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Pain ASsessment in CAncer Patients by Machine LEarning (PASCALE)

NCT04726228 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2025-07-29

No results posted yet for this study

Summary

In cancer patients, the integration between anticancer therapies and palliative care is of fundamental importance. In this context, telemedicine can improve the quality of life (QoL) of chronic patients through self-management and remote monitoring solutions. This approach can favor the effectiveness of the treatment and therapeutic adherence. Of note, telemedicine can also be applied to the management of cancer pain. In the advanced stages of cancer disease, pain is one of the most obvious and most disabling symptoms. Consequently, proper pain management has a significant impact on the QoL, the ability to withstand treatment, and the recovery of patients. On the other hand, given the complexity of cancer pain, the main obstacle to its proper management is the lack of adequate measurement methods. Although in recent years a great deal of effort has been made in the direction of automatic pain assessment, both concerning the creation of datasets and the development of classification algorithms, the literature is lacking regarding the automatic measurement of pain in the setting of cancer patients. Observation by experienced clinical staff and self-assessment by patients could be useful for obtaining the ground truth and, in turn, for training automatic pain recognition systems.

Conditions

Sponsors & Collaborators

  • Federico II University

    collaborator OTHER

  • National Cancer Institute, Naples

    lead OTHER

Principal Investigators

  • Marco Cascella, MD · Anesthesia and Pain Medicine. Istituto Nazionale Tumori - IRCCS Fondazione Pascale - Napoli, Italy

  • Arturo Cuomo, MD · Anesthesia and Pain Medicine. Istituto Nazionale Tumori - IRCCS Fondazione Pascale - Napoli, Italy

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-21
Primary Completion
2022-02-23
Completion
2025-10-31

Countries

  • Italy

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04726228 on ClinicalTrials.gov