Background: Despite the increasing implementation of selective histopathologic policies for post-cholecystectomy evaluation of gallbladder specimens in low-incidence countries, the fear of missing incidental gallbladder cancer (GBC) persists. This study aimed to develop a diagnostic prediction model for selecting gallbladders that require additional histopathological examination after cholecystectomy.
Methods: A registration-based retrospective cohort study of nine Dutch hospitals was conducted between January 2004 and December 2014. Data were collected using a secure linkage of three patient databases, and potential clinical predictors of gallbladder cancer were selected. The prediction model was validated internally by using bootstrapping. Its discriminative capacity and accuracy were tested by assessing the area under the receiver operating characteristic curve (AUC), Nagelkerke's pseudo-R, and Brier score.
Results: Using a cohort of 22,025 gallbladders, including 75 GBC cases, a prediction model with the following variables was developed: age, sex, urgency, type of surgery, and indication for surgery. After correction for optimism, Nagelkerke's R and Brier score were 0.32 and 88%, respectively, indicating a moderate model fit. The AUC was 90.3% (95% confidence interval, 86.2%-94.4%), indicating good discriminative ability.
Conclusion: We developed a good clinical prediction model for selecting gallbladder specimens for histopathologic examination after cholecystectomy to rule out GBC.
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http://dx.doi.org/10.1016/j.hpb.2022.11.005 | DOI Listing |
Chaos
January 2025
AIMdyn, Inc., Santa Barbara, California 93101, USA.
Koopman operator theory has found significant success in learning models of complex, real-world dynamical systems, enabling prediction and control. The greater interpretability and lower computational costs of these models, compared to traditional machine learning methodologies, make Koopman learning an especially appealing approach. Despite this, little work has been performed on endowing Koopman learning with the ability to leverage its own failures.
View Article and Find Full Text PDFJ Vis
January 2025
Institut de Neurosciences de la Timone, CNRS & Aix-Marseille Université, Marseille, France.
Sensory-motor systems can extract statistical regularities in dynamic uncertain environments, enabling quicker responses and anticipatory behavior for expected events. Anticipatory smooth pursuit eye movements (aSP) have been observed in primates when the temporal and kinematic properties of a forthcoming visual moving target are fully or partially predictable. To investigate the nature of the internal model of target kinematics underlying aSP, we tested the effect of varying the target kinematics and its predictability.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.
Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.
ACS Nano
January 2025
School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
Ferroptosis is a classic type of programmed cell death characterized by iron dependence, which is closely associated with many diseases such as cancer, intestinal ischemic diseases, and nervous system diseases. Transferrin (Tf) is responsible for ferric-ion delivery owing to its natural Fe binding ability and plays a crucial role in ferroptosis. However, Tf is not considered as a classic druggable target for ferroptosis-associated diseases since systemic perturbation of Tf would dramatically disrupt blood iron homeostasis.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.
Objective: Calcific tendinopathy, predominantly affecting rotator cuff tendons, leads to significant pain and tendon degeneration. Although US-guided percutaneous irrigation (US-PICT) is an effective treatment for this condition, prediction of patient' s response and long-term outcomes remains a challenge. This study introduces a novel radiomics-based model to forecast patient outcomes, addressing a gap in the current predictive methodologies.
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