Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI) approaches in increasing diagnostic accuracy for the detection and classification of lymph nodes, but implementation of many of these approaches in real-world clinical settings would necessitate an automated lymph node segmentation pipeline as a first step. In this study, we aim to develop a non-invasive deep learning (DL) algorithm for detecting and automatically segmenting cervical lymph nodes in 25,119 CT slices from 221 normal neck contrast-enhanced CT scans from patients without head and neck cancer. We focused on the most challenging task of segmentation of small lymph nodes, evaluated multiple architectures, and employed U-Net and our adapted spatial context network to detect and segment small lymph nodes measuring 5-10 mm. The developed algorithm achieved a Dice score of 0.8084, indicating its effectiveness in detecting and segmenting cervical lymph nodes despite their small size. A segmentation framework successful in this task could represent an essential initial block for future algorithms aiming to evaluate small objects such as lymph nodes in different body parts, including small lymph nodes looking normal to the naked human eye but harboring early nodal metastases.

Oral Health Status in the Pars Cohort Study.

BACKGROUND: Poor oral health is common in the world, especially in low-income and developing countries. We evaluated oral health status and its association with sociodemographic and economic variables in one of the largest cohort studies in Iran. METHODS: This cross-sectional study was conducted using data from the Pars Cohort Study which is conducted in a rural area in southern Iran. A total of 9264 individuals were enrolled in the initial registry. Data on sociodemographic and clinical characteristics were collected. Oral assessment was completed by trained physicians. Generalized negative binomial regression modeling was applied. RESULTS: Overall, data from 9264 participants entered the final analysis. The participants' mean age was 52.6 ± 9.7 years. In total, 8975 participants (96.8%) had at least one tooth loss and 1790 participants (19.3%) were edentulous. Female gender (incidence rate ratio [IRR]: 1.05, 95% CI: 1.02, 1.08) (IRR: 1.12, 95% CI: 1.07, 1.16), opium consumption (IRR: 1.17, 95% CI: 1.12, 1.22) (IRR: 1.23, 95% CI: 1.16 1.30), lower socioeconomic status (SES) (IRR: 1.07, 95% CI: 1.03, 1.10) (IRR: 1.10, 95% CI: 1.06, 1.15) and being illiterate (IRR: 1.23, 95% CI: 1.20, 1.26) (IRR: 1.36, 95% CI: 1.32, 1.41) were associated with higher decayed, missing and filled teeth (DMFT) and more tooth loss. CONCLUSION: Oral health was poor in our study sample, especially among older individuals, people with lower SES, illiterate participants, smokers and opiate consumers, which shows the need for improvement in oral health care.

Pediatric liver transplantation and COVID-19: a case report.

BACKGROUND: Immunosuppressed patients, including individuals with organ transplantation, have been among susceptible groups with regard to COVID-19, on the other hand pediatric patients more commonly undergo a mild clinical course after acquiring COVID-19. To the best of the authors knowledge, to this date very little data exists on COVID-19 in a pediatric patient with liver transplantation. CASE PRESENTATION: We report a three year-old boy who had liver transplantation at 18 months old. He was admitted due to dyspnea with impression of acute respiratory distress syndrome and was then transferred to the intensive care unit. Chest X-ray at admission showed bilateral infiltration. Vancomycin, meropenem, azithromycin, voriconazole and co-trimoxazole were started from the first day of admission. On day 4 of admission, with suspicion of COVID-19, hydroxychloroquine, lopinavir/ritonavir and oseltamivir were added to the antibiotic regimen. PCR was positive for COVID-19. The patient developed multi-organ failure and died on day 6 of admission. CONCLUSIONS: For pediatric patients with organ transplantations, extreme caution should be taken, to limit and prevent their contact with COVID-19 during the outbreak, as these patients are highly susceptible to severe forms of the disease.