Evidence map›Paper›PMID 41893830›Full record

ArticleTomography (Ann Arbor, Mich.)2026

Evaluation of Radiation Dose and Image Quality in the Transition from Conventional Pelvimetry to Low-Dose Helical CT Pelvimetry.

K Shahgeldi, M Parenmark, L Claesson, T M Svahn

Abstract readComparative Study
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 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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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

K ShahgeldiDepartment of Radiation Therapy, Uppsala University Hospital, 751 85 Uppsala, Sweden.
M ParenmarkDepartment of Imaging and Functional Medicine, Division Diagnostics, Gävle Hospital, Region Gävleborg, 801 88 Gävle, Sweden.
L ClaessonDepartment of Imaging and Functional Medicine, Division Diagnostics, Gävle Hospital, Region Gävleborg, 801 88 Gävle, Sweden.
T M SvahnDepartment of Imaging and Functional Medicine, Division Diagnostics, Gävle Hospital, Region Gävleborg, 801 88 Gävle, Sweden.ORCID 0000-0003-4754-9626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present study aimed to assess the radiation dose associated with low-dose (LD) CT pelvimetry compared with conventional radiography and to evaluate the adequacy of the resulting image quality.

methodsThe absorbed dose was measured using thermoluminescent dosimeters positioned in an anthropomorphic female phantom, including uterine locations, to estimate the fetal dose. Conventional radiographic pelvimetry and LD-CT pelvimetry were performed using clinically implemented protocols. Effective dose was calculated using Monte Carlo-based modeling applying acquisition parameters and retrospective patient dose registry data. Image quality of LD-CT pelvimetry was independently evaluated in 14 consecutive clinical cases using a four-point ordinal scale.

resultsLD-CT pelvimetry reduced the mean absorbed pelvic dose by approximately 50% compared with conventional pelvimetry (0.18 vs. 0.39 mGy) and decreased estimated fetal dose by 40% (0.21 vs. 0.37 mGy). These estimates were based on standardized single acquisitions and did not incorporate additional radiation from retakes commonly observed in conventional practice. CT demonstrated substantially more homogeneous dose distribution, whereas conventional pelvimetry exhibited marked heterogeneity with peak values up to 2.3 mGy. The maternal effective dose was lower for LD-CT (0.16 mSv) than for conventional pelvimetry (0.36 mSv); inclusion of retakes increased the conventional effective dose to 0.71 mSv. All CT examinations were diagnostically adequate, and no recalls were required.

conclusionsOptimized low-dose CT pelvimetry significantly reduces radiation dose compared with conventional radiographic pelvimetry while maintaining reliable diagnostic image quality. These results support the clinical adoption of CT-based pelvimetry as a dose-efficient and reproducible alternative to conventional techniques.

Indexed as

PelvimetryRadiation DosageTomography, Spiral ComputedFemaleFetusHumansMonte Carlo MethodPhantoms, ImagingRetrospective StudiesThermoluminescent Dosimetryeffective dosefetal doseimage qualitylow-dose CTMonte Carlo simulationobstetric imagingpelvimetryradiation dose

Identifiers

PMID41893830
PMCPMC13030744

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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.