Diagnostic accuracy of panoramic radiography for bone invasion by squamous cell carcinoma of the mandibular gingiva

Toukeibu Gan ◽  
2007 ◽  
Vol 33 (3) ◽  
pp. 400-405
Author(s):  
Kenji Kawano ◽  
Yoshihiro Takahashi ◽  
Akio Takahashi ◽  
Shigetaka Yanagisawa
2022 ◽  
Vol 43 (2) ◽  
pp. 103303
Author(s):  
Gaelen B. Stanford-Moore ◽  
Ana Marija Sola ◽  
Jason Chan ◽  
Ivan El-Sayed ◽  
Jonathan George ◽  
...  

2021 ◽  
Vol 15 (8) ◽  
pp. 2500-2501
Author(s):  
Aliya Khan ◽  
Abid Ali Sahito ◽  
Mahreen Shaikh ◽  
Humera Jabeen ◽  
Humaira Ashraf ◽  
...  

Objective: To evaluate the diagnostic accuracy of multislice computed tomography (CT) in detection of squamous cell carcinoma (SCC) of oral cavity in clinically suspected patients taking histopathology as gold standard. Material and Methods: This cross-sectional study has been conducted at Radiology department of Civil Hospital Karachi from 8th September 2018 to March 2019. All the cases having suspected oral squamous cell carcinoma and either of gender were included. Patients underwent computed tomography by using multislice scanner. Then patients undergone biopsy sampling and patients were labeled as positive or negative for squamous cell carcinoma of oral cavity on MDCT and histopathology. Sensitivity, specificity, and diagnostic accuracy of multislice CT for squamous cell carcinoma of oral cavity were measured taking histopathology as gold standard. Results: Total 168 cases were studied and out of them males were 76.8% and females were 23.2%. Mean gutka addiction history was 11.52±5.21 years. Mean lesion size on CT scan was 2.44±1.43 cm. In our study, 35.1% patients were diagnosed positive by multislice computed tomography and 43.5% through histopathology. Sensitivity, Specificity, PPV, NPV and accuracy were 86.4%, 79.8%, 69.9%, 91.6%, and 82.1% respectively. Conclusion: Multislice CT observed to be the effective diagnostic tool for the detection of SCC of oral cavity. Keywords: Multislice Computed Tomography, cancer, Oral Cavity


2003 ◽  
Vol 49 (3) ◽  
pp. 171-178
Author(s):  
Takahiko SHIBAHARA ◽  
Hiroyasu NOMA ◽  
Takeshi NOMURA ◽  
Ryo TAKAGI ◽  
Keiko YOKOO ◽  
...  

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