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FDA approvals in 2024: new options for patients across cancer types and therapeutic classes
Correction for Maher et al., Intracranial substrates of meditation-induced neuromodulation in the amygdala and hippocampus
Dimetridazole potentiates cefotaxime against multidrug-resistant E. coli via membrane disruption and fatty acid composition
Interconnected four split rectangular ring resonator flexible metamaterial for microwave sensing application
GPS Galileo BDS3 LEO uncalibrated phase delays estimation and tight combination precise point positioning with ambiguity resolution
Predictive model on employee stock ownership impacting corporate performance
Life cycle cost of communication towers: identification and hierarchical classification of influencing factors
Effect of enhanced early life nutrition on the M. longissimus thoracis et lumborum transcriptome of crossbred beef heifer calves
Lactate-related lncRNAs assessment model predicts the prognosis of pancreatic ductal adenocarcinoma
Depression detection methods based on multimodal fusion of voice and text
Systematic implementation of rapidplan for prostate cancer: toward a unified knowledge-based planning model
Abstract This study presents a comprehensive methodology for implementing a unified knowledge-based planning model for RapidPlan™ (RP) to manage all 11 prostate cancer prescriptions used at our institution. Several RP configurations were evaluated to address different clinical scenarios. The initial models RP_46 and RP_30 involved the prostate, seminal vesicles, and lymph nodes treated with 46 Gy in 23 fractions and the prostate alone treated with 30 Gy in 15 fractions, respectively. These models were progressively expanded to incorporate all sequential boost treatment plans (RP_46 + 30), including those targeting the prostate bed (RP_Seq). Simultaneous integrated boost prescriptions were used to train the RP_SIB model, which was subsequently combined with the RP_Seq model to form the unified RP_UNI model. Each configuration was compared with the manual method using a cohort of 10–25 patients. All the models produced treatment plans that met the clinical requirements. An overall analysis revealed that the RP_UNI model significantly reduced the 45 Gy and 15 Gy volumes (cm3) in the peritoneal cavity by approximately 18%. The RP_UNI model was chosen for clinical implementation owing to its broader applicability compared with the other models, offering a 66% reduction in planning time with respect to the manual method. The unified model, derived from simpler RP configurations, successfully integrated all 11 prostate cancer prescriptions used at our institution. This model performed efficiently regardless of the complexity of the target volumes or whether the irradiation technique was a sequential or simultaneous integrated boost.
Effects of bound-wave asymmetry on North Sea rogue waves
A comparative study on the match performance of the Chinese Super League before and after COVID-19
A novel imputation approach for power load time series data based on tsDatawig
Prevalence, impact on quality of life, and predictive factors of coexistence of overactive bladder and underactive bladder in men
Validation of guiding needle placement using registered ultrasound imaging for gynecologic brachytherapy in a simulated pelvic Phantom
Temporal changes in per and polyfluoroalkyl substances and their associations with type 2 diabetes
Abstract We assessed temporal changes of PFAS and associations with T2DM over a period of 30 years in a nested case–control study with repeated measurements. Logistic regression was used to assess associations between 11 PFAS and T2DM at five time-points in 116 cases and 139 controls (3 pre- and 2 post-diagnostic time-points in cases). Mixed linear models were applied to assess if changes in PFAS were related to T2DM status. In the pre-diagnostic time-point T3 (2001), future cases had higher concentrations of PFHpA, PFNA, PFHxS and PFHpS compared to controls. In the post-diagnostic time point T5 (2015/16), PFNA and PFOS were higher in prevalent cases. PFHxS and PFHpS were positively associated with future T2DM at the pre-diagnostic time-point T3, whereas PFTrDA were inversely associated with future T2DM at T1 (1986/87) and prevalent T2DM at T4 (2007/8). Temporal changes in PFAS across the study period showed that cases experienced a greater increase in pre-diagnostic concentrations of PFHpA, PFTrDA, PFHxS and PFOSA, as well as a larger post-diagnostic decrease in PFOSA, compared to controls. This study is the first to show that temporal changes in PFAS are associated with T2DM status for certain PFAS, and associations between PFAS and T2DM vary according to sample year.
Preoperative TNF-α predicts uneventful postoperative outcomes in patients undergoing colorectal cancer surgery
Abstract The development of novel biomarkers to predict postoperative complications (POCs) after colorectal cancer (CRC) surgery is essential, both for improving treatment outcomes and for facilitating the widespread use of same-day discharge following colectomy. This longitudinal observational study, a sub-study of a previous RCT, investigated the prognostic potential of a panel of novel biomarkers, including inflammatory cytokines (TNF-α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-17 A, INF-γ, IP-10, MCP-1, TGF-β1), alongside conventional biomarkers such as CRP and WBC levels, measured preoperatively and on postoperative day 6, for predicting POCs following CRC resection. Among 40 recruited patients, 38 were included in the final analysis. Patients who did not experience POCs had a significantly lower preoperative level of TNF-α (2.28 pg/mL vs. 68.77 pg/mL, p = 0.022). ROC curve analysis showed that TNF-α has significant (p = 0.012) discriminative capacity to distinguish between patients with POCs and those with an uneventful postoperative course, with an AUC of 0.722 (95% CI: 0.555, 0.889). Multivariable analysis suggested that a low preoperative TNF-α level (< 55.35 pg/mL) may be an independent predictor of an uneventful postoperative course (Odds Ratio = 0.137, 95% CI: 0.023, 0.836). This study showed that preoperative levels of TNF-α demonstrates a moderate discriminative capacity to distinguish between patients with POCs and those with an uneventful postoperative course in patients undergoing surgery for left-side CRC, although the findings are limited by the small sample size and should be validated in larger cohorts. Clinical Trial Registration: NCT04013841, date of registration 2019-07-10.