Morphological features of mass-like non-special type of invasive breast cancer based on dynamic contrast-enhanced MRI radiomics for identifying ductal carcinoma in situ component
10.13929/j.issn.1003-3289.2024.12.011
- VernacularTitle:基于动态增强MRI影像组学形态学特征识别肿块样非特殊型浸润性乳腺癌导管原位癌成分
- Author:
Xiang WANG
1
;
Meng LI
1
;
Zhifang WANG
1
;
Yonghua HUANG
1
Author Information
1. 新乡医学院附属濮阳油田总医院放射科,河南濮阳 457001
- Publication Type:Journal Article
- Keywords:
carcinoma,ductal,breast;
magnetic resonance imaging;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2024;40(12):1856-1860
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of morphological features of mass-like non-special type of invasive breast cancer(IBC-NST)based on dynamic contrast-enhanced MRI(DCE-MRI)radiomics alone and their combinations for identifying ductal carcinoma in situ(DCIS)components.Methods Sixty-seven patients with mass-like IBC-NST were retrospectively collected.According to postoperative pathological findings,28 patients with 34 lesions were clustered into ductal carcinoma in situ component(DCISC)group,while the other 39 patients with 40 lesions were clustered into non-DCISC group.Fourteen parameters of morphological features within mass-like IBC-NST lesions were extracted from the 2nd phase axial images of breast DCE-MRI using radiomics analysis,and then MRI characteristics and morphological feature parameters were compared between groups.Multivariate logistic regression models were constructed under different combinations of morphological feature parameters being significantly different between groups.The performance of each parameter alone and logistic regression models for identifying mass-like IBC-NST with DCIS component were evaluated using receiver operating characteristic(ROC)curves and the area under the curve(AUC),and DeLong tests were conducted for comparisons.Results The proportion of irregularly shaped mass-like IBC-NST in DCISC group(64.71％)was significantly higher than in non-DCISC group(25.00％,P＜0.05).In DCISC group,the elongation,flatness,least axis length,mesh volume,sphericity and voxel volume were all lower,while surface area to volume ratio was higher than those in non-DCISC group(all P＜0.05).AUC of flatness and sphericity for identifying mass-like IBC-NST with DCIS component(0.812 and 0.793,respectively)were both higher than that of lesions shape(AUC=0.659,Z=2.451,2.447,both P＜0.05).Logistic regression models(Model 1,2 and 3)were established through combining sphericity+least axis length,flatness+least axis length+surface area to volume ratio,and the former three+elongation,with AUC of 0.836,0.849 and 0.857,respectively.AUC of Model 3 was not statistically different with that of flatness nor sphericity(both P＞0.05)but higher than that of other morphological feature parameters alone(all P＜0.05).Conclusion Radiomics morphological features of mass-like IBC-NST on DCE-MRI alone or in combinations could effectively identify DCIS component,with performance superior to that of lesion'MRI shape alone.Combining parameters model could improve diagnostic efficacy when compared to several norphological features alone.
