Payam Massaband received his Bachelors degree in Neuroscience at UCLA in 1998 and MD degree at USC in 2002. Dr. Massaband has been a staff radiologist at the VA Palo Alto since graduating from Radiology residency and fellowship at Stanford in 2010. Dr. Massaband concentrated on imaging of the cardiovascular and musculoskeletal organ systems in fellowship. As chief of the Radiology Service at VA Palo Alto since 2012, he has concentrated on clinical excellence, process improvement and residency education. Dr. Massaband was named the Stanford Radiology Residency Program Director in 2015.

Clinical Focus

  • Diagnostic Radiology
  • Resident Education
  • Chest and Cardiovascular Imaging
  • Musculoskeletal Imaging

Academic Appointments

  • Clinical Associate Professor, Radiology

Administrative Appointments

  • Residency Program Director, Stanford Department of Radiology (2015 - Present)
  • Chief, Radiology, VA Palo Alto Health Care System (2012 - Present)

Honors & Awards

  • Junior Faculty Teacher of the Year, Stanford University Department of Radiology (June 2013)

Boards, Advisory Committees, Professional Organizations

  • Steering Committee Member, Teaching and Mentoring Academy, Stanford (2017 - Present)

Professional Education

  • Fellowship:Stanford University Radiology Fellowships (2010) CA
  • Medical Education:University of Southern California Keck School of Medicine Registrar (2002) CA
  • Residency:Stanford University Radiology Residency (2009) CA
  • Residency:Stanford University General Surgery Residency (2004) CA
  • Internship:Stanford University General Surgery Residency (2003) CA
  • Board Certification: Diagnostic Radiology, American Board of Radiology (2009)


All Publications

  • A randomized controlled trial of exercise to prevent muscle mass and functional loss in elderly hemodialysis patients: Rationale, study design, and baseline sample. Contemporary clinical trials communications Chan, K. N., Chen, Y., Lit, Y., Massaband, P., Kiratli, J., Rabkin, R., Myers, J. N. 2019; 15: 100365


    Elderly maintenance hemodialysis (MHD) patients exhibit muscle wasting and impaired physical function. This trial determines whether MHD patients benefit from a 12-week home-based exercise program, protein supplementation, or both.and Methods: This is a randomized, blinded controlled trial involving 60 elderly MHD patients with impaired exercise capacity and function. Patients are randomized into either a homebased exercise program or normal care over a 12-week period. Measures at baseline include peak VO2, strength and body composition as well as cognitive and disease-specific questionnaires. Muscle biopsies are obtained and analyzed for protein signaling, expression of IGF-1, androgen receptors, and myostatin.At baseline, patient characteristics in the exercise and normal care groups were similar by age, gender and anthropomorphic measures. Peak VO2 was impaired (14.7 ± 3.3 ml/kg/min), representing 55 ± 14% of the age-predicted value. Six-minute walk distance was 322 ± 71 m, and the mean 1-min sit to stand test was 18 ± 8 repetitions, representing 69 ± 16% and 55 ± 22% of the age-predicted values, respectively. Indices of muscle function, including upper and lower body and hand grip strength all indicate marked impairment. Quality of life (QoL) using the SF36, the Beeson cognitive test, and KDQOL all suggest marked impairments compared to age-expected reference values for non-MHD patients.Patients undergoing MHD exhibit markedly reduced physical function and QoL. Thus, there are potentially significant gains to be made through a program of aerobic and resistance exercise. We anticipate this trial will demonstrate that home-based exercise improves cardiopulmonary function, protein signaling and QoL, and increases muscle mass, strength, and body composition.

    View details for DOI 10.1016/j.conctc.2019.100365

    View details for PubMedID 31193611

    View details for PubMedCentralID PMC6536673

  • Brain structural connectivity distinguishes patients at risk for cognitive decline after carotid interventions. Human brain mapping Soman, S., Prasad, G., Hitchner, E., Massaband, P., Moseley, M. E., Zhou, W., Rosen, A. C. 2016; 37 (6): 2185-2194


    While brain connectivity analyses have been demonstrated to identify ill patients for a number of diseases, their ability to predict cognitive impairment after brain injury is not well established. Traditional post brain injury models, such as stroke, are limited for this evaluation because pre-injury brain connectivity patterns are infrequently available. Patients with severe carotid stenosis, in contrast, often undergo non-emergent revascularization surgery, allowing the collection of pre and post-operative imaging, may experience brain insult due to perioperative thrombotic/embolic infarcts or hypoperfusion, and can suffer post-operative cognitive decline. We hypothesized that a distributed function such as memory would be more resilient in patients with brains demonstrating higher degrees of modularity. To test this hypothesis, we analyzed preoperative structural connectivity graphs (using T1 and DWI MRI) for 34 patients that underwent carotid intervention, and evaluated differences in graph metrics using the Brain Connectivity Toolbox. We found that patients with lower binary component number, binary community number and weighted community number prior to surgery were at greater risk for developing cognitive decline. These findings highlight the promise of brain connectivity analyses to predict cognitive decline following brain injury and serve as a clinical decision support tool. Hum Brain Mapp 37:2185-2194, 2016. © 2016 Wiley Periodicals, Inc.

    View details for DOI 10.1002/hbm.23166

    View details for PubMedID 27028955

    View details for PubMedCentralID PMC4867285

  • Improved cardiovascular flow quantification with time-resolved volumetric phase-contrast MRI PEDIATRIC RADIOLOGY Hsiao, A., Alley, M. T., Massaband, P., Herfkens, R. J., Chan, F. P., Vasanawala, S. S. 2011; 41 (6): 711-720


    Cardiovascular flow is commonly assessed with two-dimensional, phase-contrast MRI (2-D PC-MRI). However, scan prescription and acquisition over multiple planes is lengthy, often requires direct physician oversight and has inconsistent results. Time-resolved volumetric PC-MRI (4-D flow) may address these limitations.We assess the degree of agreement and internal consistency between 2-D and 4-D flow quantification in our clinical population.Software enabling flow calculation from 4-D flow was developed in Java. With IRB approval and HIPAA compliance, 18 consecutive patients without shunts were identified who underwent both (1) conventional 2-D PC-MRI of the aorta and main pulmonary artery and (2) 4-D flow imaging. Aortic and pulmonary flow rates were assessed with both techniques.Both methods showed general agreement in flow rates (ρ: 0.87-0.90). Systemic and pulmonary arterial flow rates were well-correlated (ρ: 4-D 0.98-0.99, 2-D 0.93), but more closely matched with 4-D (P < 0.05, Brown-Forsythe). Pulmonary flow rates were lower than systemic rates for 2-D (P < 0.05, two-sample t-test). In a sub-analysis of patients without pulmonary or aortic regurgitation, 2-D showed improved correlation of flow rates while 4-D phase-contrast remained tightly correlated (ρ: 4-D 0.99-1.00, 2-D 0.99).4-D PC-MRI demonstrates greater consistency than conventional 2-D PC-MRI for flow quantification.

    View details for DOI 10.1007/s00247-010-1932-z

    View details for Web of Science ID 000290544500005

    View details for PubMedID 21221566