ArticleBiomedical optics express2025
Optical diagnostics of liver tumors using an autofluorescence lifetime probe.
Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liver cancer is a global health challenge and its incidence is expected to grow worldwide to 1 million new cases in 2025. While hepatocellular carcinoma (HCC) is the most common liver cancer, hepatic metastases of colorectal cancer (CRLM) occur in almost 50% of patients with CRC. For both HCC and CRLM, surgical resection represents the only chance of long-term survival. In this context, a label-free optical surgical guidance tool would be highly suitable for reducing the positive margin rate and improving patient outcomes. In this study, we used a fiber-based autofluorescence lifetime imaging probe to provide real-time discrimination of tumor from marginal tissues in freshly excised liver samples. The proposed method allowed discriminating tumors from healthy tissue by reporting the fluorescence lifetime decay of cellular metabolic biomarkers, i.e., NAD(P)H and FAD. The acquisitions on 37 surgical specimens of both HCC and CRLM demonstrate that this approach is a method for delineating tumor borders with 67.7% and 77% accuracy, respectively. The results, combined with the ability to capture and process images in real time under bright background, highlight the technology's potential for clinical use for both label-free tissue diagnostics and surgical guidance.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.