Näppi Janne J, Kim Se Hyung, Yoshida Hiroyuki
Department of Radiology of Harvard Medical School, 25 New Chardon Street, Suite 400C, Boston, MA 02114, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3740-3. doi: 10.1109/EMBC.2012.6346780.
Noncathartic computed tomographic colonography (CTC) could significantly increase patient adherence to colorectal screening guidelines. However, radiologists find the interpretation of noncathartic CTC images challenging. We developed a fully automated computer-aided detection (CAD) scheme for assisting radiologists with noncathartic CTC. A volumetric method is used to detect lesions within a thick target region encompassing the colonic wall. Dual-energy CTC (DE-CTC) is used to provide more detailed information about the colon than what is possible with conventional CTC. False-positive detections are reduced by use of a random-forest classifier. The effect of the thickness of the target region on detection performance was assessed by use of 22 clinical noncathartic DE-CTC studies including 27 lesions ≥6 mm. The results indicate that the thickness parameter can have significant effect on detection accuracy. Leave-one-patient-out evaluation indicated that the proposed CAD scheme detects colorectal lesions at high accuracy in noncathartic CTC.
非清肠计算机断层结肠成像（CTC）可显著提高患者对结直肠癌筛查指南的依从性。然而，放射科医生发现解读非清肠CTC图像具有挑战性。我们开发了一种全自动计算机辅助检测（CAD）方案，以协助放射科医生解读非清肠CTC图像。采用体积法在包含结肠壁的厚目标区域内检测病变。双能CTC（DE-CTC）用于提供比传统CTC更详细的结肠信息。通过使用随机森林分类器减少假阳性检测。通过对22项临床非清肠DE-CTC研究（包括27个≥6mm的病变）进行分析，评估目标区域厚度对检测性能的影响。结果表明，厚度参数对检测准确性有显著影响。留一患者法评估表明，所提出的CAD方案在非清肠CTC中能高精度地检测结直肠病变。
