Amide proton transfer imaging for the determination of human papillomavirus status in patients with oropharyngeal squamous cell carcinoma.
Journal
Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R
Informations de publication
Date de publication:
15 Jul 2022
15 Jul 2022
Historique:
entrez:
15
7
2022
pubmed:
16
7
2022
medline:
20
7
2022
Statut:
epublish
Résumé
The aim of this study was to investigate the utility of amide proton transfer (APT) imaging for the determination of human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinoma (SCC). Thirty-one patients with oropharyngeal SCC were retrospectively evaluated. All patients underwent amide proton transfer imaging using a 3T magnetic resonance (MR) unit. Patients were divided into HPV-positive and -negative groups depending on the pathological findings in their primary tumor. In APT imaging, the primary tumor was delineated with a polygonal region of interest (ROI). Signal information in the ROI was used to calculate the mean, standard deviation (SD) and coefficient of variant (CV) of the APT signals (APT mean, APT SD, and APT CV, respectively). The value of APT CV in the HPV-positive group (0.43 ± 0.04) was significantly lower than that in the HPV-negative group (0.48 ± 0.04) (P = .01). There was no significant difference in APT mean (P = .82) or APT SD (P = .13) between the HPV-positive and -negative groups. Receiver operating characteristic (ROC) curve analysis of APT CV had a sensitivity of 0.75, specificity of 0.8, positive predictive value of 0.75, negative predictive value of 0.8, accuracy of 0.77 and area under the curve (AUC) of 0.8. The APT signal in the HPV-negative group was considered heterogeneous compared to the HPV-positive group. This information might be useful for the determination of HPV status in patients with oropharyngeal SCC.
Identifiants
pubmed: 35839055
doi: 10.1097/MD.0000000000029457
pii: 00005792-202207150-00068
doi:
Substances chimiques
Amides
0
Protons
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e29457Informations de copyright
Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
The rest of the authors do not have conflicts of interest.
Références
Ang KK, Harris J, Wheeler R, et al. Human papillomavirus and survival of patients with oropharyngeal cancer. N Engl J Med. 2010;363:24–35.
Cantrell SC, Peck BW, Li G, et al. Differences in imaging characteristics of HPV-positive and HPV-Negative oropharyngeal cancers: a blinded matched-pair analysis. AJNR Am J Neuroradiol. 2013;34:2005–9.
Nakahira M, Saito N, Yamaguchi H, et al. Use of quantitative diffusion-weighted magnetic resonance imaging to predict human papilloma virus status in patients with oropharyngeal squamous cell carcinoma. Eur Arch Otorhinolaryngol. 2014;271:1219–25.
Ravanelli M, Grammatica A, Tononcelli E, et al. Correlation between human papillomavirus status and quantitative MR imaging parameters including diffusion-weighted Imaging and texture features in oropharyngeal carcinoma. AJNR Am J Neuroradiol. 2018;39:1878–83.
Chan MW, Higgins K, Enepekides D, et al. Radiologic differences between human papillomavirus-related and human papillomavirus-unrelated oropharyngeal carcinoma on diffusion-weighted imaging. ORL J Otorhinolaryngol Relat Spec. 2016;78:344–52.
Driessen JP, van Bemmel AJ, van Kempen PM, et al. Correlation of human papillomavirus status with apparent diffusion coefficient of diffusion-weighted MRI in head and neck squamous cell carcinomas. Head Neck. 2016;38(Suppl 1):E613–8.
de Perrot T, Lenoir V, Domingo Ayllon M, et al. Apparent diffusion coefficient histograms of human papillomavirus-positive and human papillomavirus-negative head and neck squamous cell carcinoma: assessment of tumor heterogeneity and comparison with histopathology. AJNR Am J Neuroradiol. 2017;38:2153–60.
Ahn Y, Choi YJ, Sung YS, et al. Histogram analysis of arterial spin labeling perfusion data to determine the human papillomavirus status of oropharyngeal squamous cell carcinomas. Neuroradiology. 2021;63:1345–52.
Yuan J, Chen S, King AD, et al. Amide proton transfer-weighted imaging of the head and neck at 3 T: a feasibility study on healthy human subjects and patients with head and neck cancer. NMR Biomed. 2014;27:1239–47.
Law BKH, King AD, Ai QY, et al. Head and neck tumors: amide proton transfer MRI. Radiology. 2018;288:782–90.
Qamar S, King AD, Ai QY, et al. Amide proton transfer MRI detects early changes in nasopharyngeal carcinoma: providing a potential imaging marker for treatment response. Eur Arch Otorhinolaryngol. 2019;276:505–12.
Yu L, Li C, Luo X, et al. Differentiation of malignant and benign head and neck tumors with amide proton transfer-weighted MR imaging. Mol Imaging Biol. 2019;21:348–55.
Bae YJ, Choi BS, Jeong WJ, et al. Amide proton transfer-weighted MRI in the diagnosis of major salivary gland tumors. Sci Rep. 2019;9:8349.
Qamar S, King AD, Ai QH, et al. Pre-treatment amide proton transfer imaging predicts treatment outcome in nasopharyngeal carcinoma. Eur Radiol. 2020;30:6339–47.
Kamitani T, Sagiyama K, Togao O, et al. Amide proton transfer (APT) imaging of parotid tumors: differentiation of malignant and benign tumors. Eur J Radiol. 2020;129:109047.
Takumi K, Nagano H, Kikuno H, et al. Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach. Sci Rep. 2021;11:2780.
Zhou J, Lal B, Wilson DA, et al. van Zijl PC. Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med. 2003;50:1120–6.
Ward KM, Aletras AH, Balaban RS. A new class of contrast agents for MRI based on proton chemical exchange dependent saturation transfer (CEST). J Magn Reson. 2000;143:79–87.
Togao O, Yoshiura T, Keupp J, et al. Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades. Neuro Oncol. 2014;16:441–8.
Nevens D, Nuyts S. HPV-positive head and neck tumours, a distinct clinical entity. B-ENT. 2015;11:81–7.
Tahari AK, Alluri KC, Quon H, et al. FDG PET/CT imaging of oropharyngeal squamous cell carcinoma: characteristics of human papillomavirus-positive and -negative tumors. Clin Nucl Med. 2014;39:225–31.
Buch K, Fujita A, Li B, et al. Using texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinomas on CT. AJNR Am J Neuroradiol. 2015;36:1343–8.
Lee JY, Han M, Kim KS, et al. Discrimination of HPV status using CT texture analysis: tumour heterogeneity in oropharyngeal squamous cell carcinomas. Neuroradiology. 2019;61:1415–24.
Mungai F, Verrone GB, Pietragalla M, et al. CT assessment of tumor heterogeneity and the potential for the prediction of human papillomavirus status in oropharyngeal squamous cell carcinoma. Radiol Med. 2019;124:804–11.
Fujima N, Homma A, Harada T, et al. The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies. Cancer Imaging. 2019;19:5.
Bos P, van den Brekel MWM, Gouw ZAR, et al. Clinical variables and magnetic resonance imaging-based radiomics predict human papillomavirus status of oropharyngeal cancer. Head Neck. 2021;43:485–95.
Suh CH, Lee KH, Choi YJ, et al. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status. Sci Rep. 2020;10:17525.
Grønhøj Larsen C, Gyldenløve M, Jensen DH, et al. Correlation between human papillomavirus and p16 overexpression in oropharyngeal tumours: a systematic review. Br J Cancer. 2014;110:1587–94.