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Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies

Osteosarcoma is the most common malignant tumour of the bone. Complete surgical excision is critical to achieve optimal outcomes and lower recurrence rates. However, accurate assessment of tumour margins remains a challenge and multiple technologies are employed for this purpose. The aim of this stu...

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Autores principales: Shoman, Haitham, Al-Kassmy, Jawad, Ejaz, Maryam, Matta, Justin, Alakhras, Sandi, Kahla, Kalin, D'Acunto, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950961/
https://www.ncbi.nlm.nih.gov/pubmed/36845345
http://dx.doi.org/10.1016/j.jbo.2023.100469
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author Shoman, Haitham
Al-Kassmy, Jawad
Ejaz, Maryam
Matta, Justin
Alakhras, Sandi
Kahla, Kalin
D'Acunto, Mario
author_facet Shoman, Haitham
Al-Kassmy, Jawad
Ejaz, Maryam
Matta, Justin
Alakhras, Sandi
Kahla, Kalin
D'Acunto, Mario
author_sort Shoman, Haitham
collection PubMed
description Osteosarcoma is the most common malignant tumour of the bone. Complete surgical excision is critical to achieve optimal outcomes and lower recurrence rates. However, accurate assessment of tumour margins remains a challenge and multiple technologies are employed for this purpose. The aim of this study is to highlight current and emerging technologies and their efficacy in detecting clear bone margins intraoperatively, through a systematic review of the literature. The following databases were searched using the OVID platform: Medline, Embase, Global Health and Google Scholar. Studies were screened using predetermined eligibility criteria. Data was extracted based on study and patient characteristics, modes of detection, and commercial availability, followed by quality assessment. A total of 17 studies were included. The primary diagnosis varied, with osteosarcoma being reported by 9 studies. Three studies reported relapse, ranging between 17.6%−48%. Twelve studies reported non-invasive imaging as the mode of detection used, while 4 studies reported the use of frozen section. MRI and CT were found to have an accuracy of up to 93 %. Raman spectroscopy was reported to have an accuracy, sensitivity, and specificity of 69%, 58.8% and 83.3% respectively. CT had a sensitivity and specificity up to 83% and 100%, respectively. In conclusion, there seems to be high potential for the use of multimodal technologies to increase the accuracy of intraoperative margin assessment. Although imaging modalities possess a fair level of accuracy, they carry the risk of radiation exposure, are expensive, and cannot be used in-situ. Future clinical trials are needed to test the effectiveness of these technologies to measure the diagnostic accuracy and overall patient survival.
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spelling pubmed-99509612023-02-25 Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies Shoman, Haitham Al-Kassmy, Jawad Ejaz, Maryam Matta, Justin Alakhras, Sandi Kahla, Kalin D'Acunto, Mario J Bone Oncol Review Article Osteosarcoma is the most common malignant tumour of the bone. Complete surgical excision is critical to achieve optimal outcomes and lower recurrence rates. However, accurate assessment of tumour margins remains a challenge and multiple technologies are employed for this purpose. The aim of this study is to highlight current and emerging technologies and their efficacy in detecting clear bone margins intraoperatively, through a systematic review of the literature. The following databases were searched using the OVID platform: Medline, Embase, Global Health and Google Scholar. Studies were screened using predetermined eligibility criteria. Data was extracted based on study and patient characteristics, modes of detection, and commercial availability, followed by quality assessment. A total of 17 studies were included. The primary diagnosis varied, with osteosarcoma being reported by 9 studies. Three studies reported relapse, ranging between 17.6%−48%. Twelve studies reported non-invasive imaging as the mode of detection used, while 4 studies reported the use of frozen section. MRI and CT were found to have an accuracy of up to 93 %. Raman spectroscopy was reported to have an accuracy, sensitivity, and specificity of 69%, 58.8% and 83.3% respectively. CT had a sensitivity and specificity up to 83% and 100%, respectively. In conclusion, there seems to be high potential for the use of multimodal technologies to increase the accuracy of intraoperative margin assessment. Although imaging modalities possess a fair level of accuracy, they carry the risk of radiation exposure, are expensive, and cannot be used in-situ. Future clinical trials are needed to test the effectiveness of these technologies to measure the diagnostic accuracy and overall patient survival. Elsevier 2023-02-09 /pmc/articles/PMC9950961/ /pubmed/36845345 http://dx.doi.org/10.1016/j.jbo.2023.100469 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Shoman, Haitham
Al-Kassmy, Jawad
Ejaz, Maryam
Matta, Justin
Alakhras, Sandi
Kahla, Kalin
D'Acunto, Mario
Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title_full Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title_fullStr Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title_full_unstemmed Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title_short Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies
title_sort surgical margin assessment of bone tumours: a systematic review of current and emerging technologies
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950961/
https://www.ncbi.nlm.nih.gov/pubmed/36845345
http://dx.doi.org/10.1016/j.jbo.2023.100469
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