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Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures

OBJECTIVES: To compare the accuracy of liver tumour localisation in intraprocedural computed tomography (CT) images of computer-based rigid registration or non-rigid registration versus mental registration performed by interventional radiologists. METHODS: Retrospectively (2009-2017), 35 contrast-en...

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Autores principales: Boulkhrif, Hassan, Luu, Ha Manh, van Walsum, Theo, Moelker, Adriaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223880/
https://www.ncbi.nlm.nih.gov/pubmed/29802572
http://dx.doi.org/10.1007/s00330-018-5498-8
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author Boulkhrif, Hassan
Luu, Ha Manh
van Walsum, Theo
Moelker, Adriaan
author_facet Boulkhrif, Hassan
Luu, Ha Manh
van Walsum, Theo
Moelker, Adriaan
author_sort Boulkhrif, Hassan
collection PubMed
description OBJECTIVES: To compare the accuracy of liver tumour localisation in intraprocedural computed tomography (CT) images of computer-based rigid registration or non-rigid registration versus mental registration performed by interventional radiologists. METHODS: Retrospectively (2009-2017), 35 contrast-enhanced CT (CECT) images incorporating 56 tumours, acquired during CT-guided ablation procedures and their corresponding pre-procedural diagnostic CECTs were retrieved from the picture archiving and communication system (PACS). The original intraprocedural CECTs were de-enhanced to create a virtually unenhanced CT image (VUCT). Alignment of diagnostic CECTs to their corresponding intraprocedural VUCTs was performed with non-rigid or rigid registration. Mental registration was performed by four interventional radiologists. The original intraprocedural CECT served as the reference standard. Accuracy of tumour localisation was assessed with the target registration error (TRE). Statistical differences were analysed with the Wilcoxon signed-rank test. RESULTS: Non-rigid registration failed to register two CT datasets, incorporating four tumours. In the remaining 33 datasets, non-rigid, rigid and mental registration showed a median TRE of 3.9 mm, 9.0 mm and 10.9 mm, respectively. Non-rigid registration was significantly more accurate in tumour centre localisation in comparison to rigid (p < 0.001) or mental registration (p < 0.001). Rigid registration was not statistically different from mental registration (p = 0.169). Non-rigid registration was most accurate in localising tumour centres in 42 out of 52 tumours (80.8%), while rigid and mental registration were most accurate in only seven (13.5%) and three (5.8%) tumours, respectively. CONCLUSIONS: Computer-based non-rigid registration is statistically significantly more accurate in localising liver tumours in intraprocedural unenhanced CT images in comparison to rigid registration or interventional radiologists’ mental mapping abilities. KEY POINTS: • Computer-based non-rigid registration is better (p < 0.001) in localising target tumours prior to ablation in intraprocedural CT images in comparison to rigid registration or interventional radiologists’ mental mapping abilities. • Human experts perform sub-optimal localisation of target tumours when relying solely on mental mapping during challenging CT-guided procedures. • This non-rigid registration method shows promising results as a safe alternative to intravenous contrast media in liver tumour localisation prior to ablation during CT-guided procedures.
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spelling pubmed-62238802018-11-19 Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures Boulkhrif, Hassan Luu, Ha Manh van Walsum, Theo Moelker, Adriaan Eur Radiol Interventional OBJECTIVES: To compare the accuracy of liver tumour localisation in intraprocedural computed tomography (CT) images of computer-based rigid registration or non-rigid registration versus mental registration performed by interventional radiologists. METHODS: Retrospectively (2009-2017), 35 contrast-enhanced CT (CECT) images incorporating 56 tumours, acquired during CT-guided ablation procedures and their corresponding pre-procedural diagnostic CECTs were retrieved from the picture archiving and communication system (PACS). The original intraprocedural CECTs were de-enhanced to create a virtually unenhanced CT image (VUCT). Alignment of diagnostic CECTs to their corresponding intraprocedural VUCTs was performed with non-rigid or rigid registration. Mental registration was performed by four interventional radiologists. The original intraprocedural CECT served as the reference standard. Accuracy of tumour localisation was assessed with the target registration error (TRE). Statistical differences were analysed with the Wilcoxon signed-rank test. RESULTS: Non-rigid registration failed to register two CT datasets, incorporating four tumours. In the remaining 33 datasets, non-rigid, rigid and mental registration showed a median TRE of 3.9 mm, 9.0 mm and 10.9 mm, respectively. Non-rigid registration was significantly more accurate in tumour centre localisation in comparison to rigid (p < 0.001) or mental registration (p < 0.001). Rigid registration was not statistically different from mental registration (p = 0.169). Non-rigid registration was most accurate in localising tumour centres in 42 out of 52 tumours (80.8%), while rigid and mental registration were most accurate in only seven (13.5%) and three (5.8%) tumours, respectively. CONCLUSIONS: Computer-based non-rigid registration is statistically significantly more accurate in localising liver tumours in intraprocedural unenhanced CT images in comparison to rigid registration or interventional radiologists’ mental mapping abilities. KEY POINTS: • Computer-based non-rigid registration is better (p < 0.001) in localising target tumours prior to ablation in intraprocedural CT images in comparison to rigid registration or interventional radiologists’ mental mapping abilities. • Human experts perform sub-optimal localisation of target tumours when relying solely on mental mapping during challenging CT-guided procedures. • This non-rigid registration method shows promising results as a safe alternative to intravenous contrast media in liver tumour localisation prior to ablation during CT-guided procedures. Springer Berlin Heidelberg 2018-05-25 2018 /pmc/articles/PMC6223880/ /pubmed/29802572 http://dx.doi.org/10.1007/s00330-018-5498-8 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Interventional
Boulkhrif, Hassan
Luu, Ha Manh
van Walsum, Theo
Moelker, Adriaan
Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title_full Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title_fullStr Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title_full_unstemmed Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title_short Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
title_sort accuracy of semi-automated versus manual localisation of liver tumours in ct-guided ablation procedures
topic Interventional
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223880/
https://www.ncbi.nlm.nih.gov/pubmed/29802572
http://dx.doi.org/10.1007/s00330-018-5498-8
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