Pre-treatment PET/MRI based FDG and DWI imaging parameters for predicting HPV status and tumor response to chemoradiotherapy in primary oropharyngeal squamous cell carcinoma (OPSCC)

Freihat, Omar; Tóth, Zoltán; Pintér, Tamás; Kedves, András; Sipos, Dávid; Cselik, Zsolt; Lippai, Norbert; Romics, Imre; Kov́acs, Árṕad

doi:10.1016/j.oraloncology.2021.105239

Cited by 17 publications

(39 citation statements)

References 54 publications

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“…The Clinical Center, Regional and Local Research Ethics Committee (CCRLREC), University of Pecs Doctoral School of Health Sciences, and Somogy Megyei Kaposi Mor Educational Hospital, Pecs, Hungary (Approval Number: IG/04866.000/2020) approved this retrospective study [11]. The informed consent requirement was waived and confirmed by the (CCRLREC), and all methods were carried out following the applicable guidelines and laws (Declaration of Helsinki).…”

Section: Patients and Demographicsmentioning

confidence: 99%

“…The work strategy and procedure have been published elsewhere [11,12,21]. In brief, the examinations were conducted in a dedicated PET/MRI (3 T) equipment (Biograph mMR, Siemens AG, Erlangen, Germany).…”

Section: Pet/mri Imagingmentioning

confidence: 99%

“…PET/MRI parameters were also included (ADC, SUV, TLG, and MTV). MRI sequences were T2-weighted TSE turbo inversion recovery magnitude (TIRM) (TR/TE/TI 3300/37/220 ms, FOV: 240 mm, slice thickness: 3 mm, 224 × 320) coronal plan, T1-weighted turbo spin-echo (TSE) (TR/TE 800/12 ms, FOV: 200 mm, slice thickness: 4 mm, 224 × 320), and T1-weighted TSE Dixon fat suppression (FS) (TR/TE 6500/85 ms, FOV: 200 mm, slice thickness: 4 mm, 256 × 320) transversal and were acquired without an intravenous contrast agent [11,12,21].…”

Section: Pet/mri Imagingmentioning

confidence: 99%

“…ADC also was found to be effective in primary tumor assessment, differentiating between benign and malignant neoplasms, staging, and monitoring at post-treatment follow-up [9,10]. ADC was also found to be useful in predicting therapy response in head and neck squamous cell carcinoma (HNSCC) patients [11].…”

Section: Introductionmentioning

confidence: 99%

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Correlation between Tissue Cellularity and Metabolism Represented by Diffusion-Weighted Imaging (DWI) and 18F-FDG PET/MRI in Head and Neck Cancer (HNC)

Freihat

Tóth

Pintér³

et al. 2022

Cancers

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Background: This study aimed to assess the association of 18F-Fluorodeoxyglucose positron-emission-tomography (18F-FDG/PET) and DWI imaging parameters from a primary tumor and their correlations with clinicopathological factors. Methods: We retrospectively analyzed primary tumors in 71 patients with proven HNC. Primary tumor radiological parameters: DWI and FDG, as well as pathological characteristics were analyzed. Spearman correlation coefficient was used to assess the correlation between DWI and FDG parameters, ANOVA or Kruskal–Wallis, independent sample t-test, Mann–Whitney test, and multiple regression were performed on the clinicopathological features that may affect the 18F- FDG and apparent-diffusion coefficient (ADC) of the tumor. Results: No significant correlations were observed between DWI and any of the 18F-FDG parameters (p > 0.05). SUVmax correlated with N-stages (p = 0.023), TLG and MTV correlated with T-stages (p = 0.006 and p = 0.001), and ADC correlated with tumor grades (p = 0.05). SUVmax was able to differentiate between N+ and N− groups (p = 0.004). Conclusions: Our results revealed a non-significant correlation between the FDG-PET and ADC-MR parameters. FDG-PET-based glucose metabolic and DWI-MR-derived cellularity data may represent different biological aspects of HNC.

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Section: Patients and Demographicsmentioning

confidence: 99%

Section: Pet/mri Imagingmentioning

confidence: 99%

Section: Pet/mri Imagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlation between Tissue Cellularity and Metabolism Represented by Diffusion-Weighted Imaging (DWI) and 18F-FDG PET/MRI in Head and Neck Cancer (HNC)

Freihat

Tóth

Pintér³

et al. 2022

Cancers

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“…In the present systematic review, 19 radiomics and ML investigations published in the recent literature on the OPSCC were evaluated. In this setting, one of the most crucial issues in clinical practice is HPV status evaluation [ 26 ], and conventional imaging is not currently able to reliably replace the current gold standard (expression of p16 protein via immunohistochemistry from specimen [ 27 ]), despite various attempts [ 28 – 30 ]. The quality of included studies was very low (median score expressed as number 12, corresponding to a median percentage score of 33) with highest RQS equal to 15 (42%).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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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.

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Association of oropharyngeal cancer HPV status with diffusion-weighted MR imaging and FDG-PET parameters

Kalt,

Hüllner,

Wurnig

et al. 2024

Advances in Oral and Maxillofacial Surgery

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Pre-treatment PET/MRI based FDG and DWI imaging parameters for predicting HPV status and tumor response to chemoradiotherapy in primary oropharyngeal squamous cell carcinoma (OPSCC)

Cited by 17 publications

References 54 publications

Correlation between Tissue Cellularity and Metabolism Represented by Diffusion-Weighted Imaging (DWI) and 18F-FDG PET/MRI in Head and Neck Cancer (HNC)

Correlation between Tissue Cellularity and Metabolism Represented by Diffusion-Weighted Imaging (DWI) and 18F-FDG PET/MRI in Head and Neck Cancer (HNC)

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

Association of oropharyngeal cancer HPV status with diffusion-weighted MR imaging and FDG-PET parameters

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