Aim: To describe new prediction tools in differantion of
Prostate Cancer from BPH during the diagnosis posedüre.
Material
and Methods: BMI was
assessed under three categories: BMI-1 (18.5-24.9 kg/m2), BMI-2
(25.0-29.9 kg/m2), and BMI-3 (30.0 kg/m2 or above). New
formations, CRP/NLR, CRP/PSA, NLR/PSA, NLR/BMI, (CRP/PSA)/(age/100),NLR/(PSA/age),NLR/(BMI/age),and(CRP*PSA*age)/100,
developed on the basis of the above four parameters together with age, waist
circumference, neutrophil and lymphocyte counts, were also evaluated. Non-parametric
Mann-Whitney U test and Kruskal-Wallis test were used for Statistical analysis p<0.05
was regarded as significant.
Results: When all pathology results (BPH and PCa) were
considered together with BMI (BMI-1, -2 and -3), waist circumference exhibited
the highest significance in the BPH-BMI-3 (p=0.000) group, NLR in the BPH-BMI-1
(p=0.000) group, and PSA in the PCa-BMI-3 (p=0.000) group. When BMI was
analyzed in the PCa groups, age (mean 71.64+1.32) (p=0.003) and CRP/PSA
(mean 0.42+0.35) (p=0.048) exhibited the highest values in terms of
statistical significance in the BMI-1 group, and PSA (mean 58.85+46.30)
(p=0.020) and waist circumference (mean 82.19+9.66) in the BMI-3 group
(p=0.009)
Conclusions: The combination of PSA, NLR and CRP based on BMI
must be considered before biopsy is performed in the TRUS guideline, which is
still valid for patients with PCa. We think that the new formulations we have
worked to develop can be of clinical use in the event of uncertainly in
differentiating between BPH and PCa.