Cargando…

A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT

Purpose: We evaluated the imaging and clinical features for discriminating the possibility of metastasis among FDG-avid bone lesions in 18F-FDG PET/CT in patients who have received bone biopsy. Methods: The retrospective study included patients who underwent both (18)F-FDG PET/CT and bone biopsy for...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Guangyu, Zhou, Yiyi, Gu, Yifeng, Wang, Zhiyu, Yang, Mengdi, Sun, Jing, Luo, Quanyong, Zhao, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378926/
https://www.ncbi.nlm.nih.gov/pubmed/32742446
http://dx.doi.org/10.7150/jca.45096
_version_ 1783562528183287808
author Yao, Guangyu
Zhou, Yiyi
Gu, Yifeng
Wang, Zhiyu
Yang, Mengdi
Sun, Jing
Luo, Quanyong
Zhao, Hui
author_facet Yao, Guangyu
Zhou, Yiyi
Gu, Yifeng
Wang, Zhiyu
Yang, Mengdi
Sun, Jing
Luo, Quanyong
Zhao, Hui
author_sort Yao, Guangyu
collection PubMed
description Purpose: We evaluated the imaging and clinical features for discriminating the possibility of metastasis among FDG-avid bone lesions in 18F-FDG PET/CT in patients who have received bone biopsy. Methods: The retrospective study included patients who underwent both (18)F-FDG PET/CT and bone biopsy for FDG-avid bone lesions. Bone lesions maximum standardized uptake value (SUVmax), CT findings, alongside with common clinical features were analyzed. Results: From the 338 patients enrolled in the final study, all of them were received bone biopsy. Biopsies confirm metastasis in 256 cases (75.74%) and benign tissue in 82 cases (24.26%). Metastasis group had higher bone SUVmax than benign group (median 7.9 vs 4.5, p <0.001). A cutoff bone SUVmax of 5 achieved an AUC of 0.748 in all patients. Lytic CT feature and higher age were more likely frequent in metastasis group. Moreover, in patients without obvious CT abnormality (45, 13.31%), the AUC was 0.743 by a SUVmax cutoff of 5.38, whilst in patients with a solitary bone lesion (74, 21.89%), the AUC was 0.803 by a SUVmax cutoff of 4.3. Conclusions: SUVmax is a promising and valuable metabolic indicator for predicting risk of metastasis among FDG-avid bone lesions in 18F-FDG PET/CT, ancillary clinical and imaging features may increase the probability of a metastatic bone lesion.
format Online
Article
Text
id pubmed-7378926
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Ivyspring International Publisher
record_format MEDLINE/PubMed
spelling pubmed-73789262020-07-30 A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT Yao, Guangyu Zhou, Yiyi Gu, Yifeng Wang, Zhiyu Yang, Mengdi Sun, Jing Luo, Quanyong Zhao, Hui J Cancer Research Paper Purpose: We evaluated the imaging and clinical features for discriminating the possibility of metastasis among FDG-avid bone lesions in 18F-FDG PET/CT in patients who have received bone biopsy. Methods: The retrospective study included patients who underwent both (18)F-FDG PET/CT and bone biopsy for FDG-avid bone lesions. Bone lesions maximum standardized uptake value (SUVmax), CT findings, alongside with common clinical features were analyzed. Results: From the 338 patients enrolled in the final study, all of them were received bone biopsy. Biopsies confirm metastasis in 256 cases (75.74%) and benign tissue in 82 cases (24.26%). Metastasis group had higher bone SUVmax than benign group (median 7.9 vs 4.5, p <0.001). A cutoff bone SUVmax of 5 achieved an AUC of 0.748 in all patients. Lytic CT feature and higher age were more likely frequent in metastasis group. Moreover, in patients without obvious CT abnormality (45, 13.31%), the AUC was 0.743 by a SUVmax cutoff of 5.38, whilst in patients with a solitary bone lesion (74, 21.89%), the AUC was 0.803 by a SUVmax cutoff of 4.3. Conclusions: SUVmax is a promising and valuable metabolic indicator for predicting risk of metastasis among FDG-avid bone lesions in 18F-FDG PET/CT, ancillary clinical and imaging features may increase the probability of a metastatic bone lesion. Ivyspring International Publisher 2020-06-21 /pmc/articles/PMC7378926/ /pubmed/32742446 http://dx.doi.org/10.7150/jca.45096 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Yao, Guangyu
Zhou, Yiyi
Gu, Yifeng
Wang, Zhiyu
Yang, Mengdi
Sun, Jing
Luo, Quanyong
Zhao, Hui
A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title_full A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title_fullStr A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title_full_unstemmed A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title_short A Retrospective Study of predicting risk of Metastasis among FDG-avid Bone Lesions in (18)F-FDG PET/CT
title_sort retrospective study of predicting risk of metastasis among fdg-avid bone lesions in (18)f-fdg pet/ct
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378926/
https://www.ncbi.nlm.nih.gov/pubmed/32742446
http://dx.doi.org/10.7150/jca.45096
work_keys_str_mv AT yaoguangyu aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT zhouyiyi aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT guyifeng aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT wangzhiyu aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT yangmengdi aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT sunjing aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT luoquanyong aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT zhaohui aretrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT yaoguangyu retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT zhouyiyi retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT guyifeng retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT wangzhiyu retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT yangmengdi retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT sunjing retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT luoquanyong retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct
AT zhaohui retrospectivestudyofpredictingriskofmetastasisamongfdgavidbonelesionsin18ffdgpetct