Literature DB >> 32601951

A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future.

Paolo Zaffino1, Sara Moccia2, Elena De Momi3, Maria Francesca Spadea1.   

Abstract

With the advent of Minimally Invasive Surgery (MIS), intra-operative imaging has become crucial for surgery and therapy guidance, allowing to partially compensate for the lack of information typical of MIS. This paper reviews the advancements in both classical (i.e. ultrasounds, X-ray, optical coherence tomography and magnetic resonance imaging) and more recent (i.e. multispectral, photoacoustic and Raman imaging) intra-operative imaging modalities. Each imaging modality was analyzed, focusing on benefits and disadvantages in terms of compatibility with the operating room, costs, acquisition time and image characteristics. Tables are included to summarize this information. New generation of hybrid surgical room and algorithms for real time/in room image processing were also investigated. Each imaging modality has its own (site- and procedure-specific) peculiarities in terms of spatial and temporal resolution, field of view and contrasted tissues. Besides the benefits that each technique offers for guidance, considerations about operators and patient risk, costs, and extra time required for surgical procedures have to be considered. The current trend is to equip surgical rooms with multimodal imaging systems, so as to integrate multiple information for real-time data extraction and computer-assisted processing. The future of surgery is to enhance surgeons eye to minimize intra- and after-surgery adverse events and provide surgeons with all possible support to objectify and optimize the care-delivery process.

Entities:  

Keywords:  Image-guided surgery; Intraoperative imaging; Operating room; Review; Surgical data science

Mesh:

Year:  2020        PMID: 32601951     DOI: 10.1007/s10439-020-02553-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  7 in total

1.  Towards the OR of the future: introducing an adaptive and technology-embracing OR wing layout.

Authors:  Carlos Amato; Chengyuan Yang; Lukas Bernhard; Pier Cristoforo Giulianotti; Paul Kondrat; Osman Ratib; Dirk Wilhelm
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-10-05       Impact factor: 3.421

2.  Artificial Intelligence for Ultrasound Informative Image Selection of Metacarpal Head Cartilage. A Pilot Study.

Authors:  Edoardo Cipolletta; Maria Chiara Fiorentino; Sara Moccia; Irene Guidotti; Walter Grassi; Emilio Filippucci; Emanuele Frontoni
Journal:  Front Med (Lausanne)       Date:  2021-03-01

Review 3.  Looking for a perfect match: multimodal combinations of Raman spectroscopy for biomedical applications.

Authors:  Iwan Schie; Clara Stiebing; Jürgen Popp
Journal:  J Biomed Opt       Date:  2021-08       Impact factor: 3.170

4.  Development of a convolutional neural network for the identification and the measurement of the median nerve on ultrasound images acquired at carpal tunnel level.

Authors:  Gianluca Smerilli; Edoardo Cipolletta; Gianmarco Sartini; Erica Moscioni; Mariachiara Di Cosmo; Maria Chiara Fiorentino; Sara Moccia; Emanuele Frontoni; Walter Grassi; Emilio Filippucci
Journal:  Arthritis Res Ther       Date:  2022-02-08       Impact factor: 5.156

Review 5.  Nuclear-medicine probes: Where we are and where we are going.

Authors:  Andrea Gonzalez-Montoro; Cesar David Vera-Donoso; Georgios Konstantinou; Pablo Sopena; Manolo Martinez; Juan Bautista Ortiz; Montserrat Carles; Jose Maria Benlloch; Antonio Javier Gonzalez
Journal:  Med Phys       Date:  2022-05-20       Impact factor: 4.506

Review 6.  Robot-Assisted Image-Guided Interventions.

Authors:  Michael Unger; Johann Berger; Andreas Melzer
Journal:  Front Robot AI       Date:  2021-07-12

7.  Novel Multimodal, Multiscale Imaging System with Augmented Reality.

Authors:  Christopher Mela; Francis Papay; Yang Liu
Journal:  Diagnostics (Basel)       Date:  2021-03-04
  7 in total

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