Localizing Value of Pain Distribution Patterns in Cervical Spondylosis

Bunyaratavej, Krishnapundha; Montriwiwatnchai, Peerapong; Siwanuwatn, Rungsak; Khaoroptham, Surachai

doi:10.4184/asj.2015.9.2.210

Cited by 3 publications

(2 citation statements)

References 30 publications

(31 reference statements)

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“…Interestingly, the authors presumed but did not confirm doctors’ drawings to be more accurate as they were based upon a physical examination, and thus, patients’ PDs should be compared with them. Similar studies were later published by other groups [51,52].…”

Section: Resultssupporting

confidence: 88%

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones

Shaballout¹,

Neubert²,

Boudreau³

et al. 2019

JMIR Mhealth Uhealth

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BackgroundIn a pain drawing (PD), the patient shades or marks painful areas on an illustration of the human body. This simple yet powerful tool captures essential aspects of the subjective pain experience, such as localization, intensity, and distribution of pain, and enables the extraction of meaningful information, such as pain area, widespreadness, and segmental pattern. Starting as a simple pen-on-paper tool, PDs are now sophisticated digital health applications paving the way for many new and exciting basic translational and clinical applications.ObjectiveGrasping the full potential of digital PDs and laying the groundwork for future medical PD apps requires an understanding of the methodological developments that have shaped our current understanding of uses and design. This review presents methodological milestones in the development of both pen-on-paper and digital PDs, thereby offering insight into future possibilities created by the transition from paper to digital.MethodsWe conducted a systematic literature search covering PD acquisition, conception of PDs, PD analysis, and PD visualization.ResultsThe literature search yielded 435 potentially relevant papers, from which 53 methodological milestones were identified. These milestones include, for example, the grid method to quantify pain area, the pain-frequency maps, and the use of artificial neural networks to facilitate diagnosis.ConclusionsDigital technologies have had a significant influence on the evolution of PDs, whereas their versatility is leading to ever new applications in the field of medical apps and beyond. In this process, however, there is a clear need for better standardization and a re-evaluation of methodological and technical limitations that no longer apply today.

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Section: Resultssupporting

confidence: 88%

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones

Shaballout¹,

Neubert²,

Boudreau³

et al. 2019

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

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“…Pain mapping has been utilised in patients with musculoskeletal pathology affecting other joints but its use in shoulder pathology has been limited [2,8,9]. Despite the frequency of shoulder pathology and pain, there have been limited studies into the distribution and type of pain experienced and where work has been undertaken into this area it has previously been limited to very few shoulder pathologies [2].…”

Section: Introductionmentioning

confidence: 99%

Pain Mapping and Neuropathic Features of Common Shoulder Pathologies

Dunkerley¹,

King²,

Batten³

et al. 2020

Hong Kong J Orthop Res

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Introduction: Pain maps can help quantify the distribution of pain but are not commonly used in shoulder pathology. This prospective study aims to quantify severity, type and distribution of pain associated with common shoulder pathologies using patient derived pain maps. Material and Methods: 219 patients with 5 common shoulder pathologies were prospectively recruited with diagnosis confirmed definitively at time of procedure. Patients completed maps for nociceptive pain and abnormal sensation. Visual Analogue Score and a validated neuropathic pain questionnaire (painDetect) were completed. Maps were generated with images stacked and overlaid using an FFT based image algorithm to generate pathology specific heat maps. Results: Neuropathic pain was likely in 20% of all patients based on painDetectscores. Abnormal sensation was present overall in 49.3%. 16.1% experienced symptoms below the elbow and 11.6% in the hand. Frozen shoulder appears to have the highest frequency of distal limb symptoms. Conclusion: This study provides a clear guide to the distribution and nature of pain arising from procedure confirmed common shoulder conditions. We have demonstrated that neuropathic pain is prevalent in common shoulder pathologies and may spread as far as the hand. Therefore, pain in this distribution should not be dismissed as cervical as this will lead to a delay in the treatment of the shoulder pathology.

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