Methods for feature analysis on consecutive tissue sections

• US 9,607,379 B1
• Filed: 05/27/2014
• Issued: 03/28/2017
• Est. Priority Date: 09/28/2010
• Status: Expired due to Fees

• Current Assignee: Flagship Biosciences, Inc.
• Original Assignee: Flagship Biosciences, Inc.
• Inventors: Potts, Steven, Johnson, Trevor, Voelker, Frank, Young, George David
• Primary Examiner(s): Heidemann, Jason
• Application Number:
  US14/287,193
• Time in Patent Office: 1,036 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/10056 Microscopic image
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/30096 Tumor; Lesion
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G06T 7/38 Registration of image sequences

Abstract

Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

Claims

1. A method for feature analysis on consecutive tissue sections, comprising:

obtaining at least a first digital image of a first tissue section, a second digital image of a second tissue section and a third digital image of a third tissue section, wherein each of said first through third tissue sections are consecutively related and derived from a common tissue block; and

registering the digital images of the first and third tissue sections with the digital image of said second tissue section to digitally align each of the images;

characterized in that the method further comprises;

annotating one or more regions of interest within the second digital image of the second tissue section;

transferring said one or more annotated regions of interest from the second digital image to at least one of the first and third digital images that are digitally aligned therewith such that said one or more regions of interest annotated about the second digital image are further associated with said at least one of the first and third digital images; and

with the one or more regions of interest,

deriving a tissue analysis score associated with said consecutive tissue sections.

2. The method of claim 1, wherein said annotating is automated by an image analysis system programmed to determine said regions of interest based on cell features captured in said second digital image.

3. The method of claim 1, wherein said annotating comprises manual annotation of the one or more regions of interest captured in the second digital image.

4. The method of claim 1, wherein said tissue analysis score comprises a HER2 score.

5. A method for feature analysis on consecutive tissue sections, comprising:

obtaining at least a first digital image of a first tissue section, a second digital image of a second tissue section and a third digital image of a third tissue section, wherein each of said first through third tissue sections are consecutively related and derived from a common tissue block; and

registering the digital images of the first and third tissue sections with the digital image of said second tissue section to digitally align each of the images;

characterized in that the method further comprises;

annotating one or more regions of interest about the second digital image of the second tissue section;

applying said one or more annotated regions of interest to at least one of the first and third digital images that are digitally aligned with the second digital image to produce at least one modified digital image, wherein said modified digital image comprises said one or more regions of interest applied thereon; and

deriving a tissue analysis score for at least one of said consecutive tissue sections.

6. The method of claim 5, wherein said annotating is automated by an image analysis system programmed to determine said regions of interest based on cell features captured in said second digital image.

7. The method of claim 5, wherein said annotating comprises manual annotation of the one or more regions of interest captured in the second digital image.

8. The method of claim 5, wherein said tissue analysis score comprises a HER2 score.

9. The method of claim 5, wherein said deriving a tissue analysis score for at least one of said consecutive tissue sections comprises deriving a tissue analysis score associated with one of said at least one modified digital image.