TY - JOUR
T1 - Kinetic features of invasive breast cancers on computer-aided diagnosis using 3T MRI data
T2 - Correlation with clinical and pathologic prognostic factors
AU - Song, Sung Eun
AU - Cho, Kyu Ran
AU - Seo, Bo Kyoung
AU - Woo, Ok Hee
AU - Jung, Seung Pil
AU - Sung, Deuk Jae
N1 - Publisher Copyright:
© 2019, The Korean Society of Radiology.
PY - 2019/3
Y1 - 2019/3
N2 - Objective: To investigate the correlation of kinetic features of breast cancers on computer-aided diagnosis (CAD) of preoperative 3T magnetic resonance imaging (MRI) data and clinical-pathologic factors in breast cancer patients. Materials and Methods: Between July 2016 and March 2017, 85 patients (mean age, 54 years; age range, 35-81 years) with invasive breast cancers (mean, 1.8 cm; range, 0.8-4.8 cm) who had undergone MRI and surgery were retrospectively enrolled. All magnetic resonance images were processed using CAD, and kinetic features of tumors were acquired. The relationships between kinetic features and clinical-pathologic factors were assessed using Spearman correlation test and binary logistic regression analysis. Results: Peak enhancement and angio-volume were significantly correlated with histologic grade, Ki-67 index, and tumor size: r = 0.355 (p = 0.001), r = 0.330 (p = 0.002), and r = 0.231 (p = 0.033) for peak enhancement, r = 0.410 (p = 0.005), r = 0.341 (p < 0.001), and r = 0.505 (p < 0.001) for angio-volume. Delayed-plateau component was correlated with Ki-67 (r = 0.255 [p = 0.019]). In regression analysis, higher peak enhancement was associated with higher histologic grade (odds ratio [OR] = 1.004; 95% confidence interval [CI]: 1.001-1.008; p = 0.024), and higher delayed-plateau component and angio-volume were associated with higher Ki-67 (OR = 1.051; 95% CI: 1.011-1.094; p = 0.013 for delayed-plateau component, OR = 1.178; 95% CI: 1.023-1.356; p = 0.023 for angio-volume). Conclusion: Of the CAD-assessed kinetic features, higher peak enhancement may correlate with higher histologic grade, and higher delayed-plateau component and angio-volume correlate with higher Ki-67 index. These results support the clinical application of kinetic features in prognosis assessment.
AB - Objective: To investigate the correlation of kinetic features of breast cancers on computer-aided diagnosis (CAD) of preoperative 3T magnetic resonance imaging (MRI) data and clinical-pathologic factors in breast cancer patients. Materials and Methods: Between July 2016 and March 2017, 85 patients (mean age, 54 years; age range, 35-81 years) with invasive breast cancers (mean, 1.8 cm; range, 0.8-4.8 cm) who had undergone MRI and surgery were retrospectively enrolled. All magnetic resonance images were processed using CAD, and kinetic features of tumors were acquired. The relationships between kinetic features and clinical-pathologic factors were assessed using Spearman correlation test and binary logistic regression analysis. Results: Peak enhancement and angio-volume were significantly correlated with histologic grade, Ki-67 index, and tumor size: r = 0.355 (p = 0.001), r = 0.330 (p = 0.002), and r = 0.231 (p = 0.033) for peak enhancement, r = 0.410 (p = 0.005), r = 0.341 (p < 0.001), and r = 0.505 (p < 0.001) for angio-volume. Delayed-plateau component was correlated with Ki-67 (r = 0.255 [p = 0.019]). In regression analysis, higher peak enhancement was associated with higher histologic grade (odds ratio [OR] = 1.004; 95% confidence interval [CI]: 1.001-1.008; p = 0.024), and higher delayed-plateau component and angio-volume were associated with higher Ki-67 (OR = 1.051; 95% CI: 1.011-1.094; p = 0.013 for delayed-plateau component, OR = 1.178; 95% CI: 1.023-1.356; p = 0.023 for angio-volume). Conclusion: Of the CAD-assessed kinetic features, higher peak enhancement may correlate with higher histologic grade, and higher delayed-plateau component and angio-volume correlate with higher Ki-67 index. These results support the clinical application of kinetic features in prognosis assessment.
KW - Breast Neoplasms
KW - Computer-aided diagnosis (CAD)
KW - Kinetic feature
KW - MRI
KW - Prognostic factor
UR - http://www.scopus.com/inward/record.url?scp=85062063484&partnerID=8YFLogxK
U2 - 10.3348/kjr.2018.0587
DO - 10.3348/kjr.2018.0587
M3 - Article
C2 - 30799572
AN - SCOPUS:85062063484
SN - 1229-6929
VL - 20
SP - 411
EP - 421
JO - Korean Journal of Radiology
JF - Korean Journal of Radiology
IS - 3
ER -