Department of Radiology
Found 20 results
Filters: Keyword is Multimodal Imaging  [Clear All Filters]
2020
Karakatsanis NA, Abgral R, Trivieri MGiovanna, Dweck MR, Robson PM, Calcagno C, Boeykens G, Senders ML, Mulder WJM, Tsoumpas C et al..  2020.  Hybrid PET- and MR-driven attenuation correction for enhanced F-NaF and F-FDG quantification in cardiovascular PET/MR imaging.. J Nucl Cardiol. 27(4):1126-1141.
Shah SA, Lowder RJ, Kuceyeski A.  2020.  Quantitative multimodal imaging in traumatic brain injuries producing impaired cognition.. Curr Opin Neurol. 33(6):691-698.
Rahman A, Schelbaum E, Hoffman K, Diaz I, Hristov H, Andrews R, Jett S, Jackson H, Lee A, Sarva H et al..  2020.  Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging study.. Neurology. 95(2):e166-e178.
2019
Oh J, Ontaneda D, Azevedo C, Klawiter EC, Absinta M, Arnold DL, Bakshi R, Calabresi PA, Crainiceanu C, Dewey B et al..  2019.  Imaging outcome measures of neuroprotection and repair in MS: A consensus statement from NAIMS.. Neurology. 92(11):519-533.
Seligman L, Kovanlikaya I, Pisapia DJ, Naeger DM, Magge R, Fine HA, Chiang GC.  2019.  Integrated PET-MRI for Glioma Surveillance: Perfusion-Metabolism Discordance Rate and Association With Molecular Profiling.. AJR Am J Roentgenol. 212(4):883-891.
Senders ML, Hernot S, Carlucci G, van de Voort JC, Fay F, Calcagno C, Tang J, Alaarg A, Zhao Y, Ishino S et al..  2019.  Nanobody-Facilitated Multiparametric PET/MRI Phenotyping of Atherosclerosis.. JACC Cardiovasc Imaging. 12(10):2015-2026.
Kim E, Mema E, Axelrod D, Sigmund E, Kim SGene, Babb J, Melsaether AN.  2019.  Preliminary analysis: Background parenchymal 18F-FDG uptake in breast cancer patients appears to correlate with background parenchymal enhancement and to vary by distance from the index cancer.. Eur J Radiol. 110:163-168.
2018
Kundel V, Trivieri MGiovanna, Karakatsanis NA, Robson PM, Mani V, Kizer JR, Kaplan R, Fayad Z, Shah N.  2018.  Assessment of atherosclerotic plaque activity in patients with sleep apnea using hybrid positron emission tomography/magnetic resonance imaging (PET/MRI): a feasibility study.. Sleep Breath. 22(4):1125-1135.
J Chazen L, Sarva H, Stieg PE, Min RJ, Ballon DJ, Pryor KO, Riegelhaupt PM, Kaplitt MG.  2018.  Clinical improvement associated with targeted interruption of the cerebellothalamic tract following MR-guided focused ultrasound for essential tremor.. J Neurosurg. 129(2):315-323.
Robson PM, Trivieri MG, Karakatsanis NA, Padilla M, Abgral R, Dweck MR, Kovacic JC, Fayad ZA.  2018.  Correction of respiratory and cardiac motion in cardiac PET/MR using MR-based motion modeling.. Phys Med Biol. 63(22):225011.
Lu D, Popuri K, Ding GWeiguang, Balachandar R, Beg MFaisal.  2018.  Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.. Sci Rep. 8(1):5697.
Patel N, Halpern JA, Kasabwala K, Cricco-Lizza E, Herman M, Margolis D, Xu C, Robinson BD, Wang Y, McClure T et al..  2018.  Multiple Regions of Interest on Multiparametric Magnetic Resonance Imaging are Not Associated with Increased Detection of Clinically Significant Prostate Cancer on Fusion Biopsy.. J Urol. 200(3):559-563.
Fox JJ, Gavane SC, Blanc-Autran E, Nehmeh S, Gönen M, Beattie B, Vargas HA, Schöder H, Humm JL, Fine SW et al..  2018.  Positron Emission Tomography/Computed Tomography-Based Assessments of Androgen Receptor Expression and Glycolytic Activity as a Prognostic Biomarker for Metastatic Castration-Resistant Prostate Cancer.. JAMA Oncol. 4(2):217-224.
2017
Abgral R, Dweck MR, Trivieri MGiovanna, Robson PM, Karakatsanis N, Mani V, Padilla M, Miller M, Lala A, Sanz J et al..  2017.  Clinical Utility of Combined FDG-PET/MR to Assess Myocardial Disease.. JACC Cardiovasc Imaging. 10(5):594-597.
Robson PM, Dweck MR, Trivieri MGiovanna, Abgral R, Karakatsanis NA, Contreras J, Gidwani U, Narula JP, Fuster V, Kovacic JC et al..  2017.  Coronary Artery PET/MR Imaging: Feasibility, Limitations, and Solutions.. JACC Cardiovasc Imaging. 10(10 Pt A):1103-1112.
Mosconi L, Berti V, Quinn C, McHugh P, Petrongolo G, Varsavsky I, Osorio RS, Pupi A, Vallabhajosula S, Isaacson RS et al..  2017.  Sex differences in Alzheimer risk: Brain imaging of endocrine vs chronologic aging.. Neurology. 89(13):1382-1390.
2016
Margolis NE, Moy L, Sigmund EE, Freed M, McKellop J, Melsaether AN, Kim SGene.  2016.  Assessment of Aggressiveness of Breast Cancer Using Simultaneous 18F-FDG-PET and DCE-MRI: Preliminary Observation.. Clin Nucl Med. 41(8):e355-61.
Kim SGene, Friedman K, Patel S, Hagiwara M.  2016.  Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer.. AJR Am J Roentgenol. 207(2):248-56.
2013
E Ryan R, Sofocleous CT, Schöder H, Carrasquillo JA, Nehmeh S, Larson SM, Thornton R, Siegelbaum RH, Erinjeri JP, Solomon SB.  2013.  Split-dose technique for FDG PET/CT-guided percutaneous ablation: a method to facilitate lesion targeting and to provide immediate assessment of treatment effectiveness.. Radiology. 268(1):288-95.
2011
Fox JJ, Autran-Blanc E, Morris MJ, Gavane S, Nehmeh S, Van Nuffel A, Gönen M, Schöder H, Humm JL, Scher HI et al..  2011.  Practical approach for comparative analysis of multilesion molecular imaging using a semiautomated program for PET/CT.. J Nucl Med. 52(11):1727-32.