Index by author
So, T.Y.
- EDITOR'S CHOICEHead & NeckOpen AccessEarly Detection of Cancer: Evaluation of MR Imaging Grading Systems in Patients with Suspected Nasopharyngeal CarcinomaA.D. King, J.K.S. Woo, Q.-Y. Ai, F.K.F. Mo, T.Y. So, W.K.J. Lam, I.O.L. Tse, A.C. Vlantis, K.W.N. Yip, E.P. Hui, B.B.Y. Ma, R.W.K. Chiu, A.T.C. Chan, Y.M.D. Lo and K.C.A. ChanAmerican Journal of Neuroradiology March 2020, 41 (3) 515-521; DOI: https://doi.org/10.3174/ajnr.A6444
Dedicated nasopharyngeal MR imaging before (plain scan system) and after intravenous contrast administration (current and modified systems) was reviewed in patients from a nasopharyngeal carcinoma-endemic region, comprising 383 patients with suspected disease without nasopharyngeal carcinoma and 383 patients with nasopharyngeal carcinoma. The modified and plain scan systems refined primary tumor criteria, added a nodal assessment, and expanded the system from 4 to 5 grades. The current, modified, and plain scan MR imaging systems yielded sensitivities of 99.74%, 97.91%, and 97.65%, respectively, and specificities of 63.45%, 89.56%, and 86.42%, respectively. The modified system yielded significantly better performance than the current and plain systems. In conclusion, the authors propose a modified MR imaging grading system that improves diagnostic performance for nasopharyngeal carcinoma detection. Contrast was not valuable for low MR imaging grades, and the plain scan shows potential for use in screening programs.
Soloff, E.
- SpineYou have accessLumbar Puncture: Creation and Resident Acceptance of a Low-Cost, Durable, Reusable Fluoroscopic Phantom with a Fluid-Filled Spinal Canal for Training at an Academic ProgramD.J. Lerner, S.E. Gifford, N. Olafsen, A. Mileto and E. SoloffAmerican Journal of Neuroradiology March 2020, 41 (3) 548-550; DOI: https://doi.org/10.3174/ajnr.A6439
Sommer, K.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessCorrection of Motion Artifacts Using a Multiscale Fully Convolutional Neural NetworkK. Sommer, A. Saalbach, T. Brosch, C. Hall, N.M. Cross and J.B. AndreAmerican Journal of Neuroradiology March 2020, 41 (3) 416-423; DOI: https://doi.org/10.3174/ajnr.A6436
The authors implement and validate an MRI motion-artifact correction method using a multiscale fully convolutional neural network. Application of the network resulted in notably improved image quality without the loss of morphologic information. For synthetic test data, the average reduction in mean squared error was 41.84%. The blinded reader study on the real-world test data resulted in significant reduction in mean artifact scores across all cases.
Sprenger, T.
- Adult BrainOpen AccessClinical Experience of 1-Minute Brain MRI Using a Multicontrast EPI Sequence in a Different Scan EnvironmentK.H. Ryu, H.J. Baek, S. Skare, J.I. Moon, B.H. Choi, S.E. Park, J.Y. Ha, T.B. Kim, M.J. Hwang and T. SprengerAmerican Journal of Neuroradiology March 2020, 41 (3) 424-429; DOI: https://doi.org/10.3174/ajnr.A6427
Stein, A.A.
- InterventionalYou have accessAccess-Site Complications in Mechanical Thrombectomy for Acute Ischemic Stroke: A Review of Prospective TrialsS.Z. Shapiro, K.A. Sabacinski, K. Mantripragada, S.S. Shah, A.A. Stein, N.B. Echeverry, G.A. MacKinnon and B.M. SnellingAmerican Journal of Neuroradiology March 2020, 41 (3) 477-481; DOI: https://doi.org/10.3174/ajnr.A6423
Stokes, A.M.
- EDITOR'S CHOICEAdult BrainOpen AccessPerformance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic BiopsiesJ.M. Hoxworth, J.M. Eschbacher, A.C. Gonzales, K.W. Singleton, G.D. Leon, K.A. Smith, A.M. Stokes, Y. Zhou, G.L. Mazza, A.B. Porter, M.M. Mrugala, R.S. Zimmerman, B.R. Bendok, D.P. Patra, C. Krishna, J.L. Boxerman, L.C. Baxter, K.R. Swanson, C.C. Quarles, K.M. Schmainda and L.S. HuAmerican Journal of Neuroradiology March 2020, 41 (3) 408-415; DOI: https://doi.org/10.3174/ajnr.A6486
This study compares the predictive performance of relative CBV standardization against relative CBV normalization for quantifying recurrent tumor burden in high-grade gliomas relative to posttreatment radiation effects. The authors recruited 38 previously treated patients with high-grade gliomas (World Health Organization grades III or IV) undergoing surgical re-resection for recurrent tumor versus posttreatment radiation effects. They recovered 112 image-localized biopsies and quantified the percentage of histologic tumor content versus posttreatment radiation effects for each sample. They measured spatially matched normalized and standardized relative CBV metrics (mean, median) and fractional tumor burden for each biopsy. Across relative CBV metrics, fractional tumor burden showed the highest correlations with tumor content (0%–100%) for normalized and standardized values. With binary cutoffs, predictive accuracies were similar for both standardized and normalized metrics and across relative CBV metrics. Standardization of relative CBV achieves similar equivalent performance compared with normalized relative CBV and offers an important step toward workflow optimization and consensus methodology.
Su, T.
- InterventionalOpen AccessLarge Neck and Strong Ostium Inflow as the Potential Causes for Delayed Occlusion of Unruptured Sidewall Intracranial Aneurysms Treated by Flow DiverterT. Su, P. Reymond, O. Brina, P. Bouillot, P. Machi, B.M.A. Delattre, L. Jin, K.O. Lövblad and M.I. VargasAmerican Journal of Neuroradiology March 2020, 41 (3) 488-494; DOI: https://doi.org/10.3174/ajnr.A6413
Swanson, K.R.
- EDITOR'S CHOICEAdult BrainOpen AccessPerformance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic BiopsiesJ.M. Hoxworth, J.M. Eschbacher, A.C. Gonzales, K.W. Singleton, G.D. Leon, K.A. Smith, A.M. Stokes, Y. Zhou, G.L. Mazza, A.B. Porter, M.M. Mrugala, R.S. Zimmerman, B.R. Bendok, D.P. Patra, C. Krishna, J.L. Boxerman, L.C. Baxter, K.R. Swanson, C.C. Quarles, K.M. Schmainda and L.S. HuAmerican Journal of Neuroradiology March 2020, 41 (3) 408-415; DOI: https://doi.org/10.3174/ajnr.A6486
This study compares the predictive performance of relative CBV standardization against relative CBV normalization for quantifying recurrent tumor burden in high-grade gliomas relative to posttreatment radiation effects. The authors recruited 38 previously treated patients with high-grade gliomas (World Health Organization grades III or IV) undergoing surgical re-resection for recurrent tumor versus posttreatment radiation effects. They recovered 112 image-localized biopsies and quantified the percentage of histologic tumor content versus posttreatment radiation effects for each sample. They measured spatially matched normalized and standardized relative CBV metrics (mean, median) and fractional tumor burden for each biopsy. Across relative CBV metrics, fractional tumor burden showed the highest correlations with tumor content (0%–100%) for normalized and standardized values. With binary cutoffs, predictive accuracies were similar for both standardized and normalized metrics and across relative CBV metrics. Standardization of relative CBV achieves similar equivalent performance compared with normalized relative CBV and offers an important step toward workflow optimization and consensus methodology.