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What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer?
BACKGROUND: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear. MATERIAL AND METHODS: This retrospective cohort study included 416 women (median age: 43 years) diagnosed with ce...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206052/ https://www.ncbi.nlm.nih.gov/pubmed/35715582 http://dx.doi.org/10.1186/s13244-022-01239-y |
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author | Lura, Njål Wagner-Larsen, Kari S. Forsse, David Trovik, Jone Halle, Mari K. Bertelsen, Bjørn I. Salvesen, Øyvind Woie, Kathrine Krakstad, Camilla Haldorsen, Ingfrid S. |
author_facet | Lura, Njål Wagner-Larsen, Kari S. Forsse, David Trovik, Jone Halle, Mari K. Bertelsen, Bjørn I. Salvesen, Øyvind Woie, Kathrine Krakstad, Camilla Haldorsen, Ingfrid S. |
author_sort | Lura, Njål |
collection | PubMed |
description | BACKGROUND: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear. MATERIAL AND METHODS: This retrospective cohort study included 416 women (median age: 43 years) diagnosed with cervical cancer during 2002–2017 who underwent pretreatment pelvic MRI. The MRIs were independently read by three radiologists, measuring maximum tumor diameters in three orthogonal planes and maximum diameter irrespective of plane (MAX(imaging)). Inter-reader agreement for tumor size measurements was assessed by intraclass correlation coefficients (ICCs). Size was analyzed in relation to age, International Federation of Gynecology and Obstetrics (FIGO) (2018) stage, histopathological markers, and disease-specific survival using Kaplan–Meier-, Cox regression-, and time-dependent receiver operating characteristics (tdROC) analyses. RESULTS: All MRI tumor size variables (cm) yielded high areas under the tdROC curves (AUCs) for predicting survival (AUC 0.81–0.84) at 5 years after diagnosis and predicted outcome (hazard ratios [HRs] of 1.42–1.76, p < 0.001 for all). Only MAX(imaging) independently predicted survival (HR = 1.51, p = 0.03) in the model including all size variables. The optimal cutoff for maximum tumor diameter (≥ 4.0 cm) yielded sensitivity (specificity) of 83% (73%) for predicting disease-specific death after 5 years. Inter-reader agreement for MRI-based primary tumor size measurements was excellent, with ICCs of 0.83–0.85. CONCLUSION: Among all MRI-derived tumor size measurements, MAX(imaging) was the only independent predictor of survival. MAX(imaging) ≥ 4.0 cm represents the optimal cutoff for predicting long-term disease-specific survival in cervical cancer. Inter-reader agreement for MRI-based tumor size measurements was excellent. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-022-01239-y. |
format | Online Article Text |
id | pubmed-9206052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-92060522022-06-19 What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? Lura, Njål Wagner-Larsen, Kari S. Forsse, David Trovik, Jone Halle, Mari K. Bertelsen, Bjørn I. Salvesen, Øyvind Woie, Kathrine Krakstad, Camilla Haldorsen, Ingfrid S. Insights Imaging Original Article BACKGROUND: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear. MATERIAL AND METHODS: This retrospective cohort study included 416 women (median age: 43 years) diagnosed with cervical cancer during 2002–2017 who underwent pretreatment pelvic MRI. The MRIs were independently read by three radiologists, measuring maximum tumor diameters in three orthogonal planes and maximum diameter irrespective of plane (MAX(imaging)). Inter-reader agreement for tumor size measurements was assessed by intraclass correlation coefficients (ICCs). Size was analyzed in relation to age, International Federation of Gynecology and Obstetrics (FIGO) (2018) stage, histopathological markers, and disease-specific survival using Kaplan–Meier-, Cox regression-, and time-dependent receiver operating characteristics (tdROC) analyses. RESULTS: All MRI tumor size variables (cm) yielded high areas under the tdROC curves (AUCs) for predicting survival (AUC 0.81–0.84) at 5 years after diagnosis and predicted outcome (hazard ratios [HRs] of 1.42–1.76, p < 0.001 for all). Only MAX(imaging) independently predicted survival (HR = 1.51, p = 0.03) in the model including all size variables. The optimal cutoff for maximum tumor diameter (≥ 4.0 cm) yielded sensitivity (specificity) of 83% (73%) for predicting disease-specific death after 5 years. Inter-reader agreement for MRI-based primary tumor size measurements was excellent, with ICCs of 0.83–0.85. CONCLUSION: Among all MRI-derived tumor size measurements, MAX(imaging) was the only independent predictor of survival. MAX(imaging) ≥ 4.0 cm represents the optimal cutoff for predicting long-term disease-specific survival in cervical cancer. Inter-reader agreement for MRI-based tumor size measurements was excellent. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-022-01239-y. Springer Vienna 2022-06-17 /pmc/articles/PMC9206052/ /pubmed/35715582 http://dx.doi.org/10.1186/s13244-022-01239-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Lura, Njål Wagner-Larsen, Kari S. Forsse, David Trovik, Jone Halle, Mari K. Bertelsen, Bjørn I. Salvesen, Øyvind Woie, Kathrine Krakstad, Camilla Haldorsen, Ingfrid S. What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title | What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title_full | What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title_fullStr | What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title_full_unstemmed | What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title_short | What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
title_sort | what mri-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206052/ https://www.ncbi.nlm.nih.gov/pubmed/35715582 http://dx.doi.org/10.1186/s13244-022-01239-y |
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