Evidence map›Paper›PMID 39516430›Full record

ArticleMolecular imaging and biology2024

Comparison Between Prone SPECT-Based Semi-Quantitative Parameters and MBI-Based Semi-Quantitative Parameters in Patients with Locally Advanced Breast Cancer.

Alina van de Burgt, Floris H P van Velden, Christinne L S Corion, Angela Collarino, Renato A Valdés Olmos, Frits Smit, Lioe-Fee de Geus-Oei, Lenka M Pereira Arias-Bouda

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular imaging and biology, 2024. 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. Current and future perspectives of molecular breast imaging with [European journal of nuclear medicine and molecular imaging · 2026
    Review
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

8 authors.

Alina van de BurgtDepartment of Nuclear Medicine, Alrijne Hospital, Leiderdorp, The Netherlands. a.van_de_burgt@lumc.nl.ORCID 0000-0001-8170-0583
Floris H P van VeldenDepartment of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Christinne L S CorionDepartment of Surgery, Haaglanden Medical Center, The Hague, The Netherlands.
Angela CollarinoNuclear Medicine Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Renato A Valdés OlmosDepartment of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Frits SmitDepartment of Nuclear Medicine, Alrijne Hospital, Leiderdorp, The Netherlands.
Lioe-Fee de Geus-OeiDepartment of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Lenka M Pereira Arias-BoudaDepartment of Nuclear Medicine, Alrijne Hospital, Leiderdorp, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluates the semi-quantitative single-photon emission computed tomography (SPECT) parameters of prone SPECT using [ PROCEDURES: Patients with proven LABC with a tumor ≥ 2 cm on mammography and an indication for MBI using [

resultsEighteen patients were included. Early SUV

conclusionsIn LABC patients it is feasible to obtain semi-quantitative parameters from prone SPECT/CT. The FTV derived from early prone SPECT/CT is comparable with MBI-based FTV. Studies with comprehensive clinical parameters are needed to establish the clinical relevance of these semi-quantitative parameters, including WOR, for response prediction before its use in clinical routine.

Indexed as

Breast NeoplasmsTomography, Emission-Computed, Single-PhotonAdultAgedFemaleHumansMiddle AgedMolecular ImagingProne PositionTechnetium Tc 99m SestamibiTumor BurdenTechnetium Tc 99m Sestamibi[99mTc]Tc-sestamibiLocally advanced breast cancerMolecular breast imagingQuantitative SPECTResponse predictionSPECT/CT

Identifiers

PMID39516430
PMCPMC11634910

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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.