ArticleBBA clinical2017
Rapid diagnosis and intraoperative margin assessment of human lung cancer with fluorescence lifetime imaging microscopy.
Article in BBA clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04534894 (Single-center Clinical Study of Early Diagnosis of Diabetic Cardiomyopathy With Fluorescence Lifetime Imaging Microscopy), which is not on this map. Cited by 28 papers.
What it found
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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.
Single-center Clinical Study of Early Diagnosis of Diabetic Cardiomyopathy With Fluorescence Lifetime Imaging Microscopy (FLIM)
Who cites it
28 citing papers in PubMed, 70 citations in OpenAlex.
- Hidden in visible light: spectral-temporal unmixing of lung tissue autofluorescence in a fibre-based system.Biomedical optics express · 2026Article
- Enhancing Fluorescence Lifetime Imaging With Differential Transformer.Journal of biophotonics · 2026Article
- Widefield frequency-domain autofluorescence lifetime imaging for detecting breast cancer in murine xenograft tumor tissues.Journal of biomedical optics · 2025Article
- Article
- Overcoming photon and spatiotemporal sparsity in fluorescence lifetime imaging with SparseFLIM.Communications biology · 2024Article
- Light-field tomographic fluorescence lifetime imaging microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Platelet-derived microparticles and their cargos: The past, present and future.Asian journal of pharmaceutical sciences · 2024Review
- Applications of machine learning in time-domain fluorescence lifetime imaging: a review.Methods and applications in fluorescence · 2024Review
- Fibre-optic based exploration of lung cancer autofluorescence using spectral fluorescence lifetime.Biomedical optics express · 2024Article
- Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug.Advanced healthcare materials · 2023Article
- Light-field tomographic fluorescence lifetime imaging microscopy.Research square · 2023Article
- Article
- Super-Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Artificial neural network in the discrimination of lung cancer based on infrared spectroscopy.PloS one · 2022Article
- Single-Fiber Diffuse Reflectance Spectroscopy and Spatial Frequency Domain Imaging in Surgery Guidance: A Study on Optical Phantoms.Materials (Basel, Switzerland) · 2021Article
- Real-time cancer diagnosis of breast cancer using fluorescence lifetime endoscopy based on the pH.Scientific reports · 2021Article
- Metabolic Changes in Maternal and Cord Blood in One Case of Pregnancy-Associated Breast Cancer Seen by Fluorescence Lifetime Imaging Microscopy.Diagnostics (Basel, Switzerland) · 2021Article
- Deep Learning in Biomedical Optics.Lasers in surgery and medicine · 2021Review
- FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.Nano-micro letters · 2021Review
- Solitary pulmonary nodule imaging approaches and the role of optical fibre-based technologies.The European respiratory journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A method of rapidly differentiating lung tumor from healthy tissue is extraordinarily needed for both the diagnosis and the intraoperative margin assessment. We assessed the ability of fluorescence lifetime imaging microscopy (FLIM) for differentiating human lung cancer and normal tissues with the autofluorescence, and also elucidated the mechanism in tissue studies and cell studies. A 15-patient testing group was used to compare FLIM results with traditional histopathology diagnosis. Based on the endogenous fluorescence lifetimes of the testing group, a criterion line was proposed to distinguish normal and cancerous tissues. Then by blinded examined 41 sections from the validation group of other 16 patients, the sensitivity and specificity of FLIM were determined. The cellular metabolism was studied with specific perturbations of oxidative phosphorylation and glycolysis in cell studies. The fluorescence lifetime of cancerous lung tissues is consistently lower than normal tissues, and this is due to the both decrease of reduced nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) lifetimes. A criterion line of lifetime at 1920 ps can be given for differentiating human lung cancer and normal tissues.The sensitivity and specificity of FLIM for lung cancer diagnosis were determined as 92.9% and 92.3%. These findings suggest that NADH and FAD can be used to rapidly diagnose lung cancer. FLIM is a rapid, accurate and highly sensitive technique in the judgment during lung cancer surgery and it can be potential in earlier cancer detection.
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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.