摘要
目的:探讨集成MRI弛豫时间定量技术在前列腺癌诊断及侵袭性评估中的应用价值。方法:回顾性搜集2020年3月至2021年3月宁夏医科大学总医院行前列腺MRI常规序列和磁共振图像编译(MAGiC)序列扫描的前列腺疾病患者119例[共122个感兴趣区(ROI)],依据病理结果分为前列腺癌组(58例,61个ROI)和非前列腺癌组(61例,61个ROI)。前列腺癌组为前列腺癌患者,年龄48~85(69.8±5.9)岁,依据发生部位分为两个亚组:外周带癌组(43例,45个ROI)和中央腺体癌组(15例,16个ROI)。非前列腺癌组为良性前列腺增生或合并慢性前列腺炎患者,年龄41~81(68.6±7.0)岁,依据发生部位分为两个亚组:外周带非癌组(45例,45个ROI)和中央腺体良性前列腺增生组(16例,16个ROI)。前列腺癌病灶分为低危(GS≤6分)和中/高危(GS≥7分)。前列腺癌组和非前列腺癌组 MAGiC图像经过后处理后得到T_(1)、T_(2)、质子密度(PD)值,同时用相关软件进行后处理生成表观扩散系数(ADC)值,并采用独立样本 t检验或Mann-Whitney U检验分析两组间数据的比较,采用受试者工作特征(ROC)曲线分析各定量参数诊断前列腺癌和鉴别低危、中高危前列腺癌的诊断效能,采用Spearman相关分析评估各定量参数与Gleason评分的相关性。 结果:外周带癌组的T_(1)值和T_(2)值[ M( Q1, Q3)]均低于外周带非癌组[1 201.3(1 103.5,1 298.2)ms比2 274.0(1 620.9,2 776.5)ms;78.0(74.0,83.8)ms比(160.6±54.9)ms](均 P<0.001),两组PD 值差异无统计学意义( P>0.05)。中央腺体癌组的T_(1)值和T_(2)值均低于中央腺体良性前列腺增生组[1 073.3(1 003.9,1 164.9)ms比1 340.8(1 208.5,1 502.8)ms;76.9(74.8,82.8)ms比95.1(82.8,103.4)ms](均 P<0.001),两组PD值差异无统计学意义( P>0.05)。区分外周带癌组与外周带非癌组时,T_(2)值显示出与ADC值相似的曲线下面积(AUC)(0.963比0.991, P=0.105),而区分中央腺体癌组与中央腺体良性前列腺增生组时,T_(2)值、T_(1)值与ADC�
Objective To investigate the application value of relaxation time quantitative technique from synthetic magnetic resonance imaging(MRI)in the diagnosis and invasion assessment of prostate cancer.Methods A total of 119 patients with prostate diseases[122 regions of interest(ROI)]who underwent routine MRI scan and magnetic resonance image compilation(MAGiC)sequence of prostate from March 2020 to March 2021 in General Hospital of Ningxia Medical University were retrospectively collected,they were divided into prostate cancer group(58 cases,61 ROI)and non-prostate cancer group(61 cases,61 ROI)according to the pathological results.In the prostate cancer group,those patients with an age of 48 to 85(69.8±5.9)years,and further divided into two subgroups according to the location of occurrence:peripheral zone cancer group(43 cases,45 ROI)and transitional zone cancer group(15 cases,16 ROI).The non-prostate cancer group consisted of patients with benign prostatic hyperplasia or complicated with chronic prostatitis,with an age of 41 to 81(68.6±7.0)years,and they were further divided into two subgroups according to the location of occurrence:non-cancerous peripheral zone group(45 cases,45 ROI)and transitional zone benign prostatic hyperplasia group(16 cases,16 ROI).Prostate cancer lesions were classified as low risk(Gleason score≤6)or intermediate/high risk(Gleason score≥7).After the post-processing of MAGiC images,T_(1),T_(2) and proton density(PD)values of prostate cancer group and non-prostate cancer group were obtained.At the same time,relevant software were used for image post-processing to generate apparent diffusion coefficient(ADC)value,the data between the two groups were analyzed by the Independent sample t-test or Mann-Whitney U-test,and the diagnostic effectiveness of each quantitative parameter in diagnosing prostate cancer and discriminating low risk prostate cancer from intermediate/high risk prostate cancer was analyzed by using receiver operating characteristic curve(ROC)analysis,the correlation between
作者
宋娜
王涛
张丹
王卓
张少茹
于佳
蔡磊
马爱玲
张强
陈志强
Song Na;Wang Tao;Zhang Dan;Wang Zhuo;Zhang Shaoru;Yu Jia;Cai Lei;Ma Ailing;Zhang Qiang;Chen Zhiqiang(Department of Radiology,General Hospital of Ningxia Medical University,Yinchuan 750004,China;Gansu Provincial Maternity and Child-care Hospital,Lanzhou 730050,China;Clinical Medicine School of Ningxia Medical University,Yinchuan 750004,China;Department of Genetics,School of Basic Medicine,Ningxia Medical University,Yinchuan 750004,China;Department of Pathology,General Hospital of Ningxia Medical University,Yinchuan 750004,China;Department of Urological Surgery,General Hospital of Ningxia Medical University,Yinchuan 750004,China)
出处
《中华医学杂志》
CAS
CSCD
北大核心
2022年第15期1093-1099,共7页
National Medical Journal of China
基金
宁夏回族自治区重点研发计划(2019BEG03033)
宁夏自然科学基金(2020AAC03156)
关键词
前列腺肿瘤
集成磁共振成像
良性前列腺增生
弛豫时间定量技术
诊断
侵袭
表观扩散系数
病例对照研究
Prostatic neoplasms
Synthetic magnetic resonance imaging
Benign prostatic hyperplasia
Relaxation time quantitative technique
Diagnosis
Invasion
Apparent diffusion coefficient
Case-control study
