The Role of Dynamic CT for the Differential Diagnosis of Solitary Pulmonary Nodule / 영남의대학술지
Yeungnam University Journal of Medicine
;
: 102-107, 2008.
Article
in Korean
| WPRIM
| ID: wpr-11328
ABSTRACT
BACKGROUND:
Malignant pulmonary nodules account for 30 to 40 percent of all solitary pulmonary nodules (SPNs). Therefore, characterization of SPNs is very important for treatment. Recently, dynamic CT has been widely used for tissue characterization and formation of differential diagnoses. The purpose of this study was to evaluate the ability of dynamic CT to formulate the differential diagnosis of SPNs. MATERIALS ANDMETHODS:
Nineteen patients with SPNs underwent dynamic CT (unenhanced scans, followed by a series of images at 20, 40, 60, 80, 100, 120, 140, 160, and 180 sec after intravenous injection of contrast medium). Diagnosis of SPN was performed based on pathologic findings in needle biopsy samples. Peak enhancement, net enhancement, slope of enhancement, and maximum relative enhancement ratio of the SPN were measured on dynamic CT, and Levene's test was performed to assess benignancy and malignancy.RESULTS:
Twelve SPNs were confirmed to have malignant pathology. There were no significant differences between benign and malignant nodules with respect to peak enhancement (p=0.787), net enhancement (p=0.135), or slope of enhancement (p=0.698). The maximal enhancement ratio was increased in malignancy compared to benignancy, but the difference was not statistically significant (p=0.094).CONCLUSION:
In our study, the hemodynamic characteristics of dynamic CT were not significantly different between benign and malignant nodules. Therefore, long-term studies of larger patient samples are required to confirm our findings.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Biopsy, Needle
/
Solitary Pulmonary Nodule
/
Diagnosis, Differential
/
Hemodynamics
/
Injections, Intravenous
Type of study:
Diagnostic study
Limits:
Humans
Language:
Korean
Journal:
Yeungnam University Journal of Medicine
Year:
2008
Type:
Article
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