ReviewCancers2020
Fourier Transform Infrared Spectroscopy as a Cancer Screening and Diagnostic Tool: A Review and Prospects.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 186 citations in OpenAlex.
- Blood-Based FTIR Spectroscopy as a Minimally Invasive Diagnostic Method for Colorectal Cancer: A Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024Pooled it
- Comparison of 3 and 4 cycles of neoadjuvant gemcitabine and cisplatin for muscle-invasive bladder cancer: a systematic review and meta-analysis.BMC cancer · 2023Pooled it
- Predicting the Risk of Proteinuria Based on Blood Plasma Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns.Analytical science advances · 2026Article
- Glycan Fingerprint of Malignant Pleural Mesothelioma.International journal of molecular sciences · 2026Article
- Frequency Maps of FTIR Images for Phenotyping Molecular Heterogeneity of the Primary Tumor and Its Metastases.Analytical chemistry · 2026Article
- A comparative study of COVID-19 point-of-care detection across human biofluids using MEMS-based near-infrared spectroscopy and machine learning.Biomedical microdevices · 2026Article
- Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing.Bioengineering (Basel, Switzerland) · 2026Article
- Article
- Ex Vivo Assessment of Keratinocytic Carcinomas Using a Fast Mid-Infrared Probe.Journal of biophotonics · 2026Article
- Article
- Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025Review
- Rapid reagent free COVID19 detection using MEMS based FTIR spectroscopy and machine learning in NIR and MIR regions.Scientific reports · 2025Article
- Rapid diagnosis of alprazolam poisoning by Fourier transform infrared spectroscopy on saliva samples.Scientific reports · 2025Article
- Infrared spectral analysis of gastrointestinal neuroendocrine tumors reveals diagnostic biomarkers.Scientific reports · 2025Article
- Fast Screening of Tuberculosis Patients Based on Analysis of Plasma by Infrared Spectroscopy Coupled with Machine Learning Approaches.ACS omega · 2025Article
- Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.BMC pregnancy and childbirth · 2025Article
- AI-Assisted Detection for Early Screening of Acute Myeloid Leukemia Using Infrared Spectra and Clinical Biochemical Reports of Blood.Bioengineering (Basel, Switzerland) · 2025Article
- Review
- Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection.Scientific reports · 2024Article
- Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.Scientific reports · 2024Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infrared spectroscopy has long been used to characterize chemical compounds, but the applicability of this technique to the analysis of biological materials containing highly complex chemical components is arguable. However, recent advances in the development of infrared spectroscopy have significantly enhanced the capacity of this technique in analyzing various types of biological specimens. Consequently, there is an increased number of studies investigating the application of infrared spectroscopy in screening and diagnosis of various diseases. The lack of highly sensitive and specific methods for early detection of cancer has warranted the search for novel approaches. Being more simple, rapid, accurate, inexpensive, non-destructive and suitable for automation compared to existing screening, diagnosis, management and monitoring methods, Fourier transform infrared spectroscopy can potentially improve clinical decision-making and patient outcomes by detecting biochemical changes in cancer patients at the molecular level. Besides the commonly analyzed blood and tissue samples, extracellular vesicle-based method has been gaining popularity as a non-invasive approach. Therefore, infrared spectroscopic analysis of extracellular vesicles could be a useful technique in the future for biomedical applications. In this review, we discuss the potential clinical applications of Fourier transform infrared spectroscopic analysis using various types of biological materials for cancer. Additionally, the rationale and advantages of using extracellular vesicles in the spectroscopic analysis for cancer diagnostics are discussed. Furthermore, we highlight the challenges and future directions of clinical translation of the technique for cancer.
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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.