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Article ; Online: 11

Stendahl, John C / Sinusas, Albert J

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

2020 Volume 29, Issue 1, Page(s) 289–292

MeSH term(s)	Acetates/metabolism ; Alcohol Drinking ; Heart/diagnostic imaging ; Humans ; Oxygen Consumption ; Positron-Emission Tomography ; Tomography, X-Ray Computed
Chemical Substances	Acetates
Language	English
Publishing date	2020-07-16
Publishing country	United States
Document type	Editorial
ZDB-ID	1212505-2
ISSN	1532-6551 ; 1071-3581
ISSN (online)	1532-6551
ISSN	1071-3581
DOI	10.1007/s12350-020-02268-0
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Article ; Online: Radiotracers to Address Unmet Clinical Needs in Cardiovascular Imaging, Part 2: Inflammation, Fibrosis, Thrombosis, Calcification, and Amyloidosis Imaging.

Stendahl, John C / Kwan, Jennifer M / Pucar, Darko / Sadeghi, Mehran M

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

2022 Volume 63, Issue 7, Page(s) 986–994

Abstract: Cardiovascular imaging is evolving in response to systemwide trends toward molecular characterization and personalized therapies. The development of new radiotracers for PET and SPECT imaging is central to addressing the numerous unmet diagnostic needs ... ...

Abstract	Cardiovascular imaging is evolving in response to systemwide trends toward molecular characterization and personalized therapies. The development of new radiotracers for PET and SPECT imaging is central to addressing the numerous unmet diagnostic needs that relate to these changes. In this 2-part review, we discuss select radiotracers that may help address key unmet clinical diagnostic needs in cardiovascular medicine. Part 1 examined key technical considerations pertaining to cardiovascular radiotracer development and reviewed emerging radiotracers for perfusion and neuronal imaging. Part 2 covers radiotracers for imaging cardiovascular inflammation, thrombosis, fibrosis, calcification, and amyloidosis. These radiotracers have the potential to address several unmet needs related to the risk stratification of atheroma, detection of thrombi, and the diagnosis, characterization, and risk stratification of cardiomyopathies. In the first section, we discuss radiotracers targeting various aspects of inflammatory responses in pathologies such as myocardial infarction, myocarditis, sarcoidosis, atherosclerosis, and vasculitis. In a subsequent section, we discuss radiotracers for the detection of systemic and device-related thrombi, such as those targeting fibrin (e.g.,
MeSH term(s)	Amyloidosis ; Calcinosis ; Fibrin ; Fibrosis ; Humans ; Inflammation/diagnostic imaging ; Positron-Emission Tomography/methods ; Thrombosis
Chemical Substances	Fibrin (9001-31-4)
Language	English
Publishing date	2022-06-30
Publishing country	United States
Document type	Journal Article
ZDB-ID	80272-4
ISSN	1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
ISSN (online)	1535-5667
ISSN	0097-9058 ; 0161-5505 ; 0022-3123
DOI	10.2967/jnumed.121.263507
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Article ; Online: Radiotracers to Address Unmet Clinical Needs in Cardiovascular Imaging, Part 1: Technical Considerations and Perfusion and Neuronal Imaging.

Stendahl, John C / Kwan, Jennifer M / Pucar, Darko / Sadeghi, Mehran M

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

2022 Volume 63, Issue 5, Page(s) 649–658

Abstract: The development of new radiotracers for PET and SPECT is central to addressing unmet diagnostic needs related to systemwide trends toward molecular characterization and personalized therapies in cardiovascular medicine. In the following 2-part review, we ...

Abstract	The development of new radiotracers for PET and SPECT is central to addressing unmet diagnostic needs related to systemwide trends toward molecular characterization and personalized therapies in cardiovascular medicine. In the following 2-part review, we discuss select emerging radiotracers that may help address important unmet diagnostic needs in central areas of cardiovascular medicine, such as heart failure, arrhythmias, valvular disease, atherosclerosis, and thrombosis. Part 1 examines key technical considerations pertaining to cardiovascular radiotracer development and reviews emerging radiotracers for perfusion and neuronal imaging. Highlights of this work include discussions on the development of
MeSH term(s)	Atherosclerosis ; Humans ; Perfusion ; Positron-Emission Tomography/methods ; Radiopharmaceuticals ; Tomography, Emission-Computed, Single-Photon
Chemical Substances	Radiopharmaceuticals
Language	English
Publishing date	2022-04-29
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
ZDB-ID	80272-4
ISSN	1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
ISSN (online)	1535-5667
ISSN	0097-9058 ; 0161-5505 ; 0022-3123
DOI	10.2967/jnumed.121.263506
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Article ; Online: Long-Term Safety and Efficacy of Mavacamten in Symptomatic Obstructive Hypertrophic Cardiomyopathy: Interim Results of the PIONEER-OLE Study.

Masri, Ahmad / Lester, Steven J / Stendahl, John C / Hegde, Sheila M / Sehnert, Amy J / Balaratnam, Ganesh / Shah, Ashish / Fox, Shawna / Wang, Andrew

Journal of the American Heart Association

2024 Volume 13, Issue 8, Page(s) e030607

Abstract: Background: The phase 2 PIONEER-HCM (Phase 2 Open-label Pilot Study Evaluating Mavacamten in Subjects With Symptomatic Hypertrophic Cardiomyopathy and Left Ventricular Outflow Tract Obstruction) study showed that mavacamten improved left ventricular ... ...

Abstract	Background: The phase 2 PIONEER-HCM (Phase 2 Open-label Pilot Study Evaluating Mavacamten in Subjects With Symptomatic Hypertrophic Cardiomyopathy and Left Ventricular Outflow Tract Obstruction) study showed that mavacamten improved left ventricular outflow tract gradients, exercise capacity, and symptoms in patients with obstructive hypertrophic cardiomyopathy (HCM), but the results of longer-term treatment are less well described. We report interim results from the PIONEER-OLE (PIONEER Open-Label Extension) study, the longest-term study of mavacamten in patients with symptomatic obstructive HCM. Methods and results: Patients who previously completed PIONEER-HCM (n=20) were eligible to enroll in PIONEER-OLE. Patients received oral mavacamten, 5 mg once daily (starting dose), with individualized dose titration at week 6. Evaluations included serial monitoring of safety, echocardiography, Kansas City Cardiomyopathy Questionnaire-Overall Summary Score, and serum NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels. Thirteen patients enrolled and received mavacamten (median study duration at data cutoff, 201 weeks). Most patients (92.3%) received β-blockers concomitantly. Treatment-emergent adverse events were predominantly mild/moderate. One patient had an isolated reduction in left ventricular ejection fraction to 47%, which recovered and remained normal with continued treatment at a reduced dose. At week 180, mavacamten was associated with New York Heart Association class improvements from baseline (class II to I, n=9; class III to II, n=1; and unchanged, n=2), sustained reductions in left ventricular outflow tract gradients (mean [SD] change from baseline: resting, -50 [55] mm Hg; Valsalva, -70 [41] mm Hg), and serum NT-proBNP levels (median [interquartile range] change from baseline: -498 [-2184 to -76] ng/L), and improved Kansas City Cardiomyopathy Questionnaire-Overall Summary Score (mean [SD] change from baseline: +17 [16]). Conclusions: This long-term analysis supports the continued safety and effectiveness of mavacamten for >3 years in obstructive HCM. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03496168.
MeSH term(s)	Humans ; Benzylamines ; Cardiomyopathy, Hypertrophic/diagnosis ; Cardiomyopathy, Hypertrophic/drug therapy ; Cardiomyopathy, Hypertrophic/complications ; Pilot Projects ; Stroke Volume ; Uracil/analogs & derivatives ; Ventricular Function, Left
Chemical Substances	Benzylamines ; MYK-461 ; Uracil (56HH86ZVCT)
Language	English
Publishing date	2024-04-09
Publishing country	England
Document type	Clinical Trial ; Journal Article
ZDB-ID	2653953-6
ISSN	2047-9980 ; 2047-9980
ISSN (online)	2047-9980
ISSN	2047-9980
DOI	10.1161/JAHA.123.030607
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning.

Ta, Kevinminh / Ahn, Shawn S / Stendahl, John C / Langdon, Jonathan / Sinusas, Albert J / Duncan, James S

Statistical atlases and computational models of the heart. STACOM (Workshop)

2022 Volume 13131, Page(s) 123–131

Abstract: Motion estimation and segmentation are both critical steps in identifying and assessing myocardial dysfunction, but are traditionally treated as unique tasks and solved as separate steps. However, many motion estimation techniques rely on accurate ... ...

Abstract	Motion estimation and segmentation are both critical steps in identifying and assessing myocardial dysfunction, but are traditionally treated as unique tasks and solved as separate steps. However, many motion estimation techniques rely on accurate segmentations. It has been demonstrated in the computer vision and medical image analysis literature that both these tasks may be mutually beneficial when solved simultaneously. In this work, we propose a multi-task learning network that can concurrently predict volumetric segmentations of the left ventricle and estimate motion between 3D echocardiographic image pairs. The model exploits complementary latent features between the two tasks using a shared feature encoder with task-specific decoding branches. Anatomically inspired constraints are incorporated to enforce realistic motion patterns. We evaluate our proposed model on an
Language	English
Publishing date	2022-01-14
Publishing country	Germany
Document type	Journal Article
DOI	10.1007/978-3-030-93722-5_14
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Article ; Online: Mycoplasma Pneumoniae Pericarditis.

Vijay, Aishwarya / Stendahl, John C / Rosenfeld, Lynda E

The American journal of cardiology

2019 Volume 123, Issue 8, Page(s) 1383–1384

Abstract: Mycoplasma pneumoniae is an atypical bacterium that is frequently implicated in respiratory infections, but uncommonly identified as a cause of pericarditis. We report 2 cases of pericarditis attributed to M. pneumoniae that were characterized by ... ...

Abstract	Mycoplasma pneumoniae is an atypical bacterium that is frequently implicated in respiratory infections, but uncommonly identified as a cause of pericarditis. We report 2 cases of pericarditis attributed to M. pneumoniae that were characterized by prolonged respiratory prodromes, pericardial, and pleural effusions, elevated inflammatory markers, and relapsing clinical courses. In conclusion, our experience suggests that M. pneumoniae should be considered as a potential cause in cases of pericarditis associated with upper respiratory symptoms, pneumonia, pleural effusions, arthralgia, and/or a recurrent/refractory clinical course. The availability of effective antibiotic treatment makes this an important diagnosis to make.
Language	English
Publishing date	2019-01-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	80014-4
ISSN	1879-1913 ; 0002-9149
ISSN (online)	1879-1913
ISSN	0002-9149
DOI	10.1016/j.amjcard.2019.01.014
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Ui IV Zs.73: Show issues

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Article ; Online: Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography.

Ta, Kevinminh / Ahn, Shawn S / Thorn, Stephanie L / Stendahl, John C / Zhang, Xiaoran / Langdon, Jonathan / Staib, Lawrence H / Sinusas, Albert J / Duncan, James S

IEEE transactions on medical imaging

2024 Volume 43, Issue 5, Page(s) 2010–2020

Abstract: Characterizing left ventricular deformation and strain using 3D+time echocardiography provides useful insights into cardiac function and can be used to detect and localize myocardial injury. To achieve this, it is imperative to obtain accurate motion ... ...

Abstract	Characterizing left ventricular deformation and strain using 3D+time echocardiography provides useful insights into cardiac function and can be used to detect and localize myocardial injury. To achieve this, it is imperative to obtain accurate motion estimates of the left ventricle. In many strain analysis pipelines, this step is often accompanied by a separate segmentation step; however, recent works have shown both tasks to be highly related and can be complementary when optimized jointly. In this work, we present a multi-task learning network that can simultaneously segment the left ventricle and track its motion between multiple time frames. Two task-specific networks are trained using a composite loss function. Cross-stitch units combine the activations of these networks by learning shared representations between the tasks at different levels. We also propose a novel shape-consistency unit that encourages motion propagated segmentations to match directly predicted segmentations. Using a combined synthetic and in-vivo 3D echocardiography dataset, we demonstrate that our proposed model can achieve excellent estimates of left ventricular motion displacement and myocardial segmentation. Additionally, we observe strong correlation of our image-based strain measurements with crystal-based strain measurements as well as good correspondence with SPECT perfusion mappings. Finally, we demonstrate the clinical utility of the segmentation masks in estimating ejection fraction and sphericity indices that correspond well with benchmark measurements.
MeSH term(s)	Humans ; Echocardiography, Three-Dimensional/methods ; Heart Ventricles/diagnostic imaging ; Algorithms ; Machine Learning
Language	English
Publishing date	2024-05-02
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	622531-7
ISSN	1558-254X ; 0278-0062
ISSN (online)	1558-254X
ISSN	0278-0062
DOI	10.1109/TMI.2024.3355383
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Zs.A 2546: Show issues

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Book ; Online: An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images

Zhang, Xiaoran / Stendahl, John C. / Staib, Lawrence / Sinusas, Albert J. / Wong, Alex / Duncan, James S.

2023

Abstract: We propose an adaptive training scheme for unsupervised medical image registration. Existing methods rely on image reconstruction as the primary supervision signal. However, nuisance variables (e.g. noise and covisibility) often cause the loss of ... ...

Abstract	We propose an adaptive training scheme for unsupervised medical image registration. Existing methods rely on image reconstruction as the primary supervision signal. However, nuisance variables (e.g. noise and covisibility) often cause the loss of correspondence between medical images, violating the Lambertian assumption in physical waves (e.g. ultrasound) and consistent imaging acquisition. As the unsupervised learning scheme relies on intensity constancy to establish correspondence between images for reconstruction, this introduces spurious error residuals that are not modeled by the typical training objective. To mitigate this, we propose an adaptive framework that re-weights the error residuals with a correspondence scoring map during training, preventing the parametric displacement estimator from drifting away due to noisy gradients, which leads to performance degradations. To illustrate the versatility and effectiveness of our method, we tested our framework on three representative registration architectures across three medical image datasets along with other baselines. Our proposed adaptive framework consistently outperforms other methods both quantitatively and qualitatively. Paired t-tests show that our improvements are statistically significant. The code will be publicly available at \url{https://voldemort108x.github.io/AdaCS/}.
Keywords	Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-11-30
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: SHAPE-REGULARIZED UNSUPERVISED LEFT VENTRICULAR MOTION NETWORK WITH SEGMENTATION CAPABILITY IN 3D+TIME ECHOCARDIOGRAPHY.

Ta, Kevinminh / Ahn, Shawn S / Stendahl, John C / Sinusas, Albert J / Duncan, James S

Proceedings. IEEE International Symposium on Biomedical Imaging

2021 Volume 2021, Page(s) 536–540

Abstract: Accurate motion estimation and segmentation of the left ventricle from medical images are important tasks for quantitative evaluation of cardiovascular health. Echocardiography offers a cost-efficient and non-invasive modality for examining the heart, ... ...

Abstract	Accurate motion estimation and segmentation of the left ventricle from medical images are important tasks for quantitative evaluation of cardiovascular health. Echocardiography offers a cost-efficient and non-invasive modality for examining the heart, but provides additional challenges for automated analyses due to the low signal-to-noise ratio inherent in ultrasound imaging. In this work, we propose a shape regularized convolutional neural network for estimating dense displacement fields between sequential 3D B-mode echocardiography images with the capability of also predicting left ventricular segmentation masks. Manually traced segmentations are used as a guide to assist in the unsupervised estimation of displacement between a source and a target image while also serving as labels to train the network to additionally predict segmentations. To enforce realistic cardiac motion patterns, a flow incompressibility term is also incorporated to penalize divergence. Our proposed network is evaluated on an
Language	English
Publishing date	2021-05-25
Publishing country	United States
Document type	Journal Article
ISSN	1945-7928
ISSN	1945-7928
DOI	10.1109/isbi48211.2021.9433888
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Article ; Online: Nanoparticles for Cardiovascular Imaging and Therapeutic Delivery, Part 2: Radiolabeled Probes.

Stendahl, John C / Sinusas, Albert J

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

2015 Volume 56, Issue 11, Page(s) 1637–1641

Abstract: Nanoparticulate imaging agents and therapeutics have proven to be valuable tools in preclinical cardiovascular disease research. Because of their distinct properties and significant functional versatility, nanoparticulate imaging agents afford certain ... ...

Abstract	Nanoparticulate imaging agents and therapeutics have proven to be valuable tools in preclinical cardiovascular disease research. Because of their distinct properties and significant functional versatility, nanoparticulate imaging agents afford certain capabilities that are typically not provided by traditional small molecule agents. This review is the second in a two-part series covering nanoparticulate imaging agents and theranostics. It highlights current examples of radiolabeled nanoparticulate probes in preclinical cardiovascular research and demonstrates their utility in applications such as blood pool imaging and molecular imaging of ischemia, angiogenesis, atherosclerosis, and inflammation. These agents provide valuable insight into the molecular and cellular mechanisms of cardiovascular disease and illustrate both the limitations and the significant potential of nanoparticles in diagnostic and therapeutic applications. Further technologic development to improve performance, address safety concerns, and fulfil regulatory obligations is required for clinical translation of these emergent technologies.
MeSH term(s)	Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/drug therapy ; Drug Delivery Systems ; Gated Blood-Pool Imaging ; Humans ; Molecular Imaging ; Nanoparticles ; Positron-Emission Tomography ; Radiopharmaceuticals/administration & dosage ; Radiopharmaceuticals/therapeutic use ; Tomography, Emission-Computed, Single-Photon
Chemical Substances	Radiopharmaceuticals
Language	English
Publishing date	2015-11
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Review
ZDB-ID	80272-4
ISSN	1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
ISSN (online)	1535-5667
ISSN	0097-9058 ; 0161-5505 ; 0022-3123
DOI	10.2967/jnumed.115.164145
Database	MEDical Literature Analysis and Retrieval System OnLINE

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