Roosha Parikh

Dr. Roosha Parikh


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 October 2024 in JACC
Verified
Journal Article
Closed access
KSKoshiro Sakai
Koshiro Sakai
DSDoosup Shin
Doosup Shin
MSMandeep Singh
Mandeep Singh
SMSarah Malik
Sarah Malik
ADAli Dakroub
Ali Dakroub
ZAZiad Ali
Ziad Ali

10 March 2025 in JACC
Verified
Journal Article
Closed access
OKOmar Khalique
Omar Khalique
SZSyed Zaid
Syed Zaid
GTGilbert H.L. Tang
Gilbert H.L. Tang
MAMohamed Abdel-Wahab
Mohamed Abdel-Wahab
MAMariama Akodad
Mariama Akodad
HJHasan Jilaihawi
Hasan Jilaihawi

1 March 2017 in Cardiovascular Revascularization Medicine
Verified
Journal Article
Closed access
APApurva Patel
Apurva Patel
RPRoosha Parikh
Roosha Parikh
YHYili Huang
Yili Huang
MLMichael Liou
Michael Liou
JRJustin Ratcliffe
Justin Ratcliffe
TKTak W. Kwan
Tak W. Kwan

13 November 2025 in JACC: Advances
Verified
Journal Article
Open access
KPKrishna K. Patel
Krishna K. Patel
JSJordan B. Strom
Jordan B. Strom
MSMushabbar A. Syed
Mushabbar A. Syed
RPRoosha Parikh
Roosha Parikh
LSLeslee J. Shaw
Leslee J. Shaw
RLRadmila Lyubarova
Radmila Lyubarova
Noninvasive cardiac imaging plays a critical role in the diagnosis and risk stratification of cardiovascular disease in older adults, a population marked by clinical heterogeneity, multimorbidity, and age-related physiologic changes. This review outlines the strengths and limitations of commonly used imaging modalities including echocardiography, transesophageal echocardiography, cardiac computed tomography, nuclear imaging tests, and cardiac magnetic resonance imaging in the context of aging. We highlight diagnostic challenges such as limited exercise capacity, image quality artifacts, reduced specificity in the setting of multivessel, or microvascular disease and intolerance to longer scan protocols. Advances in imaging technology, including artificial intelligence and hybrid protocols, offer opportunities to improve accuracy, access, and individualized decision-making. The review emphasizes the importance of tailoring test selection to patient comorbidities and goals of care. Addressing current evidence gaps through trials inclusive of older adults and geriatric-focused imaging guidelines is essential to delivering equitable, high-value cardiovascular care to older adults.

3 November 2025 in JACC: Cardiovascular Imaging
Verified
Journal Article
Closed access
DSDoosup Shin
Doosup Shin
RVRick Volleberg
Rick Volleberg
RPRoosha Parikh
Roosha Parikh
CKChristopher Chieh Yang Koo
Christopher Chieh Yang Koo
FSFernando Sosa
Fernando Sosa
ZAZiad Ali
Ziad Ali

22 April 2025 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
MKMarco Kaldas
Marco Kaldas
JWJonathan Weber
Jonathan Weber
RPRoosha Parikh
Roosha Parikh
KPKarli Pipitone
Karli Pipitone
KCKaren W Chau
Karen W Chau
OKOmar Khalique
Omar Khalique
Background: Cardiovascular risk assessment relies heavily on coronary calcium scoring. With an emphasis on varying slice increments, this study investigates the effectiveness of true and virtual non-contrast reconstructions on photon-counting CT. Reconstruction methods’ effects on calcium severity classifications are critical to the improvement in imaging techniques. Methods: This study comprised 77 participants (mean age: 63 ± 10 years, 43% female), of whom 0 had a coronary artery calcium score (CACS) of zero. In contrast to true non-contrast (TNC) 3 × 3 mm, the reconstructions included TNC 3 × 1.5 mm, virtual non-contrast (VNC) 3 × 3 mm, and VNC 3 × 1.5 mm. Agatston units served as the basis for classifications into standard clinical diagnostic categories. Results: High concordance between acquisition types was revealed by interclass correlation values (0.97–0.99). Comparing TNC 3 × 1.5 mm reconstructions to their VNC counterparts, misclassifications were less common (Cohen Kappa = 0.94). (K = 0.83–0.85). Significant differences in the average calcium scores and rates of misclassification highlighted the impact of reconstruction methods on precise evaluations. Conclusions: VNC methods demonstrated high agreement; however, with a small rate of misclassifications as compared to the gold standard method. VNC CACS may help optimize workflows but may need differing cutoffs as compared to traditional methods.