Investigator

Jan Unkelbach

Associate Professor for Medical Physics · University of Zurich, University Hospital Zürich, Department of Radiation Oncology

About

JUJan Unkelbach
Papers(1)
Fraction-variant VMAT…
Collaborators(1)
Nathan Torelli
Institutions(1)
University Of Zurich

Papers

Fraction-variant VMAT planning for patients with complex gynecological and head-and-neck cancer

Abstract Objective . Increasing the number of arcs in volumetric modulated arc therapy (VMAT) allows for better intensity modulation and may improve plan quality. However, this leads to longer delivery times, which may cause patient discomfort and increase intra-fractional motion. In this study, it was investigated whether the delivery of different VMAT plans in different fractions may improve the dosimetric quality and delivery efficiency for the treatment of patients with complex tumor geometries. Approach . A direct aperture optimization algorithm was developed which allows for the simultaneous optimization of different VMAT plans to be delivered in different fractions, based on their cumulative physical dose. Each VMAT plan is constrained to deliver a uniform dose within the target volume, such that the entire treatment does not alter the fractionation scheme and is robust against inter-fractional setup errors. This approach was evaluated in-silico for five patients with gynecological and five patients with head-and-neck cancer. Main results . For all patients, fraction-variant treatments achieved significantly better target coverage and reduced the dose to critical organs-at-risk compared to fraction-invariant treatments that deliver the same plan in every fraction, where the dosimetric benefit was shown to increase with the number of different plans to be delivered. In addition, 1-arc and 2-arc fraction-variant treatments could approximate the dosimetric quality of 3-arc fraction-invariant treatments, while reducing the delivery time. Significance. Fraction-variant VMAT treatments may achieve excellent dosimetric quality for patients with complex tumor geometries, while keeping the delivery time per fraction viable.

112Works
1Papers
1Collaborators

Positions

2024–

Associate Professor for Medical Physics

University of Zurich · University Hospital Zürich, Department of Radiation Oncology

2016–

Assistant Professor of Medical Physics

University of Zurich · University Hospital Zürich, Department of Radiation Oncology

2010–

Assistant Professor of Radiation Oncology

Harvard University · Massachusetts General Hospital, Department of Radiation Oncology

2008–

PostDoc

Dalle Molle Institute for Artificial Intelligence Research

2006–

PostDoc

Massachusetts General Hospital · Radiation Oncology

2002–

PhD student

German Cancer Research Center · Medical Physics in Radiation Oncology

Education

2006

PhD (Dr. rer. nat)

German Cancer Research Center · Medical Physics in Radiation Oncology

2002

Master (Diplom)

Technical University of Berlin · Physics

2000

Bachelor

University of Manchester · Physics