Lisanne V van Dijk
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Explore the profile of Lisanne V van Dijk including associated specialties, affiliations and a list of published articles.
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64
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2480
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Recent Articles
1.
Ma B, De Biase A, Guo J, van Dijk L, Langendijk J, Both S, et al.
Phys Imaging Radiat Oncol
. 2025 Mar;
33:100733.
PMID: 40046573
Background And Purpose: Deep learning (DL) models can extract prognostic image features from pre-treatment PET/CT scans. The study objective was to explore the potential benefits of incorporating pathologic lymph node...
2.
de Vette S, van Rijn-Dekker M, Van den Bosch L, Keijzer K, Neh H, Chu H, et al.
Oral Oncol
. 2025 Mar;
163:107224.
PMID: 40023984
Background/purpose: Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity...
3.
Stoffers R, Niezink A, Chouvalova O, Ubbels J, Woltman-van Iersel M, Hiltermann T, et al.
Acta Oncol
. 2025 Feb;
64:267-275.
PMID: 39945611
Background And Purpose: Adding adjuvant durvalumab to chemoradiotherapy (CRT) improves overall survival (OS) rates in locally advanced Non-Small-Cell Lung Cancer (NSCLC). However, recent data suggests that this new modality increases...
4.
Moreno A, Watson E, Humbert-Vidan L, Peterson D, van Dijk L, Urbano T, et al.
Int J Radiat Oncol Biol Phys
. 2025 Jan;
PMID: 39826846
Purpose: Osteoradionecrosis of the jaw (ORNJ) is a severe iatrogenic disease characterized by bone death after radiation therapy (RT) to the head and neck. With over 9 published definitions and...
5.
Nosrat F, Dede C, McCullum L, Garcia R, Mohamed A, Scott J, et al.
medRxiv
. 2024 Oct;
PMID: 39417124
Background And Purpose: Prior work on adaptive organ-at-risk (OAR)-sparing radiation therapy has typically reported outcomes based on fixed-number or fixed-interval re-planning, which represent one-size-fits-all approaches and do not account for...
6.
Wentzel A, Canahuate G, van Dijk L, Mohamed A, Fuller C, Marai G
IEEE Vis Conf
. 2024 Sep;
2020():281-285.
PMID: 39262817
Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques to promote new data-driven insights. In light of...
7.
Chu H, de Vette S, Neh H, Sijtsema N, Steenbakkers R, Moreno A, et al.
Int J Radiat Oncol Biol Phys
. 2024 Aug;
121(1):269-280.
PMID: 39147208
Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean...
8.
Ma B, Guo J, De Biase A, van Dijk L, van Ooijen P, Langendijk J, et al.
Radiother Oncol
. 2024 Jun;
197:110368.
PMID: 38834153
Background And Purpose: To optimize our previously proposed TransRP, a model integrating CNN (convolutional neural network) and ViT (Vision Transformer) designed for recurrence-free survival prediction in oropharyngeal cancer and to...
9.
De Biase A, Ziegfeld L, Sijtsema N, Steenbakkers R, Wijsman R, van Dijk L, et al.
Comput Biol Med
. 2024 May;
177:108675.
PMID: 38820779
Background: The different tumor appearance of head and neck cancer across imaging modalities, scanners, and acquisition parameters accounts for the highly subjective nature of the manual tumor segmentation task. The...
10.
Salama V, Youssef S, Xu T, Wahid K, Chen J, Rigert J, et al.
Oral Oncol Rep
. 2024 Apr;
7.
PMID: 38638130
Objectives: Pain during Radiation Therapy (RT) for oral cavity/oropharyngeal cancer (OC/OPC) is a clinical challenge due to its multifactorial etiology and variable management. The objective of this study was to...