Roshan Karunamuni
University of California, San Diego
Internal medicineGenotypePathologyMagnetic resonance imagingOncologyHippocampal formationDiffusion MRISingle-nucleotide polymorphismNeurocognitiveRadiation treatment planningHazard ratioProstateContrast (vision)Cortex (anatomy)GliomaBrain tumorProstate cancerAtrophyWhite matterNuclear medicineProportional hazards modelRadiation therapyMedicineFractional anisotropy
95Publications
15H-index
752Citations
Publications 94
Newest
#1Lasse Pihlstrøm (Oslo University Hospital)H-Index: 22
#2Chun Chieh Fan (UCSD: University of California, San Diego)H-Index: 26
Last. Donald G. Grosset (Glas.: University of Glasgow)H-Index: 56
view all 12 authors...
Background null Parkinson's disease (PD) is a highly age-related disorder, where common genetic risk variants affect both disease risk and age at onset. A statistical approach that integrates these effects across all common variants may be clinically useful for individual risk stratification. A polygenic hazard score methodology, leveraging a time-to-event framework, has recently been successfully applied in other age-related disorders. null Objectives null We aimed to develop and validate a pol...
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#1Meghana S Pagadala (Veterans Health Administration)
#2Julie Lynch (UofU: University of Utah)H-Index: 13
Last. Rishi Deka (Veterans Health Administration)H-Index: 6
view all 14 authors...
Importance: Early detection of prostate cancer to reduce mortality remains controversial because there is often also overdiagnosis of low-risk disease and unnecessary treatment. Genetic scores may provide an objective measure of a man9s risk of dying from prostate cancer and thus inform screening decisions, especially in men of African ancestry, who have a higher average risk of prostate cancer death but are often treated as a homogeneous group. Objective: Determine whether a polygenic hazard sc...
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#1Minh-Phuong Huynh-Le (UCSD: University of California, San Diego)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Artitaya Lophatananon (University of Manchester)H-Index: 31
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Abstract null Introduction null Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. null Methods null In total, 299 SNPs previously as...
1 CitationsSource
#1Mia A Salans (UCSD: University of California, San Diego)H-Index: 3
#2Michelle D. Tibbs (UCSD: University of California, San Diego)H-Index: 4
Last. Jona A. Hattangadi-Gluth (UCSD: University of California, San Diego)H-Index: 23
view all 10 authors...
BACKGROUND We explored fine motor skills (FMS) before and after brain radiotherapy (RT), analyzing associations between longitudinal FMS and imaging biomarkers of cortical and white matter (WM) integrity in motor regions of interest (ROIs). METHODS On a prospective trial, 52 primary brain tumor patients receiving fractionated brain RT underwent volumetric brain MRI, diffusion tensor imaging, and FMS assessments (Delis-Kaplan Executive Function System Trail Making Test Motor Speed [DKEFS-MS], Gro...
2 CitationsSource
#47Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
#48Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were obtained from PR...
2 CitationsSource
#1Mia A Salans (UCSD: University of California, San Diego)H-Index: 3
#2Michelle D. Tibbs (UCSD: University of California, San Diego)H-Index: 4
Last. Tonya M. Pan-Weisz (UCSD: University of California, San Diego)H-Index: 3
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ABSTRACT null null Background null We conducted the first prospective longitudinal study examining the independent association between patient-reported hrQoL (physical, social/family, emotional, functional, and brain cancer-specific) and neurocognitive function (NCF), while controlling for mood symptoms in primary brain tumor patients. null null null Methods null Primary brain tumor patients (n=59) receiving brain radiotherapy (RT) underwent hrQOL (Functional Assessment of Cancer Therapy-Brain),...
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#1Zhong Ay (UCSD: University of California, San Diego)
#2Leonardino A. Digma (UCSD: University of California, San Diego)H-Index: 2
Last. Tyler M. SeibertH-Index: 18
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PurposeMultiparametric MRI (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the qualitative PI-RADS system and quantitative apparent diffusion coefficient (ADC) yield inconsistent results. An advanced Restrictrion Spectrum Imaging (RSI) model may yield a better quantitative marker for csPCa, the RSI restriction score (RSIrs). We evaluated RSIrs for patient-level detection of csPCa. Materials and MethodsRetrospective analysis of men who underwent mpMRI with RSI an...
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#1Christine H. Feng (UCSD: University of California, San Diego)H-Index: 5
#2Christopher C. Conlin (UCSD: University of California, San Diego)H-Index: 3
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 11 authors...
BACKGROUND Diffusion magnetic resonance imaging (MRI) is integral to detection of prostate cancer (PCa), but conventional apparent diffusion coefficient (ADC) cannot capture the complexity of prostate tissues and tends to yield noisy images that do not distinctly highlight cancer. A four-compartment restriction spectrum imaging (RSI4 ) model was recently found to optimally characterize pelvic diffusion signals, and the model coefficient for the slowest diffusion compartment, RSI4 -C1 , yielded g...
1 CitationsSource
#1Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 13 authors...
BACKGROUND Clinical variables-age, family history, genetics-are used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as associated with age at prostate cancer diagnosis. While polygenic scores are associated with all prostate cancer (not specific for fatal cancers), PHS46 was also associated with age at prostate cancer death. We evaluated if adding PHS to clinical variables improves associations with prostate cancer death. METHODS Genotyp...
3 CitationsSource
#1Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 13 authors...
65Background: Clinical variables (age, family history, and genetics) are commonly used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as a...
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