Physician-performed Focused Ultrasound: An Update on Its Role and Performance

Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma

Background: The use of focused assessment with sonography in trauma (FAST) enables clinicians to rapidly screen for injury at the bedsides of patients. Pre-hospital FAST improves diagnostic accuracy and streamlines patient care, leading to dispositions to appropriate treatment centers. In this study, we determine the accuracy of artificial intelligence model-assisted free-fluid detection in FAST examinations, and subsequently establish an automated feedback system, which can help inexperienced sonographers improve their interpretation ability and image acquisition skills.

Methods: This is a single-center study of patients admitted to the emergency room from January 2020 to March 2021. We collected 324 patient records for the training model, 36 patient records for validation, and another 36 patient records for testing. We balanced positive and negative Morison's pouch free-fluid detection groups in a 1:1 ratio. The deep learning (DL) model Residual Networks 50-Version 2 (ResNet50-V2) was used for training and validation.

Results: The accuracy, sensitivity, and specificity of the model performance for ascites prediction were 0.961, 0.976, and 0.947, respectively, in the validation set and 0.967, 0.985, and 0.913, respectively, in the test set. Regarding feedback prediction, the model correctly classified qualified and non-qualified images with an accuracy of 0.941 in both the validation and test sets.

Conclusions: The DL algorithm in ResNet50-V2 is able to detect free fluid in Morison's pouch with high accuracy. The automated feedback and instruction system could help inexperienced sonographers improve their interpretation ability and image acquisition skills.

The Visualization of a Foreign Body in a Patient's Subglottic Region Using Point-of-Care Ultrasonography

Point-of-care ultrasonography is a real-time dynamic examination that is useful for evaluating the location of foreign bodies in a patient's gastrointestinal tract and soft tissue. In particular, it is useful for identifying radiolucent foreign bodies that are difficult to visualize using routine x-ray examinations. This case study describes the visualization of a radiolucent foreign body in a patient's subglottic region using point-of-care ultrasonography.

Surgeon-performed point-of-care ultrasound for acute cholecystitis: indications and limitations: a European Society for Trauma and Emergency Surgery (ESTES) consensus statement

BACKGROUND

Acute cholecystitis (AC), frequently responsible for presentation to the emergency department, requires expedient diagnosis and definitive treatment by a general surgeon. Ultrasonography, usually performed by radiology technicians and reported by radiologists, is the first-line imaging study for the assessment of AC. Targeted point-of-care ultrasound (POCUS), particularly in the hands of the treating surgeon, may represent an evolution in surgical decision-making and may expedite care, reducing morbidity and cost.

METHODS

This consensus guideline was written under the auspices of the European Society of Trauma and Emergency Surgery (ESTES) by the POCUS working group. A systematic literature search identified relevant papers on the diagnosis and treatment of AC. Literature was critically-appraised according to the GRADE evidence-based guideline development method. Following a consensus conference at the European Congress of Trauma & Emergency Surgery (Valencia, Spain, May 2018), final recommendations were approved by the working group, using a modified e-Delphi process, and taking into account the level of evidence of the conclusion.

RECOMMENDATIONS

We strongly recommend the use of ultrasound as the first-line imaging investigation for the diagnosis of AC; specifically, we recommend that POCUS may be adopted as the primary imaging adjunct to surgeon-performed assessment of the patient with suspected AC. In line with the Tokyo guidelines, we strongly recommend Murphy's sign, in conjunction with the presence of gallstones and/or wall thickening as diagnostic of AC in the correct clinical context. We conditionally recommend US as a preoperative predictor of difficulty of cholecystectomy. There is insufficient evidence to recommend contrast-enhanced ultrasound or Doppler ultrasonography in the diagnosis of AC. We conditionally recommend the use of ultrasound to guide percutaneous cholecystostomy placement by appropriately-trained practitioners.

CONCLUSIONS

Surgeons have recently embraced POCUS to expedite diagnosis of AC and provide rapid decision-making and early treatment, streamlining the patient pathway and thereby reducing costs and morbidity.