Evidence map›Paper›PMID 42240832›Full record

SynthesisPediatric radiology2026

Radiation dose and objective image quality of photon-counting detector computed tomography in pediatric imaging: a systematic review and meta-analysis.

Ceren Altintas Mese, Ismail Mese

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Pediatric radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ceren Altintas MeseDepartment of Pediatrics, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey.
Ismail MeseDepartment of Radiology, Uskudar State Hospital, Barbaros, Uskudar, Istanbul, Turkey. ismail_mese@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhoton-counting detector computed tomography (PCD-CT) offers potential advantages over conventional energy-integrating detector computed tomography (EID-CT) in pediatric imaging, but the available evidence has not yet been systematically synthesized.

objectiveTo compare radiation dose, image quality based on objective metrics, and iodinated contrast dose between PCD-CT and EID-CT in pediatric patients. MATERIALS AND

methodsA systematic search of PubMed, Scopus, and Cochrane CENTRAL through March 15, 2026, identified comparative studies of PCD-CT versus EID-CT in children 17 years of age or younger. Radiation dose outcomes, including volume computed tomography dose index (CTDIvol), dose-length product (DLP), and size-specific dose estimate (SSDE), were pooled as mean differences (MDs), and objective image quality outcomes, including signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), were pooled as standardized mean differences (SMDs; Hedges' g) using random-effects models. Prediction intervals were calculated for each pooled outcome. Subgroup analyses were performed by body region, and exploratory meta-regression with body region as a moderator was performed.

resultsTwelve comparative studies comprising 1,545 total study-arm observations or examinations were included in the meta-analysis, and 6 additional studies were included in the narrative synthesis. Compared with EID-CT, PCD-CT showed significantly lower CTDIvol (MD=-0.90 mGy; 95% confidence interval [CI]: -1.74 to -0.06; P=0.036; 95% prediction interval [PI]: -4.06 to 2.26) and significantly lower SSDE (MD=-1.35 mGy; 95% CI: -2.32 to -0.38; P=0.006; PI: -4.63 to 1.92). DLP showed a non-significant reduction (MD=-21.25 mGy·cm; 95% CI: -47.29 to 4.79; P=0.110; PI: -116.58 to 74.08). PCD-CT also demonstrated significantly higher SNR (SMD=0.42; 95% CI: 0.05 to 0.78; P=0.024; PI: -0.94 to 1.77) and a small significant increase in CNR (SMD=0.34; 95% CI: 0.02 to 0.66; P=0.037; PI: -0.66 to 1.34). All overall 95% prediction intervals crossed zero. The head subgroup showed the largest objective SNR difference (k=2; SMD=1.34; 95% CI: 1.12 to 1.56). Two studies reported 25-50% reductions in contrast dose while maintaining image quality based on objective metrics.

conclusionCompared with EID-CT, PCD-CT was associated with significantly lower CTDIvol and SSDE, and with significantly higher SNR and CNR; the reduction in DLP did not reach statistical significance. All overall 95% prediction intervals crossed zero, indicating that the magnitude and direction of benefit may vary across protocols and body regions. The most consistent dose reduction was observed in abdominopelvic imaging, and the largest objective SNR difference was observed in head computed tomography, although the clinical relevance of SNR/CNR differences remains to be established.

Indexed as

Radiation DosageTomography, X-Ray ComputedChildHumansPhotonsSignal-To-Noise RatioChildMeta-analysisPediatricsPhoton-counting computed tomographyRadiation dosageSignal-to-noise ratioSystematic review

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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.