Critical Care Imaging—3rd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1173

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Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
Interests: brain-lung crosstalk; ARDS; respiratory physiotherapy; tracheostomy/ airways; microbiota
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Special Issue Information

Dear Colleagues,

In the last decade, radiologists and intensive care physicians have collaborated to improve fast imaging acquisition, early diagnosis, and standardized imaging findings in order to provide several hints that may aid clinicians in interpreting imaging findings and easily managing patients. Given the constraints related to time and patients with limited mobility, bedside radiologic evaluation in intensive care often cannot be as comprehensive and optimal as in the radiology department. However, diagnostic imaging techniques and their interpretation (including ultrasound, computed tomography, and magnetic resonance) have become essential in guiding intensive care daily practice and patient management. In addition, the ability to interpret critical care images is becoming even more essential to help clinicians in handling emergency situations and making confident decisions.

The purpose of this Special Issue is to highlight novelties in diagnostic medical imaging, including the research that is being carried out to improve radiological assessment and diagnostic approaches in critical care medicine.

Dr. Denise Battaglini
Guest Editor

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Keywords

  • computed tomography 
  • intensive care images 
  • critical care ultrasound 
  • magnetic resonance

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Published Papers (1 paper)

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Research

17 pages, 946 KiB  
Article
Predictive Value of Diaphragm and Lung Ultrasonography for Weaning Failure in Critically Ill Patients with Acute Respiratory Failure Due to COVID-19 Pneumonia
by Camila Fonseca, Claudio Novoa, Matias Aguayo, Ricardo Arriagada, Cristóbal Alvarado, César Pedreros, David Kraunik, Camila M. Martins, Patricia R. M. Rocco and Denise Battaglini
Diagnostics 2024, 14(20), 2263; https://doi.org/10.3390/diagnostics14202263 - 11 Oct 2024
Viewed by 929
Abstract
Background: This study analyzed weaning characteristics and assessed the association of clinical and ultrasonographic indices—maximum inspiratory pressure (MIP), rapid shallow breathing index (RSBI), peak flow expiratory (PFE), diaphragm-thickening fraction (DTF), diaphragm thickness (DT), diaphragm excursion (DE), diaphragm-RSBI (D-RSBI), and lung ultrasound (LUS) patterns—with [...] Read more.
Background: This study analyzed weaning characteristics and assessed the association of clinical and ultrasonographic indices—maximum inspiratory pressure (MIP), rapid shallow breathing index (RSBI), peak flow expiratory (PFE), diaphragm-thickening fraction (DTF), diaphragm thickness (DT), diaphragm excursion (DE), diaphragm-RSBI (D-RSBI), and lung ultrasound (LUS) patterns—with weaning failure. Methods: This retrospective cohort study included critically ill COVID-19 patients aged 18 and older who had been on invasive mechanical ventilation for at least 48 h and undergoing weaning. Exclusion criteria included absence of ultrasound assessments, neuromuscular diseases, and chronic cardio-respiratory dysfunction. Results: Among 61 patients, 44.3% experienced weaning failure, 27.9% failed the spontaneous breathing trial (SBT), 16.4% were re-intubated within 48 h, and 28% required tracheostomy. Weaning failure was associated with prolonged ventilation (29 vs. 7 days, p < 0.001), extended oxygen therapy, longer ICU stays, and higher ICU mortality. These patients had higher pressure support, lower oxygenation levels, a higher RSBI, and a lower MIP. While PEF, DTF, DE, and D-RSBI showed no significant differences, both right and left diaphragm thicknesses and the inspiratory thickness of the left diaphragm were reduced in failure cases. LUS scores were significantly higher before and after SBT in the failure group. Bivariate analysis identified RSBI [OR = 1.04 (95% CI = 1.01–1.07), p = 0.010], MIP [OR = 0.92 (95% CI = 0.86–0.99), p = 0.018], and LUS [OR = 1.15 (95% CI = 0.98–1.35), p = 0.025] as predictors of weaning failure; however, these associations were not confirmed in multivariate analysis. Conclusions: Ultrasound provides supplementary information during weaning, but no definitive association between ultrasound indices and weaning failure was confirmed in this study. Full article
(This article belongs to the Special Issue Critical Care Imaging—3rd Edition)
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