Is the EORTC QLQ-C30 emotional functioning scale appropriate as an initial screening measure to identify brain tumour patients who may possibly have a mood disorder?

Development and application of emotion recognition technology - a systematic literature review

BACKGROUND

There is a mutual influence between emotions and diseases. Thus, the subject of emotions has gained increasing attention.

OBJECTIVE

The primary objective of this study was to conduct a comprehensive review of the developments in emotion recognition technology over the past decade. This review aimed to gain insights into the trends and real-world effects of emotion recognition technology by examining its practical applications in different settings, including hospitals and home environments.

METHODS

This study followed the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines and included a search of 4 electronic databases, namely, PubMed, Web of Science, Google Scholar and IEEE Xplore, to identify eligible studies published between 2013 and 2023. The quality of the studies was assessed using the Critical Appraisal Skills Programme (CASP) criteria. The key information from the studies, including the study populations, application scenarios, and technological methods employed, was summarized and analyzed.

RESULTS

In a systematic literature review of the 44 studies that we analyzed the development and impact of emotion recognition technology in the field of medicine from three distinct perspectives: "application scenarios," "techniques of multiple modalities," and "clinical applications." The following three impacts were identified: (i) The advancement of emotion recognition technology has facilitated remote emotion recognition and treatment in hospital and home environments by healthcare professionals. (ii) There has been a shift from traditional subjective emotion assessment methods to multimodal emotion recognition methods that are grounded in objective physiological signals. This technological progress is expected to enhance the accuracy of medical diagnosis. (iii) The evolving relationship between emotions and disease throughout diagnosis, intervention, and treatment processes holds clinical significance for real-time emotion monitoring.

CONCLUSION

These findings indicate that the integration of emotion recognition technology with intelligent devices has led to the development of application systems and models, which provide technological support for the recognition of and interventions for emotions. However, the continuous recognition of emotional changes in dynamic or complex environments will be a focal point of future research.

Association between pretreatment emotional distress and neoadjuvant immune checkpoint blockade response in melanoma

Neoadjuvant immune checkpoint blockade (ICB) outperforms adjuvant ICB for treatment of stage IIIB-D melanoma, but potential biomarkers of response, such as interferon-gamma (IFNγ) signature and tumor mutational burden (TMB), are insufficient. Preclinical studies suggest that emotional distress (ED) can negatively affect antitumor immune responses via β-adrenergic or glucocorticoid signaling. We performed a post hoc analysis evaluating the association between pretreatment ED and clinical responses after neoadjuvant ICB treatment in patients with stage IIIB-D melanoma in the phase 2 PRADO trial ( NCT02977052 ). The European Organisation for Research and Treatment of Cancer scale for emotional functioning was used to identify patients with ED (n = 28) versus those without (n = 60). Pretreatment ED was significantly associated with reduced major pathologic responses (46% versus 65%, adjusted odds ratio 0.20, P = 0.038) after adjusting for IFNγ signature and TMB, reduced 2-year relapse-free survival (74% versus 91%, adjusted hazard ratio 3.81, P = 0.034) and reduced 2-year distant metastasis-free survival (78% versus 95%, adjusted hazard ratio 4.33, P = 0.040) after adjusting for IFNγ signature. RNA sequencing analyses of baseline patient samples could not identify clear β-adrenergic- or glucocorticoid-driven mechanisms associated with these reduced outcomes. Pretreatment ED may be a marker associated with clinical responses after neoadjuvant ICB in melanoma and warrants further investigation. ClinicalTrials.gov registration: NCT02977052 .