Perforated Duodenal Ulcer in a Young Nepalese Girl: An Infrequent Diagnosis for Age

Perforated duodenal ulcer (PDU) is exceedingly uncommon in children. In a child with acute abdomen and pneumoperitoneum, an appendiceal etiology is more often suspected as a likely cause. Failure or delay to diagnose a PDU can result in significant morbidity and even mortality. We report a case of acute abdomen in a girl with PDU with a successful outcome. A 12-year-old school girl presented to emergency room (ER) with acute generalized abdominal pain for 2 days. Clinical examination revealed florid peritonitis, and abdominal radiographs showed free peritoneal air. At emergency laparotomy, PDU was noted with general peritoneal contamination. Omental patch repair and continued supportive care resulted in gradual improvement. PDU is an uncommon cause of peritonitis in children and poses significant challenges in management. Strong suspicion and prompt appropriate intervention is necessary to avoid untoward outcomes.

Atypical enteritis causing life-threatening pneumatosis intestinalis in a dog – radiographic and ultrasonographic findings

A geriatric dog was presented for acute vomiting, anorexia and lethargy. Abdominal ultrasound was suggestive of the presence of gas within the small intestinal walls. Additional abdominal radiographs confirmed the ultrasonographic abnormalities, compatible with pneumatosis intestinalis. Explorative laparotomy revealed hemorrhagic lesions, thickened intestinal walls and serosal discoloration of the jejunum. Partial jejunectomy was performed and histopathology showed findings compatible with atypical bacterial enteritis. The dog recovered completely and did not show any clinical signs during a follow-up period of one year after surgery.

Fecal Impaction in the Rectum and Rectosigmoid Colon Secondary to Sunflower Seed Ingestion

A 35-month-old male who had eaten a bag of sunflower seeds initially presented to the emergency department (ED) with visible seeds in the anus and was discharged home with a stool softener after manual disimpaction. He then returned to the hospital 2 days later, and abdominal radiographs confirmed significant fecal material within the rectum and rectosigmoid colon. After failed oral and rectal laxative therapy attempts, subsequent disimpaction under anesthesia revealed an undigested sunflower seed bezoar in the rectum extending to the distal segment of his sigmoid colon. This case highlights the dangers and possible complications of seed ingestion even in small quantities in children along with the pathophysiology of impaction. This is one of the youngest cases reported in the United States involving the rectum and rectosigmoid colon with a sunflower bezoar.

Low incidence of surgical pathology in infants with bilious vomiting

Background: Bilious vomiting in the neonate is an important presenting sign of intestinal obstruction. We conducted a review of the presentation and management of term neonates admitted with bilious vomiting (BV) to determine the incidence of a surgical pathology in our population. Design: Retrospective cohort study using a prospectively maintained database. Participants: All term infants admitted to NICU with BV at the Royal Women’s Hospital Melbourne during a 5-calendar year period. Results: All 153 babies had at least one imaging study. 128 (83.7%) had plain abdominal radiographs. 127 (83%) underwent upper gastrointestinal contrast scan (UGI) and 103 (67.3%) had both. 6 (3.9%) UGI studies were abnormal, with 3 babies (1.9%) subsequently having surgical pathology (2 volvulus, 1 Hirschsprung disease). Only 6 (3.9%) babies in our cohort had a surgical pathology identified (4 Hirschsprung disease, 2 malrotation). Babies with surgical pathology were more likely to present later (median 40 hours versus 23 hours). Abdominal distension was highly sensitive for surgical pathology. Conclusion: The incidence of surgical pathology in this cohort was low compared to other studies. It is more likely in infants presenting with BV after 24 hours.

1555 Comparison of Face-To-Face Versus Online Delivery of a Preparatory Course for First Year Clinical Students

Aim The coronavirus pandemic has had a huge impact on medical education, with increasing reliance on online delivery of teaching. Sound awareness of investigations available to clinicians is an essential skill, the foundations of which are built from the first clinical year. Our aim is to evaluate whether online teaching has the same efficacy as face-to-face teaching in the context of clinical investigations teaching. Method We designed a case-based course using active learning methods (by means of audience participation tools) to prepare first year clinical students in interpreting key investigations (bedside, laboratory and imaging tests) with focus on surgical conditions. This course was delivered face-to-face in November 2019 and subsequently re-delivered via an online platform in November 2020. We utilised a pre- (PR) and post- (PS) confidence questionnaire and a 13-part mock single best answer examination. Results 32 students attended the face-to-face course; 27 (84.3%) completed the PR and 21 (65.6%) completed the PS. There was a significant improvement in examination scores (56.9% to 71.7%, P < 0.01) and a significant improvement in one of the 6 confidence domains tested (interpreting abdominal radiographs, P < 0.001). 80 students attended the online course; 46 (57.5%) completed the PR and 40 (50%) completed the PS. There was a significant improvement in examination scores (58.8% to 73.2%, P < 0.001) and a significant improvement in two of the 6 confidence domains (interpreting laboratory tests and abdominal radiographs, P < 0.001 for both). Conclusions Online teaching is as effective as face-to-face teaching in improving knowledge and confidence in clinical investigations for first clinical year students.

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Real-time execution of machine learning (ML) pipelines on radiology images is difficult due to limited computing resources in clinical environments, whereas running them in research clusters requires efficient data transfer capabilities. We developed Niffler, an open-source Digital Imaging and Communications in Medicine (DICOM) framework that enables ML and processing pipelines in research clusters by efficiently retrieving images from the hospitals’ PACS and extracting the metadata from the images. We deployed Niffler at our institution (Emory Healthcare, the largest healthcare network in the state of Georgia) and retrieved data from 715 scanners spanning 12 sites, up to 350 GB/day continuously in real-time as a DICOM data stream over the past 2 years. We also used Niffler to retrieve images bulk on-demand based on user-provided filters to facilitate several research projects. This paper presents the architecture and three such use cases of Niffler. First, we executed an IVC filter detection and segmentation pipeline on abdominal radiographs in real-time, which was able to classify 989 test images with an accuracy of 96.0%. Second, we applied the Niffler Metadata Extractor to understand the operational efficiency of individual MRI systems based on calculated metrics. We benchmarked the accuracy of the calculated exam time windows by comparing Niffler against the Clinical Data Warehouse (CDW). Niffler accurately identified the scanners’ examination timeframes and idling times, whereas CDW falsely depicted several exam overlaps due to human errors. Third, with metadata extracted from the images by Niffler, we identified scanners with misconfigured time and reconfigured five scanners. Our evaluations highlight how Niffler enables real-time ML and processing pipelines in a research cluster.

Spinal ectopic choroid plexus papilloma in a cat

Case summary A 10-year-old male neutered Russian Blue cat was presented with a 2-month history of progressive non-ambulatory paraparesis. Spinal MRI revealed a well-demarcated, compressive intradural extramedullary mass at the level of T1 vertebra. The mass had subtle hyperintensity on T2-weighted images, was isointense on T1-weighted images and had diffuse, marked enhancement following gadolinium administration. Neuroaxis MRI, including limited brain sequences, excluded other visible lesions. Thoracic and abdominal radiographs were unremarkable. The mass was resected via a dorsal C7–T2 laminectomy and durotomy. Histopathology revealed a neoplasm composed of columnar-to-polygonal cells forming bilayered palisading patterns with a few apical cilia. Three mitoses were noted in 10 high-power fields. This was consistent with an epithelial neoplasm and initially a metastatic adenocarcinoma was considered most likely. Full-body CT with contrast and including the brain found rhinitis but did not identify any additional neoplastic foci. Biopsies of the nasal cavity and fine-needle aspiration of the spleen and liver were unremarkable. On immunohistochemical evaluation, pan-cytokeratin and E-cadherin immunolabelling was observed; however, synaptophysin, thyroglobulin, chromogranin A and glial fibrillary acidic protein was not detected. This, along with the histological morphology and absence of a primary tumour, was compatible with an ectopic choroid plexus neoplasm. Follow-up performed at 3, 14 and 24 months postoperatively revealed neurological improvement without recurrence. Relevance and novel information We describe the presentation, histopathological and immunohistochemical features and outcome of a case of a rare ectopic choroid plexus neoplasm in the spinal cord of a cat.

Localising ingested metallic foreign bodies to guide surgical planning: A novel use for the CT metal artefact reduction algorithm

We present the case of a 20 year old female patient who presented following ingestion of multiple button magnets. She remained clinically well however serial abdominal radiographs demonstrated the magnets were not passing through the gastrointestinal tract and a CT was therefore performed for further assessment and to aid surgical planning. Artefact from the magnets made interpretation of the CT challenging. The use of a Metal Artefact Reduction (MAR) algorithm however enabled accurate localisation of the magnets thus guiding subsequent surgical intervention. Whilst MAR algorithms are usually used in the assessment of iatrogenic metallic devices (e.g., joint prostheses), this case demonstrates an example of their potential wider use.

An artificial intelligence deep learning model for identification of small bowel obstruction on plain abdominal radiographs

Objectives: Small bowel obstruction is a common surgical emergency which can lead to bowel necrosis, perforation and death. Plain abdominal X-rays are frequently used as a first-line test but the availability of immediate expert radiological review is variable. The aim was to investigate the feasibility of using a deep learning model for automated identification of small bowel obstruction. Methods: A total of 990 plain abdominal radiographs were collected, 445 with normal findings and 445 demonstrating small bowel obstruction. The images were labelled using the radiology reports, subsequent CT scans, surgical operation notes and enhanced radiological review. The data were used to develop a predictive model comprising an ensemble of five convolutional neural networks trained using transfer learning. Results: The performance of the model was excellent with an area under the receiver operator curve (AUC) of 0.961, corresponding to sensitivity and specificity of 91 and 93% respectively. Conclusion: Deep learning can be used to identify small bowel obstruction on plain radiographs with a high degree of accuracy. A system such as this could be used to alert clinicians to the presence of urgent findings with the potential for expedited clinical review and improved patient outcomes. Advances in knowledge: This paper describes a novel labelling method using composite clinical follow-up and demonstrates that ensemble models can be used effectively in medical imaging tasks. It also provides evidence that deep learning methods can be used to identify small bowel obstruction with high accuracy.