Sakudo, Akikazu, Kuratsune, Hirohiko, Hakariya, Yukiko et al. · Nihon rinsho. Japanese journal of clinical medicine · 2007
Researchers tested whether a special light-based technology called visible and near-infrared spectroscopy could help diagnose ME/CFS by analyzing blood samples and skin. The technique uses different wavelengths of light to detect patterns that might differ between people with ME/CFS and healthy people. Early results showed the method could correctly identify about 70-80% of cases, suggesting this approach might one day offer a quick, non-invasive way to help diagnose the condition.
ME/CFS currently lacks objective diagnostic biomarkers, making diagnosis challenging and time-consuming. A non-invasive spectroscopic test could potentially provide rapid, objective confirmation of the disease and reduce diagnostic delays for patients seeking answers. This research represents an innovative approach to developing accessible diagnostic tools.
This study does not prove that spectroscopy is clinically ready for routine ME/CFS diagnosis. The 70-80% accuracy rate means it misses or misclassifies 20-30% of cases, which is insufficient for clinical practice. The study does not establish what biological differences the spectral patterns represent or whether they reflect disease mechanism versus secondary effects.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
The first block is for the primary paper and is the citation you should use in research work. The atlas-snapshot line only applies if you are specifically referring to this atlas’s reading of the paper on the date shown.
Primary citation
Sakudo, Akikazu, Kuratsune, Hirohiko, Hakariya, Yukiko, Kobayashi, Takanori, & Ikuta, Kazuyoshi (2007). [Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra].. Nihon rinsho. Japanese journal of clinical medicine. https://pubmed.ncbi.nlm.nih.gov/17561696/
BibTeX
@article{mecfsatlas-sakudo-2007-spectroscopic-diagnosis,
author = {Sakudo, Akikazu and Kuratsune, Hirohiko and Hakariya, Yukiko and Kobayashi, Takanori and Ikuta, Kazuyoshi},
title = {[Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra].},
journal = {Nihon rinsho. Japanese journal of clinical medicine},
year = {2007},
note = {PubMed: 17561696},
url = {https://www.mecfsatlas.com/evidence/sakudo-2007-spectroscopic-diagnosis},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-30. https://www.mecfsatlas.com/evidence/sakudo-2007-spectroscopic-diagnosis
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