Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography

To compare the quality and interobserver agreement in the evaluation of lumbar spinal stenosis (LSS) on computed tomography (CT) images between deep-learning reconstruction (DLR) and hybrid iterative reconstruction (hybrid IR). This retrospective study included 30 patients (age, 71.5 ± 12.5 years; 2...

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Detalles Bibliográficos
Autores principales: Miyo, Rintaro, Yasaka, Koichiro, Hamada, Akiyoshi, Sakamoto, Naoya, Hosoi, Reina, Mizuki, Masumi, Abe, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256360/
https://www.ncbi.nlm.nih.gov/pubmed/37335676
http://dx.doi.org/10.1097/MD.0000000000033910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256360/
https://www.ncbi.nlm.nih.gov/pubmed/37335676
http://dx.doi.org/10.1097/MD.0000000000033910

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