Al-Okaili Riyadh N, Krejza Jaroslaw, Woo John H, Wolf Ronald L, O'Rourke Donald M, Judy Kevin D, Poptani Harish, Melhem Elias R
Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Radiology. 2007 May;243(2):539-50. doi: 10.1148/radiol.2432060493.
To develop and retrospectively determine the accuracy of a magnetic resonance (MR) imaging strategy to differentiate intraaxial brain masses, with histologic findings or clinical diagnosis as the reference standard.
The study was HIPAA compliant and was approved by the institutional review board. A waiver of informed consent was obtained. A strategy was developed on the basis of conventional MR imaging, diffusion-weighted MR imaging, perfusion MR imaging, and proton MR spectroscopy to classify intraaxial masses as low-grade primary neoplasms, high-grade primary neoplasms, metastatic neoplasms, abscesses, lymphomas, tumefactive demyelinating lesions (TDLs), or encephalitis. The strategy was evaluated by using data from 111 patients (46 women, 65 men; mean age, 48.9 years) with imaging results available on a departmental picture archiving and communication system from a 5-year search period. Bayesian statistics of the strategy elements and three clinical tasks were calculated.
Search results identified 44 patients with high-grade and 14 with low-grade primary neoplasms, 24 with abscesses, 12 with lymphoma, 11 with TDLs, five with metastases, and one with encephalitis who had undergone conventional and advanced MR imaging. However, only 40 patients (25 women, 15 men; mean age, 45 years) had undergone all studies and had data to allow completion of the entire strategy. Accuracy, sensitivity, and specificity of the strategy, respectively, were 90%, 97%, and 67% for discrimination of neoplastic from nonneoplastic diseases, 90%, 88%, and 100% for discrimination of high-grade from low-grade neoplasms, and 85%, 84%, and 87% for discrimination of high-grade neoplasms and lymphoma from low-grade neoplasms and nonneoplastic diseases.
An integrated MR imaging-based strategy, which is accurate in differentiation of several intraaxial brain masses, was proposed.
制定并回顾性确定一种磁共振(MR)成像策略鉴别脑内轴内肿块的准确性,以组织学结果或临床诊断作为参考标准。
本研究符合健康保险流通与责任法案(HIPAA)要求,并获得机构审查委员会批准。已获得知情同意书豁免。基于传统MR成像、扩散加权MR成像、灌注MR成像和质子MR波谱制定了一种将轴内肿块分类为低级别原发性肿瘤、高级别原发性肿瘤、转移性肿瘤、脓肿、淋巴瘤、瘤样脱髓鞘病变(TDL)或脑炎的策略。使用来自111例患者(46例女性,65例男性;平均年龄48.9岁)的数据对该策略进行评估,这些患者在5年的搜索期内有可在部门图像存档与通信系统上获取的成像结果。计算了该策略要素和三项临床任务的贝叶斯统计量。
搜索结果确定有44例高级别原发性肿瘤患者和14例低级别原发性肿瘤患者、24例脓肿患者、12例淋巴瘤患者、11例TDL患者、5例转移瘤患者和1例脑炎患者接受了传统和高级MR成像检查。然而,只有40例患者(25例女性,15例男性;平均年龄45岁)完成了所有检查并拥有可用于完成整个策略的数据。该策略在鉴别肿瘤性疾病与非肿瘤性疾病时的准确性、敏感性和特异性分别为90%、97%和67%,在鉴别高级别肿瘤与低级别肿瘤时分别为90%、88%和100%,在鉴别高级别肿瘤和淋巴瘤与低级别肿瘤及非肿瘤性疾病时分别为85%、84%和87%。
提出了一种基于MR成像的综合策略,该策略在鉴别几种脑内轴内肿块方面具有准确性。