Evidence map›Paper›PMID 39609910›Full record

SynthesisSystematic reviews2024

Breast thermography: a systematic review and meta-analysis.

Ane Goñi-Arana, Jorge Pérez-Martín, Francisco Javier Díez

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

3 authors.

Ane Goñi-AranaDepartment of Artificial Intelligence, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal, 16, Madrid, 28040, Spain. agoni@dia.uned.es.
Jorge Pérez-MartínDepartment of Artificial Intelligence, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal, 16, Madrid, 28040, Spain.
Francisco Javier DíezDepartment of Artificial Intelligence, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal, 16, Madrid, 28040, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast thermography originated in the 1950s but was later abandoned due to the contradictory results obtained in the following decades. However, advances in infrared technology and image processing algorithms in the twenty-first century led to a renewed interest in thermography. This work aims to provide an updated and objective picture of the recent scientific evidence on its effectiveness, both as a screening and as a diagnostic tool.

methodsWe searched for clinical studies published between 2001 and May 31, 2023, in the databases PubMed and Scopus, that aimed to evaluate the effectiveness of digital, long-wave infrared imaging for detecting breast cancer. Additional documents were retrieved from the studies included in the systematic reviews that resulted from the search and by searching for the names of commercial systems. We limited our selection to studies that reported the sensitivity and specificity of breast thermography (or the data needed to calculate them) using images collected by themselves, with at least five breast cancer cases. Studies that considered breast diseases other than cancer to be positive or that did not use standard tests to set the ground truth diagnosis were excluded, as well as articles written in a language other than English and documents we could not access. We also conducted meta-analyses of proportions of the sensitivity and specificity values reported in the selected studies and a bivariate meta-analysis to account for the correlation between these metrics.

resultsOur systematic search resulted in 22 studies, with an average pooled sensitivity and specificity of 88.5% and 71.8%, respectively. However, the differences in patient recruitment, sample size, imaging protocol, equipment, and interpretation criteria yielded a high heterogeneity measure (79.3% and 99.1%

conclusionsOverall, thermography showed a high sensitivity in the selected studies, whereas specificity started off lower and increased over time. The most recent studies reported a combination of sensitivity and specificity comparable to standard diagnostic tests. Most of the selected studies were small and tend to include only patients with a suspicious mass that requires biopsy. However, larger studies with a wider variety of patient types (asymptomatic, women with dense breasts, etc.) have been published in the latest years.

Indexed as

Breast NeoplasmsThermographyBreastFemaleHumansSensitivity and SpecificityBreast cancerInfrared thermographyMeta-analysisSystematic reviewThermal imaging

Identifiers

PMID39609910
PMCPMC11603657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.