Making the right software choice for clinically used equipment in radiation oncology

Vorwerk, Hilke; Zink, Klemens; Wagner, Daniela Michaela; Engenhart‐Cabillic, Rita

doi:10.1186/1748-717x-9-145

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Clinical practice of modern RT is largely depended on daily application of information systems, [ 25 , 26 ] such as health information system (HIS) and radiotherapy treatment planning systems ]RTPS; e.g., Varian Eclipse TM (CA, USA), [ 27 ] Oncentra (Nucletron, CA, USA), [ 28 ] and Elekta Monaco (Sunnyvale, CA, USA) [ 29 ] ]. However, the 2 types of information systems are varied and mutually exclusive in data sharing.…”

Section: Discussionmentioning

confidence: 99%

Enhancing clinical effectiveness of pre-radiotherapy workflow by using multidisciplinary-cooperating e-control and e-alerts

Lin¹,

Hung

Lee

et al. 2017

Medicine

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Radiotherapy (RT) is useful in managing cancer diseases. In clinical practice, early initiation of RT is crucial for enhancing tumor control. But, delivering precise RT requires a series of pre-RT working processes in a tight staff-cooperation manner. In this regard, using information system to conduct e-control and e-alerts has been suggested to improve practice effectiveness; however, this effect is not well defined in a real-world RT setting.We designed an information system to perform e-control and e-alerts for the whole process of pre-RT workflow to shorten processing time, to improve overall staff satisfaction, and to enhance working confidence.A quality-improving study conducted in a large RT center.Externally validated data were retrospectively analyzed for comparison before (from Sep. 2012 to Dec. 2012, n = 223) and after (from Sep. 2013 to Dec. 2013, n = 240) implementation of pre-RT e-control and e-alerts.Applying the e-control with delay-working e-alerts in pre-RT workflow was the main intervention.Nine workstations were identified in pre-RT workflow. The primary outcome measure was the processing time in each pre-RT workstations before and after implementing the e-control and e-alerts. Secondary measures were staff-working confidence and near-missing cases during the process of pre-RT workflow.After implementing e-control, overall processing time of pre-RT workflow was shortened from 12.2 days to 8.9 days (P < .001). Follow-up data (till Jul. 2016) showed a durable effect of 9.2 days, being still below the predefined threshold of <10 days.Using a multidisciplinary-cooperating information system is useful to conduct e-control and e-alerts in the whole process of pre-RT workflow. Clinical effectiveness, staff satisfaction, and working confidence are able to be enhanced obviously.

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Section: Discussionmentioning

confidence: 99%

Enhancing clinical effectiveness of pre-radiotherapy workflow by using multidisciplinary-cooperating e-control and e-alerts

Lin¹,

Hung

Lee

et al. 2017

Medicine

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“…From a machine learning point of view, a strong fragmentation with redundancies may be present within an RO department or hospital. Heterogeneity of computer systems is ubiquitous and has multiple healthcare domain-specifi c causes [ 11 ]: departmental organization within a hospital, medical devices with infl exible built-in software, either general or niche vendors, selecting the "best" software for each specifi c purpose ignoring the big picture, as well as legacy applications [ 12 , 13 ]. Often, third-party providers supply picture archiving and communication systems (PACS) or systems specifi c for laboratories or, for example, pathology reports.…”

Section: 3mentioning

confidence: 99%

Informatics in Radiation Oncology

Putora

Peters

Bovet

2015

Machine Learning in Radiation Oncology

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Radiation oncology informatics includes informatics from the perspectives of every discipline involved in radiation oncology. As there are many open questions and an abundance of data, machine learning technologies can be valuable. Available data includes handwritten notes on paper, imaging data available in digital formats, radiation treatment plan details, fi nancial data, and multilevel multicenter databases, to name a few. Tools of various complexity for various goals are available. The following chapter aims to portray this domain and present a selection of available tools. IntroductionRadiation oncology (RO) is the discipline dealing with the treatment of cancer with ionizing radiation (radiation therapy) for cure or palliation. Radiation therapy is often applied in combination with other treatment modalities (chemotherapy, surgery, hormonal therapy, etc.). Radiation therapy is typically delivered with linear accelerators (linacs); although other modalities and devices exist, linac-based treatments represent the vast majority of radiotherapy treatments in modern radiation oncology units.

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“…However, treatment planning for SyncRT lags far behind clinical standards and, in particular, requires a treatment planning system (TPS) that is comparable in user intuitiveness, features, and calculation accuracy to TPSʼs currently employed in the clinic for conventional radiotherapy (Vorwerk et al 2014).…”

Section: Introductionmentioning

confidence: 99%

A commercial treatment planning system with a hybrid dose calculation algorithm for synchrotron radiotherapy trials

et al. 2021

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Synchrotron Radiotherapy (SyncRT) is a preclinical radiation treatment which delivers synchrotron x-rays to cancer targets. SyncRT allows for novel treatments such as Microbeam Radiotherapy, which has been shown to have exceptional healthy tissue sparing capabilities while maintaining good tumour control. Veterinary trials in SyncRT are anticipated to take place in the near future at the Australian Synchrotron's Imaging and Medical Beamline (IMBL). However, before veterinary trials can commence, a computerised treatment planning system (TPS) is required, which can quickly and accurately calculate the synchrotron x-ray dose through patient CT images. Furthermore, SyncRT TPS's must be familiar and intuitive to radiotherapy planners in order to alleviate necessary training and reduce user error. We have paired an accurate and fast Monte Carlo (MC) based SyncRT dose calculation algorithm with EclipseTM, the most widely implemented commercial TPS in the clinic. Using EclipseTM, we have performed preliminary SyncRT trials on dog cadavers at the IMBL, and verified calculated doses against dosimetric measurement to within 5% for heterogeneous tissue-equivalent phantoms. We have also performed a validation of the TPS against a full MC simulation for constructed heterogeneous phantoms in EclipseTM, and showed good agreement for a range of water-like tissues to within 5%–8%. Our custom EclipseTM TPS for SyncRT is ready to perform live veterinary trials at the IMBL.

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Making the right software choice for clinically used equipment in radiation oncology

Cited by 4 publications

References 15 publications

Enhancing clinical effectiveness of pre-radiotherapy workflow by using multidisciplinary-cooperating e-control and e-alerts

Enhancing clinical effectiveness of pre-radiotherapy workflow by using multidisciplinary-cooperating e-control and e-alerts

Informatics in Radiation Oncology

A commercial treatment planning system with a hybrid dose calculation algorithm for synchrotron radiotherapy trials

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