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Standardization of penile angle estimation with a semi-automated algorithm.

Nicolas Fernandez1, Leonardo Flórez-Valencia2, Juan Guillermo Prada3

  • 1Division of Urology. Seattle Children's Hospital. University of Washington. Seattle, USA.

Journal of Pediatric Urology
|February 8, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a semi-automated algorithm for objective penile curvature (PC) assessment. The algorithm provides reproducible measurements, with optimal accuracy achieved at camera angles between 0-30 degrees.

Keywords:
ChordeeGeometryHypospadiasPenile curvature

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Area of Science:

  • Urology
  • Medical Imaging
  • Surgical Technology

Background:

  • Penile curvature (PC) assessment lacks standardized, objective methods, hindering reproducible surgical decision-making.
  • Existing evaluation techniques are subjective and difficult to standardize among surgeons.
  • Accurate, real-time PC measurement is crucial for guiding surgical interventions, particularly in cases associated with hypospadias.

Purpose of the Study:

  • To develop and validate a semi-automated algorithm for objective and reproducible penile curvature (PC) assessment.
  • To propose this algorithm as a standardized protocol for clinical use.
  • To evaluate the algorithm's performance using 3-D printed penile models.

Main Methods:

  • A semi-automated algorithm was created to estimate penile angle from digital images by identifying the penile model's geometrical centerline.
  • The algorithm was tested on 9 3-D printed penile models with known curvatures (10-90°).
  • Ten evaluators assessed angle estimations from lateral view images taken at various camera angles (0-60°), with inter-rater reliability analyzed using the intraclass correlation coefficient (ICC).

Main Results:

  • The algorithm demonstrated high inter-rater reliability (ICC .873–.946, p<.0001) across different camera angles.
  • Angle estimation accuracy was highest with minimal camera angle deviation (0°), showing a mean difference of 7.83°.
  • Greater variability in angle measurement occurred at camera angles exceeding 30°, with a mean difference greater than 10°.

Conclusions:

  • The developed algorithm standardizes PC assessment, reducing subjectivity through objective, reproducible measurements.
  • Optimal camera positioning (0-30° vertical from the penis) yields the most accurate and least variable angle estimations.
  • Future research will utilize algorithms to establish predictive PC cutoff values and assess postoperative outcomes.