Next Article in Journal
DECT Numbers in Upper Abdominal Organs for Differential Diagnosis: A Feasibility Study
Previous Article in Journal
Identification of the Benignity and Malignancy of BI-RADS 4 Breast Lesions Based on a Combined Quantitative Model of Dynamic Contrast-Enhanced MRI and Intravoxel Incoherent Motion
Previous Article in Special Issue
Clinical Value of Diffusion-Weighted Whole-Body Imaging with Background Body Signal Suppression (DWIBS) for Staging of Patients with Suspected Head and Neck Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing

1
Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
2
Radiology, Weill Cornell Medicine, New York, NY 10065, USA
*
Author to whom correspondence should be addressed.
Tomography 2022, 8(6), 2687-2697; https://doi.org/10.3390/tomography8060224
Submission received: 20 September 2022 / Revised: 27 October 2022 / Accepted: 31 October 2022 / Published: 3 November 2022
(This article belongs to the Special Issue New Advances in Medical Imaging and Applied Radiology in Cancers)

Abstract

There is no noninvasive method to estimate lung shunting fraction (LSF) in patients with liver tumors undergoing Yttrium-90 (Y90) therapy. We propose to predict LSF from noninvasive dynamic contrast enhanced (DCE) MRI using perfusion quantification. Two perfusion quantification methods were used to process DCE MRI in 25 liver tumor patients: Kety’s tracer kinetic modeling with a delay-fitted global arterial input function (AIF) and quantitative transport mapping (QTM) based on the inversion of transport equation using spatial deconvolution without AIF. LSF was measured on SPECT following Tc-99m macroaggregated albumin (MAA) administration via hepatic arterial catheter. The patient cohort was partitioned into a low-risk group (LSF  10%) and a high-risk group (LSF > 10%). Results: In this patient cohort, LSF was positively correlated with QTM velocity |u| (r = 0.61, F = 14.0363, p = 0.0021), and no significant correlation was observed with Kety’s parameters, tumor volume, patient age and gender. Between the low LSF and high LSF groups, there was a significant difference for QTM |u| (0.0760 ± 0.0440 vs. 0.1822 ± 0.1225 mm/s, p = 0.0011), and Kety’s Ktrans (0.0401 ± 0.0360 vs 0.1198 ± 0.3048, p = 0.0471) and Ve (0.0900 ± 0.0307 vs. 0.1495 ± 0.0485, p = 0.0114). The area under the curve (AUC) for distinguishing between low LSF and high LSF was 0.87 for |u|, 0.80 for Ve and 0.74 for Ktrans. Noninvasive prediction of LSF is feasible from DCE MRI with QTM velocity postprocessing.
Keywords: dynamic contrast enhanced MRI; lung shunting fraction; Yttrium-90 treatment; hepatocellular carcinoma; quantitative transport mapping dynamic contrast enhanced MRI; lung shunting fraction; Yttrium-90 treatment; hepatocellular carcinoma; quantitative transport mapping

Share and Cite

MDPI and ACS Style

Zhang, Q.; Lee, K.S.; Talenfeld, A.D.; Spincemaille, P.; Prince, M.R.; Wang, Y. Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing. Tomography 2022, 8, 2687-2697. https://doi.org/10.3390/tomography8060224

AMA Style

Zhang Q, Lee KS, Talenfeld AD, Spincemaille P, Prince MR, Wang Y. Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing. Tomography. 2022; 8(6):2687-2697. https://doi.org/10.3390/tomography8060224

Chicago/Turabian Style

Zhang, Qihao, Kyungmouk Steve Lee, Adam D. Talenfeld, Pascal Spincemaille, Martin R. Prince, and Yi Wang. 2022. "Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing" Tomography 8, no. 6: 2687-2697. https://doi.org/10.3390/tomography8060224

APA Style

Zhang, Q., Lee, K. S., Talenfeld, A. D., Spincemaille, P., Prince, M. R., & Wang, Y. (2022). Prediction of Lung Shunt Fraction for Yttrium-90 Treatment of Hepatic Tumors Using Dynamic Contrast Enhanced MRI with Quantitative Perfusion Processing. Tomography, 8(6), 2687-2697. https://doi.org/10.3390/tomography8060224

Article Metrics

Back to TopTop