Association of ulcerative colitis, celiac disease, primary sclerosing cholangitis and liver cirrhosis in a young male.

Inflammatory bowel diseases (IBD), including ulcerative colitis, are chronic autoimmune conditions characterized by inflammation of the digestive system. The exact cause of IBD is unknown, but they often start during adolescence or early adulthood with symptoms such as urgency, rectal bleeding, diarrhea, abdominal pain and tenesmus. Primary sclerosing cholangitis and autoimmune hepatitis are recognized as co-occurring conditions associated with ulcerative colitis. However, the combination of ulcerative colitis, primary sclerosing cholangitis, liver cirrhosis, and celiac disease occurring concurrently has only been reported once before in a female patient. Here, we present the exceptional case of a Syrian adult male with all four of these conditions. This highlights the importance of screening for both celiac disease and cirrhosis in patients with ulcerative colitis and primary sclerosing cholangitis together, despite this combination of comorbidities is rare.

Effectiveness of peer-assisted teaching of medical English skills to non-native English-speaking medical students.

Background: Peer-assisted learning has been shown to be constructive in numerous aspects of undergraduate medical education. The purpose of this study was to evaluate the effectiveness of peer-assisted teaching of medical English skills to non-native English-speaking students. Methods: A medical English conversation course was conducted at Damascus University by a group of students. Targeted participants were intermediate level fellow students from the same program. A longitudinal study was carried out between 1 st to 31 st March 2019 to assess changes in self-assessment of English language skills among course participants. Pre- and post-course appraisal involved a review of previous experience with medical English language, a self-assessment of five English language skills, and an objective measurement of medical English knowledge. In addition, participants were requested to respond to a set of statements related to the importance and the usefulness of peer-assisted teaching of medical English skills. Paired-sample Student t-test was used to compare pre- and post-course appraisal results. Results: 42 students attended the course and completed pre- and post-course appraisals in full. Data analyses showed a statistically significant increase in participants' confidence in speaking medical English in public ( p<0.001) and using English in various medical settings (presenting and discussing cases, writing clinical reports, interviewing patients and reading English medical texts). Objective measurements of medical English knowledge confirmed a significant increase in participants' knowledge of methods of administration of therapeutics, knowledge of human body parts in English and familiarity with English medical abbreviations. Most participants agreed that peer-education was effective in teaching medical English skills to non-native English-speaking students and in increasing their confidence when using English in real-life medical scenarios. Conclusions: The present study highlights the effectiveness of peer-assisted teaching of medical English skills to non-native English-speaking medical students. Further validation is required and should compare the effectiveness of traditional versus peer-assisted teaching approaches.

Machine learning for rhabdomyosarcoma histopathology.

Correctly diagnosing a rare childhood cancer such as sarcoma can be critical to assigning the correct treatment regimen. With a finite number of pathologists worldwide specializing in pediatric/young adult sarcoma histopathology, access to expert differential diagnosis early in case assessment is limited for many global regions. The lack of highly-trained sarcoma pathologists is especially pronounced in low to middle-income countries, where pathology expertise may be limited despite a similar rate of sarcoma incidence. To address this issue in part, we developed a deep learning convolutional neural network (CNN)-based differential diagnosis system to act as a pre-pathologist screening tool that quantifies diagnosis likelihood amongst trained soft-tissue sarcoma subtypes based on whole histopathology tissue slides. The CNN model is trained on a cohort of 424 centrally-reviewed histopathology tissue slides of alveolar rhabdomyosarcoma, embryonal rhabdomyosarcoma and clear-cell sarcoma tumors, all initially diagnosed at the originating institution and subsequently validated by central review. This CNN model was able to accurately classify the withheld testing cohort with resulting receiver operating characteristic (ROC) area under curve (AUC) values above 0.889 for all tested sarcoma subtypes. We subsequently used the CNN model to classify an externally-sourced cohort of human alveolar and embryonal rhabdomyosarcoma samples and a cohort of 318 histopathology tissue sections from genetically engineered mouse models of rhabdomyosarcoma. Finally, we investigated the overall robustness of the trained CNN model with respect to histopathological variations such as anaplasia, and classification outcomes on histopathology slides from untrained disease models. Overall positive results from our validation studies coupled with the limited worldwide availability of sarcoma pathology expertise suggests the potential of machine learning to assist local pathologists in quickly narrowing the differential diagnosis of sarcoma subtype in children, adolescents, and young adults.

Rhabdomyosarcoma of the uterus with multiple metastases in a post-menopausal woman.

Rhabdomyosarcoma (RMS) is a malignant soft tissue tumor, usually presenting in the head and neck in children, with frequent metastases to the lungs. In this report, we present a rare case of a post-menopausal RMS patient who presented with walking difficulties after hysterectomy. A computerized tomography scan revealed metastases spreading to the mediastinum, retroperitoneum, lungs, liver and bones. On a protocol of Gemcitabine and Carboplatin, the patient showed stability in the dimensions of the masses with significant improvement in her quality of life.