Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors.

PURPOSE: To create a new artificial intelligence approach based on deep learning (DL) from multiparametric MRI in the differential diagnosis of common parotid tumors. METHODS: Parotid tumors were classified using the InceptionResNetV2 DL model and majority voting approach with MRI images of 123 patients. The study was conducted in three stages. At stage I, the classification of the control, pleomorphic adenoma, Warthin tumor and malignant tumor (MT) groups was examined, and two approaches in which MRI sequences were given in combined and non-combined forms were established. At stage II, the classification of the benign tumor, MT and control groups was made. At stage III, patients with a tumor in the parotid gland and those with a healthy parotid gland were classified. RESULTS: A stage I, the accuracy value for classification in the non-combined and combined approaches was 86.43% and 92.86%, respectively. This value at stage II and stage III was found respectively as 92.14% and 99.29%. CONCLUSIONS: The approach presented in this study classifies parotid tumors automatically and with high accuracy using DL models.

A Rare Cause of Respiratory Distress in Newborn: Huge Nasal Chondromesenchymal Hamartoma; Patient Report.

ABSTRACT: Nasal chondromesenchymal hamartoma is a rare benign tumor of the sinonasal tract in pediatrics and only few cases in infantile, early pediatric, and adolescent population have been reported. Nasal chondromesenchymal hamartoma commonly presents as respiratory difficulty, intranasal mass, or facial swelling and typically arises from the nasal septum or vestibule, lest frequently maxillary or ethmoid sinuses, orbit, nasopharynx, and oropharynx. The authors report a case of nasal chondromesench- ymal hamartoma that caused respiratory distress since birth, in a 4- week-old (28 days) infant which was arised from the medial aspect of the middle turbinate, an unexpected localization.

Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors.

PURPOSE OF REVIEW: Advances in computer technology and growing expectations from computer-aided systems have led to the evolution of artificial intelligence into subsets, such as deep learning and radiomics, and the use of these systems is revolutionizing modern radiological diagnosis. In this review, artificial intelligence applications developed with radiomics and deep learning methods in the differential diagnosis of parotid gland tumors (PGTs) will be overviewed. RECENT FINDINGS: The development of artificial intelligence models has opened new scenarios owing to the possibility of assessing features of medical images that usually are not evaluated by physicians. Radiomics and deep learning models come to the forefront in computer-aided diagnosis of medical images, even though their applications in the differential diagnosis of PGTs have been limited because of the scarcity of data sets related to these rare neoplasms. Nevertheless, recent studies have shown that artificial intelligence tools can classify common PGTs with reasonable accuracy. SUMMARY: All studies aimed at the differential diagnosis of benign vs. malignant PGTs or the identification of the commonest PGT subtypes were identified, and five studies were found that focused on deep learning-based differential diagnosis of PGTs. Data sets were created in three of these studies with MRI and in two with computed tomography (CT). Additional seven studies were related to radiomics. Of these, four were on MRI-based radiomics, two on CT-based radiomics, and one compared MRI and CT-based radiomics in the same patients.

A Rare Cause of Headache That Should Be Kept in Mind: Isolated Concha Bullosa Fungus Ball.

Concha bullosa is characterized by pneumotization of the middle turbinate and is a common variation of sinonasal anatomy and is often asymptomatic. The presence of a fungus ball in concha bullosa and the associated clinic symptoms are very rare. Concha bullosa fungus balls are a rare differential diagnosis in a patient presenting to the otorhinolaryngology outpatient clinic with headache.In this article, the authors aimed to present an isolated fungus ball case in concha bullosa as a rare cause of headache differential diagnosis.

Endovascular Treatment of Carotid Pseudoaneurysm Bleeding Due to Parapharyngeal Abscess.

Carotid artery pseudoaneurysm are a rare complication of deep neck infections, especially in the antibiotic era. Although it is rare, it may result in life-threatening conditions. Here, the authors present a case of pseudoaneurysm of the carotid artery caused by parapharyngeal abscess and causing massive oropharyngeal bleeding and treat with endovascular approach in a 40-year-old woman presenting with neck swelling and fever.