The standardized implementation of intraoperative nerve monitoring technology significantly minimizes surgical injury risks. Its application in endoscopic and robotic thyroid surgeries enhances procedural safety. Building upon standardized protocols, our team has innovated technical extensions through accumulated clinical experience, systematically formulated as operational guidelines. This article elucidated these technical extensions through pictures and videos, aiming to improve the safety and procedural fluency of endoscopic and robotic thyroidectomies.

Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective:To compare the efficacy and safety of drug-coated balloons (DCB) combined with bare metal stents (BMS) and BMS only for superficial femoral atherosclerosis obliterans.Methods:The clinical and follow-up data of 80 patients (82 limbs) who received combined treatment or BMS implantation at Cardiovascular Surgery Department of China Japan Friendship Hospital from Jan 2017 to Aug 2022 were retrospectively analyzed.Results:43 patients (43 limbs) were included in combined treatment group. 37 patients (39 limbs) were in BMS only. The average lesion length of combined group was longer than BMS group (19.54±7.04 cm vs. 16.25±6.43 cm, P=0.031). The primary patency rate of combined group at 36 months was not statistically different with BMS only group (56.9% vs. 38.5%, P=0.171). The subgroup analysis of superficial femoral artery TASC C/D (Trans-Atlantic Inter-Society Consensus) and CTO (chronic total occlusion) lesions indicated that efficacy of the combined group was superior to BMS only group. The patency rates of the combined group compared with the BMS group at 36 months were 57.6% vs. 23.8%, P=0.046, 60.2% vs. 31.4%, P=0.028, respectively. There was no significant difference in the FCD-TLR (free from clinical driven target lesion revascularization) between the two groups at 36 months (72.6% vs. 66.5%, P=0.706). There was no significant difference in major adverse events between the two groups ( P>0.05). Conclusion:Paclitaxel drug-coated balloon combined with bare metal stent is a safe and effective treatment for superficial femoral atherosclerosis obliterans, which is superior to bare metal stent, especially in TASC C/D and chronic total occlusive lesions.

Objective To investigate the characteristic of lipoprotein(a)[Lp(a)]in different phases of chronic kidney disease (CKD ),to provide the basis for clinical prevention and treatment of CKD.Methods 200 patients with CKD in the Republic Hospital of Shifang were collected as study group,including 5 phases (every phase had 40 cases),and 100 healthy people were selected as control group.Measured the serum Lp(a)of both study and control group,analyzed the correlations between Lp(a)and different phase of CKD.All data were analyzed by SPSS version 17.0.The significant level was established at 0.05.Results CKD1 [(146.0 ±95.5)mg/L]and all CKD group [(231.5 ±133.2)mg/L]had higher level of serum Lp(a)than the control group [(115.5 ±70.2)mg/L] (Z=-2.800,P<0.05 and Z=-7.922,P<0.05).CKD3 had higher Lp(a)level than CKD2(Z=-2.069,P<0.05 ),while there were no significant differences between each of the other two groups.CKD4 -5 [(325 .0 ± 194.7)mg/L]also had higher Lp(a)level than CKD1 -3 [(182.0 ±110.5)mg/L](Z=-4.439,P<0.05). Conclusion Patients with CKD always have high level of serum Lp(a),which have been slowly increased since CKD1 ,meanwhile the level of Lp(a)may have a certain correlation with the stage of CKD development,since Lp(a) is an important promoting factor in the progress of CKD.