Evidence map›Paper›PMID 23151912›Full record

SynthesisEuropean journal of nuclear medicine and molecular imaging2013

Clinical usefulness of breast-specific gamma imaging as an adjunct modality to mammography for diagnosis of breast cancer: a systemic review and meta-analysis.

Yu Sun, Wei Wei, Hua-Wei Yang, Jian-Lun Liu

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of nuclear medicine and molecular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02556684 (A Prospective Study to Evaluate Dynamic Breast-Specific Gamma Imaging in Monitoring Tumor Responses in Patients With Locally Advanced Breast Cancer Undergoing Neoadjuvant Chemotherapy), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.4field-weighted citation impact, top 5% 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.

NCT02556684 unknown statusnot on this mapstarted 2015, after this paper: background citation

A Prospective Study to Evaluate Dynamic Breast-Specific Gamma Imaging in Monitoring Tumor Responses in Patients With Locally Advanced Breast Cancer Undergoing Neoadjuvant Chemotherapy

TypeobservationalSponsorZhejiang UniversityRan2015 to 2020Enrolled200ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 89 citations in OpenAlex.

  1. Current and future perspectives of molecular breast imaging with [European journal of nuclear medicine and molecular imaging · 2026
    Review
  2. Article
  3. Review
  4. Deep learning for differentiating benign from malignant tumors on breast-specific gamma image.Technology and health care : official journal of the European Society for Engineering and Medicine · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Comparison ofBMC cancer · 2020
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Methodological aspects ofClinical and translational imaging · 2016
    Review
  18. Article
  19. Article
  20. The role of general nuclear medicine in breast cancer.Journal of medical radiation sciences · 2015
    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

4 authors at 1 institution in 1 country.

Yu SunDepartment of Breast Surgery of Guangxi Cancer Hospital, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Wei Wei
Hua-Wei Yang
Jian-Lun Liu
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to assess the diagnostic performance of breast-specific gamma imaging (BSGI) as an adjunct modality to mammography for detecting breast cancer.

methodsComprehensive searches of MEDLINE (1984 to August 2012) and EMBASE (1994 to August 2012) were performed. A summary receiver operating characteristic curve (SROC) was constructed to summarize the overall test performance of BSGI. The sensitivities for detecting subcentimetre cancer and ductal carcinoma in situ (DCIS) were pooled. The potential of BSGI to complement mammography was also evaluated by identifying mammography-occult breast cancer.

resultsAnalysis of the studies revealed that the overall validity estimates of BSGI in detecting breast cancer were as follows: sensitivity 95 % (95 % CI 93-96 %), specificity 80 % (95 % CI 78-82 %), positive likelihood ratio 4.63 (95 % CI 3.13-6.85), negative likelihood ratio 0.08 (95 % CI 0.05-0.14), and diagnostic odds ratio 56.67 (95 % CI 26.68-120.34). The area under the SROC was 0.9552 and the Q* point was 0.8977. The pooled sensitivities for detecting subcentimetre cancer and DCIS were 84 % (95 % CI 80-88 %) and 88 % (95 % CI 81-92 %), respectively. Among patients with normal mammography, 4 % were diagnosed with breast cancer by BSGI, and among those with mammography suggestive of malignancy or new biopsy-proven breast cancer, 6 % were diagnosed with additional cancers in the breast by BSGI.

conclusionBSGI had a high diagnostic performance as an excellent adjunct modality to mammography for detecting breast cancer. The ability to identify subcentimetre cancer and DCIS was also high.

Indexed as

AnimalsBreastBreast NeoplasmsHumansMammographyOrgan SpecificityRadionuclide Imaging

Identifiers

PMID23151912
OpenAlexW2075220636

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.