Characteristics of 3.0T dynamic contrast-enhanced magnetic resonance imaging of lung cancer and its correlation with microvessel density / 中国医学科学院学报
Acta Academiae Medicinae Sinicae
;
(6): 242-247, 2009.
Article
in Chinese
| WPRIM
| ID: wpr-259036
ABSTRACT
<p><b>OBJECTIVE</b>To explore the characteristics of 3.0T dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging of lung cancer and its correlation with microvessel density (MVD).</p><p><b>METHODS</b>Thirty-seven patients with pathologically proven lung cancer underwent DCE-MR with liver acquisition with volume acceleration sequence. DCE-MR images were acquired intermittently for a total of 4 minutes on a 3.0T MR scanner. The relative enhancing percentage (SI%) at each time point was measured. The shapes of T-SI% curves were defined as A (rapidly ascending followed by a descending branch) and B (rapidly ascending branch followed by a plateau). The early peak enhancement (SIEP%), early peak time (TEP), maximum enhancement (SIpeak%), and peak time (Tpeak) were recorded and compared according to different dimensions, locations, histological types, and differentiation grades of lung cancer. Tumour specimens were immunostained for CD31 and CD34 in ten patients who had undergone surgical resections. The enhancement values were correlated with MVD. Results The SIEP% and SIpeak% of tumors with smaller dimensions (< or = 5 cm) were significantly higher than those with larger dimensions (> 5 cm) (P = 0.014, P = 0.024). The SIEP% and SIpeak% were positively correlated with the tumor MVD. Conclusion The SIEP% and SIpeak% of lung cancer correlate with tumor dimension and can reflect MVD in tumor.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pathology
/
Magnetic Resonance Imaging
/
Image Enhancement
/
Carcinoma, Squamous Cell
/
Adenocarcinoma
/
Contrast Media
/
Diagnosis
/
Microvessels
/
Lung Neoplasms
/
Methods
Type of study:
Diagnostic study
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
Language:
Chinese
Journal:
Acta Academiae Medicinae Sinicae
Year:
2009
Type:
Article
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