IP Library Granted Patent US 12,465,331
Granted Patent B2
US 12,465,331 · App. 18/571,811 · Granted Nov 11, 2025

Methods and systems for ventilation management using lung ultrasound

Inventors: Jochen Kruecker (Andover, MA); Seyedali Sadeghi (Melrose, MA); Shyam Bharat (Arlington, MA); Claudia Errico (Medford, MA); Samer Bou Jawde (Boston, MA); Roberto Buizza (Malden, MA); Balasundar Iyyavu Raju (North Andover, MA); Sven Peter Prevrhal (Hamburg, DE)
Assignee: KONINKLIJKE PHILIPS N.V.
A61B8/5223A61B8/08A61B8/463G16H50/30
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Quick Facts
Patent No.
US 12,465,331
App. No.
18/571,811
Granted
Nov 11, 2025
Kind
B2
Abstract

A lung injury monitoring system ( 200 ) configured to monitor a patient's lungs during ventilation, comprising: an ultrasound device ( 280 ) configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient; a processor ( 220 ) configured to: (i) receive the obtained ultrasound image; (ii) determine a ventilation phase of the ventilator; (iii) analyze the received ultrasound image; and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI); and a user interface ( 240 ) configured to display the determined risk score for the potential VALI.

Claims (48)

1 . A lung injury monitoring system configured to monitor a patient's lungs during ventilation, comprising:

an ultrasound device configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient;

a processor configured to: (i) receive the obtained ultrasound image; (ii) determine a ventilation phase of the ventilator; (iii) analyze the received ultrasound image; and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI); and

a user interface configured to display the risk score of the potential VALI.

2 . The system of claim 1 , wherein analyzing comprises:

labeling the received ultrasound image as an inspiratory or expiratory image based on the determined ventilation phase of the ventilator;

determining a number of B-lines in the labeled received ultrasound image, wherein the determined number of B-lines in the labeled received ultrasound image comprises a maximum and/or average number of B-lines;

receiving an updated ultrasound image in the other of an inspiratory or expiratory ventilation phase of the ventilator, and labeling the updated ultrasound image as the other of the inspiratory and expiratory ventilation phase of the ventilator;

determining a number of B-lines in the updated ultrasound image, wherein the determined number of B-lines in the updated ultrasound image comprises a maximum and/or average number of B-lines; and

comparing the number of determined B-lines in the labeled received ultrasound image to the number of determined B-lines in the updated ultrasound image to identify a ratio of maximum and/or average number of B-lines in an inspiratory ventilation stage relative to an expiratory ventilation stage, wherein the ratio is a metric indicative of VALI.

3 . The system of claim 2 , wherein the identified ratio is indicative of a potential VALI if the identified ratio is above a predetermined threshold, and wherein the identified ratio is indicative of a healthy lung if the identified ratio is below a predetermined threshold.

4 . The system of claim 1 , wherein analyzing comprises:

determining, from the determined ventilation phase of the ventilator, that full expiration of the patient's lungs has been reached;

identifying a pleural line in a received ultrasound image after full expiration of the patient's lungs has been reached;

identifying, if a pleural line is identified, a parietal pleura (R p ) and a visceral pleura (R v ) in the received ultrasound image;

receiving, from the ultrasound device, an updated ultrasound image;

identifying a pleural line in the updated ultrasound image and identifying a parietal pleura (R p ) and a visceral pleura (R v ) in the updated ultrasound image;

determining, by comparing the parietal pleura and visceral pleura in the received ultrasound image and updated ultrasound image, a parietal displacement vector (d p ) and a visceral displacement vector (d v );

determining a relative displacement (d i ) by subtracting d p from d v ;

calculating, from d i , a metric indicative of VALI.

5 . The system of claim 4 , wherein calculating comprises determining a quantitative lung sliding parameter such as amplitude, velocity, or phase lag of displacement.

6 . The system of claim 1 , wherein the VALI is atelectotrauma and/or overdistension.

7 . The system of claim 1 , wherein the user interface is further configured to display one or more of monitoring or demographic information about the patient.

8 . A method for monitoring a patient's lungs during ventilation using a lung injury monitoring system, comprising:

receiving, from an ultrasound device of the lung injury monitoring system, an ultrasound image of the patient's lungs during ventilation of the patient by a ventilator of the lung injury monitoring system;

determine, by a processor of the lung injury monitoring system, a ventilation phase of the ventilator;

analyze, using the processor of the lung injury monitoring system, the received ultrasound image; and

determine, based on the analysis, a risk score for a potential ventilator-associated lung injury (VALI).

9 . The method of claim 8 , wherein analyzing the received ultrasound image comprises:

labeling the received ultrasound image as an inspiratory or expiratory image based on the determined ventilation phase of the ventilator;

determining a number of B-lines in the labeled received ultrasound image, wherein the determined number of B-lines in the labeled received ultrasound image comprises a maximum and/or average number of B-lines;

receiving an updated ultrasound image in the other of an inspiratory or expiratory ventilation phase of the ventilator, and labeling the updated ultrasound image as the other of the inspiratory and expiratory ventilation phase of the ventilator;

determining a number of B-lines in the updated ultrasound image, wherein the determined number of B-lines in the updated ultrasound image comprises a maximum and/or average number of B-lines; and

comparing the number of determined B-lines in the labeled received ultrasound image to the number of determined B-lines in the updated ultrasound image to identify a ratio of maximum and/or average number of B-lines in an inspiratory ventilation stage relative to an expiratory ventilation stage, wherein the ratio is a metric indicative of VALI.

10 . The method of claim 9 , wherein the identified ratio is indicative of a potential VALI if the identified ratio is above a predetermined threshold, and wherein the identified ratio is indicative of a healthy lung if the identified ratio is below a predetermined threshold.

11 . The method of claim 8 , wherein analyzing the received ultrasound image comprises:

determining, from the determined ventilation phase of the ventilator, that full expiration of the patient's lungs has been reached;

identifying a pleural line in a received ultrasound image after full expiration of the patient's lungs has been reached;

identifying, if a pleural line is identified, a parietal pleura (R p ) and a visceral pleura (R v ) in the received ultrasound image;

receiving, from the ultrasound device, an updated ultrasound image;

identifying a pleural line in the updated ultrasound image and identifying a parietal pleura (R p ) and a visceral pleura (R v ) in the updated ultrasound image;

determining, by comparing the parietal pleura and visceral pleura in the received ultrasound image and updated ultrasound image, a parietal displacement vector (d p ) and a visceral displacement vector (d v );

determining a relative displacement (d i ) by subtracting d p from d v ;

calculating, from d i , a metric indicative of VALI.

12 . The method of claim 11 , wherein calculating comprises determining a quantitative lung sliding parameter such as amplitude, velocity, or phase lag of displacement.

13 . The method of claim 8 , wherein the VALI is atelectotrauma and/or overdistension.

14 . The method of claim 8 , further comprising displaying, via a user interface of the lung injury monitoring system, the risk score of the potential VALI.

15 . The method of claim 14 , further comprising displaying via a user interface of the lung injury monitoring system, one or more of monitoring or demographic information about the patient.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 19, 2023
From: KRUECKER, JOCHEN; SADEGHI, SEYEDALI; BHARAT, SHYAM; ERRICO, CLAUDIA; JAWDE, SAMER BOU; BUIZZA, ROBERTO; RAJU, BALASUNDAR IYYAVU; PREVRHAL, SVEN PETER
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 065907/0023 →
Continuity (2)
Provisional Application 63213935 · Jun 23, 2021
Related Publication 20240285259A1 · Aug 29, 2024
References Cited (19)
US 7774055B1 · Min · 2010 [cited by examiner]
US 20140236035A1 · Milne et al. · 2014 [cited by applicant]
US 20140366874A1 · Deutsch · 2014 [cited by examiner]
US 20150150503A1 · Pamnani et al. · 2015 [cited by applicant]
US 20180286518A1 · Raju · 2018 [cited by examiner]
US 20200360690A1 · Evans · 2020 [cited by examiner]
US 20210015453A1 · Toporek · 2021 [cited by examiner]
WO 2008073560A2 · 2008 [cited by applicant]
WO 2022144177A2 · 2022 [cited by applicant]
International Search Report and Written Opinion for PCT/EP2022/066802; Mailing date: Sep. 15, 2022, 9 pages. [cited by applicant]
Jambrik, Z. et al., “B-Lines Quantify the Lung Water Content: A Lung Ultrasound Versus Lung Gravimetry Study in Acute Lung Injury”, Ultrasound in Medicine & Biology, 2010, vol. 36, Issue 12, pp. 2004-2010. [cited by applicant]
Vetrugno, L. et al., “Mechanical ventilation weaning issues can be counted on the fingers of just one hand: part 2”, Ultrasound J, 2020, vol. 12:15, 8 pages. [cited by applicant]
Bouhemad, B. et al., “Ultrasound for “Lung Monitoring” of Ventilated Patients”, Anesthesiology, 2015, vol. 122, No. 2, 11 pages. [cited by applicant]
Conway, H. et al., “Personalizing Invasive Mechanical Ventilation Strategies in Coronavirus Disease 2019 (COVID-19) Associated Lung Injury: The Utility of Lung Ultrasound”, Journal of Cardiothoracic and Vascular Anesthe… [cited by applicant]
Lim, S.Y. et al., “Effects of Ultralow-Tidal-Volume Ventilation under Veno-Venous Extracorporeal Membrane Oxygenation in a Porcine Model with Ventilator-Induced Lung Injury”, Membranes 2020, vol. 10, 12 pages. [cited by applicant]
Gammon, R.B. et al., “Pulmonary Barotrauma in Mechanical Ventilation. Patterns and risk factors”, Chest, 1992, vol. 102, Issue 2, pp. 568-572. [cited by applicant]
Brogi, E. et al., “Thoracic ultrasound for pleural effusion in the intensive care unit: a narrative review from diagnosis to treatment”, Critical Care, 2017, vol. 21:325, 11 pages. [cited by applicant]
Lee, F.C.Y., “Lung ultrasound—a primary survey of the acutely dyspneic patient”, Journal of Intensive Care, 2016, vol. 4:57, 13 pages. [cited by applicant]
Mojoli, F. et al., “Lung Ultrasound for Critically Ill Patients”, Am J Respir Crit Care Med, 2019, vol. 199, Issue 6, pp. 701-714. [cited by applicant]