학술논문
定量测量前列腺周围脂肪组织对预测前列腺癌骨转移的临床价值 / Exploring the clinical value of quantitative measurement for periprostatic adipose tissue in predicting bone metastasis from prostate cancer
Document Type
Academic Journal
Author
Source
中国中西医结合影像学杂志 / Chinese Imaging Journal of Integrated Traditional and Western Medicine. 22(1):90-95
Subject
Language
Chinese
ISSN
1672-0512
Abstract
目的:建立新发前列腺癌患者骨转移风险列线图预测模型,探讨前列腺周围脂肪组织(PPAT)与前列腺癌骨转移的关系.方法:纳入160例患者(骨转移组、非骨转移组各80例),在MRI图像上定量测量耻骨联合层面腹部皮下脂肪厚度(NFSP)、耻骨联合至椎体前缘的最短直线距离(FNPF)、耻骨联合层面后背部皮下脂肪厚度(BSF)、耻骨联合至前皮下最大距离(PSSF)、耻骨联合至前列腺的最大垂直距离(MDSP)、耻骨联合上缘切线至椎体前缘的距离(PSPF)、前列腺面积(PA)、前列腺周围脂肪面积(PPFA),分析其与前列腺癌骨转移的相关性,筛选特征属性.采用分层随机抽样的方法将160例患者按照7∶3的比例分为训练集和测试集,建立脂肪定量测量回归预测模型,并测试集进行验证.结果:MDSP、PSPF、FNPF、PPFA/PA是前列腺癌骨转移的独立危险因素(均P<0.05).测试MDSP、PSPF、FNPF、PPFA/PA及包含上述4种特征的联合模型的诊断效能,在训练集AUC分别为0.90、0.78、0.72、0.80、0.92,在测试集AUC为0.87、0.86、0.68、0.79、0.98.结论:基于脂肪定量测量的列线图可很好地预测前列腺癌患者的骨转移风险.
Objective:To investigate the relationship between periprostatic adipose tissue(PPAT)and prostate cancer aggressiveness and to develop a nomogram prediction model for bone metastasis risk in new prostate cancer patients.Methods:A total of 160 patients(80 cases in the bone metastasis group and 80 cases in the non-metastasis group)were included in this study,and the quantitative parameters(NFSP,FNPF,BSF,PSSF,MDSP,PSPF,PA and PPFA)on MRI images were analyzed for the correlation with prostate cancer aggressiveness.160 patients were divided into the training set and the validation set at a ratio of 7∶3,and the regression prediction model for quantitative measurement was developed to validate on the validation set.Results:MDSP,PSPF,FNPF and PPFA/PA were independent risk factors for bone metastasis(all P<0.05).The diagnostic efficacy of the nomogram model for the features of MDSP,PSPF,FNPF,PPFA/PA and a combined model including the above 4 parameters was tested separately.The AUC values in the training set were 0.90,0.78,0.72,0.80 and 0.92,respectively;and the AUC values in the validation set were 0.87,0.86,0.68,0.79 and 0.98,respectively.Conclusion:A nomogram model based on quantitative measurement for adipose tissue can predict the aggressive risk of prostate cancer.
Objective:To investigate the relationship between periprostatic adipose tissue(PPAT)and prostate cancer aggressiveness and to develop a nomogram prediction model for bone metastasis risk in new prostate cancer patients.Methods:A total of 160 patients(80 cases in the bone metastasis group and 80 cases in the non-metastasis group)were included in this study,and the quantitative parameters(NFSP,FNPF,BSF,PSSF,MDSP,PSPF,PA and PPFA)on MRI images were analyzed for the correlation with prostate cancer aggressiveness.160 patients were divided into the training set and the validation set at a ratio of 7∶3,and the regression prediction model for quantitative measurement was developed to validate on the validation set.Results:MDSP,PSPF,FNPF and PPFA/PA were independent risk factors for bone metastasis(all P<0.05).The diagnostic efficacy of the nomogram model for the features of MDSP,PSPF,FNPF,PPFA/PA and a combined model including the above 4 parameters was tested separately.The AUC values in the training set were 0.90,0.78,0.72,0.80 and 0.92,respectively;and the AUC values in the validation set were 0.87,0.86,0.68,0.79 and 0.98,respectively.Conclusion:A nomogram model based on quantitative measurement for adipose tissue can predict the aggressive risk of prostate cancer.