ArticleWorld journal of radiology2025
Applications of photon-counting CT in oncologic imaging: A systematic review.
Article in World journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Understanding Photon-Counting CT: Physics, Detector Technology, and Image Reconstructions.Sensors (Basel, Switzerland) · 2026Review
- Lesion conspicuity assessment of prone 40-keV virtual monoenergetic imaging in arterial-phase photon-counting CT for breast cancer: a retrospective comparison with DCE-MRI.Japanese journal of radiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhoton-counting detector (PCD) CT represents a transformative advancement in radiological imaging, offering superior spatial resolution, enhanced contrast-to-noise ratio, and reduced radiation dose compared with the conventional energy-integrating detector CT.
aimTo evaluate PCD CT in oncologic imaging, focusing on its role in tumor detection, staging, and treatment response assessment.
methodsWe performed a systematic PubMed search from January 1, 2017 to December 31, 2024, using the keywords "photon-counting CT", "cancer", and "tumor" to identify studies on its use in oncologic imaging. We included experimental studies on humans or human phantoms and excluded reviews, commentaries, editorials, non-English, animal, and non-experimental studies. Study selection followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Out of 175 initial studies, 39 met the inclusion criteria after screening and full-text review. Data extraction focused on study type, country of origin, and oncologic applications of photon-counting CT. No formal risk of bias assessment was performed, and the review was not registered in PROSPERO as it did not include a meta-analysis.
resultsKey findings highlighted the advantages of PCD CT in imaging renal masses, adrenal adenomas, ovarian cancer, breast cancer, prostate cancer, pancreatic tumors, hepatocellular carcinoma, metastases, multiple myeloma, and lung cancer. Additionally, PCD CT has demonstrated improved lesion characterization and enhanced diagnostic accuracy in oncology. Despite its promising capabilities challenges related to data processing, storage, and accessibility remain.
conclusionAs PCD CT technology evolves, its integration into routine oncologic imaging has the potential to significantly enhance cancer diagnosis and patient management.
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