Evidence map›Paper›PMID 28936601›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

Texture analysis of high-resolution dedicated breast

Alexis Moscoso, Álvaro Ruibal, Inés Domínguez-Prado, Anxo Fernández-Ferreiro, Míchel Herranz, Luis Albaina, Sonia Argibay, Jesús Silva-Rodríguez, Juan Pardo-Montero, Pablo Aguiar

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Association ofMolecular imaging and radionuclide therapy · 2026
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  5. Relationship Between [European journal of breast health · 2025
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  9. EJNMMI research · 2023
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  11. Review
  12. Can Radiomics Analyses inMolecular imaging and radionuclide therapy · 2022
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  14. Frontiers and hotspots ofFrontiers in oncology · 2022
    Article
  15. Article
  16. Application-specific nuclear medicalPhysics in medicine and biology · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Alexis MoscosoNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Álvaro RuibalNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Inés Domínguez-PradoNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Anxo Fernández-FerreiroPharmacy Department and Pharmacology group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Míchel HerranzNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Luis AlbainaDepartment of General Surgery, University Hospital A Coruña (SERGAS), A Coruña, Spain.
Sonia ArgibayNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Jesús Silva-RodríguezNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain.
Juan Pardo-MonteroNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain. juan.pardo.montero@sergas.es.
Pablo AguiarNuclear Medicine Department and Molecular Imaging Group, Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Travesía da Choupana s/n, Santiago de Compostela, 15706, Spain. pablo.aguiar.fernandez@sergas.es.ORCID http://orcid.org/0000-0002-7322-2195
Complejo Hospitalario Universitario de Santiago · ESUniversidade de Santiago de Compostela · ESUniversidade da Coruña · ES

Funding

ISCIII PI14/02001Miguel Servet CP12/03162Ramón y Cajal RYC-2015- 17430
6 · The paper itself

Abstract

purposeThis study aims to determine whether PET textural features measured with a new dedicated breast PET scanner reflect biological characteristics of breast tumors.

methodsOne hundred and thirty-nine breast tumors from 127 consecutive patients were included in this analysis. All of them underwent a

resultsAlong with well-established associations, new correlations were found. HER2-positive tumors had significantly higher uptake (p < 0.001, AUCs > 0.70) and presented different global and regional heterogeneity (p = 0.002, p = 0.016, respectively, AUCs < 0.70). Nine out of ten analyzed features were significantly associated with immunohistochemical subtype. Uptake was lower for LA tumors (p < 0.001) with AUCs ranging from 0.71 to 0.88 for each subgroup comparison. Heterogeneity metrics were significantly associated when comparing LA and LB - (p < 0.01), being regional heterogeneity metrics more discriminative than any other parameter (AUC = 0.80 compared to AUC = 0.71 for SUV). LB+ and HER2pnl tumors also showed more regional heterogeneity than LA tumors (AUCs = 0.79 and 0.84, respectively). After comparison with whole-body PET studies, we observed an overall improvement in the classification ability of both non-heterogeneity metrics and textural features.

conclusionsPET parameters extracted from high-resolution dedicated breast PET images showed new and stronger correlations with immunohistochemical factors and immunohistochemical subtype of breast cancer compared to whole-body PET.

Indexed as

Fluorodeoxyglucose F18Image Processing, Computer-AssistedPositron-Emission TomographySignal-To-Noise RatioBreast NeoplasmsFemaleHumansImmunohistochemistryMaleMiddle AgedFluorodeoxyglucose F1818F-FDGBreast cancerDedicated breastHeterogeneityPETTexture analysis

Identifiers

PMID28936601
OpenAlexW2759799937

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.