Regional left-ventricular diastolic wall motion assessed by a new program for ECG-gated myocardial perfusion SPECT in early-stage heart failure

Yamamoto, Akira; Takahashi, Naoto; Abe, Kazuya; Kobayashi, Yuko; Tamai, Jin; Munakata, Kazuo

doi:10.1016/j.nuclcard.2008.02.012

Cited by 4 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the most sensitive indicators of myocardial diastolic dysfunction is early diastolic relaxation [38], but current commercial tools for echocardiographic analysis do not usually provide any means for measuring it on strain curves. Using machine learning, therefore, we applied the concept of the "first-third filling fraction" [22][23][24] but we found that in our study it did not perform better when used as a single index in identifying subjects with HFpEF.…”

Section: Choice Of Parametermentioning

confidence: 65%

See 1 more Smart Citation

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

Tabassian

Sunderji

Erdei

et al. 2018

Journal of the American Society of Echocardiography

View full text Add to dashboard Cite

show abstract

Section: Choice Of Parametermentioning

confidence: 65%

“…• for strain, (1) amplitude at end-systole, (2) when present, postsystolic deformation, and (3) the amplitude of diastolic strain at the end of the first third of the duration of diastole [22][23][24]; and…”

Section: Diagnostic Comparisonsmentioning

confidence: 99%

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

Tabassian

Sunderji

Erdei

et al. 2018

Journal of the American Society of Echocardiography

View full text Add to dashboard Cite

show abstract

“…DD is present if more than half of the available recommended parameters meet their cut-off values including septal e ′ <7 cm/s, lateral e ′ <10 cm/s, average E/e ′ ratio >14, left atrial volume index >34 ml/m 2 , and peak tricuspid regurgitation velocity >2.8 m/s. Previous studies demonstrated the feasibility to quantitate the diastolic function parameters with SPECT, and the thresholds for abnormal PFR and abnormal TTPF were 1.7 EDV/s and 208 ms, respectively (18,23). Compared with conventional SPECT, D-SPECT with dedicated cardiac CZT cameras has more favorable sensitivity, specificity, and accuracy with a low-dose and ultra-fast protocol (13)(14)(15).…”

Section: Discussionmentioning

confidence: 97%

Prognostic Value of Diastolic Dysfunction Derived From D-SPECT in Coronary Artery Disease Patients With Normal Ejection Fraction

Liu

Abdu

et al. 2021

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

Diastolic dysfunction (DD) with normal systolic function has been elucidated to be associated with heart failure and worse prognosis. The recently introduced single photon emission computed tomography (SPECT) with dedicated cardiac cadmium-zinc-telluride (CZT) cameras (D-SPECT) is a novel method to quantitate left ventricular functional parameters. We aimed to evaluate the prognostic value of DD derived from D-SPECT in coronary artery disease (CAD) patients with normal ejection fraction. All CAD patients who underwent D-SPECT and invasive coronary angiography within 3 months were considered. DD was defined as peak filling rate (PFR) <2.1 end diastolic volume (EDV, ml)/s according to the D-SPECT results. Patients were divided into three groups: group 1 (n = 226)—normal PFR; group 2 (n = 67)—ischemia-related DD (abnormal stress PFR and normal rest PFR); and group 3 (n = 106)—rest DD (abnormal rest PFR). The primary clinical endpoint of the present study was a composite of heart failure events (HFE). A total of 399 consecutive CAD patients with normal systolic function undergoing stress D-SPECT were analyzed. The incidence rates of HFE among the three groups were 4.0, 7.5, and 11.3%, respectively. Cox regression analysis showed that the multivariate predictors of HFE were rest PFR, diabetes mellitus, obesity, and old age. DD derived from D-SPECT in CAD patients with normal ejection fraction is predictive of HFE.

show abstract

“…Agreement between SPECT and MRI in both PFR and time to PFR has been demonstrated when 32-frame gating is used for SPECT (48). Global time to PFR was shown to be less sensitive than regional parameters (49). Assessment of global diastolic function is not yet widely used, and the clinical value of MPI-derived diastolic function requires further evaluation.…”

Section: Global LV Functionmentioning

confidence: 99%

Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications

et al. 2019

View full text Add to dashboard Cite

Learning Objectives: On successful completion of this activity, participants should be able to (1) know the basics of how quantitative parameters of relative left ventricular myocardial perfusion are measured and used clinically to differentiate patients with normal versus abnormal distributions; (2) know the basics of how quantitative parameters of left ventricular myocardial global and regional function is measured and used clinically to differentiate patients with normal versus abnormal function; and (3) describe and know how to use clinically nonperfusion quantitative parameters obtained from perfusion studies to modify the likelihood of the presence and extent of coronary artery disease in patients. Financial Disclosure: Dr. Moody is an employee of Invia. Dr. Slomka receives grants from the National Institutes of Health and Siemens Medical Systems and receives software royalties from Cedars-Sinai. Dr. Germano receives royalties from most nuclear medicine companies. Dr. Ficaro is an employee of Invia. Dr. Garcia receives grants from Syntermed and GE Healthcare and receives royalties from Syntermed. The authors of this article have indicated no other relevant relationships that could be perceived as a real or apparent conflict of interest. CME Credit: SNMMI is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing education for physicians. SNMMI designates each JNM continuing education article for a maximum of 2.0 AMA PRA Category 1 Credits. Physicians should claim only credit commensurate with the extent of their participation in the activity. For CE credit, SAM, and other credit types, participants can access this activity through the SNMMI website (http://www.snmmilearningcenter.org) through November 2022. SPECT myocardial perfusion imaging has attained widespread clinical acceptance as a standard of care for patients with known or suspected coronary artery disease. A significant contribution to this success has been the use of computer techniques to provide objective quantitative assessment in the standardization of the interpretation of these studies. Software platforms have been developed as a pipeline to provide the quantitative algorithms researched, developed and validated to be clinically useful so diagnosticians everywhere can benefit from these tools. The goal of this continuing medical education article (part 1) is to describe the many quantitative tools that are clinically established and, more importantly, how clinicians should use them routinely in interpretation, clinical management, and therapy guidance for patients with coronary artery disease.

show abstract

Regional left-ventricular diastolic wall motion assessed by a new program for ECG-gated myocardial perfusion SPECT in early-stage heart failure

Abstract: Regional diastolic wall motion abnormality was frequently detected even in early-stage heart failure. Grading reflected early diastolic dysfunction.

Cited by 4 publications

References 15 publications

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

Prognostic Value of Diastolic Dysfunction Derived From D-SPECT in Coronary Artery Disease Patients With Normal Ejection Fraction

Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications

Contact Info

Product

Resources

About