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For quick readers:
A concise summary of the three key questions and answers from this article can be found below.
Jump directly to the Q&A section. 

Expert Article: Patient-Specific QA: How Measurement-Based and Software-Based Approaches Complement Each Other

Patient-specific quality assurance (PSQA) must ensure the highest level of accuracy while operating within limited resources. For many years, PSQA relied exclusively on measurement-based methods, and the detectors and phantoms developed for this purpose have played a decisive role in shaping dosimetric quality assurance in radiation therapy. Software-based approaches for independent secondary dose calculation provide additional options. This article outlines how PSQA has evolved, which methods are available today, and how their targeted use can be combined into a robust and efficient quality assurance system.

PSQA: Measurement-Based or Software-Based?

The purpose of PSQA is to detect errors and provide insight into their causes. Potential errors in radiation therapy may arise in four main areas: in addition to planning errors, transfer errors, machine-related errors, and, not least, patient-specific errors can occur. The latter can only be reliably detected during patient treatment, for example through EPID in vivo dosimetry.

According to established guidelines and recommendations (DIN 6875-3 or AAPM TG-218/TG-219), pre-treatment dose verification can be performed either through measurements (e.g., using a phantom or EPID) or through dose recalculations. However, the two approaches differ significantly in terms of accuracy and required effort.

Historically, PSQA was based exclusively on measurement-based methods: initially using film, followed by ionization chambers, and today employing sophisticated detector array systems and phantoms such as OCTAVIUS by PTW. These methods require manual procedures and are therefore time- and resource-intensive. Nevertheless, they remain an important reference standard for dosimetric quality assurance of both patient treatments and linear accelerators.

Digital, software-based solutions for independent secondary dose calculation are becoming increasingly important. At the center of this development is the Monte Carlo algorithm. 

Independent Dose Recalculation with Monte Carlo

Independent secondary dose calculations automatically recalculate a treatment plan and compare the result with the primary dose calculation, without requiring additional machine time or staff effort. Clinically unremarkable plans that pass the secondary calculation generally do not require further review by the medical physics team.

The proportion of plans that pass stringent acceptance criteria depends strongly on the algorithm used. Analytical methods exhibit greater variability, resulting in a higher number of false alarms that must subsequently be reviewed manually. In contrast, Monte Carlo (MC) algorithms provide greater accuracy while requiring no additional effort.

A study published in 2025 by Hoffmann et al. [1] in the Journal of Applied Clinical Medical Physics compared the MC algorithm SciMoCa, as implemented in PTW’s VERIQA RT MonteCarlo 3D, with the analytical algorithm used in Mobius3D. While the latter showed dose differences of up to 6% and gamma pass rates as low as 30%, SciMoCa achieved pass rates exceeding 95% and demonstrated only minor variability, with deviations remaining close to the acceptance threshold. The study concluded that MC-based dose recalculation provides a significant clinical benefit for PSQA and enables substantially more stringent acceptance criteria while reducing verification effort.

EPID Dosimetry: Dose Verification Before and During Patient Treatment

EPID dosimetry can be used in two distinct ways: before treatment (“pre-treatment”) and during treatment (“in vivo”).

For pre-treatment plan verification, EPID dosimetry with VERIQA RT EPID 3D pre-treatment provides a fast and efficient solution without the need for phantom setup.

EPID-based in vivo dosimetry with VERIQA RT EPID 3D captures the dose actually delivered during each fraction, enabling continuous monitoring of the entire treatment delivery chain, including patient-specific factors such as anatomical changes or positioning deviations. Errors arising after plan verification become visible and quantifiable.

Not Every Method Fits Every Plan

The availability of software-based approaches expands the PSQA toolkit but does not completely replace measurement-based methods. Phantom measurements, independent dose recalculations, and EPID dosimetry each have distinct strengths, address different error sources, and vary in the effort required. Their areas of application overlap only partially, and it is precisely this limited overlap that creates their complementary value.

Monte Carlo dose recalculations evaluate the treatment plan in the background without additional effort and provide fast, accurate dose verification before treatment. They primarily detect planning-related errors but can be applied automatically to every plan.

Pre-treatment EPID dosimetry extends this approach by additionally accounting for transfer-related and machine-related errors. EPID-based in vivo dosimetry further identifies deviations that arise only during treatment delivery to the patient.

When a measurement is required, either EPID-based measurements or conventional phantom measurements with OCTAVIUS may be selected, depending on the application. Both approaches have a well-defined role within a comprehensive PSQA program. EPID-based measurements with VERIQA RT EPID pre-treatment do not require phantom setup and are well suited for standard treatment plans and routine applications. In contrast, phantom measurements with OCTAVIUS remain indispensable for very large treatment fields, off-axis or non-coplanar fields, and complex stereotactic treatments with demanding dosimetric requirements.

 

The Art Lies in Choosing the Right Combination

The key challenge in modern PSQA is no longer access to verification methods but their intelligent combination. An effective program defines differentiated verification protocols for different classes of treatment plans according to their respective risk profiles.

Not all treatment plans carry the same level of risk. Highly modulated or hypofractionated treatment plans, moving target volumes, and patients with highly variable anatomy require more intensive verification than less complex plans. Automation and clearly defined acceptance criteria therefore become the foundation of a consistently reliable PSQA program.

A Proven Combination in Clinical Routine: MC Dose Calculation and EPID In Vivo

For the majority of treatment plans used in routine clinical practice, particularly standard plans and applications, one combination has proven especially effective: MC-based dose recalculation together with EPID in vivo dosimetry. Both methods can be integrated smoothly into the clinical workflow, with many processes running automatically in the background.cu

MC enables verification of dose calculation accuracy without additional clinical workload. EPID in vivo dosimetry indicates whether deviations occur later in the treatment delivery chain, both on a fraction-by-fraction basis and throughout the entire course of treatment.

This is particularly relevant for online adaptive radiation therapy (oART). Since a new treatment plan is generated each day and conventional measurement-based dose verification before treatment is no longer feasible, EPID in vivo dosimetry takes on a special role: it confirms that the daily adaptive plan has been delivered correctly.

 

Conclusion

MC-based dose recalculation and EPID in vivo dosimetry (e.g., with VERIQA) form the foundation of an efficient and safety-oriented PSQA program for the majority of treatment plans. The MC approach enables accurate and efficient dose verification prior to treatment while reducing false alarms compared with systems based on other algorithms. EPID-based in vivo dosimetry extends quality assurance to the entire error chain and treatment phase.

When a measurement is beneficial or required, for example in specialized applications, either EPID-based measurement with VERIQA RT EPID 3D pre-treatment or conventional phantom measurement with OCTAVIUS can be used, depending on the application. The goal is not a PSQA program that measures as much as possible, but one that measures what matters, at the right time, using the appropriate method.

 

References:

[1] Hoffmann L, Linaa M-B, Møller DS, Independent secondary dose calculation for patientspecific quality assurance: Quantitative benefit of Monte–Carlo and custom beam modeling, Journal of Applied Clinical Medical Physics 26, e70265 (2025). https://doi.org/10.1002/acm2.70265

Nicole Brand is a Product Manager at PTW Freiburg with a Master’s degree in Physics from the University of Tübingen and accreditation as a medical physicist. She previously worked as a clinical physicist at Schwarzwald-Baar Klinikum Villingen-Schwenningen. At PTW, she is responsible for developing and clinically validating the VERIQA platform.

Julia-Maria Osinga-Blättermann is Product Manager at PTW Freiburg and holds a PhD in Medical Physics from Ruprecht-Karls University Heidelberg (2016). She joined PTW in 2018 and is now responsible for the development and clinical validation of the VERIQA RT EPID 3D software module.

This article was originally published in the Autumn issue of EMP News (September 2026, EFOMP): Download PDF excerpt.

Patient-Specific QA: Key Questions & Answers

A concise summary of the article’s core takeaways in three Q&As — how different PSQA methods complement each other, which error sources they address, and why combining them improves both safety and efficiency.

Because no single PSQA method can detect all potential error sources. Planning, transfer-related, machine-related, and patient-specific errors can occur at different stages of the treatment process. Independent dose recalculation, EPID dosimetry (pre-treatment and in vivo), and phantom-based measurements each address different parts of the treatment chain and therefore provide complementary information.

Monte Carlo–based independent dose recalculation enables fast, accurate pre-treatment verification without additional machine time or staff effort and is particularly effective at identifying planning-related errors. EPID dosimetry extends quality assurance further along the treatment chain. Pre-treatment EPID verification complements Monte Carlo–based verification by additionally identifying transfer-related and machine-related errors. EPID in vivo dosimetry further expands coverage by detecting deviations that occur during patient treatment, including those caused by anatomical changes or positioning variations.

The goal is not to perform as many measurements as possible, but to apply the most appropriate verification method to the relevant clinical risk. For most routine treatment plans, a combination of Monte Carlo-based dose recalculation and EPID in vivo dosimetry provides an efficient and comprehensive PSQA approach. Where additional measurements are required, such as for large, off-axis, non-coplanar, or complex stereotactic fields, phantom-based verification remains an important complementary option.

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