Purpose: Metastatic rectal cancer (mRC) is a highly lethal and complex disease that demands a multidisciplinary treatment approach. However, the clinical effectiveness of radiotherapy (RT) for de novo mRC remains controversial and uncertain. Methods: This retrospective cohort study examined medical records from Kaohsiung Chang Gung Memorial Hospital for patients with histologically confirmed de novo mRC diagnosed between January 2015 and December 2020. All patients received standard systemic therapy and radical surgery when feasible. The primary outcome, overall survival (OS), was assessed using the Kaplan-Meier method. Multivariable analysis was performed using a Cox regression model. Results: Among 271 patients included in the analysis, 117 received RT and 154 did not. The median OS was significantly longer in the RT group compared with the non-RT group (27.8 months vs. 21.9 months; P=0.046). Multivariate analysis identified several independent predictors of OS: age ≥65 years (hazard ratio [HR], 1.69; 95% confidence interval [CI], 1.26–2.27; P=0.001), primary tumor resection (HR, 2.62; 95% CI, 1.90–3.61; P<0.001), M1b or M1c disease (HR, 1.97; 95% CI, 1.44–2.69; P<0.001), and receipt of RT (HR, 1.41; 95% CI, 1.02–1.94; P=0.036). Conclusion RT significantly improves OS in patients with mRC, underscoring its role in treatment strategies. These findings support its inclusion in therapeutic protocols and highlight the need for larger, multicenter trials to confirm and extend these results.

Objective: Current guidelines recommend surveillance or diagnostic lobectomy for indeterminate thyroid nodules. Although radiofrequency ablation (RFA) has emerged as a potential alternative, its role remains controversial. Functional imaging modalities, including 99mTc-methoxyisobutylisonitrile scintigraphy and 18 F-fluorodeoxyglucose positron emission tomography, have been used to support risk stratification. This study evaluated the mid-term outcomes of RFA and their predictors in a functionally screened cohort of patients with indeterminate thyroid nodules. Materials and Methods: This retrospective cohort study included 109 patients with Bethesda category III or IV thyroid nodules who underwent RFA after functional imaging–based evaluation between January 2018 and November 2024. The primary outcome was local treatment failure (LTF), defined as the first occurrence of nodule regrowth, an increase in vital volume, or repeated indeterminate cytology. The secondary outcome was complete disappearance of the nodule.Supplementary outcomes included the volume reduction rate, symptom and cosmetic scores, and biochemical markers. Results: During a median follow-up of 2.2 years (range, 0.7–6.8 years), LTF occurred in 15 of 109 patients (13.8%), whereas complete disappearance was observed in 9 (8.3%) patients. The 3-year LTF-free probability and cumulative incidence of complete disappearance were 85.4% and 6.5%, respectively. Significant reductions were observed in the nodule volume, symptom scores, cosmetic scores, and free T4 and thyroglobulin levels. A greater initial maximum nodule diameter was independently associated with a higher likelihood of LTF (hazard ratio [HR] per 1-cm increase, 2.35; 95% confidence interval [CI], 1.23–4.48; P = 0.010) and a lower likelihood of complete disappearance (HR, 0.16; 95% CI, 0.04–0.60; P = 0.006). At 3 years, 93% of the tumors with an initial diameter <3.0 cm remained free of LTF, whereas no tumors >2.1 cm achieved complete disappearance. Conclusion In this functionally screened cohort of patients with indeterminate thyroid nodules, RFA demonstrated acceptable outcomes with volume reduction and symptom relief, particularly in patients with nodules <3 cm.

Objective: To retrospectively compare the safety and efficacy of ultrasound-guided radiofrequency ablation (RFA) with parotidectomy for superficial pleomorphic adenoma (PA). Materials and Methods: From March 2022 to October 2023, 88 patients diagnosed with superficial parotid PA underwent either RFA (n = 12; mean age, 47.1 years) or parotidectomy (n = 76; mean age, 47.8 years). Patients in the RFA group were matched to those in the surgery group in a 1:1 ratio using propensity scores based on age, sex, tumor volume, diameter, location, and comorbidities. Ultrasound characteristics, cosmetic scores (0–4), numerical rating scale scores (0–10), and complications were assessed before the procedures and at 1-, 3-, and 6-month follow-ups. Outcomes were compared between baseline and follow-up in the RFA group and between the RFA and surgery groups. Results: In the RFA group, significant reductions in tumor volume were observed between baseline (median, 2.02 cm 3 ) and the 1-month follow-up (median, 1.21 cm 3 ; P = 0.015), between the 1-month and 3-month follow-ups (median, 0.53 cm 3 ; P= 0.002), and between the 3- and 6-month follow-ups (median, 0.23 cm 3 ; P = 0.003). The volume reduction ratios at 1, 3, and 6 months were 39.7%, 79.9%, and 88.0%, respectively. The cosmetic score was significantly lower at 3- and 6-month followup compared to baseline (median 1 and 1 vs. 4, P = 0.04). The numerical rating scale scores did not differ significantly from baseline throughout follow-up. In the propensity score-matched analysis (12 patients per group), RFA was associated with a shorter median procedure time (61.5 vs. 253.3 minutes; P < 0.001), shorter hospital stay (0 vs. 4 days; P < 0.001), and lower cost (1859.9 vs. 3512.4 USD; P < 0.001) than parotidectomy, with no significant difference in overall complication rates (33.3% [4/12] vs. 41.7% [5/12]; P = 1.000). Conclusion RFA may be a safe and effective alternative to surgery for superficial parotid PA, offering a shorter median procedure time, shorter hospital stay, and lower costs.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective:Systematically integrate the real experience and multi-dimensional needs of patients with breast cancer related lymphedema (BCRL) in the process of self-management to provide reference for clinical development of targeted and systematic interventions.Methods:Computer searches were conducted on qualitative studies on the real experiences, psychological feelings, and multidimensional needs of BCRL patients during self-management in databases such as China National Knowledge Infrastructure, VIP Database, Wanfang Database, China Biomedical Literature Database, CINAHL, PubMed, Cochrane Library, Web of Science, and PsycINFO. The search period was from database establishment to January 31, 2024. According to the qualitative research quality evaluation criteria of the Joanna Briggs Institute Evidence Based Healthcare Center in Australia, the quality of literature was evaluated, and the results were analyzed and integrated using a pooled integration method.Results:A total of 10 articles were included, and 44 research results were extracted. Similar results were classified into 10 categories and synthesized into 3 integrated results, highlighting the difficulties and challenges encountered; need external multidimensional support and assistance; seeking a new normal and perceiving its benefits.Conclusions:BCRL patients face physical and mental challenges in their lifelong self-management process. Hospitals, society, and related institutions should attach importance to and pay attention to the needs, burdens, and beneficial experiences of patients, provide them with more professional guidance and supervision, and collaborate with families and peers to provide support and encouragement, helping patients reduce negative emotions and strengthen coping abilities, thereby improving overall quality of life.

BACKGROUND:With the increasing degree of population aging in China,the incidence of osteoporosis is rising annually.This growing demand for screening and diagnosis poses significant challenges to the healthcare system,increasing the time costs,financial burdens,and radiation exposure risks for patients.OBJECTIVE:To develop a novel interpretable prediction method based on traditional CT examination data and demographic data,aiming to reduce the number of patient examinations and enable multiple screenings from one examination.METHODS:A two-stage interpretable framework for osteoporosis prediction was designed.In the first stage,a human-computer collaborative method was used for annotating CT images,with an innovative vertebra 7-point CT value measurement technique.Patient's sex and age were used as key demographic features to enrich the model's input.In the second stage,the LightGBM model was enhanced by SHapley Additive exPlanations for quantitative analysis of feature importance,improving the interpretability of predictions and increasing clinical trust.Systematic experiments validated the effectiveness of the framework and the stability of the optimal feature set through the comparative analysis of different feature combinations with six machine learning models.To further assess the generalization ability of the model,the model was further tested on an external dataset.RESULTS AND CONCLUSION:The experiment compared six machine learning models suitable for medical applications,and the results showed that LightGBM model achieved an F1 score of 0.902 2 and an area under the curve of 0.938 7,outperforming the other models.In terms of interpretability,the clinical application credibility and operability of the model was increased by ranking and visualizing the contribution of input features to the results.Additionally,this study realized a prototype system,and testing results indicated that the system is user-friendly,capable of quickly processing data to provide prediction results,with visualized outcomes demonstrating good interpretability.This system effectively assists doctors in clinical decision-making and provides robust support for the screening and preliminary diagnosis of osteoporosis.

Objective:Systematic evaluation and integration of the real experience of dietary restriction in patients with inflammatory bowel disease, providing reference for the development of targeted intervention strategies.Methods:Qualitative studies on the dietary restriction experience of patients with inflammatory bowel disease retrieved from PubMed, Cochrane Library, Web of Science, Embase, CINAHL, China National Knowledge Infrastructure, Wanfang, VIP, and Chinese Biomedical Literature Database using computer search. The search period was from the establishment of the database to May 31, 2024. According to the Australian Joanna Briggs Institute Evidence Based Healthcare Center Qualitative Research Quality Evaluation Criteria, the quality of included literature was evaluated, and the results were subjected to meta-analysis using a pooled integration method.Results:A total of 9 studies were included, and 36 research results were extracted and summarized into 9 categories. Then, three integrated results were further synthesized, namely physical and mental impairment and social limitation; change attitude and actively explore; seeking external support to promote beneficial growth.Conclusions:Dietary restrictions for inflammatory bowel disease have various impacts on patients. Medical staff should focus on the nutritional status and emotional needs of patients, and provide multidimensional social support based on their actual dietary management experience. They should develop patient-centered personalized intervention measures to help patients achieve more scientific and effective dietary management and improve their overall quality of life.

BACKGROUND:With the increasing degree of population aging in China,the incidence of osteoporosis is rising annually.This growing demand for screening and diagnosis poses significant challenges to the healthcare system,increasing the time costs,financial burdens,and radiation exposure risks for patients.OBJECTIVE:To develop a novel interpretable prediction method based on traditional CT examination data and demographic data,aiming to reduce the number of patient examinations and enable multiple screenings from one examination.METHODS:A two-stage interpretable framework for osteoporosis prediction was designed.In the first stage,a human-computer collaborative method was used for annotating CT images,with an innovative vertebra 7-point CT value measurement technique.Patient's sex and age were used as key demographic features to enrich the model's input.In the second stage,the LightGBM model was enhanced by SHapley Additive exPlanations for quantitative analysis of feature importance,improving the interpretability of predictions and increasing clinical trust.Systematic experiments validated the effectiveness of the framework and the stability of the optimal feature set through the comparative analysis of different feature combinations with six machine learning models.To further assess the generalization ability of the model,the model was further tested on an external dataset.RESULTS AND CONCLUSION:The experiment compared six machine learning models suitable for medical applications,and the results showed that LightGBM model achieved an F1 score of 0.902 2 and an area under the curve of 0.938 7,outperforming the other models.In terms of interpretability,the clinical application credibility and operability of the model was increased by ranking and visualizing the contribution of input features to the results.Additionally,this study realized a prototype system,and testing results indicated that the system is user-friendly,capable of quickly processing data to provide prediction results,with visualized outcomes demonstrating good interpretability.This system effectively assists doctors in clinical decision-making and provides robust support for the screening and preliminary diagnosis of osteoporosis.

To investigate the prevalence of influenza D virus(IDV)in cattle and swine populations in Jilin Province,China,277 nasopharyngeal swabs were collected from livestock exhibiting influ-enza-like symptoms for IDV detection.Virus isolation was performed using swine testicular(ST)cells for PCR-positive samples,followed by comprehensive analyses including whole-genome se-quencing,phylogenetic analysis,electron microscopic observation of viral morphology,and glycosy-lation site prediction.Two IDV strains were successfully isolated from bovine samples,designated as D/bovine/China/JL22/2024(JL22)and D/bovine/China/JL34/2024(JL34).These strains were demonstrated to have specific hemagglutination activity against turkey red blood cells,while no he-magglutination to chicken,rabbit,or guinea pig erythrocytes.Virus-inoculated ST cells exhibited distinct cytopathic effects(CPE)within 48 h,with a hemagglutination titer of 4 log2 in the culture supernatant.Phylogenetic analysis of the hemagglutinin-esterase-fusion(HEF)gene indicated that these strains were most closely related to the Japanese isolate D/Yamagata2019,belonging to the YAMA2019 lineage.Genomic sequence analysis showed the absence of genetic reassortment in these isolates.In this study,two IDV strains were successfully isolated and characterized,which provides preliminary insights into their genomic sequences and biological properties.The findings confirm the presence of IDV in bovine populations in Jilin Province and provide the fundamental data for future epidemiological surveillance and control strategies of IDV.