Computed Tomographic evaluation of oral cavity carcinomas: A retrospective observational study
Keywords:
Keywords: Oral cavity carcinomas; Computed Tomography (CT); Histopathological examination; Staging; Cervical lymph node involvement; Diagnostic accuracyAbstract
Abstract:
Aim: To assess the role of CT in oral cavity carcinoma and correlate clinical and pathological staging with CT and histopathological findings. Background: Oral cavity carcinomas are a rare form of cancer, and early detection is crucial for effective treatment. Computed Tomography (CT) is a valuable diagnostic tool in evaluating oral cavity carcinomas.Methods: This retrospective observational study included 45 patients with histologically confirmed oral cavity carcinoma. CT imaging reports and histopathology reports were compared, focusing on tumor size, location, and characteristics. Results: The study found a high degree of concordance between CT and histopathological findings in staging oral cancer, with non-significant p-values indicating reliability. CT demonstrated high sensitivity, specificity, positive predictive value, and negative predictive value in assessing tumor size, tongue involvement, cortical bone involvement, maxillary sinus and masticator space involvement, and cervical lymph node involvement. Conclusion: CT is a reliable diagnostic tool in evaluating oral cavity carcinomas, closely aligning with histopathological findings. Its accuracy in determining tumor size, location, and characteristics makes it a valuable tool in pre-operative planning and treatment outcomes.
Keywords: Oral cavity carcinomas; Computed Tomography (CT); Histopathological examination; Staging; Cervical lymph node involvement; Diagnostic accuracy
References
References
Katirachi SK, Grønlund MP, Jakobsen KK, Grønhøj C, von Buchwald C. The prevalence of HPV in oral cavity squamous cell carcinoma. Viruses. 2023;15(2):451.
Parasnis A, Athavale VS, Athavale P, Kumar B, Gutta O. A clinical study of resections in oral cavity carcinomas. Medical Journal of Dr. DY Patil University. 2022;15(4):494-500.
Yu Y, Schöder H, Zakeri K, Chen L, Kang JJ, McBride SM, Tsai CJ, Gelblum DY, Boyle JO, Cracchiolo JR, Cohen MA. Post-operative PET/CT improves the detection of early recurrence of squamous cell carcinomas of the oral cavity. Oral Oncology. 2023;141:106400.
Kato H, Matsuo M. Imaging findings of oral cancers. InInflammation and Oral Cancer 2022(pp. 55-77). Academic Press.
Mahmood S, Mair M, Fagiry R, Ahmed MM, Menon I, Ibrahim N, Baker A, Vaidhyanath R. Diagnostic efficacy of combined CT and MRI in detecting nodal metastasis in patients with oral cancer. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2022;133(3):343-8.
Zhang H, Yang SK, Jiang XW, Deng GL, Li KQ, Long YF. The application value of contrast-enhanced computed tomography in cervical lymph node metastasis of oral carcinomas: A protocol for systematic review and meta- analysis. Medicine. 2021;100(46):e27654.
Chin SY, Kadir K, Ibrahim N, Rahmat K. Correlation and accuracy of contrast-enhanced computed tomography in assessing depth of invasion of oral tongue carcinoma. International journal of oral and maxillofacial surgery. 2021;50(6):718-24.
Mukherji SK, Isaacs DL, Creager A, Shockley W, Weissler M, Armao D. CT detection of mandibular invasion by squamous cell carcinoma of the oral cavity. American journal of roentgenology. 2001;177(1):237-43.
Parasnis A, Athavale VS, Athavale P, Kumar B, Gutta O. A clinical study of resections in oral cavity carcinomas. Medical Journal of Dr. DY Patil University. 2022;15(4):494-500.
Raja JV, Khan M, Ramachandra VK, Al-Kadi O. Texture analysis of CT images in the characterization of oral cancers involving buccal mucosa. Dentomaxillofacial Radiology. 2012;41(6):475-80.
Trotta BM, Pease CS, Rasamny JJ, Raghavan P, Mukherjee S. Oral cavity and oropharyngeal squamous cell cancer: key imaging findings for staging and treatment planning. Radiographics. 2011;31(2):339-54.
Okura M, Iida S, Aikawa T, Adachi T, Yoshimura N, Yamada T, Kogo M. Tumor thickness and paralingual distance of coronal MR imaging predicts cervical node metastases in oral tongue carcinoma. American journal of neuroradiology. 2008;29(1):45-50.
Brockenbrough JM, Petruzzelli GJ, Lomasney L. DentaScan as an accurate method of predicting mandibular invasion in patients with squamous cell carcinoma of the oral cavity. Archives of otolaryngology–head & neck surgery. 2003;129(1):113-7.
Lubpairee T, Poh CF, Laronde DM, Rosin MP, Zhang L. Oral squamous cell carcinomas are associated with poorer outcome with increasing ages. Journal of oncology research and therapy. 2017;3(4).
Xu Q, Wang C, Li B, Kim K, Li J, Mao M, Qin L, Li H, Huang X, Xing R, Han Z. The impact of age on oral squamous cell carcinoma: A longitudinal cohort study of 2,782 patients. Oral diseases. 2019;25(3):730-41.
Panda S, Mohanty N, Panda S, Mishra L, Gopinath D, Sahoo A, Nagraj SK, Lapinska B. Are survival outcomes different for young and old patients with
oral and oropharyngeal squamous cell carcinoma? A Systematic Review and Meta-Analysis. Cancers. 2022;14(8):1886.
Turner RR, Hansen NM, Stern SL, Giulino AE. Intraoperative examination of the sentinel lymph node for breast carcinoma staging. American journal of clinical pathology. 1999;112(5):627-34.
Arya S, Chaukar D, Pai P. Imaging in oral cancers. Indian Journal of Radiology and Imaging. 2012;22(03):195-208.
Lam P, Au-Yeung KM, Cheng PW, Wei WI, Yuen AP, Trendell-Smith N, Li JH, Li R. Correlating MRI and histologic tumor thickness in the assessment of oral tongue cancer. American Journal of Roentgenology. 2004;182(3):803- 8.
Ong CK, Chong VF. Imaging of tongue carcinoma. Cancer imaging.
;6(1):186.
Tibrewala S, Roplekar S, Varma R. Computed tomography evaluation of oral cavity and oropharyngeal cancers. Int J Otorhinolaryngol Clin. 2013;5(2):51- 62.
Yaduvanshi V, Murugan R, Goel T. An automatic classification methods in oral cancer detection. Health Informatics: A Computational Perspective in Healthcare. 2021:133-58.
Kaur J, Srivastava R, Borse V. Recent advances in point-of-care diagnostics for oral cancer. Biosensors and Bioelectronics. 2021;178:112995.
Domokos Z, Uhrin E, Szabó B, Czumbel ML, Dembrovszky F, Kerémi B, Varga G, Hegyi P, Hermann P, Németh O. Patients with inflammatory bowel disease have a higher chance of developing periodontitis: A systematic review and meta-analysis. Frontiers in Medicine. 2022;9:1020126.
Passos KK, da Silva Leonel AC, Bonan PR, de Castro JF, Pontual AD, de Moraes Ramos-Perez FM, da Cruz Perez DE. Information on oral cancer available on the internet: Is it reliable?. Oral diseases. 2019;25(7):1832-3.
Abdul WM, Bakshi J, Panda NK, Mittal BR, Paramjeet S. Comparative evaluation of oral cancer staging using PET-CT vs. CECT. Int J Curr Microbiol Appl Sci. 2015;4:1168-75.
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