Publications by authors named "K van Train"
Circulating tumor DNA (ctDNA) is extracellular DNA released by tumors and has been proposed as a marker of residual disease as well as a predictor of disease recurrence in the adjuvant setting. However, data are lacking on the utility of this biomarker in the neoadjuvant setting. We performed a retrospective study of stage III and IV colorectal cancer patients receiving neoadjuvant treatment at a single institution.
View Article and Find Full Text PDF18F-flurpiridaz positron emission tomography segmental and territory myocardial blood flow metrics: incremental value beyond perfusion for coronary artery disease categorization.
Eur Heart J Cardiovasc Imaging
November 2022
Article Synopsis
- The study evaluated the effectiveness of segmental 18F-flurpiridaz myocardial blood flow (MBF) measurement by PET compared to traditional methods, focusing on its diagnostic performance in identifying coronary artery disease (CAD).
- In a trial with 245 patients, the segmental flow metrics showed better diagnostic performance than territory metrics, with significant improvements seen in the assessment of CAD with 50% stenosis using SMBF measurements.
- The findings suggest that using segmental MBF metrics is a feasible approach that enhances the detection of CAD, particularly when using SMBF alongside relative perfusion quantitation (PQ) for moderate cases, though it doesn't significantly improve performance for more severe cases (≥70
Article Synopsis
- The study developed an automated method for interpreting myocardial perfusion imaging (MPI) using F-flurpiridaz in patients, aiming for standardized and objective results.
- The analysis involved comparing the accuracy of automated quantitation against traditional visual interpretations using data from multiple clinical trials.
- Results indicated that the automated approach produced similar accuracy in detecting coronary artery disease (CAD) while showing improved consistency among reviewers compared to visual methods.
This Comment identifies and discusses several methodological errors in the application of choice modeling that appear in an article and Corrigendum by Alvarez et al. published in this journal. The purpose is to clarify the correct methods as an aid to future researchers.
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