Prostate volume and age are predictors of energy delivery using the CoreTherm Concept in patients with LUTS/BPO: a study on thermal dose

Figures & data

Table 1. Assessment of treatments in order to define an optimal treatment in the study.

Assessment of treatments (n = 278)	Yes	No
Logical temperature curves	238	40
Calculated blood flow ≤20mL/min/100g	215	63
Primary endpoint achieved (cell kill)	234	44
Optimal treatment	199	79

Logical temperature curves, a calculated blood flow ≤20mL/min/100g and a calculated cell kill of ≥15% for prostates <100 ml and ≥12% for prostates ≥100 ml had to be present. Treatments that fulfilled all these three criteria was considered an optimal treatment.

Table 2. Baseline and treatment characteristics of the study population.

Baseline and treatment data (n = 199)	Median	Range	Q1–Q3
Age (yrs)	69	50–96	62–75
Prostate volume (mL)	68	30–219	51–87
Treatment time (min)	11	6–38	10–15
Energy (kJ)	28	18–79	23–33
Cell kill (g)	17	5–56	12–22
Cell kill (%)	24	13–32	21–26

Patient age and prostate volume, measured by transrectal ultrasound are baseline data, available before treatment. Treatment time, energy and cell kill are treatment data, extracted from the computer software after treatment.

Figure 1 a and b. The figures are derived from the multiple linear regression analysis of baseline prostate volume (1a (upper figure), r = 0.98) and age (1b (lower figure), r = 0.14) as the independent variables versus energy delivery as the dependent variable. The broad solid middle line represents the regression line and the thin solid lines on each side represents the upper and lower 95% confidence interval. All cases judged as optimal were included in the analysis and each case is represented by a black dot (n = 199).