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Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee
BACKGROUND: Strategies to optimize management in rhabdomyosarcoma (RMS) include risk stratification to assign therapy aiming to minimize treatment morbidity yet improve outcomes. This analysis evaluated the relationship between complete metabolic response (CMR) as assessed by (18)F‐fluorodeoxyglucos...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897958/ https://www.ncbi.nlm.nih.gov/pubmed/33340280 http://dx.doi.org/10.1002/cam4.3667 |
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author | Harrison, Douglas J. Chi, Yueh‐Yun Tian, Jing Hingorani, Pooja Mascarenhas, Leo McCowage, Geoffrey B. Weigel, Brenda J. Venkatramani, Rajkumar Wolden, Suzanne L. Yock, Torunn I. Rodeberg, David A. Hayes‐Jordan, Andrea A. Teot, Lisa A. Spunt, Sheri L. Meyer, William H. Hawkins, Douglas S. Shulkin, Barry L. Parisi, Marguerite T. |
author_facet | Harrison, Douglas J. Chi, Yueh‐Yun Tian, Jing Hingorani, Pooja Mascarenhas, Leo McCowage, Geoffrey B. Weigel, Brenda J. Venkatramani, Rajkumar Wolden, Suzanne L. Yock, Torunn I. Rodeberg, David A. Hayes‐Jordan, Andrea A. Teot, Lisa A. Spunt, Sheri L. Meyer, William H. Hawkins, Douglas S. Shulkin, Barry L. Parisi, Marguerite T. |
author_sort | Harrison, Douglas J. |
collection | PubMed |
description | BACKGROUND: Strategies to optimize management in rhabdomyosarcoma (RMS) include risk stratification to assign therapy aiming to minimize treatment morbidity yet improve outcomes. This analysis evaluated the relationship between complete metabolic response (CMR) as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography (FDG‐PET) imaging and event‐free survival (EFS) in intermediate‐risk (IR) and high‐risk (HR) RMS patients. METHODS: FDG‐PET imaging characteristics, including assessment of CMR and maximum standard uptake values (SUVmax) of the primary tumor, were evaluated by central review. Institutional reports of SUVmax were used when SUVmax values could not be determined by central review. One hundred and thirty IR and 105 HR patients had FDG‐PET scans submitted for central review or had SUVmax data available from institutional report at any time point. A Cox proportional hazards regression model was used to evaluate the relationship between these parameters and EFS. RESULTS: SUVmax at study entry did not correlate with EFS for IR (p = 0.32) or HR (p = 0.86) patients. Compared to patients who did not achieve a CMR, EFS was not superior for IR patients who achieved a CMR at weeks 4 (p = 0.66) or 15 (p = 0.46), nor for HR patients who achieved CMR at week 6 (p = 0.75) or 19 (p = 0.28). Change in SUVmax at week 4 (p = 0.21) or 15 (p = 0.91) for IR patients or at week 6 (p = 0.75) or 19 (p = 0.61) for HR patients did not correlate with EFS. CONCLUSION: Based on these data, FDG‐PET does not appear to predict EFS in IR or HR‐RMS. It remains to be determined whether FDG‐PET has a role in predicting survival outcomes in other RMS subpopulations. |
format | Online Article Text |
id | pubmed-7897958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78979582021-02-23 Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee Harrison, Douglas J. Chi, Yueh‐Yun Tian, Jing Hingorani, Pooja Mascarenhas, Leo McCowage, Geoffrey B. Weigel, Brenda J. Venkatramani, Rajkumar Wolden, Suzanne L. Yock, Torunn I. Rodeberg, David A. Hayes‐Jordan, Andrea A. Teot, Lisa A. Spunt, Sheri L. Meyer, William H. Hawkins, Douglas S. Shulkin, Barry L. Parisi, Marguerite T. Cancer Med Clinical Cancer Research BACKGROUND: Strategies to optimize management in rhabdomyosarcoma (RMS) include risk stratification to assign therapy aiming to minimize treatment morbidity yet improve outcomes. This analysis evaluated the relationship between complete metabolic response (CMR) as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography (FDG‐PET) imaging and event‐free survival (EFS) in intermediate‐risk (IR) and high‐risk (HR) RMS patients. METHODS: FDG‐PET imaging characteristics, including assessment of CMR and maximum standard uptake values (SUVmax) of the primary tumor, were evaluated by central review. Institutional reports of SUVmax were used when SUVmax values could not be determined by central review. One hundred and thirty IR and 105 HR patients had FDG‐PET scans submitted for central review or had SUVmax data available from institutional report at any time point. A Cox proportional hazards regression model was used to evaluate the relationship between these parameters and EFS. RESULTS: SUVmax at study entry did not correlate with EFS for IR (p = 0.32) or HR (p = 0.86) patients. Compared to patients who did not achieve a CMR, EFS was not superior for IR patients who achieved a CMR at weeks 4 (p = 0.66) or 15 (p = 0.46), nor for HR patients who achieved CMR at week 6 (p = 0.75) or 19 (p = 0.28). Change in SUVmax at week 4 (p = 0.21) or 15 (p = 0.91) for IR patients or at week 6 (p = 0.75) or 19 (p = 0.61) for HR patients did not correlate with EFS. CONCLUSION: Based on these data, FDG‐PET does not appear to predict EFS in IR or HR‐RMS. It remains to be determined whether FDG‐PET has a role in predicting survival outcomes in other RMS subpopulations. John Wiley and Sons Inc. 2020-12-19 /pmc/articles/PMC7897958/ /pubmed/33340280 http://dx.doi.org/10.1002/cam4.3667 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Harrison, Douglas J. Chi, Yueh‐Yun Tian, Jing Hingorani, Pooja Mascarenhas, Leo McCowage, Geoffrey B. Weigel, Brenda J. Venkatramani, Rajkumar Wolden, Suzanne L. Yock, Torunn I. Rodeberg, David A. Hayes‐Jordan, Andrea A. Teot, Lisa A. Spunt, Sheri L. Meyer, William H. Hawkins, Douglas S. Shulkin, Barry L. Parisi, Marguerite T. Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title | Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title_full | Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title_fullStr | Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title_full_unstemmed | Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title_short | Metabolic response as assessed by (18)F‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee |
title_sort | metabolic response as assessed by (18)f‐fluorodeoxyglucose positron emission tomography‐computed tomography does not predict outcome in patients with intermediate‐ or high‐risk rhabdomyosarcoma: a report from the children's oncology group soft tissue sarcoma committee |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897958/ https://www.ncbi.nlm.nih.gov/pubmed/33340280 http://dx.doi.org/10.1002/cam4.3667 |
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