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.
- Diagnostic Radiology
- Resident Education
- Chest and Cardiovascular Imaging
- Musculoskeletal Imaging
Clinical Associate Professor, Radiology
Member, Cardiovascular Institute
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)
Residency: Stanford University Dept of General Surgery (2004) CA
Internship: Stanford University Dept of General Surgery (2003) CA
Medical Education: University of Southern California Keck School of Medicine (2002) CA
Fellowship: Stanford University Radiology Fellowships (2010) CA
Residency: Stanford University Radiology Residency (2009) CA
Board Certification: American Board of Radiology, Diagnostic Radiology (2009)
White matter asymmetry: a reflection of pathology in traumatic brain injury.
Journal of neurotrauma
Comparisons of white matter (WM) fractional anisotropy (FA) values between mild traumatic brain injury (mTBI) patients and controls have revealed inconsistencies in the directions of the resulting FA changes. To address these discrepancies, we examined hemispheric FA symmetry levels across WM tracts in 150 mTBI patients relative to 96 military controls. Automated fiber quantification was used to extract 18 WM tracts with 100 FA values, which were used to compute correlation strengths between the 9 bilateral tract pairs. The Fisher z-transformed Pearson's r values were entered into an analysis of covariance examining the effects of group (mTBI and controls) and age on symmetry levels within each tract pair. The mTBI group displayed lower symmetry levels in the cortico-spinal tract and the inferior longitudinal fasciculus. Interactions between age and group were detected in the inferior fronto-occipital (IFOF), uncinate (UF), and superior longitudinal fasciculi (SLF). A similar pattern emerged in the IFOF and the UF, revealing age-related symmetry decreases in the mTBI patients despite stable levels of symmetry across age in controls. In contrast, while the control group's symmetry levels actually increased with age in the SLF, no age-related symmetry changes were detected across the mTBI participants. Here we proposed WM symmetry measures as a potential means of circumventing directional inconsistencies of trauma-related FA changes, as well as capturing more within-tract and within-subject variances of DTI metrics. Further, we demonstrated the method's utility in detecting mTBI-specific effects and their associated interactions with age.
View details for DOI 10.1089/neu.2019.6487
View details for PubMedID 31595833
Identifying cardiovascular risk factors that impact cerebrovascular reactivity: An ASL MRI study.
Journal of magnetic resonance imaging : JMRI
BACKGROUND: To maintain cerebral blood flow (CBF), cerebral blood vessels dilate and contract in response to blood supply through cerebrovascular reactivity (CR).PURPOSE: Cardiovascular (CV) disease is associated with increased stroke risk, but which risk factors specifically impact CR is unknown.STUDY TYPE: Prospective longitudinal.SUBJECTS: Fifty-three subjects undergoing carotid endarterectomy or stenting.FIELD STRENGTH/SEQUENCE: 3T, 3D pseudo-continuous arterial spin labeling (PCASL) ASL, and T1 3D fast spoiled gradient echo (FSPGR).ASSESSMENT: We evaluated group differences in CBF changes for multiple cardiovascular risk factors in patients undergoing carotid revascularization surgery.STATISTICAL TESTS: PRE (baseline), POST (48-hour postop), and 6MO (6 months postop) whole-brain CBF measurements, as 129 CBF maps from 53 subjects were modeled as within-subject analysis of variance (ANOVA). To identify CV risk factors associated with CBF change, the CBF change from PRE to POST, POST to 6MO, and PRE to 6MO were modeled as multiple linear regression with each CV risk factor as an independent variable. Statistical models were performed controlling for age on a voxel-by-voxel basis using SPM8. Significant clusters were reported if familywise error (FWE)-corrected cluster-level was P<0.05, while the voxel-level significance threshold was set for P<0.001.RESULTS: The entire group showed significant (cluster-level P<0.001) CBF increase from PRE to POST, decrease from POST to 6MO, and no significant difference (all voxels with P>0.001) from PRE to 6MO. Of multiple CV risk factors evaluated, only elevated systolic blood pressure (SBP, P = 0.001), chronic renal insufficiency (CRI, P = 0.026), and history of prior stroke (CVA, P<0.001) predicted lower increases in CBF PRE to POST. Over POST to 6MO, obesity predicted lower (P>0.001) and cholesterol greater CBF decrease (P>0.001).DATA CONCLUSION: The CV risk factors of higher SBP, CRI, CVA, BMI, and cholesterol may indicate altered CR, and may warrant different stroke risk mitigation and special consideration for CBF change evaluation.LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2019.
View details for DOI 10.1002/jmri.26862
View details for PubMedID 31294898
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
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
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
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