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Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review

Background: Chest X-ray (CXR) remains the standard imaging modality in postoperative care after non-cardiac thoracic surgery. Lung ultrasound (LUS) showed promising results in CXR reduction. The aim of this review was to identify areas where the evaluation of LUS videos by artificial intelligence co...

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Autores principales: Malík, Marek, Dzian, Anton, Števík, Martin, Vetešková, Štefánia, Al Hakim, Abdulla, Hliboký, Maroš, Magyar, Ján, Kolárik, Michal, Bundzel, Marek, Babič, František
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527627/
https://www.ncbi.nlm.nih.gov/pubmed/37761362
http://dx.doi.org/10.3390/diagnostics13182995
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author Malík, Marek
Dzian, Anton
Števík, Martin
Vetešková, Štefánia
Al Hakim, Abdulla
Hliboký, Maroš
Magyar, Ján
Kolárik, Michal
Bundzel, Marek
Babič, František
author_facet Malík, Marek
Dzian, Anton
Števík, Martin
Vetešková, Štefánia
Al Hakim, Abdulla
Hliboký, Maroš
Magyar, Ján
Kolárik, Michal
Bundzel, Marek
Babič, František
author_sort Malík, Marek
collection PubMed
description Background: Chest X-ray (CXR) remains the standard imaging modality in postoperative care after non-cardiac thoracic surgery. Lung ultrasound (LUS) showed promising results in CXR reduction. The aim of this review was to identify areas where the evaluation of LUS videos by artificial intelligence could improve the implementation of LUS in thoracic surgery. Methods: A literature review of the replacement of the CXR by LUS after thoracic surgery and the evaluation of LUS videos by artificial intelligence after thoracic surgery was conducted in Medline. Results: Here, eight out of 10 reviewed studies evaluating LUS in CXR reduction showed that LUS can reduce CXR without a negative impact on patient outcome after thoracic surgery. No studies on the evaluation of LUS signs by artificial intelligence after thoracic surgery were found. Conclusion: LUS can reduce CXR after thoracic surgery. We presume that artificial intelligence could help increase the LUS accuracy, objectify the LUS findings, shorten the learning curve, and decrease the number of inconclusive results. To confirm this assumption, clinical trials are necessary. This research is funded by the Slovak Research and Development Agency, grant number APVV 20-0232.
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spelling pubmed-105276272023-09-28 Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review Malík, Marek Dzian, Anton Števík, Martin Vetešková, Štefánia Al Hakim, Abdulla Hliboký, Maroš Magyar, Ján Kolárik, Michal Bundzel, Marek Babič, František Diagnostics (Basel) Systematic Review Background: Chest X-ray (CXR) remains the standard imaging modality in postoperative care after non-cardiac thoracic surgery. Lung ultrasound (LUS) showed promising results in CXR reduction. The aim of this review was to identify areas where the evaluation of LUS videos by artificial intelligence could improve the implementation of LUS in thoracic surgery. Methods: A literature review of the replacement of the CXR by LUS after thoracic surgery and the evaluation of LUS videos by artificial intelligence after thoracic surgery was conducted in Medline. Results: Here, eight out of 10 reviewed studies evaluating LUS in CXR reduction showed that LUS can reduce CXR without a negative impact on patient outcome after thoracic surgery. No studies on the evaluation of LUS signs by artificial intelligence after thoracic surgery were found. Conclusion: LUS can reduce CXR after thoracic surgery. We presume that artificial intelligence could help increase the LUS accuracy, objectify the LUS findings, shorten the learning curve, and decrease the number of inconclusive results. To confirm this assumption, clinical trials are necessary. This research is funded by the Slovak Research and Development Agency, grant number APVV 20-0232. MDPI 2023-09-19 /pmc/articles/PMC10527627/ /pubmed/37761362 http://dx.doi.org/10.3390/diagnostics13182995 Text en © 2023 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 Systematic Review
Malík, Marek
Dzian, Anton
Števík, Martin
Vetešková, Štefánia
Al Hakim, Abdulla
Hliboký, Maroš
Magyar, Ján
Kolárik, Michal
Bundzel, Marek
Babič, František
Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title_full Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title_fullStr Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title_full_unstemmed Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title_short Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
title_sort lung ultrasound reduces chest x-rays in postoperative care after thoracic surgery: is there a role for artificial intelligence?—systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527627/
https://www.ncbi.nlm.nih.gov/pubmed/37761362
http://dx.doi.org/10.3390/diagnostics13182995
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