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Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease

BACKGROUND: To test the hypothesis that intraventricular ADC values can be used to determine the presence of neoplastic leptomeningeal disease (LMD). MATERIALS AND METHODS: ADC values were measured at multiple sites in the ventricular system in 32 patients with cytologically-proven LMD and 40 contro...

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Autores principales: Debnam, James M., Said, Ryan B., Liu, Heng-Hsiao, Sun, Jia, Wang, Jihong, Wei, Wei, Suki, Dima, Mayer, Rory R., Chi, T. Linda, Ketonen, Leena, Guha-Thakurta, Nandita, Weinberg, Jeffrey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322838/
https://www.ncbi.nlm.nih.gov/pubmed/32600415
http://dx.doi.org/10.1186/s40644-020-00305-2
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author Debnam, James M.
Said, Ryan B.
Liu, Heng-Hsiao
Sun, Jia
Wang, Jihong
Wei, Wei
Suki, Dima
Mayer, Rory R.
Chi, T. Linda
Ketonen, Leena
Guha-Thakurta, Nandita
Weinberg, Jeffrey S.
author_facet Debnam, James M.
Said, Ryan B.
Liu, Heng-Hsiao
Sun, Jia
Wang, Jihong
Wei, Wei
Suki, Dima
Mayer, Rory R.
Chi, T. Linda
Ketonen, Leena
Guha-Thakurta, Nandita
Weinberg, Jeffrey S.
author_sort Debnam, James M.
collection PubMed
description BACKGROUND: To test the hypothesis that intraventricular ADC values can be used to determine the presence of neoplastic leptomeningeal disease (LMD). MATERIALS AND METHODS: ADC values were measured at multiple sites in the ventricular system in 32 patients with cytologically-proven LMD and 40 control subjects. Multiple linear regression analysis was used to determine the mean difference of ADCs between the LMD and control groups after adjusting for ventricle size and tumor type. Receiver operating characteristics (ROC) analysis was performed and optimal ADC value cut-off point for predicting the presence of LMD. ADC was compared to T1 enhancement and FLAIR signal hyperintensity for determining the presence of LMD. RESULTS: After adjusting for ventricular volume and tumor type, the mid body of lateral ventricles showed no significant difference in ventricular volume and a significant difference in ADC values between the control and LMD groups (p > 0.05). In the mid-body of the right lateral ventricle the AUC was 0.69 (95% CI 0.57–0.81) with an optimal ADC cut off point of 3.22 × 10(− 9) m(2)/s (sensitivity, specificity; 0.72, 0.68). In the mid-body of left lateral ventricle the AUC was 0.7 (95% CI 0.58–0.82) with an optimal cut-off point of 3.23 × 10(− 9) m(2)/s (0.81, 0.62). Using an average value of HU measurements in the lateral ventricles the AUC was 0.73 (95% CI 0.61–0.84) with an optimal cut off point was 3.11 × 10(− 9) m(2)/s (0.78, 0.65). Compared to the T1 post-contrast series, ADC was predictive of the presence of LMD in the mid-body of the left lateral ventricle (p = 0.036). CONCLUSION: Complex interactions affect ADC measurements in patients with LMD. ADC values in the lateral ventricles may provide non-invasive clues to the presence of LMD.
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spelling pubmed-73228382020-06-29 Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease Debnam, James M. Said, Ryan B. Liu, Heng-Hsiao Sun, Jia Wang, Jihong Wei, Wei Suki, Dima Mayer, Rory R. Chi, T. Linda Ketonen, Leena Guha-Thakurta, Nandita Weinberg, Jeffrey S. Cancer Imaging Research Article BACKGROUND: To test the hypothesis that intraventricular ADC values can be used to determine the presence of neoplastic leptomeningeal disease (LMD). MATERIALS AND METHODS: ADC values were measured at multiple sites in the ventricular system in 32 patients with cytologically-proven LMD and 40 control subjects. Multiple linear regression analysis was used to determine the mean difference of ADCs between the LMD and control groups after adjusting for ventricle size and tumor type. Receiver operating characteristics (ROC) analysis was performed and optimal ADC value cut-off point for predicting the presence of LMD. ADC was compared to T1 enhancement and FLAIR signal hyperintensity for determining the presence of LMD. RESULTS: After adjusting for ventricular volume and tumor type, the mid body of lateral ventricles showed no significant difference in ventricular volume and a significant difference in ADC values between the control and LMD groups (p > 0.05). In the mid-body of the right lateral ventricle the AUC was 0.69 (95% CI 0.57–0.81) with an optimal ADC cut off point of 3.22 × 10(− 9) m(2)/s (sensitivity, specificity; 0.72, 0.68). In the mid-body of left lateral ventricle the AUC was 0.7 (95% CI 0.58–0.82) with an optimal cut-off point of 3.23 × 10(− 9) m(2)/s (0.81, 0.62). Using an average value of HU measurements in the lateral ventricles the AUC was 0.73 (95% CI 0.61–0.84) with an optimal cut off point was 3.11 × 10(− 9) m(2)/s (0.78, 0.65). Compared to the T1 post-contrast series, ADC was predictive of the presence of LMD in the mid-body of the left lateral ventricle (p = 0.036). CONCLUSION: Complex interactions affect ADC measurements in patients with LMD. ADC values in the lateral ventricles may provide non-invasive clues to the presence of LMD. BioMed Central 2020-06-29 /pmc/articles/PMC7322838/ /pubmed/32600415 http://dx.doi.org/10.1186/s40644-020-00305-2 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Debnam, James M.
Said, Ryan B.
Liu, Heng-Hsiao
Sun, Jia
Wang, Jihong
Wei, Wei
Suki, Dima
Mayer, Rory R.
Chi, T. Linda
Ketonen, Leena
Guha-Thakurta, Nandita
Weinberg, Jeffrey S.
Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title_full Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title_fullStr Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title_full_unstemmed Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title_short Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
title_sort ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322838/
https://www.ncbi.nlm.nih.gov/pubmed/32600415
http://dx.doi.org/10.1186/s40644-020-00305-2
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