Evidence map›Paper›PMID 36845345›Full record

ReviewJournal of bone oncology2023

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

Haitham Shoman, Jawad Al-Kassmy, Maryam Ejaz, Justin Matta, Sandi Alakhras, Kalin Kahla, Mario D'Acunto

Abstract readReview
In one paragraph

Review in Journal of bone oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Malignant Bone and Soft Tissue Lesions of the Foot.Journal of clinical medicine · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haitham ShomanDepartment of Experimental Surgery, Faculty of Medicine, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada.
Jawad Al-KassmyDepartment of Experimental Surgery, Faculty of Medicine, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada.
Maryam EjazDepartment of Experimental Surgery, Faculty of Medicine, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada.
Justin MattaDepartment of Experimental Surgery, Faculty of Medicine, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada.
Sandi AlakhrasDepartment of Computer Science and Software Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, 1455 Boul. de Maisonneuve Ouest, Montreal, Quebec, H3G 1M8, Canada.
Kalin KahlaDepartment of Experimental Surgery, Faculty of Medicine, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada.
Mario D'AcuntoNational Research Council, Institute of Biophysics, Moruzzi 1, I-56124 Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Intra-operativeMargin assessment, relapseOsteosarcoma

Identifiers

PMID36845345
PMCPMC9950961

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.