Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Sep 1;14(9):6963-6977.
doi: 10.21037/qims-24-334. Epub 2024 Aug 28.

Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based radiomics in head and neck cancers: a systematic review and radiomics quality score assessment

Mahayu Ismail  1   2 , Mohd Ariff Mohamed Hanifa  2 , Eznal Izwadi Mohd Mahidin  2 , Hanani Abdul Manan  3 , Noorazrul Yahya  1
Affiliations
Review

Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based radiomics in head and neck cancers: a systematic review and radiomics quality score assessment

Mahayu Ismail et al. Quant Imaging Med Surg. .

Abstract

Background: Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based images demonstrate measurable radiomics features that are potentially prognostic. This study aims to systematically synthesize the current research applying radiomics in head and neck cancers for outcome prediction and to assess the radiomics quality score (RQS) of the studies.

Methods: A systematic search was performed to identify available studies on PubMed, Web of Science, and Scopus databases. Studies related to radiomics in oncology/radiotherapy fields and based on predefined Patient, Intervention, Comparator, Outcome, and Study design (PICOS) criteria were included. The methodological quality of the included study was evaluated independently by two reviewers according to the RQS. The Mann-Whitney U test was performed according to subgroups. The P values <0.05 were considered statistically significant. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guidelines were adhered to.

Results: From a total of 743 identified studies, six original studies were eligible for inclusion in the systematic review (median =97 patients). The intraclass correlation coefficient (ICC) for inter-reviewer on total RQS was excellent with 0.99 [95% confidence interval (CI) of 0.946< ICC <0.999]. There were no significant differences in the analyses between each RQS domain and subgroup components (P always >0.05). Numerically higher RQS domains score for publication year ≤2022 than 2023 and number of patients > median than ≤ median but not statistically significant.

Conclusions: The number of radiomics studies involving CBCT and MVCT is still very limited. Self-reported RQS assessments should be encouraged for all radiomics studies.

Keywords: Cone beam computed tomography (CBCT); head and neck cancer; megavoltage computed tomography (MVCT); radiomics; radiomics quality score (RQS).

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-24-334/coif). N.Y. reports that this work was financially supported by the Ministry of Higher Learning (Malaysia), under the Fundamental Research Grant (No. FRGS/1/2021/SS03/UKM/02/1); and the National University of Malaysia grant (No. GP-2021-K017963). The other authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Search strategy via PRISMA guidelines 2020. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
See this image and copyright information in PMC

References

    1. Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology 2016;278:563-77. 10.1148/radiol.2015151169 - DOI - PMC - PubMed
    1. Scapicchio C, Gabelloni M, Barucci A, Cioni D, Saba L, Neri E. A deep look into radiomics. Radiol Med 2021;126:1296-311. 10.1007/s11547-021-01389-x - DOI - PMC - PubMed
    1. Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, Zegers CM, Gillies R, Boellard R, Dekker A, Aerts HJ. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48:441-6. 10.1016/j.ejca.2011.11.036 - DOI - PMC - PubMed
    1. Kumar V, Gu Y, Basu S, Berglund A, Eschrich SA, Schabath MB, Forster K, Aerts HJ, Dekker A, Fenstermacher D, Goldgof DB, Hall LO, Lambin P, Balagurunathan Y, Gatenby RA, Gillies RJ. Radiomics: the process and the challenges. Magn Reson Imaging 2012;30:1234-48. 10.1016/j.mri.2012.06.010 - DOI - PMC - PubMed
    1. Haider SP, Burtness B, Yarbrough WG, Payabvash S. Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers Head Neck 2020;5:6. 10.1186/s41199-020-00053-7 - DOI - PMC - PubMed

LinkOut - more resources