Objective To observe the efficacy of deep learning(DL)model based on PET/CT and its combination with Cox proportional hazard model for predicting progressive disease(PD)of lung invasive adenocarcinoma within 5 years a...Objective To observe the efficacy of deep learning(DL)model based on PET/CT and its combination with Cox proportional hazard model for predicting progressive disease(PD)of lung invasive adenocarcinoma within 5 years after surgery.Methods The clinical,PET/CT and 5-year follow-up data of 250 patients with lung invasive adenocarcinoma were retrospectively analyzed.According to PD or not,the patients were divided into the PD group(n=71)and non-PD group(n=179).The basic data and PET/CT findings were compared between groups,among which the quantitative variables being significant different between groups were transformed to categorical variables using receiver operating characteristic(ROC)curve and corresponding cut-off value.Multivariant Cox proportional hazard model was used to select independent predicting factors of PD of lung invasive adenocarcinoma within 5 years after surgery.The patients were divided into training,validation and test sets at the ratio of 6∶2∶2,and PET/CT data in training set and validation set were used to train model and tuning parameters to build the PET/CT DL model,and the combination model was built in serial connection of DL model and the predictive factors.In test set,the efficacy of each model for predicting PD of lung invasive adenocarcinoma within 5 years after surgery was assessed and compared using the area under the curve(AUC).Results Patients'gender and smoking status,as well as the long diameter,SUV max and SUV mean of lesions measured on PET images,the long diameter,short diameter and type of lesions showed on CT were statistically different between groups(all P<0.05).Smoking(HR=1.787[1.053,3.031],P=0.031)and lesion SUV max>4.15(HR=5.249[1.062,25.945],P=0.042)were both predictors of PD of lung invasive adenocarcinoma within 5 years after surgery.In test set,the AUC of PET/CT DL model for predicting PD was 0.847,of the combination model was 0.890,of the latter was higher than of the former(P=0.036).Conclusion DL model based on PET/CT had high efficacy for predicting PD of lung invasive adenocarcinoma within 5 years after surgery.Combining with Cox proportional hazard model could further improve its predicting efficacy.展开更多
目的:探讨双源CT多期增强双能量成像在鉴别肺癌与肺炎性结节/肿块的应用价值。方法:对42例肺结节或肿块患者行双能量平扫及肺动脉期(PP)、主动脉期(AP)、静脉期(VP)及延迟期(DP)增强扫描。测量感兴趣区的平扫CT值、PP、AP、VP及DP的标...目的:探讨双源CT多期增强双能量成像在鉴别肺癌与肺炎性结节/肿块的应用价值。方法:对42例肺结节或肿块患者行双能量平扫及肺动脉期(PP)、主动脉期(AP)、静脉期(VP)及延迟期(DP)增强扫描。测量感兴趣区的平扫CT值、PP、AP、VP及DP的标准化碘浓度(NIC)及40 keV、100 keV图像CT值,计算PP、AP、VP及DP的40 keV图像净增CT值(d_(CT))和40~100 keV区间的能谱曲线斜率(λ_(HU))。比较两组间各参数的差异并进行统计学分析。结果:经手术切除或穿刺活检病理证实,或通过临床诊治过程明确诊断,肺癌组22例、炎性组20例。PP、AP、VP及DP的NIC值、CT值40 ke V、CT值100 ke V炎性组均高于肺癌组;AP、VP及DP的d_(CT)值及λ_(HU)炎性组高于肺癌组,PP的d_(CT)值及λ_(HU)炎性组略低于肺癌组;炎性组与肺癌组比较,VP及DP的NIC值、d_(CT)值差异有统计学意义(P<0.05)。结论:多期增强双能量成像对肺癌与肺炎性结节/肿块的鉴别诊断具有较大的应用价值。展开更多
文摘Objective To observe the efficacy of deep learning(DL)model based on PET/CT and its combination with Cox proportional hazard model for predicting progressive disease(PD)of lung invasive adenocarcinoma within 5 years after surgery.Methods The clinical,PET/CT and 5-year follow-up data of 250 patients with lung invasive adenocarcinoma were retrospectively analyzed.According to PD or not,the patients were divided into the PD group(n=71)and non-PD group(n=179).The basic data and PET/CT findings were compared between groups,among which the quantitative variables being significant different between groups were transformed to categorical variables using receiver operating characteristic(ROC)curve and corresponding cut-off value.Multivariant Cox proportional hazard model was used to select independent predicting factors of PD of lung invasive adenocarcinoma within 5 years after surgery.The patients were divided into training,validation and test sets at the ratio of 6∶2∶2,and PET/CT data in training set and validation set were used to train model and tuning parameters to build the PET/CT DL model,and the combination model was built in serial connection of DL model and the predictive factors.In test set,the efficacy of each model for predicting PD of lung invasive adenocarcinoma within 5 years after surgery was assessed and compared using the area under the curve(AUC).Results Patients'gender and smoking status,as well as the long diameter,SUV max and SUV mean of lesions measured on PET images,the long diameter,short diameter and type of lesions showed on CT were statistically different between groups(all P<0.05).Smoking(HR=1.787[1.053,3.031],P=0.031)and lesion SUV max>4.15(HR=5.249[1.062,25.945],P=0.042)were both predictors of PD of lung invasive adenocarcinoma within 5 years after surgery.In test set,the AUC of PET/CT DL model for predicting PD was 0.847,of the combination model was 0.890,of the latter was higher than of the former(P=0.036).Conclusion DL model based on PET/CT had high efficacy for predicting PD of lung invasive adenocarcinoma within 5 years after surgery.Combining with Cox proportional hazard model could further improve its predicting efficacy.
文摘目的:探讨双源CT多期增强双能量成像在鉴别肺癌与肺炎性结节/肿块的应用价值。方法:对42例肺结节或肿块患者行双能量平扫及肺动脉期(PP)、主动脉期(AP)、静脉期(VP)及延迟期(DP)增强扫描。测量感兴趣区的平扫CT值、PP、AP、VP及DP的标准化碘浓度(NIC)及40 keV、100 keV图像CT值,计算PP、AP、VP及DP的40 keV图像净增CT值(d_(CT))和40~100 keV区间的能谱曲线斜率(λ_(HU))。比较两组间各参数的差异并进行统计学分析。结果:经手术切除或穿刺活检病理证实,或通过临床诊治过程明确诊断,肺癌组22例、炎性组20例。PP、AP、VP及DP的NIC值、CT值40 ke V、CT值100 ke V炎性组均高于肺癌组;AP、VP及DP的d_(CT)值及λ_(HU)炎性组高于肺癌组,PP的d_(CT)值及λ_(HU)炎性组略低于肺癌组;炎性组与肺癌组比较,VP及DP的NIC值、d_(CT)值差异有统计学意义(P<0.05)。结论:多期增强双能量成像对肺癌与肺炎性结节/肿块的鉴别诊断具有较大的应用价值。
