Visualizing the Unseen: Illustrating and Documenting Phantom Limb Sensations and Phantom Limb Pain With C.A.L.A

Michael Bressler; Joachim Merk; Johannes Heinzel; Martin V Butz; Adrien Daigeler; Jonas Kolbenschlag; Cosima Prahm

doi:10.3389/fresc.2022.806114

Visualizing the Unseen: Illustrating and Documenting Phantom Limb Sensations and Phantom Limb Pain With C.A.L.A

Front Rehabil Sci. 2022 Feb 9:3:806114. doi: 10.3389/fresc.2022.806114. eCollection 2022.

Authors

Michael Bressler¹, Joachim Merk¹, Johannes Heinzel¹, Martin V Butz², Adrien Daigeler¹, Jonas Kolbenschlag¹, Cosima Prahm¹

Affiliations

¹ Department of Hand, Plastic, Reconstructive and Burn Surgery, BG Trauma Clinic, University of Tuebingen, Tuebingen, Germany.
² Neuro-Cognitive Modeling Group, Department of Computer Science and Department of Psychology, Faculty of Science, Eberhard Karls University, Tuebingen, Germany.

Abstract

Currently, there is neither a standardized mode for the documentation of phantom sensations and phantom limb pain, nor for their visualization as perceived by patients. We have therefore created a tool that allows for both, as well as for the quantification of the patient's visible and invisible body image. A first version provides the principal functions: (1) Adapting a 3D avatar for self-identification of the patient; (2) modeling the shape of the phantom limb; (3) adjusting the position of the phantom limb; (4) drawing pain and cramps directly onto the avatar; and (5) quantifying their respective intensities. Our tool (C.A.L.A.) was evaluated with 33 occupational therapists, physiotherapists, and other medical staff. Participants were presented with two cases in which the appearance and the position of the phantom had to be modeled and pain and cramps had to be drawn. The usability of the software was evaluated using the System Usability Scale and its functional range was evaluated using a self-developed questionnaire and semi-structured interview. In addition, our tool was evaluated on 22 patients with limb amputations. For each patient, body image as well as phantom sensation and pain were modeled to evaluate the software's functional scope. The accuracy of the created body image was evaluated using a self-developed questionnaire and semi-structured interview. Additionally, pain sensation was assessed using the SF-McGill Pain Questionnaire. The System Usability Scale reached a level of 81%, indicating high usability. Observing the participants, though, identified several operational difficulties. While the provided functions were considered useful by most participants, the semi-structured interviews revealed the need for an improved pain documentation component. In conclusion, our tool allows for an accurate visualization of phantom limbs and phantom limb sensations. It can be used as both a descriptive and quantitative documentation tool for analyzing and monitoring phantom limbs. Thus, it can help to bridge the gap between the therapist's conception and the patient's perception. Based on the collected requirements, an improved version with extended functionality will be developed.

Keywords: altered body image; body image visualization; digital assessment; documentation methodology; limb amputation; phantom limb pain; phantom limb sensation; software tool.