Artificial intelligence interpretation of touch print smear cytology of testicular specimen from patients with azoospermia.

ABSTRACT:

Purpose

Identification of mature sperm at microdissection testicular sperm extraction (mTESE) is a crucial step of sperm retrieval to help patients with non-obstructive azoospermia (NOA) proceed to intracytoplasmic sperm injection. Touch print smear (TPS) cytology allows immediate interpretation and prompt sperm identification intraoperatively. In this study, we leverage machine learning (ML) to facilitate TPS reading and conquer the learning curve for new operators.

Materials and methods

One hundred seventy-six microscopic TPS images from the testicular specimen of patients with azoospermia at Taipei Veterans General Hospital were retrospectively collected, including categories of Sertoli cell, primary spermatocytes, round spermatids, elongated spermatids, immature sperm, a

SUBMITTER: Hsu CH 

PROVIDER: S-EPMC11621269 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature