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Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies

OBJECTIVE: To compare the diagnostic accuracy of diffusion-weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for differentiating pulmonary nodules and masses. METHODS: We systematically searched six databases, including PubMed, EMBASE...

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Autores principales: Liu, Jieqiong, Xia, Xiaoying, Zou, Qiao, Xie, Xiaobin, Lei, Yongxia, Wan, Qi, Li, Xinchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007793/
https://www.ncbi.nlm.nih.gov/pubmed/36899303
http://dx.doi.org/10.1186/s12880-023-00990-y
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author Liu, Jieqiong
Xia, Xiaoying
Zou, Qiao
Xie, Xiaobin
Lei, Yongxia
Wan, Qi
Li, Xinchun
author_facet Liu, Jieqiong
Xia, Xiaoying
Zou, Qiao
Xie, Xiaobin
Lei, Yongxia
Wan, Qi
Li, Xinchun
author_sort Liu, Jieqiong
collection PubMed
description OBJECTIVE: To compare the diagnostic accuracy of diffusion-weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for differentiating pulmonary nodules and masses. METHODS: We systematically searched six databases, including PubMed, EMBASE, the Cochrane Library, and three Chinese databases, to identify studies that used both DWI and PET/CT to differentiate pulmonary nodules. The diagnostic performance of DWI and PET/CT was compared and pooled sensitivity and specificity were calculated along with 95% confidence intervals (CIs). The Quality Assessment of Diagnostic Accuracy Studies 2 was used to assess the quality of the included studies, and STATA 16.0 software was utilized to perform statistical analysis. RESULTS: Overall, 10 studies that enrolled a total of 871 patients with 948 pulmonary nodules were included in this meta-analysis. DWI had greater pooled sensitivity (0.85 [95% CI 0.77–0.90]) and specificity (0.91 [95% CI 0.82–0.96]) than PET/CT (sensitivity, 0.82 [95% CI 0.70–0.90]); specificity, (0.81, [95% CI 0.72–0.87]). The area under the curve of DWI and PET/CT were 0.94 (95% CI 0.91–0.96) and 0.87 (95% CI 0.84–0.90) (Z = 1.58, P > 0.05), respectively. The diagnostic odds ratio of DWI (54.46, [95% CI 17.98–164.99]) was superior to that of PET/CT (15.77, [95% CI 8.19–30.37]). The Deeks’ funnel plot asymmetry test showed no publication bias. The Spearman correlation coefficient test revealed no significant threshold effect. Lesion diameter and reference standard could be potential causes for the heterogeneity of both DWI and PET/CT studies, and quantitative or semi-quantitative parameters used would be a potential source of bias for PET/CT studies. CONCLUSION: As a radiation-free technique, DWI may have similar performance compare with PET/CT in differentiating malignant pulmonary nodules or masses from benign ones. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-023-00990-y.
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spelling pubmed-100077932023-03-12 Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies Liu, Jieqiong Xia, Xiaoying Zou, Qiao Xie, Xiaobin Lei, Yongxia Wan, Qi Li, Xinchun BMC Med Imaging Research OBJECTIVE: To compare the diagnostic accuracy of diffusion-weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for differentiating pulmonary nodules and masses. METHODS: We systematically searched six databases, including PubMed, EMBASE, the Cochrane Library, and three Chinese databases, to identify studies that used both DWI and PET/CT to differentiate pulmonary nodules. The diagnostic performance of DWI and PET/CT was compared and pooled sensitivity and specificity were calculated along with 95% confidence intervals (CIs). The Quality Assessment of Diagnostic Accuracy Studies 2 was used to assess the quality of the included studies, and STATA 16.0 software was utilized to perform statistical analysis. RESULTS: Overall, 10 studies that enrolled a total of 871 patients with 948 pulmonary nodules were included in this meta-analysis. DWI had greater pooled sensitivity (0.85 [95% CI 0.77–0.90]) and specificity (0.91 [95% CI 0.82–0.96]) than PET/CT (sensitivity, 0.82 [95% CI 0.70–0.90]); specificity, (0.81, [95% CI 0.72–0.87]). The area under the curve of DWI and PET/CT were 0.94 (95% CI 0.91–0.96) and 0.87 (95% CI 0.84–0.90) (Z = 1.58, P > 0.05), respectively. The diagnostic odds ratio of DWI (54.46, [95% CI 17.98–164.99]) was superior to that of PET/CT (15.77, [95% CI 8.19–30.37]). The Deeks’ funnel plot asymmetry test showed no publication bias. The Spearman correlation coefficient test revealed no significant threshold effect. Lesion diameter and reference standard could be potential causes for the heterogeneity of both DWI and PET/CT studies, and quantitative or semi-quantitative parameters used would be a potential source of bias for PET/CT studies. CONCLUSION: As a radiation-free technique, DWI may have similar performance compare with PET/CT in differentiating malignant pulmonary nodules or masses from benign ones. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-023-00990-y. BioMed Central 2023-03-10 /pmc/articles/PMC10007793/ /pubmed/36899303 http://dx.doi.org/10.1186/s12880-023-00990-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Jieqiong
Xia, Xiaoying
Zou, Qiao
Xie, Xiaobin
Lei, Yongxia
Wan, Qi
Li, Xinchun
Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title_full Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title_fullStr Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title_full_unstemmed Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title_short Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
title_sort diagnostic performance of diffusion-weighted imaging versus 18f-fdg pet/ct in differentiating pulmonary lesions: an updated meta-analysis of comparative studies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007793/
https://www.ncbi.nlm.nih.gov/pubmed/36899303
http://dx.doi.org/10.1186/s12880-023-00990-y
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