As a fundamental aspect of bone fracture treatment, fracture reduction plays a decisive role in restoring the structural integrity and function of bones. At present, fracture reduction techniques mostly rely on semi-automatic interaction methods or healthy-side bone templates for registration, which have many limitations in clinical practice. In order to enhance treatment efficiency and accuracy, an automatic fracture reduction algorithm is proposed. This algorithm utilizes the similarity of fracture cross-sections for registration, thereby reducing the workload of physicians and eliminating the need for a healthy-side bone template. Initially, the closed edge is identified and extracted by analyzing the differences in the fracture surface and the calorific value diagram of the roughness distribution. Next, the fracture section is determined by using the identified closed edge as a guideline for regional expansion and similarity matching. During the registration phase, the iterative closest point (ICP) algorithm is highly sensitive to distance. Therefore, the geometric features of point clouds are incorporated into the objective function of the registration algorithm to mitigate the influence of noise, and fracture section registration is implemented one by one. Finally, the algorithm is tested and compared on 180 simulated datasets and 16 publicly available datasets. The results show that the proposed algorithm significantly improves the registration accuracy, and the registration error of clinical bone fracture cases is controlled within 1.7 mm.
Algorithms ; Fractures, Bone/therapy* ; Humans

[Objective] To compare the characteristics of platelet-rich plasma derived exosomes (PRP-Exos) under different activation conditions and their differential effects on the proliferation capacit of human microvascular endothelial cells (HMEC-1) and human skin fibroblasts (BJ). [Methods] Ten healthy volunteers were recruited, and 10 mL of venous blood anticoagulated with EDTA-K2 was collected. PRP-Exos were prepared and extracted by the secondary centrifugation method. Transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and Western blotting (WB) detection techniques were used to compare the morphological characteristics, particle size distribution, concentration, and the expression of surface marker proteins of PRP-Exos. Through in vitro cell culture, the differences in morphological changes and proliferation abilities of HMEC-1 and BJ cells induced by PRP-Exos in different activator groups were compared. [Results] 1) TEM observation showed that the morphologies of PRP-Exos in different activator groups were different. 2) NTA analysis showed that compared with the particle size of (109.60±2.71) nm in the normal saline group, the particle sizes of the thrombin group [(104.93±1.55) nm] and the mixed agent group [(103.83±1.58) nm] were relatively smaller, while the particle size of the calcium gluconate group [(113.57±4.70) nm] was larger and its particle size distribution range was wider. There were statistically significant differences among different groups (F=7.019, P<0.05). The concentration of exosomes obtained in the group with the mixture of calcium gluconate and thrombin was the highest [(4.87±0.63)×10⁶ particles/mL, P<0.001]. Both the thrombin group [(2.75±0.13)×10⁶ particles/mL, P < 0.01] and the calcium gluconate group [(3.82±0.06)×10⁶ particles/mL, P<0.001] obtained higher concentrations of exosomes compared with the normal saline group. The concentration in the calcium gluconate group was slightly higher than that in the thrombin group, and there was a significant difference between the two groups (P<0.05). 3) WB analysis showed that CD41, CD81, and TSG101 were expressed on the surface of PRP-Exos, and the protein signal intensities of CD41 and TSG101 in the group with the mixture of thrombin and calcium gluconate were the strongest (P<0.001). 4) The results of in vitro cell culture showed that PRP-Exos in the group with the mixture of thrombin and calcium gluconate could significantly promote the proliferation of HMEC-1 and BJ cells (P<0.05). [Conclusion] The PRP treated with the thrombin and calcium gluconate mixture group yielded the highest concentration of exosomes; under in vitro culture conditions, PRP-Exos from this group significantly promoted the proliferation of HMEC-1 and BJ cells.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

BACKGROUND:Growth factor is the key effect molecule that plays a role in platelet-rich plasma in clinical treatment.There are differences in the concentration of growth factor after different activators activate platelet-rich plasma,which is an important factor affecting clinical efficacy. OBJECTIVE:To analyze the influence of different activators on the mass concentration of growth factors in platelet-rich plasma. METHODS:Totally 12 healthy volunteers were recruited to collect EDTA-K2 anticoagulant venous blood.Secondary centrifugation was used to prepare platelet-rich plasma.The difference in mass concentrations of growth factors was compared between venous blood and platelet-rich plasma.The platelet-rich plasma was mixed with four activators(normal saline,thrombin,calcium gluconate,calcium gluconate+thrombin)according to the volume ratio of 10:1,and incubated in a constant temperature water bath at 37 °C for 30 minutes.After centrifugation,the supernatant was extracted and the mass concentration of growth factor was detected.The bacterial growth in supernatant was measured by blood agar plate.Pearson correlation was used to analyze the correlation between different activators and the mass concentration of growth factor in platelet-rich plasma,and the correlation between the value of thrombocytometer and the mass concentration of growth factors in platelet-rich plasma. RESULTS AND CONCLUSION:(1)The mass concentrations of platelet-derived growth factor-BB,platelet-derived growth factor-AB,vascular endothelial growth factor,and epidermal growth factor in platelet-rich plasma were 8.7,22.2,2.3,and 2.8 times of those in venous blood,respectively(P<0.05).(2)Compared with normal saline group,the mass concentrations of platelet-derived growth factor BB,platelet-derived growth factor AB,vascular endothelial growth factor,and epidermal growth factor were increased in the thrombin group,calcium gluconate group,and calcium gluconate+thrombin group(P<0.05).The mass concentration of platelet-derived growth factor BB in the thrombin group and calcium gluconate group was higher than that in the calcium gluconate+thrombin group(P<0.05),and the mass concentration of platelet-derived growth factor AB in the thrombin group was higher than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).Epidermal growth factor mass concentration in the thrombin group was lower than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).(3)The results of blood agar plate test showed no bacterial growth in the supernatant of the four groups.(4)Pearson correlation analysis showed that the mass concentration of platelet-derived growth factor BB in platelet-rich plasma was strongly positively correlated with thrombin(r=0.683,P<0.05),and the mass concentration of vascular endothelial growth factor was strongly positively correlated with thrombin,calcium gluconate,calcium gluconate+thrombin stimulant(r=0.730,0.789,0.686,P<0.05).There was no correlation between the value of thrombocytometer and the mass concentration of four kinds of growth factors(P>0.05).(5)The results suggest that different activators have an impact on the concentration of growth factors in platelet-rich plasma.It is suggested to choose different activators to improve clinical efficacy according to different growth factor mass concentrations and treatment needs.

Objective:To analyze the clinical efficacy and learning curve of robotic-assisted Warshaw procedure using the da Vinci system.Methods:Clinical data of 91 consecutive patients with pancreatic body and tail lesions undergoing robotic-assisted Warshaw procedure at Qingdao University Affiliated Hospital from October 2021 to April 2023 were retrospectively analyzed, including 21 males and 70 females, aged (50.2±14.3) years. Patient characteristics, operative time, and intraoperative blood loss were recorded. The learning curve was constructed using cumulative sum (CUSUM) analysis, with case number on the x-axis and CUSUM values on the y-axis. Linear fitting was performed, and the model with the highest determination coefficient was selected as the optimal fitting model. The learning process was divided into two phases based on the inflection point of the CUSUM learning curve: the learning phase and the proficiency phase. Perioperative outcomes were compared between these two phases.Results:All 91 procedures were successfully completed using the da Vinci robotic system with R0 resection margins. There were no perioperative mortalities or reoperations due to postoperative splenic infarction. The operative time was (227.84±76.68) min. The optimal fitting equation for the CUSUM learning curve was: CUSUM=0.005 640X 3-1.501X 2+ 92.59X-183.1. The CUSUM learning curve showed an inflection point at case 39, dividing the learning process into the learning phase (cases 1-39) and proficiency phase (cases 40-91). Compared to the learning phase, the proficiency phase demonstrated significantly shorter operative time [(203.0±75.6) min vs. (260.9±65.5) min], less intraoperative blood loss [50.0 (20.0, 50.0) ml vs. 100.0 (50.0, 100.0) ml], and reduced postoperative drainage duration [(8.7±2.4) d vs. (10.8±3.2) d] (all P<0.05). Conclusion:The robotic-assisted Warshaw procedure feasible for patients with pancreatic body and tail lesions. Surgeons require approximately 39 cases to complete the learning curve and achieve proficiency in this procedure.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To analyze the clinical efficacy and learning curve of robotic-assisted Warshaw procedure using the da Vinci system.Methods:Clinical data of 91 consecutive patients with pancreatic body and tail lesions undergoing robotic-assisted Warshaw procedure at Qingdao University Affiliated Hospital from October 2021 to April 2023 were retrospectively analyzed, including 21 males and 70 females, aged (50.2±14.3) years. Patient characteristics, operative time, and intraoperative blood loss were recorded. The learning curve was constructed using cumulative sum (CUSUM) analysis, with case number on the x-axis and CUSUM values on the y-axis. Linear fitting was performed, and the model with the highest determination coefficient was selected as the optimal fitting model. The learning process was divided into two phases based on the inflection point of the CUSUM learning curve: the learning phase and the proficiency phase. Perioperative outcomes were compared between these two phases.Results:All 91 procedures were successfully completed using the da Vinci robotic system with R0 resection margins. There were no perioperative mortalities or reoperations due to postoperative splenic infarction. The operative time was (227.84±76.68) min. The optimal fitting equation for the CUSUM learning curve was: CUSUM=0.005 640X 3-1.501X 2+ 92.59X-183.1. The CUSUM learning curve showed an inflection point at case 39, dividing the learning process into the learning phase (cases 1-39) and proficiency phase (cases 40-91). Compared to the learning phase, the proficiency phase demonstrated significantly shorter operative time [(203.0±75.6) min vs. (260.9±65.5) min], less intraoperative blood loss [50.0 (20.0, 50.0) ml vs. 100.0 (50.0, 100.0) ml], and reduced postoperative drainage duration [(8.7±2.4) d vs. (10.8±3.2) d] (all P<0.05). Conclusion:The robotic-assisted Warshaw procedure feasible for patients with pancreatic body and tail lesions. Surgeons require approximately 39 cases to complete the learning curve and achieve proficiency in this procedure.

Objective To analyze the influence of shaping on the bending strength of bone plates and the influence of different locking nail distributions on plate force to provide biomechanical references for shaping plates and selecting different locking nail distributions.Methods Finite element simulation analysis of the four-point bending strength of a plate was performed according to the YY/T 0342-2020 standard.Theoretical analysis and finite element simulation method were used to analyze the force on prosthesis models with different lock-nail distributions.Results At 30° bending,the 3.7 mm-thick plate had 28%higher equivalent plastic strain than the 2.7 mm-thick plate.The 3.7 and 2.7 mm-thick plates had ultimate bending angles of 55° and 67°,respectively.The crease had little impact on the plate stress.The four-point bending strength and equivalent bending stiffness of the unshapeed structure were 2.64 N·m and 1.12 N·m2,respectively.The four-point bending strength and equivalent bending stiffness with the crease were 2.63 N·m and 1.10 N·m2,respectively.After forward and backward bending,the four-point bending strength of the plate decreased from 2.64 to 2.45 N·m by approximately 7.72%,and the equivalent bending stiffness decreased from 1.12 to 0.98 N·m2 by approximately 12%.The impact was obvious.After implantation of tamponade screws,the four-point bending strength of the single-hole plate improved significantly from 2.64 to 3.15 N·m,by approximately 19.32%and the equivalent bending stiffness increased from 1.12 to 1.14 N·m2,by approximately 2.1%.At least two locking holes were reserved on both sides of the fracture line.Not inserting the locking screw reduced the stress by approximately 50%compared with the full insertion of the locking screw.During 15-week postoperative walking without bone callus formation,the material stress of TC4 reached 852.7 MPa and yielding occurred.Conclusions In a clinical scenario where larger shaping is required,it is not suitable for plates with larger thicknesses and plate fractures are more likely to occur after large-thickness shaping.This can guide the clinical selection of plates with appropriate thickness based on the shaping angle,and tamponade screws can be implanted in extreme cases.Fixing locking screws clinically is recommended;however,a method of fixing the locking screws with full screws is not recommended.The biomechanical effect is best when two locking holes at both ends of the fracture line are maintained without fixing the locking screws.

Objective To investigate the influence of peripheral blood neutrophil-to-lymphocyte ratio (NLR),monocyte-to-lymphocyte ratio (MLR) and platelet-to-lymphocyte ratio (PLR) on the prognosis in the patients with multiple myeloma (MM).Methods A total of 159 newly diagnosed MM admitted and treated in the Affiliated Hospital of Guizhou Medical University from January 2019 to May 2023 were selected as the study subjects.The general clinical data,blood biochemical and marrow routine detection results before the in-itial treatment were collected.NLR,MLR and PLR were calculated.The univariate and multivariate Cox-re-gression model was adopted to analyze the influencing factors.The receiver operating characteristic (ROC) curve was used to analyze the predictive value.The Kaplan-Meier survival curve and Log-Rank test were used to conduct the survival analysis.Results The ROC curve showed that the critical values of NLR,MLR and PLR were 2.682,0.317 and 147.786 respectively.The patients were divided into the high/low NLR groups (n=61,n=98),high/low MLR group (n=76,n=83) and high/low PLR groups (n=59,n=100).The pro-portions of blood calcium<2.5 mmol/L and creatinine<177 μmmol/L in the low NLR group in the low NLR group were higher compared with the high NLR group (P<0.05);the blood calcium,creatinine and DS stage had statistical differences between the low MLR group and high MLR group (P<0.05);blood calcium had statistical difference between the low PLR group and high PLR group (P<0.05).After 3 treatment courses,the complete remission rate in the high NLR group,high MLR group and high PLR group was significantly lower than that in the corresponding low group (P<0.05).The multivariate Cox-regression analysis results showed that hemoglobin<100 g/L and high PLR were the independent risk factors affecting the progress free survival (PFS) stage in the patients with MM (P<0.05).The age>60 years old was the independent risk factors affecting the overall survival (OS) in the patients with MM (P<0.05).Conclusion NLR,MLR and PLR could serve as the assisted tool to evaluate the prognosis in the patients with MM.

Objective:To explore the clinical characteristics and risk factors of abnormal urinary albumin/creatinine ratio(UACR) in obese population.Methods:Baseline data from 2011 to 2012 in Henan Sub-center of"Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal(REACTION) study"were utilized and those of body mass index≥28 kg/m 2 were screened. The patients were divided into UACR normal group and UACR abnormal group(101 pairs) upon being matched on a 1∶1 basis by age and gender. Multivariate logistic regression analysis, receiver operating characteristic(ROC) curve, and restricted cubic spline(RCS)analysis were performed to explore the risk factors for abnormal UACR. Results:Compared with the normal UACR group, the UACR abnormal group had a higher number of alcohol consumers, a higher prevalence of hypertension, elevated systolic blood pressure, and triglyceride(all P<0.05). Multivariate logistic regression analysis showed that alcohol consumption( P=0.008), systolic blood pressure( P<0.001), triglyceride( P=0.049), and homeostasis model assessment for insulin resistance(HOMA-IR, P=0.033) were independent risk factors for abnormal UACR in obese people. The ROC curve analysis indicated that systolic blood pressure had the strongest diagnostic performance as a single factor(ROC curve area=0.801), and there was no significant difference in diagnostic performance compared to multiple factors combination. RCS analysis results showed that the probability of abnormal UACR increased monotonically with the increase of systolic blood pressure when the systolic blood pressure was between 130 and 158 mmHg(1 mmHg=0.133 kPa). When systolic blood pressure was not in the interval, the probability of abnormal UACR did not change significantly. The results of regression analysis of triglyceride subgroup showed that when triglyceride level was greater than or equal to 5.6 mmol/L, the risk of abnormal UACR level was significantly increased( P=0.029). Conclusion:Systolic blood pressure, triglyceride, HOMA-IR, and alcohol drinking history are independent risk factors for abnormal UACR in obese people. When systolic blood pressure is≥130 mmHg or triglyceride is≥5.6 mmol/L, the risk of abnormal UACR is significantly increased.