Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study

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dc.contributor.authorRaidou, Renata Georgiaen_US
dc.contributor.authorCasares-Magaz, Oscaren_US
dc.contributor.authorAmirkhanov, Aleksandren_US
dc.contributor.authorMoiseenko, Vitalien_US
dc.contributor.authorMuren, Ludvig P.en_US
dc.contributor.authorEinck, John P.en_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:07:52Z
dc.date.available2018-06-02T18:07:52Z
dc.date.issued2018
dc.description.abstractWe present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give indications of RT-induced complications for the patient. In prostate cancer RT treatment, despite the design of an initial plan prior to dose administration, bladder toxicity remains very common. The main reason is that the dose is delivered in multiple fractions over a period of weeks, during which, the anatomical variation of the bladder - due to differences in urinary filling - causes deviations between planned and delivered doses. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. This is currently done with Dose-Volume Histograms (DVHs), which provide limited, qualitative insight. The effect of bladder variation on dose delivery and the resulting toxicity cannot be currently examined with the DVHs. To address this need, we designed and implemented the Bladder Runner, which incorporates visualization strategies in a highly interactive environment with multiple linked views. Individual patients can be explored and analyzed through the entire treatment period, while inter-patient and temporal exploration, analysis and comparison are also supported. We demonstrate the applicability of our presented tool with a usage scenario, employing a dataset of 29 patients followed through the course of the treatment, across 13 time points. We conducted an evaluation with three clinical researchers working on the investigation of RT-induced bladder toxicity. All participants agreed that Bladder Runner provides better understanding and new opportunities for the exploration and analysis of the involved cohort data.en_US
dc.description.number3
dc.description.sectionheadersMedical Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13413
dc.identifier.issn1467-8659
dc.identifier.pages205-216
dc.identifier.urihttps://doi.org/10.1111/cgf.13413
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13413
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisual analytics
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.titleBladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Studyen_US
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