Lung Ultrasound Volume Sweep Imaging for Pneumonia Detection in Rural Areas: Piloting Training in Rural Peru.

Global health Lung ultrasound Pediatrics Pneumonia Ultrasound Volume sweep imaging

Journal

Journal of clinical imaging science
ISSN: 2156-7514
Titre abrégé: J Clin Imaging Sci
Pays: United States
ID NLM: 101564708

Informations de publication

Date de publication:
2019
Historique:
received: 23 03 2019
accepted: 21 05 2019
entrez: 21 9 2019
pubmed: 21 9 2019
medline: 21 9 2019
Statut: epublish

Résumé

Pneumonia is the leading cause of pediatric mortality worldwide among children 0-5 years old. Lung ultrasound can be used to diagnose pneumonia in rural areas as it is a portable and relatively economic imaging modality with ~95% sensitivity and specificity for pneumonia in children. Lack of trained sonographers is the current limiting factor to its deployment in rural areas. In this study, we piloted training of a volume sweep imaging (VSI) ultrasound protocol for pneumonia detection in Peru with rural health workers. VSI may be taught to individuals with limited medical/ultrasound experience as it requires minimal anatomical knowledge and technical skill. In VSI, the target organ is imaged with a series of sweeps and arcs of the ultrasound probe in relation to external body landmarks. Rural health workers in Peru were trained on a VSI ultrasound protocol for pneumonia detection. Subjects were given a brief didactic session followed by hands-on practice with the protocol. Each attempt was timed and mistakes were recorded. Participants performed the protocol until they demonstrated two mistake-free attempts. It took participants a median number of three attempts (range 1-6) to perform the VSI protocol correctly. Time to mastery took 51.4 ± 17.7 min. There were no significant differences among doctors, nurses, and technicians in total training time ( Rural health workers learned a VSI protocol for pneumonia detection with relative ease in a short amount of time. Future studies should investigate the clinical efficacy of this VSI protocol for pneumonia detection. A volume sweep imaging (VSI) protocol for pneumonia detection can be taught with minimal difficulty to rural health workers without prior ultrasound experience. No difference was found in training performance related to education level or age. VSI involves no significant knowledge of anatomy or technical skill.

Identifiants

pubmed: 31538033
doi: 10.25259/JCIS_29_2019
pii: JCIS-9-35
pmc: PMC6737249
doi:

Types de publication

Journal Article

Langues

eng

Pagination

35

Déclaration de conflit d'intérêts

This project was made possible through partnership with Medical Innovation and Technology. This is a Peruvian company with the goal of bringing low-cost technology to rural areas. Medical Innovation and Technology coordinated our project with the rural health centers we visited. Benjamin Castaneda is a founder of Medical Innovation and Technology and assisted in the study design. Lorena Tamayo, Leslie Trujillo, and Claudia Carlotto assisted in the training and data collection, however, no one from the company was involved in the data analysis or interpretation. This manuscript was completed solely by those from the University of Rochester without financial conflict of interest.

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Auteurs

Thomas J Marini (TJ)

Departments of Imaging Sciences, University of Rochester, Rochester, New York, United States.

Benjamin Castaneda (B)

Department of Engineering, Pontifical Catholic University of Peru, Lima, Peru.

Timothy Baran (T)

Departments of Imaging Sciences, University of Rochester, Rochester, New York, United States.

Timothy P O'Connor (TP)

Departments of Emergency Medicine, University of Rochester, Rochester, New York, United States.

Brian Garra (B)

Medical Imaging Ministries of the Americas, Clermont, Florida, United States.

Lorena Tamayo (L)

Medical Innovation and Technology, San Isidrio, Peru.

Maria Zambrano (M)

Touro College of Osteopathic Medicine, Middletown, New York, United States.

Claudia Carlotto (C)

Medical Innovation and Technology, San Isidrio, Peru.

Leslie Trujillo (L)

Medical Innovation and Technology, San Isidrio, Peru.

Katherine A Kaproth-Joslin (KA)

Departments of Imaging Sciences, University of Rochester, Rochester, New York, United States.

Classifications MeSH