Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry

被引:6
作者
Ayumu Funaki
Masaki Ohkubo
Shinichi Wada
Kohei Murao
Toru Matsumoto
Shinji Niizuma
机构
[1] Graduate School of Health Sciences, Niigata University, Chuo-ku, Niigata 951-8518
[2] Fujitsu, Ltd, Tokyo
[3] Kensei Clinic, Chiba
[4] Plaka Health Care Center, Niigata
基金
日本学术振兴会;
关键词
Computed tomography (CT); Computer-aided diagnosis (CAD; Point spread function (PSF); Slice sensitivity profile (SSP); Volumetry;
D O I
10.1007/s12194-012-0150-9
中图分类号
学科分类号
摘要
With the wide dissemination of computed tomography (CT) screening for lung cancer, measuring the nodule volume accurately with computer-aided volumetry software is increasingly important. Many studies for determining the accuracy of volumetry software have been performed using a phantom with artificial nodules. These phantom studies are limited, however, in their ability to reproduce the nodules both accurately and in the variety of sizes and densities required. Therefore, we propose a new approach of using computer-simulated nodules based on the point spread function measured in a CT system. The validity of the proposed method was confirmed by the excellent agreement obtained between computer-simulated nodules and phantom nodules regarding the volume measurements. A practical clinical evaluation of the accuracy of volumetry software was achieved by adding simulated nodules onto clinical lung images, including noise and artifacts. The tested volumetry software was revealed to be accurate within an error of 20 % for nodules[5 mm and with the difference between nodule density and background (lung) (CT value) being 400-600 HU. Such a detailed analysis can provide clinically useful information on the use of volumetry software in CT screening for lung cancer. We concluded that the proposed method is effective for evaluating the performance of computer-aided volumetry software. © Japanese Society of Radiological Technology and Japan Society of Medical Physics 2012.
引用
收藏
页码:166 / 171
页数:5
相关论文
共 31 条
  • [1] Boyle P., Levin B., International Agency For Research On Cancer- WHO: World Cancer Report 2008, (2008)
  • [2] Henschke C.I., Yankelevitz D.F., Libby D.M., Pasmantier M.W., Smith J.P., Miettinen O.S., Survival of patients with stage i lung cancer detected on ct screening, N Engl J Med, 355, pp. 1763-1771, (2006)
  • [3] Aberle D.R., Adams A.M., Berg C.D., Black W.C., Clapp J.D., Fagerstrom R.M., Gareen I.F., Gatsonis C., Marcus P.M., Sicks J.D., Reduced lungcancer mortality with low-dose computed tomographic screening, N Engl J Med, 365, pp. 395-409, (2011)
  • [4] Welch H.G., Black W.C., Overdiagnosis in cancer, J Natl Cancer Inst, 102, pp. 605-13, (2010)
  • [5] Henschke C.I., Shaham D., Yankelevitz D.F., Kramer A., Kostis W.J., Reeves A.P., Vazquez M., Koizumi J., Miettinen O.S., Ct screening for lung cancer significance of diagnoses in its baseline cycle, Clin Imaging, 30, pp. 11-5, (2006)
  • [6] Lindell R.M., Hartman T.E., Swensen S.J., Jett J.R., Midthun D.E., Tazelaar H.D., Mandrekar J.N., Five-year lung cancer screening experience: Ct appearance, growth rate, location, and histologic features of 61 lung cancers, Radiology, 242, pp. 555-62, (2007)
  • [7] Oda S., Awai K., Murao K., Ozawa A., Utsunomiya D., Yanaga Y., Kawanaka K., Yamashita Y., Volume-doubling time of pulmonary nodules with ground glass opacity at multidetector ct: Assessment with computer-aided three-dimensional volumetry, Acad Radiol, 18, pp. 63-9, (2011)
  • [8] Marten K., Engelke C., Computer-aided detection and automated ct volumetry of pulmonary nodules, Eur Radiol, 17, pp. 888-901, (2007)
  • [9] Marchiano A., Calabro E., Civelli E., Di Tolla G., Frigerio L.F., Morosi C., Tafaro F., Ferri E., Sverzellati N., Camerini T., Mariani L., Lo Vullo S., Pastorino U., Pulmonary nodules: Volume repeatability at multidetector ct lung cancer screening, Radiology, 251, pp. 919-25, (2009)
  • [10] Knoss N., Hoffmann B., Fabel M., Wiese C., Jochens A., Bolte H., Heller M., Biederer J., Lung nodule assessment in computed tomography: Precision of attenuation measurement based on computer-aided volumetry, Rofo, 181, pp. 1151-6, (2009)