AIM version 4 revision 48 Radiology and Oncology (called RadOnc) is an extension of the AIM 4.0 Foundation Model, which covers fundamental image annotation needs. The RadOnc model has nine new classes that cover Oncology lesion annotation needs. You can download the RadOnc model.
You can download AIM 4.0 revision 43 and 44.
AIM 4.0 has fifty-five new classes. Twelve classes were renamed and four were deleted. This document describes changes from the AIM 3.0 to the AIM 4.0 Foundation Model. Descriptions of the new classes follow.
The class is an abstract class stores observations made about lesions in both clinical trial and day-to-day clinical treatments. For detailed information, see DICOM Clinical Trials Results Reporting Supplement (Working group 18).
This class contains general observations made about lesions in clinical trial results and day-to-day clinical treatment that are not specific to time point. For detailed information, see DICOM Clinical Trials Results Reporting Supplement (Working group 18).
This class contains observations made about lesions in day-to-day clinical interpretations and clinical trial results at a specific time point. It also includes “lesions” that are created for the purpose of calibrating scanned film or other secondary capture images. For detailed information, see DICOM Clinical Trials Results Reporting Supplement (Working group 18).
An instance of annotation of annotation may have one or more general lesion observations associate with it. AnnotationOfAnnotationHasGeneralLesionObservationEntityStatement represents a direct relationship between an instance of annotation of annotation and general lesion observation. If you have two general lesion observations, you will need to create two statements.
A use case:
An adjudicator wants to create a general lesion observation statement from an annotation of annotation.
Assumption:
Working with AIM:
An instance of annotation of annotation may have one or more time-point lesion observations associate with it. AnnotationOfAnnotationHasTimePointLesionObservationEntityStatement represents a direct relationship between an instance of annotation of annotation and time-point lesion observation. If you have two time-point lesion observations, you will need to create two statements.
A use case:
An adjudicator wants to create a time-point lesion observation statement from an annotation of annotation.
Assumption:
Working with AIM:
The following classes were derived from ImageAnnotationStatement.
The class is used to record a relationship between a general lesion observation entity and imaging physical entity. Each lesion observation can only be directly related to one imaging physical entity.
A use case:
An imaging interpreter wants to link a general lesion observation and imaging physical annotation.
Working with AIM:
An instance of image annotation may have one or more general lesion observations associate with it. ImageAnnotationHasGeneralLesionObservationEntityStatement represents a direct relationship between an instance of image annotation and general lesion observation. If you have two general lesion observations, you will need to create two statements.
A use case:
An adjudicator wants to create a time-point lesion observation statement from an image annotation.
Assumption:
Working with AIM:
An instance of image annotation may have one or more time-point lesion observations associate with it. ImageAnnotationHasTimePointLesionObservationEntityStatement represents a direct relationship between an instance of image annotation and time-point lesion observation. If you have two general lesion observations, you will need to create two statements.
A use case:
An adjudicator wants to create a time-point lesion observation statement from an image annotation.
Assumption:
Working with AIM:
The class is used to record a relationship between a timepoint lesion observation entity and imaging physical entity. Each lesion observation can only be directly related to one imaging physical entity.
A use case:
An imaging interpreter wants to link a timepoint lesion observation and imaging physical annotation.
Working with AIM: