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Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study
OBJECTIVES: The aim of this study was to evaluate impact of 3D printed models on decision-making in context of laparoscopic liver resections (LLR) performed with intraoperative ultrasound (IOUS) guidance. METHODS: Nineteen patients with liver malignances (74% were colorectal cancer metastases) were...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033053/ https://www.ncbi.nlm.nih.gov/pubmed/31773294 http://dx.doi.org/10.1007/s00330-019-06511-2 |
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author | Witowski, Jan Budzyński, Andrzej Grochowska, Anna Ballard, David H. Major, Piotr Rubinkiewicz, Mateusz Złahoda-Huzior, Adriana Popiela, Tadeusz J. Wierdak, Mateusz Pędziwiatr, Michał |
author_facet | Witowski, Jan Budzyński, Andrzej Grochowska, Anna Ballard, David H. Major, Piotr Rubinkiewicz, Mateusz Złahoda-Huzior, Adriana Popiela, Tadeusz J. Wierdak, Mateusz Pędziwiatr, Michał |
author_sort | Witowski, Jan |
collection | PubMed |
description | OBJECTIVES: The aim of this study was to evaluate impact of 3D printed models on decision-making in context of laparoscopic liver resections (LLR) performed with intraoperative ultrasound (IOUS) guidance. METHODS: Nineteen patients with liver malignances (74% were colorectal cancer metastases) were prospectively qualified for LLR or radiofrequency ablation in a single center from April 2017 to December 2018. Models were 3DP in all cases based on CT and facilitated optical visualization of tumors’ relationships with portal and hepatic veins. Planned surgical extent and its changes were tracked after CT analysis and 3D model inspection, as well as intraoperatively using IOUS. RESULTS: Nineteen patients were included in the analysis. Information from either 3DP or IOUS led to changes in the planned surgical approach in 13/19 (68%) patients. In 5/19 (26%) patients, the 3DP model altered the plan of the surgery preoperatively. In 4/19 (21%) patients, 3DP independently changed the approach. In one patient, IOUS modified the plan post-3DP. In 8/19 (42%) patients, 3DP model did not change the approach, whereas IOUS did. In total, IOUS altered surgical plans in 9 (47%) cases. Most of those changes (6/9; 67%) were caused by detection of additional lesions not visible on CT and 3DP. CONCLUSIONS: 3DP can be helpful in planning complex and major LLRs and led to changes in surgical approach in 26.3% (5/19 patients) in our series. 3DP may serve as a useful adjunct to IOUS. KEY POINTS: • 3D printing can help in decision-making before major and complex resections in patients with liver cancer. • In 5/19 patients, 3D printed model altered surgical plan preoperatively. • Most surgical plan changes based on intraoperative ultrasonography were caused by detection of additional lesions not visible on CT and 3D model. |
format | Online Article Text |
id | pubmed-7033053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-70330532020-03-06 Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study Witowski, Jan Budzyński, Andrzej Grochowska, Anna Ballard, David H. Major, Piotr Rubinkiewicz, Mateusz Złahoda-Huzior, Adriana Popiela, Tadeusz J. Wierdak, Mateusz Pędziwiatr, Michał Eur Radiol Imaging Informatics and Artificial Intelligence OBJECTIVES: The aim of this study was to evaluate impact of 3D printed models on decision-making in context of laparoscopic liver resections (LLR) performed with intraoperative ultrasound (IOUS) guidance. METHODS: Nineteen patients with liver malignances (74% were colorectal cancer metastases) were prospectively qualified for LLR or radiofrequency ablation in a single center from April 2017 to December 2018. Models were 3DP in all cases based on CT and facilitated optical visualization of tumors’ relationships with portal and hepatic veins. Planned surgical extent and its changes were tracked after CT analysis and 3D model inspection, as well as intraoperatively using IOUS. RESULTS: Nineteen patients were included in the analysis. Information from either 3DP or IOUS led to changes in the planned surgical approach in 13/19 (68%) patients. In 5/19 (26%) patients, the 3DP model altered the plan of the surgery preoperatively. In 4/19 (21%) patients, 3DP independently changed the approach. In one patient, IOUS modified the plan post-3DP. In 8/19 (42%) patients, 3DP model did not change the approach, whereas IOUS did. In total, IOUS altered surgical plans in 9 (47%) cases. Most of those changes (6/9; 67%) were caused by detection of additional lesions not visible on CT and 3DP. CONCLUSIONS: 3DP can be helpful in planning complex and major LLRs and led to changes in surgical approach in 26.3% (5/19 patients) in our series. 3DP may serve as a useful adjunct to IOUS. KEY POINTS: • 3D printing can help in decision-making before major and complex resections in patients with liver cancer. • In 5/19 patients, 3D printed model altered surgical plan preoperatively. • Most surgical plan changes based on intraoperative ultrasonography were caused by detection of additional lesions not visible on CT and 3D model. Springer Berlin Heidelberg 2019-11-26 2020 /pmc/articles/PMC7033053/ /pubmed/31773294 http://dx.doi.org/10.1007/s00330-019-06511-2 Text en © The Author(s) 2019 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 | Imaging Informatics and Artificial Intelligence Witowski, Jan Budzyński, Andrzej Grochowska, Anna Ballard, David H. Major, Piotr Rubinkiewicz, Mateusz Złahoda-Huzior, Adriana Popiela, Tadeusz J. Wierdak, Mateusz Pędziwiatr, Michał Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title | Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title_full | Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title_fullStr | Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title_full_unstemmed | Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title_short | Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
title_sort | decision-making based on 3d printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study |
topic | Imaging Informatics and Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033053/ https://www.ncbi.nlm.nih.gov/pubmed/31773294 http://dx.doi.org/10.1007/s00330-019-06511-2 |
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