Cargando…
The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy
OBJECTIVE: The aim of the study was to assess the impact of clinical and metabolic parameters derived from (18)F-FDG PET/CT (positron emission tomography–computed tomography) in patients with locally advanced cervical cancer (LACC) on prognosis. METHODS: Patients with LACC of stage IB2-IVA treated b...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402502/ https://www.ncbi.nlm.nih.gov/pubmed/35072751 http://dx.doi.org/10.1007/s00066-022-01900-x |
_version_ | 1784773191203291136 |
---|---|
author | Pedraza, Sara Seiffert, Alexander P. Sarandeses, Pilar Muñoz-Lopez, Beatriz Gómez, Enrique J. Sánchez-González, Patricia Pérez-Regadera, José F. |
author_facet | Pedraza, Sara Seiffert, Alexander P. Sarandeses, Pilar Muñoz-Lopez, Beatriz Gómez, Enrique J. Sánchez-González, Patricia Pérez-Regadera, José F. |
author_sort | Pedraza, Sara |
collection | PubMed |
description | OBJECTIVE: The aim of the study was to assess the impact of clinical and metabolic parameters derived from (18)F-FDG PET/CT (positron emission tomography–computed tomography) in patients with locally advanced cervical cancer (LACC) on prognosis. METHODS: Patients with LACC of stage IB2-IVA treated by primary radiochemotherapy followed by brachytherapy were enrolled in this retrospective study. Indexes derived from standardized uptake value (SUV), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and textural features of the primary tumor were measured for each patient. Overall survival (OS) and recurrence-free survival (RFS) rates were calculated according to Kaplan–Meier and survival curves were compared using the log-rank test. Uni- and multivariate analyses were performed using the Cox regression model. RESULTS: A total of 116 patients were included. Median follow-up was 58 months (range: 1–129). A total of 36 (31%) patients died. Five-year OS and RFS rates were 69 and 60%, respectively. Univariate analyses indicated that FIGO stage, the presence of hydronephrosis, high CYFRA 21.1 levels, and textural features had a significant impact on OS and RFS. MTV as well as SCC-Ag concentration were also significantly associated with OS. On multivariate analysis, the presence of hydronephrosis, CYFRA 21.1, and sphericity were independent prognostics factors for OS and RFS. Also, SCC-Ag level, MTV, and GLZLM (gray-level zone length matrix) ZLNU (zone length non-uniformity) were significantly associated with OS. CONCLUSION: Classical prognostic factors and tumor heterogeneity on pretreatment PET/CT were significantly associated with prognosis in patients with LACC. |
format | Online Article Text |
id | pubmed-9402502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94025022022-08-26 The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy Pedraza, Sara Seiffert, Alexander P. Sarandeses, Pilar Muñoz-Lopez, Beatriz Gómez, Enrique J. Sánchez-González, Patricia Pérez-Regadera, José F. Strahlenther Onkol Original Article OBJECTIVE: The aim of the study was to assess the impact of clinical and metabolic parameters derived from (18)F-FDG PET/CT (positron emission tomography–computed tomography) in patients with locally advanced cervical cancer (LACC) on prognosis. METHODS: Patients with LACC of stage IB2-IVA treated by primary radiochemotherapy followed by brachytherapy were enrolled in this retrospective study. Indexes derived from standardized uptake value (SUV), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and textural features of the primary tumor were measured for each patient. Overall survival (OS) and recurrence-free survival (RFS) rates were calculated according to Kaplan–Meier and survival curves were compared using the log-rank test. Uni- and multivariate analyses were performed using the Cox regression model. RESULTS: A total of 116 patients were included. Median follow-up was 58 months (range: 1–129). A total of 36 (31%) patients died. Five-year OS and RFS rates were 69 and 60%, respectively. Univariate analyses indicated that FIGO stage, the presence of hydronephrosis, high CYFRA 21.1 levels, and textural features had a significant impact on OS and RFS. MTV as well as SCC-Ag concentration were also significantly associated with OS. On multivariate analysis, the presence of hydronephrosis, CYFRA 21.1, and sphericity were independent prognostics factors for OS and RFS. Also, SCC-Ag level, MTV, and GLZLM (gray-level zone length matrix) ZLNU (zone length non-uniformity) were significantly associated with OS. CONCLUSION: Classical prognostic factors and tumor heterogeneity on pretreatment PET/CT were significantly associated with prognosis in patients with LACC. Springer Berlin Heidelberg 2022-01-24 2022 /pmc/articles/PMC9402502/ /pubmed/35072751 http://dx.doi.org/10.1007/s00066-022-01900-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Pedraza, Sara Seiffert, Alexander P. Sarandeses, Pilar Muñoz-Lopez, Beatriz Gómez, Enrique J. Sánchez-González, Patricia Pérez-Regadera, José F. The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title | The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title_full | The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title_fullStr | The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title_full_unstemmed | The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title_short | The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
title_sort | value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402502/ https://www.ncbi.nlm.nih.gov/pubmed/35072751 http://dx.doi.org/10.1007/s00066-022-01900-x |
work_keys_str_mv | AT pedrazasara thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT seiffertalexanderp thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT sarandesespilar thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT munozlopezbeatriz thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT gomezenriquej thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT sanchezgonzalezpatricia thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT perezregaderajosef thevalueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT pedrazasara valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT seiffertalexanderp valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT sarandesespilar valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT munozlopezbeatriz valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT gomezenriquej valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT sanchezgonzalezpatricia valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy AT perezregaderajosef valueofmetabolicparametersandtexturalanalysisinpredictingprognosisinlocallyadvancedcervicalcancertreatedwithchemoradiotherapy |