Exploring the applicability of a lesion segmentation method on [

Fluorine-18 fluorothymidine Non-Hodgkin’s lymphoma PET/CT Segmentation Tumour proliferation volume

Journal

European journal of hybrid imaging
ISSN: 2510-3636
Titre abrégé: Eur J Hybrid Imaging
Pays: England
ID NLM: 101724113

Informations de publication

Date de publication:
25 Dec 2023
Historique:
received: 16 08 2023
accepted: 31 10 2023
medline: 25 12 2023
pubmed: 25 12 2023
entrez: 24 12 2023
Statut: epublish

Résumé

The determination of the total metabolic tumour volume based on [ We enrolled 23 adult patients with DLBCL confirmed in II-IV stages without nervous system compromise. All patients were scanned using [ Both, liver, and bone marrow can be indistinctly taken as reference tissue. The SUV threshold for a voxel to be considered as belonging to a lesion is expressed in terms of a percentage relative to the patient's uptake in the reference tissue. Found thresholds were: for liver, 62%, 33%, 27%; and for bone marrow, 35%, 21% and 22%, for baseline, iPET and fPET stages, respectively. The relative threshold throughout the treatment has a decreasing tendency along the stages. Based on the results obtained with [

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
The determination of the total metabolic tumour volume based on [
METHODS METHODS
We enrolled 23 adult patients with DLBCL confirmed in II-IV stages without nervous system compromise. All patients were scanned using [
RESULTS RESULTS
Both, liver, and bone marrow can be indistinctly taken as reference tissue. The SUV threshold for a voxel to be considered as belonging to a lesion is expressed in terms of a percentage relative to the patient's uptake in the reference tissue. Found thresholds were: for liver, 62%, 33%, 27%; and for bone marrow, 35%, 21% and 22%, for baseline, iPET and fPET stages, respectively. The relative threshold throughout the treatment has a decreasing tendency along the stages.
CONCLUSION CONCLUSIONS
Based on the results obtained with [

Identifiants

pubmed: 38143262
doi: 10.1186/s41824-023-00184-3
pii: 10.1186/s41824-023-00184-3
doi:

Types de publication

Journal Article

Langues

eng

Pagination

28

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Germán Pitarch (G)

Sección de Imágenes Moleculares y Terapia Metabólica, Hospital Universitario CEMIC, Ciudad Autónoma de Buenos Aires, Argentina.

Yamila Rotstein Habarnau (Y)

Centro Universitario de Imágenes Médicas, Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Buenos Aires, Argentina.

Roxana Chirico (R)

Sección de Imágenes Moleculares y Terapia Metabólica, Hospital Universitario CEMIC, Ciudad Autónoma de Buenos Aires, Argentina.

Brenda Konowalik (B)

Sección de Imágenes Moleculares y Terapia Metabólica, Hospital Universitario CEMIC, Ciudad Autónoma de Buenos Aires, Argentina.

Amalia Pérez (A)

Centro Universitario de Imágenes Médicas, Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Buenos Aires, Argentina.

Alejandro Valda (A)

Centro Universitario de Imágenes Médicas, Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Buenos Aires, Argentina. avalda@unsam.edu.ar.

María Bastianello (M)

Sección de Imágenes Moleculares y Terapia Metabólica, Hospital Universitario CEMIC, Ciudad Autónoma de Buenos Aires, Argentina.

Classifications MeSH