医学
前列腺癌
磁共振成像
组织病理学
卡帕
核医学
活检
前列腺
放射科
放射治疗
科恩卡帕
病态的
有效扩散系数
磁共振弥散成像
癌症
病理
内科学
语言学
哲学
机器学习
计算机科学
作者
E. Alexander,Julia Murray,Veronica A. Morgan,Sharon Giles,Sophie F. Riches,Stephen Hazell,Karen Thomas,S.A. Sohaib,Alan Thompson,A. Gao,David P. Dearnaley,Nandita M. deSouza
标识
DOI:10.1016/j.radonc.2019.07.030
摘要
Background and purposeTo assess the diagnostic accuracy and inter-observer agreement of T2-weighted (T2W) and diffusion-weighted (DW) magnetic resonance imaging (MRI) for mapping intra-prostatic tumour lesions (IPLs) for the purpose of focal dose-escalation in prostate cancer radiotherapy.Materials and methodsTwenty-six men selected for radical treatment with radiotherapy were recruited prospectively and underwent pre-treatment T2W+DW-MRI and 5 mm spaced transperineal template-guided mapping prostate biopsies (TTMPB). A 'traffic-light' system was used to score both data sets. Radiologically suspicious lesions measuring ≥0.5 cm3 were classified as red; suspicious lesions 0.2–0.5 cm3 or larger lesions equivocal for tumour were classified as amber. The histopathology assessment combined pathological grade and tumour length on biopsy (red = ≥4 mm primary Gleason grade 4/5 or ≥6 mm primary Gleason grade 3). Two radiologists assessed the MRI data and inter-observer agreement was measured with Cohens' Kappa co-efficient.ResultsTwenty-five of 26 men had red image-defined IPLs by both readers, 24 had red pathology-defined lesions. There was a good correlation between lesions ≥0.5 cm3 classified "red" on imaging and "red" histopathology in biopsies (Reader 1: r = 0.61, p < 0.0001, Reader 2: r = 0.44, p = 0.03). Diagnostic accuracy for both readers for red image-defined lesions was sensitivity 85–86%, specificity 93–98%, positive predictive value (PPV) 79–92% and negative predictive value (NPV) 96%. Inter-observer agreement was good (Cohen's Kappa 0.61).ConclusionsMRI is accurate for mapping clinically significant prostate cancer; diffusion-restricted lesions ≥0.5 cm3 can be confidently identified for radiation dose boosting.
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