University of Groningen
Pulmonary Nodules: 2D versus 3D evaluation in lung cancer screening
Han, Daiwei
DOI:
10.33612/diss.172563513
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Publication date: 2021
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Han, D. (2021). Pulmonary Nodules: 2D versus 3D evaluation in lung cancer screening. University of Groningen. https://doi.org/10.33612/diss.172563513
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Pulmonary nodules:
2D versus 3D evaluation in lung cancer screening
559233-l-bw-Han 559233-l-bw-Han 559233-l-bw-Han 559233-l-bw-Han Processed on: 20-5-2021 Processed on: 20-5-2021 Processed on: 20-5-2021
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ISBN: 978-94-6419-219-3
The publication of this thesis was financially supported by University of Groningen, University Medical Center Groningen
Copyright © 2021 by Dawei Han.
All rights reserved. Any unauthorised reprint or use of this material is prohibited. No part of this thesis may be reproduced, stored or transmitted in any form or by any means, without written permission of the copyright owner.
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Pulmonary nodules: 2D versus 3D
evaluation in lung cancer screening
PhD thesis
to obtain the degree of PhD at the University of Groningen
on the authority of the Rector Magnificus Prof. C. Wijmenga
and in accordance with the decision by the College of Deans. This thesis will be defended in public on
Tuesday 29 June 2021 at 9.00 hours
by
Daiwei Han
born on 11 July 1991 in Wuhan, China
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CONTENTS
Chapter 1 General introduction
PART I 2D versus 3D assessment of pulmonary nodules in lung
cancer screening
Chapter 2 Update on European lung cancer screening trials and comparison of screening recommendations.
Chapter 3 Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening.
Chapter 4 Influence of nodule margin on volume- and diameter-based reader variability in CT lung cancer screening.
Chapter 5 Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
PART II Classification of perifissural nodules
Chapter 6 New fissure-attached nodules in lung cancer screening: a brief report from the NELSON study
Chapter 7 Response letter on the editorial “New fissure-attached nodules in lung cancer screening: more practical implications from the NELSON study?”
Chapter 8 Evaluation of a Novel Deep Learning-Based Classifier for Perifissural Nodules
PART III General discussion and summary
Chapter 9 General discussion Chapter 10 Summary
Addendum Nederlandse samenvatting (Summary in Dutch) List of publications
Acknowledgments About the author
9 17 19 37 57 77 95 97 111 117 135 137 151 157 162 164 166
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