OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer...OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer image analysis. METHODS With application of the image analysis system, all grades of cervical lesion cells were detected quantitatively and sorted in atypical squamous cells of undetermined significance （ASCUS）, atypical squamous cells-cannot exclude HSIL （ASC-H）, low-grade squamous intraepithelial lesion （LSIL）, high-grade squamous intraepithelial lesion （HSIL） and cervical squamous cell carcinoma （SCC） with the mean optical density （MOD）, average grey （AG）, positive units （PU）, and nucleus to cytoplasmic ratio （N： C）. Differences between each group of cells were compared and analyzed statistically. RESULTS Apart from four stereologic parameters in LSIL and HSIL groups there were no differences among them, in the other groups, there was statistically significant in differences between MOD, AG and PU values. Differences between them in the ratio of nucleus to cytoplasm were highly statistically significant. CONCLUSION Stereological indexes may serve as a screening tool for cervical lesions. The image analysis system is expected to become a new means of cytological assisted diagnosis.展开更多
目的:探讨T_(2)mapping成像纹理分析鉴别宫颈癌病理分型和鳞癌病理分级的价值。方法:回顾性分析54例宫颈鳞癌(高级别37例、中-低级别17例)、19例腺癌患者的资料,术前均行T_(2)mapping序列在内的3.0TMRI检查。两名观察者分别独立提取T_(2...目的:探讨T_(2)mapping成像纹理分析鉴别宫颈癌病理分型和鳞癌病理分级的价值。方法:回顾性分析54例宫颈鳞癌(高级别37例、中-低级别17例)、19例腺癌患者的资料,术前均行T_(2)mapping序列在内的3.0TMRI检查。两名观察者分别独立提取T_(2)mapping全肿瘤纹理参数。比较鳞癌与腺癌之间及高级别与中-低级别鳞癌之间参数的差异性,采用Logistic回归构建联合参数。采用受试者工作特征(Receiver operating characteristic,ROC)曲线评估单一纹理参数及联合参数鉴别宫颈癌病理分型及鳞癌病理分级的效能。采用DeLong检验对比分析单一纹理参数和联合参数曲线下面积(Area under the curve,AUC)的差异。结果:从每例患者肿瘤中提取88个纹理参数,最终筛选出3个参数用于鉴别病理分型,8个参数用于鉴别鳞癌病理分级(P均<0.05)。鉴别宫颈癌病理分型及鳞癌病理分级的联合参数的AUC分别为0.963、0.966。联合参数的AUC较单一参数的AUC显著提高。结论:基于T_(2)mapping成像的纹理分析对于宫颈癌病理分型和鳞癌病理分级的鉴别具有一定的价值。展开更多
目的基于治疗前多参数磁共振成像(multi-parametric magnetic resonance imaging,mpMRI)影像组学特征,结合临床变量构建模型预测宫颈癌(cervical cancer,CC)脉管浸润(lymphovascular space invasion,LVSI)和预后。材料与方法回顾分析125...目的基于治疗前多参数磁共振成像(multi-parametric magnetic resonance imaging,mpMRI)影像组学特征,结合临床变量构建模型预测宫颈癌(cervical cancer,CC)脉管浸润(lymphovascular space invasion,LVSI)和预后。材料与方法回顾分析125例CC患者病例,采集小视野高分辨率T2加权成像、表观扩散系数图、轴位T2加权成像(T2-weighted imaging,T2WI)压脂序列和矢状位T2WI、轴位和矢状位对比增强T1加权成像。勾画肿瘤区域后提取107个特征,通过最小绝对值压缩与选择算法等降维以建立影像组学分数(radiomics score,Rad-score),整合14个临床指标构建逐步逻辑回归模型,并重复20次3折交叉验证。根据预测的LVSI及随访结果进行分组及相应无进展生存期(progression-free survival,PFS)的生存曲线划分,观察模型在PFS分组的差异。结果形态学和异质性相关的影像组学特征是预测LVSI的主要因素。回归分析确定3个危险因素,Rad-score比鳞状细胞癌抗原和血红蛋白更重要[优势比(odds ratio,OR):2.626、1.061、0.982]。训练集的受试者工作特征曲线下面积为0.823。PFS在模型预测的LVSI组间明显不同(平均PFS:64.8、58.3个月)。结论mpMRI影像组学特征结合临床变量能预测CC患者的LVSI和临床结局,可能在新辅助和手术环境中显示出改善患者风险分层的效用。影像组学特征能够预测预后可能与其反映肿瘤组织的LVSI有潜在关联。展开更多
基金This work was supported by a grant from the Natural Science Foundation of Nenan Province, China （No.102300410078）.
文摘OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer image analysis. METHODS With application of the image analysis system, all grades of cervical lesion cells were detected quantitatively and sorted in atypical squamous cells of undetermined significance （ASCUS）, atypical squamous cells-cannot exclude HSIL （ASC-H）, low-grade squamous intraepithelial lesion （LSIL）, high-grade squamous intraepithelial lesion （HSIL） and cervical squamous cell carcinoma （SCC） with the mean optical density （MOD）, average grey （AG）, positive units （PU）, and nucleus to cytoplasmic ratio （N： C）. Differences between each group of cells were compared and analyzed statistically. RESULTS Apart from four stereologic parameters in LSIL and HSIL groups there were no differences among them, in the other groups, there was statistically significant in differences between MOD, AG and PU values. Differences between them in the ratio of nucleus to cytoplasm were highly statistically significant. CONCLUSION Stereological indexes may serve as a screening tool for cervical lesions. The image analysis system is expected to become a new means of cytological assisted diagnosis.
文摘目的:探讨T_(2)mapping成像纹理分析鉴别宫颈癌病理分型和鳞癌病理分级的价值。方法:回顾性分析54例宫颈鳞癌(高级别37例、中-低级别17例)、19例腺癌患者的资料,术前均行T_(2)mapping序列在内的3.0TMRI检查。两名观察者分别独立提取T_(2)mapping全肿瘤纹理参数。比较鳞癌与腺癌之间及高级别与中-低级别鳞癌之间参数的差异性,采用Logistic回归构建联合参数。采用受试者工作特征(Receiver operating characteristic,ROC)曲线评估单一纹理参数及联合参数鉴别宫颈癌病理分型及鳞癌病理分级的效能。采用DeLong检验对比分析单一纹理参数和联合参数曲线下面积(Area under the curve,AUC)的差异。结果:从每例患者肿瘤中提取88个纹理参数,最终筛选出3个参数用于鉴别病理分型,8个参数用于鉴别鳞癌病理分级(P均<0.05)。鉴别宫颈癌病理分型及鳞癌病理分级的联合参数的AUC分别为0.963、0.966。联合参数的AUC较单一参数的AUC显著提高。结论:基于T_(2)mapping成像的纹理分析对于宫颈癌病理分型和鳞癌病理分级的鉴别具有一定的价值。
