Evidence map›Paper›PMID 40661262›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Rapid Discrimination of High-Grade Prostate Cancer Using Label-Free Fluorescence Lifetime Measurements.

Julien Bec, Xiangnan Zhou, Yash Tipirneni, Shuai Chen, Jinyi Qi, Kenneth A Iczkowski, Marc Dall'Era, Laura Marcu

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Julien BecDepartment of Biomedical Engineering, University of California, Davis, CA, USA.ORCID 0000-0003-1222-4071
Xiangnan ZhouDepartment of Biomedical Engineering, University of California, Davis, CA, USA.
Yash TipirneniDepartment of Biomedical Engineering, University of California, Davis, CA, USA.
Shuai ChenDivision of Biostatistics, Department of Public Health Science, University of California, Davis, CA, USA.
Jinyi QiDepartment of Biomedical Engineering, University of California, Davis, CA, USA.
Kenneth A IczkowskiDepartment of Pathology, University of California, Davis Medical Center, Sacramento, CA, USA.
Marc Dall'EraDepartment of Urologic Surgery, University of California, Davis Medical Center, Sacramento, CA, USA.
Laura MarcuDepartment of Biomedical Engineering, University of California, Davis, CA, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh · 2022 to 2026
$6.7M
NCI NIH HHS P30 CA093373NIBIB NIH HHS P41 EB032840
6 · The paper itself

Abstract

Purpose: Histologic evaluation of prostatic needle biopsies is essential for prostate cancer (PCa) diagnosis and treatment planning, yet tissue targeting remains suboptimal despite MRI-guided Bx procedures. This pilot study investigates the use of label-free Fluorescence Lifetime Imaging (FLIm) for real-time biopsy guidance. Using ex vivo specimens, we assess FLIm's preliminary efficacy in discriminating malignant from benign prostate tissue. Materials and Methods: Twenty patients undergoing prostate biopsy were enrolled. FLIm measurements were performed immediately after sample collection using a custom fiber-optic probe. Optical parameters from 4 spectral bands associated with distinct endogenous fluorophores including structural proteins and metabolic cofactors (e.g. NADH, FAD) were extracted and labeled based on histological annotation. Data were analyzed to characterize tissue-type differences and train and evaluate a classifier to distinguish malignancy. Results: Separation between benign tissue and Gleason grade ≥4 PCa was achieved using just 2 of 56 FLIm-derived parameters. A Support Vector Machine classifier using all parameters achieved a ROC of 0.88 in identifying grade 4 PCa. A reduced lifetime value in the NADH-associate band, likely due to increased free NADH from upregulated glycolysis, supports the biochemical basis for optical differentiation. Conclusions: FLIm shows significant potential for high-grade PCa identification. The single-fiber approach requires minimal modification for integration into current biopsy tools, supporting its feasibility for clinical translation.

Identifiers

PMID40661262
PMCPMC12258761

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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.