- Diagnostic Radiology
Clinical Assistant Professor, Radiology
Medical Education: University of Southern California Keck School of Medicine (2006) CA
Residency: Santa Clara Valley Medical Center (2011) CA
Fellowship: Stanford University Radiology Fellowships (2014) CA
Internship: Santa Clara Valley Medical Center Internal Medicine Residency (2007) CA
Board Certification: American Board of Radiology, Diagnostic Radiology (2011)
Reduced dose CT with model-based iterative reconstruction compared to standard dose CT of the chest, abdomen, and pelvis in oncology patients: intra-individual comparison study on image quality and lesion conspicuity.
To compare image quality and lesion conspicuity of reduced dose (RD) CT with model-based iterative reconstruction (MBIR) compared to standard dose (SD) CT in patients undergoing oncological follow-up imaging.Forty-four cancer patients who had a staging SD CT within 12 months were prospectively included to undergo a weight-based RD CT with MBIR. Radiation dose was recorded and tissue attenuation and image noise of four tissue types were measured. Reproducibility of target lesion size measurements of up to 5 target lesions per patient were analyzed. Subjective image quality was evaluated for three readers independently utilizing 4- or 5-point Likert scales.Median radiation dose reduction was 46% using RD CT (P < 0.01). Median image noise across all measured tissue types was lower (P < 0.01) in RD CT. Subjective image quality for RD CT was higher (P < 0.01) in regard to image noise and overall image quality; however, there was no statistically significant difference regarding image sharpness (P = 0.59). There were subjectively more artifacts on RD CT (P < 0.01). Lesion conspicuity was subjectively better in RD CT (P < 0.01). Repeated target lesion size measurements were highly reproducible both on SD CT (ICC = 0.987) and RD CT (ICC = 0.97).RD CT imaging with MBIR provides diagnostic imaging quality and comparable lesion conspicuity on follow-up exams while allowing dose reduction by a median of 46% compared to SD CT imaging.
View details for DOI 10.1007/s00261-017-1140-5
View details for PubMedID 28417170
The Use of Patient and Family Advisory Councils to Improve Patient Experience in Radiology.
AJR. American journal of roentgenology
2016; 207 (5): 965-970
Rising costs and widespread inefficiencies in current practices have prompted a paradigm shift in American health care from volume- to value-based care with patients and families assuming a central role. Patient and family advisory councils (PFACs) are particularly compelling as a strategy for using patient and family engagement for process improvement. Although relatively new in the radiologic community, PFACs can be a powerful tool in improving patient experience.PFACs are a particularly powerful method of patient and family engagement that can be used in effecting meaningful change in practice. This valuable resource resides within most hospitals and is generally readily accessible. In the era of value-based care, it is essential that radiologists actively engage with patients to improve efficiency, reduce expenditures, and maximize patient satisfaction.
View details for PubMedID 27440525