A Method to Quantify Breast MRI for Predicting Tumor Invasion in Patients with Preoperative Biopsy- Proven Ductal Carcinoma in Situ (DCIS).
10.13104/jksmrm.2013.17.2.73
- Author:
Myung Su KO
1
;
Sung Hun KIM
;
Bong Joo KANG
;
Byung Gil CHOI
;
Byung Joo SONG
;
Eun Suk CHA
;
Atilla Peter KIRALY
;
In Seong KIM
Author Information
1. Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea. rad-ksh@catholic.ac.kr
- Publication Type:Original Article
- Keywords:
Magnetic resonance imaging;
Carcinoma in situ;
Quantitative parameter
- MeSH:
Breast;
Carcinoma in Situ;
Carcinoma, Ductal;
Carcinoma, Intraductal, Noninfiltrating;
Diffusion;
Humans;
Lymphokines;
Magnetic Resonance Imaging;
Multivariate Analysis;
Odds Ratio;
Thymine Nucleotides
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2013;17(2):73-82
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: To determine the quantitative parameters of breast MRI that predict tumor invasion in biopsy-proven DCIS. MATERIALS AND METHODS: From January 2009 to March 2010, 42 MRI examinations of 41 patients with biopsy-proven DCIS were included. The quantitative parameters, which include the initial percentage enhancement (E1), peak percentage enhancement (E(peak)), time to peak enhancement (TTP), signal enhancement ratio (SER), arterial enhancement fraction (AEF), apparent diffusion coefficient (ADC) value, long diameter and the volume of the lesion, were calculated as parameters that might predict invasion. Univariate and multivariate analyses were used to identify the parameters associated with invasion. RESULTS: Out of 42 lesions, 23 lesions were confirmed to be invasive ductal carcinoma (IDC) and 19 lesions were confirmed to be pure DCIS. Tumor size (p = 0.003; 6.5 +/- 3.2 cm vs. 3.6 +/- 2.6 cm, respectively) and SER (p = 0.036; 1.1 +/- 0.3 vs. 0.9 +/- 0.3, respectively) showed statistically significant high in IDC. In contrast, E1, Epeak, TTP, ADC, AEF and volume of the lesion were not statistically significant. Tumor size and SER had statistically significant associations with invasion, with an odds ratio of 1.04 and 22.93, respectively. CONCLUSION: Of quantitative parameters analyzed, SER and the long diameter of the lesion could be specific parameter for predicting invasion in the biopsy-proven DCIS.
