Sachin Jambawalikar

Dr. Sachin Jambawalikar

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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19 November 2018 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
Closed access
PDF file
ASAmita Shukla-Dave
Amita Shukla-Dave
NONancy A. Obuchowski
Nancy A. Obuchowski
TCThomas L. Chenevert
Thomas L. Chenevert
SJSachin Jambawalikar
Sachin Jambawalikar
LSLawrence H. Schwartz
Lawrence H. Schwartz
EJEdward F. Jackson
Edward F. Jackson

1 January 2018 in JACC: Cardiovascular Imaging
Verified
Journal Article
Open access
STSigal Trattner
Sigal Trattner
SHSandra Halliburton
Sandra Halliburton
CTCarla M. Thompson
Carla M. Thompson
YXYanping Xu
Yanping Xu
ACAnjali Chelliah
Anjali Chelliah
AEAndrew J. Einstein
Andrew J. Einstein
This study sought to determine updated conversion factors (k-factors) that would enable accurate estimation of radiation effective dose (ED) for coronary computed tomography angiography (CTA) and calcium scoring performed on 12 contemporary scanner models and current clinical cardiac protocols and to compare these methods to the standard chest k-factor of 0.014 mSv·mGy-1cm-1. Accurate estimation of ED from cardiac CT scans is essential to meaningfully compare the benefits and risks of different cardiac imaging strategies and optimize test and protocol selection. Presently, ED from cardiac CT is generally estimated by multiplying a scanner-reported parameter, the dose-length product, by a k-factor which was determined for noncardiac chest CT, using single-slice scanners and a superseded definition of ED. Metal-oxide-semiconductor field-effect transistor radiation detectors were positioned in organs of anthropomorphic phantoms, which were scanned using all cardiac protocols, 120 clinical protocols in total, on 12 CT scanners representing the spectrum of scanners from 5 manufacturers (GE, Hitachi, Philips, Siemens, Toshiba). Organ doses were determined for each protocol, and ED was calculated as defined in International Commission on Radiological Protection Publication 103. Effective doses and scanner-reported dose-length products were used to determine k-factors for each scanner model and protocol. k-Factors averaged 0.026 mSv·mGy-1cm-1 (95% confidence interval: 0.0258 to 0.0266) and ranged between 0.020 and 0.035 mSv·mGy-1cm-1. The standard chest k-factor underestimates ED by an average of 46%, ranging from 30% to 60%, depending on scanner, mode, and tube potential. Factors were higher for prospective axial versus retrospective helical scan modes, calcium scoring versus coronary CTA, and higher (100 to 120 kV) versus lower (80 kV) tube potential and varied among scanner models (range of average k-factors: 0.0229 to 0.0277 mSv·mGy-1cm-1). Cardiac k-factors for all scanners and protocols are considerably higher than the k-factor currently used to estimate ED of cardiac CT studies, suggesting that radiation doses from cardiac CT have been significantly and systematically underestimated. Using cardiac-specific factors can more accurately inform the benefit-risk calculus of cardiac-imaging strategies.

25 October 2018 in Journal of Digital Imaging
Verified
Journal Article
Closed access
PDF file
RHRichard Ha
Richard Ha
CCChristine Chin
Christine Chin
JKJenika Karcich
Jenika Karcich
MLMichael Z. Liu
Michael Z. Liu
PCPeter Chang
Peter Chang
SJSachin Jambawalikar
Sachin Jambawalikar

31 January 2019 in Journal of Digital Imaging
Verified
Journal Article
Closed access
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RHRichard Ha
Richard Ha
SMSimukayi Mutasa
Simukayi Mutasa
JKJenika Karcich
Jenika Karcich
NGNishant Gupta
Nishant Gupta
ESEduardo Pascual Van Sant
Eduardo Pascual Van Sant
SJSachin Jambawalikar
Sachin Jambawalikar

3 December 2018 in Journal of Digital Imaging
Verified
Journal Article
Closed access
PDF file
JSJoseph N. Stember
Joseph N. Stember
PCPeter Chang
Peter Chang
DSDanielle M. Stember
Danielle M. Stember
MLMichael Liu
Michael Liu
JGJack Grinband
Jack Grinband
SJSachin Jambawalikar
Sachin Jambawalikar

13 May 2015 in Computer Methods in Biomechanics and Biomedical Engineering
Verified
Journal Article
Closed access
MFM. Fernandez
M. Fernandez
MHM. House
M. House
SJSachin Jambawalikar
Sachin Jambawalikar
NZN. Zork
N. Zork
JVJ. Vink
J. Vink
KMK. Myers
K. Myers
Preterm birth is a strong contributor to perinatal mortality, and preterm infants that survive are at risk for long-term morbidities. During most of pregnancy, appropriate mechanical function of the cervix is required to maintain the developing fetus in utero. Premature cervical softening and subsequent cervical shortening are hypothesized to cause preterm birth. Presently, there is a lack of understanding of the structural and material factors that influence the mechanical function of the cervix during pregnancy. In this study we build finite element models of the pregnant uterus, cervix, and fetal membrane based on magnetic resonance imagining data in order to examine the mechanical function of the cervix under the physiologic loading conditions of pregnancy. We calculate the mechanical loading state of the cervix for two pregnant patients: 22 weeks gestational age with a normal cervical length and 28 weeks with a short cervix. We investigate the influence of (1) anatomical geometry, (2) cervical material properties, and (3) fetal membrane material properties, including its adhesion properties, on the mechanical loading state of the cervix under physiologically relevant intrauterine pressures. Our study demonstrates that membrane–uterus interaction, cervical material modeling, and membrane mechanical properties are factors that must be deliberately and carefully handled in order to construct a high quality mechanical simulation of pregnancy.