Evidence map›Paper›PMID 30622686›Full record

ArticleComputational and structural biotechnology journal2019

Diagnostic Performance of Digital Breast Tomosynthesis for Breast Suspicious Calcifications From Various Populations: A Comparison With Full-field Digital Mammography.

Juntao Li, Hengwei Zhang, Hui Jiang, Xuhui Guo, Yinli Zhang, Dan Qi, Jitian Guan, Zhenzhen Liu, Erxi Wu, Suxia Luo

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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.

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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Clinical and X-ray characteristics for expressions of different receptors in patients with breast cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
    Article
  10. 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

10 authors at 4 institutions in 2 countries.

Juntao LiDepartment of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Hengwei ZhangDepartment of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Hui JiangDepartment of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Xuhui GuoDepartment of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Yinli ZhangDepartment of Rheumatology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Dan QiDepartment of Neurosurgery, Baylor Scott & White Health, Temple, TX 76508, USA.
Jitian GuanDepartment of Neurosurgery, Baylor Scott & White Health, Temple, TX 76508, USA.
Zhenzhen LiuDepartment of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Erxi WuDepartment of Neurosurgery, Baylor Scott & White Health, Temple, TX 76508, USA.
Suxia LuoDepartment of Medical Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
Zhengzhou University · CNBaylor Scott & White Health · USFirst Affiliated Hospital of Zhengzhou University · CNLivestrong Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic performance difference between digital breast tomosynthesis (DBT) and conventional full-field digital mammography (FFDM) for breast suspicious calcifications from various populations is unclear. The objective of this study is to determine whether DBT exhibits the diagnostic advantage for breast suspicious calcifications from various populations compared with FFDM. Three hundred and five patients were enrolled (of which seven patients with bilateral lesions) and 312 breasts images were retrospectively analyzed by three radiologists independently. The postoperative pathology of breast calcifications was the gold standard. Breast cancer was diagnosed utilizing DBT and FFDM with sensitivities of 92.9% and 88.8%, specificities of 87.9% and 75.2%, positive predictive values of 77.8% and 62.1%, negative predictive values of 96.4% and 93.6%, respectively. DBT exhibited significantly higher diagnostic accuracy for benign calcifications compared with FFDM (87.9%

Indexed as

ACR, American College of RadiologyACS, American Cancer SocietyAUC, The area under the ROC curveBI-RADS, The Breast Imaging Reporting and Data SystemBreast suspicious calcificationCC, Craniocaudal positionDBT, Digital breast tomosynthesisDCIS, Ductal carcinoma in situDigital breast tomosynthesisFFDM, Full-field digital mammographyFull-field digital mammographyMLO, Mediolateral oblique positionROC, The receiver operating characteristic.

Identifiers

PMID30622686
PMCPMC6317146
OpenAlexW2905879069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.