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How to find us prof. dr. G.H. (Truuske) de Bock

Research interests

The research of Geertruida de Bock is about the early detection of cancer and improvement of outcomes after cancer treatment. To evaluate this in a systematic way, she set up an UMCG’s oncology databiobank OncoLifeS with quality of life as a main outcome. To assess and optimize screening strategies, she works on defining which populations are at risk of cancer and negative outcomes. She does not only consider benefits of screening and treatment, but also the negative effects of over-diagnosis, tumor-induction, false-positive results, and side-effects. Systematic literature reviews, analysis of cohorts and modelling are the most important methods she uses.


Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program

A Classification Approach for Cancer Survivors from Those Cancer-Free, Based on Health Behaviors: Analysis of the Lifelines Cohort

A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population

A Dutch Cross-sectional Population Survey to Explore Satisfaction of Women with their Breasts

Assessment of the Benefits and Cost-Effectiveness of Population-Based Breast Cancer Screening in Urban China: A Model-Based Analysis

Association of Deficits Identified by Geriatric Assessment With Deterioration of Health-Related Quality of Life in Patients Treated for Head and Neck Cancer

Cardiovascular Risk Factors and Coronary Calcification in a Middle-aged Dutch Population: The ImaLife Study

Community-based lung cancer screening by low-dose computed tomography in China: First round results and a meta-analysis

Comparison of National Comprehensive Cancer Network and European Position Statement protocols for nodule management in low-dose computed tomography lung cancer screening in a general Chinese population

Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study

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