| 张凯,戴越,周杰,李金戈,刘晴,刘俊彤,陶娟,王绍武.常规MRI及弥散加权成像鉴别软组织淋巴瘤与软组织肉瘤[J].中国医学影像技术,2025,41(9):1563~1567 |
| 常规MRI及弥散加权成像鉴别软组织淋巴瘤与软组织肉瘤 |
| Conventional MRI and diffusion weighted imaging for differentiating soft tissue lymphoma and soft tissue sarcoma |
| 投稿时间：2024-12-09 修订日期：2025-06-07 |
| DOI：10.13929/j.issn.1003-3289.2025.09.023 |
| 中文关键词: 软组织肿瘤|淋巴瘤|肉瘤|磁共振成像 |
| 英文关键词:soft tissue neoplasms|lymphoma|sarcoma|magnetic resonance imaging |
| 基金项目:国家自然科学基金(82271975)。 |
| 作者 | 单位 | E-mail | | 张凯 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023 | | | 戴越 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023
大连理工大学附属中心医院放射科, 辽宁 大连 116033 | | | 周杰 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023
大连理工大学附属中心医院放射科, 辽宁 大连 116033 | | | 李金戈 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023 | | | 刘晴 | 大连市友谊医院放射科, 辽宁 大连 116001 | | | 刘俊彤 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023 | | | 陶娟 | 大连医科大学附属第二医院病理科, 辽宁 大连 116023 | | | 王绍武 | 大连医科大学附属第二医院放射科, 辽宁 大连 116023 | wsw_2018@163.com |
|
| 摘要点击次数: 97 |
| 全文下载次数: 35 |
| 中文摘要: |
| 目的 观察常规MRI及弥散加权成像(DWI)鉴别软组织淋巴瘤(STL)与软组织肉瘤(STS)的价值。方法 回顾性分析25例STL(STL组)及38例STS(STS组)常规MRI及DWI资料,将组间差异有统计学意义的MRI表现纳入logistic回归分析,筛选STL的独立危险因素并评估其联合预测STL的敏感度、特异度及准确率。绘制受试者工作特征曲线,计算曲线下面积(AUC),评估平均表观弥散系数(ADCmean)、最小ADC(ADCmin)及最大ADC(ADCmax)鉴别STL与STS的效能。结果 T1WI稍高信号、无坏死、累及多肌群及均匀强化均为STL的独立危险因素(P均＜0.05);以之联合预测STL的敏感度、特异度及准确率分别为72.00%(18/25)、89.47%(34/38)及82.54%(52/63)。STL的 ADCmean、ADCmin及ADCmax值分别为(1.06±0.18)×10－3、(0.77±0.14)×10－3及(1.47±0.31)×10－3 mm2/s,均低于STS[(1.31±0.17)×10－3、(1.02±0.23)×10－3及(1.64±0.16)×10－3 mm2/s;t=－4.829~－2.498,P均＜0.05]。ADCmean、ADCmin、ADCmax值及其联合鉴别STL与STS的AUC分别为0.845、0.844、0.683及0.877。结论 常规MRI表现,包括T1WI信号、有无坏死、有无多肌群受累和强化方式,以及DWI所测ADCmean和ADCmin值均有助于鉴别STL与STS。 |
| 英文摘要: |
| Objective To observe the value of conventional MRI and diffusion weighted imaging (DWI) for differentiating soft tissue lymphoma (STL) and soft tissue sarcoma (STS). Methods Conventional MRI and DWI data of 25 cases of STL (STL group) and 38 cases of STS (STS group) were retrospectively analyzed. MRI features being statistically different between groups were included in logistic regression analysis to screen the independent risk factors of STL and to evaluate the sensitivity, specificity and accuracy of their combination for predicting STL. Receiver operating characteristic curve was generated, the area under the curve (AUC) was calculated to assess the diagnostic efficacy of the mean apparent diffusion coefficient (ADCmean), the minimum apparent diffusion coefficient (ADCmin), the maximum apparent diffusion coefficient (ADCmax) values for distinguishing STL from STS. Results Slightly hyperintensity on T1WI, non-necrosis, involvement of multiple muscle groups and homogeneous enhancement were all independent risk factors of STL (all P＜0.05). The sensitivity, specificity and accuracy of their combination for predicting STL was 72.00% (18/25), 89.47% (34/38) and 82.54% (52/63), respectively. ADCmean, ADCmin and ADCmax values of STL was (1.06±0.18)×10－3, (0.77±0.14)×10－3 and (1.47±0.31)×10－3 mm2/s, respectively, all lower than those of STS ([1.31±0.17]×10－3,[1.02±0.23]×10－3 and[1.64±0.16]×10－3 mm2/s; t=－4.829—－2.498, all P＜0.05). The AUC of ADCmean, ADCmin and ADCmax values and their combination for differential diagnosis of STL and STS was 0.845, 0.844, 0.683 and 0.877, respectively. Conclusion Conventional MRI features, including T1WI signal intensity, necrosis, involvement of multiple muscle groups and enhancement pattern, along with ADCmean and ADCmin values derived from DWI contributed to differentiating STL and STS. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
