Mammography Skin Markers

Purpose

Detection and classification of markers used in mammography.

Tag(s)

 

Panel

Breast Imaging

Define-AI ID

23060009

Originator

Richard Foster
Lead Richard Foster

Panel Chair

Bhavika Patel, Robert Rosenberg

Panel Reviewers

Breast Imaging Panel

License

Creative Commons 4.0
Status Public Comment
                               

Clinical Implementation


Value Proposition


Utilizing skin markers to communicate the location of potential benign findings in mammography has been a long-standing practice. A nipple out of profile, a post-surgical scar, and a raised mole can all cause interpretation concerns if not identified as such for the radiologist. The ability for the AI engine to identify the presence of a marker, the location of the marker, and the shape of the marker could be useful in the following ways: 

  •  Nipple marker.

    • A  nipple marker is useful to determine the location of the nipple when it is not evident on the exam.  

    • a nipple marker is helpful to differentiate a retroareolar lesion from a nipple out of profile.

    • A nipple marker helps establish the nipple pectoral line when the nipple is not evident.

  • Mole marker.

    • The mole marker is useful when the mole images as an interparenchymal density and it cannot be determined if that density is on the skin or within the breast.

  • Scar marker.

    • The scar marker is useful to create correlation between a post-surgical scar and normal signs of scarring such as architectural distortion, calcifications, skin thickening, puckered or retracted skin and a spiculated mass.


Narrative(s)


A 75 year old female presents for screening mammography. The technologist observes a nipple out of profile, a raised skin mole or a post-surgical scar on the patient’s breast. According to the facility’s protocol, the technologist places a shaped marker as designated by the facility to communicate that finding. The nipple is marked with a pellet, a raised mole is marked with a lucent circle and the post surgical scar is marked with a lucent linear marker cut to the length of the scar.  The technologist indicated on the worksheet that a marker was used and charts the location. The AI engine correctly identifies the shape of the marker and the location. 


Workflow Description


The screening mammogram with the marker in place is reviewed by the AI algorithm. The AI engine correctly identifies the marker based on the:

  • The shape of the marker (Sphere, circle, linear)

  • Input from the technologist stating that a marker was placed on the breast

The AI engine can then communicate the location of the marker and the shape of the marker.


Considerations for Dataset Development


Procedure(s)

Screening Mammography

View(s)

CC and MLO screening views

Age

40+

Technical Specifications


Inputs

DICOM Study

Procedure

Screening Mammogram

Views

CC and MLO view

Data Type

DICOM

Modality

MAM

Body Region

Chest

Anatomic Focus

Breast


Primary Outputs


Skin Marker Detection

RadElement ID

RDE1718

Definition

Identify if skin markers are present.

Data Type

Categorical

Value Set


  • 0 - Unknown

  • 1- Marker present

  • 2- Marker absent



Units

N/A


Location of skin marker 

RadElement ID

RDE1719

Definition

identify the location of skin marker

Data Type

Coordinates

Value Set

NA

Units

N/A


Shape of skin marker 

RadElement ID

RDE1720

Definition

identify the shape of skin marker

Data Type

Categorical

Value Set

Nipple marker - pellet marker

Mole marker - lucent circle marker

Scar marker - lucent linear marker

Units

N/A


Laterality of skin marker use

RadElement ID

RDE1721

Definition

Was the marker used on the left or right breast

Data Type

Categorical

Value Set

Left

Right

Units

N/A


Skin Marker on previous studies

RadElement ID

RDE1722

Definition

Identify if there are any skin markers on previous studies in the same location if applicable

Data Type

Categorical

Value Set

Yes

No

Unknown

Units

N/A

Future Development Ideas


Future development ideas include the potential of the AI engine to use the information that a specific marker was present in a specific location to enhance the final recommendation for that study.
This seems like a useful first step for markers and AI. It could help populate a report with the marker information.