ABSTRACT
Objective To investigate whether diffusion kurtosis imaging(DKI)can be predictive in high-aggressive prostate cancer (PCa).Methods 51 patients with pathologically confirmed PCa underwent preoperative DK-MR imaging(b of 0,700,1 400 and 2 100 s/mm2).Data was post-processed by mono-exponential and non-Gauss DK model,respectively,for quantitation of apparent diffusion coefficient(ADC),apparent non-Gaussian diffusion coefficient(Dapp)and apparent non-Gauss kurtosis coefficient(Kapp). The ability of Dapp,Kapp and ADC for predicting high-aggressive(Gleason score>4+3)PCa was analyzed by ROC regression.Results There were 29 low-aggressive and 33 high-aggressive PCa on pathologic findings.High-aggressive PCa had significantly lower ADC[(0.764 ± 0.114)×10-3mm2/s vs(0.825 ± 0.116)×10-3mm2/s,P=0.004],lower Dapp[(1.212 ± 0.194)×10-3mm2/s vs (1.472 ± 0.297)×10-3mm2/s,P< 0.001],while higher Kapp(1.114 ± 0.177 vs 0.835 ± 0.192,P<0.001)than that for low-aggressive PCa.Dapp and Kapp had significantly higher sensitivity(Dapp:75.3%;Kapp:74.1%),specificity(Dapp:85.4%;Kapp:86.7%)and area under curve(AUC)(Dapp:0.889;Kapp:0.894)than that for ADC(64.1%;76.4%;0.738;P<0.01)in differentiating low-aggressive from high-aggressive PCa.Conclusion DKI can be a reliable way for predicting high-aggressive PCa.
ABSTRACT
Objective To survey the correlation among ADR performances of Shuxuening injection(SXN injection ) based on ADR reports and literature data by rough set theory(RST). Methods By collecting 468 ADR reports of SXN injection,data attribute reduction were processed by Rossata software,and the generated rules and each indicator were analyzed. Results 9 main indicators,which mainly belongs to medication information,had a strong relationship with ADR.There was a correlation among ADR performances.Relationship could also found between performances and medication information. Conclusion The results of the study provide reference for clinical reasonable application of SXN injection,and enrich the research method of ADR.
