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Amyloid brain-dedicated PET images can diagnose Alzheimer's pathology with Centiloid Scale.
Gandia-Ferrero, Maria Teresa; Torres-Espallardo, Irene; Martínez-Sanchis, Begoña; Muñoz, Enrique; Morera-Ballester, Constantino; Sopena-Novales, Pablo; Álvarez-Sánchez, Lourdes; Baquero-Toledo, Miquel; Martí-Bonmatí, Luis.
Afiliación
  • Gandia-Ferrero MT; Biomedical Imaging Research Group (GIBI2(30)), La Fe Health Research Institute (IIS La Fe), Avenida Fernando Abril Martorell, València 46026, Spain. Electronic address: mteresa_gandia@iislafe.es.
  • Torres-Espallardo I; Biomedical Imaging Research Group (GIBI2(30)), La Fe Health Research Institute (IIS La Fe), Avenida Fernando Abril Martorell, València 46026, Spain; Nuclear Medicine Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
  • Martínez-Sanchis B; Nuclear Medicine Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
  • Muñoz E; Oncovision, Carrer de Jeroni de Montsoriu, 92, València 46022, Spain.
  • Morera-Ballester C; Oncovision, Carrer de Jeroni de Montsoriu, 92, València 46022, Spain.
  • Sopena-Novales P; Nuclear Medicine Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
  • Álvarez-Sánchez L; Neurology Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
  • Baquero-Toledo M; Neurology Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
  • Martí-Bonmatí L; Biomedical Imaging Research Group (GIBI2(30)), La Fe Health Research Institute (IIS La Fe), Avenida Fernando Abril Martorell, València 46026, Spain; Radiology Department, La Fe University and Polytechnic Hospital, Avenida Fernando Abril Martorell, València 46026, Spain.
Phys Med ; 121: 103345, 2024 May.
Article en En | MEDLINE | ID: mdl-38581963
ABSTRACT

PURPOSE:

To evaluate whether the Centiloid Scale may be used to diagnose Alzheimer's Disease (AD) pathology effectively with the only use of amyloid PET imaging modality from a brain-dedicated PET scanner.

METHODS:

This study included 26 patients with amyloid PET images with 3 different radiotracers. All patients were acquired both on a PET/CT and a brain-dedicated PET scanner (CareMiBrain, CMB), from which 4 different reconstructions were implemented. A new pipeline was proposed and used for the PET image analysis based on the original Centiloid Scale processing pipeline, but with only PET images. The Youden's Index was employed to calculate the optimal cutoffs for diagnosis and evaluated by the AUC, accuracy, precision, and recall metrics.

RESULTS:

The Centiloid Scale (CL) processing pipeline was validated with and without the use of MR images. The CL cutoffs for AD pathology diagnosis on the PET/CT and the 4 CMB reconstructions were 34.4 ±â€¯2.2, 43.5 ±â€¯3.5, 51.9 ±â€¯12.5, 57.5 ±â€¯6.8 and 41.8 ±â€¯1.2 respectively. Overall, for these cutoffs all metrics obtained the maximum score.

CONCLUSION:

The Centiloid scale applied to PET images allows for AD pathology diagnosis. The CMB scanner can be used with the Centiloid scale to automatically assist in the diagnosis of AD pathology, relieving the large burden of neurodegenerative diseases on a traditional PET/CT.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Tomografía de Emisión de Positrones / Enfermedad de Alzheimer / Amiloide Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Tomografía de Emisión de Positrones / Enfermedad de Alzheimer / Amiloide Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2024 Tipo del documento: Article
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