e-ISSN: Pending
Negative / Null Result ReportOpen accessMedicine· cited by 88

Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced–MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma

Xuling Lin; M. Lee; Olivia Buck; Kaitlin M. Woo; Zhigang Zhang; Vaios Hatzoglou; Antonio Omuro; Julio Arévalo‐Pérez · 2016 · American Journal of Neuroradiology

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

BACKGROUND AND PURPOSE: Glioblastoma and primary CNS lymphoma dictate different neurosurgical strategies; it is critical to distinguish them preoperatively. However, current imaging modalities do not effectively differentiate them. We aimed to examine the use of DWI and T1-weighted dynamic contrast-enhanced–MR imaging as potential discriminative tools. MATERIALS AND METHODS: We retrospectively reviewed 18 patients with primary CNS lymphoma and 36 matched patients with glioblastoma with pretreatment DWI and dynamic contrast-enhanced–MR imaging. VOIs were drawn around the tumor on contrast-enhan

Abstract by Xuling Lin; M. Lee; Olivia Buck; Kaitlin M. Woo; Zhigang Zhang; Vaios Hatzoglou; Antonio Omuro; Julio Arévalo‐Pérez, American Journal of Neuroradiology (2016) — licensed CC BY 4.0.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.3174/ajnr.a5023