Negative / Null Result ReportOpen accessMedicine· cited by 25

Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas

Paul Blanc‐Durand; Axel Van Der Gucht; Antoine Verger; Karl‐Josef Langen; Vincent Dunet; Jocelyne Bloch; Jean‐Philippe Brouland; Marie Nicod Lalonde · 2018 · PLoS ONE

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

INTRODUCTION: Aim was to develop a full automatic clustering approach of the time-activity curves (TAC) from dynamic 18F-FET PET and evaluate its association with IDH1 mutation status and survival in patients with gliomas. METHODS: Thirty-seven patients (mean age: 45±13 y) with newly diagnosed gliomas and dynamic 18F-FET PET before any histopathologic investigation or treatment were retrospectively included. Each dynamic 18F-FET PET was realigned to the first image and spatially normalized in the Montreal Neurological Institute template. A tumor mask was semi-automatically generated from Z-sco

Abstract by Paul Blanc‐Durand; Axel Van Der Gucht; Antoine Verger; Karl‐Josef Langen; Vincent Dunet; Jocelyne Bloch; Jean‐Philippe Brouland; Marie Nicod Lalonde, PLoS ONE (2018) — licensed CC BY 4.0.

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