Objective:To explore the application of biomechanics principle in the repair of double eyelid disappearance after blepharoplasty.Methods:A retrospective analysis was performed on 47 patients (46 females and 1 male) with double eyelid disappearance after blepharoplasty in the Department of Plastic and Cosmetic Surgery, Friendship Plastic Surgical Hospital from July 2018 to December 2022. The patients aged from 19-42 (28±8) years. The repair surgery was performed by increasing the mechanical factors that promoted the double eyelid formation or weakening the mechanical factors that inhibited the double eyelid formation. The overall satisfaction with ocular appearance, and psychological well-being and social function were evaluated with the Face-Q qustionnaires before or after operation.Results:By following-up for 3-24 months, the morphology of upper eyelids in all 47 patients were remarkably improved. 2 patients complained about asymmetry and 1 patient had multiple creases, for whom satisfactory results achieved after re-operation. The remaining patients presented smooth natural double eyelid line, and concave groove deformity when eyes closed were not noticed. The operative effects were satisfactory. After surgery, the scores for ocular satisfaction with facial appearance, psychological well-being and social function were (69.5±10.3), (75.5±13.6) and (68.3±11.3) scores, which were significantly increased than those before operation [(38.7±9.3), (54.8±10.5) and (52.3±8.7) scores], respectively (all P<0.05). Conclusion:More effective and reliable operation results can be obtained in the repair strategies of double eyelid disappearance after blepharoplasty by utilizing the biomechanical mechanism.

Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

Objective:To analyze genioglossus (GG) activation responses to the negative pressure of upper airway cavity during awake and different sleep stages in patients with different obstructive sleep apnea (OSA) graduation.Methods:This prospective cohort study started from August 2019 to January 2021, recruited 42 male OSA patients aged from 21 to 59 (38.77±8.42) years. After completing whole night polysomnography (PSG) and upper airway CT, each subject underwent drug-induced sleep with simultaneous monitoring of genioglossal electromyography (GGEMG) and pressure of epiglottis (P epi). Subjects were divided into three groups of mild OSA(7 males), moderate OSA(12 males), and severe OSA(23 males). The differences in upper airway CT measurements, parameters of GGEMG and P epi during awake and induced sleep were compared. Statistical analysis was conducted by SPSS 21.0. Results:There was no significant difference in the GGEMG parameters between the mild and moderate groups. In wakefulness, the peak phasic GGEMG of the severe group was higher than the mild group ( t=1.249, P=0.025), with no statistically difference in the corresponding P epi. In the sleep onset, the GGEMG parameters and P epi in severe group were higher than the other two groups. Linear regression analysis of the maximum GGEMG and maximum P epi at the end of obstructive apnea (OA) in all moderate plus severe patients ( n=35) was shown nonlinear correlation ( r=0.28, P=0.694). The airway length of the glossopharyngeal cavity was linearly correlated with the maximum P epi of OA ( r=0.468, R2=0.219, P=0.005). Conclusions:The individual difference of GG activation in OSA patients is related to the severity of the disease (frequency of respiratory events) and negative pressure stimulation. In moderate and severe OSA patients, GG activity is not in harmony with the corresponding negative pressure stimulation, which may be one of the mechanisms leading to the aggravation of OSA.

Senescence of activated hepatic stellate cells (aHSCs) is a stable growth arrest that is implicated in liver fibrosis regression. Senescent cells often accompanied by a multi-faceted senescence-associated secretory phenotype (SASP). But little is known about how alanine-serine-cysteine transporter type-2 (ASCT2), a high affinity glutamine transporter, affects HSC senescence and SASP during liver fibrosis. Here, we identified ASCT2 is mainly elevated in aHSCs and positively correlated with liver fibrosis in human and mouse fibrotic livers. We first discovered ASCT2 inhibition induced HSCs to senescence in vitro and in vivo. The proinflammatory SASP were restricted by ASCT2 inhibition at senescence initiation to prevent paracrine migration. Mechanically, ASCT2 was a direct target of glutaminolysis-dependent proinflammatory SASP, interfering IL-1α/NF-κB feedback loop via interacting with precursor IL-1α at Lys82. From a translational perspective, atractylenolide III is identified as ASCT2 inhibitor through directly bound to Asn230 of ASCT2. The presence of -OH group in atractylenolide III is suggested to be favorable for the inhibition of ASCT2. Importantly, atractylenolide III could be utilized to treat liver fibrosis mice. Taken together, ASCT2 controlled HSC senescence while modifying the proinflammatory SASP. Targeting ASCT2 by atractylenolide III could be a therapeutic candidate for liver fibrosis.

Objective:To verify the clinical value of the good outcome following attempted resuscitation (GO-FAR) score in predicting the neurological status of patients with in-hospital cardiac arrest (IHCA) in the Chinese population.Methods:The clinical data of patients with IHCA who were admitted to the Zigong Fourth People's Hospital from January 1 to December 31, 2020 were retrospectively analyzed. Used Glasgow-Pittsburgh cerebral performance category (CPC) score 1 point as the end point, the subjects were divided into 4 groups according to the score: ≤ 0 group, 1-8 group, 9-20 group and ≥ 21 group. Taken the group which GO-FAR score ≤ 0 as the reference group, the odds ratio ( OR) of the other three groups compared with this group was calculated. The receiver operator characteristic curve (ROC curve) was performed to evaluate the predictive value of the GO-FAR score in favorable neurological outcome. A calibration curve was drawn for the Hosmer-Lemeshow test to analyze the degree of calibration of the GO-FAR score for predicting good neurological outcome. Results:A total of 230 IHCA patients were enrolled in the study, including 130 males, aged 74 (65, 81) years old, and 23 case (10.0%) had good neurological prognosis. There were statistically significant differences in GO-FAR-related variables, including age, a normal neurological function on admitted, acute stroke, metastatic cancer, septicemia, medical noncardiac admission, hepatic insufficiency, hypotension, renal insufficiency or dialysis, respiratory insufficiency, pneumonia, etc (all P < 0.05). Taken the GO-FAR score ≤ 0 group as the reference group, the OR values of good neurological prognosis in the GO-FAR score 1-8 group were 0.54 [95% confidence interval (95% CI) was 0.17-1.53, P = 0.250], 9-20 group were 0.17 (95% CI was 0.02-0.67, P = 0.009) and ≥ 21 group were 0.25 (95% CI was 0.05-0.85, P = 0.025). The area under the ROC curve (AUC) of the GO-FAR score for predicting favorable neurological outcome in IHCA patients was 0.653 (95% CI was 0.529-0.777, P = 0.015) and there was no significant difference in Hosmer-Lemeshow test ( P = 0.311). All these suggested that there was no significant difference between the predicted value and the actual value. Conclusions:GO-FAR score can be applied to predict neurological prognosis of IHCA patients in Chinese population. It can help clinicians to predict the prognosis of cardio-pulmonary resuscitation (CPR) and propose critical recommendations in treatment for these patients or their families.

The training program of radiation therapists in the United States has been established early, and the mode of training, qualification and continuing education are relatively complete. Literature review was conducted at home and abroad and United States Department of Labor, American Registry of Radiologic Technologists, American Society of Radiologic Technologists as well as Joint Review Committee on Education in Radiologic Technology websites were reviewed. The training mode, qualification, work content, continuing education and employment situation of American radiotherapists were analyzed, aiming to provide some reference and enlightenment for the establishment of a new model for the training of professional radiologists suitable for the national conditions of China Mainland.

【Objective】 To analyze the quality level of the laboratory pre-analytical phase, so as to take effective quality improvement interventions to further standardize the operation and provide basis for ensuring the quality of blood testing. 【Methods】 Pre-analytical phase quality indicators of blood screening laboratory in Shanghai Blood Center were established, and those had serious impact on blood safety were defined as the sentinel indicators. The pre-analytical quality level of our laboratory from 2018 to 2020 was statistically analyzed in terms of four parts including sample collection, preservation and submission, centrifugation and quality inspection, which contained 17 indicators. 【Results】 Eleven sentinel indicators were established, and the order of peak value from high to low in three years was as follows: " label omission" rated at 0.000 62% (2020), " label error" 0.000 57% (2018), " inappropriate storage of samples before detection" 0.007 39 (2018), " unqualified application form for sample detection" 0.007 39 (2018). The causes were analyzed and relevant measures were taken. Six monitoring indicators were established, and the order of peak value from high to low in three years was as follows: " insufficient sample" rated at 0.002 59% (year 2018), " hemolysis" 0.002 80% (year 2020), " pale color of blood supernatant (diluted)" 0.000 86 (2018), " automatic sampling interfered by blood clot" 0.027 02% (2018). 【Conclusion】 The quality indexes of pre-analytical phase in our laboratory have reached the level of domestic and international clinical laboratories. The establishment of pre-analytical quality indicators and sentinel indicators, with effective analysis and application, can fully record and monitor the quality of each link before laboratory testing, which is helpful to timely identify risks, detect deviations, and quickly implement corrective and preventive measures, thus further ensure the safety of clinical blood use.

Objective:To discuss the influence of different computed tomography (CT) value assignment methods on dose calculation of intensity modulated radiotherapy (IMRT) plan which designed for nasopharyngeal carcinoma (NPC) and the value assignment methods of IMRT plan for NPC based on magnetic resonance (MR) images.Methods:Simulation CT and MR image of 32 NPC patients in Shandong Cancer Hospital from March 2018 to November 2018 were selected for this study. Populate CT values were obtained by contouring and analyzing the simulation CT of patients′ tissue, including bone, air, brain, eyeball, optic-nerve, lens, parotid, masseter, skin. Pseudo-CT were generated by different CT value assignment methods: CT1: CT value of all tissues was set to 0HU; CT2: CT value of air cavity was set to populate CT value based on CT1; CT3: CT value of Bone was set to populate CT value based on CT2; CT4: CT value of each soft tissue were set to populate CT value based on CT3. The IMRT plan for NPC as Plan0 was designed base on simulation CT. Then Plan0 was transplanted to four pseudo-CT to recalculate the dose and obtain Plan1, Plan2, Plan3 and Plan4, the differences of dosimetric parameters were compared with Plan0. NPC-IMRT plan was designed base on MR images by using the assignment method with CT value of each tissue were set to populate CT value.Results:In the head and neck CT images, the average populate CT values of bone and cavity were 621 HU and -720 HU, respectively. The populate CT values of other soft tissue ranges from -20 HU to 70 HU. The differences of dosimetric indexes of Plan1, Plan2, Plan3, Plan4 decreased sequentially compare to Plan0, the difference of the dosimetry parameters of Plan4 and Plan0 was the smallest. The differences of PTV D 99, PTV D 95, isocenter dose, D mean of all tissues, D max of bilateral eye balls, D max of bilateral lens, D max of bilateral optic nerves, D mean of bilateral parotid, V 20 of bilateral parotid, D 50 of bilateral parotid, D max of spinal cord, D max of brainstem, D 5 of brainstem between Plan4 and Plan0 were all less than 1%. The difference of V 30 in bilateral parotid between Plan4 and Plan0 was less than 1.5%. In the comparison of the pixel dose distribution, the regions of dose distribution difference greater than 1% mainly distributed in the air cavity, bone periphery and the skin. The target area of the IMRT plan for NPC based on MR images met 95% of the prescribed dose, and the dose of each organ at risk was within the dose limit. Conclusions:The assignment method of each tissue and organs set to populate CT value compared with other methods has the least influence on the dose calculation of NPC-IMRT plan, which could meet the clinical requirements. Therefore, it should be the first choice of assignment method when designing NPC-IMRT plan based on MR image.

Objective:To discuss the influence of different computed tomography (CT) value assignment methods on dose calculation of intensity modulated radiotherapy (IMRT) plan which designed for nasopharyngeal carcinoma (NPC) and the value assignment methods of IMRT plan for NPC based on magnetic resonance (MR) images.Methods:Simulation CT and MR image of 32 NPC patients in Shandong Cancer Hospital from March 2018 to November 2018 were selected for this study. Populate CT values were obtained by contouring and analyzing the simulation CT of patients′ tissue, including bone, air, brain, eyeball, optic-nerve, lens, parotid, masseter, skin. Pseudo-CT were generated by different CT value assignment methods: CT1: CT value of all tissues was set to 0HU; CT2: CT value of air cavity was set to populate CT value based on CT1; CT3: CT value of Bone was set to populate CT value based on CT2; CT4: CT value of each soft tissue were set to populate CT value based on CT3. The IMRT plan for NPC as Plan0 was designed base on simulation CT. Then Plan0 was transplanted to four pseudo-CT to recalculate the dose and obtain Plan1, Plan2, Plan3 and Plan4, the differences of dosimetric parameters were compared with Plan0. NPC-IMRT plan was designed base on MR images by using the assignment method with CT value of each tissue were set to populate CT value.Results:In the head and neck CT images, the average populate CT values of bone and cavity were 621 HU and -720 HU, respectively. The populate CT values of other soft tissue ranges from -20 HU to 70 HU. The differences of dosimetric indexes of Plan1, Plan2, Plan3, Plan4 decreased sequentially compare to Plan0, the difference of the dosimetry parameters of Plan4 and Plan0 was the smallest. The differences of PTV D 99, PTV D 95, isocenter dose, D mean of all tissues, D max of bilateral eye balls, D max of bilateral lens, D max of bilateral optic nerves, D mean of bilateral parotid, V 20 of bilateral parotid, D 50 of bilateral parotid, D max of spinal cord, D max of brainstem, D 5 of brainstem between Plan4 and Plan0 were all less than 1%. The difference of V 30 in bilateral parotid between Plan4 and Plan0 was less than 1.5%. In the comparison of the pixel dose distribution, the regions of dose distribution difference greater than 1% mainly distributed in the air cavity, bone periphery and the skin. The target area of the IMRT plan for NPC based on MR images met 95% of the prescribed dose, and the dose of each organ at risk was within the dose limit. Conclusions:The assignment method of each tissue and organs set to populate CT value compared with other methods has the least influence on the dose calculation of NPC-IMRT plan, which could meet the clinical requirements. Therefore, it should be the first choice of assignment method when designing NPC-IMRT plan based on MR image.

Objective:To explore the risk factors for mortality in pediatric acute respiratory distress syndrome (PARDS) requiring extracorporeal membrane oxygenation (ECMO) support.Methods:Clinical data of 109 patients with severe PARDS supported by ECMO, who were hospitalized in 6 ECMO centers in China from September 2012 to February 2020, were retrospectively analyzed. They were divided into survival group and death group according to the prognosis. Chi-square test and rank sum test were used to compare the variables between the two groups, including the demographic data, laboratory examination results, clinical data before and after ECMO, and other supportive treatment. Univariate and multivariate Logistic regression models were used to analyze the prognostic risk factors.Results:In these 109 cases, 54 died and 55 survived. Compared with the survival group, the death group had higher incidences of acute kidney injury (AKI) (48.1% (26/54) vs. 21.8% (12/55) , χ2=8.318, P=0.004) and coagulation dysfunction (22.2% (12/54) vs. 7.3% (4/55) , χ2=4.862, P=0.027), and higher rate of renal replacement therapy (48.1% (26/54) vs. 21.8% (12/55) , χ2=9.694, P=0.008) during ECMO support. Logistic regression analysis showed that continuous renal replacement therapy (CRRT) and AKI were independent risk factors for death in patients with severe PARDS requiring ECMO support ( HR=3.88,95% CI 1.04-14.52, HR=4.84,95% CI 1.21-19.46, both P<0.05). Conclusion:AKI and CRRT are independent risk factors for predicting mortality in patients with severe PARDS requiring ECMO support.