Evaluation of multiple machine learning models predicting the results of hybrid imaging in primary hyperparathyroidism

Evaluation of multiple machine learning models predicting the results of hybrid imaging in primary hyperparathyroidism

BACKGROUND: Primary hyperparathyroidism (PHP) diagnosis is based on abnormalities in biochemical blood tests. Preoperative localization of the affected gland with imaging may increase the effectiveness of the surgical treatment. The aim of this study is to evaluate predictive strategies for the asse...

Full description

Saved in:
Bibliographic Details
Main Authors: Anna Drynda, Jacek Podlewski, Karolina Kucharczyk, Grzegorz Sokołowski, Anna Sowa-Staszczak, Alicja Hubalewska-Dydejczyk, Małgorzata Trofimiuk- Müldner
Format: Article
Language:English
Published: Via Medica 2025-08-01
Series:Nuclear Medicine Review
Subjects:
primary hyperparathyroidism
SPECT-CT
hybrid imaging
parathyroidectomy
machine learning
Online Access:https://journals.viamedica.pl/nuclear_medicine_review/article/view/105377
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items