Purpose <p>Screening and diagnosing ISUP ≥ 2 prostate cancer is challenging. This study aimed to determine whether canine detection could be beneficial addition to the ISUP ≥ 2 prostate cancer diagnostic protocol by creating a decision-making algorithm for men with suspected prostate cancer.</p> Methods <p>We conducted a prospective study at two urology institutions and a French veterinary school, including men with a suspicion of prostate cancer from November to April 2023, which were divided into two groups according to their prostate biopsy results. Eight binary variables known to be associated with a higher risk of prostate cancer were considered: body mass index, family history, age, smoking status, hypertension, digital rectal examination, <sub>total</sub> PSA level and prostate MRI. A decision-making algorithm was then created using two diagnostic scores.</p> Results <p>151 patients were included, 78 with ISUP ≥2 prostate cancer, and 73 without. The ProstateDetectScore was based on age, blood pressure, digital rectal examination, and MRI.<Equation ID="Equa"> <EquationSource Format="TEX">\({\text{ProstateDetectScore~}}= \sum \left\{ {{\text{weight\,i\,x\,var\,ij}}} \right\}\)</EquationSource> </Equation>Weight <sub>i</sub> is the whole part {rounded (10 x β <sub>i</sub>)} where β <sub>i</sub> is the model parameter value associated with the variable i included in this model and var <sub>ij</sub> is the value of variable i for patient j. The ProstateK9DetectScore is calculated from the same data plus the canine detection result. The following algorithm was constructed:</p> <p></p> Conclusion <p>The algorithm, involving canine detection, increases ISUP ≥2 prostate cancer detection rate through prostate biopsy, thus reducing the number of unnecessary biopsies.</p>

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Algorithm to detect ISUP ≥ 2 prostate cancer using canine detection

  • Margaux Hermieu,
  • Alice Roux,
  • Loïc Desquilbet,
  • Nicolas Hermieu,
  • Capucine Gallet,
  • Evanguelos Xylinas,
  • Alexandre de La Taille,
  • Dominique Grandjean,
  • Jean-François Hermieu

摘要

Purpose

Screening and diagnosing ISUP ≥ 2 prostate cancer is challenging. This study aimed to determine whether canine detection could be beneficial addition to the ISUP ≥ 2 prostate cancer diagnostic protocol by creating a decision-making algorithm for men with suspected prostate cancer.

Methods

We conducted a prospective study at two urology institutions and a French veterinary school, including men with a suspicion of prostate cancer from November to April 2023, which were divided into two groups according to their prostate biopsy results. Eight binary variables known to be associated with a higher risk of prostate cancer were considered: body mass index, family history, age, smoking status, hypertension, digital rectal examination, total PSA level and prostate MRI. A decision-making algorithm was then created using two diagnostic scores.

Results

151 patients were included, 78 with ISUP ≥2 prostate cancer, and 73 without. The ProstateDetectScore was based on age, blood pressure, digital rectal examination, and MRI. \({\text{ProstateDetectScore~}}= \sum \left\{ {{\text{weight\,i\,x\,var\,ij}}} \right\}\) Weight i is the whole part {rounded (10 x β i)} where β i is the model parameter value associated with the variable i included in this model and var ij is the value of variable i for patient j. The ProstateK9DetectScore is calculated from the same data plus the canine detection result. The following algorithm was constructed:

Conclusion

The algorithm, involving canine detection, increases ISUP ≥2 prostate cancer detection rate through prostate biopsy, thus reducing the number of unnecessary biopsies.