Radiomic Analysis for Human Papillomavirus Assessment in Oropharyngeal Carcinoma: Lessons and Pitfalls for the Next Future Article Swipe
Ilaria Morelli
,
Carlotta Becherini
,
Marco Banini
,
Marianna Valzano
,
Niccolò Bertini
,
Mauro Loi
,
Giulio Francolini
,
Icro Meattini
,
Viola Salvestrini
,
Pierluigi Bonomo
,
Lorenzo Livi
,
Isacco Desideri
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132312942
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132312942
Background: Oropharyngeal Squamous Cell Carcinoma (OPSCC) is rapidly increasing due to the spread of Human Papillomavirus (HPV) infection. HPV-positive disease has unique characteristics, with better response to treatment and consequent better prognosis. HPV status is routinely assessed via p16 immunohistochemistry or HPV DNA Polymerase Chain Reaction. Radiomics is a quantitative approach to medical imaging which can overcome limitations due to its subjective interpretation and correlation with clinical data. The aim of this narrative review is to evaluate the impact of radiomic features on assessing HPV status in OPSCC patients. Methods: A narrative review was performed by synthesizing literature results from PUBMED. In the search strategy, Medical Subject Headings (MeSH) terms were used. Retrospective mono- or multicentric works assessing the correlation between radiomic features and HPV status prediction in OPSCC were included. Selected papers were in English and included studies on humans. The range of publication date was July 2015–April 2023. Results: Our research returned 23 published papers; the accuracy of radiomic models was evaluated by ROC curves and AUC values. MRI- and CT-based radiomic models proved of comparable efficacy. Also, metabolic imaging showed crucial importance in the determination of HPV status, albeit with lower AUC values. Conclusions: Radiomic features from conventional imaging can play a complementary role in the assessment of HPV status in OPSCC. Both primary tumor- and nodal-related features and multisequencing-based models demonstrated higher accuracy.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app132312942
- https://www.mdpi.com/2076-3417/13/23/12942/pdf?version=1701671544
- OA Status
- gold
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389326659
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389326659Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app132312942Digital Object Identifier
- Title
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Radiomic Analysis for Human Papillomavirus Assessment in Oropharyngeal Carcinoma: Lessons and Pitfalls for the Next FutureWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-04Full publication date if available
- Authors
-
Ilaria Morelli, Carlotta Becherini, Marco Banini, Marianna Valzano, Niccolò Bertini, Mauro Loi, Giulio Francolini, Icro Meattini, Viola Salvestrini, Pierluigi Bonomo, Lorenzo Livi, Isacco DesideriList of authors in order
- Landing page
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https://doi.org/10.3390/app132312942Publisher landing page
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https://www.mdpi.com/2076-3417/13/23/12942/pdf?version=1701671544Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2076-3417/13/23/12942/pdf?version=1701671544Direct OA link when available
- Concepts
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Medicine, Radiomics, Human papillomavirus, Narrative review, Oncology, Internal medicine, Basal cell, Medical physics, Radiology, Intensive care medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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64Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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