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Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling
BACKGROUND: There have been no evidence-based guidelines on the optimal schedule for the radiological assessment of 1p/19q-codeleted glioma. This study aimed to recommend an appropriate radiological evaluation schedule for 1p/19q-codeleted glioma during the surveillance period through parametric mod...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284622/ https://www.ncbi.nlm.nih.gov/pubmed/34286277 http://dx.doi.org/10.1093/noajnl/vdab069 |
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author | Kang, Ho Lee, Jongjin Ji, So Young Choi, Seung Won Kim, Kyung-Min Lee, Joo Ho Lee, Soon-Tae Won, Jae Kyung Kim, Tae Min Choi, Seung Hong Park, Sung-Hye Moon, Kyung-Sub Kim, Chae-Yong Yoo, Heon Nam, Do-Hyun Kim, Jeong Hoon Kim, Yongdai Park, Chul-Kee |
author_facet | Kang, Ho Lee, Jongjin Ji, So Young Choi, Seung Won Kim, Kyung-Min Lee, Joo Ho Lee, Soon-Tae Won, Jae Kyung Kim, Tae Min Choi, Seung Hong Park, Sung-Hye Moon, Kyung-Sub Kim, Chae-Yong Yoo, Heon Nam, Do-Hyun Kim, Jeong Hoon Kim, Yongdai Park, Chul-Kee |
author_sort | Kang, Ho |
collection | PubMed |
description | BACKGROUND: There have been no evidence-based guidelines on the optimal schedule for the radiological assessment of 1p/19q-codeleted glioma. This study aimed to recommend an appropriate radiological evaluation schedule for 1p/19q-codeleted glioma during the surveillance period through parametric modeling of the progression-free survival (PFS) curve. METHODS: A total of 234 patients with 1p/19q-codeleted glioma (137 grade II and 97 grade III) who completed regular treatment were retrospectively reviewed. The patients were stratified into each layered progression risk group by recursive partitioning analysis. A piecewise exponential model was used to standardize the PFS curves. The cutoff value of the progression rate among the remaining progression-free patients was set to 10% at each scan. RESULTS: Progression risk stratification resulted in 3 groups. The optimal magnetic resonance imaging (MRI) interval for patients without a residual tumor was every 91.2 weeks until 720 weeks after the end of regular treatment following the latent period for 15 weeks. For patients with a residual tumor after the completion of adjuvant radiotherapy followed by chemotherapy, the optimal MRI interval was every 37.5 weeks until week 90 and every 132.8 weeks until week 361, while it was every 33.6 weeks until week 210 and every 14.4 weeks until week 495 for patients with a residual tumor after surgery only or surgery followed by radiotherapy only. CONCLUSIONS: The optimal radiological follow-up schedule for each progression risk stratification of 1p/19q-codeleted glioma can be established from the parametric modeling of PFS. |
format | Online Article Text |
id | pubmed-8284622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82846222021-07-19 Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling Kang, Ho Lee, Jongjin Ji, So Young Choi, Seung Won Kim, Kyung-Min Lee, Joo Ho Lee, Soon-Tae Won, Jae Kyung Kim, Tae Min Choi, Seung Hong Park, Sung-Hye Moon, Kyung-Sub Kim, Chae-Yong Yoo, Heon Nam, Do-Hyun Kim, Jeong Hoon Kim, Yongdai Park, Chul-Kee Neurooncol Adv Clinical Investigations BACKGROUND: There have been no evidence-based guidelines on the optimal schedule for the radiological assessment of 1p/19q-codeleted glioma. This study aimed to recommend an appropriate radiological evaluation schedule for 1p/19q-codeleted glioma during the surveillance period through parametric modeling of the progression-free survival (PFS) curve. METHODS: A total of 234 patients with 1p/19q-codeleted glioma (137 grade II and 97 grade III) who completed regular treatment were retrospectively reviewed. The patients were stratified into each layered progression risk group by recursive partitioning analysis. A piecewise exponential model was used to standardize the PFS curves. The cutoff value of the progression rate among the remaining progression-free patients was set to 10% at each scan. RESULTS: Progression risk stratification resulted in 3 groups. The optimal magnetic resonance imaging (MRI) interval for patients without a residual tumor was every 91.2 weeks until 720 weeks after the end of regular treatment following the latent period for 15 weeks. For patients with a residual tumor after the completion of adjuvant radiotherapy followed by chemotherapy, the optimal MRI interval was every 37.5 weeks until week 90 and every 132.8 weeks until week 361, while it was every 33.6 weeks until week 210 and every 14.4 weeks until week 495 for patients with a residual tumor after surgery only or surgery followed by radiotherapy only. CONCLUSIONS: The optimal radiological follow-up schedule for each progression risk stratification of 1p/19q-codeleted glioma can be established from the parametric modeling of PFS. Oxford University Press 2021-05-20 /pmc/articles/PMC8284622/ /pubmed/34286277 http://dx.doi.org/10.1093/noajnl/vdab069 Text en © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Investigations Kang, Ho Lee, Jongjin Ji, So Young Choi, Seung Won Kim, Kyung-Min Lee, Joo Ho Lee, Soon-Tae Won, Jae Kyung Kim, Tae Min Choi, Seung Hong Park, Sung-Hye Moon, Kyung-Sub Kim, Chae-Yong Yoo, Heon Nam, Do-Hyun Kim, Jeong Hoon Kim, Yongdai Park, Chul-Kee Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title | Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title_full | Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title_fullStr | Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title_full_unstemmed | Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title_short | Radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
title_sort | radiological assessment schedule for 1p/19q-codeleted gliomas during the surveillance period using parametric modeling |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284622/ https://www.ncbi.nlm.nih.gov/pubmed/34286277 http://dx.doi.org/10.1093/noajnl/vdab069 |
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