Dose optimization of 2D X-ray image acquisition protocols in image-guided radiotherapy

Marios Velonis; Emmanouil Papanastasiou; Konstantinos Hatziioannou; Anastasios Siountas; Efstathios Kamperis; Periklis Papavasileiou; Michael I Koukourakis; Ioannis Seimenis

doi:10.1016/j.ejmp.2023.103161

Dose optimization of 2D X-ray image acquisition protocols in image-guided radiotherapy

Phys Med. 2023 Nov:115:103161. doi: 10.1016/j.ejmp.2023.103161. Epub 2023 Oct 15.

Authors

Marios Velonis¹, Emmanouil Papanastasiou², Konstantinos Hatziioannou³, Anastasios Siountas², Efstathios Kamperis⁴, Periklis Papavasileiou⁵, Michael I Koukourakis⁶, Ioannis Seimenis⁷

Affiliations

¹ Department of Medicine, Faculty of Health Sciences, Democritus University of Thrace, Greece; Department of Medical Physics, Papageorgiou General Hospital, Thessaloniki, Greece. Electronic address: [email protected].
² Medical Physics & Digital Innovation Laboratory, Medical School, Aristotle University of Thessaloniki, Greece.
³ Department of Medical Physics, Papageorgiou General Hospital, Thessaloniki, Greece.
⁴ Department of Radiotherapy, Papageorgiou General Hospital, Thessaloniki, Greece.
⁵ Department of Biomedical Sciences, School of Health Sciences, University of West Attica, Greece.
⁶ Department of Medicine, Faculty of Health Sciences, Democritus University of Thrace, Greece.
⁷ Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, Greece.

PMID: 37847953
DOI: 10.1016/j.ejmp.2023.103161

Abstract

Purpose: In contemporary radiotherapy, patient positioning accuracy relies on kV imaging. This study aims at optimizing planar kV image acquisition protocols regarding patient dose without degrading image quality.

Materials and methods: An image quality test-object was placed in-between PMMA plates, suitably arranged to model head or pelvis. Constructed phantoms were imaged using default protocols, the resultant image quality was assessed and the corresponding radiation dose was measured. The process was repeated using numerous kV/mAs combinations to identify those acquisition settings providing images at lower dose than the default protocols but without deterioration in image quality. Default and dose-optimized protocols were then tested on an anthropomorphic phantom and on 51 patients during two successive treatment sessions. Image quality was independently assessed by two readers. Organ and effective doses were estimated using a Monte Carlo simulation software.

Results: Low-contrast detectability exhibited a stronger dependence on kV/mAs settings, compared to high-contrast resolution. Dose-optimized protocols resulted in significant dose reductions (anteroposterior-head 48.0 %, lateral-head 30.0 %, anteroposterior-pelvis 28.4 %, lateral-pelvis 27.0 %) compared to the default ones, without compromising image quality. Optimized protocols decreased effective doses by 54 % and 29.6 % in head and pelvic acquisitions, respectively. Regarding image quality, anthropomorphic and patient images acquired using the dose-optimized protocols were subjectively evaluated equivalent to those obtained with the corresponding default settings, indicating that the proposed protocols may be routinely used.

Conclusions: Given the potentially large number of radiotherapy fractions and the pertinent image acquisitions, dose-optimized protocols could significantly reduce patient dose associated with planar imaging without compromising positioning accuracy.

Keywords: Effective dose reduction; Image guided radiation therapy; Image quality; Planar kV imaging; Radiation dose optimization.

MeSH terms

Computer Simulation
Humans
Phantoms, Imaging
Radiation Dosage
Radiotherapy, Image-Guided* / methods
Software
X-Rays