Results 191 to 200 of about 253,405 (300)

Analysis of Histopathologic Parameters and Patterns of Invasion in Oral Squamous Cell Carcinoma and Their Correlation With Patient Survival

open access: yesOral Diseases, EarlyView.
ABSTRACT Introduction Oral squamous cell carcinoma is the most prevalent malignant neoplasm in the head and neck region, and its prognosis is influenced by various histopathological and clinical factors. pTNM tumor staging and invasion patterns are fundamental for predicting therapeutic response and patient survival.
Ana Mirian da Silva Cavalcante   +9 more
wiley   +1 more source

Regional Nerve Blocks and OnabotulinumtoxinA in the Management of Trigeminal Trophic Syndrome: A Case Report of a Novel Multimodal Approach

open access: yesOral Surgery, EarlyView.
ABSTRACT Objective Trigeminal trophic syndrome (TTS) is a rare condition caused by trigeminal nerve injury, classically characterized by anaesthesia, paresthesia and facial ulceration. We present two cases of TTS successfully managed with regional nerve blocks and onabotulinumtoxinA. Methods Two patients—a 54‐year‐old woman and a 65‐year‐old man—with a
Shamin Masrour, Rhea Sudhakaran
wiley   +1 more source

Painful Purplish Lesion on the Right Lower Lip Mucosa

open access: yes
Oral Diseases, EarlyView.
Isabella Cristine Pegolo Dos Santos Alamino   +5 more
wiley   +1 more source

Unusual Giant Sialocyst Arising From Wharton's Duct: A Case Report

open access: yesOral Surgery, EarlyView.
ABSTRACT Background Head and neck masses in adults are a common reason for referral to maxillofacial surgeons and otolaryngologists, and most are benign. True salivary duct cysts (sialocysts) are extremely rare, accounting for < 1% of salivary duct lesions, and primarily involve minor salivary glands. Involvement of major salivary glands is exceptional,
Maksym Skrypnyk   +11 more
wiley   +1 more source

Comparative trends in prevalence of malignant neoplasms lip in Russia and Moscow region

open access: yesКлиническая стоматология, 2019
I.A. Kryazhinova   +4 more
openaire   +1 more source

A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

open access: yesOrthopaedic Surgery, Volume 17, Issue 5, Page 1513-1524, May 2025.
This study developed an automated distal radius fracture classification system based on statistical shape model (SSM) feature extraction and neural network classification. The method first extracts point cloud data from CT images, then extracts fracture features through registration, downsampling, and PCA dimensionality reduction, before inputting them
Xing‐bo Cai   +12 more
wiley   +1 more source

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