Objective:To evaluate whether the reconstructed image on the basis of deep learning(DL)can improve the success rate and display quality of automatic segmentation of computed tomography(CT)with ultralow dose for chest of children on airway.Methods:The clinical data of 41 consecutive cases who adopted ultralow dose CT to underwent reexamination on chest at Beijing Children's Hospital,Capital Medical University from February 2020 to September 2020 were selected,whose average age was(4.43±1.61 years).The scan protocol of ultralow dose CT was(0.05 mGy).The reconstructed images included 6 groups,which were respectively filtered reflection projection(FBP)image with 0.625 mm thickness,50%adaptive iterative recombination(ASIR-V)images,100%ASIR-V images,low energy DL(DL-L),medium energy DL(DL-M),and high energy DL(DL-H).The automatically segmentation software was used to conduct automatically segmentation for airway,and the success rate of automatic segmentation was recorded.For images that were successful segmented,a 5-point scale was adopted to subjectively evaluate the displayed quality for airway(5 point is the best).In addition,the CT values and noise values of the images of 6 groups for airway were objectively measured.Results:The success rate of automatic segmentation of DL-H image was the highest(60.98%),and that of the 100%ASIR-V was the lowest(39.02%).The subjective score of DL-H image of the automatic segmentation was the highest(4.06±0.55)point,and that of 100%ASIR-V was the lowest(2.44±0.76)point.DL-H can display more fine and small airways.The noise values of objective measurement showed that both of DL-H and 100%ASIR-V had the lowest noise value,and there was no statistical difference in that between them.Conclusion:The use of high energy deep learning iterative reconstruction(DLIR)algorithm can improve the success rate and display effect of automatic segmentation of ultralow dose CT for chest of children on airway,and DLIR is contribute to improve the accuracy of automatic segmentation algorithm of artificial intelligence.

Patients with severe periodontal disease often involve multidisciplinary therapy.This paper reports a case of adult patients with severe periodontitis who was treated by orthodontics,restoration,and periodontics.The space between upper central incisors was closed,aesthetics and periodontal conditions were significantly improved.

Objective To investigate the therapeutic effects of the newly developed phosphodiesterase 5 inhibitor,CPD1,on pathological myocardial hypertrophy induced by abdominal aortic constriction(AAC)in rats,and its impact on activation of the autophagy signaling pathway in myocardial tissue.Methods Male Sprague Dawley rats weighing 180～200 g were divided randomly into five groups:Control,Sham,model(AAC),CPD1 treatment(AAC-CPD1,5 mg/kg),and sildenafil treatment(AAC-Sif,20 mg/kg)groups.Rats in all groups except the Control group underwent blunt dissection of the abdominal aorta at the branch point of the left renal artery.Rats in the AAC and treatment groups also underwent constriction and ligation surgery,while rats in the Sham group underwent dissection without ligation.After 3 days of modeling,rats in the treatment groups received either CPD1 or sildenafil via gavage,while rats in the Control,Sham,and AAC groups received an equal volume of physiological saline by gavage,once daily for 8 weeks.Small-animal ultra-high-resolution echocardiography and left ventricular catheterization were employed to assess left heart function and the heart mass index,and expression levels of the hypertrophy indicator,atrial natriuretic peptide(ANP),the key autophagy pathway factor,p62,and LC3A/B in rat left heart tissue were evaluated by Western blot and reverse transcription-polymerase chain reaction.Results Abdominal aortic stenosis affected left heart function in rats,characterized by an increased cardiac mass index and significant enlargement of myocardial cell cross-sectional area.ANP expression levels in left heart tissue were significantly elevated(P＜0.05),while autophagy signaling activity was reduced,with notable accumulation of LC3Ⅰprotein and reduced conversion to LC3Ⅱ.Expression levels of p62 protein were significantly increased.CPD1 and sildenafil significantly improved left ventricular function in AAC rats,reduced cardiac hypertrophy,inhibited expression levels of ANP and p62 proteins(P＜0.05),activated autophagy signaling,and promoted the conversion of LC3Ⅰ to LC3Ⅱ.Notably,low-dose CPD1 treatment was equivalent to high-dose sildenafil.Conclusions CPD1 promotes the activation of the autophagy signaling pathway in left heart tissue,inhibits the expression of p62 and ANP,reduces the cross-sectional area of myocardial cells,and improves pathological myocardial hypertrophy and left heart function impairment caused by AAC.CPD1 also has the advantage of a lower effective dose compared with sildenafil,offering a new treatment option for pathological myocardial hypertrophy.

Application of invisible orthodontic appliances in the treatment of adult skeletal malocclusions,especially in the cases requiring tooth extraction,has always been one of the challenges in invisible orthodontic technology.Our department received a 30-year-old female patient in March 2019;the patient presented with complaints of"crooked teeth and protruding mouth,"seeking orthodontic treatment to improve her facial profile.The patient had bilateral distal molar relationship,proclined maxillary and mandibular anterior teeth,and deep overjet;radiographic examination revealed an ANB angle of 6.2°,indicating a skeletal Class Ⅱ malocclusion.By extracting four first premolars and using four miniscrews,after 20 months of treatment,the extraction spaces were fully closed,the dental arch was aligned,and the occlusal relationship was favorable;the anterior teeth were retracted,the mandible showed a reverse rotation,and the soft tissue profile was significantly improved.Application of invisible orthodontic appliances in conjunction with miniscrews anchorage can achieve good three-dimensional control of tooth movement in adult extraction cases,providing a reference for clinical practitioners treating such patients.

Patients with severe periodontal disease often involve multidisciplinary therapy.This paper reports a case of adult patients with severe periodontitis who was treated by orthodontics,restoration,and periodontics.The space between upper central incisors was closed,aesthetics and periodontal conditions were significantly improved.

Objective:To evaluate whether the reconstructed image on the basis of deep learning(DL)can improve the success rate and display quality of automatic segmentation of computed tomography(CT)with ultralow dose for chest of children on airway.Methods:The clinical data of 41 consecutive cases who adopted ultralow dose CT to underwent reexamination on chest at Beijing Children's Hospital,Capital Medical University from February 2020 to September 2020 were selected,whose average age was(4.43±1.61 years).The scan protocol of ultralow dose CT was(0.05 mGy).The reconstructed images included 6 groups,which were respectively filtered reflection projection(FBP)image with 0.625 mm thickness,50%adaptive iterative recombination(ASIR-V)images,100%ASIR-V images,low energy DL(DL-L),medium energy DL(DL-M),and high energy DL(DL-H).The automatically segmentation software was used to conduct automatically segmentation for airway,and the success rate of automatic segmentation was recorded.For images that were successful segmented,a 5-point scale was adopted to subjectively evaluate the displayed quality for airway(5 point is the best).In addition,the CT values and noise values of the images of 6 groups for airway were objectively measured.Results:The success rate of automatic segmentation of DL-H image was the highest(60.98%),and that of the 100%ASIR-V was the lowest(39.02%).The subjective score of DL-H image of the automatic segmentation was the highest(4.06±0.55)point,and that of 100%ASIR-V was the lowest(2.44±0.76)point.DL-H can display more fine and small airways.The noise values of objective measurement showed that both of DL-H and 100%ASIR-V had the lowest noise value,and there was no statistical difference in that between them.Conclusion:The use of high energy deep learning iterative reconstruction(DLIR)algorithm can improve the success rate and display effect of automatic segmentation of ultralow dose CT for chest of children on airway,and DLIR is contribute to improve the accuracy of automatic segmentation algorithm of artificial intelligence.

Objective To investigate the therapeutic effects of the newly developed phosphodiesterase 5 inhibitor,CPD1,on pathological myocardial hypertrophy induced by abdominal aortic constriction(AAC)in rats,and its impact on activation of the autophagy signaling pathway in myocardial tissue.Methods Male Sprague Dawley rats weighing 180～200 g were divided randomly into five groups:Control,Sham,model(AAC),CPD1 treatment(AAC-CPD1,5 mg/kg),and sildenafil treatment(AAC-Sif,20 mg/kg)groups.Rats in all groups except the Control group underwent blunt dissection of the abdominal aorta at the branch point of the left renal artery.Rats in the AAC and treatment groups also underwent constriction and ligation surgery,while rats in the Sham group underwent dissection without ligation.After 3 days of modeling,rats in the treatment groups received either CPD1 or sildenafil via gavage,while rats in the Control,Sham,and AAC groups received an equal volume of physiological saline by gavage,once daily for 8 weeks.Small-animal ultra-high-resolution echocardiography and left ventricular catheterization were employed to assess left heart function and the heart mass index,and expression levels of the hypertrophy indicator,atrial natriuretic peptide(ANP),the key autophagy pathway factor,p62,and LC3A/B in rat left heart tissue were evaluated by Western blot and reverse transcription-polymerase chain reaction.Results Abdominal aortic stenosis affected left heart function in rats,characterized by an increased cardiac mass index and significant enlargement of myocardial cell cross-sectional area.ANP expression levels in left heart tissue were significantly elevated(P＜0.05),while autophagy signaling activity was reduced,with notable accumulation of LC3Ⅰprotein and reduced conversion to LC3Ⅱ.Expression levels of p62 protein were significantly increased.CPD1 and sildenafil significantly improved left ventricular function in AAC rats,reduced cardiac hypertrophy,inhibited expression levels of ANP and p62 proteins(P＜0.05),activated autophagy signaling,and promoted the conversion of LC3Ⅰ to LC3Ⅱ.Notably,low-dose CPD1 treatment was equivalent to high-dose sildenafil.Conclusions CPD1 promotes the activation of the autophagy signaling pathway in left heart tissue,inhibits the expression of p62 and ANP,reduces the cross-sectional area of myocardial cells,and improves pathological myocardial hypertrophy and left heart function impairment caused by AAC.CPD1 also has the advantage of a lower effective dose compared with sildenafil,offering a new treatment option for pathological myocardial hypertrophy.

Objective To explore the effect of cannabinoid receptor 2(CB2)on orthodontic tooth movement(OTM)rate and periodontal tissue reconstruction of pressure area in mice.Methods Thirty CB2-/-male mice and thirty littermate control WT male mice were individually accepted the orthodontic appliance at their age of 6 weeks.The mice were respectively scarified at 3 days,7 days,14 days and 21 days after the operation.Then the tooth movement distance was examined through the stereomicroscope.Hematoxylin-eosin staining was performed to explore the biological responses of periodontium at the distal mesial root pressure area.Anti-tartrate acid phospha-tase staining was performed to calculate the number and distribution of osteoclasts at the distal mesial root pressure area,and MMP-9 was evaluated by immunohistochemistry to examine the number of MMP-9(+)monocytes and multinucleated cells in the same district as the TRAP staining.Results Compared with those WT mice at 3,7,14 and 21 days,OTM distance showed a gradual increased tendency according with experimental time over 21 days.The widths of periodontal ligament on the pressure side were markedly greater in CB2-/-mice than WT mice at 7,14 and 21 days(P＜0.000 1).The numbers of TRAP positive osteoclasts were significantly greater in CB2-/-mice than those in WT mice at 14 days of OTM(P＜0.001).MMP-9 immunohistochemical staining showed that the number of MMP-9(+)monocytes and multinucleated cells was more in CB2-/-mice than that in WT mice at 14 days of OTM(P＜0.05).Conclusion The absence of CB2 accelerates orthodontic tooth movement under or-thodontic force.The absence of CB2 reinforces bone resorption in orthodontic tooth movement compressive area dur-ing orthodontic tooth movement.

Purpose To evaluate the image quality improvement of deep learning iterative reconstruction(DLIR)on pediatric head CT images of head injury and to evaluate the performance of DLIR and conventional adaptive statistical iterative reconstruction-veo(ASIR-V)of noise and image texture of CT image in children's head trauma.Materials and Methods A total of 80 cases in Beijing Children's Hospital,Capital Medical University from December 7th to 11th 2020 of children's head low-dose CT were retrospectively selected.Scan voltage was 120 kV.Scan current was 150-220 mA.The raw data were reconstructed into 5 mm thick slice and 0.625 mm thin slice brain window and bone window images.50%ASIR-V and high weight DLIR images(DL-H)were reconstructed,respectively.A 4-point system was used to subjectively evaluate the display of sulcus,brain matter and bone.The number of lesions in each group was counted.The CT value and image noise values of gray matter and white matter were measured,and the contrast to noise ratio was calculated,then measured the blur metric index was measured in the same slice.The differences between the two image reconstruction methods were compared.Results Compared to 50%ASIR-V images,DL-H significantly improved the display ability of the sulcus and ventricles,as well as the display ability of the brain parenchyma(W=5.5-22.2,all P<0.05)in both slice thickness.There was no statistically significant difference in the display ability of the sulcus and ventricles between 5 mm 50%ASIR-V and 0.625 mm DL-H images(W=0.9,2.0,P=0.32,0.05,respectively).In terms of bone display ability,all images could achieve a maximum score of 4.0.A total of 35 lesions were found in 80 patients via 5 mm 50%ASIR-V and DL-H images,including 12 hemorrhagic lesions,1 intracranial gas,9 fractures,and 13 soft tissue swelling.In terms of objective evaluation,the noise level of DL-H images was significantly lower than that of 50%ASIR-V images(t=21.4-35.7,all P<0.05),and there was no statistically significant difference in noise and contrast noise ratio between 5 mm 50%ASIR-V and 0.625 mm DL-H images(t=1.7-2.2,all P≥0.05).The blur metric index showed that DL-H was superior to 50%ASIR-V images(t=6.1,10.0,both P<0.05),and there was no statistically significant difference in blur metric index between 0.625 mm DL-H and 5 mm 50%ASIR-V images(t=2.6,P=0.28).Conclusion DLIR can improve the CT image quality and image texture of children's head trauma,0.625 mm DL-H image quality is close to 5 mm 50%ASIR-V image,which can meet the diagnostic requirements,and possible to further reduce the radiation dose.

Extracellular vesicles (EVs) have recently received much attention about the application of drug carriers due to their desirable properties such as nano-size, biocompatibility, and high stability. Herein, we demonstrate orange-derived extracellular vesicles (OEV) nanodrugs (DN@OEV) by modifying cRGD-targeted doxorubicin (DOX) nanoparticles (DN) onto the surface of OEV, enabling significantly enhancing tumor accumulation and penetration, thereby efficiently inhibiting the growth of ovarian cancer. The obtained DN@OEV enabled to inducement of greater transcytosis capability in ovarian cancer cells, which presented the average above 10-fold transcytosis effect compared with individual DN. It was found that DN@OEV could trigger receptor-mediated endocytosis to promote early endosome/recycling endosomes pathway for exocytosis and simultaneously reduce degradation in the early endosomes-late endosomes-lysosome pathway, thereby inducing the enhanced transcytosis. In particular, the zombie mouse model bearing orthotopic ovarian cancer further validated DN@OEV presented high accumulation and penetration in tumor tissue by the transcytosis process. Our study indicated the strategy in enhancing transcytosis has significant implications for improving the therapeutic efficacy of the drug delivery system.