Cargando…
3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study
Background and Objective: In recent years, 3D printing has been used to support surgical planning or to guide intraoperative procedures in various surgical specialties. An improvement in surgical planning for recto-sigmoid endometriosis (RSE) excision might reduce the high complication rate related...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777715/ https://www.ncbi.nlm.nih.gov/pubmed/35056394 http://dx.doi.org/10.3390/medicina58010086 |
_version_ | 1784637133441466368 |
---|---|
author | Borghese, Giulia Coppola, Francesca Raimondo, Diego Raffone, Antonio Travaglino, Antonio Bortolani, Barbara Lo Monaco, Silvia Cercenelli, Laura Maletta, Manuela Cattabriga, Arrigo Casadio, Paolo Mollo, Antonio Golfieri, Rita Paradisi, Roberto Marcelli, Emanuela Seracchioli, Renato |
author_facet | Borghese, Giulia Coppola, Francesca Raimondo, Diego Raffone, Antonio Travaglino, Antonio Bortolani, Barbara Lo Monaco, Silvia Cercenelli, Laura Maletta, Manuela Cattabriga, Arrigo Casadio, Paolo Mollo, Antonio Golfieri, Rita Paradisi, Roberto Marcelli, Emanuela Seracchioli, Renato |
author_sort | Borghese, Giulia |
collection | PubMed |
description | Background and Objective: In recent years, 3D printing has been used to support surgical planning or to guide intraoperative procedures in various surgical specialties. An improvement in surgical planning for recto-sigmoid endometriosis (RSE) excision might reduce the high complication rate related to this challenging surgery. The aim of this study was to build novel presurgical 3D models of RSE nodules from magnetic resonance imaging (MRI) and compare them with intraoperative findings. Materials and Methods: A single-center, observational, prospective, cohort, pilot study was performed by enrolling consecutive symptomatic women scheduled for minimally invasive surgery for RSE between November 2019 and June 2020 at our institution. Preoperative MRI were used for building 3D models of RSE nodules and surrounding pelvic organs. 3D models were examined during multi-disciplinary preoperative planning, focusing especially on three domains: degree of bowel stenosis, nodule’s circumferential extension, and bowel angulation induced by the RSE nodule. After surgery, the surgeon was asked to subjectively evaluate the correlation of the 3D model with the intra-operative findings and to express his evaluation as “no correlation”, “low correlation”, or “high correlation” referring to the three described domains. Results: seven women were enrolled and 3D anatomical virtual models of RSE nodules and surrounding pelvic organs were generated. In all cases, surgeons reported a subjective “high correlation” with the surgical findings. Conclusion: Presurgical 3D models could be a feasible and useful tool to support surgical planning in women with recto-sigmoidal endometriotic involvement, appearing closely related to intraoperative findings. |
format | Online Article Text |
id | pubmed-8777715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87777152022-01-22 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study Borghese, Giulia Coppola, Francesca Raimondo, Diego Raffone, Antonio Travaglino, Antonio Bortolani, Barbara Lo Monaco, Silvia Cercenelli, Laura Maletta, Manuela Cattabriga, Arrigo Casadio, Paolo Mollo, Antonio Golfieri, Rita Paradisi, Roberto Marcelli, Emanuela Seracchioli, Renato Medicina (Kaunas) Article Background and Objective: In recent years, 3D printing has been used to support surgical planning or to guide intraoperative procedures in various surgical specialties. An improvement in surgical planning for recto-sigmoid endometriosis (RSE) excision might reduce the high complication rate related to this challenging surgery. The aim of this study was to build novel presurgical 3D models of RSE nodules from magnetic resonance imaging (MRI) and compare them with intraoperative findings. Materials and Methods: A single-center, observational, prospective, cohort, pilot study was performed by enrolling consecutive symptomatic women scheduled for minimally invasive surgery for RSE between November 2019 and June 2020 at our institution. Preoperative MRI were used for building 3D models of RSE nodules and surrounding pelvic organs. 3D models were examined during multi-disciplinary preoperative planning, focusing especially on three domains: degree of bowel stenosis, nodule’s circumferential extension, and bowel angulation induced by the RSE nodule. After surgery, the surgeon was asked to subjectively evaluate the correlation of the 3D model with the intra-operative findings and to express his evaluation as “no correlation”, “low correlation”, or “high correlation” referring to the three described domains. Results: seven women were enrolled and 3D anatomical virtual models of RSE nodules and surrounding pelvic organs were generated. In all cases, surgeons reported a subjective “high correlation” with the surgical findings. Conclusion: Presurgical 3D models could be a feasible and useful tool to support surgical planning in women with recto-sigmoidal endometriotic involvement, appearing closely related to intraoperative findings. MDPI 2022-01-06 /pmc/articles/PMC8777715/ /pubmed/35056394 http://dx.doi.org/10.3390/medicina58010086 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Borghese, Giulia Coppola, Francesca Raimondo, Diego Raffone, Antonio Travaglino, Antonio Bortolani, Barbara Lo Monaco, Silvia Cercenelli, Laura Maletta, Manuela Cattabriga, Arrigo Casadio, Paolo Mollo, Antonio Golfieri, Rita Paradisi, Roberto Marcelli, Emanuela Seracchioli, Renato 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title | 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title_full | 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title_fullStr | 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title_full_unstemmed | 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title_short | 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study |
title_sort | 3d patient-specific virtual models for presurgical planning in patients with recto-sigmoid endometriosis nodules: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777715/ https://www.ncbi.nlm.nih.gov/pubmed/35056394 http://dx.doi.org/10.3390/medicina58010086 |
work_keys_str_mv | AT borghesegiulia 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT coppolafrancesca 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT raimondodiego 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT raffoneantonio 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT travaglinoantonio 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT bortolanibarbara 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT lomonacosilvia 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT cercenellilaura 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT malettamanuela 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT cattabrigaarrigo 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT casadiopaolo 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT molloantonio 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT golfieririta 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT paradisiroberto 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT marcelliemanuela 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy AT seracchiolirenato 3dpatientspecificvirtualmodelsforpresurgicalplanninginpatientswithrectosigmoidendometriosisnodulesapilotstudy |