High-Definition Ultrasound Characterization of Squamous Carcinoma of the Tongue: A Descriptive Observational Study.
Dario Di StasioMarco MontellaAntonio RomanoGiuseppe ColellaRosario SerpicoAlberta LucchesePublished in: Cancers (2022)
High-definition ultrasonography is a diagnostic tool that uses sound echoes to produce images of tissues and organs. In the head and neck region, ultrasounds have been used to diagnose different types of lesions. The intraoral approach was shown to be a real-time, non-invasive way to characterize oral lesions. The tongue is the most often examined region because of its accessibility. This observational study aimed to describe the qualitative characteristics of tongue squamous cell carcinoma images obtained with high-definition intraoral ultrasound by comparing them with the corresponding histopathological sample. Twenty patients were enrolled in this study. The scans of the lesions were carried out with an 18 MHz linear ultrasound probe following the long axis of the lesion. For each lesion, five frames were selected, on which descriptive analysis was performed. A histological sample was taken and then compared to the ultrasonographic acquisition. The sonographic appearance of the tissue layers has a good correlation between ultrasound and histological morphology, and it was easy to distinguish the tumor from the homogenous composition of the tongue tissues. Furthermore, a correlation between the structure by section and pattern of tumor margin features by ultrasound was obtained. Intraoral ultrasonography appears to be a promising technique in the non-invasive characterization of tongue squamous cell carcinoma. Further studies will be needed to improve the technique in terms of ergonomics and repeatability.
Keyphrases
- magnetic resonance imaging
- squamous cell carcinoma
- contrast enhanced
- deep learning
- end stage renal disease
- contrast enhanced ultrasound
- ultrasound guided
- computed tomography
- chronic kidney disease
- newly diagnosed
- cross sectional
- systematic review
- magnetic resonance
- low grade
- machine learning
- locally advanced
- optic nerve