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Poster session 09

665P - Retinal vessels characteristics analysis as a predictive tool for post-radiation neurocognitive impairment in patients with nasopharyngeal cancer

Date

10 Sep 2022

Session

Poster session 09

Topics

Tumour Site

Head and Neck Cancers

Presenters

James Chow

Citation

Annals of Oncology (2022) 33 (suppl_7): S295-S322. 10.1016/annonc/annonc1056

Authors

J.C. Chow1, J. LEE2, M.M.P. LAI2, S.X.X. LI2, A.Y.L. LAU3, B.S.Y. NG1, G.G. LEUNG1, S.T.Y. LI4, K.M. Cheung4, A.M.C. LAU5, K.H. AU4, B.C.Y. Zee2

Author affiliations

  • 1 Department Of Clinical Oncology, Queen Elizabeth Hospital, 11111 - Kowloon/HK
  • 2 Division Of Biostatistics, Jockey Club School Of Public Health And Primary Care, The Chinese University of Hong Kong - Prince of Wales Hospital, Sha Tin/HK
  • 3 Division Of Neurology, Department Of Medicine And Therapeutics, The Chinese University of Hong Kong - Prince of Wales Hospital, Sha Tin/HK
  • 4 Department Of Clinical Oncology, Queen Elizabeth Hospital, Kowloon/HK
  • 5 Department Of Clinical Psychology, Queen Elizabeth Hospital, Kowloon/HK

Resources

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Abstract 665P

Background

Post-radiation neurocognitive decline is a debilitating late complication after (chemo-)radiotherapy for nasopharyngeal cancer (NPC). Radiation dose correlates poorly with neurocognitive outcomes. This study explored the association between retinal vessel characteristics with neurocognitive outcomes in NPC survivors using an artificial intelligence-based analytic platform.

Methods

This cross-sectional study recruited 180 NPC survivors in a tertiary oncology center. Comprehensive neurocognitive assessments were performed on 8 principal domains. Results were presented as z-scores normalized to population references. Retinal images were captured by a non-mydriatic fundus camera. Vascular characteristics were analyzed by a machine learning approach using fractal analysis, high order spectra analysis, and statistical texture analysis. Results were outputted as a continuous risk score (ARIA-WMH Score) ranging from 0 to 1, with cutoffs of >0.4 and >0.6 refer to moderate and high risk of severe white matter hyperintensities from cerebral magnetic resonance imaging, respectively.

Results

The median time from radiotherapy was 7.0 years. Significant impairments were observed in verbal memory (mean z-score -0.43), executive function (mean z-score -1.71), processing speed (mean z-score -0.73), motor dexterity (mean z-score -0.88) and language fluency (mean z-score -0.28). Upon analysis of the retinal vessels characteristics by ARIA-WMH, 11.7% (21/180) and 48.9% (88/180) of the patients scored >0.6 and >0.4, respectively. Patients with ARIA-WMH Score >0.6 had more severe verbal memory impairment than patients who scored ≤0.6 (mean z-score, -1.04 vs -0.35, p=0.0035). Similar findings were observed if lower cutoff of 0.4 was used (mean z-score, -0.60 vs -0.26, p=0.029). The severity of ARIA-WMH was associated with the level of verbal memory impairment.

Conclusions

Neurocognitive impairment is prevalent after radiotherapy for NPC. Retinal image analysis may offer a quick and non-invasive tool to identify patients with impairment in verbal memory for formal assessments or interventions. Further studies that incorporate radiation dosimetry information are warranted.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Queen Elizabeth Hospital, Department of Clinical Oncology.

Funding

The Health and Medical Research Fund, the Food and Health Bureau, The Government of the Hong Kong Special Administrative Region.

Disclosure

All authors have declared no conflicts of interest.

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