Publications by authors named "W T van der Graaf"

Objective: To investigate imaging biomarkers of tumour response by describing changes in imaging and pathology findings after neoadjuvant radiotherapy (nRT) and exploring their correlations.

Materials And Methods: Tumour diameter, volume, and tumour-to-muscle signal intensity (SI) ratio were collected before and after radiotherapy in a cohort of 107 patients with intermediate/high-grade STS and were correlated with post-radiotherapy pathology findings (percentage of necrosis, viable cells, and fibrosis) using Spearman Rank test. Pathological complete response (pCR) was defined as no residual viable cells present, whereas the presence of < 10% viable cells was defined as near-complete pathologic response (near-pCR).

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Purpose: Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for data sharing, enlargement, and diversification, by artificially generating real phenomena while obscuring the real patient data. The utility of SD is actively scrutinized in health care research, but the role of sample size for actionability of SD is insufficiently explored.

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Article Synopsis
  • Diagnosing rare cancers is tough and often takes a long time, according to a study that examined the experiences of 1541 patients in The Netherlands from GP visits to final diagnoses.
  • Most patients (76.0%) started with a GP consultation, and while 76.3% were referred to a hospital within three months, 32.1% received incorrect diagnoses that led to unnecessary treatments.
  • The study found significant differences in diagnosis timelines between solid and non-solid tumors, with patients experiencing varying waits; improving research on symptoms and clinical networks could help reduce these delays.
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  • The study aims to assess the global cancer burden in adolescents and young adults (ages 15-39) for the years 2022 and 2050, focusing on incidence, mortality, and case fatality.
  • About 1.3 million new cancer cases and approximately 377,600 cancer-related deaths were reported in this age group in 2022, with higher incidence and mortality rates in females compared to males.
  • The research indicates that while high-income countries have the highest cancer incidence, low-income countries face higher death rates, leading to significantly differing case fatality rates between these regions.
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  • - The study examines how a deep learning reconstruction (DLR) algorithm can improve MRI quality for brain tumor assessment while reducing long scan times.
  • - In a trial with 22 brain tumor patients, the DLR technique maintained important quantitative MRI parameters like Fractional Anisotropy and T1/T2 relaxation times despite faster scans.
  • - The results suggest that using DLR can create better quality imaging maps, potentially enabling more frequent use of these imaging biomarkers in clinical practice.
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