Objective To observe the value of whole brain CT perfusion(CTP)-derived arterial phase images combined with artificial intelligence iterative reconstruction(AIIR)for evaluating acute ischemic stroke(AIS).Methods Fifty AIS patients were prospectively enrolled,and whole brain CTP followed by routine CT angiography(CTA)were performed.CTP images were reconstructed using AIIR(CTP-AIIR group)and hybrid iterative reconstruction(HIR,CTP-HIR group),respectively,and CTA images were derived from CTP at the arterial phase.Meanwhile,routine CTA images were obtained using HIR(CTA-HIR group).Then image quality was subjectively evaluated with a 5-point scale.The noise of basilar artery trunk,cavernous segment of internal carotid artery,M1 segment of middle cerebral artery and the brain parenchyma were calculated,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the above 3 arteries were measured.Taken digital subtraction angiography as the reference standard,the accuracy of CTP and CTA for localizing the responsible vessel of AIS was assessed.Results In CTP-AIIR group,the subjective scoring of 4 subjective metrics,including image noise,sharpness of vessel margin,small vessel visibility and overall diagnosability were significantly higher than,the noise of 3 arteries and brain parenchyma were lower than,and SNR and CNR of 3 arteries were higher than those in CTP-HIR group and CTA-HIR group(all P＜0.017).The diagnostic accuracy of responsible vessel based on CTP-AIIR group and CTA-HIR group were both 96.00％ (48/50),not significantly different with that in CTP-HIR group(44/50,88.00％ )(P=0.142).Conclusion Whole brain CTP-derived arterial phase CTA combined with AIIR could achieve comparable image quality and diagnostic performance of routine CTA for evaluating AIS.

Objective To observe the value of whole brain CT perfusion(CTP)-derived arterial phase images combined with artificial intelligence iterative reconstruction(AIIR)for evaluating acute ischemic stroke(AIS).Methods Fifty AIS patients were prospectively enrolled,and whole brain CTP followed by routine CT angiography(CTA)were performed.CTP images were reconstructed using AIIR(CTP-AIIR group)and hybrid iterative reconstruction(HIR,CTP-HIR group),respectively,and CTA images were derived from CTP at the arterial phase.Meanwhile,routine CTA images were obtained using HIR(CTA-HIR group).Then image quality was subjectively evaluated with a 5-point scale.The noise of basilar artery trunk,cavernous segment of internal carotid artery,M1 segment of middle cerebral artery and the brain parenchyma were calculated,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the above 3 arteries were measured.Taken digital subtraction angiography as the reference standard,the accuracy of CTP and CTA for localizing the responsible vessel of AIS was assessed.Results In CTP-AIIR group,the subjective scoring of 4 subjective metrics,including image noise,sharpness of vessel margin,small vessel visibility and overall diagnosability were significantly higher than,the noise of 3 arteries and brain parenchyma were lower than,and SNR and CNR of 3 arteries were higher than those in CTP-HIR group and CTA-HIR group(all P＜0.017).The diagnostic accuracy of responsible vessel based on CTP-AIIR group and CTA-HIR group were both 96.00％ (48/50),not significantly different with that in CTP-HIR group(44/50,88.00％ )(P=0.142).Conclusion Whole brain CTP-derived arterial phase CTA combined with AIIR could achieve comparable image quality and diagnostic performance of routine CTA for evaluating AIS.

Objective To investigate the expression of PHLPP in non-small cell lung cancer (NSCLC)and its correla-tions of clinicopathological characteristics. Methods All of 82 tissue specimens with NSCLC were examined with im-munohistochemical staining, and the results of IHC were analyzed with the clinicopathologic characteristics. Results PHLPP mainly expressed on the cell membrane. The rate of PHLPP expression was negative in 63%, poor in 11%, moderate in 10% and strong in 16%, respectively. The expression of PHLPP was significantly correlated with differen-tiation, but not with age, smoking states, pathological type and stage. Conclusion The positive expression rate of PHLPP is 37%in human NSCLC tissue specimens and was correlated with histological differentiation .

Objective To observe the clinical efficacy of recombinant human endostatin (endostar)combined with intravenous chemotherapy and intraperitoneal hyperthermic perfusion chemotherapy for advanced ovarian cancer (AOC).Methods Sixty-one patients with AOC were divided into treatment group (31 cases) and control group (30 cases) by table of random digit.The treatment group was given endostar +TP project (paclitaxel intravenous chemotherapy + cisplatin intraperitoneal hyperthermic perfusion chemotherapy).The control group was given endostar + TP project (paclitaxel and cisplatin intravenous chemotherapy).The recurrence rate,survival rate,improvement of quality of life (QOL) and drug side effects were observed in two groups.Results The improvement rate of QOL in treatment group was significantly higher than that in control group [64.5％(20/31) vs.33.3％(10/30),x2 =5.931,P=0.015].The 1-year and 2-year recurrence rate in treatment group were significantly lower than those in control group [17.2％(5/29)vs.41.4％(12/29),34.5％(10/29) vs.62.1％(18/29),P=0.043 and 0.036].The 1-year and 2-year survival rate in treatment group were significantly higher than those in control group [93.1％(27/29) vs.72.4％(21/29),79.3％ (23/29) vs.51.7％ (15/29),P =0.037 and 0.027].The incidence of nausea and vomiting in treatment group was significantly lower than that in control group [67.7％ (21/31) vs.93.3％ (28/30),P =0.012],there was no significant differences in bone marrow suppression,hair loss and liver and renal injury incidence between two groups (P ＞0.05).Conclusion Endostar combined with intravenous chemotherapy and intraperitoneal hyperthermic perfusion chemotherapy for AOC is safe and effective,and can improve patients' QOL,reduce the rate of recurrence and prolong survival time.