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Research Article

The relationship between the bladder volume and optimal treatment planning in definitive radiotherapy for localized prostate cancer

, , , , , & show all
Pages 730-734 | Received 30 Jun 2011, Accepted 04 Nov 2011, Published online: 01 Dec 2011

Figures & data

Table I. Patient characteristics.

Table II. Dose constraints.

Table III. Logistic regression analysis between bladder volume and the percentage of patients with an optimal plan.

Figure 1. The percentage of patients with an OP according to bladder volume. Patients were divided into subgroups according to their bladder volume by 50 ml. The percentage of patients with an OP was defined by dividing the number of patients with an OP by the number of patients in each subgroup. The size of each dot represents the number in each subgroup. n, number of patients; OP, optimal plan.

Figure 1. The percentage of patients with an OP according to bladder volume. Patients were divided into subgroups according to their bladder volume by 50 ml. The percentage of patients with an OP was defined by dividing the number of patients with an OP by the number of patients in each subgroup. The size of each dot represents the number in each subgroup. n, number of patients; OP, optimal plan.

Table IV. Univariate logistic regression analysis of association with achieving an optimal plan.

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