| 孙宜楠,张锦超,何安东,汪敏敏,刘孟潇,杨擎,朱娟,汪飞.同时多层采集技术结合单次激发平面回波成像多模型弥散加权成像用于乳腺病变[J].中国医学影像技术,2025,41(10):1735~1740 |
| 同时多层采集技术结合单次激发平面回波成像多模型弥散加权成像用于乳腺病变 |
| Simultaneous multi-slice acquisition combined with single-shot echo-planar imaging multi-model diffusion weighted imaging for breast lesions |
| 投稿时间：2025-01-14 修订日期：2025-07-16 |
| DOI：10.13929/j.issn.1003-3289.2025.10.028 |
| 中文关键词: 乳腺肿瘤 弥散磁共振成像 |
| 英文关键词:breast neoplasms diffusion magnetic resonance imaging |
| 基金项目:安徽省教育厅高等学校科学研究项目(2023AH053433)。 |
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| 中文摘要: |
| 目的 观察同时多层(SMS)采集技术结合单次激发平面回波成像(SSEPI)多模型弥散加权成像(DWI)用于乳腺病变的可行性。方法 回顾性纳入108例乳腺病变,根据病理结果将其分为恶性组(n=66)与良性组(n=42)。以3.0T MR仪采集SMS-SSEPI与SSEPI多b值DWI,经单指数、分数阶微积分(FROC)和连续时间随机游走(CTRW)模型后处理获得7个衍生参数。比较SMS-SSEPI与SSEPI DWI图像质量及各模型衍生参数;以Spearman相关分析观察SMS-SSEPI与SSEPI各衍生参数间的相关性;以受试者工作特征曲线下面积(AUC)评估各衍生参数鉴别乳腺良、恶性病变的效能。结果 SMS-SSEPI DWI背景噪声评分低于SSEPI DWI(P＜0.05),二者整体图像质量、正常解剖结构、病灶显著性、几何畸变评分,以及信噪比和对比度噪声比差异均无统计学意义(P均＞0.05)。基于SMS-SSEPI DWI及SSEPI DWI所测乳腺病变各衍生参数均呈中-高度正相关(rs=0.66~0.98)。恶性组表观弥散系数(ADC)、弥散系数(DFROC)、空间分数阶导数(βFROC)、CTRW-DWI模型弥散系数(DCTRW)、时间弥散异质性指数(αCTRW)及空间弥散异质性指数(βCTRW)值均低于,而空间参数(μFROC)值高于良性组(P均＜0.05)。基于SMS-SSEPI及SSEPI DWI各衍生参数评估乳腺病变良、恶性病变的AUC分别为0.699~0.900及0.654~0.887,均以DFROC评估效能最高(AUC为0.900、0.887)。结论 SMS-SSEPI DWI能有效评估乳腺良、恶性病变。 |
| 英文摘要: |
| Objective To investigate the feasibility of simultaneous multi-slice (SMS) acquisition combined with single-shot echo-planar imaging (SSEPI) multi-model diffusion weighted imaging (DWI) for breast lesions. Methods Totally 108 cases of breast lesions were retrospectively enrolled and divided into malignant group (n=66) and benign group (n=42) based on pathology. 3.0T MR scanner was used to acquire SSEPI and SMS-SSEPI multi-b values DWI, 7 derived parameters were obtained through post-processing with mono-exponential, fractional-order calculus (FROC) and continuous-time random walk (CTRW) models. Then the imaging quality and derived parameters of SMS-SSEPI and SSEPI DWI were compared between groups. Spearman correlation analysis was performed to explore the relationships of corresponding parameters between SMS-SSEPI DWI and SSEPI DWI. Diagnostic performance of each parameter for distinguishing malignant and benign lesions was evaluated according to the area under the receiver operating characteristic curve (AUC). Results Background noise score of SMS-SSEPI DWI was lower than that of SSEPI DWI (P＜0.05), whereas no significant difference of overall imaging quality, normal anatomical structure depiction, lesion conspicuity, geometric distortion, signal-to-noise ratio (SNR) nor contrast-to-noise ratio (CNR) was found between SMS-SSEPI DWI and SSEPI DWI (all P＞0.05). Parameters derived from SMS-SSEPI DWI were all moderately to highly positively correlated with those from SSEPI DWI (rs =0.66—0.98). Malignant lesions exhibited significantly lower apparent diffusion coefficient (ADC), diffusion coefficient based on FROC (DFROC), fractional order derivative in space (βFROC), diffusion coefficient based on CTRW (DCTRW), temporal diffusion heterogeneity index (αCTRW) and spatial diffusion heterogeneity index (βCTRW) values, but higher spatial parameter (μFROC) value than benign lesions (all P＜0.05). AUC of SMS-SSEPI DWI derived parameters for differentiating malignant from benign lesions were 0.699—0.900, of those from SSEPI DWI were 0.654—0.887, while in both SMS-SSEPI DWI and SSEPI DWI, DFROC had the highest diagnostic efficacy (AUC=0.900, 0.887). Conclusion SMS-SSEPI DWI could be used to effectively differentiate malignant and benign breast lesions. |
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