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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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