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A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake
Purpose: To demonstrate the relationship between the etiologies of increased diffuse bone marrow (BM) (18)F-FDG uptake and PET/CT imaging/clinical features, as well as to explore a predicting model of BM malignant infiltration (MI) based on decision tree. Methods: 84 patients with increased diffuse...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968761/ https://www.ncbi.nlm.nih.gov/pubmed/29805699 http://dx.doi.org/10.7150/jca.24836 |
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author | Zhou, Mingge Chen, Yumei Liu, Jianjun Huang, Gang |
author_facet | Zhou, Mingge Chen, Yumei Liu, Jianjun Huang, Gang |
author_sort | Zhou, Mingge |
collection | PubMed |
description | Purpose: To demonstrate the relationship between the etiologies of increased diffuse bone marrow (BM) (18)F-FDG uptake and PET/CT imaging/clinical features, as well as to explore a predicting model of BM malignant infiltration (MI) based on decision tree. Methods: 84 patients with increased diffuse BM uptake were retrospectively enrolled. Their complete case record and PET/CT images were reviewed, with the maximal standardized uptake values of bone marrow (SUVmaxBM) and other imaging/clinical features were noted. At the same time, the differences in imaging/clinical features between bone marrow MI and non-MI groups were compared. The decision tree for predicting MI was established by C5.0 component of SPSS Clementine. Results: In patients with homogenously increased BM uptake, 21 patients had MI resulted from leukemia, lymphoma and small cell lung cancer (SCLC). MI group had higher SUVmaxBM than non-MI group (6.7±3.1 vs 4.2±0.9, p=0.001). However, a considerable proportion of MI patients had similar SUVmaxBM to non-MI patients, which were mainly seen in lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (LPL/WM), chronic myeloid leukemia (CML) and multiple myeloma (MM). There were significant differences in other factors between the two groups. MI patients were highly associated with SUVmaxAP/AX≥1 (the ratio of SUVmaxBM of appendicular skeleton to that of axial skeleton), hepatosplenomegaly, older age and lower rate of fever. The decision tree combining SUVmaxBM, SUVmaxAP/AX, fever and hepatosplenomegaly achieved a sensitivity of 81.0%, a specificity of 98.4% and an accuracy of 94.0% for predicting MI. Conclusion: Increased diffuse BM (18)F-FDG uptake can be attributed to both bone marrow MI and benign etiologies. A decision tree based on C5.0 algorithm, combining PET/CT imaging and clinical features, is of potential use in discriminating BM malignant infiltration from patients with increased diffuse BM uptake. |
format | Online Article Text |
id | pubmed-5968761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-59687612018-05-25 A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake Zhou, Mingge Chen, Yumei Liu, Jianjun Huang, Gang J Cancer Research Paper Purpose: To demonstrate the relationship between the etiologies of increased diffuse bone marrow (BM) (18)F-FDG uptake and PET/CT imaging/clinical features, as well as to explore a predicting model of BM malignant infiltration (MI) based on decision tree. Methods: 84 patients with increased diffuse BM uptake were retrospectively enrolled. Their complete case record and PET/CT images were reviewed, with the maximal standardized uptake values of bone marrow (SUVmaxBM) and other imaging/clinical features were noted. At the same time, the differences in imaging/clinical features between bone marrow MI and non-MI groups were compared. The decision tree for predicting MI was established by C5.0 component of SPSS Clementine. Results: In patients with homogenously increased BM uptake, 21 patients had MI resulted from leukemia, lymphoma and small cell lung cancer (SCLC). MI group had higher SUVmaxBM than non-MI group (6.7±3.1 vs 4.2±0.9, p=0.001). However, a considerable proportion of MI patients had similar SUVmaxBM to non-MI patients, which were mainly seen in lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (LPL/WM), chronic myeloid leukemia (CML) and multiple myeloma (MM). There were significant differences in other factors between the two groups. MI patients were highly associated with SUVmaxAP/AX≥1 (the ratio of SUVmaxBM of appendicular skeleton to that of axial skeleton), hepatosplenomegaly, older age and lower rate of fever. The decision tree combining SUVmaxBM, SUVmaxAP/AX, fever and hepatosplenomegaly achieved a sensitivity of 81.0%, a specificity of 98.4% and an accuracy of 94.0% for predicting MI. Conclusion: Increased diffuse BM (18)F-FDG uptake can be attributed to both bone marrow MI and benign etiologies. A decision tree based on C5.0 algorithm, combining PET/CT imaging and clinical features, is of potential use in discriminating BM malignant infiltration from patients with increased diffuse BM uptake. Ivyspring International Publisher 2018-04-19 /pmc/articles/PMC5968761/ /pubmed/29805699 http://dx.doi.org/10.7150/jca.24836 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Zhou, Mingge Chen, Yumei Liu, Jianjun Huang, Gang A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title | A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title_full | A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title_fullStr | A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title_full_unstemmed | A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title_short | A predicting model of bone marrow malignant infiltration in (18)F-FDG PET/CT images with increased diffuse bone marrow FDG uptake |
title_sort | predicting model of bone marrow malignant infiltration in (18)f-fdg pet/ct images with increased diffuse bone marrow fdg uptake |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968761/ https://www.ncbi.nlm.nih.gov/pubmed/29805699 http://dx.doi.org/10.7150/jca.24836 |
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