Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study

Background: Three dimensional (3D) printing can produce accurate anatomical model of any part of the body. This study is based on reconstruction of models of the affected body part for preoperative planning and to see its usefulness in training of resident doctors and for patient education. Methodol...

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Autores principales:	Binita Chaudhary, Utpal Anand, Veena Kumari, Prabhat Agrawal, Prem Kumar, Rajeev Nayan Priyadarshi
Formato:	article
Lenguaje:	EN
Publicado:	Wolters Kluwer Medknow Publications 2021
Materias:	anatomical models computed tomography three-dimensional image Human anatomy QM1-695
Acceso en línea:	https://doaj.org/article/88ab50bf9a4b417ba9a78a9f6cefffee
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spelling	oai:doaj.org-article:88ab50bf9a4b417ba9a78a9f6cefffee2021-11-12T10:25:52ZFeasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study2277-40252321-278010.4103/2277-4025.329493https://doaj.org/article/88ab50bf9a4b417ba9a78a9f6cefffee2021-01-01T00:00:00Zhttp://www.njca.info/article.asp?issn=2277-4025;year=2021;volume=10;issue=4;spage=220;epage=225;aulast=Chaudharyhttps://doaj.org/toc/2277-4025https://doaj.org/toc/2321-2780Background: Three dimensional (3D) printing can produce accurate anatomical model of any part of the body. This study is based on reconstruction of models of the affected body part for preoperative planning and to see its usefulness in training of resident doctors and for patient education. Methodology: Thirty-five surgically operated patients were retrospectively reviewed and were divided into the conventional planning group (n = 14) and planning with 3D printing group (n = 16). Pathological structures from clinical cases were identified on multidetector computed tomography images and were then transferred to Dicom to print software and saved in a standard format digital imaging and communication in medicine. Segmented regions were combined to create 3D models. Printout of models was taken after being edited by Geomagic free form plus software. Models prepared using 3D printing technology were used to simulate the real surgical operation. The models were used by surgeons for surgical planning and to train their resident doctors. Surgical duration and blood loss were recorded during operation. A questionnaire was provided to the surgeons and residents to assess the utility of 3D models in pre-surgical planning. Results: The mean surgical time in planning with the 3D printing group and conventional planning group was 129.090 ± 36.79 min and 218 ± 94.932 min (P < 0.05). The intraoperative blood loss in planning with 3D printing group and conventional planning group was 130 ± 69.019 ml and (455 ± 44.122 ml) (P < 0.05). Forty subjects completed the survey. Twenty-nine (96.66%) surgeons gave favorable responses (80% found it to be very helpful and 16% helpful) when asked about the utility of these models in the visualization of abnormal pathological anatomy and preoperative planning. Conclusion: Our study suggests that 3D printing technology is useful to aid to surgical planning and provides teaching materials for residents in learning surgery.Binita ChaudharyUtpal AnandVeena KumariPrabhat AgrawalPrem KumarRajeev Nayan PriyadarshiWolters Kluwer Medknow Publicationsarticleanatomical modelscomputed tomographythree-dimensional imageHuman anatomyQM1-695ENNational Journal of Clinical Anatomy, Vol 10, Iss 4, Pp 220-225 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	anatomical models computed tomography three-dimensional image Human anatomy QM1-695
spellingShingle	anatomical models computed tomography three-dimensional image Human anatomy QM1-695 Binita Chaudhary Utpal Anand Veena Kumari Prabhat Agrawal Prem Kumar Rajeev Nayan Priyadarshi Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
description	Background: Three dimensional (3D) printing can produce accurate anatomical model of any part of the body. This study is based on reconstruction of models of the affected body part for preoperative planning and to see its usefulness in training of resident doctors and for patient education. Methodology: Thirty-five surgically operated patients were retrospectively reviewed and were divided into the conventional planning group (n = 14) and planning with 3D printing group (n = 16). Pathological structures from clinical cases were identified on multidetector computed tomography images and were then transferred to Dicom to print software and saved in a standard format digital imaging and communication in medicine. Segmented regions were combined to create 3D models. Printout of models was taken after being edited by Geomagic free form plus software. Models prepared using 3D printing technology were used to simulate the real surgical operation. The models were used by surgeons for surgical planning and to train their resident doctors. Surgical duration and blood loss were recorded during operation. A questionnaire was provided to the surgeons and residents to assess the utility of 3D models in pre-surgical planning. Results: The mean surgical time in planning with the 3D printing group and conventional planning group was 129.090 ± 36.79 min and 218 ± 94.932 min (P < 0.05). The intraoperative blood loss in planning with 3D printing group and conventional planning group was 130 ± 69.019 ml and (455 ± 44.122 ml) (P < 0.05). Forty subjects completed the survey. Twenty-nine (96.66%) surgeons gave favorable responses (80% found it to be very helpful and 16% helpful) when asked about the utility of these models in the visualization of abnormal pathological anatomy and preoperative planning. Conclusion: Our study suggests that 3D printing technology is useful to aid to surgical planning and provides teaching materials for residents in learning surgery.
format	article
author	Binita Chaudhary Utpal Anand Veena Kumari Prabhat Agrawal Prem Kumar Rajeev Nayan Priyadarshi
author_facet	Binita Chaudhary Utpal Anand Veena Kumari Prabhat Agrawal Prem Kumar Rajeev Nayan Priyadarshi
author_sort	Binita Chaudhary
title	Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
title_short	Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
title_full	Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
title_fullStr	Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
title_full_unstemmed	Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study
title_sort	feasibility and adaptation of three-dimensional model for surgical planning and training: a pilot study
publisher	Wolters Kluwer Medknow Publications
publishDate	2021
url	https://doaj.org/article/88ab50bf9a4b417ba9a78a9f6cefffee
work_keys_str_mv	AT binitachaudhary feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy AT utpalanand feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy AT veenakumari feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy AT prabhatagrawal feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy AT premkumar feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy AT rajeevnayanpriyadarshi feasibilityandadaptationofthreedimensionalmodelforsurgicalplanningandtrainingapilotstudy
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Feasibility and adaptation of three-dimensional model for surgical planning and training: A pilot study

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