A tumour control probability model for radiotherapy of prostate cancer using magnetic resonance imaging-based apparent diffusion coefficient maps

Casares-Magaz, Oscar; Heide, Uulke A. van der; Rørvik, Jarle; Steenbergen, Peter J.; Muren, L.P.

doi:10.1016/j.radonc.2016.02.030

Cited by 28 publications

(47 citation statements)

References 32 publications

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“…Furthermore, it has been shown that increasing Gleason scores correlate with decreasing apparent diffusion coefficients (ADC) from diffusion weighted MRI (DWI-MRI) [11][12][13][14][15][16][17]. The study from Casares-Magaz et al [18] used ADC images of prostate cancers to estimate individual TCP levels. They translated ADC data into varying cell densities which implemented into the linear-quadratic model yielded significant differentiations in TCP estimations as compared to assuming homogeneous cell densities.…”

Section: Introductionmentioning

confidence: 99%

“…They translated ADC data into varying cell densities which implemented into the linear-quadratic model yielded significant differentiations in TCP estimations as compared to assuming homogeneous cell densities. However, the approach from Casares-Magaz et al [18] did not explore the correlation of ADC with Gleason scores, and hence, how Gleason scores would by means of the linear-quadratic model affect the resulting TCP differentiations.…”

Section: Introductionmentioning

confidence: 99%

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Dose painting of prostate cancer based on Gleason score correlations with apparent diffusion coefficients

et al. 2017

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We have from retrospective treatment data demonstrated a formalism that yield ADC driven dose painting prescriptions for prostate volumes that potentially can yield significant TCP increases without increasing dose burdens as compared to a homogeneous treatment dose. This motivates further development of the approach to consider more accurate ADC to Gleason mappings, issues with delivery robustness of heterogeneous dose distributions, and patient selection criteria for design of clinical trials.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dose painting of prostate cancer based on Gleason score correlations with apparent diffusion coefficients

et al. 2017

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“…Approaches Related to Radiobiological (TCP/NTCP) Analysis —Conventional TCP models are visualized in simple diagrammatic plots, depicting curves which quantify the probability that a tumor is effectively controlled, i.e., treated, given a specific radiation dose. Recently, new TCP models incorporating functional imaging have been built, improving radiobiological accuracy [CvR*16]. However, showing the uncertainties propagated from the respective imaging modality, or illustrating the sensitivity of the models to a number of parameter assumptions, has also become important.…”

Section: Taxonomy and Presentation Of Previous Work In Vc For Rtmentioning

confidence: 99%

State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning

Schlachter

Raidou

Muren

et al. 2019

Computer Graphics Forum

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Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which requires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of RT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological advancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of the compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process is described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and an extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The survey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.

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“…More precise radiation was required with it, and it increased that IMRT was performed as a mark with a gold marker. Also, the reports that a diffusion weighted image [Diffusion weighed image; DWI (apparent diffusion coefficient, ADC level)] of the MRI correlated with Prostate Specific Antigen (PSA) as a radiotherapy effect on prostate cancer increased [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Influence of fiducial marker for MR image of prostate radiotherapy

Tanaka¹,

Komeda²,

Hirose³

et al. 2018

Intergr Clin Med

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Fiducial marker for registration to CT and MRI in intensity modulated radiation therapy for prostate cancer came to be increasing. Whereas diffusion weighted image came to be used similar to the PSA of the blood test for radiotherapy effect measurement for prostate cancer. Generally, the diffusion weighted image was often affected by a magnetic component.We evaluated how much the marker had an influence on the diffusion weighted image. As a result, it was degree in range 2-5 mm that detained a marker that marker affected the image. We concluded that a fiducial marker does not affect the quality of diffusion weighted image on daily practice.

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A tumour control probability model for radiotherapy of prostate cancer using magnetic resonance imaging-based apparent diffusion coefficient maps

Cited by 28 publications

References 32 publications

Dose painting of prostate cancer based on Gleason score correlations with apparent diffusion coefficients

Dose painting of prostate cancer based on Gleason score correlations with apparent diffusion coefficients

State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning

Influence of fiducial marker for MR image of prostate radiotherapy

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