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Rationale and design of uLtrasOund applicability in the assessment of patients with fibRosing interstitial lung Disease (LORD): a research protocol of a prospective cohort study

Por: Patabendige · S. · Harders · S. M. W. · Bendstrup · E. · Durheim · M. T. · Laursen · C. B. · Andersen-Ranberg · K. · Brockhattingen · K. K. · Kildegaard · C. · Bendixen · M. · Davidsen · J. R.
Introduction

Fibrosing interstitial lung disease (F-ILD) are a heterogeneous group of diseases with multiple subtypes. Both idiopathic pulmonary fibrosis and other ILDs associated with a risk of developing progressive pulmonary fibrosis (PPF) are subtypes of this category. A multidisciplinary team discussion, including a chest high-resolution CT (HRCT), is usually considered the gold standard for diagnosis of F-ILD. Repeated HRCT is one of several established methods to assess progression and thus development of PPF, but it is associated with substantial costs and radiation exposure. Thoracic ultrasound (TUS) and other ultrasound (US) methods have emerged as radiation-free methods for both diagnosing and monitoring disease severity in F-ILD. Yet, consistent knowledge on the use of different TUS- and US methods in patients with F-ILD is limited.

Methods

The LORD study is a prospective cohort study conducted in participants with F-ILD at a tertiary ILD centre in Denmark. Physiological testing and patient-related outcome measures, together with TUS- and US examinations, will be performed at inclusion, after 6 and 12 months. The correlations between these assessments will be evaluated. HRCT will be conducted between 3 months prior to and 1 month after baseline, and after 1 year. At least 34 participants will be included.

Ethics and dissemination

The protocol was approved by the Danish Data Protection Agency (journal number: 22/45135) and the Science Ethics Committee for the Region of Southern Denmark (journal number: S-20220036). Results will be published in peer-reviewed international journals and will be presented at an international congress.

Trial registration number

NCT06844331.

Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre-postintervention study

Por: Cold · K. M. · Arshad · A. · Kildegaard · C. · Laursen · C. B. · Konge · L. · Nielsen · A. B.
Objectives

Does a simulation-based training intervention with an artificial intelligence (AI) navigation system improve their clinical bronchoscopy performance? And can the AIs outcome measures be used to evaluate clinical performance?

Design

Pre–postintervention study.

Setting

Odense University Hospital of Southern Denmark, pulmonary endoscopy suite.

Participants

Nine bronchoscopists (4 experienced, >500 bronchoscopies and 5 intermediates, 10–500 bronchoscopies).

Primary outcome measures

Diagnostic completeness (DC), structured progress (SP), procedure time (PT) and procedure efficiency (DC/PT).

Results

The primary outcome measures showed no statistically significant difference between the pre- and postintervention bronchoscopies DC: 53% versus 59%, p=0.16, SP: 29% versus 32%, p=0.35 and PT: 219 s versus 181 s, p=0.22. The experienced outperformed the intermediates regarding DC: 73% versus 43%, p

Conclusions

DC, SP and PT showed no statistically significant difference after a simulation-based training intervention. DC, SP and procedure efficiency differentiated between experienced and intermediate bronchoscopists and can be used to evaluate clinical bronchoscopy performance.

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