Background: Colorectal cancer (CRC) stands as the third most prevalent cancer globally, projecting 3.2 million new cases and 1.6 million deaths by 2040. Accurate lymph node metastasis (LNM) detection is critical for determining optimal surgical approaches, including preoperative neoadjuvant chemoradiotherapy and surgery, which significantly influence CRC prognosis. However, conventional imaging lacks adequate precision, prompting exploration into radiomics, which addresses this shortfall by converting medical images into reproducible, quantitative data. Methods: Following PRISMA, Supplemental Digital Content 1 (http://links.lww.com/JS9/C77) and Supplemental Digital Content 2 (http://links.lww.com/JS9/C78), and AMSTAR-2 guidelines, Supplemental Digital Content 3 (http://links.lww.com/JS9/C79), we systematically searched PubMed, Web of Science, Embase, Cochrane Library, and Google Scholar databases until 11 January 2024, to evaluate radiomics models’ diagnostic precision in predicting preoperative LNM in CRC patients. The quality and bias risk of the included studies were assessed using the Radiomics Quality Score (RQS) and the modified Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Subsequently, statistical analyses were conducted. Results: Thirty-six studies encompassing 8039 patients were included, with a significant concentration in 2022–2023 (20/36). Radiomics models predicting LNM demonstrated a pooled area under the curve (AUC) of 0.814 (95% CI: 0.78–0.85), featuring sensitivity and specificity of 0.77 (95% CI: 0.69, 0.84) and 0.73 (95% CI: 0.67, 0.78), respectively. Subgroup analyses revealed similar AUCs for CT and MRI-based models, and rectal cancer models outperformed colon and colorectal cancers. Additionally, studies utilizing cross-validation, 2D segmentation, internal validation, manual segmentation, prospective design, and single-center populations tended to have higher AUCs. However, these differences were not statistically significant. Radiologists collectively achieved a pooled AUC of 0.659 (95% CI: 0.627, 0.691), significantly differing from the performance of radiomics models (P<0.001). Conclusion: Artificial intelligence-based radiomics shows promise in preoperative lymph node staging for CRC, exhibiting significant predictive performance. These findings support the integration of radiomics into clinical practice to enhance preoperative strategies in CRC management.

Background: Glioblastoma multiforme (GBM) poses a significant health challenge as the most common primary malignancy of the adult central nervous system. Gender‐ and age‐related differences in GBM influence prognosis and treatment complexities. This multicenter retrospective study explores gender and age disparities in GBM patients, investigating their impact on occurrence and survival outcomes.Methods: This multicenter retrospective study involved GBM patients treated in Guilan Province, Iran. Patients' data, including age, gender, tumor location, and histopathological diagnosis date, was collected from medical records.Results: In a cohort of 164 GBM patients, the average age was 54.34 ± 14.16 years, with a higher prevalence among men (59.8%) and patients aged ≤ 60 years (64.6%). The tumor sites exhibited overlapping features in 68% of cases, with the frontal and temporal lobes being the most common specific locations. The mean survival was 12.88 ± 14.14 months, one‐year survival of 45%, with women showing significantly higher one‐year survival (60% vs. 40%) and longer mean survival (16.14 ± 17.35 vs. 10.75 ± 11.15 months). Furthermore, Patients ≤ 60 years had significantly higher one‐year survival (75% vs. 35%). In subgroup analysis, women had significantly higher survival rates in patients ≤ 60 years. However, among patients over 60, women exhibited a more pronounced decline in survival rates, with no statistically significant difference between men and women in this age group.Conclusion: This study highlights that both age and gender significantly affect GBM survival outcomes. Younger patients, particularly women, exhibited better survival rates, while older patients, especially women, showed poorer outcomes. These findings suggest the need to stratify treatment approaches by both age and gender to optimize care and improve survival in GBM patients. Further research is recommended to explore these associations.

INTRODUCTION: First-degree relatives (FDRs) of patients with celiac disease (CeD) are at high risk for developing CeD. We conducted a systematic review and meta-analysis to estimate CeD prevalence and clinical manifestations by analyzing studies that used the anti-tissue transglutaminase antibody test for screening. METHODS: In this systematic review with meta-analysis, studies published in PubMed, Web of Science, Embase, and Scopus were searched up to January 11, 2024, using keywords related to CeD and FDRs. Random-effects models were used, with heterogeneity assessed using the Cochran Q test and the I ² statistic performed in STATA 18. RESULTS: Of 8,764 studies screened, 34 studies involving 10,016 FDRs of patients with CeD were included. The pooled estimates for seroprevalence and the biopsy-confirmed CeD prevalence in FDRs were 11% (95% CI: 9%–13%) and 7% (95% CI: 6%–9%), respectively. Daughters and sisters had the highest prevalence rates at 23% and 14%, compared with sons and brothers at 6% and 9%, respectively. Regional analysis revealed the highest seroprevalence estimates in Hungary (24%) and Cuba (19%), while the highest prevalence of biopsy-confirmed CeD was reported in Serbia (16%) and the United States (15%). Abdominal pain (42%), bloating (39%), and flatulence (38%) were the most common gastrointestinal symptoms, while 34% of FDRs with CeD were asymptomatic. In addition, pallor was the most frequent nongastrointestinal symptom (54%). DISCUSSION: Approximately 1 in 14 FDRs of patients with CeD is estimated to have CeD, with 1 in 4 daughters, 1 in 7 sisters, 1 in 11 brothers, 1 in 16 sons, and 1 in 20 fathers and mothers could be affected. Routine screening for FDRs could support early detection and management of CeD.