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Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids
STUDY OBJECTIVE: To evaluate the effect of using patient specific 3D printed anatomical models in pre-surgical planning for patients with uterine fibroids. DESIGN: Repeated measures questionnaire study. SETTING: Tertiary academic hospital. PATIENTS OR PARTICIPANTS: Minimally invasive gynecologic sur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572081/ http://dx.doi.org/10.1016/j.jmig.2020.08.596 |
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author | Flaxman, T. Cooke, C.M. Sheikh, A. Miguel, O. Chepelev, L. McInnes, M. Singh, S.S. |
author_facet | Flaxman, T. Cooke, C.M. Sheikh, A. Miguel, O. Chepelev, L. McInnes, M. Singh, S.S. |
author_sort | Flaxman, T. |
collection | PubMed |
description | STUDY OBJECTIVE: To evaluate the effect of using patient specific 3D printed anatomical models in pre-surgical planning for patients with uterine fibroids. DESIGN: Repeated measures questionnaire study. SETTING: Tertiary academic hospital. PATIENTS OR PARTICIPANTS: Minimally invasive gynecologic surgeons. INTERVENTIONS: Surgeons completed a questionnaire documenting their surgical plan, perceived surgical difficulty, and confidence in surgical approach before and after receiving a patient specific 3D printed model derived from standard of care pelvic MRI. 3D models had uterine fibroids printed in opaque magenta, endometrium in cyan, and non-neoplastic anatomy (myometrium and cervix) was printed as clear resin to maximize visualisation of underlying lesions. A post-operative questionnaire rated the surgeons’ experience using the 3D models. MEASUREMENTS AND MAIN RESULTS: Five surgeries (4 open myomectomy; 1 laparoscopic hysterectomy) were completed. One staff surgeon and one/two surgical fellow(s) participated in each case (N=11). After viewing the models, perceived surgical difficulty increased in 5, decreased in 1, and did not change in 5 surgeon responses. The average allotted surgical time changed by 50mins and anticipated blood loss by 120cc. Anticipated intra-operative complications changed in 7/11 plans corresponding with a change in planned hemostatic techniques to be used in 6/11 plans. Increased confidence in planned approach was reported in 7/11 surgeon responses. Intra-operative reference changed the operative course in 3/5 surgeries. On average, surgeons rated their experience 8.3/10 for pre-surgical planning, 8.0/10 for intra-operative reference (10=greatest experience), and 7/11 surgeon responses indicated that the models were perceived to have a positive impact on surgical outcomes. CONCLUSION: The use of patient specific 3D printed models altered the surgeons’ perception of surgical difficulty, planned hemostatic techniques, and perceived risk for surgical complications when creating their pre-operative plan. By increasing their understanding of complex anatomy, surgeons reported greater confidence in their pre-operative plan when using 3D models, thus optimizing surgical decision making and improve patient outcomes. |
format | Online Article Text |
id | pubmed-7572081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75720812020-10-20 Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids Flaxman, T. Cooke, C.M. Sheikh, A. Miguel, O. Chepelev, L. McInnes, M. Singh, S.S. J Minim Invasive Gynecol Open Communications 20: New Instrumentation or Technology (4:00 PM — 5:00 PM)4:36 PM STUDY OBJECTIVE: To evaluate the effect of using patient specific 3D printed anatomical models in pre-surgical planning for patients with uterine fibroids. DESIGN: Repeated measures questionnaire study. SETTING: Tertiary academic hospital. PATIENTS OR PARTICIPANTS: Minimally invasive gynecologic surgeons. INTERVENTIONS: Surgeons completed a questionnaire documenting their surgical plan, perceived surgical difficulty, and confidence in surgical approach before and after receiving a patient specific 3D printed model derived from standard of care pelvic MRI. 3D models had uterine fibroids printed in opaque magenta, endometrium in cyan, and non-neoplastic anatomy (myometrium and cervix) was printed as clear resin to maximize visualisation of underlying lesions. A post-operative questionnaire rated the surgeons’ experience using the 3D models. MEASUREMENTS AND MAIN RESULTS: Five surgeries (4 open myomectomy; 1 laparoscopic hysterectomy) were completed. One staff surgeon and one/two surgical fellow(s) participated in each case (N=11). After viewing the models, perceived surgical difficulty increased in 5, decreased in 1, and did not change in 5 surgeon responses. The average allotted surgical time changed by 50mins and anticipated blood loss by 120cc. Anticipated intra-operative complications changed in 7/11 plans corresponding with a change in planned hemostatic techniques to be used in 6/11 plans. Increased confidence in planned approach was reported in 7/11 surgeon responses. Intra-operative reference changed the operative course in 3/5 surgeries. On average, surgeons rated their experience 8.3/10 for pre-surgical planning, 8.0/10 for intra-operative reference (10=greatest experience), and 7/11 surgeon responses indicated that the models were perceived to have a positive impact on surgical outcomes. CONCLUSION: The use of patient specific 3D printed models altered the surgeons’ perception of surgical difficulty, planned hemostatic techniques, and perceived risk for surgical complications when creating their pre-operative plan. By increasing their understanding of complex anatomy, surgeons reported greater confidence in their pre-operative plan when using 3D models, thus optimizing surgical decision making and improve patient outcomes. Published by Elsevier Inc. 2020 2020-10-19 /pmc/articles/PMC7572081/ http://dx.doi.org/10.1016/j.jmig.2020.08.596 Text en Copyright © 2020 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Open Communications 20: New Instrumentation or Technology (4:00 PM — 5:00 PM)4:36 PM Flaxman, T. Cooke, C.M. Sheikh, A. Miguel, O. Chepelev, L. McInnes, M. Singh, S.S. Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title | Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title_full | Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title_fullStr | Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title_full_unstemmed | Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title_short | Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids |
title_sort | pre-surgical planning using patient-specific 3d printed anatomical models for women with uterine fibroids |
topic | Open Communications 20: New Instrumentation or Technology (4:00 PM — 5:00 PM)4:36 PM |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572081/ http://dx.doi.org/10.1016/j.jmig.2020.08.596 |
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