OBJECTIVE: To explore the differences in the implantation safety and stability of a S ₁ alar-iliac screw (S1AIS) or S2AIS for sacroiliac joint fixation, providing reference for selecting appropriate internal fixation in clinical practice. METHODS: Patients who underwent pelvic CT examination between January 2024 and December 2024 were selected. CT data from 80 patients with normal pelvic structure who met the selection criteria were included in a 1∶1 male to female ratio. CT digital reconstruction technology was used to measure the transverse and longitudinal diameters of the S1AIS and S2AIS insertable ranges, as well as the length, width, and sacral side length of the screw trajectory. The pelvic CT data from 30 patients were randomly selected based on a 1∶1 male to female ratio for three-dimensional (3D) printing of pelvic samples. The S1AIS/S2AIS with a diameter of 6.5 mm and 8.0 mm were implanted at the optimal entry/exit points on the left and right sides, respectively, to observe the perforation of the screw trajectory. The pelvic CT data from 1 patient was randomly selected for 3D printing of 10 pelvic samples to simulate Tile C2 fracture. They were divided into S1AIS group ( n=5) and S2AIS group ( n=5), with one S1AIS and one S2AIS fixation used for posterior sacroiliac joint separation, and the specimen stiffness and maximum load were measured by using an electric tension torsion dual axis universal mechanical tester. RESULTS: The anatomical parameter measurement showed that there was no significant difference in the length and width of the screw trajectory between S1AIS and S2AIS ( P>0.05), but the transverse and longitudinal diameters of the insertable ranges, as well as the sacral side length of the screw trajectory, were all greater than those of S2AIS, with significant differences ( P<0.05). After simulating the implantation of S1AIS and S2AIS with a diameter of 6.5 mm in pelvic specimens, no screw penetration was observed. Both S1AIS and S2AIS with a diameter of 8.0 mm showed screw penetration, with S2AIS having a higher incidence of posterior lateral sacral cortical penetration (46.7%) than S1AIS (3.3%) ( P<0.05). The biomechanical test showed that the stiffness and maximum load of S2AIS were significantly lower than those of S1AIS ( P<0.05). CONCLUSION As a method to fix the sacroiliac joint, the S1AIS has a larger insertable range, a longer sacral side length of the screw trajectory, a lower incidence of posterior lateral cortical rupture of the sacrum, and a greater fixation strength than S2AIS. Therefore, the implantation safety and fixation stability of the S1AIS are superior to S2AIS, and a diameter less than 8.0 mm screws should be selected as S2AIS for Chinese people.
Humans ; Bone Screws ; Sacroiliac Joint/diagnostic imaging* ; Male ; Female ; Sacrum/diagnostic imaging* ; Fracture Fixation, Internal/instrumentation* ; Ilium/diagnostic imaging* ; Tomography, X-Ray Computed ; Middle Aged ; Adult ; Printing, Three-Dimensional ; Aged

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To investigate the diagnostic value of fetal cardiac ultrasound view visualization in the first trimester for congenital heart disease（CHD）.Methods:A retrospective analysis was performed on 13 323 singleton fetuses who underwent first-trimester（11-13 +6 weeks）ultrasound screening at the Ultrasound Medicine Center，the Affiliated Suzhou Hospital of Nanjing Medical University from January 2018 to June 2024. Cardiac views including the four-chamber view（4CV），left ventricular outflow tract view（LVOT），and Results:The study group showed significantly higher rates of "poorly visualized" 4CV，LVOT，and 3VT than the control group（2.70% vs. 0.14%， P=0.005；36.49% vs. 4.76%， P<0.001；36.49% vs.2.46%， P<0.001）. The efficacies of combination 1（any view abnormal）and combination 2（any view "poorly visualized" or "abnormal"）were comparable，with AUCs of 0.86 and 0.85（ P=0.424）. The AUCs of combination 3（3VT "poorly visualized" or any view "abnormal"）and combination 4（4CV "poorly visualized" or any view "abnormal"）were 0.88 and 0.86（ P=0.424），all significantly higher than combination 5（LVOT "poorly visualized" or any view "abnormal"，AUC=0.84，all P<0.05）. Conclusions:"Poorly visualized" cardiac views in the first trimester demonstrate good diagnostic efficacy for CHD，particularly when 3VT or 4CV are affected，warranting heightened clinical vigilance for fetal cardiac anomalies.

Objective To summarize and analyze the clinicopathological characteristics,imaging manifestations,treatment and prognosis of anaplastic lymphoma kinase(ALK)-positive histiocytosis(APH)involving the central nervous system(CNS),so as to enhance understanding of this rare disease.Methods A retrospective analysis was conducted on 5 cases of CNS-involved APH diagnosed in Huashan Hospital,Fudan University between 2019 and 2023.Clinical,imaging and pathological data were collected,and supplemented by immunohistochemical staining(IHC),fluorescence in situ hybridization(FISH)and high-throughput sequencing for auxiliary diagnosis and molecular characterization.The findings were summarized and integrated with previous literature for a comprehensive analysis.Results All five patients were male,with a mean age of 27.6 years,in which 2 cases exhibited multi-system involvement,while 3 cases exhibited single system involvement.Imaging revealed multiple intracranial lesions in multi-system cases and solitary lesions in single system cases,with well-defined boundaries and homogeneous enhancement.Histologically,tumor cells were intermingled with lymphocytes,displaying an alternating"light and dark"pattern in 1 case.Granuloma-like structures were observed in 4 cases,along with frequent nuclear grooves,indentations and convolutions.Tumor cells usually infiltrated surrounding tissues.IHC demonstrated that tumors expressed histiocytic markers(CD68/CD163)and ALK predominantly expressed in the cytoplasm.FISH confirmed ALK gene rearrangements in all patients,while high-throughput sequencing identified KIF5B-ALK fusions in 2 cases.All single system CNS cases achieved complete remission after surgical resection with or without adjuvant chemotherapy/ALK inhibitors.Among multi-system cases,one achieved partial remission,and one experienced relapse and progression.Conclusion CNS APH is prone to preoperative misdiagnosis.Its histopathological features,ALK immunohistochemical expression,and ALK gene fusions are critical for diagnosis.Patients with single system involvement demonstrate overall superior outcomes compared to multi-system cases.Total resection is effective for localized disease,while multi-system cases require systemic therapy.Multidisciplinary collaboration is crucial for precise diagnosis and treatment.

Objective To summarize and analyze the clinicopathological characteristics,imaging manifestations,treatment and prognosis of anaplastic lymphoma kinase(ALK)-positive histiocytosis(APH)involving the central nervous system(CNS),so as to enhance understanding of this rare disease.Methods A retrospective analysis was conducted on 5 cases of CNS-involved APH diagnosed in Huashan Hospital,Fudan University between 2019 and 2023.Clinical,imaging and pathological data were collected,and supplemented by immunohistochemical staining(IHC),fluorescence in situ hybridization(FISH)and high-throughput sequencing for auxiliary diagnosis and molecular characterization.The findings were summarized and integrated with previous literature for a comprehensive analysis.Results All five patients were male,with a mean age of 27.6 years,in which 2 cases exhibited multi-system involvement,while 3 cases exhibited single system involvement.Imaging revealed multiple intracranial lesions in multi-system cases and solitary lesions in single system cases,with well-defined boundaries and homogeneous enhancement.Histologically,tumor cells were intermingled with lymphocytes,displaying an alternating"light and dark"pattern in 1 case.Granuloma-like structures were observed in 4 cases,along with frequent nuclear grooves,indentations and convolutions.Tumor cells usually infiltrated surrounding tissues.IHC demonstrated that tumors expressed histiocytic markers(CD68/CD163)and ALK predominantly expressed in the cytoplasm.FISH confirmed ALK gene rearrangements in all patients,while high-throughput sequencing identified KIF5B-ALK fusions in 2 cases.All single system CNS cases achieved complete remission after surgical resection with or without adjuvant chemotherapy/ALK inhibitors.Among multi-system cases,one achieved partial remission,and one experienced relapse and progression.Conclusion CNS APH is prone to preoperative misdiagnosis.Its histopathological features,ALK immunohistochemical expression,and ALK gene fusions are critical for diagnosis.Patients with single system involvement demonstrate overall superior outcomes compared to multi-system cases.Total resection is effective for localized disease,while multi-system cases require systemic therapy.Multidisciplinary collaboration is crucial for precise diagnosis and treatment.

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To investigate the diagnostic value of fetal cardiac ultrasound view visualization in the first trimester for congenital heart disease（CHD）.Methods:A retrospective analysis was performed on 13 323 singleton fetuses who underwent first-trimester（11-13 +6 weeks）ultrasound screening at the Ultrasound Medicine Center，the Affiliated Suzhou Hospital of Nanjing Medical University from January 2018 to June 2024. Cardiac views including the four-chamber view（4CV），left ventricular outflow tract view（LVOT），and Results:The study group showed significantly higher rates of "poorly visualized" 4CV，LVOT，and 3VT than the control group（2.70% vs. 0.14%， P=0.005；36.49% vs. 4.76%， P<0.001；36.49% vs.2.46%， P<0.001）. The efficacies of combination 1（any view abnormal）and combination 2（any view "poorly visualized" or "abnormal"）were comparable，with AUCs of 0.86 and 0.85（ P=0.424）. The AUCs of combination 3（3VT "poorly visualized" or any view "abnormal"）and combination 4（4CV "poorly visualized" or any view "abnormal"）were 0.88 and 0.86（ P=0.424），all significantly higher than combination 5（LVOT "poorly visualized" or any view "abnormal"，AUC=0.84，all P<0.05）. Conclusions:"Poorly visualized" cardiac views in the first trimester demonstrate good diagnostic efficacy for CHD，particularly when 3VT or 4CV are affected，warranting heightened clinical vigilance for fetal cardiac anomalies.