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Radiotherapy: Jan-Jakob Sonke

Jan-JakobSonke.jpg

Jan-Jakob SonkeGroup leader, Ph. D.

About Jan Jakob Sonke

Adaptive Radiotherapy

In our group we aim to develop and clinically implement adaptive radiotherapy techniques to individualize treatment.  Traditionally, medical images of a patient scheduled for radiotherapy are acquired only once during the treatment preparation phase, one or more weeks before the start of treatment delivery. These images are subsequently used for target definition and treatment plan optimization but only represent a snapshot of the patient's anatomy. Over the course of radiation therapy patients undergo continuous changes in posture, anatomy and biology due to both physiology and treatment response. Consequently, the actually delivered dose typically deviates from the optimal dose. Therefore we focus on strategies to monitor these changes through an image feedback loop and adapt the treatment to optimize the treatment outcome in the presence of anatomical and functional changes.

In the past, we have co-developed cone-beam CT (CBCT) scanners integrated with the treatment machine to capture the patient's anatomy just prior to irradiation. Currently, we are investigating both hardware and software solutions to improve the CBCT image quality to more accurately capture anatomical changes. To quantify such changes, (deformable) image registration algorithms are optimized facilitating both couch corrections to align the target to the planned position as well as contour propagation and dose accumulation to adapt the treatment plan. Similarly, repeat functional imaging is utilized to monitor and model radiation response of target and organs at risk. This adaptive radiation therapy framework is also prototyped pre-clinically using a dedicated small animal irradiator. Recently, we started to develop adaptive radiotherapy techniques using an MRI integrated treatment machine providing superior soft tissue and real time imaging."

 

Co-workers

013690-bruin _bew [1]

Natascha Bruin

Technologist

Experience

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Martin Fast

Martin Fast

Postdoctoral fellow

Experience

Dr Martin Fast is a postdoctoral fellow specialising in motion mitigation strategies and adaptive radiotherapy. Dr Fast joined the Netherlands Cancer Institute / Antoni van Leeuwenhoek hospital in 2017, continuing his work on the novel MR-linac radiotherapy platform. In his previous role at The Institute of Cancer Research / Royal Marsden hospital in London (UK), Dr Fast's responsibilities included dynamic multi-leaf collimator tracking and online dose reconstruction. During his PhD studies at the German Cancer Research Center in Heidelberg (GER), Dr Fast developed novel methods for x-ray based estimation of intra-fractional motion.

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La Fontaine, Matthew

Matthew la Fontaine

Postdoctoral fellow

Experience

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Geng _d %20107%20x %20138

Di Geng

software developer

Experience

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Gouw, Zeno (2)

Zeno Gouw

Ph.D. Student

Experience

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Janssen, Natasja

Natasja Janssen

Ph.D. Student

Experience

I studied Technical Medicine at the University of Twente (Enschede) and received my Master's degree in 2013. I performed my masters' internship at the Biomedical Physics & Engineering department at the Academic Medical Center in Amsterdam and worked on an automatic detection and scoring system for patients with a stroke, based on CTA images.  In 2013 I moved to the NKI-AvL and started my PhD project which is focused on optimizing breast conserving treatment. This entails e.g. improved pre-operative tumor visualization using MRI, as well as improved navigation during breast conserving surgery using a novel navigation system.  I enjoy the multi-disciplinary aspect of my research very much, since we work closely with radiologists, surgeons, physicists, technical physicians and of course patients which are enrolled in the clinical trials important for our research. 

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Juandela Cruz _C%20107%20x %20138[1]

Celia Juan de la Cruz

Ph.D. Student

Experience

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Serveimage [3]

Takahiro Kanehira

Postdoctoral Fellow

Experience

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Serveimage [3]

Artem Khmelinskii

Postdoctoral fellow

Experience

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Olaciregui -ruiz _i %20107%20x %20138[1]

Igor Olaciregui-Ruiz

Postdoctoral fellow

Experience

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van de Lindt, Tessa

Tessa van de Lindt

Ph.D. Student

Experience

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Kleopatra Pirpinia

Ph.D. Student

Experience

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Protik, Angjelina

Angjelina Protik

Ph.D. Student

Experience

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Schroder _l %20107%20x %20138[1]

Lukas Schroder

Ph.D. Student

Experience

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079404-Stam [1]

Barbara Stam

Postdoctoral fellow

Experience

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Stankovic _u %20107%20x %20138[1]

Uros Stankovic

Ph.D. Student

Experience

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Yenny Szeto

Ph.D. Student

Experience

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Roel Rozendaal

Ph.D. Student

Experience

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Maddalena Rossi

Technologist

Experience

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Schoot _vd _S%20107%20x %20138[1]

Stijn van de Schoot

Postdoctoral fellow

Experience

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Water _s %20107%20x %20138[1]

Steven van de Water

Postdoctoral fellow

Experience

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Wollenberg _w %20107%20x %20138[1]

Wouter van den Wollenberg

Postdoctoral fellow

Experience

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Kranen _Simon _v _20170926_02

Simon van Kranen

Postdoctoral fellow

Experience

Radiotherapy is an essential part of the treatment of patients with head and neck cancer. During the radiation period of approximately 6 to 7 weeks the position of the tumor in the body can change, for example due to weight loss, tumor shrinkage or a slightly varying position of the patient at the time of radiation. This causes uncertainty about the exact location of the tumor, suspicious lymph nodes and healthy organs. With the help of safety margins doctors can radiate the tumor very well, but at the same time surrounding healthy tissue gets a high dose too. PhD student Simon van Kranen investigated the extent of the uncertainties and how to minimize them. He developed a technique for optimally using images of the cone beam CT for the positioning of the patient prior to treatment. Doctors of the Netherlands Cancer Institute are now using this technique in the clinic. Van Kranen also discovered that in half of the patients the radiation area can be safely reduced if their tumor shrinks during the treatment period. Moreover, he designed a method based on cone beam CT that can adjust the radiation plan and make it more accurate. This is much easier and cheaper that making a new CT scan, which is current practice. This extra accuracy can be exploited to increase the radiation dose or reduce side effects. 

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Key publications View All Publications

  • Adaptive radiotherapy with an average anatomy model: Evaluation and quantification of residual deformations in head and neck cancer patients

    Radiother Oncol. 2013 Dec;109(3):463-8. doi: 10.1016/j.radonc.2013.08.007. Epub 2013 Sep 7. PMID: 24021348

    van Kranen S, Mencarelli A, van Beek S, Rasch C, van Herk M, Sonke J-J.

    Link to Pubmed
  • Respiratory correlated cone beam CT

    Med Phys. 2005 Apr;32(4):1176-86. PubMed PMID: 15895601.

    Sonke J-J, Zijp L, Remeijer P, van Herk M.

    Read more
 
 

Recent publications View All Publications

  • Target delineation variability and corresponding margins of peripheral early stage NSCLC treated with stereotactic body radiotherapy

    Radiother Oncol. 2015 Mar 11. pii: S0167-8140(15)00103-6

    Peulen H, Belderbos J, Guckenberger M, Hope A, Grills I, van Herk M, Sonke J-J.

    Link to Pubmed
  • Late follow-up of the randomized radiation and concomitant high-dose intra-arterial or intravenous cisplatin (RADPLAT) trial for advanced head and neck cancer, Head Neck

    2015 Feb 27. doi: 10.1002/hed.24023. [Epub ahead of print]

    Heukelom J, Lopez-Yurda M, Balm AJ, Wijers OB, Buter J, Gregor T, Wiggenraad R, de Boer JP, Tan IB, Verheij M, Sonke J-J, Rasch CR. ...

    Link to Pubmed
 

Contact

  • Office manager

    Diedie van Dinten

  • E-mail

    d.v.dinten@nki.nl

  • Telephone Number

    +31 (0) 20 512 1731

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