen, A. Bach, K. S. Hansen, H. Prokop, M. Pedersen, J. H. Eur Radiol Computed Tomography OBJECTIVE: We examined the reproducibility of lung nodule volumetry software that offers three different volumetry algorithms. METHODS: In a lung cancer screening trial, 188 baseline nodules >5 mm were identified. Including follow-ups, these nodules formed a study-set of 545 nodules. Nodules were independently double read by two readers using commercially available volumetry software. The software offers readers three different analysing algorithms. We compared the inter-observer variability of nodule volumetry when the readers used the same and different algorithms. RESULTS: Both readers were able to correctly segment and measure 72% of nodules. In 80% of these cases, the readers chose the same algorithm. When readers used the same algorithm, exactly the same volume was measured in 50% of readings and a difference of >25% was observed in 4%. When the readers used different algorithms, 83% of measurements showed a difference of >25%. CONCLUSION: Modern volumetric software failed to correctly segment a high number of screen detected nodules. While choosing a different algorithm can yield better segmentation of a lung nodule, reproducibility of volumetric measurements deteriorates substantially when different algorithms were used. It is crucial even in the same software package to choose identical parameters for follow-up. Springer-Verlag 2010-03-20 2010 /pmc/articles/PMC2899012/ /pubmed/20306082 http://dx.doi.org/10.1007/s00330-010-1749-z Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Computed Tomography
Ashraf, H.
de Hoop, B.
Shaker, S. B.
Dirksen, A.
Bach, K. S.
Hansen, H.
Prokop, M.
Pedersen, J. H.
Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title_full Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title_fullStr Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title_full_unstemmed Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title_short Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
title_sort lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
topic Computed Tomography
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2899012/
https://www.ncbi.nlm.nih.gov/pubmed/20306082
http://dx.doi.org/10.1007/s00330-010-1749-z
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