Evaluation of spectral selected press sequence in breast lesion characterization.
- Author:
Hong LU
1
;
Pei-Fang LIU
;
Run-Xian BAO
;
Fei SUN
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Aged, 80 and over; Breast Neoplasms; diagnosis; pathology; Carcinoma, Ductal, Breast; diagnosis; pathology; Choline; Female; Fibroadenoma; diagnosis; pathology; Fibrocystic Breast Disease; diagnosis; pathology; Humans; Image Enhancement; Lymphatic Metastasis; Magnetic Resonance Imaging; methods; Magnetic Resonance Spectroscopy; methods; Middle Aged; Sensitivity and Specificity
- From: Chinese Medical Sciences Journal 2006;21(4):265-269
- CountryChina
- Language:English
-
Abstract:
OBJECTIVETo evaluate the role of 1H spetral selected point-resolved spectroscopy (SS-PRESS) sequence in distinguishing benign from malignant breast lesions by the malignancy marker of choline peak and to investigate the factors influencing the diagnosis.
METHODSA total of 131 patients (aged 24-83 years, average 44.8 years) were enrolled in this study. The examinations were performed on a 1. 5T scanner with four-channel phased array breast coil. Single-voxel proton magnetic resonance spectroscopy (1H MRS) was acquired by SS-PRESS sequence in these patients referred to surgical or biopsy consultation.
RESULTSAmong these patients, 74 were proved to have breast carcinomas and 57 have benign lesions by histopathological examinations. Thirty-one elevated choline peaks were observed in these 74 confirmed malignant lesions, and 5 detectable choline peaks were demonstrated in the 57 benign lesions. The sensitivity and specificity of 1H SS-PRESS MRS were 41.9% and 91.2%, respectively. The main factors influencing the diagnosis were signal-to-noise ratio and pathological type.
CONCLUSIONS1H SS-PRESS MRS can provide a noninvasive, biochemical measurement of metabolism and improve the specificity of breast magnetic resonance imaging. Choline peak in vivo is a specific but not sensitive marker of malignancy. Technique factors and histopathological characterization of lesions influence the detection rate.