Objective: This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise. Methods: Using the pretrained Mask Region-Based Convolutional Neural Networks model, originally developed for vertebral body segmentation and fracture detection, we fine-tuned the model and added a new module for measuring fracture metrics—compression rate (CR), Cobb angle (CA), Gardner angle (GA), and sagittal index (SI)—from lumbar spine lateral radiographs. These metrics were derived from six-point labeling by 3 radiologists, forming the ground truth (GT). Training utilized 1,000 nonfractured and 318 fractured radiographs, while validations employed 213 internal and 200 external fractured radiographs. The accuracy of the DL algorithm in quantifying fracture features was evaluated against GT using the intraclass correlation coefficient. Additionally, 4 readers with varying expertise levels, including trainees and an attending spine surgeon, performed measurements with and without DL assistance, and their results were compared to GT and the DL model. Results: The DL algorithm demonstrated good to excellent agreement with GT for CR, CA, GA, and SI in both internal (0.860, 0.944, 0.932, and 0.779, respectively) and external (0.836, 0.940, 0.916, and 0.815, respectively) validations. DL-assisted measurements significantly improved most measurement values, particularly for trainees. Conclusion The DL algorithm was validated as an accurate tool for quantifying TL fracture features using radiographs. DL-assisted measurement is expected to expedite the diagnostic process and enhance reliability, particularly benefiting less experienced clinicians.

The study of human immunodeficiency virus (HIV) infection during pregnancy is of great significance because most women are first diagnosed with HIV during pregnancy. Similarly, it is equally important in cases where one or both partners are HIV-positive and wish to conceive. Since the first case of HIV was reported in the 1980s, antiviral drugs have been developed to prevent progression to acquired immunodeficiency syndrome (AIDS), which allows many AIDS patients to be asymptomatic or have only mild symptoms. This case shows that consecutive pregnancies and births are possible through proper antiretroviral therapy along with regular prenatal examinations in HIV-positive women.Rather than recommending contraception or expressing negative opinions about pregnancy in HIV-infected couples, active HIV treatment and prenatal care should be conducted to support a safe pregnancy and lower the chance of vertical HIV transmission. Recently, there has been a case report on successive childbirths of HIV-positive pregnant women who continued to receive antiretroviral therapy after their first childbirth at our hospital. Through this case, we report that safe delivery of HIV-infected mothers is possible, and further subsequent childbirths can be achieved with the use of appropriate antiretroviral therapy.

Objective: This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise. Methods: Using the pretrained Mask Region-Based Convolutional Neural Networks model, originally developed for vertebral body segmentation and fracture detection, we fine-tuned the model and added a new module for measuring fracture metrics—compression rate (CR), Cobb angle (CA), Gardner angle (GA), and sagittal index (SI)—from lumbar spine lateral radiographs. These metrics were derived from six-point labeling by 3 radiologists, forming the ground truth (GT). Training utilized 1,000 nonfractured and 318 fractured radiographs, while validations employed 213 internal and 200 external fractured radiographs. The accuracy of the DL algorithm in quantifying fracture features was evaluated against GT using the intraclass correlation coefficient. Additionally, 4 readers with varying expertise levels, including trainees and an attending spine surgeon, performed measurements with and without DL assistance, and their results were compared to GT and the DL model. Results: The DL algorithm demonstrated good to excellent agreement with GT for CR, CA, GA, and SI in both internal (0.860, 0.944, 0.932, and 0.779, respectively) and external (0.836, 0.940, 0.916, and 0.815, respectively) validations. DL-assisted measurements significantly improved most measurement values, particularly for trainees. Conclusion The DL algorithm was validated as an accurate tool for quantifying TL fracture features using radiographs. DL-assisted measurement is expected to expedite the diagnostic process and enhance reliability, particularly benefiting less experienced clinicians.

The study of human immunodeficiency virus (HIV) infection during pregnancy is of great significance because most women are first diagnosed with HIV during pregnancy. Similarly, it is equally important in cases where one or both partners are HIV-positive and wish to conceive. Since the first case of HIV was reported in the 1980s, antiviral drugs have been developed to prevent progression to acquired immunodeficiency syndrome (AIDS), which allows many AIDS patients to be asymptomatic or have only mild symptoms. This case shows that consecutive pregnancies and births are possible through proper antiretroviral therapy along with regular prenatal examinations in HIV-positive women.Rather than recommending contraception or expressing negative opinions about pregnancy in HIV-infected couples, active HIV treatment and prenatal care should be conducted to support a safe pregnancy and lower the chance of vertical HIV transmission. Recently, there has been a case report on successive childbirths of HIV-positive pregnant women who continued to receive antiretroviral therapy after their first childbirth at our hospital. Through this case, we report that safe delivery of HIV-infected mothers is possible, and further subsequent childbirths can be achieved with the use of appropriate antiretroviral therapy.

Objectives: The purpose of this field case report is 1) to analyze the community's strategy and performance in responding to infectious diseases through the case of COVID-19 infectious disease crisis response of Daegu Metropolitan City, and 2) to interpret this case using governance theory and infectious disease response governance framework. and 3) to propose a strategic model to prepare for future infectious disease outbreaks of the community. Methods: Cases of Daegu Metropolitan City's infectious disease crisis response were analyzed through researchers' participatory observations. And review of OVID-19 White Paper of Daegu Metropolitan City, Daegu Medical Association's COVID-19 White Paper, and literature review of domestic and international governance, and administrative documents. Results: Through the researcher's participatory observation and literature review, 1) establishment of leadership and response system to respond to the infectious disease crisis in Daegu Metropolitan City, 2) citizen’s participation and communication strategy through the pan-citizen response committee, 3) cooperation between Daegu Metropolitan City and governance of public-private medical facilities, 4) decision-making and crisis response through participation and communication between the Daegu Metropolitan City Medical Association, Medi-City Daegu Council, and medical experts of private sector, 5) symptom monitoring and patient triage strategies and treatment response for confirmed infectious disease patients by member of Daegu Medical Association, 6) strategies and implications for establishing and utilizing a local infectious disease crisis response information system were derived. Conclusions The results of the study empirically demonstrate that collaborative governance of the community through the participation of citizens, private sector experts, and community medical facilities is a key element for effective response to infectious disease crises.

OBJECTIVES: Long-term care facilities (LTCFs) are communal environments for patients with chronic diseases or older adults, making them particularly susceptible to significant harm during infectious disease outbreaks. Nonetheless, LTCFs have historically been subject to less stringent infection prevention and control (IPC) mandates. This study aimed to assess the current state of LTCFs and to develop an IPC system tailored for these facilities following the coronavirus disease 2019 (COVID-19) pandemic. METHODS: We conducted an online survey of 11,366 LTCFs in Korea from December 30, 2022 to January 20, 2023, to evaluate the components of IPC in LTCFs. The infectious diseases targeted for IPC included COVID-19, influenza, and scabies. Additionally, we compared institution-based and home-based long-term care insurance facilities. RESULTS: Overall, 3,537 (31.1%) LTCFs responded to the survey, comprising 1,819 (51.4%) institution-based and 1,718 (48.6%) home-based facilities. A majority (87.4%, 2,376/2,720) of these facilities experienced COVID-19 outbreaks. However, only 42.2% of home-based facilities, in contrast to 90.6% of institution-based facilities, were equipped to manage concurrent COVID-19 cases. Similarly, while 92.1% of institution-based facilities were capable of managing influenza, only 50.5% of home-based facilities could do the same. The incidence of scabies was significantly higher in institution-based facilities than in home-based ones (26.1 vs. 4.3%). Additionally, 88.7% of institution-based facilities managed scabies cases effectively, compared to only 42.1% of home-based facilities. CONCLUSIONS Approximately half of the LTCFs had a basic capacity to respond to infectious diseases. However, there were differences in response capabilities between institution-based facilities and home-based facilities.

Objective: This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise. Methods: Using the pretrained Mask Region-Based Convolutional Neural Networks model, originally developed for vertebral body segmentation and fracture detection, we fine-tuned the model and added a new module for measuring fracture metrics—compression rate (CR), Cobb angle (CA), Gardner angle (GA), and sagittal index (SI)—from lumbar spine lateral radiographs. These metrics were derived from six-point labeling by 3 radiologists, forming the ground truth (GT). Training utilized 1,000 nonfractured and 318 fractured radiographs, while validations employed 213 internal and 200 external fractured radiographs. The accuracy of the DL algorithm in quantifying fracture features was evaluated against GT using the intraclass correlation coefficient. Additionally, 4 readers with varying expertise levels, including trainees and an attending spine surgeon, performed measurements with and without DL assistance, and their results were compared to GT and the DL model. Results: The DL algorithm demonstrated good to excellent agreement with GT for CR, CA, GA, and SI in both internal (0.860, 0.944, 0.932, and 0.779, respectively) and external (0.836, 0.940, 0.916, and 0.815, respectively) validations. DL-assisted measurements significantly improved most measurement values, particularly for trainees. Conclusion The DL algorithm was validated as an accurate tool for quantifying TL fracture features using radiographs. DL-assisted measurement is expected to expedite the diagnostic process and enhance reliability, particularly benefiting less experienced clinicians.

The study of human immunodeficiency virus (HIV) infection during pregnancy is of great significance because most women are first diagnosed with HIV during pregnancy. Similarly, it is equally important in cases where one or both partners are HIV-positive and wish to conceive. Since the first case of HIV was reported in the 1980s, antiviral drugs have been developed to prevent progression to acquired immunodeficiency syndrome (AIDS), which allows many AIDS patients to be asymptomatic or have only mild symptoms. This case shows that consecutive pregnancies and births are possible through proper antiretroviral therapy along with regular prenatal examinations in HIV-positive women.Rather than recommending contraception or expressing negative opinions about pregnancy in HIV-infected couples, active HIV treatment and prenatal care should be conducted to support a safe pregnancy and lower the chance of vertical HIV transmission. Recently, there has been a case report on successive childbirths of HIV-positive pregnant women who continued to receive antiretroviral therapy after their first childbirth at our hospital. Through this case, we report that safe delivery of HIV-infected mothers is possible, and further subsequent childbirths can be achieved with the use of appropriate antiretroviral therapy.

Objective: This study aimed to evaluate the therapeutic role of lymphadenectomy in patients surgically treated for clinically early-stage epithelial ovarian cancer (EOC). Methods: This retrospective, multicenter study included patients with clinically earlystage EOC based on preoperative abdominal-pelvic computed tomography or magnetic resonance imaging findings between 2007 and 2021. Oncologic outcomes and perioperative complications were compared between the lymphadenectomy and non-lymphadenectomy groups. Independent prognostic factors were determined using Cox regression analysis.Disease-free survival (DFS) was the primary outcome. Overall survival (OS) and perioperative outcomes were the secondary outcomes. Results: In total, 586 patients (lymphadenectomy group, n=453 [77.3%]; nonlymphadenectomy groups, n=133 [22.7%]) were eligible. After surgical staging, upstaging was identified based on the presence of lymph node metastasis in 14 (3.1%) of 453 patients.No significant difference was found in the 5-year DFS (88.9% vs. 83.4%, p=0.203) and 5-year OS (97.2% vs. 97.7%, p=0.895) between the two groups. Using multivariable analysis, lymphadenectomy was not significantly associated with DFS or OS. However, using subgroup analysis, the lymphadenectomy group with serous histology had higher 5-year DFS rates than did the non-lymphadenectomy group (86.5% vs. 74.4%, p=0.048; adjusted hazard ratio=0.281; 95% confidence interval=0.107–0.735; p=0.010). The lymphadenectomy group had longer operating time (p<0.001), higher estimated blood loss (p<0.001), and higher perioperative complication rate (p=0.004) than did the non-lymphadenectomy group. Conclusion In patients with clinically early-stage EOC with serous histology, lymphadenectomy was associated with survival benefits. Considering its potential harm,

Objective: This study aims to investigate the implementation rate and influencing factors of confirmatory tests for women with abnormal cervical cytology results in the Korean nationwide cervical cancer screening program. Methods: The National Health Insurance Service (NHIS) database was utilized to identify all Korean women who have participated in the Korean nationwide cervical cancer screening program from January 2011 and December 2021 using the NHIS database. Multiple logistic regression analysis was performed to estimate the multivariate odds ratio and evaluate the patients’ characteristics. Results: The rate of abnormal Papanicolaou (Pap) smears showed an initial increase from 2011 to 2015 and subsequently reached a plateau after 2016. When examining specific subcategories, cases of atypical squamous cells of undetermined significance (ASC-US) increased from 28,546 cases (1.1%) in 2011 to 62,850 cases (1.7%) in 2021. In contrast, cases of HSIL and SCC declined from 3,535 cases (0.14%) to 2,763 cases (0.07%) and from 383 cases (0.01%) to 179 cases (0.005%), respectively. Furthermore, the implementation rate of confirmatory tests for women with abnormal cytology increased from 8,865 cases (21.0%) in 2011 to 39,045 cases (51.2%) in 2021. Regarding the specific subcategory of ASC-US, the number of confirmatory tests exhibited a substantial increase from 4,101 cases (14.4%) in 2011 to 30,482 cases (48.5%) in 2021. For SCC, there was no significant change, with 216 cases (56.4%) in 2011 and 102 cases (57.0%) in 2021. The implementation rate of confirmatory tests was found to be significantly associated with results of abnormal Pap smear, age, and residence. Notably, economic status did not emerge as a significant factor affecting the likelihood of undergoing confirmatory tests. Conclusions The severity of abnormal Pap smear results is a reliable indicator of the probability of undergoing a confirmatory test. Additional endeavors are required to improve the implementation rate among women who have received abnormal Pap smear results.