Index by author
Long, J.R.
- EDITOR'S CHOICEHead & NeckYou have accessPercutaneous CT-Guided Core Needle Biopsies of Head and Neck Masses: Technique, Histopathologic Yield, and Safety at a Single Academic InstitutionT.J. Hillen, J.C. Baker, J.R. Long, M.V. Friedman and J.W. JenningsAmerican Journal of Neuroradiology November 2020, 41 (11) 2117-2122; DOI: https://doi.org/10.3174/ajnr.A6784
This is a retrospective review of head and neck biopsies performed from January 2013 through December 2019. Clinical diagnosis and indication, patient demographics, mass location and size, biopsy needle type, technical approach, dose-length product, sedation details, complications, diagnostic histopathologic yield, and the use of iodinated contrast were recorded for each case. Twenty-seven CT-guided head and neck core needle biopsies were performed in 26 patients. The diagnostic sample rate was 100% (27/27). A concordant histopathologic diagnosis was obtained in 93% (25/27) of cases. There was a single complication of core needle biopsy, a small asymptomatic superficial hematoma.
Loureiro, R.M.
- Head & NeckOpen AccessCross-Sectional Imaging of Third Molar–Related AbnormalitiesR.M. Loureiro, D.V. Sumi, H.L.V.C. Tames, S.P.P. Ribeiro, C.R. Soares, R.L.E. Gomes and M.M. DanielAmerican Journal of Neuroradiology November 2020, 41 (11) 1966-1974; DOI: https://doi.org/10.3174/ajnr.A6747
Luks, T.L.
- EDITOR'S CHOICEAdult BrainOpen AccessCentrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation StudyP. Alcaide-Leon, J. Cluceru, J.M. Lupo, T.J. Yu, T.L. Luks, T. Tihan, N.A. Bush and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology November 2020, 41 (11) 2049-2054; DOI: https://doi.org/10.3174/ajnr.A6843
Images of 231 patients who underwent an operation for suspected glioma recurrence were reviewed. Patients with susceptibility artifacts or without central necrosis were excluded. The final diagnosis was established according to histopathology reports. Two neuroradiologists classified the diffusion patterns on preoperative MR imaging as the following: 1) reduced diffusion in the solid component only, 2) reduced diffusion mainly in the solid component, 3) no reduced diffusion, 4) reduced diffusion mainly in the central necrosis, and 5) reduced diffusion in the central necrosis only. A total of 103 patients were included (22 with treatment-related lesions and 81 with tumor progression). The diagnostic accuracy results for the centrally reduced diffusion pattern as a predictor of treatment-related lesions (“mainly central” and “exclusively central” patterns versus all other patterns) were: 64% sensitivity, 84% specificity, 52% positive predictive value, and 89% negative predictive value.
Lupo, J.M.
- EDITOR'S CHOICEAdult BrainOpen AccessCentrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation StudyP. Alcaide-Leon, J. Cluceru, J.M. Lupo, T.J. Yu, T.L. Luks, T. Tihan, N.A. Bush and J.E. Villanueva-MeyerAmerican Journal of Neuroradiology November 2020, 41 (11) 2049-2054; DOI: https://doi.org/10.3174/ajnr.A6843
Images of 231 patients who underwent an operation for suspected glioma recurrence were reviewed. Patients with susceptibility artifacts or without central necrosis were excluded. The final diagnosis was established according to histopathology reports. Two neuroradiologists classified the diffusion patterns on preoperative MR imaging as the following: 1) reduced diffusion in the solid component only, 2) reduced diffusion mainly in the solid component, 3) no reduced diffusion, 4) reduced diffusion mainly in the central necrosis, and 5) reduced diffusion in the central necrosis only. A total of 103 patients were included (22 with treatment-related lesions and 81 with tumor progression). The diagnostic accuracy results for the centrally reduced diffusion pattern as a predictor of treatment-related lesions (“mainly central” and “exclusively central” patterns versus all other patterns) were: 64% sensitivity, 84% specificity, 52% positive predictive value, and 89% negative predictive value.
Luther, M.
- PediatricsOpen AccessCharacterization of MR Imaging–Visible Perivascular Spaces in the White Matter of Healthy Adolescents at 3TJ. Piantino, E.L. Boespflug, D.L. Schwartz, M. Luther, A.M. Morales, A. Lin, R.V. Fossen, L. Silbert and B.J. NagelAmerican Journal of Neuroradiology November 2020, 41 (11) 2139-2145; DOI: https://doi.org/10.3174/ajnr.A6789