Literature DB >> 32746228

Quantitative Lung Ultrasound Spectroscopy Applied to the Diagnosis of Pulmonary Fibrosis: The First Clinical Study.

Federico Mento, Gino Soldati, Renato Prediletto, Marcello Demi, Libertario Demi.   

Abstract

The application of ultrasound imaging to the diagnosis of lung diseases is nowadays receiving growing interest. However, lung ultrasound (LUS) is mainly limited to the analysis of imaging artifacts, such as B-lines, which correlate with a wide variety of diseases. Therefore, the results of LUS investigations remain qualitative and subjective, and specificity is obviously suboptimal. Focusing on the development of a quantitative method dedicated to the lung, in this work, we present the first clinical results obtained with quantitative LUS spectroscopy when applied to the differentiation of pulmonary fibrosis. A previously developed specific multifrequency ultrasound imaging technique was utilized to acquire ultrasound images from 26 selected patients. The multifrequency imaging technique was implemented on the ULtrasound Advanced Open Platform (ULA-OP) platform and an LA533 (Esaote, Florence, Italy) linear-array probe was utilized. RF data obtained at different imaging frequencies (3, 4, 5, and 6 MHz) were acquired and processed in order to characterize B-lines based on their frequency content. In particular, B-line native frequencies (the frequency at which a B-line exhibits the highest intensity) and bandwidth (the range of frequencies over which a B-line shows intensities within -6 dB from its highest intensity), as well as B-line intensity, were analyzed. The results show how the analysis of these features allows (in this group of patients) the differentiation of fibrosis with a sensitivity and specificity equal to 92% and 92%, respectively. These promising results strongly motivate toward the extension of the clinical study, aiming at analyzing a larger cohort of patients and including a broader range of pathologies.

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Year:  2020        PMID: 32746228     DOI: 10.1109/TUFFC.2020.3012289

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  9 in total

1.  Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images.

Authors:  Roshan Roshankhah; Yasamin Karbalaeisadegh; Hastings Greer; Federico Mento; Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Elena Torri; Tiziano Perrone; Stephen Aylward; Libertario Demi; Marie Muller
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 2.482

2.  Lung mass density prediction using machine learning based on ultrasound surface wave elastography and pulmonary function testing.

Authors:  Boran Zhou; Brian J Bartholmai; Sanjay Kalra; Thomas Osborn; Xiaoming Zhang
Journal:  J Acoust Soc Am       Date:  2021-02       Impact factor: 1.840

3.  Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.

Authors:  Jiangang Chen; Chao He; Jintao Yin; Jiawei Li; Xiaoqian Duan; Yucheng Cao; Li Sun; Menghan Hu; Wenfang Li; Qingli Li
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 2.725

4.  Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach.

Authors:  Libertario Demi; Federico Mento; Antonio Di Sabatino; Anna Fiengo; Umberto Sabatini; Veronica Narvena Macioce; Marco Robol; Francesco Tursi; Carmelo Sofia; Chiara Di Cienzo; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone
Journal:  J Ultrasound Med       Date:  2021-12-03       Impact factor: 2.754

Review 5.  The Mechanisms Underlying Vertical Artifacts in Lung Ultrasound and Their Proper Utilization for the Evaluation of Cardiogenic Pulmonary Edema.

Authors:  Toru Kameda; Naohisa Kamiyama; Nobuyuki Taniguchi
Journal:  Diagnostics (Basel)       Date:  2022-01-20

6.  Prognostic Role of Lung Ultrasound in Children with Bronchiolitis: Multicentric Prospective Study.

Authors:  Laura Gori; Antonella Amendolea; Danilo Buonsenso; Stefano Salvadori; Maria Chiara Supino; Anna Maria Musolino; Paolo Adamoli; Alfina Domenica Coco; Gian Luca Trobia; Carlotta Biagi; Marco Lucherini; Alberto Leonardi; Giuseppe Limoli; Matteo Giampietri; Tiziana Virginia Sciacca; Rosa Morello; Francesco Tursi; Gino Soldati
Journal:  J Clin Med       Date:  2022-07-21       Impact factor: 4.964

Review 7.  State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.

Authors:  Federico Mento; Umair Khan; Francesco Faita; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone; Libertario Demi
Journal:  Ultrasound Med Biol       Date:  2022-09-22       Impact factor: 3.694

8.  The effect of attenuation inside the acoustic traps on the configuration of vertical artifacts in lung ultrasound: an experimental study with simple models.

Authors:  Toru Kameda; Naohisa Kamiyama; Nobuyuki Taniguchi
Journal:  J Med Ultrason (2001)       Date:  2022-08-05       Impact factor: 1.878

9.  Lung Ultrasound Patterns in Multisystem Inflammatory Syndrome in Children (MIS-C)-Characteristics and Prognostic Value.

Authors:  Anna Camporesi; Marco Gemma; Danilo Buonsenso; Stefania Ferrario; Anna Mandelli; Matteo Pessina; Veronica Diotto; Elena Rota; Irene Raso; Laura Fiori; Alessandro Campari; Francesca Izzo
Journal:  Children (Basel)       Date:  2022-06-21
  9 in total

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