Quality Assurance of Segmental Strain Values Provided by Commercial 2-D Speckle Tracking Echocardiography Using in Silico Models: A Report from the EACVI-ASE Strain Standardization Task Force

Røsner, Assami; Alessandrini, Martino; Kjønås, Didrik; Mirea, Oana; Queirós, Sandro; D’hooge, Jan

doi:10.1016/j.ultrasmedbio.2021.07.011

Cited by 3 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The software package EchoPac (GE healthcare, MA, USA) was used to calculate LV volume and strain in the longitudinal, radial, and circumferential direction for each of the 17 segments of the LV defined by the American Heart Association (AHA). 8 , 32 LV pressures of the patients were measured invasively during CRT- implantation, while the pressure for the healthy subjects was set using reported values of healthy LVs synchronized to valve events for each control. Echocardiographic images were used to create 3D tetrahedral meshes of the LV, and rule-based fiber orientation was assigned using the histologically validated algorithm described in Ref.…”

Section: Methodsmentioning

confidence: 99%

Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response

et al. 2022

View full text Add to dashboard Cite

Cardiac resynchronization therapy (CRT) is an effective treatment for a subgroup of heart failure (HF) patients, but more than 30% of those selected do not improve after CRT implantation. Imperfect pre-procedural criteria for patient selection and optimization are the main causes of the high non-response rate. In this study, we evaluated a novel measure for assessing CRT response. We used a computational modeling framework to calculate the regional stress of the left ventricular wall of seven CRT patients and seven healthy controls. The standard deviation of regional wall stress at the time of mitral valve closure (SD_MVC) was used to quantify dyssynchrony and compared between patients and controls and among the patients. The results show that SD_MVC is significantly lower in controls than patients and correlates with long-term response in patients, based on end-diastolic volume reduction. In contrast to our initial hypothesis, patients with lower SD_MVC respond better to therapy. The patient with the highest SD_MVC was the only non-responder in the patient cohort. The distribution of fiber stress at the beginning of the isovolumetric phase seems to correlate with the degree of response and the use of this measurement could potentially improve selection criteria for CRT implantation. Further studies with a larger cohort of patients are needed to validate these results.

show abstract

Section: Methodsmentioning

confidence: 99%

Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response

et al. 2022

View full text Add to dashboard Cite

show abstract

“…A report from the European Association of Cardiovascular Imaging /American Society of Echocardiography strain standardization task force reported that the receiver operating characteristic curves to detect for segmental stretching of GE, Toshiba, and TomTec were 0.95, 0.97 and 0.84, respectively. 4) And finally, as with any software, the accuracy and reliability of strain measurements obtained using vendor-independent software can be influenced by the skill and experience of the user. As a result, clinicians or researchers using the software need to be properly trained and experienced in its use to obtain accurate and reliable results.…”

mentioning

confidence: 99%

Path to Accurate and Universal Strain Measurement: Insights From a Validation Study

Cho

2023

J Cardiovasc Imaging

View full text Add to dashboard Cite

A Dynamic Phantom Model for Research and Quality Control in Cardiac Imaging

Tournoux,

Hodzic,

Pellissier

et al. 2023

Preprint

View full text Add to dashboard Cite

Background. Accurate myocardial function and chamber quantification is of major interest. Lack of standardization between the different vendors, difficulties in performing validation studies and absence of reference systems for calibration have slowed down the expansion of such technologies in clinical practice. The goal of this study was to build a dynamic cardiac phantom to enable in vitro assessment of echo software algorithms. Methods. Using a polyvinyl alcoholic gel, we built a multimodality phantom model. Three pneumatic cylinders and a computer-driven control system allowed a 3D deformation capability. Sonomicrometer crystals were positioned on the phantom and used as reference for strain. The transducer tip was successively fixed at the apex of the gel for longitudinal strain assessment. Peaks of strain obtained by echo were then compared to the strain recorded by the sonomicrometers. The phantom was also scanned using an ultrasound machine with 3D capabilities and an MRI machine. MRI-volumes were compared to those obtained by 3D-echo. Results. We were able to apply various levels of longitudinal strain (-5 to -22%), and there was a strong and significant correlation between strain measured by tissue Doppler and sonomicrometers (R2 = 0.91, P = 0.0001) as well as between measurements by speckle tracking and sonomicrometers (R2 = 0.97, P < 0.0001). There was also a significant correlation between the volumes assessed by 3D-echo and MRI (R² = 0.94, P < 0.0001). Conclusion. This cardiac phantom model demonstrates realistic and complex deformation and is a promising tool to improve new echo algorithms, test their accuracy and standardize the measurements between different providers.

show abstract

Quality Assurance of Segmental Strain Values Provided by Commercial 2-D Speckle Tracking Echocardiography Using in Silico Models: A Report from the EACVI-ASE Strain Standardization Task Force

Cited by 3 publications

References 33 publications

Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response

Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response

Path to Accurate and Universal Strain Measurement: Insights From a Validation Study

A Dynamic Phantom Model for Research and Quality Control in Cardiac Imaging

Contact Info

Product

Resources

About