Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with oral cavity cancer?
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 retrospectively. First-order...
| Publicado en: | European Radiology Vol. 28; no. 12; pp. 5010 - 5019 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132881024&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132881024 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2018 vid: 28 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132881024 132881024 NLM29872911 10.1007/s00330-018-5524-x NLM29872911 132881024 ppf: 5010 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with oral cavity cancer? aug: au: Frood, Russell Palkhi, Ebrahim Barnfield, Mark Prestwich, Robin Vaidyanathan, Sriram Scarsbrook, Andrew affil: Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK sug: subj: Neoplasm Staging Lymph Nodes Pathology Mouth Neoplasms Pathology Magnetic Resonance Imaging Methods Carcinoma, Squamous Cell Male Carcinoma, Squamous Cell Diagnosis Aged Female Retrospective Design Adult ROC Curve Carcinoma, Squamous Cell Therapy Middle Age Combined Modality Therapy Neoplasm Metastasis Mouth Neoplasms Therapy Predictive Value of Tests Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: 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 retrospectively. 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 performance 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 spread (ECS). • Medium filter contrast-enhanced T1 nodal entropy was strongly significant in predicting ECS. • Combining nodal entropy with irregular nodal contour improves predictive accuracy. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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