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Analgesia and Pain Management

Analgesia and Pain Management

Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...

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Related Experiment Video

Updated: Oct 6, 2025

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

Novel Software for Pain Drawing Analysis.

Asimakis K Kanellopoulos¹, Emmanouil K Kanellopoulos², Zacharias Dimitriadis¹

¹Department of Physiotherapy, University of Thessaly, Lamia, GRC.

|January 20, 2022

Summary

A new software tool, "Pain Distribution," quantifies pain extent and location using digital pain drawings. This freely available application aids clinical and research settings in pain assessment.

Keywords:

central sensitization pain assessment pain distribution pain drawing pain software

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Area of Science:

Pain management and assessment
Medical informatics
Digital health solutions

Background:

Pain drawings (PDs) are crucial for pain assessment, but traditional analog methods lack digital quantification.
Existing digital pain drawing (DPD) software is insufficient for analyzing pain distribution data.
There is a need for advanced DPD tools to objectively measure pain extent and location.

Purpose of the Study:

To develop and describe a novel custom-built software for quantifying digital pain drawings.
To enable objective analysis of pain extent and location from DPD data.
To provide a freely accessible tool for pain research and clinical practice.

Main Methods:

Custom software named "Pain Distribution" was developed based on literature review and community needs.
The software quantifies pain extent by calculating pixel data from digital pain drawings.
Features include frequency distribution analysis, central sensitization threshold selection, and data export.

Main Results:

The "Pain Distribution" software automatically quantifies pain extent via pixel analysis.
It provides frequency distribution, mean values, standard deviations, and central sensitization indicators.
Results can be exported in *.txt format for further statistical analysis.

Conclusions:

A novel, freely available "Pain Distribution" application has been successfully developed.
This software offers a quantitative method for analyzing digital pain drawings.
The tool is suitable for clinical, research, and academic applications in pain assessment.