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...
| Published in: | Radiology and Oncology |
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| Main Authors: | , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2022-12-01
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| Subjects: | |
| Online Access: | https://doi.org/10.2478/raon-2022-0037 |
| _version_ | 1857115705381486592 |
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| author | Jarabek Leon Jamsek Jan Cuderman Anka Rep Sebastijan Hocevar Marko Kocjan Tomaz Jensterle Mojca Spiclin Ziga Macek Lezaic Ziga Cvetko Filip Lezaic Luka |
| author_facet | Jarabek Leon Jamsek Jan Cuderman Anka Rep Sebastijan Hocevar Marko Kocjan Tomaz Jensterle Mojca Spiclin Ziga Macek Lezaic Ziga Cvetko Filip Lezaic Luka |
| author_sort | Jarabek Leon |
| collection | DOAJ |
| container_title | Radiology and Oncology |
| description | 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. |
| format | Article |
| id | doaj-art-e62e96fe2e034792a6b92df9d2bdfd4f |
| institution | Directory of Open Access Journals |
| issn | 1581-3207 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Sciendo |
| record_format | Article |
| spelling | doaj-art-e62e96fe2e034792a6b92df9d2bdfd4f2025-08-19T19:10:56ZengSciendoRadiology and Oncology1581-32072022-12-0156444045210.2478/raon-2022-0037Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human expertsJarabek Leon0Jamsek Jan1Cuderman Anka2Rep Sebastijan3Hocevar Marko4Kocjan Tomaz5Jensterle Mojca6Spiclin Ziga7Macek Lezaic Ziga8Cvetko Filip9Lezaic Luka10Department of Radiology, General Hospital Novo Mesto, Novo MestoSloveniaDepartment for Nuclear Medicine, University Medical CentreLjubljana, SloveniaDepartment for Nuclear Medicine, University Medical CentreLjubljana, SloveniaDepartment for Nuclear Medicine, University Medical CentreLjubljana, SloveniaDepartment of Surgical Oncology, Institute of Oncology, LjubljanaSloveniaFaculty of Medicine, University of Ljubljana, Ljubljana, SloveniaFaculty of Medicine, University of Ljubljana, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, LjubljanaSloveniaRožna dolina, c. VI/8, Ljubljana, SloveniaFaculty of Medicine, University of Ljubljana, Ljubljana, SloveniaDepartment for Nuclear Medicine, University Medical CentreLjubljana, SloveniaIn 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.https://doi.org/10.2478/raon-2022-0037primary hyperparathyroidismdeep learningnuclear medicinefluorocholinepet/ct |
| spellingShingle | Jarabek Leon Jamsek Jan Cuderman Anka Rep Sebastijan Hocevar Marko Kocjan Tomaz Jensterle Mojca Spiclin Ziga Macek Lezaic Ziga Cvetko Filip Lezaic Luka Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts primary hyperparathyroidism deep learning nuclear medicine fluorocholine pet/ct |
| title | Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts |
| title_full | Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts |
| title_fullStr | Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts |
| title_full_unstemmed | Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts |
| title_short | Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts |
| title_sort | detection and localization of hyperfunctioning parathyroid glands on 18f fluorocholine pet ct using deep learning model performance and comparison to human experts |
| topic | primary hyperparathyroidism deep learning nuclear medicine fluorocholine pet/ct |
| url | https://doi.org/10.2478/raon-2022-0037 |
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