Literature DB >> 24732680

Metabolic impact of partial volume correction of [18F]FDG PET-CT oncological studies on the assessment of tumor response to treatment.

A Stefano, F Gallivanone, C Messa, M C Gilardi, I Gastiglioni.   

Abstract

AIM: The aim of this work is to evaluate the metabolic impact of Partial Volume Correction (PVC) on the measurement of the Standard Uptake Value (SUV) from [18F]FDG PET-CT oncological studies for treatment monitoring purpose.
METHODS: Twenty-nine breast cancer patients with bone lesions (42 lesions in total) underwent [18F]FDG PET-CT studies after surgical resection of breast cancer primitives, and before (PET-II) chemotherapy and hormone treatment. PVC of bone lesion uptake was performed on the two [18F]FDG PET-CT studies, using a method based on Recovery Coefficients (RC) and on an automatic measurement of lesion metabolic volume. Body-weight average SUV was calculated for each lesion, with and without PVC. The accuracy, reproducibility, clinical feasibility and the metabolic impact on treatment response of the considered PVC method was evaluated.
RESULTS: The PVC method was found clinically feasible in bone lesions, with an accuracy of 93% for lesion sphere-equivalent diameter >1 cm. Applying PVC, average SUV values increased, from 7% up to 154% considering both PET-I and PET-II studies, proving the need of the correction. As main finding, PVC modified the therapy response classification in 6 cases according to EORTC 1999 classification and in 5 cases according to PERCIST 1.0 classification.
CONCLUSION: PVC has an important metabolic impact on the assessment of tumor response to treatment by [18F]FDG PET-CT oncological studies.

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Year:  2014        PMID: 24732680

Source DB:  PubMed          Journal:  Q J Nucl Med Mol Imaging        ISSN: 1824-4785            Impact factor:   2.346


  6 in total

1.  An enhanced random walk algorithm for delineation of head and neck cancers in PET studies.

Authors:  Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Maria Gabriella Sabini; Daniele Sardina; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

2.  PIK3CA Mutational Status Is Associated with High Glycolytic Activity in ER+/HER2- Early Invasive Breast Cancer: a Molecular Imaging Study Using [18F]FDG PET/CT.

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Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

3.  Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy.

Authors:  Francesca Gallivanone; Marta Maria Panzeri; Carla Canevari; Claudio Losio; Luigi Gianolli; Francesco De Cobelli; Isabella Castiglioni
Journal:  MAGMA       Date:  2017-02-28       Impact factor: 2.310

Review 4.  Impact of partial-volume correction in oncological PET studies: a systematic review and meta-analysis.

Authors:  Matthijs C F Cysouw; Gerbrand M Kramer; Linda J Schoonmade; Ronald Boellaard; Henrica C W de Vet; Otto S Hoekstra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-04       Impact factor: 9.236

5.  A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models.

Authors:  Viviana Benfante; Alessandro Stefano; Albert Comelli; Paolo Giaccone; Francesco Paolo Cammarata; Selene Richiusa; Fabrizio Scopelliti; Marco Pometti; Milene Ficarra; Sebastiano Cosentino; Marcello Lunardon; Francesca Mastrotto; Alberto Andrighetto; Antonino Tuttolomondo; Rosalba Parenti; Massimo Ippolito; Giorgio Russo
Journal:  J Imaging       Date:  2022-03-30

6.  Correlation between histological grade and positron emission tomography parameters in cervical carcinoma.

Authors:  Vanessa Mocciaro; Paolo Scollo; Alessandro Stefano; Stefania Gieri; Giorgio Russo; Giuseppe Scibilia; Sebastiano Cosentino; Gabriella Murè; Sara Baldari; Maria Gabriella Sabini; Filippo Fraggetta; Maria Carla Gilardi; Massimo Ippolito
Journal:  Oncol Lett       Date:  2016-06-23       Impact factor: 2.967

  6 in total

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