Outcomes following surgical excision or surgical excision combined with adjunctive, hypofractionated radiotherapy in dogs with oral squamous cell carcinoma or fibrosarcoma

2018 ◽  
Vol 253 (1) ◽  
pp. 73-83 ◽  
Author(s):  
Julia Riggs ◽  
Vicki J. Adams ◽  
Joanna V. Hermer ◽  
Jane M. Dobson ◽  
Suzanne Murphy ◽  
...  
2022 ◽  
pp. 089875642110735
Author(s):  
Cileah M. Kretsch ◽  
Katharine M. Simpson ◽  
Jennifer E. Rawlinson ◽  
Hannah Laurence ◽  
Terry R. Spraker

A 19-year-old male castrated llama presented with a 3-year history of tooth root abscesses and an osseous mass on the left mandible. Surgical excision of the affected teeth and mass was performed, and histopathologic review indicated that the mass was an oral squamous cell carcinoma. The patient was admitted to the hospital again 4 months later in severe respiratory distress with submandibular edema, and bicavitary effusion. Necropsy results revealed regional and distant metastatic squamous cell carcinoma.


Author(s):  
Zihan Yang ◽  
Jianwei Shang ◽  
Chenlu Liu ◽  
Jun Zhang ◽  
Yanmei Liang

Surgical excision is an effective treatment for oral squamous cell carcinoma (OSCC), but exact intraoperative differentiation OSCC from the normal tissue is the first premise. As a noninvasive imaging technique, optical coherence tomography (OCT) has the nearly same resolution as the histopathological examination, whose images contain rich information to assist surgeons to make clinical decisions. We extracted kinds of texture features from OCT images obtained by a home-made swept-source OCT system in this paper, and studied the identification of OSCC based on different combinations of texture features and machine learning classifiers. It was demonstrated that different combinations had different accuracies, among which the combination of texture features, gray level co-occurrence matrix (GLCM), Laws’ texture measures (LM), and center symmetric auto-correlation (CSAC), and SVM as the classifier, had the optimal comprehensive identification effect, whose accuracy was 94.1%. It was proven that it is feasible to distinguish OSCC based on texture features in OCT images, and it has great potential in helping surgeons make rapid and accurate decisions in oral clinical practice.


2013 ◽  
Vol 1 (2) ◽  
pp. 02-06
Author(s):  
SM Anwar Sadat ◽  
Sufia Nasrin Rita ◽  
Shoma Banik ◽  
Md Nazmul Hasan Khandker ◽  
Md Mahfuz Hossain ◽  
...  

A cross sectional study of 29 cases of oral squamous cell carcinoma with or without  cervical lymph node metastasis was done among Bangladeshi patients from January 2006 to December 2007. Majority of the study subjects (34.5%) belonged to the age group of 40-49 years. 58.6% of the study subjects were male, while remaining 41.4% of them were female. 51.7% of the lesions were located in the alveolar ridge where the other common sites were buccal mucosa (27.6%) and retro molar area (13.8%). Half of the study subjects (51.7%) were habituated to betel quid chewing followed by 37.9% and 10.3% were habituated to smoking and betel quid-smoking respectively. Grade I lesions was most prevalent (75.9%) in the study subjects.  Majority of cases presented with Stage IV lesions (55.2%). The sensitivity, specificity, positive predictive value, negative predictive value & accuracy of clinical palpation method for determining metastatic cervical lymph nodes were 93.33%, 64.29%, 73.68%, 90% and 79.3% respectively. Careful and repeated clinical palpation plays important role in evaluation of cervical lymph nodes though several modern techniques may help additionally in the management of oral cancer.DOI: http://dx.doi.org/10.3329/updcj.v1i2.13978 Update Dent. Coll. j. 2011: 1(2): 02-06


2011 ◽  
Vol 3 (6) ◽  
pp. 419-422
Author(s):  
Dr. Shool Rohit S Dr. Shool Rohit S ◽  
◽  
Dr. Anand P Zingade ◽  
Dr. Manish Kumar

Odonto ◽  
2011 ◽  
Vol 19 (38) ◽  
pp. 115-121
Author(s):  
S.O. Silva ◽  
K.P. Gatto ◽  
J.P. De Carli ◽  
P.H.C. Souza ◽  
C.S. Busin

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