Radiomics utilizes the high-throughput extraction of large amounts of quantitative features from radiographic images,giving a comprehensive quantification of tumor phenotype.Thus it can provide complementary and interchangeable information for clinical usage,such as differentiating malignant nodules from benign ones,predicting response to treatment,identifying lymph node metastasis,improving individualized treatment selection and monitoring.The advantages of radiomics give it great potential in precise treatment.But much work needs to be done before it could be used in practice.It is imperative that a standard research procedure is needed to verify its reliability and clinical value via multi-central prospective clinical trials.

Objective To explore the relationship between peripheral Th17 cell number and chronic gastritis in Helicobacter pylori(H.pylori)-infected children.Methods Children were diagnosed as chronic gastritis by endoscopy.The degree and activity of inflammation were graded by histopathology examinations.The patients with both 13C urea breath test and urease test positive were diagnosed as H.pylori infection.The peripheral Th17 cell number was measured by flow cytometry and expressed as a ratio to total T cell.Results The Th17 cell number in HP group (chronic gastritis with H.pylori infection,n =33),non-HP group (chronic gastritis without H.pylori infection,n =24) and normal controls (n =15) were (1.55 ±0.30)％,(1.06 ±0.33)％,and (1.04 ±0.35)％,respectively.HP group included a statistically higher Th17 cell number than the other groups (all P ＜ 0.05),while no obvious difference was found between non-HP group and controls (P ＞ 0.05).According to the degree of inflammation,the chronic gastritis with H.pylori infection was categorized into non-apparent (n =10),mild (n =8),moderate (n =9) and severe (n =6) subgroups.The Th17 cell number in each subgroup was (1.64 ± 0.21)％ (non-apparent),(1.61 ± 0.23)％(mild),(1.25 ± 0.29) ％ (moderate) and (1.75 ± 0.20) ％ (severe),respectively.The moderate group had a lowest Th17 cell number among 4 groups (P ＜ 0.05).And significant differences did not exit in the other 3 groups (P ＞ 0.05).The HP group patients with different inflammatory activity had a Th17 cell number of (1.23 ±0.25)％ in nonapparent (n=15),(1.53 ±0.15)％ in mild (n=6),(1.55 ±0.32)％ in moderate (n=6) and (1.71 ±0.35)％ in severe (n =6) subgroup,respectively.However,there were no significant differences among 4 subgroups (P ＞ 0.05).Conclusions In the progress of chronic gastritis with H.pylori infection,Th17 cells may play a role as a double-edged sword by protecting and fighting against H.pylori infection and immunopathologic insults.This would provide more insights into the treatment of H.pylori infection.

Objective To discuss the effectiveness between arthroscope cleaning combined with exercise therapy and exercise therapy in senile osteoarthritis patients.Methods Two hundred and ten senile osteoarthritis patients were divided into operation group and non-operation group by random digits table method with 105 cases each.Patients in operation group received the arthroscope cleaning and exercise therapy,and patients in non-operation group received the exercise therapy alone.The visual analogue score (VAS) and international knee documentation committee knee evaluation form (IKDC) score before treatment and 1,6 and 12 months after treatment were compared.Results A total of 210 patients received the analysis of result without drop-out.There were no statistical differences in VAS and IKDC scores before treatment and 6 and 12 months after treatment between operation group and non-operation group (P ＞ 0.05).The VAS and IKDC scores 1,6,12 months after treatment were significantly improved compared with those before treatment in operation group,and there were statistical differences (P ＜ 0.05).The VAS and IKDC scores 6,12 months after treatment were significantly improved compared with those before treatment in non-operation group,and there were statistical differences (P ＜ 0.05).According to the IKDC score,in operation group 15 patients were excellent,61 patients were fine,19 patients were general and 10 patients were bad after treatment,and good effectiveness rate was 72.38％ (76/105).In non-operation group,14 patients were excellent,59 patients were fine,20 patients were general and 12 patients were bad after treatment,and good effectiveness rate was 69.52％ (73/105).There was no statistical difference in the good effectiveness rate between 2 groups (P ＞ 0.05).Conclusions Exercise therapy with guidance can significantly improve the function of senile knee joint osteoarthritis,and ease joint pain symptoms.Arthroscope cleaning combined with exercise therapy can relieve the joint acute inflammatory symptoms,but it has no significant clinical effectiveness in long-term treatment of osteoarthritis.

Objective To investigate the coverage of a recombinant protein vaccine based on pneumococcal surface protein A (PspA) from both family 1 and family 2.Methods One hundred and fifty-nine Streptococcus pneumoniae strains, including 47 invasive strains, were isolated from children in Nanjing Children′s Hospital.Cell lysates were prepared and reacted with three antibodies recognizing PspA -RX1, PspA-3296 and PspA-5668 for PspA typing by ELISA .Results Among 47 invasive isolates of 9 different serotypes, 10.7%were PspA family 1 and 89.3%were PspA family 2.Among all of 159 clinical isolates, 10.1% were identified as PspA family 1, 88.0%were family 2, while 1.9%of strains could not be typed by ELISA and PCR assays .None of strains belonged to PspA family 3.Conclusion The recombinant pro-tein vaccine based on PspA from both family 1 and family 2 has a broad coverage among clinical isolates and is potentially protective against both invasive and non-invasive pneumococcal diseases .

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective:To evaluate the effect of patent foramen ovale (PFO) on the perioperative complications and survival rate in pediatric patients undergoing living donor liver transplantation.Methods:The medical records from pediatric patients of either sex with biliary atresia, aged<18 yr, who underwent living donor liver transplantation from January 2020 to January 2022, were retrospectively collected. The pediatric patients were divided into PFO group and non-PFO group according to the results of echocardiography before operation. The postreperfusion syndrome, acute lung injury, acute kidney injury, postoperative delirium and 1-year survival rate were recorded.Results:There was no significant difference in the incidence of postreperfusion syndrome, acute lung injury, acute kidney injury, postoperative delirium and one-year survival rate between PFO group and non-PFO group ( P>0.05). Conclusions:PFO has no obvious effect on the incidece of intraoperative and early postoperative complications and 1-year survival rate in pediatric patients undergoing living donor liver transplantation.