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REDCap module: Image Map

DOI

This REDCap module replaces an input, radio, or checkbox field with an image that users can interact with to select one or more options. Specific applications include a body map (with over 70 body regions), a smile scale from 1-7 with facial expressions, three representations of teeth and teeth surfaces, among others. See below for a complete list of current imagemaps. Future versions will allow admins and users to add additional maps via the module configuration. The module is tied to questions via the @IMAGEMAP action tag and the name of one of the pre-defined image maps. e.g. @IMAGEMAP=PAINMAP_FEMALE.

Prerequisites

Easy Installation

  • Obtain this module from the Consortium REDCap Repo from the control center.

Manual Installation

  • Clone this repo into <redcap-root>/modules/imagemap_v0.0.0.
  • Go to Control Center > External Modules and enable Image Map.
  • To activate this module for a particular project, go to the project home page, click on the External Modules link, and then enable Image Map for that project.

Features included

This module defines a new action tag: @IMAGEMAP. The possible values for this tag are:

PAINMAP_MALE

Representation of a generic male body.
PAINMAP_MALE

PAINMAP_FEMALE

Representation of a generic female body.
PAINMAP_FEMALE

SMILE_SCALE

SMILE_SCALE

5_FACE_PAINMAP

5_FACE_PAINMAP

SINGLE_TOOTH

SINGLE_TOOTH

TEETH_SURFACE

TEETH_SURFACE

TEETH

TEETH

PI-RADS

TEETH

RHEUMATOID_MAN

The Rheumatoid man imagemap tool reflects disease activity and progression by recording joint involvement. It was designed for use in paediatric rheumatology, but can be used wherever joint mapping is required. The Rheumatoid man is in anatomical position, which means a frontal depiction, but not mirrored, i.e., the left hand would be depicted on the right side of the screen.
RHEUMATOID_MAN

VA_CHART

A 2-D emotion wheel representation of the circumplex model of affect.
VA_CHART

MBODY

Michigan Body Map (MBM) reflects body areas where chronic pain may be experienced.
MBODY

BEES (BONUS)

BEES

DO_TOUCH_NET_BODY_COLOUR and DO_TOUCH_NET_BODY_GREY

DO-Touch.NET body region image map designed for use in osteopathic manipulative medicine (OMM) research. DO_TOUCH_NET_BODY_COLOUR DO_TOUCH_NET_BODY_GREY

66SWOLLEN_68TENDER_JOINT_COUNT

The 66 Swollen / 68 Tender Joint Count can be used to record the number of tender and swollen joints in patients with inflammatory arthritis e.g. psoriatic arthritis, rheumatoid arthritis. These counts can be used in calculated fields to generate disease activity scores in combination with other variables e.g. DAPSA, DAS28 scores. 66SWOLLEN_68TENDER_JOINT_COUNT

FR_REGION

French Region 2020 : to localize in one click a region - Région Française 2020 : Pour localiser en un clic une région. FR_REGION

Usage

To display one of the images above in a survey or data entry form, add a new field of type Text Box and include one of the following options in the Action Tags / Field Annotation (optional) field:

@IMAGEMAP=PAINMAP_MALE
@IMAGEMAP=PAINMAP_FEMALE
@IMAGEMAP=SMILE_SCALE
@IMAGEMAP=5_FACE_PAINMAP
@IMAGEMAP=SINGLE_TOOTH
@IMAGEMAP=TEETH_SURFACE
@IMAGEMAP=TEETH
@IMAGEMAP=PIRADS
@IMAGEMAP=RHEUMATOID_MAN
@IMAGEMAP=VA_CHART
@IMAGEMAP=MBODY
@IMAGEMAP=BEES
@IMAGEMAP=DO_TOUCH_NET_BODY_COLOUR
@IMAGEMAP=DO_TOUCH_NET_BODY_GREY
@IMAGEMAP=66SWOLLEN_68TENDER_JOINT_COUNT
@IMAGEMAP=FR_REGION

Each region of an image is associated with a key, for example, the "Ankle (front-left)" of the female body diagram is linked to the key "f34". To find a particular key for a body part, please refer to the HTML files (map files) located in the folder maps. After selecting multiple body parts, the field containing the action tag @IMAGEMAP will have as a value a string of comma-separated keys, e.g. "f36,f17,f18,f21". Similarly, if using the faces diagram, the field containing the action tag (e.g. @IMAGEMAP=SMILE_SCALE) will have the value corresponding to the face clicked.

Testing instrument

This project includes an [Example Instrument](docs/Instrument\ Example.zip) that includes each of these image maps. It demonstrates different methods of using these image maps; which is suitable for testing or demonstration purposes.

Acknowledgements & Copyright

  • The original body was devised by Dr. Ming-Chih J Kao and Professor Sean Mackey at Stanford University as part of CHOIR. Use of the 'bodymap' images requires that the CHOIR attribution remains intact.
  • The imagemap plugin/hook was written at Stanford by Andrew Martin and converted to an external module in collaboration with CTS-IT - University of Florida.
  • The odontogram maps were contributed by Bas de Veer and collaborators at the ITHS and Christy McKinney at the University of Washington and Seattle Children’s Research Institute.
  • The PIRADS images were contributed by Dr. Richard Fan from Stanford University.
  • Rheumatoid Man was contributed by Dr. Blaine Vlantis of the University of Cape Town.
  • VA Chart image appears in the paper "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond" by Kollias, D., Tzirakis, P., Nicolaou, M.A. et al. For image usage, refer to Springer's copyright information.
  • The Michigan Body Map (MBODY) image was created by the Division of Pain Research Anesthesiology of the University of Michigan. Please refer to their website for copyright information.
  • The DO-Touch.NET body map was created by Jamie Carroll using the international standard for osteopathic manipulative medicine (OMM) research established by DO-Touch.NET. Use of this image map requires the attributions to remain in place. website.
  • The 66 Swollen / 68 Tender Joint Map was contributed by Dr Tom Lynch from the Institute of Bone and Joint Research, University of Sydney. The image was adopted with permission from Dr Alexis Ogdie-Beatty and first published in this article from the OMERACT group: website.
  • The FR_REGION was contributed by Hugo Potier of University Hospital of Nîmes. The image source come from data.gouv.fr.

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