Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To observe the daily bladder and bowel preparation of patients with prostate cancer by cone-beam computed tomography (CBCT), and analyze its impact on the precise implementation of radiotherapy for prostate cancer and side effects. Methods We retrospectively analyzed 38 patients with prostate cancer who underwent volumetric modulated arc therapy. The number of radiation fractions for each patient ranged from 25 to 35. A CBCT scan was performed before each daily radiation therapy, and the number of scans for each patient ranged from 25 to 40. Setup errors were adjusted to ensure that the tumor was targeted and the rectum wall was not in the high-dose target area of the prostate. There were 93 instances where treatment could not be successfully implemented and re-preparation and re-scanning were required. We calculated the success rate of treatment and setup errors, compared radiotherapist-adjusted error values under different bladder and bowel preparation conditions, and recorded radiotherapy-related side effects. Results The success rate of treatment in the 38 patients was (92.14 ± 5.25)%. Among the 93 instances of seriously inadequate preparation, 48.4% were due to insufficient bladder filling, and 30.1% were due to intestinal bloating. Radiotherapy side effects were negatively correlated with the success rate of treatment (r = −0.393, P = 0.015). When bladder filling was sufficient, there were no significant differences in radiotherapist-adjusted error values in the left-right (LR), superior-inferior (SI), and anterior-posterior (AP) directions between adequate and inadequate bowel preparation (P > 0.05). When the bladder was moderately or insufficiently filled, there were significant differences in radiotherapist-adjusted error values in the LR, SI, and AP directions between adequate and inadequate bowel preparation (P < 0.05). Conclusion Insufficient bladder filling and intestinal bloating are the main factors influencing the successful implementation of radiotherapy for prostate cancer. When the bladder is sufficiently filled, bowel preparation does not affect prostate position change.

Objective:To analyze the association between healthy lifestyle and mortality among Henan Province 35-74 years old individuals.Methods:Data from the programme of screening and intervention subjects with high-risk cardiovascular disease 99 133 adults were analyzed in a provincial cohort study of 16 counties. Four healthy lifestyle behaviors were assessed based on a questionnaire survey. Information on mortality endpoints was retrieved from the national death surveillance system. Cox proportional hazards regression models were used to estimate the associations between healthy lifestyles, mortality risk and population attributable fraction (PAF).Results:Out of the adult participants in Henan, 50.6% adhered to a healthy lifestyle, and only 0.1% adhered to 4 healthy lifestyle behaviours. During a mean of 4.5 years, 2 685 all-cause death and 1 283 cardiovascular deaths were documented. The decreased risk of mortality among individuals with non-smoking, moderate drinking, adequate exercise and healthy diet were 0.85 (95% CI: 0.77-0.94), 0.75 (95% CI: 0.63-0.89), 0.73 (95% CI: 0.67-0.79) and 0.86 (95% CI: 0.77-0.96), while the adjusted PAF for all-cause deaths were 5.2% (95% CI: 2.5%-7.9%), 24.0% (95% CI: 10.7%-36.4%), 19.4% (95% CI: 13.8%-24.8%) and 12.3% (95% CI: 3.4%-20.9%), respectively. A combined healthy lifestyle can bring more health benefits. Adherence to 4 healthy lifestyle behaviours could avoid 49.1% of all-cause death. Conclusion:Adherence to a healthy lifestyle can reduce the risk of death, and participants with a healthy lifestyle had a lower mortality risk.

Objective To study the common basis and association between sickness behaviour and occurrence of classical symptoms of kidney yang deficiency of rats with adriamycin nephropathy.Methods The SD rats were given adriamycin by tail-vein injection for 2 times(4.0 and 3.5 mg·kg-1,one week apart)to construct the model of nephrotic syndrome with Chinese medicine symptom of kidney yang deficiency.After successful modeling,the model rats were randomly divided into adriamycin group(ADR group),corticosterone group(CORT group)and hydrocortisone group(HYD group),with 12 rats per group;another 12 normal rats were taken as normal group.In the HYD group,25 mg·kg-1·d-1 HYD was administered for 14 d to establish kidney yang deficiency model with simple hypothalamus-pituitary-adrenal cortex(HPA)axis inhibition.CORT group was adding 25 μg·mL-1 corticosterone to the water for 6 weeks,and the others drinking water supplied.The levels of urinary 17-hydroxy steroid were measured by enzyme linked immunosorbent assay.Glucocorticoid receptor(GR)and nuclear factor-kappa B(NF-κB)protein expression levels in kidney and hypothalamus were detected by Western blotting.Results In the normal,ADR,CORT and HYD groups,the urinary 17-hydroxysteroid levels were(19.14±1.94),(10.07±1.62),(20.30±1.55)and(14.23±2.37)μg·L-1;the relative expression levels of GR protein in hypothalamic were 0.63±0.05,0.11±0.05,0.85±0.08 and 0.35±0.06;the relative expression levels of NF-κB protein in hypothalamic were 0.06±0.03,0.96±0.03,0.59±0.01 and 0.23±0.04;the relative expression levels of GR protein in kidney tissue were 0.94±0.06,0.06±0.02,0.40±0.02 and 0.09±0.08;the relative expression levels of NF-κB protein in kidney tissue were 0.07±0.05,0.81±0.12,0.72±0.07 and 0.49±0.08,respectively.Compared with the ADR and HYD groups,the above indexes in the normal group were statistically significant(P＜0.05,P＜0.01).And compared with the ADR group,the relative expression levels of NF-κB protein in renal tissue with CORT group were not statistically significant(P＞0.05),but the other indexes in CORT group were statistically significant(all P＜0.01).Conclusion HPA axis dysfunction with GR damaged and activated inflammatory levels are the common basis for the combination of typical symptoms of kidney yang deficiency and sickness behaviour which characterised by"deficiency and cold syndrome".

Background::The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to preimplantation genetic testing for aneuploidy (PGT-A) treatment. However, it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods::From February 2020 to May 2021, we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos, the clinical information of couples, and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment. Initially, we developed a novel deep learning model called the Attentive Multi-Focus Selection Network (AMSNet) to analyze time-lapse videos in real time and predict blastocyst formation. Building upon AMSNet, we integrated additional clinically predictive variables and created a second deep learning model, the Attentive Multi-Focus Video and Clinical Information Fusion Network (AMCFNet), to assess the euploidy status of embryos. The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements. The receiver operating characteristic curve (ROC) was used to evaluate the superiority of the model. Results::A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task, and 1422 qualified blastocysts received PGT-A ( n = 589) or PGT for chromosomal structural rearrangement (PGT-SR, n = 833) were enrolled for the euploidy assessment task in this study. The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy. The real-time accuracy for AMSNet to predict blastocyst formation reached above 70% on the day 2 of embryo culture, and then increased to 80% on the day 4 of embryo culture. Combing with 4 clinical features of couples, the AUC of AMCFNet with 7 focal points increased to 0.729 in blastocysts derived from couples with chromosomal rearrangement. Conclusion::Integrating seven focal raw time-lapse images of embryos and parental clinical information, AMCFNet model have the capability of assessing euploidy status in blastocysts derived from couples with chromosomal rearrangement.

Objectives: This study aimed to present the Asia-Pacific consensus on long-term and sequential therapy for osteoporosis, offering evidence-based recommendations for the effective management of this chronic condition.The primary focus is on achieving optimal fracture prevention through a comprehensive, individualized approach. Methods: A panel of experts convened to develop consensus statements by synthesizing the current literature and leveraging clinical expertise. The review encompassed long-term anti-osteoporosis medication goals, first-line treatments for individuals at very high fracture risk, and the strategic integration of anabolic and anti resorptive agents in sequential therapy approaches. Results: The panelists reached a consensus on 12 statements. Key recommendations included advocating for anabolic agents as the first-line treatment for individuals at very high fracture risk and transitioning to anti resorptive agents following the completion of anabolic therapy. Anabolic therapy remains an option for in dividuals experiencing new fractures or persistent high fracture risk despite antiresorptive treatment. In cases of inadequate response, the consensus recommended considering a switch to more potent medications. The consensus also addressed the management of medication-related complications, proposing alternatives instead of discontinuation of treatment. Conclusions This consensus provides a comprehensive, cost-effective strategy for fracture prevention with an emphasis on shared decision-making and the incorporation of country-specific case management systems, such as fracture liaison services. It serves as a valuable guide for healthcare professionals in the Asia-Pacific region, contributing to the ongoing evolution of osteoporosis management.