目的:探讨血尿对细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测膀胱肿瘤结果的影响。方法:2009年1月至2013年6月,164例可疑膀胱癌的患者均接受尿脱落细胞学、FISH、上尿路影像学检查和膀胱镜检等检查,对可疑病变...目的:探讨血尿对细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测膀胱肿瘤结果的影响。方法:2009年1月至2013年6月,164例可疑膀胱癌的患者均接受尿脱落细胞学、FISH、上尿路影像学检查和膀胱镜检等检查,对可疑病变取活检或(和)切除术。比较血尿对细胞学和FISH假阳性率和假阴性率的影响。结果:血尿和无血尿患者细胞学假阳性率分别为14.3%和20.9%(χ2=0.645,P=0.422),假阴性率分别为21.4%和39.1%(χ2=2.618,P=0.106);FISH假阳性率分别为19.0%和20.9%(χ2=0.047,P=0.828),假阴性率分别为30.3%和30.4%(χ2=0.002,P=0.967),均无统计学差异。结论:血尿不会影响细胞学和FISH检测膀胱肿瘤的结果。展开更多
目的探讨尿路炎症对膀胱肿瘤细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测结果的影响。方法回顾分析2009年1月至2013年5月收住我院的均有尿脱落细胞学、FISH和膀胱镜等检查结果的155例血尿疑似膀胱肿瘤患者,比...目的探讨尿路炎症对膀胱肿瘤细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测结果的影响。方法回顾分析2009年1月至2013年5月收住我院的均有尿脱落细胞学、FISH和膀胱镜等检查结果的155例血尿疑似膀胱肿瘤患者,比较尿路炎症对细胞学和FISH假阳性结果的影响。结果 74例(47.7%)患者为膀胱癌,81例(52.3%)患者无膀胱癌。在膀胱癌患者和非膀胱癌患者中存在尿路炎症者分别为16例(21.6%)和21例(25.9%)(P=0.530)。在无尿路炎症和尿路炎症患者,细胞学假阳性率分别为15.0%和19.0%(P=0.664);FISH假阳性率分别为18.3%和23.8%(P=0.587),均无显著性差异。结论尿路炎症并不影响细胞学和FISH检测膀胱肿瘤的结果,对于细胞学和FISH结果提示膀胱肿瘤的患者,如果同时合并炎症,应在控制炎症后及时行膀胱镜检。展开更多
Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium...Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium oxalate monohydrate stone group(group A,n=373),anhydrous uric acid stone group(group B,n=86),carbonate apatite group(group C,n=30),ammonium urate stone group(group D,n=28)and ammonium magnesium phosphate hexahydrate stone group(group E,n=26)according to the composition of calculi,also divided into training set and test set at the ratio of 7∶3.Radiomics features were extracted and screened based on plain CT images of urinary system.Five binary task models(model A—E corresponding to group A—E)and a quinary task model were constructed using least absolute shrinkage and selection operator algorithm for predicting the composition of calculi in vivo.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of binary task models,while the accuracy,precision,recall and F1 score were used to evaluate the predictive efficacy of the quinary task model.Results All binary task models had good efficacy for predicting the composition of urinary calculi in vivo,with AUC of 0.860—0.948 in training set and of 0.856—0.933 in test set.The accuracy,precision,recall and F1 score of the quinary task model for predicting the composition of in vivo urinary calculi was 82.25%,83.79%,46.23%and 0.596 in training set,respectively,while was 80.63%,75.26%,43.48%and 0.551 in test set,respectively.Conclusion Binary task radiomics models based on preoperative plain CT had good efficacy for predicting the composition of in vivo urinary calculi,while the quinary task radiomics model had high accuracy but relatively poor stability.展开更多
文摘目的:探讨血尿对细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测膀胱肿瘤结果的影响。方法:2009年1月至2013年6月,164例可疑膀胱癌的患者均接受尿脱落细胞学、FISH、上尿路影像学检查和膀胱镜检等检查,对可疑病变取活检或(和)切除术。比较血尿对细胞学和FISH假阳性率和假阴性率的影响。结果:血尿和无血尿患者细胞学假阳性率分别为14.3%和20.9%(χ2=0.645,P=0.422),假阴性率分别为21.4%和39.1%(χ2=2.618,P=0.106);FISH假阳性率分别为19.0%和20.9%(χ2=0.047,P=0.828),假阴性率分别为30.3%和30.4%(χ2=0.002,P=0.967),均无统计学差异。结论:血尿不会影响细胞学和FISH检测膀胱肿瘤的结果。
文摘目的探讨尿路炎症对膀胱肿瘤细胞学和荧光原位杂交(fluorescence in situ hybridization,FISH)检测结果的影响。方法回顾分析2009年1月至2013年5月收住我院的均有尿脱落细胞学、FISH和膀胱镜等检查结果的155例血尿疑似膀胱肿瘤患者,比较尿路炎症对细胞学和FISH假阳性结果的影响。结果 74例(47.7%)患者为膀胱癌,81例(52.3%)患者无膀胱癌。在膀胱癌患者和非膀胱癌患者中存在尿路炎症者分别为16例(21.6%)和21例(25.9%)(P=0.530)。在无尿路炎症和尿路炎症患者,细胞学假阳性率分别为15.0%和19.0%(P=0.664);FISH假阳性率分别为18.3%和23.8%(P=0.587),均无显著性差异。结论尿路炎症并不影响细胞学和FISH检测膀胱肿瘤的结果,对于细胞学和FISH结果提示膀胱肿瘤的患者,如果同时合并炎症,应在控制炎症后及时行膀胱镜检。
文摘Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium oxalate monohydrate stone group(group A,n=373),anhydrous uric acid stone group(group B,n=86),carbonate apatite group(group C,n=30),ammonium urate stone group(group D,n=28)and ammonium magnesium phosphate hexahydrate stone group(group E,n=26)according to the composition of calculi,also divided into training set and test set at the ratio of 7∶3.Radiomics features were extracted and screened based on plain CT images of urinary system.Five binary task models(model A—E corresponding to group A—E)and a quinary task model were constructed using least absolute shrinkage and selection operator algorithm for predicting the composition of calculi in vivo.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of binary task models,while the accuracy,precision,recall and F1 score were used to evaluate the predictive efficacy of the quinary task model.Results All binary task models had good efficacy for predicting the composition of urinary calculi in vivo,with AUC of 0.860—0.948 in training set and of 0.856—0.933 in test set.The accuracy,precision,recall and F1 score of the quinary task model for predicting the composition of in vivo urinary calculi was 82.25%,83.79%,46.23%and 0.596 in training set,respectively,while was 80.63%,75.26%,43.48%and 0.551 in test set,respectively.Conclusion Binary task radiomics models based on preoperative plain CT had good efficacy for predicting the composition of in vivo urinary calculi,while the quinary task radiomics model had high accuracy but relatively poor stability.
