Philips Research North America, 345 Scarborough Rd, Briarcliff Manor, NY 10510, USA.
AJR Am J Roentgenol. 2013 Feb;200(2):277-83. doi: 10.2214/AJR.12.8718.
The purpose of this article is to evaluate the performance of radiologists using a prototype clinical decision support system to diagnose and manage patients with breast cancer based on dynamic contrast-enhanced MRI studies.
The study was conducted with three breast radiologists and two breast imaging fellows who gave patient treatment recommendations and confidence ratings, both without and with computer aid. The computer aid presented similar cases from a retrieval database of 192 lesions (96 malignant and 96 benign) for a test set of 97 mass lesions (46 malignant and 51 benign). The performance of each observer was quantified by receiver operating characteristic analysis. The radiologists' confidence in their recommendations was analyzed with respect to the query case pathologic diagnosis, perceived usefulness of the similar cases, and the accuracy of the computer in retrieving cases of the correct diagnosis. The statistical significance in the performance measure differences was determined by using a two-tailed Student t test for paired data.
For each observer, the area under the receiver operating characteristic curve did not change significantly with the use of the computer aid (from a mean of 0.8 to a mean of 0.8; p = 0.61). The average confidence of three of the five observers increased significantly with the computer aid (from 5.9 to 6.3 [p < 0.001], from 7.0 to 7.2 [p = 0.04], and from 4.4 to 5.4 [p < 0.001], respectively). The confidence change of the radiologists was more frequent and larger for malignant lesions where the computer was correct. However, for benign lesions, even when the computer was correct, the confidence of the radiologists did not necessarily change.
The presentation of similar cases reinforced radiologists' confidence rating in the diagnosis of malignant lesions; however, it did not change their confidence rating for benign lesions or reduce the number of unnecessary biopsies in managing patients with breast cancer using dynamic contrast-enhanced MRI under the limited study conditions.
本文旨在评估放射科医生使用原型临床决策支持系统根据动态对比增强 MRI 研究诊断和管理乳腺癌患者的表现。
本研究纳入了 3 名乳腺放射科医生和 2 名乳腺影像研究员,他们在没有和有计算机辅助的情况下提供了患者的治疗建议和置信度评分。计算机辅助为 97 个肿块病变(46 个恶性和 51 个良性)的测试集呈现了来自 192 个病变(96 个恶性和 96 个良性)检索数据库的相似病例。每位观察者的表现通过接受者操作特征分析进行量化。分析了放射科医生对其建议的信心与查询病例病理诊断、对相似病例的感知有用性以及计算机对正确诊断病例的检索准确性之间的关系。使用双侧配对数据学生 t 检验确定性能测量差异的统计显著性。
对于每位观察者,使用计算机辅助时,接受者操作特征曲线下的面积没有显著变化(从平均 0.8 变为平均 0.8;p=0.61)。五位观察者中的三位的平均信心显著增加了计算机辅助(从 5.9 变为 6.3[ p <0.001],从 7.0 变为 7.2[ p =0.04],从 4.4 变为 5.4[ p <0.001])。对于计算机正确的恶性病变,放射科医生的信心变化更频繁且更大。然而,对于良性病变,即使计算机正确,放射科医生的信心也不一定会改变。
在有限的研究条件下,呈现相似病例增强了放射科医生对恶性病变诊断的置信度评分;然而,这并没有改变他们对良性病变的置信度评分,也没有减少管理乳腺癌患者使用动态对比增强 MRI 时不必要的活检数量。