当前位置： SCI文献检索 > EUROPEAN RADIOLOGY期刊下所有文献 > Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.

Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.

Abstract：

OBJECTIVES:To assess the interchangeability of zone-specific (peripheral-zone (PZ) and transition-zone (TZ)) multiparametric-MRI (mp-MRI) logistic-regression (LR) models for classification of prostate cancer. METHODS:Two hundred and thirty-one patients (70 TZ training-cohort; 76 PZ training-cohort; 85 TZ temporal validation-cohort) underwent mp-MRI and transperineal-template-prostate-mapping biopsy. PZ and TZ uni/multi-variate mp-MRI LR-models for classification of significant cancer (any cancer-core-length (CCL) with Gleason > 3 + 3 or any grade with CCL ≥ 4 mm) were derived from the respective cohorts and validated within the same zone by leave-one-out analysis. Inter-zonal performance was tested by applying TZ models to the PZ training-cohort and vice-versa. Classification performance of TZ models for TZ cancer was further assessed in the TZ validation-cohort. ROC area-under-curve (ROC-AUC) analysis was used to compare models. RESULTS:The univariate parameters with the best classification performance were the normalised T2 signal (T2nSI) within the TZ (ROC-AUC = 0.77) and normalized early contrast-enhanced T1 signal (DCE-nSI) within the PZ (ROC-AUC = 0.79). Performance was not significantly improved by bi-variate/tri-variate modelling. PZ models that contained DCE-nSI performed poorly in classification of TZ cancer. The TZ model based solely on maximum-enhancement poorly classified PZ cancer. CONCLUSION:LR-models dependent on DCE-MRI parameters alone are not interchangable between prostatic zones; however, models based exclusively on T2 and/or ADC are more robust for inter-zonal application. KEY POINTS:• The ADC and T2-nSI of benign/cancer PZ are higher than benign/cancer TZ. • DCE parameters are significantly different between benign PZ and TZ, but not between cancerous PZ and TZ. • Diagnostic models containing contrast enhancement parameters have reduced performance when applied across zones.

journal_name

Eur Radiol

journal_title

European radiology

authors

Dikaios N,Alkalbani J,Abd-Alazeez M,Sidhu HS,Kirkham A,Ahmed HU,Emberton M,Freeman A,Halligan S,Taylor S,Atkinson D,Punwani S

doi

10.1007/s00330-015-3636-0

subject

Has Abstract

pub_date

2015-09-01 00:00:00

pages

2727-37

issue

eissn

0938-7994

issn

1432-1084

journal_volume

pub_type

杂志文章

在线工具

Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.