摘要
目的:探讨全肿瘤表观弥散系数(ADC)直方图在鉴别腮腺分泌性癌(SC)与腺泡细胞癌(AciCC)中的应用价值。方法:回顾性分析6例SC和14例AciCC的MRI资料。采用全肿瘤ADC直方图分析方法,比较两组肿瘤ADC直方图参数的差异,绘制受试者工作特征(ROC)曲线分析具有显著差异的参数以明确鉴别SC和AciCC的最佳ADC直方图参数。结果:两组肿瘤ADC的平均值,最大值,第5、25、50、75、95百分位数值,偏度的差异具有统计学意义(P<0.05),其中第95百分位数值的曲线下面积(AUC)最大,AUC为0.917,灵敏度为100.00%,特异度78.57%,准确度85.00%。结论:全肿瘤ADC直方图能够有效地鉴别腮腺SC和AciCC,并以第95百分位数值的鉴别诊断效能最高。
Purpose:To explore the application value of whole-tumor apparent diffusion coefficient(ADC)histogram in distinguishing secretory carcinoma(SC)from acinic cell carcinoma(AciCC)of the parotid gland.Methods:A retrospective analysis of MRI data was carried out on six SCs and 14 AciCCs.The whole-tumor ADC histogram analysis was utilized to compare the differences in ADC parameters between the two groups.The ROC curve was used to analyze the parameters with significant differences so as to clarify the optimal ADC histogram parameter for identifying SC and AciCC.Results:There were significant differences in mean,maximum,5th-,25th-,50th-,75th-,95th percentile values,and skewness derived from the ADC histogram between the two groups(P<0.05).The 95th percentile had the highest area under the curve(AUC)of 0.917,with the sensitivity of 100.00%,specificity of 78.57%,and accuracy of 85.00%.Conclusion:The whole-tumor ADC histogram could be used to effectively differentiate SC from AciCC of the parotid gland,and the 95th percentile with the highest differential diagnostic efficacy.
作者
程景风
唐作华
姚振威
王宇喆
占杨
王胤
颜姝瑜
袁源
谌灵心
魏子勋
CHENG Jingfeng;TANG Zuohua;YAO Zhenwei;WANG Yuzhe;ZHAN Yang;WANG Yin;YAN Shuyu;YUAN Yuan;CHEN Lingxin;WEI Zixun(Department of Radiology,Eye&ENT Hospital,Fudan University,Shanghai 200031,China;Department of Radiology,Huashan Hospital,Fudan University;Shanghai Institute of Medical Imaging;Keqing Academy of Fudan University)
出处
《中国医学计算机成像杂志》
CSCD
北大核心
2023年第5期493-497,共5页
Chinese Computed Medical Imaging
基金
复旦大学附属眼耳鼻喉科医院“优秀医师-优秀临床研究者”计划(SYA202007)
复旦大学“克卿-德济科创”项目(SCH6222206A/022)。
关键词
腮腺
分泌性癌
腺泡细胞癌
磁共振成像
Parotid gland
Secretory carcinoma
Acinic cell carcinoma
Magnetic resonance imaging