Ultrasound and interstitial lung disease: use and limitations

Frongillo, Elisabettamaria; Gaudioso, Giulia; Feragalli, Beatrice

doi:10.1007/s11547-019-01084-y

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…B-lines can resolve rapidly in response to treatment, and, therefore, LUS data must be interpreted in the context of previous interventions [33,34]. B-lines can be seen in several of pulmonary conditions, including pulmonary fibrosis or interstitial lung disease, ARDS, trauma, asthma, and pneumonitis (Table 3) [31,32,[35][36][37][38][39]. However, the coexistence of diffuse B-lines echo-pattern with the presence of heterogeneous lung echo-texture, irregular thickened pleura and presence of scattered "shred sign" could help in diagnosing multifocal pneumonia complicated by ARDS on the related severe degree of hypoxemia, but the ultrasound findings for a consolidation are not specific and must necessarily be correlated with the clinical history, as in the case of aspiration pneumonia (Fig.…”

Section: Variability Interpretation Of the Data And Confusing Findingsmentioning

confidence: 99%

The lung ultrasound: facts or artifacts? In the era of COVID-19 outbreak

et al. 2020

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Ultrasound is the most disruptive innovation in intensive care life, above all in this time, with a high diagnostic value when applied appropriately. In recent years, point-of-care lung ultrasound has gained significant popularity as a diagnostic tool in the acutely dyspnoeic patients. In the era of Sars-CoV-2 outbreak, lung ultrasound seems to be strongly adapting to the follow-up for lung involvement of patients with ascertaining infections, till to be used, in our opinion emblematically, as a screening test in suspected patients at the emergency triage or at home medical visit. In this brief review, we discuss the lung ultrasound dichotomy, certainties and uncertainties, describing its potential role in validated clinical contexts, as a clinicaldependent exam, its limits and pitfalls in a generic and off-label clinical context, as a virtual anatomical-dependent exam, and its effects on the clinical management of patients with COVID-19. Keywords Lung ultrasound • Point of care ultrasound • Dyspnoea • COVID-19 • Sars-CoV-2 Abbreviations ARDS Acute respiratory distress syndrome BLUE Bedside lung ultrasonography in emergency CAUSE Cardiac arrest ultrasound exam CHP Chronic hypersensitivity pneumonia COPD Chronic obstructive pulmonary disease CT Computed tomography CXR Chest X-ray COVID-19 Coronavirus disease 19 ECMO Extra-corporeal membrane oxygenation EVD Ebola virus disease FALLS Fluid administration limited by lung sonography LUS

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Section: Variability Interpretation Of the Data And Confusing Findingsmentioning

confidence: 99%

The lung ultrasound: facts or artifacts? In the era of COVID-19 outbreak

et al. 2020

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“…Non-cardiac CT is still a powerful imaging tool in detecting lung injury in several diseases and, recently, CT was highly impactful during the worldwide pandemic [ 47 , 83 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 ].…”

Section: Cmr and Ccta Imagingmentioning

confidence: 99%

Heart Failure and Cardiomyopathies: CT and MR from Basics to Advanced Imaging

Palumbo

Cannizzaro²,

Palumbo

et al. 2022

Diagnostics

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Since 1997, heart failure (HF) has been designated as a new epidemic. However, it is not easy to find a proper definition since different descriptors are used in clinical practice. Moreover, HF is not a single clinical entity, and there is a close relationship between HF and all cardiomyopathies (CMs). This leads us to also consider accuracy in the characterization of CMs, which is essential to define the therapeutic process of HF patients. This narrative review aims to describe the main mechanisms leading to HF in different CMs, as well as the current diagnostic and prognostic advantages deriving from advanced imaging in the cardiac field.

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“…In fact, resection may be technically challenging, particularly in patients with FAP. So, surgery has lost its traditional role as a first-line treatment of the disease, and several other treatment methods are being considered [ 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ]. In fact, for asymptomatic patients, close observation by serial imaging should be initiated with an interval of 3 to 6 months, given the variable nature of DTs, including the possibility of spontaneous regression.…”

Section: Clinical Presentation and Treatmentmentioning

confidence: 99%

Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Teams

Simonetti

Bruno

Fusco

et al. 2022

JPM

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Desmoid tumors (DTs), also known as desmoid fibromatosis or aggressive fibromatosis, are rare, locally invasive, non-metastatic soft tissue tumors. Although histological results represent the gold standard diagnosis, imaging represents the fundamental tool for the diagnosis of these tumors. Although histological analysis represents the gold standard for diagnosis, imaging represents the fundamental tool for the diagnosis of these tumors. DTs represent a challenge for the radiologist, being able to mimic different pathological conditions. A proper diagnosis is required to establish an adequate therapeutic approach. Multimodality imaging, including ultrasound (US), computed tomography (CT) and Magnetic Resonance Imaging (MRI), should be preferred. Different imaging techniques can also guide minimally invasive treatments and monitor their effectiveness. The purpose of this review is to describe the state-of-the-art multidisciplinary imaging of DTs; and its role in patient management.

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Ultrasound and interstitial lung disease: use and limitations

Cited by 7 publications

References 5 publications

The lung ultrasound: facts or artifacts? In the era of COVID-19 outbreak

The lung ultrasound: facts or artifacts? In the era of COVID-19 outbreak

Heart Failure and Cardiomyopathies: CT and MR from Basics to Advanced Imaging

Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Teams

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