Evidence map›Paper›PMID 32540554›Full record

SynthesisBreast (Edinburgh, Scotland)2020

Diagnostic accuracy of contrast-enhanced spectral mammography for breast lesions: A systematic review and meta-analysis.

Matteo Basilio Suter, Filippo Pesapane, Giorgio Maria Agazzi, Tania Gagliardi, Olga Nigro, Anna Bozzini, Francesca Priolo, Silvia Penco, Enrico Cassano, Claudio Chini and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. State-of-the-art for contrast-enhanced mammography.The British journal of radiology · 2024
    Review
  10. Article
  11. Article
  12. Comparative Evaluation of Contrast-Enhanced Spectral Mammography and Digital Breast Tomosynthesis for Diagnosing and Treating Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

11 authors.

Matteo Basilio SuterMedical Oncology, ASST Sette Laghi, Viale Borri 57, Varese, Italy. Electronic address: matteosuter@gmail.com.
Filippo PesapaneIEO - European Institute of Oncology IRCCS, Breast Imaging Division, Via Giuseppe Ripamonti 435, Milan, Italy. Electronic address: filippopesapane@gmail.com.
Giorgio Maria AgazziUniversity of Brescia, Department of Radiology, P.le Spedali Civili 1, 25123, Brescia, Italy. Electronic address: giorgiomaria.agazzi@gmail.com.
Tania GagliardiDepartment of Radiology, Royal Marsden Hospital, London, UK. Electronic address: tanja.gagliardi@bluewin.ch.
Olga NigroMedical Oncology, ASST Sette Laghi, Viale Borri 57, Varese, Italy. Electronic address: nigro.olga3@gmail.com.
Anna BozziniIEO - European Institute of Oncology IRCCS, Breast Imaging Division, Via Giuseppe Ripamonti 435, Milan, Italy. Electronic address: anna.bozzini@ieo.it.
Francesca PrioloIEO - European Institute of Oncology IRCCS, Breast Imaging Division, Via Giuseppe Ripamonti 435, Milan, Italy. Electronic address: francesca.priolo@ieo.it.
Silvia PencoIEO - European Institute of Oncology IRCCS, Breast Imaging Division, Via Giuseppe Ripamonti 435, Milan, Italy. Electronic address: silvia.penco@ieo.it.
Enrico CassanoIEO - European Institute of Oncology IRCCS, Breast Imaging Division, Via Giuseppe Ripamonti 435, Milan, Italy. Electronic address: erinco.cassano@ieo.it.
Claudio ChiniMedical Oncology, ASST Sette Laghi, Viale Borri 57, Varese, Italy. Electronic address: claudio.chini@asst-settelaghi.it.
Alessandro SquizzatoDepartment of Medicine and Surgery, University of Insubria, Como, Italy. Electronic address: alessandro.squizzato@uninsubria.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer diagnosis and staging is based on mammography, ultrasound, and magnetic resonance imaging (MRI). Contrast enhanced spectral mammography (CESM) has gained momentum as an innovative and clinically useful method for breast assessment. CESM is based on abnormal enhancement of neoplastic tissue compared to surrounding breast tissue. We performed a systematic review of prospective trial to evaluate its diagnostic performance, following standard PRISMA-DTA. We used a bivariate random-effects regression approach to obtain summary estimates of both sensitivity and specificity of CESM. 8 studies published between 2003 and 2019 were included in the meta-analysis for a total of 945 lesions. The summary area under the curve obtained from all the study was 89% [95% CI 86%-91%], with a sensitivity of 85% [95% CI 73%-93%], and a specificity of 77% [95% CI 60%-88%]. With a pre-test probability of malignancy of 57% a positive finding at CESM gives a post-test probability of 83% while a negative finding a post-test probability of 20%. CESM shows a suboptimal sensitivity and specificity in the diagnosis of breast cancer in a selected population, and at present time, it could be considered only as a possible alternative test for breast lesions assessment when mammography and ultrasound are not conclusive or MRI is contraindicated or not available.

Indexed as

Contrast MediaAdultAgedAged, 80 and overArea Under CurveBreast NeoplasmsDiagnosis, DifferentialFemaleHumansMammographyMiddle AgedSensitivity and SpecificitySpectrum AnalysisContrast MediaBreast neoplasmsContrast enhanced spectral mammographyMammographyMeta-analysisSystematic review

Identifiers

PMID32540554
PMCPMC7375655

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.