ELECTRICAL BIOIMPEDANCE ANALYSIS AS A BIOMARKER OF BREAST DENSITY AND/OR BREAST CANCER RISK

• US 20090171236A1
• Filed: 12/08/2008
• Published: 07/02/2009
• Est. Priority Date: 12/11/2007
• Status: Active Grant

• Current Assignee: Epi-Sci, LLC
• Original Assignee: Epi-Sci, LLC
• Inventors: Davies, Richard J.
• Granted Patent: US 8,738,124 B2
• Time in Patent Office: Days
• US Class Current: 600/547
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/415 the glands, e.g. tonsils, adenoids or thymus
• CPC Class Codes: A61B 5/418 lymph vessels, ducts or nodes
• CPC Class Codes: A61B 6/00 Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment instruments measuring radiation intensity for application in the field of nuclear medicine, e.g. in vivo counting, G01T1/161; apparatus for taking X-ray photographs G03B42/02
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 8/00 Diagnosis using ultrasonic, sonic or infrasonic waves imaging of objects using sonar G01S15/00

Abstract

Methods and systems are provided for the noninvasive measurement of the subepithelial impedance of the breast and for assessing the risk that a substantially asymptomatic female patient will develop or be at substantially increased risk of developing proliferative or pre-cancerous changes in the breast, or may be at subsequent risk for the development of pre-cancerous or cancerous changes. A plurality of electrodes are used to measure subepithelial impedance of parenchymal breast tissue of a patient at one or more locations and at least one frequency, particularly moderately high frequencies. The risk of developing breast cancer is assessed according to measured and expected or estimated values of subepithelial impedance for the patient and according to one or more experienced-based algorithms. Devices for practicing the disclosed methods are also provided.

Claims

1. A method for estimating the percent mammographic density (MD) of at least one breast of an individual, the breast comprising an overlying skin surface and nipple, the method comprising the following steps:

(A) establishing a connection between a first electrode and subepithelial parenchymal tissue in the breast of the individual;

(B) placing at least one second electrode in contact with the skin surface of the breast proximate the subepithelial tissue at a fixed distance from the nipple of the breast;

(C) establishing at least one electrical signal having a frequency between the first and second electrodes;

(D) measuring the subepithelial impedance (Zsub) at least one frequency between the first and second electrode;

(E) obtaining an estimate of the density of the breast according to an algorithm relating Zsub to mammographic breast density estimated or calculated according to a method independent of steps (A) through (D).

2. The method according to claim 1 wherein the algorithm includes variables associated with (i) characteristics of the individual;

(ii) conditions under which the electrical measurement are made;

or (iii) both (i) and (ii).

3. The method according to claim 2 wherein the variables are selected from the group consisting of the individuals age, body mass index, weight, parity, whether such individual is a premenopausal female, whether such individual is a postmenopausal female, where a female individual is in her menstrual cycle, and distance from the nipple that the skin surface electrode is placed.

4. The method according to claim 1 wherein the independent method for estimating or calculating breast density is based on images selected from the group consisting of X-rays, ultrasound and magnetic resonance imaging (MRI).

5. The method according to claim 4 wherein said method based on X-ray images is selected from the group consisting of:

the Wolfe Pattern;

Six Category Classification;

BI-RADS;

ACR BI-RADS;

planimetry;

image digitization;

interactive threshold of digitized X-ray images;

texture measurement of X-ray images;

computer-calculated image texture measurements;

computed tomography (CT) imaging;

breast tomosynthesis;

dual-energy X-ray absorptiometry; and

digital mammography.

6. The method according to claim 1 wherein the algorithm is selected from the group consisting of:

MD=141.788+(−

0.716*age)+(−

1.113*BMI)+(−

0.199*Zsub);

 

 

(I)

MDpmw=127.770+(−

1.339*BMI)+(−

0.259*Zsub); and

 

 

(II)

MDpstmw=127.178+(−

0.874*Age)+(−

0.219*Zsub);

 

 

(III)

wherein the symbol * indicates multiplication of the terms preceding and following the symbol;

BMI=body mass index calculated as (Wt*703)/Height²(inches²)), or (Wt*4.88/Height²(ft²)), where Wt is in pounds;

Zsub is expressed in ohms;

age is expressed in years;

MDpmw=mammographic density for pre-menopausal women;

MDpstmw=mammographic density for post-menopausal women.

7. The method according to claim 1 wherein Zsub is adjusted for the distance that the electrode is from the nipple (ADJZsub) according to the equation:

ADJZsub=Zsub_M/Zsub_DFN (where subscript M=measured); and

Zsub_DFN=169.512+(6.668*DFN), where DFN=distance of the electrode from the nipple in cm.

8. The method according to claim 1 wherein Zsub is adjusted for the distance that the electrode is from the nipple (ADJZsub) and the algorithm is selected from the group consisting of:

MDpmw=131.936+(−

1.444*BMI)+(−

54.752*ADJZsub) 

 

(I)

or

MDpstmw=120.178+(−

0.869*Age)+(−

39.179*ADJZsub);

 

 

(II)

wherein

MDpmw=mammographic density for pre-menopausal women;

MDpstmw=mammographic density for post-menopausal women;

ADJZsub=Zsub_M/Zsub_DFN (where subscript M=measured); and

Zsub_DFN=169.512+(6.668*DFN), where DFN=distance of the electrode from the nipple in cm.

9. A method for assessing the risk that a substantially asymptomatic female patient will be found to have proliferative or pre-cancerous changes in the breast, or may be at subsequent risk for the development of pre-cancerous or cancerous changes, said method comprising the following steps:

(A) establishing a connection between a first electrode and subepithelial parenchymal tissue in the breast of the patient;

(B) placing at least one second electrode in contact with the skin surface of the breast proximate the subepithelial tissue at a fixed distance from the nipple of the breast;

(C) establishing at least one electrical signal having a frequency between the first and second electrodes;

(D) measuring the subepithelial impedance at least one frequency between the first and second electrode;

(E) obtaining an estimate of subepithelial impedance (Zsub_e) of parenchymal breast tissue for the patient according to variables pertaining to the patient based on the following equation;

Zsube=107.753+(1.083*Age)+(−

1.074*Breast Density)+(3.196*Body Mass Index);

wherein Age is measured in years;

Breast Density is expressed in % and is estimated from the appearance of the breast(s) on a mammogram; and

Body Mass Index, BMI, is defined as;

Wt (lbs)*703)/Height²(inches ), or

Wt (lbs)*4.88/Height²(ft²);

(F) obtaining at least one measured value of subepithelial impedance (Zsub_m) of parenchymal breast tissue for the patient; and

(G) calculating a value for the ratio of Zsub_m/Zsub_e;

wherein there is a statistically significant increased risk that the female patient will be found to have breast cancer or be at increased risk of developing breast cancer provided that the ratio of Zsub_m/Zsub_e is less than about 0.8 or greater than about 1.2.

10. A computer-readable medium having computer-executable instructions for performing a method for assessing the risk that a substantially asymptomatic female patient will be found to have breast cancer or be at increased risk of developing breast cancer, or may be at subsequent risk for the development of pre-cancerous or cancerous changes, the method comprising the following steps:

(A) establishing a connection between a first electrode and subepithelial parenchymal tissue in the breast of the patient;

(B) placing at least one second electrode in contact with the skin surface of the breast proximate the subepithelial tissue at a fixed distance from the nipple of the breast;

(C) establishing at least one electrical signal having a frequency between the first and second electrodes;

(D) measuring the subepithelial impedance at least one frequency between the first and second electrode;

(E) calculating an estimate of subepithelial impedance (Zsub_e) of parenchymal breast tissue for the patient according to input values for variables pertaining to the patient based on the following equation;

Zsube=107.753+(1.083*Age)+(−

1.074*Breast Density)+(3.196*Body Mass Index);

wherein Age is measured in years;

Breast Density is expressed in % and is estimated from the appearance of the breast(s) on a mammogram; and

Body Mass Index, BMI, is defined as;

Wt (lbs)*703)/Height²(inches²), or

Wt (lbs)*4.88/Height²(ft²);

(F) obtaining at least one measured value of subepithelial impedance (Zsub_m) of parenchymal breast tissue for the patient; and

(G) calculating a value for the ratio of Zsub_m/Zsub_e;

wherein there is a statistically significant increased risk that the female patient will be found to have breast cancer provided that the ratio of Zsub_m/Zsub_e is less than about 0.8 or greater than about 1.2.

11. A computer-readable medium having computer-executable instructions for performing a method for estimating the percent mammographic density (MD) of at least one breast of an individual, the breast comprising an overlying skin surface and nipple, the method comprising the following steps:

(A) establishing a connection between a first electrode and subepithelial parenchymal tissue in the breast of the individual;

(B) placing at least one second electrode in contact with the skin surface of the breast proximate the subepithelial tissue at a fixed distance from the nipple of the breast;

(C) establishing at least one electrical signal having a frequency between the first and second electrodes;

(D) measuring the subepithelial impedance (Zsub) at least one frequency between the first and second electrode;

(E) calculating an estimate of the density of the breast according to an algorithm relating Zsub to mammographic breast density estimated or calculated according to a method independent of steps (A) through (D).

12. The method according to claim 11 wherein the algorithm is selected from the group consisting of:

MD=141.788+(−

0.716*age)+(−

1.113*BMI)+(−

0.199*Zsub);

 

 

(I)

MDpmw=127.770+(−

1.339*BMI)+(−

0.259*Zsub); and

 

 

(II)

MDpstmw=127.178+(−

0.874*Age)+(−

0.219*Zsub);

 

 

(III)

wherein the symbol * indicates multiplication of the terms preceding and following the symbol;

BMI=body mass index calculated as (Wt*703)/Height² (inches²)), or (Wt*4.88/Height²(ft²)), where Wt is in pounds;

Zsub is expressed in ohms;

age is expressed in years;

MDpmw=mammographic density for pre-menopausal women;

MDpstmw=mammographic density for post-menopausal women.

13. The method according to claim 11 wherein Zsub is adjusted for the distance that the electrode is from the nipple (ADJZsub) according to the equation:

ADJZsub=Zsub_M/Zsub_DFN (where subscript M=measured); and

Zsub_DFN=169.512+(6.668*DFN), where DFN=distance of the electrode from the nipple in cm.

14. The method according to claim 11 wherein Zsub is adjusted for the distance that the electrode is from the nipple (ADJZsub) and the algorithm is selected from the group consisting of:

MDpmw=131.936+(−

1.444*BMI)+(−

54.752*ADJZsub) 

 

(I)

or

MDpstmw=120.178+(−

0.869*Age)+(−

39.179*ADJZsub);

 

 

(II)

wherein

MDpmw=mammographic density for pre-menopausal women;

MDpstmw=mammographic density for post-menopausal women;

ADJZsub=Zsub_M/Zsub_DFN (where subscript M=measured); and

Zsub_DFN=169.512+(6.668*DFN), where DFN=distance of the electrode from the nipple in cm.