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Prognostic role of positron emission tomography and computed tomography parameters in stage I lung adenocarcinoma Cover

Prognostic role of positron emission tomography and computed tomography parameters in stage I lung adenocarcinoma

Open Access
|May 2020

Abstract

Background

According to the current pathological classification, lung adenocarcinoma includes histological subtypes with significantly different prognoses, which may require specific surgical approaches. The aim of the study was to assess the role of CT and PET parameters in stratifying patients with stage I adenocarcinoma according to prognosis.

Patients and methods

Fifty-eight patients with pathological stage I lung adenocarcinoma who underwent surgical treatment were retrospectively reviewed. Adenocarcinoma in situ and minimally-invasive adenocarcinoma were grouped as non-invasive adenocarcinoma. Other histotypes were referred as invasive adenocarcinoma. CT scan assessed parameters were: ground glass opacity (GGO) ratio, tumour disappearance rate (TDR) and consolidation diameter. The prognostic role of the following PET parameters was also assessed: standardized uptake value (SUV) max, SUVindex (SUVmax to liver SUVratio), metabolic tumour volume (MTV), total lesion glycolysis (TLG).

Results

Seven patients had a non-invasive adenocarcinoma and 51 an invasive adenocarcinoma. Five-year disease-free survival (DFS) and cancer-specific survival (CSS) for non-invasive and invasive adenocarcinoma were 100% and 100%, 70% and 91%, respectively. Univariate analysis showed a significant difference in SUVmax, SUVindex, GGO ratio and TDR ratio values between non-invasive and invasive adenocarcinoma groups. Optimal SUVmax, SUVindex, GGO ratio and TDR cut-off ratios to predict invasive tumours were 2.6, 0.9, 40% and 56%, respectively. TLG, SUVmax, SUVindex significantly correlated with cancer specific survival.

Conclusions

CT and PET scan parameters may differentiate between non-invasive and invasive stage I adenocarcinomas. If these data are confirmed in larger series, surgical strategy may be selected on the basis of preoperative imaging.

DOI: https://doi.org/10.2478/raon-2020-0034 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 278 - 284
Submitted on: Feb 4, 2020
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Accepted on: May 4, 2020
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Published on: May 28, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Angelo Carretta, Alessandro Bandiera, Piergiorgio Muriana, Stefano Viscardi, Paola Ciriaco, Ana Maria Samanes Gajate, Gianluigi Arrigoni, Chiara Lazzari, Vanesa Gregorc, Giampiero Negri, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.