eprintid: 10054586
rev_number: 50
eprint_status: archive
userid: 608
dir: disk0/10/05/45/86
datestamp: 2018-08-21 13:27:10
lastmod: 2021-10-18 22:35:19
status_changed: 2019-06-24 16:33:01
type: article
metadata_visibility: show
creators_name: Skogen, K
creators_name: Schulz, A
creators_name: Helseth, E
creators_name: Ganeshan, B
creators_name: Dormagen, JB
creators_name: Server, A
title: Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis
ispublished: pub
divisions: UCL
divisions: B02
divisions: C10
divisions: D17
divisions: FI6
keywords: Glioblastoma, brain metastases, diffusion tensor imaging, magnetic resonance imaging, peritumoral edema, texture analysis
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: BACKGROUND: Texture analysis has been done on several radiological modalities to stage, differentiate, and predict prognosis in many oncologic tumors. PURPOSE: To determine the diagnostic accuracy of discriminating glioblastoma (GBM) from single brain metastasis (MET) by assessing the heterogeneity of both the solid tumor and the peritumoral edema with magnetic resonance imaging (MRI) texture analysis (MRTA). MATERIAL AND METHODS: Preoperative MRI examinations done on a 3-T scanner of 43 patients were included: 22 GBM and 21 MET. MRTA was performed on diffusion tensor imaging (DTI) in a representative region of interest (ROI). The MRTA was assessed using a commercially available research software program (TexRAD) which applies a filtration histogram technique for characterizing tumor and peritumoral heterogeneity. The filtration step selectively filters and extracts texture features at different anatomical scales varying from 2 mm (fine) to 6 mm (coarse). Heterogeneity quantification was obtained by the statistical parameter entropy. A threshold value to differentiate GBM from MET with sensitivity and specificity was calculated by receiver operating characteristic (ROC) analysis. RESULTS: Quantifying the heterogeneity of the solid part of the tumor showed no significant difference between GBM and MET. However, the heterogeneity of the GBMs peritumoral edema was significantly higher than the edema surrounding MET, differentiating them with a sensitivity of 80% and specificity of 90%. CONCLUSION: Assessing the peritumoral heterogeneity can increase the radiological diagnostic accuracy when discriminating GBM and MET. This will facilitate the medical staging and optimize the planning for surgical resection of the tumor and postoperative management.
date: 2019-03
date_type: published
official_url: https://doi.org/10.1177%2F0284185118780889
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1562349
doi: 10.1177/0284185118780889
language_elements: English
lyricists_name: Ganeshan, Balaji
lyricists_id: BGANE86
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Acta Radiologica
volume: 60
number: 3
pagerange: 356-366
event_location: England
issn: 1600-0455
citation:        Skogen, K;    Schulz, A;    Helseth, E;    Ganeshan, B;    Dormagen, JB;    Server, A;      (2019)    Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis.                   Acta Radiologica , 60  (3)   pp. 356-366.    10.1177/0284185118780889 <https://doi.org/10.1177/0284185118780889>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/31/Ganeshan_Texture%20analysis%20on%20diffusion%20tensor%20imaging.pdf
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/3/Texture%20analysis%20Figure%201.jpg
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/8/Texture%20analysis%20Figure%202.jpg
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/13/Texture%20analysis%20Figure%203.jpg
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/18/Texture%20analysis%20Figure%204.jpg
document_url: https://discovery.ucl.ac.uk/id/eprint/10054586/23/Texture%20analysis%20Figure%205.jpg