Small pulmonary nodules: Volumetrically determined growth rates based on CT evaluation

被引:449
作者
Yankelevitz, DF
Reeves, AP
Kostis, WJ
Zhao, BS
Henschke, CI
机构
[1] New York Presbyterian Hosp, Weill Cornell Med Ctr, Dept Radiol, New York, NY 10021 USA
[2] Cornell Univ, Sch Elect Engn, Ithaca, NY 14853 USA
关键词
computed tomography (CT); comparative studies; experimental studies; thin-section; lung; nodule; lung neoplasms; diagnosis;
D O I
10.1148/radiology.217.1.r00oc33251
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PURPOSE: To determine the accuracy of high-resolution computed tomographic (CT) volumetric measurements of small pulmonary nodules to assess growth and malignancy status. MATERIALS AND METHODS: The accuracy of three-dimensional (3D) image extraction and isotropic resampling techniques was assessed by performing three experiments. The first experiment measured volumes in spherical synthetic nodules of two diameters (3.20 and 3.96 mm), the second measured deformable silicone synthetic nodules prior to and after their shape had been altered markedly, and the third measured nodules of various shapes and sizes. Three-dimensional techniques were used to assess growth in 13 patients for whom the final diagnosis was known and whose initial nodule diameters were less than 10 mm. By using the exponential growth model and the calculated nodule volume at two points in time, the doubling time for each subject was calculated. RESULTS: The three synthetic nodule studies revealed that the volume could be measured accurately to within +/-3%. All five malignant nodules grew, and all had doubling times less than 177 days. Some malignant nodules had asymmetric patterns of growth identified by using the 3D techniques but not the two-dimensional methods. All eight benign nodules had doubling times of 396 days or greater or showed a decrease in volume. CONCLUSION: CT volumetric measurements are highly accurate for determining volume and are useful in assessing growth of small nodules and calculating their doubling times.
引用
收藏
页码:251 / 256
页数:6
相关论文
共 19 条
  • [1] Computerized detection of pulmonary nodules on CT scans
    Armato, SG
    Giger, ML
    Moran, CJ
    Blackburn, JT
    Doi, K
    MacMahon, H
    [J]. RADIOGRAPHICS, 1999, 19 (05) : 1303 - 1311
  • [2] HYBRID LUNG NODULE DETECTION (HLND) SYSTEM
    CHIOU, YSP
    LURE, YMF
    [J]. CANCER LETTERS, 1994, 77 (2-3) : 119 - 126
  • [3] Pulmonary nodules: Experimental and clinical studies at low-dose CT
    Diederich, S
    Lenzen, H
    Windmann, R
    Puskas, Z
    Yelbuz, TM
    Henneken, S
    Klaiber, T
    Eameri, M
    Roos, N
    Peters, PE
    [J]. RADIOLOGY, 1999, 213 (01) : 289 - 298
  • [4] PULMONARY NODULES IN SPIRAL VOLUMETRIC AND SINGLE SLICE COMPUTED-TOMOGRAPHY
    FRIESE, SA
    RIEBER, A
    FLEITER, T
    BRAMBS, HJ
    CLAUSSEN, CD
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 1994, 18 (01) : 48 - 51
  • [5] THE EFFECT ON APPARENT SIZE OF SIMULATED PULMONARY NODULES OF USING 3 STANDARD CT WINDOW SETTINGS
    HARRIS, KM
    ADAMS, H
    LLOYD, DCF
    HARVEY, DJ
    [J]. CLINICAL RADIOLOGY, 1993, 47 (04) : 241 - 244
  • [6] RADIOGRAPHIC SCREENING FOR CANCER PROPOSED PARADIGM FOR REQUISITE RESEARCH
    HENSCHKE, CI
    MIETTINEN, OS
    YANKELEVITZ, DF
    LIBBY, DM
    SMITH, JP
    [J]. CLINICAL IMAGING, 1994, 18 (01) : 16 - 20
  • [7] Early Lung Cancer Action Project: overall design and findings from baseline screening
    Henschke, CI
    McCauley, DI
    Yankelevitz, DF
    Naidich, DP
    McGuinness, G
    Miettinen, OS
    Libby, DM
    Pasmantier, MW
    Koizumi, J
    Altorki, NK
    Smith, JP
    [J]. LANCET, 1999, 354 (9173) : 99 - 105
  • [8] Jain A., 1989, FUNDAMENTAL DIGITAL
  • [9] Computer-aided diagnosis for pulmonary nodules based on helical CT images
    Kanazawa, K
    Kawata, Y
    Niki, N
    Satoh, H
    Ohmatsu, H
    Kakinuma, R
    Kaneko, M
    Moriyama, N
    Eguchi, K
    [J]. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1998, 22 (02) : 157 - 167
  • [10] Lillington G A, 1991, Dis Mon, V37, P271