Extrapolation from ten sections can make CT-based quantification of lung aeration more practicable

Reske, Andreas W.; Reske, Andreas; Gast, H. A.; Seiwerts, Matthias; Beda, Alessandro; Gottschaldt, Udo; Josten, Christoph; Schreiter, D.; Heller, N.; Wrigge, Hermann; Amato, Marcelo B. P.

doi:10.1007/s00134-010-2014-2

Cited by 55 publications

(66 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, we may speculate that, at the same effective dose of one scan performed at 140 mAs, approximately two scans at 60 mAs or ten scans at 15 mAs could be performed (Table 4). Moreover, it is worth mentioning that the use of low-dose CT could be coupled with the simplified analysis method, based on the extrapolation of wholelung results from ten CT scan slices [37,38]. This method, besides shortening the time needed to perform qCT, would allow a further reduction of radiation dose.…”

Section: Discussionmentioning

confidence: 99%

Low-dose CT for quantitative analysis in acute respiratory distress syndrome

Vecchi¹,

Langer²,

Bellomi³

et al. 2013

View full text Add to dashboard Cite

Introduction: The clinical use of serial quantitative computed tomography (CT) to characterize lung disease and guide the optimization of mechanical ventilation in patients with acute respiratory distress syndrome (ARDS) is limited by the risk of cumulative radiation exposure and by the difficulties and risks related to transferring patients to the CT room. We evaluated the effects of tube current-time product (mAs) variations on quantitative results in healthy lungs and in experimental ARDS in order to support the use of low-dose CT for quantitative analysis. Methods: In 14 sheep chest CT was performed at baseline and after the induction of ARDS via intravenous oleic acid injection. For each CT session, two consecutive scans were obtained applying two different mAs: 60 mAs was paired with 140, 15 or 7.5 mAs. All other CT parameters were kept unaltered (tube voltage 120 kVp, collimation 32 × 0.5 mm, pitch 0.85, matrix 512 × 512, pixel size 0.625 × 0.625 mm). Quantitative results obtained at different mAs were compared via Bland-Altman analysis.

show abstract

Section: Discussionmentioning

confidence: 99%

Low-dose CT for quantitative analysis in acute respiratory distress syndrome

Vecchi¹,

Langer²,

Bellomi³

et al. 2013

View full text Add to dashboard Cite

show abstract

“…For the purpose to reduce the workload to estimate lung aeration two methods have been proposed: extrapolation of a sub-set of ten slices from a whole-chest CT scan (25), and visual instead of computer-based image assessment (21). Concerning dose exposure reduction, lowdose spiral CT protocols with a reduced tube current have been tested (26), while more recently a protocol tried to combine low current tube with prospective acquisition of a reduced number of thin slices (27).…”

Section: Experimental Ct Acquisition Protocolsmentioning

confidence: 99%

Lung imaging: how to get better look inside the lung

Ball¹,

Vercesi²,

Costantino³

et al. 2017

Ann. Transl. Med.

View full text Add to dashboard Cite

In the last years, imaging has played a key role in the diagnosis and monitoring and critical illness, including acute respiratory distress syndrome (ARDS). Chest X-ray (CXR) and computed tomography (CT) are the conventional techniques most performed in the critically ill patients, the latter being the gold standard to assess lung aeration in ARDS patients. In addition, two bedside techniques are now gaining popularity alongside the conventional ones: lung ultrasound (LUS) and electrical impedance tomography (EIT). These techniques do not involve the use of ionizing radiations, are non-invasive and relatively easy to use, and are under extensive investigation as a complement, and for some application a substitution of conventional techniques. At last, positron emission tomography (PET) and magnetic resonance imaging (MRI) can provide functional information on the lung and respiratory function, and are increasingly used in research to improve the understanding of the pathophysiological mechanisms underlying ARDS. The purpose of this review is to give an up-to-date overview of the conventional and emerging imaging techniques available the diagnosis and management of patients with ARDS.

show abstract

“…However, this analysis requires dedicated software and a manual delineation of the perimeter of the lungs in each CT image [10]. Thus, up to 6 h is often required to complete lung CT scan computation [12]. Consequently, because of the time required, quantitative lung CT scan analysis remains only a research tool.…”

Section: Introductionmentioning

confidence: 99%

Visual anatomical lung CT scan assessment of lung recruitability

et al. 2012

View full text Add to dashboard Cite

Purpose: The computation of lung recruitability in acute respiratory distress syndrome (ARDS) is advocated to set positive end-expiratory pressure (PEEP) for preventing lung collapse. The quantitative lung CT scan, obtained by manual image processing, is the reference method but it is time consuming. The aim of this study was to evaluate the accuracy of a visual anatomical analysis compared with a quantitative lung CT scan analysis in assessing lung recruitability. Methods: Fifty sets of two complete lung CT scans of ALI/ARDS patients computing lung recruitment were analyzed. Lung recruitability computed at an airway pressure of 5 and 45 cmH 2 O was defined as the percentage decrease in the collapsed/ consolidated lung parenchyma assessed by two expert radiologists using a visual anatomical analysis and as the decrease in not aerated lung regions using a quantitative analysis computed by dedicated software.Results: Lung recruitability was 11.3 % (interquartile range 7.39-16.41) and 15.5 % (interquartile range 8.18-21.43) with the visual anatomical and quantitative analysis, respectively. In the Bland-Altman analysis, the bias and agreement bands between the visual anatomical and quantitative analysis were -2.9 % (-11.8 to ?5.9 %). The ROC curve showed that the optimal cutoff values for the visual anatomical analysis in predicting high versus low lung recruitability was 8.9 % (area under the ROC curve 0.9248, 95 % CI 0.8550-0.9946). Considering this cutoff, the sensitivity, specificity, and diagnostic accuracy were 0.96, 0.76, and 0.86, respectively. Conclusions: Visual anatomical analysis can classify patients into those with high and low lung recruitability allowing more intensivists to get access to lung recruitability assessment.

show abstract

Extrapolation from ten sections can make CT-based quantification of lung aeration more practicable

Abstract: The extrapolation method can reduce radiation exposure and shorten the time required for qCT analysis of lung aeration.

Cited by 55 publications

References 45 publications

Low-dose CT for quantitative analysis in acute respiratory distress syndrome

Low-dose CT for quantitative analysis in acute respiratory distress syndrome

Lung imaging: how to get better look inside the lung

Visual anatomical lung CT scan assessment of lung recruitability

Contact Info

Product

Resources

About