Cargando…

Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas

BACKGROUND: The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Lingmin, Jiang, Peirong, Lin, Danjie, Chen, Xiaodan, Zhong, Tianjin, Zhang, Rufei, Chen, Jing, Song, Yang, Xue, Yunjing, Lin, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696773/
http://dx.doi.org/10.1186/s40644-023-00633-z
_version_ 1785154640361291776
author Zheng, Lingmin
Jiang, Peirong
Lin, Danjie
Chen, Xiaodan
Zhong, Tianjin
Zhang, Rufei
Chen, Jing
Song, Yang
Xue, Yunjing
Lin, Lin
author_facet Zheng, Lingmin
Jiang, Peirong
Lin, Danjie
Chen, Xiaodan
Zhong, Tianjin
Zhang, Rufei
Chen, Jing
Song, Yang
Xue, Yunjing
Lin, Lin
author_sort Zheng, Lingmin
collection PubMed
description BACKGROUND: The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before surgery. METHODS: Forty-seven consecutive patients with pathologically confirmed meningiomas were prospectively enrolled in this study. Two senior neurosurgeons independently evaluated tumour consistency and classified them into soft and hard groups. A volume of interest was placed on the preoperative MR diffusion images to outline the whole tumour area. Histogram parameters (mean, median, 10th percentile, 90th percentile, kurtosis, skewness) were extracted from 6 different diffusion maps including ADC (DWI), D*, D, f (IVIM), alpha and DDC (SEM). Comparisons between two groups were made using Student’s t-Test or Mann-Whitney U test. Parameters with significant differences between the two groups were included for Receiver operating characteristic analysis. The DeLong test was used to compare AUCs. RESULTS: DDC, D* and ADC 10th percentile were significantly lower in hard tumours than in soft tumours (P ≤ 0.05). The alpha 90th percentile was significantly higher in hard tumours than in soft tumours (P < 0.02). For all histogram parameters, the alpha 90th percentile yielded the highest AUC of 0.88, with an accuracy of 85.10%. The D* 10th percentile had a relatively higher AUC value, followed by the DDC and ADC 10th percentile. The alpha 90th percentile had a significantly greater AUC value than the ADC 10th percentile (P ≤ 0.05). The D* 10th percentile had a significantly greater AUC value than the ADC 10th percentile and DDC 10th percentile (P ≤ 0.03). CONCLUSION: Histogram parameters of Alpha and D* may serve as better imaging biomarkers to aid in predicting the consistency of meningioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00633-z.
format Online
Article
Text
id pubmed-10696773
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106967732023-12-06 Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas Zheng, Lingmin Jiang, Peirong Lin, Danjie Chen, Xiaodan Zhong, Tianjin Zhang, Rufei Chen, Jing Song, Yang Xue, Yunjing Lin, Lin Cancer Imaging Research Article BACKGROUND: The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before surgery. METHODS: Forty-seven consecutive patients with pathologically confirmed meningiomas were prospectively enrolled in this study. Two senior neurosurgeons independently evaluated tumour consistency and classified them into soft and hard groups. A volume of interest was placed on the preoperative MR diffusion images to outline the whole tumour area. Histogram parameters (mean, median, 10th percentile, 90th percentile, kurtosis, skewness) were extracted from 6 different diffusion maps including ADC (DWI), D*, D, f (IVIM), alpha and DDC (SEM). Comparisons between two groups were made using Student’s t-Test or Mann-Whitney U test. Parameters with significant differences between the two groups were included for Receiver operating characteristic analysis. The DeLong test was used to compare AUCs. RESULTS: DDC, D* and ADC 10th percentile were significantly lower in hard tumours than in soft tumours (P ≤ 0.05). The alpha 90th percentile was significantly higher in hard tumours than in soft tumours (P < 0.02). For all histogram parameters, the alpha 90th percentile yielded the highest AUC of 0.88, with an accuracy of 85.10%. The D* 10th percentile had a relatively higher AUC value, followed by the DDC and ADC 10th percentile. The alpha 90th percentile had a significantly greater AUC value than the ADC 10th percentile (P ≤ 0.05). The D* 10th percentile had a significantly greater AUC value than the ADC 10th percentile and DDC 10th percentile (P ≤ 0.03). CONCLUSION: Histogram parameters of Alpha and D* may serve as better imaging biomarkers to aid in predicting the consistency of meningioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00633-z. BioMed Central 2023-12-05 /pmc/articles/PMC10696773/ http://dx.doi.org/10.1186/s40644-023-00633-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Zheng, Lingmin
Jiang, Peirong
Lin, Danjie
Chen, Xiaodan
Zhong, Tianjin
Zhang, Rufei
Chen, Jing
Song, Yang
Xue, Yunjing
Lin, Lin
Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title_full Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title_fullStr Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title_full_unstemmed Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title_short Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
title_sort histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted mr imaging in predicting consistency of meningiomas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696773/
http://dx.doi.org/10.1186/s40644-023-00633-z
work_keys_str_mv AT zhenglingmin histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT jiangpeirong histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT lindanjie histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT chenxiaodan histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT zhongtianjin histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT zhangrufei histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT chenjing histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT songyang histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT xueyunjing histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas
AT linlin histogramanalysisofmonoexponentialbiexponentialandstretchedexponentialdiffusionweightedmrimaginginpredictingconsistencyofmeningiomas