Evidence map›Paper›PMID 34439294›Full record

ArticleCancers2021

Low-Field NMR Relaxometry for Intraoperative Tumour Margin Assessment in Breast-Conserving Surgery.

Valeria Bitonto, Maria Rosaria Ruggiero, Alessandra Pittaro, Isabella Castellano, Riccardo Bussone, Lionel M Broche, David J Lurie, Silvio Aime, Simona Baroni, Simonetta Geninatti Crich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. BMagnetic resonance in medicine · 2025
    Article
  3. Molecules (Basel, Switzerland) · 2025
    Article
  4. Article
  5. 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

10 authors.

Valeria BitontoDepartment of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0003-2138-0658
Maria Rosaria RuggieroDepartment of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
Alessandra PittaroPathology Unit, Department of Medical Sciences, University of Turin, 10126 Torino, Italy.
Isabella CastellanoPathology Unit, Department of Medical Sciences, University of Turin, 10126 Torino, Italy.
Riccardo BussoneBreast Unit, Ospedale Cottolengo, 10152 Torino, Italy.
Lionel M BrocheAberdeen Biomedical Imaging Centre, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK.
David J LurieAberdeen Biomedical Imaging Centre, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK.ORCID 0000-0002-6009-3152
Silvio AimeDepartment of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
Simona BaroniDepartment of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0002-8683-3083
Simonetta Geninatti CrichDepartment of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0003-2998-5424

Funding

Associazione Italiana per la Ricerca sul Cancro 23267European Cooperation in Science and Technology 15209Fondazione Italiana per la Ricerca sul Cancro 22443H2020 Societal Challenges 668119Ministero dell'Istruzione, dell'Università e della Ricerca FOE contribution
6 · The paper itself

Abstract

As conserving surgery is routinely applied for the treatment of early-stage breast cancer, the need for new technology to improve intraoperative margin assessment has become increasingly important. In this study, the potential of fast field-cycling

Indexed as

breast cancerbreast-conserving surgerycross-membrane water exchangelow-field NMR relaxometrymargin assessment

Identifiers

PMID34439294
PMCPMC8392401

What OpenQuestion holds

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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.