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Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study

To validate autocontouring software (AS) in a clinical practice including a two steps delineation quality assurance (QA) procedure. The existing delineation agreement among experts for rectal cancer and the overlap and time criteria that have to be verified to allow the use of AS were defined. Media...

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Autores principales: Gambacorta, Maria A., Boldrini, Luca, Valentini, Chiara, Dinapoli, Nicola, Mattiucci, Gian C., Chiloiro, Giuditta, Pasini, Danilo, Manfrida, Stefania, Caria, Nicola, Minsky, Bruce D., Valentini, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173157/
https://www.ncbi.nlm.nih.gov/pubmed/27302924
http://dx.doi.org/10.18632/oncotarget.9938
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author Gambacorta, Maria A.
Boldrini, Luca
Valentini, Chiara
Dinapoli, Nicola
Mattiucci, Gian C.
Chiloiro, Giuditta
Pasini, Danilo
Manfrida, Stefania
Caria, Nicola
Minsky, Bruce D.
Valentini, Vincenzo
author_facet Gambacorta, Maria A.
Boldrini, Luca
Valentini, Chiara
Dinapoli, Nicola
Mattiucci, Gian C.
Chiloiro, Giuditta
Pasini, Danilo
Manfrida, Stefania
Caria, Nicola
Minsky, Bruce D.
Valentini, Vincenzo
author_sort Gambacorta, Maria A.
collection PubMed
description To validate autocontouring software (AS) in a clinical practice including a two steps delineation quality assurance (QA) procedure. The existing delineation agreement among experts for rectal cancer and the overlap and time criteria that have to be verified to allow the use of AS were defined. Median Dice Similarity Coefficient (MDSC), Mean slicewise Hausdorff Distances (MSHD) and Total-Time saving (TT) were analyzed. Two expert Radiation Oncologists reviewed CT-scans of 44 patients and agreed the reference-CTV: the first 14 consecutive cases were used to populate the software Atlas and 30 were used as Test. Each expert performed a manual (group A) and an automatic delineation (group B) of 15 Test patients. The delineations were compared with the reference contours. The overlap between the manual and automatic delineations with MDSC and MSHD and the TT were analyzed. Three acceptance criteria were set: MDSC ≥ 0.75, MSHD ≤1mm and TT sparing ≥ 50%. At least 2 criteria had to be met, one of which had to be TT saving, to validate the system. The MDSC was 0.75, MSHD 2.00 mm and the TT saving 55.5% between group A and group B. MDSC among experts was 0.84. Autosegmentation systems in rectal cancer partially met acceptability criteria with the present version.
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spelling pubmed-51731572016-12-23 Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study Gambacorta, Maria A. Boldrini, Luca Valentini, Chiara Dinapoli, Nicola Mattiucci, Gian C. Chiloiro, Giuditta Pasini, Danilo Manfrida, Stefania Caria, Nicola Minsky, Bruce D. Valentini, Vincenzo Oncotarget Research Paper To validate autocontouring software (AS) in a clinical practice including a two steps delineation quality assurance (QA) procedure. The existing delineation agreement among experts for rectal cancer and the overlap and time criteria that have to be verified to allow the use of AS were defined. Median Dice Similarity Coefficient (MDSC), Mean slicewise Hausdorff Distances (MSHD) and Total-Time saving (TT) were analyzed. Two expert Radiation Oncologists reviewed CT-scans of 44 patients and agreed the reference-CTV: the first 14 consecutive cases were used to populate the software Atlas and 30 were used as Test. Each expert performed a manual (group A) and an automatic delineation (group B) of 15 Test patients. The delineations were compared with the reference contours. The overlap between the manual and automatic delineations with MDSC and MSHD and the TT were analyzed. Three acceptance criteria were set: MDSC ≥ 0.75, MSHD ≤1mm and TT sparing ≥ 50%. At least 2 criteria had to be met, one of which had to be TT saving, to validate the system. The MDSC was 0.75, MSHD 2.00 mm and the TT saving 55.5% between group A and group B. MDSC among experts was 0.84. Autosegmentation systems in rectal cancer partially met acceptability criteria with the present version. Impact Journals LLC 2016-06-10 /pmc/articles/PMC5173157/ /pubmed/27302924 http://dx.doi.org/10.18632/oncotarget.9938 Text en Copyright: © 2016 Gambacorta et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Gambacorta, Maria A.
Boldrini, Luca
Valentini, Chiara
Dinapoli, Nicola
Mattiucci, Gian C.
Chiloiro, Giuditta
Pasini, Danilo
Manfrida, Stefania
Caria, Nicola
Minsky, Bruce D.
Valentini, Vincenzo
Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title_full Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title_fullStr Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title_full_unstemmed Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title_short Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study
title_sort automatic segmentation software in locally advanced rectal cancer: ready (research program in auto delineation system)-rectal 02: prospective study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173157/
https://www.ncbi.nlm.nih.gov/pubmed/27302924
http://dx.doi.org/10.18632/oncotarget.9938
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