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Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma

BACKGROUND: To propose a personalized therapeutic approach in osteosarcoma treatment, we assessed whether sequential [(18)F]FDG PET/CT (PET/CT) could predict the outcome of patients with osteosarcoma of the extremities after one cycle and two cycles of neoadjuvant chemotherapy. METHODS: A total of 7...

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Autores principales: Lee, Inki, Byun, Byung Hyun, Lim, Ilhan, Kim, Byung Il, Choi, Chang Woon, Koh, Jae-Soo, Song, Won Seok, Cho, Wan Hyeong, Kong, Chang-Bae, Lim, Sang Moo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942108/
https://www.ncbi.nlm.nih.gov/pubmed/31900594
http://dx.doi.org/10.1186/s13550-019-0588-4
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author Lee, Inki
Byun, Byung Hyun
Lim, Ilhan
Kim, Byung Il
Choi, Chang Woon
Koh, Jae-Soo
Song, Won Seok
Cho, Wan Hyeong
Kong, Chang-Bae
Lim, Sang Moo
author_facet Lee, Inki
Byun, Byung Hyun
Lim, Ilhan
Kim, Byung Il
Choi, Chang Woon
Koh, Jae-Soo
Song, Won Seok
Cho, Wan Hyeong
Kong, Chang-Bae
Lim, Sang Moo
author_sort Lee, Inki
collection PubMed
description BACKGROUND: To propose a personalized therapeutic approach in osteosarcoma treatment, we assessed whether sequential [(18)F]FDG PET/CT (PET/CT) could predict the outcome of patients with osteosarcoma of the extremities after one cycle and two cycles of neoadjuvant chemotherapy. METHODS: A total of 73 patients with AJCC stage II extremity osteosarcoma treated with 2 cycles of neoadjuvant chemotherapy, surgery, and adjuvant chemotherapy were retrospectively analyzed in this study. All patients underwent PET/CT before (PET0), after 1 cycle (PET1), and after the completion of neoadjuvant chemotherapy (PET2), respectively. Maximum standardized uptake value (SUV(max)) (corrected for body weight) and the % changes of SUV(max) were calculated, and histological responses were evaluated after surgery. Receiver-operating characteristic (ROC) curve analyses and the Cox proportional hazards models were used to analyze whether imaging and clinicopathologic parameters could predict event-free survival (EFS). RESULTS: A total of 36 patients (49.3%) exhibited a poor histologic response and 17 patients (23.3%) showed events (metastasis in 15 and local recurrence in 2). SUV(max) on PET2 (SUV2), the percentage change of SUV(max) between PET0 and PET1 (Δ%SUV01), and between PET0 and PET2 (Δ%SUV02) most accurately predicted events using the ROC curve analysis. SUV2 (relative risk, 8.86; 95% CI, 2.25–34.93), Δ%SUV01 (relative risk, 5.97; 95% CI, 1.47–24.25), and Δ%SUV02 (relative risk, 6.00; 95% CI, 1.16–30.91) were independent predicting factors for EFS with multivariate analysis. Patients with SUV2 over 5.9 or Δ%SUV01 over − 39.8% or Δ%SUV02 over − 54.1% showed worse EFS rates than others (p < 0.05). CONCLUSIONS: PET evaluation after 1 cycle of presurgical chemotherapy can predict the clinical outcome of extremity osteosarcoma. [(18)F]FDG PET, which shows a potential role in the early evaluation of the modification of timing of local control, can be a useful modality for early response monitoring of neoadjuvant chemotherapy.
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spelling pubmed-69421082020-01-16 Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma Lee, Inki Byun, Byung Hyun Lim, Ilhan Kim, Byung Il Choi, Chang Woon Koh, Jae-Soo Song, Won Seok Cho, Wan Hyeong Kong, Chang-Bae Lim, Sang Moo EJNMMI Res Original Research BACKGROUND: To propose a personalized therapeutic approach in osteosarcoma treatment, we assessed whether sequential [(18)F]FDG PET/CT (PET/CT) could predict the outcome of patients with osteosarcoma of the extremities after one cycle and two cycles of neoadjuvant chemotherapy. METHODS: A total of 73 patients with AJCC stage II extremity osteosarcoma treated with 2 cycles of neoadjuvant chemotherapy, surgery, and adjuvant chemotherapy were retrospectively analyzed in this study. All patients underwent PET/CT before (PET0), after 1 cycle (PET1), and after the completion of neoadjuvant chemotherapy (PET2), respectively. Maximum standardized uptake value (SUV(max)) (corrected for body weight) and the % changes of SUV(max) were calculated, and histological responses were evaluated after surgery. Receiver-operating characteristic (ROC) curve analyses and the Cox proportional hazards models were used to analyze whether imaging and clinicopathologic parameters could predict event-free survival (EFS). RESULTS: A total of 36 patients (49.3%) exhibited a poor histologic response and 17 patients (23.3%) showed events (metastasis in 15 and local recurrence in 2). SUV(max) on PET2 (SUV2), the percentage change of SUV(max) between PET0 and PET1 (Δ%SUV01), and between PET0 and PET2 (Δ%SUV02) most accurately predicted events using the ROC curve analysis. SUV2 (relative risk, 8.86; 95% CI, 2.25–34.93), Δ%SUV01 (relative risk, 5.97; 95% CI, 1.47–24.25), and Δ%SUV02 (relative risk, 6.00; 95% CI, 1.16–30.91) were independent predicting factors for EFS with multivariate analysis. Patients with SUV2 over 5.9 or Δ%SUV01 over − 39.8% or Δ%SUV02 over − 54.1% showed worse EFS rates than others (p < 0.05). CONCLUSIONS: PET evaluation after 1 cycle of presurgical chemotherapy can predict the clinical outcome of extremity osteosarcoma. [(18)F]FDG PET, which shows a potential role in the early evaluation of the modification of timing of local control, can be a useful modality for early response monitoring of neoadjuvant chemotherapy. Springer Berlin Heidelberg 2020-01-03 /pmc/articles/PMC6942108/ /pubmed/31900594 http://dx.doi.org/10.1186/s13550-019-0588-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Lee, Inki
Byun, Byung Hyun
Lim, Ilhan
Kim, Byung Il
Choi, Chang Woon
Koh, Jae-Soo
Song, Won Seok
Cho, Wan Hyeong
Kong, Chang-Bae
Lim, Sang Moo
Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title_full Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title_fullStr Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title_full_unstemmed Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title_short Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
title_sort early response monitoring of neoadjuvant chemotherapy using [(18)f]fdg pet can predict the clinical outcome of extremity osteosarcoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942108/
https://www.ncbi.nlm.nih.gov/pubmed/31900594
http://dx.doi.org/10.1186/s13550-019-0588-4
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