Evidence map›Paper›PMID 40694234›Full record

ArticlePhysical and engineering sciences in medicine2025

Optimizing LM-DRAMA parameters and non-local means filtering to improve small-lesion detectability in SiPM-based TOF breast PET.

Takuro Shiiba, Hana Katakami, Aiko Naito, Maki Takamura, Masanobu Ishiguro, Masanori Watanabe, Masaki Uno

Abstract read
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In one paragraph

Article in Physical and engineering sciences in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Takuro ShiibaDepartment of Molecular Imaging, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. takuro.shiiba@fujita-hu.ac.jp.ORCID http://orcid.org/0000-0001-5515-091X
Hana KatakamiFaculty of Radiological Technology, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Aiko NaitoDepartment of Radiology, Fujita Health University Hospital, 1-98, Dengakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Maki TakamuraDepartment of Radiology, Fujita Health University Hospital, 1-98, Dengakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Masanobu IshiguroDepartment of Radiology, Fujita Health University Hospital, 1-98, Dengakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Masanori WatanabeDepartment of Radiology, Fujita Health University Hospital, 1-98, Dengakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Masaki UnoDepartment of Radiology, Fujita Health University Hospital, 1-98, Dengakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.

Funding

Aichi Cancer Research Foundation 24-8599
6 · The paper itself

Abstract

This study aimed to optimize image reconstruction parameters for a dedicated time-of-flight (TOF) breast positron emission tomography (PET) system equipped with silicon photomultipliers (SiPMs) that maximize lesion detectability while minimizing image noise. A cylindrical phantom containing four hot spheres (3-10 mm diameter) was scanned at sphere-to-background ratios of 4:1, 6:1, and 8:1. All data were reconstructed using a 3D list-mode dynamic row-action maximum likelihood algorithm with β values of 10-200, followed by non-local means (NLM) filtering at intensities of 0.5-2.0 or no filtering. Image quality was evaluated using background coefficient of variation (COV

Indexed as

BreastBreast NeoplasmsImage Processing, Computer-AssistedPositron-Emission TomographySiliconAlgorithmsFemaleHumansPhantoms, ImagingSignal-To-Noise RatioSiliconDedicated breast positron emission tomographyDynamic row-action maximum likelihood algorithmNon-local means filterSilicon photomultiplier

Identifiers

PMID40694234

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.