Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans

被引:28
作者
Armato, SG
Oxnard, GR
Kocherginsky, M
Vogelzang, NJ
Kindler, HL
MacMahon, H
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
[2] Univ Chicago, Dept Hlth Studies, Chicago, IL 60637 USA
[3] Univ Chicago, Dept Med, Chicago, IL 60637 USA
[4] Nevada Canc Inst, Las Vegas, NV USA
关键词
computer-aided diagnosis (CAD); malignant pleural mesothelioma; tumor measurement; computed tomography; image processing;
D O I
10.1016/j.acra.2005.05.021
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
Rationale and Objectives. To evaluate the clinical acceptability of semiautomated methods for the measurement of mesothelioma tumor thickness in computed tomography (CT) scans. Materials and Methods. A computer interface was developed to allow the acquisition of semiautomated mesothelioma tumor thickness measurements, which require the manual selection of a point along the outer margin of the tumor in a CT section. After application of an automated lung segmentation method, the computer automatically identifies a corresponding point along the inner margin of the tumor (as represented by the lung boundary), constructs a line segment between the manually selected outer tumor margin point and the computer-determined inner tumor margin point, and computes tumor thickness as the length of this line segment. Three radiologists and oncologists independently reviewed line segments representing the semiautomated measurements generated by three different algorithms at 134 measurement sites in the CT scans of 22 mesothelioma patients. The observers either accepted a measurement line segment or modified it through the interface. Differences between the initial semiautomated measurements and the measurements as modified by the observers were analyzed. Results. The frequency with which observers accepted the semiautomated measurements without modification was as high as 86%. Of all measurements across all observers and methods (1,206 measurements), 89% were changed by 2 mm or less. Conclusion. We have developed semiautomated methods to measure mesothelioma tumor thickness. The potential of these methods has been demonstrated through an observer study. We expect these methods to become important tools for the efficient quantification of tumor extent.
引用
收藏
页码:1301 / 1309
页数:9
相关论文
共 17 条
[1]  
ANTMAN KH, 2001, PRINCIPLES PRACTICE, P1943
[2]   Automated lung segmentation for thoracic CT: Impact on computer-aided diagnosis [J].
Armato, SG ;
Sensakovic, WF .
ACADEMIC RADIOLOGY, 2004, 11 (09) :1011-1021
[3]   Measurement of mesothelioma on thoracic CT scans: A comparison of manual and computer-assisted techniques [J].
Armato, SG ;
Oxnard, GR ;
MacMahon, H ;
Vogelzang, NJ ;
Kindler, HL ;
Kocherginsky, M ;
Starkey, A .
MEDICAL PHYSICS, 2004, 31 (05) :1105-1115
[4]   Automated detection of lung nodules in CT scans: Preliminary results [J].
Armato, SG ;
Giger, ML ;
MacMahon, H .
MEDICAL PHYSICS, 2001, 28 (08) :1552-1561
[5]  
CONNELLY RR, 1987, JNCI-J NATL CANCER I, V78, P1053
[6]   Staging of malignant pleural mesothelioma: Comparison of CT and MR imaging [J].
Heelan, RT ;
Rusch, VW ;
Begg, CB ;
Panicek, DM ;
Caravelli, JF ;
Eisen, C .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1999, 172 (04) :1039-1047
[7]   Measuring response in solid tumors: Unidimensional versus bidimensional measurement [J].
James, K ;
Eisenhauer, E ;
Christian, M ;
Terenziani, M ;
Vena, D ;
Muldal, A ;
Therasse, P .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1999, 91 (06) :523-528
[8]   MALIGNANT PLEURAL MESOTHELIOMA - CT MANIFESTATIONS IN 50 CASES [J].
KAWASHIMA, A ;
LIBSHITZ, HI .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1990, 155 (05) :965-969
[9]   CT IN DIFFERENTIAL-DIAGNOSIS OF DIFFUSE PLEURAL DISEASE [J].
LEUNG, AN ;
MULLER, NL ;
MILLER, RR .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1990, 154 (03) :487-492
[10]   The role of imaging in malignant pleural mesothelioma [J].
Marom, EM ;
Erasmus, JJ ;
Pass, HI ;
Patz, EF .
SEMINARS IN ONCOLOGY, 2002, 29 (01) :26-35