Implementation of MR-linac and proton therapy in two radiotherapy departments in The Netherlands: Recommendations based on lessons learned

Jacobs, Maria; Kerkmeijer, Linda G.W.; Ruysscher, Dirk De; Brunenberg, E.; Boersma, Liesbeth; Verheij, Marcel

doi:10.1016/j.radonc.2021.12.007

Cited by 7 publications

(3 citation statements)

References 47 publications

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“… 17 , 32 The convergence of diagnostic and therapeutic realms in the MR-Linac technology, confirms the essential task of solving the common gap between technical innovations in the field of radiation oncology and current national associated treatment guidelines as well as present reimbursement structures. 33 , 34 , 35 …”

Section: Discussionmentioning

confidence: 99%

Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States

Sharma

Zijp

Grobbee

et al. 2022

Advances in Radiation Oncology

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Section: Discussionmentioning

confidence: 99%

Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States

Sharma

Zijp

Grobbee

et al. 2022

Advances in Radiation Oncology

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“…The SCT process can be done either with a research based direct method for evaluation treatment or standard of care treatment. 26…”

Section: Allogenic Transplantationmentioning

confidence: 99%

Leveraging electronic health records and stem cell transplants: a review

Teja,

Gundimeda,

Kolipakula

et al. 2023

Int J Sci Rep

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Biomedical informatics is a burgeoning multidisciplinary field that seeks to optimize the utilization of biomedical data, information, and knowledge for the purposes of scientific research, inquiry, problem-solving, and decision-making, all with the overarching objective of enhancing human health and well-being. Information, informatics, and its applications are used in organ transplantations, such as stem cell transplantation programs, and in programs that directly change disorders. So, many hospitals can maintain EMRs (Electronic medical records), but few are supporting C programs. So, using informatics, we introduced software and programs to run these SCT applications in a very short period of time without any effect.

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“…The quality of the plans can be improved when more experience is gained, as there is always a learning curve when a new treatment modality is implemented in a clinic (in this case IMPT) [24][25][26]. To account for that learning curve, patients were sorted based on their treatment initiation date and the population was divided into two subgroups.…”

Section: Diagnostic Measures Of the Decision Support Toolmentioning

confidence: 99%

A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton Therapy

Tambaş

Laan

Schaaf

et al. 2022

Cancers

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Selection of head and neck cancer (HNC) patients for proton therapy (PT) using plan comparison (VMAT vs. IMPT) for each patient is labor-intensive. Our aim was to develop a decision support tool to identify patients with high probability to qualify for PT, at a very early stage (immediately after delineation) to avoid delay in treatment initiation. A total of 151 HNC patients were included, of which 106 (70%) patients qualified for PT. Linear regression models for individual OARs were created to predict the Dmean to the OARs for VMAT and IMPT plans. The predictors were OAR volume percentages overlapping with target volumes. Then, actual and predicted plan comparison decisions were compared. Actual and predicted OAR Dmean (VMAT R2 = 0.953, IMPT R2 = 0.975) and NTCP values (VMAT R2 = 0.986, IMPT R2 = 0.992) were highly correlated. The sensitivity, specificity, PPV and NPV of the decision support tool were 64%, 87%, 92% and 51%, respectively. The expected toxicity reduction with IMPT can be predicted using only the delineation data. The probability of qualifying for PT is >90% when the tool indicates a positive outcome for PT. This tool will contribute significantly to a more effective selection of HNC patients for PT at a much earlier stage, reducing treatment delay.

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Implementation of MR-linac and proton therapy in two radiotherapy departments in The Netherlands: Recommendations based on lessons learned

Cited by 7 publications

References 47 publications

Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States

Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States

Leveraging electronic health records and stem cell transplants: a review

A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton Therapy

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