Speckle tracking technology for quantifying lung sliding

被引:5
|
作者
Dori, Guy [1 ,2 ]
Jakobson, Daniel J. [3 ,4 ]
机构
[1] HaEmek Med Ctr, Dept Internal Med E, Afula, Israel
[2] Technion Israel Inst Technol, Fac Med, Haifa, Israel
[3] Barzilai Govt Hosp, Intens Care Unit, Ashqelon, Israel
[4] Ben Gurion Univ Negev, Fac Hlth Sci, IL-84105 Beer Sheva, Israel
关键词
Lung sliding; Lung ultrasound; Speckle tracking; SYSTEMIC-SCLEROSIS; ULTRASOUND; DISEASE; ECHOCARDIOGRAPHY; PNEUMOTHORAX;
D O I
10.1016/j.mehy.2016.04.019
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Ultrasound (US) is gaining recognition as a useful tool for assessing lung physiology and pathology. Yet, currently the skill of performing lung US is taught by experienced operators to novice ones, mainly by recognizing expected patterns. Recognizing the latter may be difficult and subjective. In this hypothesis we propose to apply a well-known and used image processing technology in echocardiography, speckle tracking (ST), to lung sliding the marker of normal lung function. If implementing ST to lung sliding is technically feasible, several outcomes are expected: (1) Lung sliding will become an objective, operator independent marker of normal lung function. (2) Subsequently, ST will provide normal values for lung sliding. (3) Lastly, the effects of pulmonary pathologies on lung sliding may be assessed. It is stressed, however, that the preliminary idea suggested here is limited to a single physiological phenomenon (lung sliding). Only when technical feasibility is demonstrated then ST technology may potentially be applied and investigated in other clinical settings of lung diseases. (C) 2016 Published by Elsevier Ltd.
引用
收藏
页码:81 / 83
页数:3
相关论文
共 50 条
  • [1] Pleural lung sliding quantification using a speckle tracking technology: A feasibility study on 30 healthy volunteers
    Duclos, Gary
    Marecal, Ludivine
    Resseguier, Noemie
    Postzich, Martin
    Taguet, Chloe
    Hraiech, Sami
    Leone, Marc
    Mueller, Laurent
    Zieleskiewicz, Laurent
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 254
  • [2] Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study
    Duclos, Gary
    Bobbia, Xavier
    Markarian, Thibaut
    Muller, Laurent
    Cheyssac, Camille
    Castillon, Sarah
    Resseguier, Noemie
    Boussuges, Alain
    Volpicelli, Giovanni
    Leone, Marc
    Zieleskiewicz, Laurent
    INTENSIVE CARE MEDICINE, 2019, 45 (09) : 1212 - 1218
  • [3] Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study
    Gary Duclos
    Xavier Bobbia
    Thibaut Markarian
    Laurent Muller
    Camille Cheyssac
    Sarah Castillon
    Noémie Resseguier
    Alain Boussuges
    Giovanni Volpicelli
    Marc Leone
    Laurent Zieleskiewicz
    Intensive Care Medicine, 2019, 45 : 1212 - 1218
  • [4] A picture's worth a thousand words: speckle tracking for quantification and assessment of lung sliding
    Duclos, Gary
    Muller, Laurent
    Leone, Marc
    Zieleskiewicz, Laurent
    INTENSIVE CARE MEDICINE, 2019, 45 (01) : 101 - 102
  • [5] A picture’s worth a thousand words: speckle tracking for quantification and assessment of lung sliding
    Gary Duclos
    Laurent Muller
    Marc Leone
    Laurent Zieleskiewicz
    Intensive Care Medicine, 2019, 45 : 101 - 102
  • [6] Pneumothorax diagnosis with lung sliding quantification by speckle tracking: A prospective multicentric observational study
    Fissore, Estelle
    Zieleskiewicz, Laurent
    Markarian, Thibaut
    Muller, Laurent
    Duclos, Gary
    Bourgoin, Mathias
    Michelet, Pierre
    Leone, Marc
    Claret, Pierre-Geraud
    Bobbia, Xavier
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2021, 49 : 14 - 17
  • [7] Validation of speckle tracking analysis for assessing fascia sliding mobility
    Van Amstel, Robbert
    Brandl, Andreas
    Weide, Guido
    Bartsch, Katja
    Jaspers, Richard
    Pool-Goudzwaard, Annelies
    Schleip, Robert
    JOURNAL OF BIOMECHANICS, 2025, 182
  • [8] Reliability of ultrasound speckle tracking with singular value decomposition for quantifying displacement in the carpal tunnel
    Schrier, Verena J. M. M.
    Evers, Stefanie
    Bosch, Johan G.
    Selles, Ruud W.
    Amadio, Peter C.
    JOURNAL OF BIOMECHANICS, 2019, 85 : 141 - 147
  • [9] A Novel Speckle-Tracking Based Method for Quantifying Tricuspid Annular Velocities in TEE
    Mauermann, Eckhard
    Vandenheuvel, Michael
    Francois, Katrien
    Bouchez, Stefaan
    Wouters, Patrick
    JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2019, 33 (10) : 2636 - 2644
  • [10] Speckle tracking approaches in speckle sensing
    Charrett, Thomas O. H.
    Kotowski, Krzysztof
    Tatam, Ralph P.
    OPTICAL SENSORS 2017, 2017, 10231