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 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

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.

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 verify the feasibility and accuracy of the "lung surface intersegmental constant proportion landmarks", developed by our center, in identifying intersegmental planes during pulmonary segmentectomy. Methods    We prospectively enrolled the patients who planned to receive thoracoscopic segmentectomy in West China Hospital of Sichuan University and The Third People's Hospital of Chengdu from September 2021 to October 2021. We took a relatively objective and feasible method, intravenous injection of indocyanine green, in identifying intersegmental planes as standard control. We intraoperatively judged the consistency between "lung surface intersegmental constant proportion landmarks" and intravenous injection of indocyanine green in identifying intersegmental planes. We discerned main landmarks of intersegmental plane by the constant proportion segment module, which was built based on the "lung surface intersegmental constant proportion landmarks", as well as distinguished the planes with discrepant fluorescence by peripheral intravenous indocyanine green injection. When the distance between the landmarks determined by the "ung surface intersegmental constant proportion landmarks" and the segmental boundaries displayed by indocyanine green  fluorescence staining was ≤1 cm, the landmarks were judged to be consistent with the planes with discrepant fluorescence. As long as one of the landmarks was judged to be consistent, the method was considered to be feasible and accurate. Results 聽 聽 A total of 21 patients who underwent thoracoscopic segmentectomy were enrolled, with 5 male and 16 female patients. The median age was 55 years, ranging from 34 to 76 years. A total of 11 patients received left-side surgery, while 10 patients received right-side surgery. In the operations of 21 pulmonary segmentectomies, at least one intersegmental landmark determined by the "lung surface intersegmental constant proportion landmarks" was consistent with the intersegmental plane determined by indocyanine green fluorescence staining in each patient. Conclusion 聽 聽The intersegmental landmarks determined by the "lung surface intersegmental constant proportion landmarks" are consistent with that determined by indocyanine green fluorescence staining. The method of "lung surface intersegmental constant proportion landmarks" is feasible and accurate in identifying intersegmental planes during pulmonary segmentectomy.

Objective: To quantitatively analyze the chest computerized tomography ( CT ) images of coronavirus disease 2019 ( COVID-19 ) cases by automatic artificial intelligence ( AI ) system, so as to provide the basis for the prediction of severe cases and early clinical intervention. Methods: Eighty-three confirmed cases of COVID-19 from January 23 to February 14, 2020 in Wuchang Hospital of Wuhan were selected and the clinical data were collected. According to the diagnosis and treatment Plan of COVID-19 (seventh trial), the patients were divided into an ordinary group and a severe group. The parameters of chest CT images were quantified by the automatic AI system, and the CT imaging features of two groups were compared. Results: There were 46 cases in the ordinary group and 37 cases in the severe group, with the age of ( 62.68 ±13.69 ) years and ( 50.52 ±12.45 ) years, respectively. The percentages of total pulmonary lesions, the lesion volume of bilateral lungs, the lesion volume of right lower lung, the left lung volume and the right lung volume from -300 to -200 Hu [median (inter-quartile range)] were 19.80% ( 21.69% ), 622.87 ( 1 145.73 ) cm3, 205.73 ( 246.95 ) cm3, 26.50 (21.20) cm3 and 38.02 (48.78) cm3 in the severe group, which were significantly different from 9.78% ( 13.24% ), 333.55 ( 401.77 ) cm3, 126.02 (164.21) cm3, 21.43 (13.11) cm3 and 26.92 ( 18.04 ) cm3 in the ordinary group ( P<0.05 ). The volume of pulmonary lesions reached the peak from 10 to 16 days after infection. Conclusion The lung lesions in severe cases of COVID-19 are large, especially in the right lower lung, and need to be closely monitored from 10 to 16 days after infection for early warning of severe cases.