Quantitative differentiation of tumor heterogeneity using diffusion MR imaging data

Patent metadata

Field	Value
Publication number	US-12016701-B2
Application number	US-201716329608-A
Country	US
Kind code	B2
Filing date	Aug 30, 2017
Priority date	Aug 30, 2016
Publication date	Jun 25, 2024
Grant date	Jun 25, 2024

Abstract

Provided herein are methods for imaging and diagnosing at least one disorder in a patient utilizing diffusion basis spectrum imaging MRI with extended isotropic spectrum (DBSI-EIS). The methods may be used as a tool to image and diagnose heterogeneities within tumors. As a result, different tumor types can be detected, distinguished from one another, and individually quantified without the need to inject exogenous contrast agents.

First claim

What is claimed is:

1. A method for analyzing a diffusion basis spectrum imaging (DBSI) magnetic resonance imaging (MRI), the method comprising:
obtaining a plurality of diffusion magnetic resonance (MR) signals for a plurality of voxels representing at least a portion of a patient tissue;
for each voxel of the plurality of voxels:
computing, by a processor, an anisotropic diffusion portion and an isotropic diffusion portion of the plurality of diffusion MR signals; calculating, by the processor, an extended isotropic diffusion spectrum from the isotropic diffusion portion of the plurality of diffusion MR signals, the extended isotropic diffusion spectrum comprising a plurality of apparent diffusion coefficient (ADC) values;
calculating, by the processor, an associated percent contribution of each ADC value to a sum of the plurality of ADC values of the each voxel; and
calculating at least one isotropic spectrum signal comprising a portion of the extended isotropic diffusion spectrum between a first ADC threshold value of 0 mm 2 /s and a second ADC threshold value of 50×10 mm 2 /s wherein the at least one isotropic spectrum signal is associated with at least one structure within the patient tissue;

generating at least one DBSI image including a map of the at least one isotropic spectrum signal, the map including a projection of a percent contribution of the at least one isotropic spectrum signal to the sum of the plurality of ADC values of the each voxel onto an anatomical image reconstructed using the plurality of voxels; and determining a presence and/or an abundance of the at least one structure within the patient tissue based on the map.

2. The method of claim 1 , wherein determining the presence and/or the abundance of the at least one structure further comprises determining the presence and/or the abundance of one or more structures from the group consisting of a normal resident cell, a grade 1/2 tumor cell, a grade 3 tumor cell, a grade 4 tumor cell, cerebrospinal fluid (CSF), edema, and perfusion associated with vascular structures that perfuse a tumor tissue, the vascular structures comprising a region of perfusion, hyperperfusion, or hypoperfusion.

3. The method of claim 1 , wherein calculating the extended isotropic diffusion spectrum further comprises using a higher sampling rate for data in the extended isotropic diffusion spectrum with ADC values between 0 mm 2 /s and 3×10 −3 mm 2 /s than a sampling rate used for data in the extended isotropic diffusion spectrum with ADC values greater than 3×10 −3 me/s.

4. The method of the claim 2 , wherein:
non-tumor tissue is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of 0 mm 2 /s and 0.3 mm 2 /s;
tumor cells are correlated with a portion of the extended isotropic diffusion spectrum with an ADC threshold value less than the ADC value for CSF and more than the ADC value for non-tumor tissue;
tumor cells are correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of 0.25 mm 2 /s and 3 mm 2 /s;
grade 4 tumor cells, grade 3 tumor cells, and grade 1/2 tumor cells are correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of 0 mm 2 /s and 1.8 mm 2 /s;
grade 4 tumor tissue is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of between 0.25 mm 2 /s and 0.5 mm 2 /s;
grade 3 tumor tissue is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of between 0.5 mm 2 /s and 0.8 mm 2 /s;
grade 2 tumor tissue is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of between 0.8 mm 2 /s and 1.8 mm 2 /s;
edema is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of 1.8 mm 2 /s and 2.5 mm 2 /s; CSF is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of 2.5 mm 2 /s and 4 mm 2 /s;
perfusion is correlated with a portion of the extended isotropic diffusion spectrum between ADC threshold values of between 4 mm 2 /s and 10 mm 2 /s;
perfusion is correlated with a portion of the extended isotropic diffusion spectrum with ADC threshold values greater than 10 mm 2 /s; or
perfusion associated with a tumor is correlated with a portion of the extended isotropic diffusion spectrum with ADC threshold values between 4 mm 2 /s and 50 mm 2 /s.

5. The method of claim 1 , wherein the map comprises:
(i) a tumor grade or tumor grade ratio;
(ii) a tumor grade distribution;
(iii) grade 1 tumor cell fraction, grade 2 tumor cell fraction, grade 3 tumor cell fraction, or grade 4 tumor cell fraction; or
(iv) a perfusion value or perfusion fraction map.

6. The method of claim 1 , further comprising quantifying a value for non-tumor cells; quantifying a value for grade 1/2 cells; quantifying a value for grade 3 cells; or quantifying a value for grade 4 cells.

7. The method of claim 6 , wherein:
if a cell fraction of grade 4 tumor cells is greater than 5% of a sum of non-tumor cells and tumor cell fraction, the tumor is classified as a grade 4 tumor;
if the cell fraction of the grade 4 tumor cells is less than 5% and the cell fraction of the grade 3 tumor cells is more than 5%, the tumor is classified as a grade 3 tumor; or
if the cell fraction of grade 4 tumor cells is less than 5% and the cell fraction of the grade 3 tumor cells is less than 5%, then the tumor is classified as a low grade or grade 1/2 tumor.

8. The method of claim 1 , further comprising:
assessing prognosis, planning therapeutic intervention, or predicting therapeutic response;
diagnosing a subject with a tumor grade or a plurality of tumor grades; or
administering a treatment and monitoring treatment response or tumor recurrence.

9. The method of claim 1 , further comprising determining a perfusion fraction value, wherein the perfusion fraction correlates with cerebral blood volume (CBV) and tumor grade.

10. A method for generating an image utilizing diffusion basis spectrum imaging (DBSI) magnetic resonance imaging (MRI), the method comprising:
obtaining a plurality of diffusion magnetic resonance (MR) signals for a plurality of voxels representing at least a portion of a patient tissue;
for each voxel of the plurality of voxels:
computing, by a processor, an anisotropic diffusion portion and an isotropic diffusion portion of the plurality of diffusion MR signals;
calculating, by the processor, an extended isotropic diffusion spectrum from the isotropic diffusion portion of the plurality of diffusion MR signals, the extended isotropic diffusion spectrum comprising a plurality of apparent diffusion coefficient (ADC) values;
calculating, by the processor, an associated percent contribution of each ADC value to a sum of the plurality of ADC values of the each voxel; and
calculating, by the processor, at least one isotropic spectrum signal comprising a portion of the extended isotropic diffusion spectrum between a first ADC threshold value of 0 mm 2 /s and a second ADC threshold value of 50×10 mm 2 /s, the at least one isotropic spectrum signal associated with a structure within the patient tissue; and

generating at least one DBSI image comprising a map of the at least one isotropic spectrum signal, the map comprising a projection of a percent contribution of the at least one isotropic spectrum signal to the sum of the plurality of ADC values of the each voxel onto an image reconstructed using the plurality of voxels.

11. The method of claim 10 , wherein the DBSI images are displayed to a user as a g

Assignees

• Wang Yong
• Guzman Gloria
• Wang Qing
• Benzinger Tammie
• Washington University St Louis

Inventors

• Wang Yong
• Guzman Gloria
• Wang Qing
• Benzinger Tammie

Classifications

• A61B5/055

  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

• G01R33/56341

  Diffusion imaging · CPC title

• G01R33/5602

  by filtering or weighting based on different relaxation times within the sample, e.g. T1 weighting using an inversion pulse · CPC title

• A61B5/743

  Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title

• A61B5/004

  adapted for image acquisition of a particular organ or body part (A61B5/0082 takes precedence; arrangements for optical scanning A61B5/0062) · CPC title