Quantitative vs Qualitative analysis of breast lesions on dynamic contrast-enhanced Magnetic Resonance Imaging.
[BACKGROUND] Dynamic contrast enhancement-magnetic resonance imaging (DCE-MRI) is becoming increasingly significant for identifying and characterizing breast lesions.
- Specificity 75%
- 연구 설계 cross-sectional
APA
Kaur N, Kakkera S, et al. (2026). Quantitative vs Qualitative analysis of breast lesions on dynamic contrast-enhanced Magnetic Resonance Imaging.. La Clinica terapeutica, 177(1), 74-82. https://doi.org/10.7417/CT.2026.1977
MLA
Kaur N, et al.. "Quantitative vs Qualitative analysis of breast lesions on dynamic contrast-enhanced Magnetic Resonance Imaging.." La Clinica terapeutica, vol. 177, no. 1, 2026, pp. 74-82.
PMID
41525116
Abstract
[BACKGROUND] Dynamic contrast enhancement-magnetic resonance imaging (DCE-MRI) is becoming increasingly significant for identifying and characterizing breast lesions. It can also provide insight into functional parameters, such as enhancement kinetics and tissue perfusion parameters, including Ktrans, Ve, and Kep.
[AIM] This study explores the role of both qualitative and quantitative analyses of DCE-MRI in enhancing diagnostic accuracy for distin-guishing between benign and malignant breast lesions, contributing to more precise breast cancer diagnosis and management.
[MATERIALS AND METHODS] This single-center cross-sectional study was performed on 47 patients with breast lesions. MRI Breast was performed on a closed 3T MRI scanner equipped with a dedicated 18-channel breast coil. MRI study protocol included conventional Breast MRI and DCE sequences. Statistical analysis was performed using the SPSS statistics software package version 28.0.
[RESULTS] A total of 47 patients, with an age range of 17 to 70 years old, were included in the study. The sensitivity of kinetic curve analysis was 94.74 %, specificity of 75%, positive predictive value of 72 %, and negative predictive value of 95.45 % to distinguish benign and mali-gnant breast lesions. The mean Ktrans value of benign breast lesions was 0.447+1.55/min and 0.496+1.08 / min (p-value <0.04) for malignant lesions. The mean Kep value of benign breast lesions was 2.984+8.27/ min, and for malignant lesions was 3.424+8.70/ min (p-value <0.008). The mean Ve value did not show a significant value in distinguishing benign and malignant breast lesions (p-value <0.386). Kep cut-off value at 0.279 and Ktrans cut-off value at 0.73 depicted the highest area under the curve (AUC).
[CONCLUSIONS] Integrating qualitative and quantitative data provides a more comprehensive understanding of breast lesions, ultimately leading to more accurate diagnoses and tailored treatment strategies.
[AIM] This study explores the role of both qualitative and quantitative analyses of DCE-MRI in enhancing diagnostic accuracy for distin-guishing between benign and malignant breast lesions, contributing to more precise breast cancer diagnosis and management.
[MATERIALS AND METHODS] This single-center cross-sectional study was performed on 47 patients with breast lesions. MRI Breast was performed on a closed 3T MRI scanner equipped with a dedicated 18-channel breast coil. MRI study protocol included conventional Breast MRI and DCE sequences. Statistical analysis was performed using the SPSS statistics software package version 28.0.
[RESULTS] A total of 47 patients, with an age range of 17 to 70 years old, were included in the study. The sensitivity of kinetic curve analysis was 94.74 %, specificity of 75%, positive predictive value of 72 %, and negative predictive value of 95.45 % to distinguish benign and mali-gnant breast lesions. The mean Ktrans value of benign breast lesions was 0.447+1.55/min and 0.496+1.08 / min (p-value <0.04) for malignant lesions. The mean Kep value of benign breast lesions was 2.984+8.27/ min, and for malignant lesions was 3.424+8.70/ min (p-value <0.008). The mean Ve value did not show a significant value in distinguishing benign and malignant breast lesions (p-value <0.386). Kep cut-off value at 0.279 and Ktrans cut-off value at 0.73 depicted the highest area under the curve (AUC).
[CONCLUSIONS] Integrating qualitative and quantitative data provides a more comprehensive understanding of breast lesions, ultimately leading to more accurate diagnoses and tailored treatment strategies.
MeSH Terms
Humans; Female; Adult; Middle Aged; Cross-Sectional Studies; Magnetic Resonance Imaging; Contrast Media; Aged; Breast Neoplasms; Young Adult; Adolescent; Sensitivity and Specificity