首页> 美国卫生研究院文献>Radiology >Observer Performance in the Detection and Classification of MalignantHepatic Nodules and Masses with CT Image-Space Denoising and IterativeReconstruction
【2h】

Observer Performance in the Detection and Classification of MalignantHepatic Nodules and Masses with CT Image-Space Denoising and IterativeReconstruction

机译:观察者在恶性肿瘤检测和分类中的表现CT图像空间降噪和迭代的肝结节和肿块重建

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

At a moderate level of dose reduction (to a median size-specific dose estimate [SSDE] of 12.8 mGy), there was no performance difference in the identification of malignant hepatic nodules and masses for abdominal CT examinations regardless of whether noise-reduction methods were used; however, noise-reduction methods were required for lower-dose liver and pancreas examinations (when lowering the median SSDE from 26.8 to 16.3 mGy) to demonstrate noninferior performance compared with examinations performed with routine dose levels, potentially because of the smaller CT number differences between these malignancies and the background liver.
机译:在中等剂量下(达到特定大小的中位剂量估计[SSDE]为12.8 mGy),无论是否采用降噪方法,在腹部CT检查的恶性肝结节和肿块的鉴别方面均无性能差异。用过的;但是,低剂量肝和胰腺检查(将中位数SSDE从26.8降低到16.3 mGy时)需要使用降噪方法,以证明与常规剂量水平的检查相比,其性能不逊色,这可能是因为两者之间的CT数差异较小这些恶性肿瘤和背景肝脏。

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号