Objective To explore the risk factors for postoperative pneumonia (POP) following esophagectomy for esophageal cancer, and to identify potential clinical indicators for predicting POP. Methods A retrospective analysis was conducted on the clinical data of patients with esophageal cancer who underwent esophagectomy at the Department of Thoracic Surgery, West China Hospital of Sichuan University from 2017 to 2021. Perioperative clinical indicators were collected to analyze the risk factors for the occurrence of POP. Patients were divided into a POP group and a non-POP group according to whether POP occurred. Results A total of 613 patients with esophageal cancer were included, comprising 472 males and 141 females, with a median age of 62.0 (53.0, 67.0) years. Among them, 51 patients were in the POP group, and 562 patients were in the non-POP group. Multivariate logistic regression analysis showed that the forced expiratory volume in 1 second percentage of predicted (FEV1%) [OR=0.958, 95%CI (0.943, 0.973), P<0.001], systemic immune-inflammation index (SII) [OR=1.001, 95%CI (1.000, 1.002), P=0.007], and prognostic nutritional index (PNI) [OR=0.869, 95% CI (0.813, 0.928), P<0.001] were independent risk factors for POP. Receiver operating characteristic (ROC) curve analysis combining FEV1%, SII, and PNI demonstrated that the area under the curve (AUC) for predicting POP was 0.826 [95%CI (0.793, 0.855), cut-off value: 0.08, sensitivity: 80.3%, specificity: 72.4%, Youden index: 0.528, P<0.001]. Cross-validation confirmed that the combined indicators had the highest predictive efficacy, which was significantly superior to that of any single indicator alone. Conclusion Preoperative levels of FEV1%, SII, and PNI are closely associated with the occurrence of POP following surgery for esophageal cancer. The combined application of FEV1%, SII, and PNI demonstrates good predictive efficacy for the occurrence of POP.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To evaluate the diagnostic value of native T1 mapping in differentiating Oxford classification (MEST-C) scores in patients with IgA nephropathy.Methods:In this prospective study, patients who underwent both T1 mapping and renal biopsy at the First Medical Center of the Chinese PLA General Hospital between April 2023 and October 2024 were consecutively enrolled. Two radiologists, blinded to clinical and pathological information, measured renal T1 mapping parameters, including cortical T1 (cT1), medullary T1 (mT1), the corticomedullary difference (ΔT1), and the corticomedullary ratio (T1 ratio). Clinical and renal biopsy data based on the Oxford classification from patients with IgA nephropathy were collected. The Oxford classification includes five indicators: Mesangial hypercellularity (M), Endocapillary hypercellularity (E), Segmental glomerulosclerosis or adhesion (S), Tubular atrophy/interstitial fibrosis (T), and Cellular or fibrocellular crescents (C). Spearman correlation analysis was applied to evaluate the associations between MEST-C scores and T1 parameters. The diagnostic performance of T1 parameters for discriminating among scores of the Oxford classification was analyzed using the receiver operating characteristic (ROC) curve.Results:A total of 124 patients with IgA nephropathy were included in this study [66 males, 58 females; age 19-70 years, 39 (30, 51) years]. Except for the E indicator, M, S, T, and C were significantly correlated with renal T1 values ( ρ=0.177-0.414, all P<0.05). cT1 showed the best diagnostic efficacy for the S score, with an area under the curve (AUC) of 0.798, a sensitivity of 68.7%, and a specificity of 88.0%. The best T1 parameter for differentiating the T score was the T1 ratio, with an AUC of 0.687, a sensitivity of 57.9%, and a specificity of 79.1%. Conclusion:Native T1 mapping can be used for the non-invasive assessment of the S and T scores in the Oxford classification of patients with IgA nephropathy.

Objective:To explore the feasibility and preliminary efficacy of domestic single-port robotic surgical system in the surgical treatment of thyroid cancer. Methods:Thyroid cancer patients who underwent domestic single-port robotic surgery in the Department of Head and Neck Surgery of Sichuan Cancer Hospital from June 2024 to January 2025 were prospectively included. Clinical data, oncological characteristics, and perioperative indicators were systematically collected. Results:A total of 7 patients were included, including 3 males and 4 females, with an age of （34.57±10.26） years. All procedures were successfully completed without conversion to open surgery. Operative time was（180.00±30.41） minutes. Blood loss was（5.00[15.00 ]）mL. Postoperative drainage volume was （167.86±130.95） mL. The postoperative pathological results were all thyroid papillary carcinoma. There were no system failures, no device-related complications and adverse events were observed during the operation and perioperative period. No tumor recurrence or metastasis was observed during the follow-up period. Conclusion:Preliminary data indicate that the domestic single-port robotic surgical system is safe and feasible for the surgical treatment of thyroid cancer, providing a practical basis for subsequent multi-disease, multi-center, and large-sample studies.
Humans ; Thyroid Neoplasms/surgery* ; Robotic Surgical Procedures/instrumentation* ; Male ; Female ; Adult ; Thyroidectomy/methods* ; Operative Time ; Middle Aged ; Prospective Studies

Objective:To evaluate the diagnostic value of native T1 mapping in differentiating Oxford classification (MEST-C) scores in patients with IgA nephropathy.Methods:In this prospective study, patients who underwent both T1 mapping and renal biopsy at the First Medical Center of the Chinese PLA General Hospital between April 2023 and October 2024 were consecutively enrolled. Two radiologists, blinded to clinical and pathological information, measured renal T1 mapping parameters, including cortical T1 (cT1), medullary T1 (mT1), the corticomedullary difference (ΔT1), and the corticomedullary ratio (T1 ratio). Clinical and renal biopsy data based on the Oxford classification from patients with IgA nephropathy were collected. The Oxford classification includes five indicators: Mesangial hypercellularity (M), Endocapillary hypercellularity (E), Segmental glomerulosclerosis or adhesion (S), Tubular atrophy/interstitial fibrosis (T), and Cellular or fibrocellular crescents (C). Spearman correlation analysis was applied to evaluate the associations between MEST-C scores and T1 parameters. The diagnostic performance of T1 parameters for discriminating among scores of the Oxford classification was analyzed using the receiver operating characteristic (ROC) curve.Results:A total of 124 patients with IgA nephropathy were included in this study [66 males, 58 females; age 19-70 years, 39 (30, 51) years]. Except for the E indicator, M, S, T, and C were significantly correlated with renal T1 values ( ρ=0.177-0.414, all P<0.05). cT1 showed the best diagnostic efficacy for the S score, with an area under the curve (AUC) of 0.798, a sensitivity of 68.7%, and a specificity of 88.0%. The best T1 parameter for differentiating the T score was the T1 ratio, with an AUC of 0.687, a sensitivity of 57.9%, and a specificity of 79.1%. Conclusion:Native T1 mapping can be used for the non-invasive assessment of the S and T scores in the Oxford classification of patients with IgA nephropathy.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective To investigate the curative effect of interventional therapy on postoperative multiple metastases of breast cancer.Methods A total of 15 patients with multiple metastases after breast cancer surgery were treated with interventional therapy.After comprehensive evaluation,all patients were treated with chemoembolization.The therapeutic regimen was docetaxel loaded on drug-eluting bead(DEB)combined with carboplatin,once in 1 d for 21 d,2 times in total,and then the regimen was changed to docetaxel and carboplatin combined with ordinary embolization microspheres,once in 1 d for 21 d,4 times in total.CT/MRI was performed on every 2 cycles and 1,3,and 6 months after interventional therapy to evaluate its efficacy and record adverse reactions.Results The overall remission rate(ORR)at 3 months after treatment was 75％,and the disease control rate(DCR)was 91.7％.The ORR and DCR at 6 months after treatment were 50％and 83.3％,respectively.Most of the common adverse reactions were below grade Ⅲ.Conclusion Interventional therapy for multiple metastases of breast cancer after operation has a definite short-term effect,with little adverse reactions.It is worthy of further promotion in the comprehensive treatment of postoperative metastases of breast cancer.

Objective To optimize the preparation process of Swertia patens,Burk.standard decoction and establish its quality standard by using the quality by design(QbD)concept.Methods Critical Quality Attributes(CQAs)were predicted and analyzed according to the quality marker(Q-marker)theory of traditional Chinese medicine;Failure mode and effects analysis(FMEA)was used to screen critical process parameters(CPPs);The measurement method of key quality attributes was established;The extraction process was optimized by Box Behnken test after the preliminary range was determined according to the single factor test;The entropy method was used for comprehensive scoring;The design space was established and the optimal operation space for process validation was selected;Standard decoction of Swertia patens Burk in fifteen batches with different habitats were prepared with the best technology,and the quality standards for the extraction rate,extract,thin layer chromatography,fingerprint,content,and the content transfer rate were established finally.Results The key quality attributes were swertiamarin content,gentiopicrin content,and paste yield;The key process parameters were soaking time,water amount,and decocting time;The established model had statistical significance;The optimum conditions were as follows:soaking time 90 min,adding water 15 times,decocting time 30 min(second decocting 20 min);The paste yield was 21.13％-30.73％;The extract was 82.00％-88.00％;The spot of swertiamarin was clear in TLC;The similarity between each samples in 15 batches and reference atlas were＞0.85％;The content of swertiamarin was 250.64-385.21 mg·g-1,and the transfer rate was 43.76％-77.73％;The content of gentiopicrin was 0.69-2.70 mg·g-1,and the transfer rate was 56.02％-105.29％.Conclusion Based on the above methods and techniques,the preparation process of Swertia patens Burk.The standard decoction was screened,which provides a reference for the preparation development and quality control of its formula granules.

Objective:To explore the clinical value of a trinity strategy for the treatment of multiple orthopedic trauma.Methods:A retrospective case series study was conducted to analyze the clinical data of 1 267 patients with multiple orthopedic trauma admitted to Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine and the First Affiliated Hospital of Navy Medical University from June 2013 to May 2023, including 862 males and 405 females, aged 18-93 years [(55.2±19.8)years]. Associated injuries included hemorrhagic shock in 632 patients, traumatic wet lung in 274, cranial injuries in 135, abdominal and pelvic bleeding in 116, pneumothorax in 89, urinary injury in 13, and vesical rupture in 8. All the patients were treated with the trinity strategy and the treatment process was divided into the phases of first aid, remodeling, and rehabilitation. The first aid phase focused on stabilizing symptoms and saving lives; the remodeling phase centered on restoring the anatomical structure and alignment; the rehabilitation phase aimed for functional recovery through the integration of both Western and traditional Chinese medicine. The all-cause mortality within 30 days after surgery and fracture healing time were calculated; the excellent and good rates of Constant-Murley shoulder score, Mayo elbow score, Gartland-Werley wrist score, Harris hip score, Hospital for Special Surgery (HSS) knee score and the American Orthopedic Foot & Ankle Society (AOFAS) ankle-hindfoot score at the last follow-up and the overall excellent and good rate of all joint function scores were measured. The short form health survey (SF-36) scores were collected preoperatively and at 6 months postoperatively, including 8 aspects such as physical functioning, physical role, bodily pain, general health, vitality, social functioning, emotional role, and mental health. The incidence of postoperative complications was recorded.Results:All the patients were followed up for 6-18 months [(10.2±4.2)months]. The mortality rate during the acute phase (within 30 days after surgery) was 2.37% with 12 deaths due to hemorrhagic shock, 10 due to traumatic brain injury, 6 due to multiple organ dysfunction syndrome (MODS), and 2 due to pulmonary infection. The average fracture healing time averaged 3.8-18 months [(11.5±4.2)months], with 89.49% of the patients having bone union within 12 months after surgery, 8.93% having bone union within 18 months after surgery, and 1.58% undergoing reoperation. For the patients with internal fixation failure and nonunion, the average healing time was extended to (10.2±2.2)months and (13.7±3.3)months respectively. At the last follow-up, the excellent and good rates of Constant-Murley shoulder score, Mayo elbow score, Gartland-Werley wrist score, Harris hip score, HSS knee score, and AOFAS ankle-hindfoot score were 83.93%, 90.24%, 94.12%, 85.57%, 88.46%, and 92.31% respectively, with an overall excellent and good rate of 89.11%. At 6 months after surgery, the SF-36 scores of all the patients in the eight dimensions,including the physical functioning, physical role, bodily pain, general health, vitality, social functioning, emotional role, and mental health were (74.4±8.6)points, (44.7±14.4)points, (77.4±10.9)points, (68.4±18.2)points, (72.5±16.0)points, (76.8±8.7)points, (49.9±17.6)points, and (72.8±17.9)points, significantly improved compared with those before operation [(63.4±12.7)points, (30.9±17.4)points, (56.4±18.0)points, (55.4±24.7)points, (53.5±21.0)points, (55.8±24.3)points, (36.9±24.0)points, (58.8±21.6)points] ( P<0.01). Complications of different degrees occurred in 214 patients (16.89%), including lung infections in 118 patients (9.31%), lower extremity deep vein thrombosis in 50(3.95%), pressure injuries in 26(2.05%), internal fixation failure in 12(0.95%), and nonunion in 8(0.63%). Conclusions:The trinity strategy provides whole-process management, personalized treatment, and overall rehabilitation for multiple orthopedic trauma. It can decrease mortality, shorten fracture healing time, improve joint function and quality of life, and reduce the incidence of complications.

Objective To investigate the therapeutic effect and prognostic significance of lateral lymph node dissection (LPLND) in patients with lateral lymph node (LPLN) metastasis. Methods The clinicopathological data of rectal cancer patients who underwent total mesorectal excision (TME) combined with LPLND and pathologically confirmed as LPLN metastasis after operation were retrospectively analyzed. The clinicopathological characteristics and metastasis rules of patients with LPLN metastasis were discussed, and the survival prognosis after LPLND was analyzed. Results A total of 102 rectal cancer patients with pathologically confirmed LPLN metastasis were included. The common sites of LPLN metastasis were internal iliac vessels lymph nodes (n=68, 66.7%), followed by obturator lymph nodes (n=44, 43.1%), and common iliac vessels or external iliac vessels lymph nodes (n=12, 11.8%). There were 10 patients (9.8%) with bilateral LPLN metastases, and the mean number of LPLN metastases was 2.2±2.4, among which 16 patients (15.7%) had LPLN metastases number≥2. The 3-year OS (66.8% vs. 7.7%, P < 0.001) and DFS (39.1% vs. 10.5%, P=0.012) of patients with LPLN metastases to the external iliac or common iliac lymph node were significantly lower than those with metastases to the internal iliac or obturator lymph node. The multivariate analysis showed that LPLN metastasis to external iliac or common iliac lymph node was an independent risk factor both for OS (HR=3.53; 95%CI: 1.50-8.31; P=0.004) and DFS (HR=2.40; 95%CI: 1.05-5.47; P=0.037). Conclusion LPLN mainly metastasizes to the internal iliac or obturator lymph node areas. The survival of patients with metastasis to the external iliac or common iliac lymph node cannot be improved by LPLND, and thus systemic comprehensive treatment is often the optimal treatment option.