Evidence map›Paper›PMID 39488412›Full record

ArticleBMJ open2024

Microwave imaging for breast cancer screening: protocol for an open, multicentric, interventional, prospective, non-randomised clinical investigation to evaluate cancer detection capabilities of MammoWave system on an asymptomatic population across multiple European countries.

Daniel Álvarez Sánchez-Bayuela, Juan Fernández Martín, Gianluigi Tiberi, Navid Ghavami, Rubén Giovanetti González, Lina Marcela Cruz Hernánez, Paul Martín Aguilar Angulo, Aarón Darío Martínez Gómez, Ana Rodríguez Sánchez, Alessandra Bigotti and 5 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06291896 (A Multicentric, Prospective Clinical Investigation to Evaluate Microwave Imaging Via MammoWave® in a Population-based Screening Program for Early Breast Cancer Detection to Make Breast Cancer Screening More Accurate, Inclusive, and Female-friendly), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT06291896 narecruitingnot on this map

A Multicentric, Prospective Clinical Investigation to Evaluate Microwave Imaging Via MammoWave® in a Population-based Screening Program for Early Breast Cancer Detection to Make Breast Cancer Screening More Accurate, Inclusive, and Female-friendly

TypeinterventionalSponsorUmbria Bioengineering TechnologiesRan2024 to 2026Enrolled10,000ConditionsWomen's Health: Neoplasm of BreastArmsMammoWave
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Daniel Álvarez Sánchez-BayuelaInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Juan Fernández MartínInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Gianluigi TiberiLondon South Bank University, London, UK tiberig@lsbu.ac.uk.ORCID http://orcid.org/0000-0001-8787-1295
Navid GhavamiUBT - Umbria Bioengineering Technologies, Perugia, Italy.
Rubén Giovanetti GonzálezInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Lina Marcela Cruz HernánezInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Paul Martín Aguilar AnguloInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Aarón Darío Martínez GómezInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Ana Rodríguez SánchezInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.
Alessandra BigottiUBT - Umbria Bioengineering Technologies, Perugia, Italy.
Banafsheh KhalesiUBT - Umbria Bioengineering Technologies, Perugia, Italy.
Letizia PontorieroFondazione Toscana Life Sciences, Siena, Italy.
Massimo CalabreseIRCCS Ospedale Policlinico San Martino, Genova, Italy.
Alberto Stefano TagliaficoIRCCS Ospedale Policlinico San Martino, Genova, Italy.
Cristina Romero CastellanoInstituto de Investigación Sanitaria de Castilla - La Mancha, Toledo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMicrowave imaging presents several potential advantages including its non-ionising and harmless nature. This open, multicentric, interventional, prospective, non-randomised trial aims to validate MammoWave's artificial intelligence (AI)-based classification algorithm, leveraging microwave imaging, to achieve a sensitivity exceeding 75% and a specificity exceeding 90% in breast screening. METHODS AND ANALYSIS: 10 000 volunteers undergoing regular mammographic breast cancer screening will be recruited across 9 European centres and invited to participate in the clinical study, involving MammoWave testing on both breasts. MammoWave results will be checked against the reference standard, to be intended as the output of conventional breast examination path (with histological confirmation of cancer cases) with 2 years follow-up. Anonymised clinical and MammoWave's results, including microwave images, associated features and a label provided by the AI-based classification algorithm, will be collected and stored in a dedicated electronic case report form. The prospective study will involve a comparative analysis between the output of the conventional breast examination path (control intervention) and the labels provided by MammoWave's AI system (experimental intervention). These labels will categorise breasts into two groups: breast With Suspicious Finding, indicating the presence of a suspicious lesion or No Suspicious Finding, indicating the absence of a lesion or the presence of a low-suspicion lesion. This trial aims to provide evidence regarding the novel MammoWave's AI system for detecting breast cancer in asymptomatic populations during screening. ETHICS AND DISSEMINATION: This study was approved by the Research Ethics Committee of the Liguria Region (CET), Italy (CET-Liguria: 524/2023-DB id 13399), the Research Ethics Committee of Complejo Hospitalario de Toledo (CEIC), Spain (CEIC-1094), the National Ethics Committee for Clinical Research (CEIC), Portugal (CEIC-2311KC814), the Bioethical Committee of Pomeranian Medical University in Szczecin, Poland (KB-006/23/2024) and the Zurich Cantonal Ethics Commission, Switzerland (BASEC 2023-D0101). The findings of this study will be disseminated through academic and scientific conferences as well as peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT06291896.

Indexed as

Breast NeoplasmsEarly Detection of CancerMicrowave ImagingAlgorithmsArtificial IntelligenceEuropeFemaleHumansMammographyMicrowavesMulticenter Studies as TopicProspective StudiesSensitivity and SpecificityArtificial IntelligenceBreast imagingMass Screening

Identifiers

PMID39488412
PMCPMC11535703

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.