Related Experiment Video
Updated: Jan 14, 2026

05:12
Transoral Endoscopic Thyroidectomy Vestibular Approach for Thyroid Lobectomy
Published on: May 12, 2023
4.7K
Parameters Predicting Orchiectomy Risk in Acute Testicular Torsion: TMPEV Score
Muhammed Cihan Temel1, Sezgin Okçelik2, Yunus Emre Kizilkan3
1Department of Urology, Nevşehir State Hospital, 50100 Nevşehir, Turkey.
Archivos Espanoles De Urologia
|October 20, 2025
Summary
Predicting orchiectomy risk in acute testicular torsion (TT) involves more than just surgery time. Mean platelet volume (MPV), Prehn's sign, and ultrasound findings are key indicators for testicular salvage.
Area of Science:
- Urology
- Pediatric Surgery
- Emergency Medicine
Background:
- Acute testicular torsion (TT) poses a significant risk of orchiectomy.
- Identifying predictors of orchiectomy beyond surgical delay is crucial for testicular salvage.
Purpose of the Study:
- To identify parameters, in addition to time to surgery, that predict orchiectomy risk in acute testicular torsion (TT).
Main Methods:
- Retrospective analysis of 83 patients with acute TT across five Turkish health centers (2016-2023).
- Patients were categorized into Group I (orchiectomy) and Group II (testicular preservation).
- Statistical analysis to compare groups and identify predictors of testicular salvage.
Main Results:
- Time to surgery and mean platelet volume (MPV) were higher in the orchiectomy group (Group I).
- Prehn's sign negativity, normal testicular echogenicity, and normal testicular volume on ultrasound were more frequent in the testicular preservation group (Group II).
- A novel scoring system, Time, MPV, Prehn's sign, Echogenicity, and Volume (TMPEV), was developed to predict orchiectomy risk.
Conclusions:
- Factors beyond surgical delay, including MPV, Prehn's sign, and ultrasound characteristics, significantly influence testicular salvage outcomes in TT.
- The developed TMPEV scoring system shows promise for predicting orchiectomy risk.
- Further development of nomograms like TMPEV could lead to proactive management algorithms for TT.
