Deep learning model using planar whole-body bone scintigraphy for diagnosis of skull base invasion in patients with nasopharyngeal carcinoma.
J Cancer Res Clin Oncol
; 150(10): 449, 2024 Oct 09.
Article
em En
| MEDLINE
| ID: mdl-39379746
ABSTRACT
PURPOSE:
This study assesses the reliability of deep learning models based on planar whole-body bone scintigraphy for diagnosing Skull base invasion (SBI) in nasopharyngeal carcinoma (NPC) patients.METHODS:
In this multicenter study, a deep learning model was developed using data from one center with a 73 allocation to training and internal test sets, to diagnose SBI in patients newly diagnosed with NPC using planar whole-body bone scintigraphy. Patients were diagnosed based on a composite reference standard incorporating radiologic and follow-up data. Ten different convolutional neural network (CNN) models were applied to both whole-image and partial-image input modes to determine the optimal model for each analysis. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration, decision curve analysis (DCA), and compared with expert assessments by two nuclear medicine physicians.RESULTS:
The best-performing model using partial-body input achieved AUCs of 0.80 (95% CI 0.73, 0.86) in the internal test set, 0.84 (95% CI 0.77, 0.91) in the external cohort, and 0.78 (95% CI 0.73, 0.83) in the treatment test cohort. Calibration curves and DCA confirmed the models' excellent discrimination, calibration, and potential clinical utility across internal and external datasets. The AUCs of both nuclear medicine physicians were lower than those of the best-performing deep learning model in external test set (AUC 0.75 vs. 0.77 vs. 0.84).CONCLUSION:
Deep learning models utilizing partial-body input from planar whole-body bone scintigraphy demonstrate high discriminatory power for diagnosing SBI in NPC patients, surpassing experienced nuclear medicine physicians.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Cintilografia
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Neoplasias Nasofaríngeas
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Carcinoma Nasofaríngeo
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Aprendizado Profundo
Limite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
J Cancer Res Clin Oncol
/
J. cancer res. clin. oncol
/
Journal of cancer research and clinical oncology
Ano de publicação:
2024
Tipo de documento:
Article
País de publicação:
Alemanha