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. 2022 Aug;64(8):1639-1647.
doi: 10.1007/s00234-022-02959-0. Epub 2022 Apr 23.

The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment

Gaia Spadarella  1 , Lorenzo Ugga  2 , Giuseppina Calareso  3 , Rossella Villa  1 , Serena D'Aniello  1 , Renato Cuocolo  4   5
Affiliations

The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment

Gaia Spadarella et al. Neuroradiology. 2022 Aug.

Abstract

Purpose: Human papillomavirus (HPV) status assessment is crucial for decision making in oropharyngeal cancer patients. In last years, several articles have been published investigating the possible role of radiomics in distinguishing HPV-positive from HPV-negative neoplasms. Aim of this review was to perform a systematic quality assessment of radiomic studies published on this topic.

Methods: Radiomics studies on HPV status prediction in oropharyngeal cancer patients were selected. The Radiomic Quality Score (RQS) was assessed by three readers to evaluate their methodological quality. In addition, possible correlations between RQS% and journal type, year of publication, impact factor, and journal rank were investigated.

Results: After the literature search, 19 articles were selected whose RQS median was 33% (range 0-42%). Overall, 16/19 studies included a well-documented imaging protocol, 13/19 demonstrated phenotypic differences, and all were compared with the current gold standard. No study included a public protocol, phantom study, or imaging at multiple time points. More than half (13/19) included feature selection and only 2 were comprehensive of non-radiomic features. Mean RQS was significantly higher in clinical journals.

Conclusion: Radiomics has been proposed for oropharyngeal cancer HPV status assessment, with promising results. However, these are supported by low methodological quality investigations. Further studies with higher methodological quality, appropriate standardization, and greater attention to validation are necessary prior to clinical adoption.

Keywords: Human papillomavirus; Machine learning; Oropharyngeal neoplasms; Radiomics; Systematic review.

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Conflict of interest statement

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Figures

Fig. 1
Fig. 1
Study selection process flowchart
Fig. 2
Fig. 2
Distribution of the RQS in clinical and imaging journal
Fig. 3
Fig. 3
Distribution of median RQS% per year
Fig. 4
Fig. 4
Normed histogram density distribution plot (bin value = 10) and kernel density plot of RQS% scores of the included articles
Fig. 5
Fig. 5
RQS% of the 19 studies according to the six key domains
See this image and copyright information in PMC

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