Thoracic Imaging 2003 - Society of Thoracic Radiology
Thoracic Imaging 2003 - Society of Thoracic Radiology
Thoracic Imaging 2003 - Society of Thoracic Radiology
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WEDNESDAY<br />
212<br />
lesions generally mimicked benign diseases and typically<br />
occurred in patients with underlying lung disease such as emphysema<br />
or fibrosis. Interestingly, despite being missed on one or<br />
more prior studies, 28 (88%) <strong>of</strong> 32 missed lesions were still<br />
Stage IA lung cancers at the time <strong>of</strong> diagnosis. In a separate<br />
study, these authors determined that an automated lung nodule<br />
detection method correctly identified 84% <strong>of</strong> missed cancers.<br />
In order to reduce the risk <strong>of</strong> missing lung cancer on CT, one<br />
should pay careful attention to both the peripheral and central<br />
portions <strong>of</strong> the lungs. Cine methods <strong>of</strong> viewing, which enhance the<br />
ability to distinguish small nodules from vascular structures,<br />
should be used in settings where they are available. Additionally,<br />
one should consider the use <strong>of</strong> sliding-thin-slab MIP images as a<br />
complement to routine axial images. Gruden et al. have recently<br />
shown that MIP slabs enhance the detection rate <strong>of</strong> nodules, especially<br />
in the central portion <strong>of</strong> the lungs. In addition to carefully<br />
inspecting the lung parenchyma, one should thoroughly evaluate<br />
the airways in order to avoid missing a nonobstructing endobronchial<br />
lesion. In the near future, it is likely that computer-aided<br />
diagnosis will play an important role in reducing lung cancer detection<br />
failures. This topic is addressed in the following lecture.<br />
REFERENCES:<br />
Armato SG, Li F, Giger ML, et al. Lung cancer: performance <strong>of</strong><br />
automated lung nodule detection applied to cancers missed in<br />
a CT screening program. <strong>Radiology</strong> 2002;225:685-692.<br />
Austin JHM, Romney BM, Goldsmith LS. Missed bronchogenic<br />
carcinoma: radiographic findings in 27 patients with a potentially<br />
respectable lesion evident in retrospect. <strong>Radiology</strong><br />
1992;182:115-122.<br />
Gruden JF, Ouanounou S, Tigges S, et al. Incremental benefit <strong>of</strong><br />
maximum-intensity-projection images on observer detection <strong>of</strong><br />
small pulmonary nodules revealed by multidetector CT. AJR<br />
2002; 179:149-157.<br />
Gurney JW. Missed lung cancer at CT: imaging findings in 9<br />
patients. <strong>Radiology</strong> 1996;199:117-122.<br />
Kakinuma R, Ohmatsu H, Kaneko M, et al. Detection failures in<br />
spiral CT screening for lung cancer: analysis <strong>of</strong> CT findings.<br />
<strong>Radiology</strong> 1999;212:61-66.<br />
Kundel HL, Nodine CF, Carmody D. Visual scanning, pattern<br />
recognition and decision-making in pulmonary nodule detection.<br />
Investigative <strong>Radiology</strong> 1978;13:175-181.<br />
Li F, Sone S, Abe H, et al. Lung cancer missed at low-dose helical<br />
CT screening in a general population: comparison <strong>of</strong> clinical,<br />
histopathologic, and imaging findings. <strong>Radiology</strong><br />
2002;225:673-683.<br />
Naidich DP, Yankelivitz DF, McGuinness G, et al. Noncalcified<br />
nodules missed on low-dose helical CT (abstr.). <strong>Radiology</strong><br />
1999;213(p):303.<br />
White CS, Romney BM, Mason AC, et al. Primary carcinoma <strong>of</strong><br />
the lung overlooked at CT: analysis <strong>of</strong> findings in 14 patients.<br />
<strong>Radiology</strong> 1996:199:109-115.<br />
White CS, Salis AI, Meyer CA. Missed lung cancer on chest radiography<br />
and CT: imaging and medicolegal issues. Journal <strong>of</strong><br />
<strong>Thoracic</strong> <strong>Imaging</strong> 1999;14:63-68.