Evidence map›Paper›PMID 35053436›Full record

ArticleCancers2022

Quantitative Analysis of SPECT-CT Data in Metastatic Breast Cancer Patients-The Clinical Significance.

Mirela Gherghe, Mario-Demian Mutuleanu, Adina Elena Stanciu, Ionela Irimescu, Alexandra Lazar, Xenia Bacinschi, Rodica Maricela Anghel

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Mirela GhergheNuclear Medicine Department, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania.
Mario-Demian MutuleanuNuclear Medicine Department, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania.ORCID 0000-0002-0483-5908
Adina Elena StanciuCarcinogenesis and Molecular Biology Department, Institute of Oncology "Prof.Dr. Alexandru Trestioreanu", 022328 Bucharest, Romania.ORCID 0000-0002-9494-6686
Ionela IrimescuNuclear Medicine Department, Institute of Oncology "Prof.Dr. Alexandru Trestioreanu", 022328 Bucharest, Romania.ORCID 0000-0002-4476-469X
Alexandra LazarNuclear Medicine Department, Institute of Oncology "Prof.Dr. Alexandru Trestioreanu", 022328 Bucharest, Romania.ORCID 0000-0003-1832-4719
Xenia BacinschiOncology Department, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania.
Rodica Maricela AnghelOncology Department, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · ROInstitutul Oncologic Bucuresti · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the potential added value of the SPECT-CT quantitative analysis in metastatic breast cancer lesions detection and differentiation from degenerative lesions.

methodsThis prospective monocentric study was conducted on 70 female patients who underwent SPECT-CT bone scans using

resultsThe SUVmax value was significantly higher in metastatic bone lesions than in degenerative lesions (

conclusionQuantitative analysis performed using SPECT-CT data can improve the diagnostic accuracy in differentiating between metastatic bone lesions and degenerative lesions, thus leading to appropriate treatment and better follow-up in metastatic breast cancer patients.

Indexed as

bone degenerative lesionsbone metastatic lesionsquantitative analysisSPECT-CTSUVmax

Identifiers

PMID35053436
PMCPMC8773966
OpenAlexW4206794252

What OpenQuestion holds

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LicenceCC BY
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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.