ABSTRACT
Objective The study aims to investigate the effects of different adaptive statistical iterative reconstruction-V（ ASiR-V） and convolution kernel parameters on stability of CT auto-segmentation which is based on deep learning. Method Twenty patients who have received pelvic radiotherapy were selected and different reconstruction parameters were used to establish CT images dataset. Then structures including three soft tissue organs (bladder, bowelbag, small intestine) and five bone organs (left and right femoral head, left and right femur, pelvic) were segmented automatically by deep learning neural network. Performance was evaluated by dice similarity coefficient（ DSC） and Hausdorff distance, using filter back projection(FBP) as the reference. Results Auto-segmentation of deep learning is greatly affected by ASIR-V, but less affected by convolution kernel, especially in soft tissues. Conclusion The stability of auto-segmentation is affected by parameter selection of reconstruction algorithm. In practical application, it is necessary to find a balance between image quality and segmentation quality, or improve segmentation network to enhance the stability of auto-segmentation.
Subject(s)
Humans , Algorithms , Image Processing, Computer-Assisted , Neural Networks, Computer , Radiation Dosage , Tomography, X-Ray ComputedABSTRACT
Objective To explore the urine BLCA-4 test application in the early diagnosis of bladder canc-er.Methods The patient is made up of three groups,62 cases of bladder cancer group,71 cases of bladder be-nign lesions group and 80 cases of healthy physical examination,morning urine specimen collection,ELISA was used to detection BLCA-4 content in morning urine,Statistical analysis differences of urine BLCA-4 ex-pression between three groups,and analysis the relationship between urine BLCA-4 content and the patients with bladder cancer clinical pathological indicators.Results Urine bladder cancer group BLCA-4 levels was higher than the bladder benign lesion group and healthy physical examination group(P<0.05),but no statisti-cal differences between bladder benign lesion group and healthy physical examination group(P>0.05).There is no statistical differences between stage Ta,stage T1-T2 and stage T3-T4,also no statistical differences be-tween G1 and G2-G3;The patients who tumor diameter≥3.0 cm patients urine BLCA-4 levels was higher than tumor diameter < 3.0 cm group(P< 0.05),The sensitivity、specificity and accuracy of diagnosis of urine BLCA-4 test in diagnosis of bladder cancer respectively,95.16%(59/62),97.35%(147/151)and 96.71%(206/213).Conclusion Urine BLCA-4 test has good sensitivity and specificity in diagnosis of bladder cancer, it is very important in bladder cancer screening and monitoring of recurrence of bladder cancer.
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[Abstract ] Objective To understand the identification and in vitro antifungal susceptibility of Penicillium marneffei(PM)in yeast phase,and guide clinic antifungal application.Methods Strains isolated from blood and bone marrow of 23 patients infected with PM in a hospital between 2009 and 2016 were collected,colony morpholo-gy of PM in yeast phase was observed,susceptibility to itraconazole,voriconazole,amphotericin B,and fluconazole were detected with E-test method.Results Colony morphology of PM were as follows:direct microscopic examina-tion of Wright’s staining of tissue specimens found visible oval or round spore with apparent septum,and mainly lo-cated in macrophage;Gram staining of blood culture specimens found that strains were with bulbous and slightly curved ends,occasionally branched and with septum. PM was dimorphic fungi,presented mycelium at 28° C,pro-duced red pigment and diffused into medium;PM presented yeast form at 35° C,there were typical colony morpholo-gy. Minimum inhibitory concentrations (MICs)of itraconazole,voriconazole,amphotericin B,and fluconazole to PM in yeast phase were 0.002-0.016,0.012-0.125,0.002-0.500,and 0.500-16.000μg/mL respectively. Conclusion Typical colony morphology and fungal spore of PM in bone marrow and peripheral blood are important features for identification. PM is most susceptible to itraconazole,followed by voriconazole and amphotericin B, while fluconazole is less susceptible.
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Objective:To study the effect of alum on immune response in mice induced by HBoV1 VP2 VLPs.Methods:BABL/c mice were randomly divided into VLPs experimental group, alum adjuvant experimental group, PBS control group and alum adjuvant control group,the experimental group mice were intramuscular immunization with HBoV1 VP2 VLPs and HBoV1 VP2 VLPs added alum,control group mice were immunization with alum or PBS buffer,then to study the effect of alum on immune response in mice induced by HBoV1 VP2 VLPs by cellular and humoral immune strength.Results: Alum adjuvant decreased cellular immune response induced by HBoV1 VP2 VLPs(P<0.001),enhance the HBoV1 VP2 VLPs immuned serum IgG titer(P<0.05)and IgG activity(P<0.01).Conclusion:Alum adjuvant can enhance humoral immune response induced by HBoV1 VP2 VLPs,but weaken cellular immune response induced by HBoV1 VP2 VLPs,when HBoV1 VP2 VLPs used as a prophylactic vaccine it should add alum adjuvant,when used as a therapeutic vaccine,it should not add alum adjuvant.