Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Microwave-assisted thermal profiling of blood: a potential biomarker for differentiating cancer and non-cancer states.

Created on 09 Jul 2026

Authors

Subhasish Sarkar, Ritabrata Saha, Avishek Dutta, Rik Chattopadhyay, Dibyendu Maity, Indranil Biswas, Arup Mondal, Abhik Ghosh, Ranjan Ganguly, Apurba K Santra, Utpal Garain, Debasis Mitra, Suman Chakrabarty

Published in

Journal of medical engineering & technology. Pages 1-16. Jul 09, 2026. Epub Jul 09, 2026.

Abstract

Reliable differentiation between cancer and non-cancer states using minimally invasive approaches remains a significant challenge. Most currently available biomarkers are cancer-type specific and may not capture systemic alterations associated with malignancy. This study evaluates the feasibility of microwave-assisted thermal profiling of blood as a method to distinguish cancer from non-cancer conditions. A cross-sectional analytical study was conducted involving 232 participants (87 cancer patients and 145 non-cancer individuals). A custom-built device was used to perform microwave heating of 0.5 mL venous blood samples. Temperature rise patterns were recorded using an infra-red thermal imager. Key parameters, including the time taken to reach the maximum temperature and maximum gradient time, temperature increase and rate of temperature increase, were extracted and statistically analysed. Significant differences in thermal profiles between cancer and non-cancer groups were observed. Cancer patients exhibited a higher Gradient time ratio (GTR) and lower Zblood value, which indicates an alteration in thermal profile of blood due to cancer. The non-probabilistic prediction rule achieved 96.10 accuracy, with a sensitivity of 96.54 and specificity of 95.86. The microwave-based thermal profiling method demonstrated high diagnostic accuracy and has the potential to serve as a reliable cancer biomarker. Further validation in larger cohorts is required.

PMID:
42422931
Bibliographic data and abstract were imported from PubMed on 09 Jul 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 11
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement