Can Radiological Tumour Thickness Predict Pathological Prognostic Factors in Clinicoradiologically Node-Negative Oral Squamous Carcinoma? A Prospective Study.

Background: This research investigates potential connections between radiological tumour thickness determined by CT scans and various pathological prognostic factors. These factors include pathological tumour thickness (pTT), pathological depth of invasion (DOI), and positive cervical nodal metastasis. This analysis focuses on cases of clinicoradiologically node-negative squamous cell carcinoma of the buccal mucosa. Method: Sixty-one previously untreated clinicoradiologically node-negative squamous cell carcinoma of buccal mucosa were included in the study. The radiological tumour thickness in the preoperative CT scans is correlated with other prognostic factors like pathological tumour thickness, DOI and presence or absence of neck node. Result: Sixty-one patients were included in the study with a median age of 54 years (Range 27-84). Forty-two patients (68.9%) were male, and 19 were females (31.1%). There was no statistically significant difference in mean values of rTT among patients with positive or negative post-operative nodal metastases. However, a significant correlation could be established with rTT to other potential prognostic factors. Conclusion: Tumor thickness in preoperative CT scans can be used to predict post-operative prognostic factors in oral squamous cell carcinoma.

Automated diagnosis of COVID-19 using radiological modalities and Artificial Intelligence functionalities: A retrospective study based on chest HRCT database.

Background and Objective: The spread of coronavirus has been challenging for the healthcare system's proper management and diagnosis during the rapid spread and control of the infection. Real-time reverse transcription-polymerase chain reaction (RT-PCR), though considered the standard testing measure, has low sensitivity and is time-consuming, which restricts the fast screening of individuals. Therefore, computer tomography (CT) is used to complement the traditional approaches and provide fast and effective screening over other diagnostic methods. This work aims to appraise the importance of chest CT findings of COVID-19 and post-COVID in the diagnosis and prognosis of infected patients and to explore the ways and means to integrate CT findings for the development of advanced Artificial Intelligence (AI) tool-based predictive diagnostic techniques. Methods: The retrospective study includes a 188 patient database with COVID-19 infection confirmed by RT-PCR testing, including post-COVID patients. Patients underwent chest high-resolution computer tomography (HRCT), where the images were evaluated for common COVID-19 findings and involvement of the lung and its lobes based on the coverage region. The radiological modalities analyzed in this study may help the researchers in generating a predictive model based on AI tools for further classification with a high degree of reliability. Results: Mild to moderate ground glass opacities (GGO) with or without consolidation, crazy paving patterns, and halo signs were common COVID-19 related findings. A CT score is assigned to every patient based on the severity of lung lobe involvement. Conclusion: Typical multifocal, bilateral, and peripheral distributions of GGO are the main characteristics related to COVID-19 pneumonia. Chest HRCT can be considered a standard method for timely and efficient assessment of disease progression and management severity. With its fusion with AI tools, chest HRCT can be used as a one-stop platform for radiological investigation and automated diagnosis system.

Adenoid cystic carcinoma of the upper trachea: a rare neoplasm.

Primary malignant tracheal tumors are not common and adenoid cystic carcinoma (ACC) of trachea is rare. We report an extremely rare case of ACC of proximal trachea, which was diagnosed in a 42-year-old male who presents with 6-month history of dyspnea. Lateral skiagram of neck, computed tomography, and magnetic resonance imaging revealed a broad-based polypoidal soft tissue mass arising from posterior wall of the proximal trachea. Biopsy confirmed the diagnosis of ACC. The patient was treated by surgical resection followed by radiotherapy and is on regular follow-up. Follow-up at 18 months post-treatment showed no local recurrence or distant metastases. The literature on tracheal ACC is reviewed. Image findings are briefly discussed.