A study on whether deep learning models based on CT images for bone density classification and prediction can be used for opportunistic osteoporosis screening.

Peng, Tao; Zeng, Xiaohui; Li, Yang; Li, Man; Pu, Bingjie; Zhi, Biao; Wang, Yongqin; Qu, Haibo

Peng, Tao; Zeng, Xiaohui; Li, Yang; Li, Man; Pu, Bingjie; Zhi, Biao; Wang, Yongqin; Qu, Haibo.

Afiliación

Peng T; Department of Radiology, Affiliated Hospital of Chengdu University, 82 2Nd N Section of Second Ring Rd, Chengdu, 610081, Sichuan Province, China. pengtao919@163.com.
Zeng X; Department of Radiology, Affiliated Hospital of Chengdu University, 82 2Nd N Section of Second Ring Rd, Chengdu, 610081, Sichuan Province, China.
Li Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, Shanghai, 200232, China.
Li M; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, Shanghai, 200232, China.
Pu B; Department of Radiology, Affiliated Hospital of Chengdu University, 82 2Nd N Section of Second Ring Rd, Chengdu, 610081, Sichuan Province, China.
Zhi B; Department of Radiology, Affiliated Hospital of Chengdu University, 82 2Nd N Section of Second Ring Rd, Chengdu, 610081, Sichuan Province, China.
Wang Y; Department of Radiology, Affiliated Hospital of Chengdu University, 82 2Nd N Section of Second Ring Rd, Chengdu, 610081, Sichuan Province, China.
Qu H; Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China.

Osteoporos Int ; 35(1): 117-128, 2024 Jan.

Article en En | MEDLINE | ID: mdl-37670164

Asunto(s)

Enfermedades Óseas Metabólicas; Aprendizaje Profundo; Osteoporosis; Humanos; Densidad Ósea; Osteoporosis/diagnóstico por imagen; Tomografía Computarizada por Rayos X/métodos; Estudios Retrospectivos

Palabras clave

Artificial intelligence; Bone density classification; Bone density prediction; Convolutional neural network; Opportunistic CT scan; Osteoporosis screening

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Osteoporosis / Enfermedades Óseas Metabólicas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Osteoporos Int Asunto de la revista: METABOLISMO / ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: China

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