Publications by authors named "P Moeskops"
Background: Low muscle mass and skeletal muscle mass (SMM) loss are associated with adverse patient outcomes, but the time-consuming nature of manual SMM quantification prohibits implementation of this metric in clinical practice. Therefore, we assessed the feasibility of automated SMM quantification compared to manual quantification. We evaluated both diagnostic accuracy for low muscle mass and associations of SMM (change) with survival in colorectal cancer (CRC) patients.
View Article and Find Full Text PDFArticle Synopsis
- Accurate diagnosis of sarcopenia involves assessing muscle quality, specifically how much fat is infiltrated in muscle tissue, which is crucial for predicting mortality in TAVI patients.
- The study analyzed CT scans from 1199 patients who underwent TAVI between 2010 and 2020, employing deep learning algorithms to measure skeletal muscle density (SMD) and intermuscular adipose tissue (IMAT).
- Results indicated that low muscle quality, identified through both low SMD and high IMAT, significantly correlates with increased mortality risk, suggesting that muscle quality metrics are valuable predictors of health outcomes post-TAVI.
Article Synopsis
- Malnutrition is a common issue in kidney failure patients, and traditional body weight measurements are not sufficient for assessing muscle mass, prompting the use of bioimpedance spectroscopy (BIS) to estimate fat-free mass (FFM).
- The study analyzed CT scans of 60 patients to compare BIS-derived FFM and lean tissue mass (LTM) against CT-derived FFM, discovering strong correlation but significant individual variation in FFM measurements.
- Results indicated that while FFM was a better predictor for determining protein requirements in patients, substantial discrepancies between FFM measurements could have clinically relevant impacts on nutritional management.
Background: Body composition during childhood may predispose to negative health outcomes later in life. Automatic segmentation may assist in quantifying pediatric body composition in children.
Objective: To evaluate automatic segmentation for body composition on pediatric computed tomography (CT) scans and to provide normative data on muscle and fat areas throughout childhood using automatic segmentation.
Aims: Carboplatin is generally dosed based on a modified Calvert formula, in which the Cockcroft-Gault-based creatinine clearance (CRCL) is used as proxy for the glomerular filtration rate (GFR). The Cockcroft-Gault formula (CG) overpredicts CRCL in patients with an aberrant body composition. The CT-enhanced estimate of RenAl FuncTion (CRAFT) was developed to compensate for this overprediction.
View Article and Find Full Text PDF