Aktuelle Anforderungen an das Bildmanagement in der Strahlentherapie

Steil, Volker; Röhner, Fred; Schneider, Frank; Wenz, Frederik; Lohr, Frank; Weisser, G

doi:10.1007/s00066-012-0095-2

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…Even laboratory data with specified min and max values and depiction of pathology values (red = too high, blue = too low) are effortlessly displayed, see Figure 7 . The processing and depiction of irradiation relevant data is of particular importance in our clinic [ 16 , 17 ]. There are even web-services which provide data to staff members for established treatment techniques such as intensity modulated radiotherapy (IMRT, VMAT), image guided radiotherapy (IGRT) for example by means of Cone Beam CT (CBCT) [ 18 - 20 ], in addition to special treatment forms such as stereotactic irradiation [ 21 , 22 ].…”

Section: Methodsmentioning

confidence: 99%

Visualization of data in radiotherapy using web services for optimization of workflow

et al. 2015

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BackgroundEvery day a large amount of data is produced within a radiotherapy department. Although this data is available in one form or other within the centralised systems, it is often not in the form which is of interest to the departmental staff. This work presents a flexible browser based reporting and visualization system for clinical and scientific use, not currently found in commercially available software such as MOSAIQTM or ARIATM. Moreover, the majority of user merely wish to retrieve data and not record and/or modify data. Thus the idea was conceived, to present the user with all relevant information in a simple and effective manner in the form of web-services. Due to the widespread availability of the internet, most people can master the use of a web-browser. Ultimately the aim is to optimize clinical procedures, enhance transparency and improve revenue.MethodsOur working group (BAS) examined many internal procedures, to find out whether relevant information suitable for our purposes lay therein. After the results were collated, it was necessary to select an effective software platform. After a more detailed analysis of all data, it became clear that the implementation of web-services was appropriate. In our institute several such web-based information services had already been developed over the last few years, with which we gained invaluable experience. Moreover, we strived for high acceptance amongst staff members.ResultsBy employing web-services, we attained high effectiveness, transparency and efficient information processing for the user. Furthermore, we achieved an almost maintenance-free and low support system. The aim of the project, making web-based information available to the user from the departmental system MOSAIQ, physician letter system MEDATECR and the central finding server MiraPlus (laboratory, pathology and radiology) were implemented without restrictions.ConclusionDue to widespread use of web-based technology the training effort was effectively nil, since practically every member of staff can master the use of a web-browser. Moreover, we have achieved high acceptance amongst staff members and have improved our effectiveness resulting in a considerable time saving.The many MOSAIQ-specific parts of the system can be readily used by departments which use MOSAIQ as the departmental system.

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Section: Methodsmentioning

confidence: 99%

Visualization of data in radiotherapy using web services for optimization of workflow

et al. 2015

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“…Combining patient data from involved systems is essential to prepare unstructured data for analyses. This demands special coordination in data management end electronic data capture (EDC) [ 7 , 8 ] while at the same time complying with data protection regulations. Clinical data management systems or databases are therefore on the rise starting from different initial situations, aiming for different goals and following different approaches to cope with Big Data [ 9 – 13 ].…”

Section: Introductionmentioning

confidence: 99%

Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey

Kessel

Combs

2015

Radiat Oncol

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IntroductionRecently, information availability has become more elaborate and widespread, and treatment decisions are based on a multitude of factors. Gathering relevant data, also referred to as Big Data, is therefore critical for reaching the best patient care, and enhancing interdisciplinary and clinical research. Combining patient data from all involved systems is essential to prepare unstructured data for analyses. This demands special coordination in data management. Our study aims to characterize current developments in German-speaking hospital departments and practices. We successfully conducted the survey with the members of the Deutsche Gesellschaft für Radioonkologie (DEGRO).MethodsA questionnaire was developed consisting of 17 questions related to data management, documentation and clinical trial analyses, reflecting the clinical topics such as basic patient information, imaging, follow-up information as well as connection of documentation tools with radiooncological treatment planning machines.ResultsA total of 44 institutions completed the online survey (University hospitals n = 17, hospitals n = 13, practices/institutes n = 14). University hospitals, community hospitals and private practices are equally equipped concerning IT infrastructure for clinical use. However, private practices have a low interest in research work. All respondents stated the biggest obstacles about introducing a documentation system into their unit lie in funding and support of the central IT departments. Only 27 % (12/44) of responsible persons are specialists for documentation and data management.ConclusionOur study gives an understanding of the challenges and solutions we need to be looking at for medical data storage. In the future, inter-departmental cross-links will enable the radiation oncology community to generate large-scale analyses.Electronic supplementary materialThe online version of this article (doi:10.1186/s13014-015-0543-0) contains supplementary material, which is available to authorized users.

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“…However, it involves handling a variety of significant datasets from numerous information systems in different documentation styles. Especially when analyzing a large number of patients, it can be immensely time consuming [1,2]. The ultimate goal is the correlation of pre-treatment imaging, radiation treatment plans and follow-up imaging with less effort, even in centers where multiple treatment planning systems are in use.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of automatic tools for interactive recurrence analysis in radiation therapy: optimization of treatment algorithms for locally advanced pancreatic cancer

et al. 2013

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BackgroundIn radiation oncology recurrence analysis is an important part in the evaluation process and clinical quality assurance of treatment concepts. With the example of 9 patients with locally advanced pancreatic cancer we developed and validated interactive analysis tools to support the evaluation workflow.MethodsAfter an automatic registration of the radiation planning CTs with the follow-up images, the recurrence volumes are segmented manually. Based on these volumes the DVH (dose volume histogram) statistic is calculated, followed by the determination of the dose applied to the region of recurrence and the distance between the boost and recurrence volume. We calculated the percentage of the recurrence volume within the 80%-isodose volume and compared it to the location of the recurrence within the boost volume, boost + 1 cm, boost + 1.5 cm and boost + 2 cm volumes.ResultsRecurrence analysis of 9 patients demonstrated that all recurrences except one occurred within the defined GTV/boost volume; one recurrence developed beyond the field border/outfield. With the defined distance volumes in relation to the recurrences, we could show that 7 recurrent lesions were within the 2 cm radius of the primary tumor. Two large recurrences extended beyond the 2 cm, however, this might be due to very rapid growth and/or late detection of the tumor progression.ConclusionThe main goal of using automatic analysis tools is to reduce time and effort conducting clinical analyses. We showed a first approach and use of a semi-automated workflow for recurrence analysis, which will be continuously optimized. In conclusion, despite the limitations of the automatic calculations we contributed to in-house optimization of subsequent study concepts based on an improved and validated target volume definition.

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Aktuelle Anforderungen an das Bildmanagement in der Strahlentherapie

Cited by 9 publications

References 14 publications

Visualization of data in radiotherapy using web services for optimization of workflow

Visualization of data in radiotherapy using web services for optimization of workflow

Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey

Development and validation of automatic tools for interactive recurrence analysis in radiation therapy: optimization of treatment algorithms for locally advanced pancreatic cancer

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