Characteristics of 3.0T dynamic contrast-enhanced magnetic resonance imaging of lung cancer and its correlation with microvessel density.
- Author:
Qing CHANG
1
;
Ning WU
;
Han OUYANG
;
Shuang-Mei ZOU
;
Yao HUANG
Author Information
- Publication Type:Journal Article
- MeSH: Adenocarcinoma; blood supply; diagnosis; Adult; Aged; Carcinoma, Squamous Cell; blood supply; diagnosis; Contrast Media; Female; Humans; Image Enhancement; methods; Lung Neoplasms; blood supply; diagnosis; Magnetic Resonance Imaging; methods; Male; Microvessels; pathology; Middle Aged; Neovascularization, Pathologic; diagnosis
- From: Acta Academiae Medicinae Sinicae 2009;31(2):242-247
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo explore the characteristics of 3.0T dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging of lung cancer and its correlation with microvessel density (MVD).
METHODSThirty-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.