Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with oral cavity cancer?

Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with... Objective To explore the utility of MR texture analysis (MRTA) for detection of nodal extracapsular spread (ECS) in oral cavity squamous cell carcinoma (SCC). Methods 115 patients with oral cavity SCC treated with surgery and adjuvant (chemo)radiotherapy were identified retrospec- tively. First-order texture parameters (entropy, skewness and kurtosis) were extracted from tumour and nodal regions of interest (ROIs) using proprietary software (TexRAD). Nodal MR features associated with ECS (flare sign, irregular capsular contour; local infiltration; nodal necrosis) were reviewed and agreed in consensus by two experienced radiologists. Diagnostic perfor- mance characteristics of MR features of ECS were compared with primary tumour and nodal MRTA prediction using histology as the gold standard. Receiver operating characteristic (ROC) and regression analyses were also performed. Results Nodal entropy derived from contrast-enhanced T1-weighted images was significant in predicting ECS (p =0.018). MR features had varying accuracy: flare sign (70%); irregular contour (71%); local infiltration (66%); and nodal necrosis (64%). Nodal entropy combined with irregular contour was the best predictor of ECS (p = 0.004, accuracy 79%). Conclusion First-order nodal MRTA combined with imaging features may improve ECS prediction in oral cavity SCC. Key Points � Nodal MR textural analysis can aid in predicting extracapsular http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Radiology Springer Journals

Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with oral cavity cancer?

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by European Society of Radiology
Subject
Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound; Internal Medicine
ISSN
0938-7994
eISSN
1432-1084
D.O.I.
10.1007/s00330-018-5524-x
Publisher site
See Article on Publisher Site

Abstract

Objective To explore the utility of MR texture analysis (MRTA) for detection of nodal extracapsular spread (ECS) in oral cavity squamous cell carcinoma (SCC). Methods 115 patients with oral cavity SCC treated with surgery and adjuvant (chemo)radiotherapy were identified retrospec- tively. First-order texture parameters (entropy, skewness and kurtosis) were extracted from tumour and nodal regions of interest (ROIs) using proprietary software (TexRAD). Nodal MR features associated with ECS (flare sign, irregular capsular contour; local infiltration; nodal necrosis) were reviewed and agreed in consensus by two experienced radiologists. Diagnostic perfor- mance characteristics of MR features of ECS were compared with primary tumour and nodal MRTA prediction using histology as the gold standard. Receiver operating characteristic (ROC) and regression analyses were also performed. Results Nodal entropy derived from contrast-enhanced T1-weighted images was significant in predicting ECS (p =0.018). MR features had varying accuracy: flare sign (70%); irregular contour (71%); local infiltration (66%); and nodal necrosis (64%). Nodal entropy combined with irregular contour was the best predictor of ECS (p = 0.004, accuracy 79%). Conclusion First-order nodal MRTA combined with imaging features may improve ECS prediction in oral cavity SCC. Key Points � Nodal MR textural analysis can aid in predicting extracapsular

Journal

European RadiologySpringer Journals

Published: Jun 5, 2018

References

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