Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts

In the setting of primary hyperparathyroidism (PHPT), [18F]fluorocholine PET/CT (FCH-PET) has excellent diagnostic performance, with experienced practitioners achieving 97.7% accuracy in localising hyperfunctioning parathyroid tissue (HPTT). Due to the relative triviality of the task for human reade...

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Bibliographic Details
Published in:Radiology and Oncology
Main Authors: Jarabek Leon, Jamsek Jan, Cuderman Anka, Rep Sebastijan, Hocevar Marko, Kocjan Tomaz, Jensterle Mojca, Spiclin Ziga, Macek Lezaic Ziga, Cvetko Filip, Lezaic Luka
Format: Article
Language:English
Published: Sciendo 2022-12-01
Subjects:
primary hyperparathyroidism
deep learning
nuclear medicine
fluorocholine
pet/ct
Online Access:https://doi.org/10.2478/raon-2022-0037
Description
Summary:In the setting of primary hyperparathyroidism (PHPT), [18F]fluorocholine PET/CT (FCH-PET) has excellent diagnostic performance, with experienced practitioners achieving 97.7% accuracy in localising hyperfunctioning parathyroid tissue (HPTT). Due to the relative triviality of the task for human readers, we explored the performance of deep learning (DL) methods for HPTT detection and localisation on FCH-PET images in the setting of PHPT.
ISSN:1581-3207

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