Localized FDG loss in lung cancer lesions

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Parodi, Davide, Dighero, Edoardo, Biddau, Giorgia, D'Amico, Francesca, Bauckneht, Matteo, Marini, Cecilia, Garbarino, Sara, Campi, Cristina, Piana, Michele, Sambuceti, Gianmario
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866910467678535680
author Parodi, Davide
Dighero, Edoardo
Biddau, Giorgia
D'Amico, Francesca
Bauckneht, Matteo
Marini, Cecilia
Garbarino, Sara
Campi, Cristina
Piana, Michele
Sambuceti, Gianmario
author_facet Parodi, Davide
Dighero, Edoardo
Biddau, Giorgia
D'Amico, Francesca
Bauckneht, Matteo
Marini, Cecilia
Garbarino, Sara
Campi, Cristina
Piana, Michele
Sambuceti, Gianmario
contents Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesion almost contains inflammatory infiltrates whose cells are characterized by a significant radioactivity washout due to the hydrolysis of FDG-6P catalyzed by glucose-6P phosphatase. The present study aimed to verify whether voxel-wise compartmental analysis of dynamic imaging can identify tumor regions characterized by tracer washout. Materials & Methods: The study included 11 patients with lung cancer submitted to PET/CT imaging for staging purposes. Tumor was defined by drawing a volume of interest loosely surrounding the lesion and considering all inside voxels with standardized uptake value (SUV) >40% of the maximum. After 20 minutes dynamic imaging centered on the heart, eight whole body scans were repeated. Six parametric maps were progressively generated by computing six regression lines that considered all eight frames, the last seven ones, and so on, up to the last three. Results: Progressively delaying the starting point of regression line computation identified a progressive increase in the prevalence of voxels with a negative slope. Conclusions: The voxel-wise parametric maps provided by compartmental analysis permits to identify a measurable volume characterized by radioactivity washout. The spatial localization of this pattern is compatible with the recognized preferential site of inflammatory infiltrates populating the tumor stroma and might improve the power of FDG imaging in monitoring the effectiveness of treatments aimed to empower the host immune response against the cancer.
format Preprint
id arxiv_https___arxiv_org_abs_2406_00382
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Localized FDG loss in lung cancer lesions
Parodi, Davide
Dighero, Edoardo
Biddau, Giorgia
D'Amico, Francesca
Bauckneht, Matteo
Marini, Cecilia
Garbarino, Sara
Campi, Cristina
Piana, Michele
Sambuceti, Gianmario
Tissues and Organs
Applications
92C55
J.3
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesion almost contains inflammatory infiltrates whose cells are characterized by a significant radioactivity washout due to the hydrolysis of FDG-6P catalyzed by glucose-6P phosphatase. The present study aimed to verify whether voxel-wise compartmental analysis of dynamic imaging can identify tumor regions characterized by tracer washout. Materials & Methods: The study included 11 patients with lung cancer submitted to PET/CT imaging for staging purposes. Tumor was defined by drawing a volume of interest loosely surrounding the lesion and considering all inside voxels with standardized uptake value (SUV) >40% of the maximum. After 20 minutes dynamic imaging centered on the heart, eight whole body scans were repeated. Six parametric maps were progressively generated by computing six regression lines that considered all eight frames, the last seven ones, and so on, up to the last three. Results: Progressively delaying the starting point of regression line computation identified a progressive increase in the prevalence of voxels with a negative slope. Conclusions: The voxel-wise parametric maps provided by compartmental analysis permits to identify a measurable volume characterized by radioactivity washout. The spatial localization of this pattern is compatible with the recognized preferential site of inflammatory infiltrates populating the tumor stroma and might improve the power of FDG imaging in monitoring the effectiveness of treatments aimed to empower the host immune response against the cancer.
title Localized FDG loss in lung cancer lesions
topic Tissues and Organs
Applications
92C55
J.3
url https://arxiv.org/abs/2406.00382