ReviewClinical and experimental medicine2024
Non-invasive early-stage cancer detection: current methods and future perspectives.
Review in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blood-Based Circulating Tumor DNA Assays for Early Colorectal Cancer Detection: A Systematic Review of Performance in Asymptomatic Screening Populations.International journal of cancer · 2026Pooled it
- Nitrogen-doped carbon nanodots as a biocompatible FRET donor for caspase-3 detection and chemotherapy response evaluation in osteosarcoma cell lysates.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026Article
- Extracellular Vesicles as a Potential Tool in Cancer Diagnosis and Therapy.Biomedicines · 2026Review
- Diagnosis of Prostate Cancer: A Comparative Evaluation of Biological Techniques.Diseases (Basel, Switzerland) · 2026Review
- Lateral flow immunochromatographic assay (LFIA) for tumor marker detection: technical evolution, clinical translation challenges, and future perspectives.Mikrochimica acta · 2026Review
- MXene-AuPtPdCu nanoalloy-based aptameric immunosensor for differential pulse voltammetric quantification of colorectal cancer exosomes.RSC advances · 2026Article
- A causal multimodal framework for privacy-preserving early-stage cancer detection and adaptive testing.Scientific reports · 2026Article
- A Sensor-Oriented Multimodal Medical Data Acquisition and Modeling Framework for Tumor Grading and Treatment Response Analysis.Sensors (Basel, Switzerland) · 2026Article
- Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer: Toward a radiologic biopsy approach.World journal of gastrointestinal oncology · 2026Article
- Genomic innovations in cancer prevention, diagnosis, prognosis and precision therapeutics.Frontiers in genetics · 2026Review
- Progress in the Development of Metal-Organic Frameworks (MOFs) for Medical Imaging of Tumors: Prospects and Challenges.International journal of nanomedicine · 2026Review
- Development and Validation of an Interpretable Machine Learning Model Based on Peripheral Blood Biomarkers for Esophageal Cancer Risk Prediction.International journal of general medicine · 2026Article
- Dynamic changes in liquid biopsy markers during OSCC treatment: A longitudinal study.Bioinformation · 2026Article
- Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives.Cells · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review paper explores the realm of non-invasive methods for early cancer detection. Early identification is crucial for effective therapeutic intervention, and non-invasive techniques have emerged as promising tools to enhance diagnostic accuracy and improve patient outcomes. The paper thoroughly examines the advantages, limitations, and prospects of various non-invasive approaches, including blood tests, non-blood-based tests, and diverse imaging modalities. It discusses the biomarkers found in blood for early-stage cancer detection, specifying the types of cancer associated with each biomarker. The non-blood-based tests focus on components in saliva, urine, and breath for cancer detection, alongside current studies and future perspectives on various cancers. Optical imaging methods covered in this review include fluorescence imaging in the near-infrared (NIR) region, bioluminescence imaging, and Raman spectroscopy for early-stage cancer detection. The review also highlights the pros and cons of ultrasound imaging in early-stage cancer detection. Additionally, the clinical implications of using AI for cancer detection, both present and future, are explored. This paper provides valuable insights for researchers and clinicians working in the field of non-invasive early-stage 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.