Navigating Inconclusive Upper-Gastrointestinal Series in Infantile Bilious Vomiting: A Case Series on Intestinal Malrotation.

BACKGROUND Bilious vomiting in a child potentially portends the dire emergency of intestinal malrotation with volvulus, necessitating prompt surgical management, with differentials including small-bowel atresia, duodenal stenosis, annular pancreas, and intussusception. Although the upper-gastrointestinal series (UGI) is the diagnostic investigation of choice, up to 15% of the studies are inconclusive, thereby posing a diagnostic challenge. CASE REPORT We report a case series of 3 children referred for bilious vomiting, whose initial UGI was inconclusive and who were eventually confirmed to have intestinal malrotation at surgery. The first child was a female born at 37 weeks with antenatally diagnosed situs inversus and levocardia, who developed bilious vomiting on day 1 of life. The duodenojejunal flexure (DJ) could not be visualized on the UGI because of faint opacification on first pass of the contrast and subsequent overlap with the proximal jejunal loops. The second child was a male born at 36 weeks, presenting at age 4 months with bilious vomiting of 2 days duration. The third child was a female born at 29 weeks, presenting with bilious aspirates on day 3 of life. UGI for all 3 showed persistent hold-up of contrast at the proximal duodenum with no opacification of the distal duodenum or small bowel.Adjunctive techniques during the UGI and ultrasound examination helped achieve a preoperative diagnosis of malrotation in these children. CONCLUSIONS Application of diagnostic adjuncts to an inconclusive initial UGI may help elucidate a preoperative diagnosis of intestinal malrotation in infantile bilious vomiting.

SIR Flat CAP (Safety In Radiology - Flat-Packed Compact Airborne Precaution): A Low-Cost, Portable, Negative-Pressure Isolation Barrier Shield for Protecting Frontline Healthcare Workers.

Introduction Multiple barrier shields have been described since the start of the COVID-19 pandemic. Most of these are bulky and designed for use in the main anesthetic or radiology departments. We developed a portable, negative-pressure barrier shield designed specifically for portable ultrasound examinations. A novel supine cough generation model was developed together with a reverse qualitative fit test to simulate real-world aerosol droplet generation and dispersion for evaluating the effectiveness of the barrier shield. We report the technical specifications of this design, named "SIR Flat CAP" from Safety In Radiology - Flat-packed Compact Airborne Precaution, as well as its performance in reducing the spread of droplets and aerosols.  Methods The barrier shield was constructed using 1 mm acrylic panels, clear packing tape, foam double-sided tape, and surgical drapes. Negative pressure was provided via hospital wall suction. A supine cough generation model was developed to simulate cough droplet dispersal. A reverse qualitative fit test was used to assess for airborne transmission of microdroplets. Results The supine cough generation model was able to replicate similar results to previously reported supine human cough generation dispersion. The use of the barrier shield with negative-pressure suction prevented the escape of visible droplets, and no airborne microdroplets were detected by reverse qualitative fit testing from the containment area. Conclusions The barrier shield significantly reduces the escape of visible and airborne droplets from the containment area, providing an additional layer of protection to front-line sonographers.

Interobserver Variability of Hip Dysplasia Indices on Sweep Ultrasound for Novices, Experts, and Artificial Intelligence.

BACKGROUND: Ultrasound for developmental dysplasia of the hip (DDH) is challenging for nonexperts to perform and interpret. Recording "sweep" images allows more complete hip assessment, suitable for automation by artificial intelligence (AI), but reliability has not been established. We assessed agreement between readers of varying experience and a commercial AI algorithm, in DDH detection from infant hip ultrasound sweeps. METHODS: We selected a full spectrum of poor-to-excellent quality images and normal to severe dysplasia, in 240 hips (120 single 2-dimensional images, 120 sweeps). For 12 readers (radiologists, sonographers, clinicians and researchers; 3 were DDH subspecialists), and a ultrasound-FDA-cleared AI software package (Medo Hip), we calculated interobserver reliability for alpha angle measurements by intraclass correlation coefficient (ICC2,1) and for DDH classification by Randolph Kappa. RESULTS: Alpha angle reliability was high for AI versus subspecialists (ICC=0.87 for sweeps, 0.90 for single images). For DDH diagnosis from sweeps, agreement was high between subspecialists (kappa=0.72), and moderate for nonsubspecialists (0.54) and AI (0.47). Agreement was higher for single images (kappa=0.80, 0.66, 0.49). AI reliability deteriorated more than human readers for the poorest-quality images. The agreement of radiologists and clinicians with the accepted standard, while still high, was significantly poorer for sweeps than 2D images (P<0.05). CONCLUSIONS: In a challenging exercise representing the wide spectrum of image quality and reader experience seen in real-world hip ultrasound, agreement on DDH diagnosis from easily obtained sweeps was only slightly lower than from single images, likely because of the additional step of selecting the best image. AI performed similarly to a nonsubspecialist human reader but was more affected by low-quality images.