Publications by authors named "K Padmavathy"

Ameloblastic carcinoma is a rare malignant odontogenic tumor that is further classified into being primary or secondary arising from a preexisting benign ameloblastoma. It affects the mandible in two thirds of the patients. There is no standard treatment protocol for this lesion but radicalsurgical excision with or without radiotherapy is reported in the majority of cases.

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Artificial intelligence (AI) has demonstrated significant promise for the present and future diagnosis of diseases. At the moment, AI-powered diagnostic technologies can help physicians decipher medical pictures like X-rays, magnetic resonance imaging, and computed tomography scans, resulting in quicker and more precise diagnoses. In order to make a prospective diagnosis, AI algorithms may also examine patient information, symptoms, and medical background.

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Objective: This study aimed to evaluate the validity and reliability of three bite registrations on articular disc position in temporomandibular disorder patients using magnetic resonance imaging (MRI).

Materials And Methods: Fifteen clinically symptomatic and orthodontically untreated temporomandibular disorder patients within the age range of 17-40 years (mean age: 28.5 years) were examined.

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Context: Resistant pathogens to purulent odontogenic infections have evolved due to misuse of antibiotics. Hence, it is important to use a suitable antibacterial agent.

Aim: This study aimed to identify the common bacterial species causing odontogenic infections and to determine their antibiotic susceptibility profile to amoxicillin, amoxicillin and clavulanic acid, azithromycin, and linezolid.

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Background: Lactate dehydrogenase (LDH) has been proven to be a diagnostic marker in oral squamous cell carcinoma (OSCC). However, the prognostic value of serum LDH in OSCC is yet to be explored. The purpose of this study is to correlate the level of serum LDH with the degree of OSCC and to evaluate the role of serum LDH as a prognostic marker in OSCC.

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