Literature DB >> 29519408

Evaluation of third treatment week as temporal window for assessing responsiveness on repeated FDG-PET-CT scans in Non-Small Cell Lung Cancer patients.

M Lazzeroni1, J Uhrdin2, S Carvalho3, W van Elmpt3, P Lambin3, A Dasu4, P Wersäll5, I Toma-Dasu6.   

Abstract

PURPOSE: Early assessment of tumour response to treatment with repeated FDG-PET-CT imaging has potential for treatment adaptation but it is unclear what the optimal time window for this evaluation is. Previous studies indicate that changes in SUVmean and the effective radiosensitivity (αeff, accounting for uptake variations and accumulated dose until the second FDG-PET-CT scan) are predictive of 2-year overall survival (OS) when imaging is performed before radiotherapy and during the second week. This study aims to investigate if multiple FDG-PET-derived quantities determined during the third treatment week have stronger predictive power.
METHODS: Twenty-eight lung cancer patients were imaged with FDG-PET-CT before radiotherapy (PET1) and during the third week (PET2). SUVmean, SUVmax, SUVpeak, MTV41%-50% (Metabolic Tumour Volume), TLG41%-50% (Total Lesion Glycolysis) in PET1 and PET2 and their change (), as well as average αeff (α¯eff) and the negative fraction of αeff values [Formula: see text] ) were determined. Correlations were sought between FDG-PET-derived quantities and OS with ROC analysis.
RESULTS: Neither SUVmean, SUVmax, SUVpeak in PET1 and PET2 (AUC = 0.5-0.6), nor their changes (AUC = 0.5-0.6) were significant for outcome prediction purposes. Lack of correlation with OS was also found for α¯eff (AUC = 0.5) and [Formula: see text] (AUC = 0.5). Threshold-based quantities (MTV41%-50%, TLG41%-50%) and their changes had AUC = 0.5-0.7. P-values were in all cases ≫0.05.
CONCLUSIONS: The poor OS predictive power of the quantities determined from repeated FDG-PET-CT images indicates that the third week of treatment might not be suitable for treatment response assessment. Comparatively, the second week during the treatment appears to be a better time window.
Copyright © 2018 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FDG-PET-CT; NSCLC; Treatment adaptation

Mesh:

Substances:

Year:  2018        PMID: 29519408     DOI: 10.1016/j.ejmp.2018.01.012

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

1.  Personalized mid-course FDG-PET based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization.

Authors:  Ali Ajdari; Zhongxing Liao; Radhe Mohan; Xiong Wei; Thomas Bortfeld
Journal:  Phys Med Biol       Date:  2022-09-13       Impact factor: 4.174

2.  Evolution of the hypoxic compartment on sequential oxygen partial pressure maps during radiochemotherapy in advanced head and neck cancer.

Authors:  Marta Lazzeroni; Ana Ureba; Nicole Wiedenmann; Nils H Nicolay; Michael Mix; Benedikt Thomann; Dimos Baltas; Iuliana Toma-Dasu; Anca L Grosu
Journal:  Phys Imaging Radiat Oncol       Date:  2021-02-11
  2 in total

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