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The goal of this sub-project is to directly compare data from co-clinical animal models to real-time clinical data from TCIA and TCGA. This was accomplished by developing Supplement 187 to accommodate small animal imaging and identifying a pilot co-clinical data set to integrate with TCIA and TCGA, which is in process.
Supplement 187 Data Elements
Traditionally, the words used to describe how an image was acquired differ by the modality of the image, such as X-ray, CT scan, and MRI. This approach works well when image objects have very specific applications and when the domain from which the descriptive concepts are drawn is well understood and clearly defined.
In
some
cases,
information
about
the
acquisition
that
is
relevant
to
the
interpretation
of
the
imaging
may
not
be
known
to
the
modality.
This
is
particularly
the
case in small animal preclinical research, where a myriad of factors that affect quantitative analysis need to be recorded, which would be overwhelming if required to be captured at the modality console user interface. Though it would be possible to add this information by post-processing of the acquired images,
Supplement 187 of the DICOM standard, published in 2015, defines use cases and templates for the storage of information related to the acquisition of small animal images during preclinical research.
If we want to collect data that describes how the data about the animal was acquired, we need standard terminology.
The following
ed standard how an animal image was acquired and which factors could influence the image–was the housing clean or dirty, housing manufacturer
TCGA. Supplement 187 defines the common data elements with animal applicability that are also used in TCGA, such as estrogen-receptor (ER) negative and positive, to a co-clinical data set.
Specifically, this sub-project will:
...
to
...
a
...
co-clinical data set
...
.
For example, consider the following research question, made possible through increased DICOM compliance by small animal/co-clinical data.
...
Factors that may influence an imageIf we want
to collect data that describes how the data about the animal was captured, we needed standard how an animal image was acquired and which factors could influence the image–was the housing clean or dirty, housing manufacturer
This project generated Supplement 187 to the DICOM standard. The working group that worked on this was DICOM working group 30.
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