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肺结节的计算机辅助检测 被引量:1

Computer aided detection of pulmonary nodules
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摘要 目的:评价计算机辅助检测系统(CAD)对肺内单发结节的诊断价值。方法:从受检病人中随机抽取150例肺部直径约9~30mm单发结节的病例为试验组。所有肺结节病灶均经病理证实。另从健康体检人群中随机抽取150个年龄、性别构成与受检组相仿的病例作为对照组。两组胸片均经CT证实,并由多位放射学专家共同诊断。所有胸片均通过数字化放射成像(DR)获得。由5位高年资影像诊断医生和5位低年资影像诊断医生作为观测者分别对不用和用CAD输出图像的胸片进行诊断。观察者积分用受试者操作特性(ROC)曲线分析来衡量。结果:平均ROC曲线下面积从不用CAD输出图像的0.766到用CAD输出图像的0.833,两者有统计学显著性差异(P<0.05)。在使用CAD输出图像时,低年资影像诊断医生比高年资影像诊断医生的平均ROC曲线下面积增加的更多。结论:运用DR所配置的CAD系统能帮助影像诊断医生提高对肺结节性病灶的检出率。 Objective: To determine the effect of computer aided detection(CAD) system on the diagnosis of pulmonary nodules. Methods: One hundred and fifty cases with solitary lung nodules up to 9-30mm in diameter were examined. All nodules had been verified by means of biopsy. One hundred and fifty cases of healthy individuals were selected as control group on the basis of chest CT. All chest radiographs in the two groups were obtained with a digital radiography system. Five experienced chest radiologists and five residents detected the chest radiograph with or without CAD output images. The scales of performance was evaluated with receiver operating characteristic analysis. Result: The average area under the curve value increased significantly from 0.766 without CAD to 0.833 with CAD output images. Individually, the use of CAD output images was more useful to radiology residents than to experienced radiologist. Conclusion" This CAD system for digital radiograph can assist radiologist and has the potential to improve the detection of lung nodules.
出处 《中国临床医学影像杂志》 CAS 北大核心 2006年第3期148-150,153,共4页 Journal of China Clinic Medical Imaging
关键词 硬币病变 图像处理 计算机辅助 coin lesion, pulmonary image processing, computer-assisted
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参考文献8

  • 1MacMahon H,Engelmann R,Behlen FM,et al.Computeraided Diagnosis of Pulmonary Nodules:Rusults of aLarge-scale Observer Test[J].Radiology,1999,213:723-726.
  • 2Kakeda S,Moriya J,Sato H,et al.Improved detection of lung nodules on chest radiographs using a commercial computeraided diagnosis system[J].A JR,2004,182(2):505-510.
  • 3段刚,陈卫国,王江云,黄信华,王勇,卢伟.数字化放射成像与普通X线诊断肺内单发结节的ROC曲线评价[J].第一军医大学学报,2003,23(6):621-623. 被引量:10
  • 4Kullendorff B,Petersson K,Rohlin M.Direct digital radiograpgy for the detection of periapical bone lesions:a clinical study[J].Endod Dent Traumatol,1997,13(4):183-189.
  • 5袁聿德 冯树理.X线诊断影像质量评价进展[J].中华放射学杂志,1997,31:80-82.
  • 6Burgess AE.Comparison of receiver operating characteristic and forced choice observer performance measurement method[J].Med Physics,1995,22(3):643.
  • 7Wormanns D,Beyer F,Diederich S,et al.Diagnostic Performance of a Commercially Available Computer-aided Diagnosis System for Automatic Detection of Pulmonary Nodules:Comparison with Single and Double Reading[J].Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr,2004,176(7):953-958.
  • 8McCulloch CC,Kaucic RA,Mendonca PR,et al.Modelbased detection of lung nodules in computed tomography exams.Thoracic computer-aided diagnosis[J].Acad Radiol,2004,11 (3):258-266.

二级参考文献8

  • 1[1]Paurazas SB, Geist JR, Pink FE, et al. Comparison of diagnostic accuracy of digital imaging by using CCD and CMOS-APS sensors with E-speed film in the detection of periapical bone lesions [J]. Oral Surg Oral Med Oral Pathol Oral Radiol Endod, 2000, 89(3): 356-62.
  • 2[2]Hanley JA, Mencil BJ. The meaning and use of the area under a recei ver operating characteristic (ROC) curve [J]. Radiology, 1982, 143 (1): 29-36.
  • 3[3]Johkoh T, Kozuka T, Tomiyama. Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation acommercially available computer-aided diagnosis system [J]. Radiology, 2002, 223(3): 806-11.
  • 4[4]Kullendorff B, Petersson K, Rohlin M. Direct digital radiography for the detection ofperiapical bone lesions: a clinical study[J]. Endod Dent Traumatol, 1997, 13(4): 183-9.
  • 5[7]Lawrence R, Goodman MD, Foley WD, et al. Digital and conven tional chest images: observer performance with film digital radiography system[J]. Radiology, 1986, 158(1): 27-33.
  • 6[8]Austin JH, Romney BM, Goldsmith LS. Missed bronchogenic carci noma: radiographic findings in 27 patients with a potentially respec table lesion evident in retrospect [J]. Radiology, 1992, 182 (1): 115-22.
  • 7[9]Kundel HL, Revesz G. Lesion conspicuity, structured noise, and filmreader error[J]. AJR Am J Roentgenol, 1976, 126(6): 1233-8.
  • 8[10]Sherrier RH, Chiles C, Johnson GA, et ad. Differentiation of benign from malignant pulmonary nodules with digitized chest radiographs [J]. Radiology, 1987, 162(3): 645-9.

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