Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease

Abstract 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...

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Main Authors: James M. Debnam, Ryan B. Said, Heng-Hsiao Liu, Jia Sun, Jihong Wang, Wei Wei, Dima Suki, Rory R. Mayer, T. Linda Chi, Leena Ketonen, Nandita Guha-Thakurta, Jeffrey S. Weinberg
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Cancer Imaging
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40644-020-00305-2
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author James M. Debnam
Ryan B. Said
Heng-Hsiao Liu
Jia Sun
Jihong Wang
Wei Wei
Dima Suki
Rory R. Mayer
T. Linda Chi
Leena Ketonen
Nandita Guha-Thakurta
Jeffrey S. Weinberg
author_facet James M. Debnam
Ryan B. Said
Heng-Hsiao Liu
Jia Sun
Jihong Wang
Wei Wei
Dima Suki
Rory R. Mayer
T. Linda Chi
Leena Ketonen
Nandita Guha-Thakurta
Jeffrey S. Weinberg
author_sort James M. Debnam
collection DOAJ
description Abstract 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 m2/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 m2/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 m2/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 doaj.art-f42071d60606493eab3b102e290c65ce2022-12-21T17:13:17ZengBMCCancer Imaging1470-73302020-06-0120111110.1186/s40644-020-00305-2Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal diseaseJames M. Debnam0Ryan B. Said1Heng-Hsiao Liu2Jia Sun3Jihong Wang4Wei Wei5Dima Suki6Rory R. Mayer7T. Linda Chi8Leena Ketonen9Nandita Guha-Thakurta10Jeffrey S. Weinberg11Department of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Biostatistics, The University of Texas MD Anderson Cancer CenterDepartment of Radiation Physics, The University of Texas MD Anderson Cancer CenterDepartment of Biostatistics, The University of Texas MD Anderson Cancer CenterDepartment of Neurosurgery, The University of Texas MD Anderson Cancer CenterDepartment of Neurosurgery, University of California San FranciscoDepartment of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Neuroradiology, The University of Texas MD Anderson Cancer CenterDepartment of Neurosurgery, The University of Texas MD Anderson Cancer CenterAbstract 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 m2/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 m2/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 m2/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.http://link.springer.com/article/10.1186/s40644-020-00305-2Apparent diffusion coefficientVentriclesCerebrospinal fluidMagnetic resonance imaging
spellingShingle James M. Debnam
Ryan B. Said
Heng-Hsiao Liu
Jia Sun
Jihong Wang
Wei Wei
Dima Suki
Rory R. Mayer
T. Linda Chi
Leena Ketonen
Nandita Guha-Thakurta
Jeffrey S. Weinberg
Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease
Cancer Imaging
Apparent diffusion coefficient
Ventricles
Cerebrospinal fluid
Magnetic resonance imaging
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 Apparent diffusion coefficient
Ventricles
Cerebrospinal fluid
Magnetic resonance imaging
url http://link.springer.com/article/10.1186/s40644-020-00305-2
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