BACKGROUND: The histologic composition of prostate adenoma seems related to the development of clinical benign prostatic hyperplasia (BPH). Therefore, a new noninvasive prediction model as an alternative for biopsies was investigated. METHODS: In 19 patients, the data of a routine preoperative workup for transurethral resection (TURP) and of an additional MRI-examination were related to the results of morphometry on TURP-tissue. RESULTS: Statistical analysis identified age of the patient and MRI-volumetrics of the prostate adenoma as best predictors of the epithelial fraction, with a 95% confidence interval of at least 5% (range, 9-14%) (R2 = 50%). CONCLUSIONS: This prediction model is sufficiently accurate to categorize a population of patients into histologic subgroups. It seems very likely that this method will be of use as an investigative tool in medical trials to provide insight into the pathogenesis of clinical BPH and into treatment strategies for the individual patient.
BACKGROUND: The histologic composition of prostate adenoma seems related to the development of clinical benign prostatic hyperplasia (BPH). Therefore, a new noninvasive prediction model as an alternative for biopsies was investigated. METHODS: In 19 patients, the data of a routine preoperative workup for transurethral resection (TURP) and of an additional MRI-examination were related to the results of morphometry on TURP-tissue. RESULTS: Statistical analysis identified age of the patient and MRI-volumetrics of the prostate adenoma as best predictors of the epithelial fraction, with a 95% confidence interval of at least 5% (range, 9-14%) (R2 = 50%). CONCLUSIONS: This prediction model is sufficiently accurate to categorize a population of patients into histologic subgroups. It seems very likely that this method will be of use as an investigative tool in medical trials to provide insight into the pathogenesis of clinical BPH and into treatment strategies for the individual patient.
Authors: Douglas W Strand; Daniel N Costa; Franto Francis; William A Ricke; Claus G Roehrborn Journal: Differentiation Date: 2017-08-04 Impact factor: 3.880
Authors: Jessica C Dai; Tara N Morgan; Ramy Goueli; Daniel Parrott; Alexander Kenigsberg; Ryan J Mauck; Claus G Roehrborn; Douglas W Strand; Daniel N Costa; Jeffrey C Gahan Journal: J Endourol Date: 2022-02-28 Impact factor: 2.619