Objective To investigate the effect of pneumoperitoneum pressure during robotic-assisted kidney transplantation (RAKT) on the function of the transplant kidney. Methods The data of 243 kidney transplant recipients were retrospectively analyzed and divided into open kidney transplantation (OKT) group (n=105) and RAKT group (n=138). The RAKT group was further divided into 13 mmHg group (n=67) and 7 mmHg group (n=71) based on pneumoperitoneum pressure. The donor information, recipient's preoperative general data, intraoperative data, and postoperative recovery of the three groups were compared. In the RAKT group, the renal artery, segmental artery, interlobar artery, and venous flow velocity of the transplant kidney were measured using laparoscopic ultrasound. Results There was a statistically significant difference in donor types among the groups (P<0.05), while other donor information and recipient's preoperative general data showed no statistically significant differences (all P>0.05). There were no statistically significant differences in serum creatinine and complications at 30 days and 1 year postoperatively among the groups (all P>0.05). The OKT group and 7 mmHg group had more intraoperative urine output than the 13 mmHg group. Both RAKT groups had less intraoperative blood loss and shorter hospital stays than the OKT group, and longer operation times than the OKT group (all P<0.05). There were no statistically significant differences in operation time, intraoperative blood loss, and hospital stay between the two RAKT groups (all P>0.05). The vascular flow velocity of the transplant kidney decreased at 13 mmHg compared to 7 mmHg pneumoperitoneum pressure, but the differences were not statistically significant (all P>0.05). Conclusions Controllable pneumoperitoneum pressure has a limited impact on the vascular flow velocity of the transplanted kidney. RAKT is a safe and effective surgical method under appropriate pneumoperitoneum pressure, and choosing a lower pneumoperitoneum pressure is more conducive to the early recovery of renal function postoperatively.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To investigate the association between peripheral immune function status and lung cancer metastasis,and to identify peripheral blood immune biomarkers for'Deficiency of Vital Qi'assessment in lung cancer metastasis.Methods:A retrospective analysis was conducted on peripheral blood immune markers collected before treatment from lung cancer patients admitted into Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated to Shanghai University of Traditional Chinese Medicine,between March 2023 and April 2025.Patients were categorized into the non-metastatic and the metastatic groups based on the presence of distant metastasis,and the differences in the expressions of immune cells and cytokines between groups were compared.Peripheral blood immune markers with P<0.05 in univariate analysis were incorporated into a multivariate binary logistic regression model to identify independent predictors of lung cancer metastasis.Results:A total of 193 lung cancer patients were included(101 in the non-metastatic group and 92 in the metastatic group).There were no statistically significant differences between the two groups in terms of gender,age,smoking history,drinking history,or pathological type(all P>0.05).Univariate analysis revealed significant differences in multiple immune markers between the non-metastatic and metastatic groups(all P<0.05),including:lymphocyte count,CD3+,CD4+,and CD8+T,CD19+B cells,absolute counts of CD3-CD16+CD56+NK cells,percentages of Treg cells,CD8+CD28+Treg cells,G-MDSC,and CD3-CD16+CD56+dim NK cells,and levels of cytokine IL-1β,IL-6,and IL-10.Binary logistic regression analysis of differential indicators suggested that the percentage of Treg cells and CD8+CD28+Treg cells in peripheral blood were independent predictors of distant metastasis in lung cancer(OR=1.193,95%CI[1.047,1.36],P<0.01;OR=0.978,95%CI[0.957,0.999],P<0.05).Conclusion:Peripheral blood immune dysfunction is the biological basis for'qi deficiency'in lung cancer metastasis.This study quantitatively demonstrates the correlation between peripheral immune function status and lung cancer metastasis,providing empirical evidence for the theories of'qi deficiency and hidden toxicity'and'metastatic state of tumors'.

Background and purpose:Radiotherapy is an important means to treat pelvic tumors.It is important to improve the accuracy of radiotherapy and enhance the effectiveness.This study aimed to compare and analyze the influence of positioning errors during the radiotherapy of patients using surface guided radiotherapy(SGRT)automatic positioning versus traditional surface marking positioning.Methods:We performed a retrospective analysis of 50 patients with pelvic tumors who received radiotherapy and had simple positioning fixation methods at the Fudan University Shanghai Cancer Center from April 2023 to April 2024.A total of 25 patients were treated using SGRT(observation group),and 25 patients were treated using traditional surface marking(control group).After positioning according to the two positioning techniques,cone beam computed tomography(CBCT)images were collected.These data were compared with the initial reference computed tomography(CT)images within 6 dimensions.The correction error values of the six dimensions were recorded.We calculated the averages,standard deviations,and the number of cases and probabilities in different interval distributions.SPSS 27.0 was used to perform statistical analysis of the data from the two groups of patients.We also analyzed the correlation of patients in the observation group within the 6 dimensions.Results:The non-parametric test showed significant differences in only the LNG and PITCH directions(P＜0.05).The number of cases(probability)in the observation group with errors less than 3 mm and less than 1 were 108(86.4%),93(74.4%),108(86.4%),and 96(76.8%),111(88.8%),107(85.6%),respectively.In the control group,the numbers were 113(90.4%),107(85.6%),118(94.4%),and 71(56.8%),95(76.0%),110(88.0%),respectively.The Spearman correlation analysis showed that in the observation group,the left-right direction had a negative correlation with pitch,roll and yaw,while all other directions were positively correlated.Statistically significant positive correlations(P＜0.05)were found between the superior-inferior and pitch directions,left-right and roll directions,as well as pitch and roll directions,with positive correlation coefficients(r=0.270,r=0.301,and r=0.247).Conclusion:The application of SGRT automatic positioning can achieve the effect of regular surface marking line positioning,has advantages in rotation direction adjustment,and can replace surface marking line positioning where conditions permit.

Objective To explore the learning curve of robotic-assisted kidney transplantation(RAKT).Methods The clinical data of 96 consecutive RAKT patients performed by the same surgical team were retrospectively analyzed.The arterial anastomosis time,venous anastomosis time,ureteral anastomosis time,hospital stay,and blood loss were selected as evaluation indicators.The learning curve of RAKT was analyzed using the cumulative sum(CUSUM),and the curve was divided into the learning improvement stage and the proficient mastery stage according to the learning curve.The learning curve was verified by comparing the general data and surgical data of patients in different learning stages,and the clinical efficacy of each stage was analyzed.Results The optimal fitting equation of the learning curve reached its peak at the 33rd case,which was the minimum number of surgeries required to master RAKT.There was no statistically significant difference in age,gender,dialysis type,previous abdominal surgery history,number of donor renal arteries,and preoperative serum creatinine between the learning improvement group and the proficient mastery group(all P>0.05).Compared with the learning improvement stage,the body mass index(BMI)was higher,and the number of right donor kidney was increased compared to the left donor kidney in the proficient mastery stage(both P<0.05).There were no significant differences in arterial anastomosis time,ureteral anastomosis time,postoperative serum creatinine,and complications between the two groups(all P>0.05).The iliac vessel dissection time,warm ischemia time,venous anastomosis time,blood loss,and hospital stay in the proficient mastery stage were superior to those in the learning improvement stage,with statistically significant differences(all P<0.05).Conclusions RAKT requires at least 33 cases to cross the learning curve.There is no difference in complications and recovery of transplant renal function between the learning improvement stage and the proficient mastery stage.

Objective:To improve the understanding of chronic lymphoblastic leukemia (CLL) with t(14;18)(q32;q21).Methods:The clinical data of 3 cases diagnosed as CLL with t(14;18)(q32;q21) in the Tianjin KingMed Medical Laboratory from January 2020 to January 2021 were retrospectively analyzed. The clinicopathological data, morphological examination, immunophenotype, cytogenetics and somatic mutation of immunoglobulin heavy chain variable region genes of patients were comprehensively analyzed, and the literature was reviewed.Results:All the 3 patients showed lymphatic proliferative diseases, and their morphological characteristics and immunophenotype were typical characteristics of CLL.Conclusions:The diagnosis of CLL is mainly based on the typical morphology and immunophenotype of tumor cells. The presence of t(14;18) should not be used to exclude the diagnosis of CLL.

Objective:To summarize the preliminary experiences of utilizing complete peritoneal externalization for donation after cardiac death (DCD) robot-assisted kidney transplantation (RAKT) and observe the effect of RAKT versus open kidney transplantation (KT) under the same donor kidney during the same period.Methods:From February 2019 to July 2020, 40 patients scheduled for kidney transplantation were divided into two groups of robot ( n=20) and open surgery ( n=20). Donor for DCD had the same blood type. Preoperative data, intraoperative findings and postoperative outcomes were analyzed. Results:No significant inter-group difference existed in age, body mass index (BMI) or dialysis time. Both groups completed operations successfully. As compared with open group, operative duration, blocking time, venous anastomotic time and ureteral anastomosis time were longer in robot group. And the incidences of lymphatic fistula/cyst was higher in robot group than that in open group. Robot group was superior to open group in terms of hospitalization time, ventilation time, pain disappearance time and time to ambulate. No statistically significant inter-group difference existed in iliac vascular separation time, arterial anastomotic time, volume of blood loss and postoperative recovery of renal transplant function.Conclusions:RAKT is both safe and feasible at advanced surgical centers. Early evidence indicates that RAKT can accelerate the recovery of patients and achieve the same renal function recovery as open surgery. As surgeons become more proficient in RAKT technology, operative duration will be gradually shortened.

Neoadjuvant chemotherapy (NAC) has been widely used in ⅡA, ⅡB, ⅢA stage and locally advanced breast cancer. The best way to evaluate NAC effect is to detect the changes in total tumor lesion volume by three-dimensional reconstruction under magnetic resonance imaging (MRI). At present, it is a hotspot for many scholars to effectively evaluate the efficacy of NAC and the impact of shrinkage modes on the evaluation after NAC in breast cancer by combination of multiple parameters, such as the area under receiver operating characteristic curve (ROC), time-intensity curve (TIC) type and minimum apparent diffusion coefficient (ADC). To provide more practical and accurate means and methods in evaluating the effect of NAC in breast cancer for clinic is the medical researchers′eternal target.