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首页> 外文期刊>Korean journal of radiology : >Kinetic Features of Invasive Breast Cancers on Computer-Aided Diagnosis Using 3T MRI Data: Correlation with Clinical and Pathologic Prognostic Factors
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Kinetic Features of Invasive Breast Cancers on Computer-Aided Diagnosis Using 3T MRI Data: Correlation with Clinical and Pathologic Prognostic Factors

机译:使用3T MRI数据进行计算机辅助诊断的浸润性乳腺癌的动力学特征:与临床和病理预后因素的相关性

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摘要

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.
机译:目的探讨乳腺癌动力学特征与乳腺癌患者术前3T磁共振成像(MRI)数据的计算机辅助诊断(CAD)及临床病理因素的相关性。材料和方法2016年7月至2017年3月,接受MRI和手术治疗的85例浸润性乳腺癌(平均1.8厘米;范围0.8-4.8厘米)的患者(平均年龄54岁;年龄范围35-81岁)被追溯纳入。使用CAD处理所有磁共振图像,并获取肿瘤的动力学特征。使用Spearman相关检验和二元Logistic回归分析评估动力学特征与临床病理因素之间的关系。结果峰值增强和血管体积与组织学分级,Ki-67指数和肿瘤大小显着相关:r = 0.355(p = 0.001),r = 0.330(p = 0.002)和r = 0.231(p = 0.033)对于峰值增强,对于血管体积,r = 0.410(p = 0.005),r = 0.341(p <0.001)和r = 0.505(p <0.001)。延迟高原成分与Ki-67相关(r = 0.255 [p = 0.019])。在回归分析中,较高的峰增强与较高的组织学分级相关(奇数比[OR] = 1.004; 95%置信区间[CI]:1.001-1.008; p = 0.024),并且较高的延迟高原成分和血管体积与较高的Ki-67相关(OR = 1.051; 95%CI:1.011–1.094;延迟高原成分p = 0.013; OR = 1.178; 95%CI:1.023–1.356;血管体积p = 0.023)。结论在CAD评估的动力学特征中,较高的峰增强可能与较高的组织学等级相关,而较高的延迟高原成分和血管体积与较高的Ki-67指数相关。这些结果支持动力学特征在预后评估中的临床应用。

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