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[(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma
Renal Cell Carcinoma (RCC) is generally characterized by low-FDG avidity, and [(18)F]FDG-PET/CT is not recommended to stage the primary tumor. However, its role to assess metastases is still unclear. The aim of this study was to evaluate the diagnostic accuracy of [(18)F]FDG-PET/CT in correctly iden...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962353/ https://www.ncbi.nlm.nih.gov/pubmed/36828383 http://dx.doi.org/10.3390/tomography9010031 |
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author | Airò Farulla, Lighea Simona Travaini, Laura Lavinia Cuomo, Mariarosaria Galetta, Domenico Mattana, Francesco Frassoni, Samuele Buonsanti, Giuseppe Muraglia, Lorenzo Zuccotti, Giulia Anna Bagnardi, Vincenzo Spaggiari, Lorenzo Ceci, Francesco |
author_facet | Airò Farulla, Lighea Simona Travaini, Laura Lavinia Cuomo, Mariarosaria Galetta, Domenico Mattana, Francesco Frassoni, Samuele Buonsanti, Giuseppe Muraglia, Lorenzo Zuccotti, Giulia Anna Bagnardi, Vincenzo Spaggiari, Lorenzo Ceci, Francesco |
author_sort | Airò Farulla, Lighea Simona |
collection | PubMed |
description | Renal Cell Carcinoma (RCC) is generally characterized by low-FDG avidity, and [(18)F]FDG-PET/CT is not recommended to stage the primary tumor. However, its role to assess metastases is still unclear. The aim of this study was to evaluate the diagnostic accuracy of [(18)F]FDG-PET/CT in correctly identifying RCC lung metastases using histology as the standard of truth. The records of 350 patients affected by RCC were retrospectively analyzed. The inclusion criteria were: (a) biopsy- or histologically proven RCC; (b) Computed Tomography (CT) evidence of at least one lung nodule; (c) [(18)F]FDG-PET/CT performed prior to lung surgery; (d) lung surgery with histological analysis of surgical specimens; (e) complete follow-up available. A per-lesion analysis was performed, and diagnostic accuracy was reported as sensitivity and specificity, using histology as the standard of truth. [(18)F]FDG-PET/CT semiquantitative parameters (Standardized Uptake Value [SUVmax], Metabolic Tumor Volume [MTV] and Total Lesion Glycolysis [TLG]) were collected for each lesion. Sixty-seven patients with a total of 107 lesions were included: lung metastases from RCC were detected in 57 cases (53.3%), while 50 lesions (46.7%) were related to other lung malignancies. Applying a cut-off of SUVmax ≥ 2, the sensitivity and the specificity of [(18)F]FDG-PET/CT in detecting RCC lung metastases were 33.3% (95% CI: 21.4–47.1%) and 26% (95%CI: 14.6–40.3%), respectively. Although the analysis demonstrated a suboptimal diagnostic accuracy of [(18)F]FDG-PET/CT in discriminating between lung metastases from RCC and other malignancies, a semiquantitative analysis that also includes volumetric parameters (MTV and TLG) could support the correct interpretation of [(18)F]FDG-PET/CT images. |
format | Online Article Text |
id | pubmed-9962353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99623532023-02-26 [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma Airò Farulla, Lighea Simona Travaini, Laura Lavinia Cuomo, Mariarosaria Galetta, Domenico Mattana, Francesco Frassoni, Samuele Buonsanti, Giuseppe Muraglia, Lorenzo Zuccotti, Giulia Anna Bagnardi, Vincenzo Spaggiari, Lorenzo Ceci, Francesco Tomography Article Renal Cell Carcinoma (RCC) is generally characterized by low-FDG avidity, and [(18)F]FDG-PET/CT is not recommended to stage the primary tumor. However, its role to assess metastases is still unclear. The aim of this study was to evaluate the diagnostic accuracy of [(18)F]FDG-PET/CT in correctly identifying RCC lung metastases using histology as the standard of truth. The records of 350 patients affected by RCC were retrospectively analyzed. The inclusion criteria were: (a) biopsy- or histologically proven RCC; (b) Computed Tomography (CT) evidence of at least one lung nodule; (c) [(18)F]FDG-PET/CT performed prior to lung surgery; (d) lung surgery with histological analysis of surgical specimens; (e) complete follow-up available. A per-lesion analysis was performed, and diagnostic accuracy was reported as sensitivity and specificity, using histology as the standard of truth. [(18)F]FDG-PET/CT semiquantitative parameters (Standardized Uptake Value [SUVmax], Metabolic Tumor Volume [MTV] and Total Lesion Glycolysis [TLG]) were collected for each lesion. Sixty-seven patients with a total of 107 lesions were included: lung metastases from RCC were detected in 57 cases (53.3%), while 50 lesions (46.7%) were related to other lung malignancies. Applying a cut-off of SUVmax ≥ 2, the sensitivity and the specificity of [(18)F]FDG-PET/CT in detecting RCC lung metastases were 33.3% (95% CI: 21.4–47.1%) and 26% (95%CI: 14.6–40.3%), respectively. Although the analysis demonstrated a suboptimal diagnostic accuracy of [(18)F]FDG-PET/CT in discriminating between lung metastases from RCC and other malignancies, a semiquantitative analysis that also includes volumetric parameters (MTV and TLG) could support the correct interpretation of [(18)F]FDG-PET/CT images. MDPI 2023-02-10 /pmc/articles/PMC9962353/ /pubmed/36828383 http://dx.doi.org/10.3390/tomography9010031 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Airò Farulla, Lighea Simona Travaini, Laura Lavinia Cuomo, Mariarosaria Galetta, Domenico Mattana, Francesco Frassoni, Samuele Buonsanti, Giuseppe Muraglia, Lorenzo Zuccotti, Giulia Anna Bagnardi, Vincenzo Spaggiari, Lorenzo Ceci, Francesco [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title | [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title_full | [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title_fullStr | [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title_full_unstemmed | [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title_short | [(18)F]FDG PET/CT: Lung Nodule Evaluation in Patients Affected by Renal Cell Carcinoma |
title_sort | [(18)f]fdg pet/ct: lung nodule evaluation in patients affected by renal cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962353/ https://www.ncbi.nlm.nih.gov/pubmed/36828383 http://dx.doi.org/10.3390/tomography9010031 |
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