Surgical planning assistance in keyhole and percutaneous surgery: A systematic review.


Journal

Medical image analysis
ISSN: 1361-8423
Titre abrégé: Med Image Anal
Pays: Netherlands
ID NLM: 9713490

Informations de publication

Date de publication:
01 2021
Historique:
received: 04 12 2019
revised: 07 08 2020
accepted: 07 09 2020
pubmed: 20 10 2020
medline: 24 6 2021
entrez: 19 10 2020
Statut: ppublish

Résumé

Surgical planning of percutaneous interventions has a crucial role to guarantee the success of minimally invasive surgeries. In the last decades, many methods have been proposed to reduce clinician work load related to the planning phase and to augment the information used in the definition of the optimal trajectory. In this survey, we include 113 articles related to computer assisted planning (CAP) methods and validations obtained from a systematic search on three databases. First, a general formulation of the problem is presented, independently from the surgical field involved, and the key steps involved in the development of a CAP solution are detailed. Secondly, we categorized the articles based on the main surgical applications, which have been object of study and we categorize them based on the type of assistance provided to the end-user.

Identifiants

pubmed: 33075642
pii: S1361-8415(20)30184-5
doi: 10.1016/j.media.2020.101820
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101820

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Davide Scorza (D)

Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián, Spain; Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy; Biodonostia Health Research Institute, Donostia-San Sebastián, Spain. Electronic address: davide.scorza@polimi.it.

Sara El Hadji (S)

Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy. Electronic address: davide.scorza@polimi.it.

Camilo Cortés (C)

Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián, Spain; Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.

Álvaro Bertelsen (Á)

Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián, Spain; Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.

Francesco Cardinale (F)

Claudio Munari Centre for Epilepsy and Parkinson surgery, Azienda Socio-Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (ASST GOM Niguarda), Milan, Italy.

Giuseppe Baselli (G)

Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.

Caroline Essert (C)

ICube Laboratory, CNRS, UMR 7357, Université de Strasbourg, Strasbourg, France.

Elena De Momi (E)

Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.

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Classifications MeSH