Evidence map›Paper›PMID 40660909›Full record

ArticleMedical physics2025

Comparison of three reconstruction algorithms for low-dose phase-contrast computed tomography of the breast with synchrotron radiation.

Sandro Donato, Simone Caputo, Luca Brombal, Bruno Golosio, Renata Longo, Giuliana Tromba, Raffaele G Agostino, Gianluigi Greco, Benedicta Arhatari, Chris Hall and 10 more

Abstract readComparative Study
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

20 authors.

Sandro DonatoDepartment of, Mathematics and Computer Science, University of Calabria, Rende, Cosenza, Italy.
Simone CaputoDepartment of Physics, University of Milano-Bicocca, Milano, Italy.
Luca BrombalDepartment of Physics, University of Trieste, Trieste (TS), Italy.
Bruno GolosioDepartment of Physics, University of Cagliari, Monserrato (CA), Italy.
Renata LongoDepartment of Physics, University of Trieste, Trieste (TS), Italy.
Giuliana TrombaElettra-Sincrotrone Trieste S.C.p.A., Trieste (TS), Italy.
Raffaele G AgostinoDepartment of Physics and STAR-Lab, University of Calabria, Rende, Cosenza, Italy.
Gianluigi GrecoDepartment of, Mathematics and Computer Science, University of Calabria, Rende, Cosenza, Italy.
Benedicta ArhatariAustralian Synchrotron, ANSTO, Clayton, Australia.
Chris HallAustralian Synchrotron, ANSTO, Clayton, Australia.
Anton MaksimenkoAustralian Synchrotron, ANSTO, Clayton, Australia.
Daniel HausermannAustralian Synchrotron, ANSTO, Clayton, Australia.
Darren LockieMaroondah BreastScreen, Ringwood East, Australia.
Jane FoxFaculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia.
Beena KumarFaculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia.
Sarah LewisFaculty of Health Sciences, The University of Sydney, Lidcombe, Australia.
Patrick C BrennanFaculty of Health Sciences, The University of Sydney, Lidcombe, Australia.
Harry M QuineySchool of Physics, The University of Melbourne, Parkville, Australia.
Seyedamir T TabaFaculty of Health Sciences, The University of Sydney, Lidcombe, Australia.
Timur E GureyevSchool of Physics, The University of Melbourne, Parkville, Australia.

Funding

National Health and Medical Research Council, Australia APP2011204
6 · The paper itself

Abstract

backgroundPhase-contrast breast CT imaging holds promise for improved diagnostic accuracy, but an optimal reconstruction algorithm must balance objective image quality metrics with subjective radiologist preferences. PURPOSE: This study systematically compares three reconstruction algorithms-filtered back projection (FBP), unified tomographic reconstruction (UTR), and customized simultaneous algebraic reconstruction technique (cSART)-to identify the most suitable approach for phase-contrast breast CT imaging.

methodsFresh mastectomy samples were scanned at the Australian synchrotron using monochromatic 32 keV X-rays, a mean glandular dose of 2 mGy, flat-panel detectors with 0.1 mm pixels, and 6-m distance between the rotation stage and the detector. Paganin's phase retrieval method was used in conjunction with all three CT reconstruction algorithms. Objective metrics, including spatial resolution, contrast, signal-to-noise, and contrast-to-noise, were evaluated alongside subjective assessments by seven experienced radiologists. Ratings included perceptible contrast, sharpness, noise, calcification visibility, and overall quality.

resultscSART excelled in objective metrics, outperforming UTR and FBP. However, subjective evaluations favored FBP due to its higher image contrast, revealing a discrepancy between objective and subjective assessments.

conclusionsThe findings highlight the contrast-focused nature of radiologists' subjective assessments and the potential of cSART for delivering superior objective image quality. These insights inform the development of hybrid evaluation tools and guide clinical translation for future live patient imaging studies.

Indexed as

AlgorithmsBreastImage Processing, Computer-AssistedRadiation DosageSynchrotronsTomography, X-Ray ComputedFemaleHumansMammographySignal-To-Noise Ratiobreast CTreconstruction algorithmssynchrotron radiation

Identifiers

PMID40660909
PMCPMC12260779

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Registered trials

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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.