Variation in prostate position quantitation and implications for three-dimensional conformal treatment planning

Melian, Edward; Mageras, G.; Fuks, Zvi; Leibel, Steven A.; Niehaus, Anita; Helen, Lorant; Zeléfsky, Michael J.; Baldwin, B.; Kutcher, Gerald J.

doi:10.1016/s0360-3016(97)00221-6

Cited by 176 publications

(93 citation statements)

References 12 publications

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“…data enabled the absolute iso-center shifts for each fraction to be calculated. These displacements are representative of typical prostate displacements reported in GUH and are similar to those reported in previously published data (van Herk et al 1995;Roeske et al 1995;Rudat et al 1996;Melian et al 1997;Tinger et al 1998;Antolak et al 1998;Stroom et al 1999;Zelefsky et al 1999). …”

Section: Chapter IVsupporting

confidence: 89%

“…The organs now have a finite element structure and are ready to be deformed. Organ volume is not conserved during deformation, this is in keeping with clinical observation (Roeske et al 1995;Melian et al 1997;Tinger et al 1998;Zelefsky et al 1999). In order to deform the organs a numeric array containing the inter-fraction displacement data must be created.…”

Section: V3 the Deformation Codementioning

confidence: 99%

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Radiobiological Modelling in Radiation Oncology

Warkentin¹

2007

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Section: Chapter IVsupporting

confidence: 89%

Section: V3 the Deformation Codementioning

confidence: 99%

Radiobiological Modelling in Radiation Oncology

Warkentin¹

2007

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“…Modelling the prostate and its environment remains difficult because many factors are influencing prostate motion and deformation. Indeed, measurements of prostate position have demonstrated movements [4] and deformations [5] of the organ mainly due to rectum and bladder filling and recently due to breathing [6] and patient position. In this paper, our aim is to simulate the influence of an endorectal echographic probe on prostate shape in function of bladder filling.…”

Section: Prostate Modelling In Its Environmentmentioning

confidence: 99%

Simulating Complex Organ Interactions: Evaluation of a Soft Tissue Discrete Model

Marchal¹,

Promayon²,

Troccaz³

2005

Advances in Visual Computing

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Abstract.Computer assisted procedures play a key role in the improvement of surgical operations. The current techniques in simulation potentially lead to more accuracy, more safety and more predictability in the surgical room. Despite the important number of algorithms proposed for interactively modelling deformable objects such as soft human tissues, very few methods have attempted to simulate complex anatomical configurations. In this paper, we present a new approach for soft tissue modelling whose novelty is to integrate the interactions between a given soft organ and its surrounding organs. The proposed discrete model is compared to finite element method in order to quantify its performance and physical realism. The model is applied to the simulation of the prostate-bladder set.

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“…Rectal filling and bladder volume are the main factors affecting the prostate inter-fractional motion in patients with prostate cancer [8] [9]. Antolak et al reported that the prostate target volume variations during a course of radiotherapy, and the CTV mobility were correlated with rectal volume changes [9].…”

Section: Introductionmentioning

confidence: 99%

“…Antolak et al reported that the prostate target volume variations during a course of radiotherapy, and the CTV mobility were correlated with rectal volume changes [9]. Melian et al showed that the anterior-posterior (AP) and superior-inferior (SI) movements in the prostate position correlated with the bladder volume, while the rectal volume correlated with the observed AP motion [8].…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Daily Cone-Beam Computed Tomography as Part of a Rescan Protocol for Large Offset to Reduce the Inter-Fractional Motion of the Prostate

Yamaguchi¹,

Ohguri²,

Imada³

et al. 2014

IJMPCERO

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Purpose: To prospectively analyze the inter-fractional motion of the prostate in patients with prostate cancer treated with intensity-modulated radiation therapy (IMRT) using image-guided radiotherapy (IGRT) with daily cone-beam computed tomography (CBCT) as part of a rescan protocol for large offset, and to evaluate the efficacy of our protocol. Materials and Methods: Eligible patients were treated with the following protocol: 1) magnesium oxide and dimethylpolysiloxane were administered to ensure that patients had regular bowel movements; 2) the patients were instructed to have an appropriately distended bladder during the planning CT and daily irradiation; 3) the daily CBCT image was fused with the planning CT image using the prostate outline; and 4) if large offset was recognized, a rescan CBCT image was obtained after appropriate countermeasures, such as the discharge of gas and defecation, and re-registration was performed. Three shifts for the inter-fractional motion of the prostate were analyzed, in the fractions which needed the CBCT rescan; the displacement data after the final rescan were used. Results: Sixty-one patients were eligible, and a total of 2302 fractions were available for the analysis. Rescans of the CBCT for large offset were performed in 113 (5%) of the 2302 fractions. After the first rescan, the large offset was resolved in 106 (94%) of the 113 fractions. Excessive rectal gas was the reason for the large offset in 94 (83%) of the 113 fractions. The total mean and standard deviation of the inter-fractional motion of the prostate in the AP, LR, and SI directions were 1.1 ± 2.4, −0.1 ± 2.3, and 0.7 ± 3.0 mm, respectively. Conclusion: Large offset was recognized in 5% of all fractions. Daily * Corresponding author. S. Yamaguchi et al. 194CBCT with our rescan protocol could resolve the large offset, which was mainly caused by excessive rectal gas, and it may therefore be promising to reduce the inter-fractional motion of the prostate.

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Variation in prostate position quantitation and implications for three-dimensional conformal treatment planning

Cited by 176 publications

References 12 publications

Radiobiological Modelling in Radiation Oncology

Radiobiological Modelling in Radiation Oncology

Simulating Complex Organ Interactions: Evaluation of a Soft Tissue Discrete Model

Efficacy of Daily Cone-Beam Computed Tomography as Part of a Rescan Protocol for Large Offset to Reduce the Inter-Fractional Motion of the Prostate

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