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Lunch and Poster Display session

104P - Quantification analysis of low-cost near infrared camera for breast cancer treatment-related lymphedema fluorescence imaging

Date

16 May 2024

Session

Lunch and Poster Display session

Presenters

Bayu Brahma

Citation

Annals of Oncology (2024) 9 (suppl_4): 1-9. 10.1016/esmoop/esmoop103095

Authors

B. Brahma1, P. Priambodo2, H. Harlim3, S. Suryadi4, S.S. Panigoro5, T. Yamamoto6, K. Harimurti7, S.J. Haryono8, A. Taher7, P.A. Yusuf9

Author affiliations

  • 1 RS Kanker Dharmais, West Jakarta/ID
  • 2 Faculty of Engineering, Universitas Indonesia, Depok/ID
  • 3 Harlim's Infrared and UV Photography, Jakarta/ID
  • 4 National Research and Innovation Agency, South Tangerang/ID
  • 5 RSUPN Dr Cipto Mangunkusumo, Jakarta/ID
  • 6 National Center for Global Health and Medicine, Tokyo/JP
  • 7 Faculty of Medicine, Universitas Indonesia - Dr. Cipto Mangunkusumo General Hospital, Jakarta/ID
  • 8 MRCCC - Mochtar Riady Comprehensive Cancer Center - Siloam Hospitals Semanggi, South Jakarta/ID
  • 9 Faculty of Medicine, Universitas Indonesia, Indonesia/ID

Resources

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Abstract 104P

Background

Breast cancer treatment-related lymphedema (BCRL) is a significant morbidity after axillary lymph node dissection (ALND), and fluorescence imaging has been considered the most sensitive tool to detect lymphatic vessel abnormalities in lymphedema. However, it requires a high-cost near-infrared (NIR) camera. Therefore, a low-cost NIR camera should be developed to facilitate BCRL diagnosis. This study analyzed the image quality of lymph vessel patterns between the standard and low-cost cameras.

Methods

This was a prospective cross-sectional study that evaluated the lymph vessel patterns (linear, splash, stardust, and diffuse) of breast cancer after ALND between February 2022 and June 2023. Image quality analyses, i.e., intensity, signal-to-noise ratio (SNR), and contras-to-noise ratio (CNR), were taken between low-cost and standard NIR cameras. Bland-Altman analyses were used with a priori acceptable clinically important limits of agreement based on our pilot study.

Results

A total of 120 images from 73 patients were analyzed. We found no bias of all patterns except for linear and splash intensity, stardust SNR, and linear and splash CNR with mean differences (95% CI) of -14.6 (-22.6 – -6.6) AI; -14.1 (-27.6 – -0.6) AI; 0.6 (0.1 – 1.2); 0.4 (0.02 – 0.91); 0.5 (0,1 – 0,9) respectively. We also analyzed the trends of the plots. The low-cost camera captured higher intensity on higher mean values on splash patterns. On linear patterns, the low-cost camera tended to capture lower SNR. However, there were no other systematic biases in other plots. For linear, splash, stardust, and diffuse pattern respectively, intensity analyses showed limit of agreement of -56.7-27.5 AI; -85.1-56.8 AI; -73.1-82.9 AI; and -52.7-53.1 AI, the SNR analyses were -1.3-1.3; -3.2-2.8; -2.4-3.7; and -4.6-4.8, and the CNR analyses exhibited -1.7-2.6; -1.8-2.8; -2.2-2.6; -2.0-1.8. Intensity, SNR, and CNR analyses fell within the predefined limit among all lymphatic patterns.

Conclusions

The low-cost NIR camera indicated a good agreement of fluorescence lymph vessel imaging with the standard camera among post-ALND patients. Further study is needed to assess its diagnostic utility in BCRL patients.

Legal entity responsible for the study

The authors.

Funding

Dharmais Cancer Hospital - National Cancer Center, Jakarta, Indonesia.

Disclosure

All authors have declared no conflicts of interest.

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