Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Objective:To observe the clinical effectiveness of manual therapy based on posture decoding for patients with lower crossed syndrome (LCS).Methods:Thirty-six LCS patients were randomly divided into an observation group and a control group, each of 18. The observation group received manual therapy based on posture decoding, while the control group was treated with proprioceptive neuromuscular facilitation (PNF), both in 20min sessions, once a week for 4 weeks. Before the experiment, after one, two and four weeks of treatment and followed-up 4 and 8 weeks later, both groups were evaluated using a visual analogue scale (VAS), the Oswestry Disability Index (ODI) and finger-floor distance (FFD). Anterior pelvic tilt angles (ASIS-PSISs), sacral slopes (SS), lumbar curve index (LCI) and surface EMG flexion-relaxation ratios (FRRs) were also recorded from both groups before and after the treatment.Results:After one and four weeks of the treatment, the average VAS, ODI, and FFD had decreased significantly in both groups, with all significantly lower in the observation group, on average. At the final follow-up, the average VAS and ODI scores of both groups were significantly lower than before the treatment, with those of the observation group significantly lower than the control group′s averages. After 4 weeks of treatment significant differences were observed also in the group′s average ASIS-PSISs, SSs and LCIs compared with before the treatment. And right after the treatment the left and right surface electromyography FRRs of the observation group were significantly higher than those of the control group.Conclusion:Manual therapy based on posture decoding can significantly improve the pelvis forward angle and lumbar motion of LCS patients, relieving back pain and relaxing back muscles.

OBJECTIVE: To investigate the effectiveness of Flow-through bridge anterolateral thigh flap transplantation in the treatment of complex calf soft tissue defects. METHODS: The clinical data of the patients with complicated calf soft tissue defects, who were treated with Flow-through bridge anterolateral thigh flap (study group, 23 cases) or bridge anterolateral thigh flap (control group, 23 cases) between January 2008 and January 2022, were retrospectively analyzed. All complex calf soft tissue defects in the two groups were caused by trauma or osteomyelitis, and there was only one major blood vessel in the calf or no blood vessel anastomosed with the grafted skin flap. There was no significant difference between the two groups in general data such as gender, age, etiology, size of leg soft tissue defect, and time from injury to operation ( P>0.05). The lower extremity functional scale (LEFS) was used to evaluate the sufferred lower extremity function of the both groups after operation, and the peripheral blood circulation score of the healthy side was evaluated according to the Chinese Medical Association Hand Surgery Society's functional evaluation standard for replantation of amputated limbs. Weber's quantitative method was used to detect static 2-point discrimination (S2PD) to evaluate peripheral sensation of the healthy side, and the popliteal artery flow velocity, toenail capillary filling time, foot temperature, toe blood oxygen saturation of the healthy side, and the incidence of complications were compared between the two groups. RESULTS: No vascular or nerve injury occurred during operation. All flaps survived, and 1 case of partial flap necrosis occurred in both groups, which healed after free skin grafting. All patients were followed up 6 months to 8 years, with a median time of 26 months. The function of the sufferred limb of the two groups recovered satisfactorily, the blood supply of the flap was good, the texture was soft, and the appearance was fair. The incision in the donor site healed well with a linear scar, and the color of the skin graft area was similar. Only a rectangular scar could be seen in the skin donor area where have a satisfactory appearance. The blood supply of the distal limb of the healthy limb was good, and there was no obvious abnormality in color and skin temperature, and the blood supply of the limb was normal during activity. The popliteal artery flow velocity in the study group was significantly faster than that in the control group at 1 month after the pedicle was cut, and the foot temperature, toe blood oxygen saturation, S2PD, toenail capillary filling time, and peripheral blood circulation score were significantly better than those in the control group ( P<0.05). There were 8 cases of cold feet and 2 cases of numbness on the healthy side in the control group, while only 3 cases of cold feet occurred in the study group. The incidence of complications in the study group (13.04%) was significantly lower than that in the control group (43.47%) ( χ ²=3.860, P=0.049). There was no significant difference in LEFS score between the two groups at 6 months after operation ( P>0.05). CONCLUSION Flow-through bridge anterolateral thigh flap can reduce postoperative complications of healthy feet and reduce the impact of surgery on blood supply and sensation of healthy feet. It is an effective method for repairing complex calf soft tissue defects.
Humans ; Thigh/surgery* ; Plastic Surgery Procedures ; Leg/surgery* ; Cicatrix/surgery* ; Retrospective Studies ; Soft Tissue Injuries/surgery* ; Treatment Outcome ; Lower Extremity/surgery* ; Skin Transplantation/methods* ; Perforator Flap

Enterotoxigenic Escherichia coli（ETEC）infection can induce watery diarrhea，leading to dehydration，electrolyte disturbance，and even death in severe cases. Recombinant B subunit/inactivated whole-cell cholera（rBS/WC）vaccine is effective in preventing ETEC infectious diarrhea. On the basis of the latest evidence on etiology and epidemiology of ETEC，as well as the effectiveness，safety，and health economics of rBS/WC vaccine，National Clinical Research Center for Child Health（The Children’s Hospital，Zhejiang University School of Medicine）and Zhejiang Provincial Center for Disease Control and Prevention invited experts to develop expert consensus on rBS/WC vaccine in prevention of ETEC infectious diarrhea. It aims to provide the clinicians and vaccination professionals with guidelines on using rBS/WC vaccine to reduce the incidence of ETEC infectious diarrhea.

Objective:To observe the attention processing characteristics of the pilots experiencing black hole illusion, and to provide quantitative data references for flight simulation training guided by eye movement fixation based on the eye movement mode of the pilots with high flight performance score.Methods:The pilots who underwent the transformation training were selected by cluster sampling. Their original flight performance scores were converted into percentile grades. The top 10 and bottom 10 pilots were assigned as high and low score groups. Their eye movement data were recorded when they were completing the night approach and landing task on the flight illusion simulator. The correlation between eye movement data and flight performance in the simulation task were analyzed, and the eye movement patterns of pilots with different flight performance were compared.Results:Thirty-six valid subjects were selected. A total of 12 eye movement indexes were correlated with flight performance ( r=0.334-0.398, all P<0.05). Three eye movement indexes, including peak velocity of exit saccade from attitude indicator of head-up display (HUD), the percentage of total duration of fixations on airspeed indicator of HUD to the total task duration and average duration of whole fixations on attitude indicator could establish a linear regression model with flight performance ( R2=0.422, F=7.77, P<0.001). The percentage of total duration of whole fixations on airspeed indicator of HUD to the total task duration in high score group [(4.38±3.48)%] was higher than that in low score group [(1.72±1.32)%], and the difference was statistically significant ( t=2.25, P=0.045). And the average peak velocity of exit saccade from attitude indicator of HUD in high score group [(358.85±171.40)°/s] was higher than that in low score group [(221.14±92.60)°/s], and the difference was statistically significant ( t=2.24, P=0.038). Conclusions:Eye movement index in the night approach and landing task can be used as an evaluation index of attention ability of pilots in black hole illusion simulation and experience task.

Objective:To observe the attention processing characteristics of the pilots experiencing black hole illusion, and to provide quantitative data references for flight simulation training guided by eye movement fixation based on the eye movement mode of the pilots with high flight performance score.Methods:The pilots who underwent the transformation training were selected by cluster sampling. Their original flight performance scores were converted into percentile grades. The top 10 and bottom 10 pilots were assigned as high and low score groups. Their eye movement data were recorded when they were completing the night approach and landing task on the flight illusion simulator. The correlation between eye movement data and flight performance in the simulation task were analyzed, and the eye movement patterns of pilots with different flight performance were compared.Results:Thirty-six valid subjects were selected. A total of 12 eye movement indexes were correlated with flight performance ( r=0.334-0.398, all P<0.05). Three eye movement indexes, including peak velocity of exit saccade from attitude indicator of head-up display (HUD), the percentage of total duration of fixations on airspeed indicator of HUD to the total task duration and average duration of whole fixations on attitude indicator could establish a linear regression model with flight performance ( R2=0.422, F=7.77, P<0.001). The percentage of total duration of whole fixations on airspeed indicator of HUD to the total task duration in high score group [(4.38±3.48)%] was higher than that in low score group [(1.72±1.32)%], and the difference was statistically significant ( t=2.25, P=0.045). And the average peak velocity of exit saccade from attitude indicator of HUD in high score group [(358.85±171.40)°/s] was higher than that in low score group [(221.14±92.60)°/s], and the difference was statistically significant ( t=2.24, P=0.038). Conclusions:Eye movement index in the night approach and landing task can be used as an evaluation index of attention ability of pilots in black hole illusion simulation and experience task.