Evidence map›Paper›PMID 33420200›Full record

ArticleScientific reports2021

Diagnostic accuracy of tomosynthesis-guided vacuum assisted breast biopsy of ultrasound occult lesions.

Suhaila Bohan, Marlina Tanty Ramli Hamid, Wai Yee Chan, Anushya Vijayananthan, Norlisah Ramli, Shaleen Kaur, Kartini Rahmat

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Tomosynthesis-Guided Biopsy: A Troubleshooting Guide.Diagnostics (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors at 3 institutions in 1 country.

Suhaila BohanDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia.
Marlina Tanty Ramli HamidDepartment of Radiology. Faculty of Medicine, University Teknologi MARA, Sungai Buloh Campus, Selangor, Malaysia.
Wai Yee ChanDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia.
Anushya VijayananthanDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia.
Norlisah RamliDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia.
Shaleen KaurDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia.
Kartini RahmatDepartment of Biomedical Imaging, University of Malaya Research Imaging Centre, 50603, Kuala Lumpur, Malaysia. katt_xr2000@yahoo.com.
University Malaya Medical Centre · MYUniversity of Malaya · MYHospital Sungai Buloh · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the diagnostic accuracy of digital breast tomosynthesis-guided vacuum assisted breast biopsy (DBT-VABB) of screening detected suspicious mammographic abnormalities comprising of calcifications, asymmetric densities, architectural distortions and spiculated masses. In this institutionally approved study, a total of 170 (n = 170) DBT-VABB were performed, 153 (90%) were for calcifications, 8 (4.7%) for spiculated mass, 5 (2.9%) for asymmetric density and 4 (2.4%) for architectural distortion. All these lesions were not detected on the corresponding ultrasound. Histopathology results revealed 140 (82.4%) benign, 9 (5.3%) borderline and 21 (12.4%) malignant lesions. The total upgrade rate at surgery was 40% for atypical ductal hyperplasia and 5.9% for ductal carcinoma in-situ. 3.6% discordant benign lesions showed no upgrade. DBT-VABB showed 100% specificity, 91.3% sensitivity and 100% positive predictive value (PPV) for detecting malignant lesions. The negative predictive value (NPV) was 80%. 2 (1.2%) patients had mild complications and 1 (0.6%) had severe pain. Our study showed that DBT-VABB was a safe and reliable method, with high sensitivity, specificity, PPV and NPV in the diagnosis of non-palpable benign and malignant breast lesions. Our data also confirmed the accuracy of DBT-VABB in detecting malignant lesions and we suggest further surgical excision in borderline lesions for a more accurate diagnostic evaluation.

Indexed as

AdultAgedBiopsyBreastBreast NeoplasmsCalcinosisCross-Sectional StudiesEarly Detection of CancerFemaleHumansMammographyMiddle AgedRetrospective StudiesUltrasonography

Identifiers

PMID33420200
PMCPMC7794227
OpenAlexW3120338610

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.