Evidence map›Paper›PMID 36604648›Full record

ArticleBMC medical imaging2023

Clinical performance of digital breast tomosynthesis-guided vacuum-assisted biopsy: a single-institution experience in Japan.

Mirai Ido, Masayuki Saito, Hirona Banno, Yukie Ito, Manami Goto, Takahito Ando, Junko Kousaka, Yukako Mouri, Kimihito Fujii, Tsuneo Imai and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Tomosynthesis-Guided Biopsy: A Troubleshooting Guide.Diagnostics (Basel, Switzerland) · 2025
    Review
  3. 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

13 authors at 2 institutions in 1 country.

Mirai IdoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Masayuki SaitoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Hirona BannoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Yukie ItoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Manami GotoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Takahito AndoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Junko KousakaDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Yukako MouriDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Kimihito FujiiDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Tsuneo ImaiDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Shogo NakanoDivision of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan. snakano1@aichi-med-u.ac.jp.
Kojiro SuzukiDepartment of Radiology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute-City, Aichi, 480-1195, Japan.
Kenta MurotaniBiostatistic Center, Graduate School of Medicine, Kurume University, 67 Asahi-machi Kurume, Fukuoka, 80-0011, Japan.
Aichi Medical University · JPKurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to evaluate the clinical performance of Digital Breast Tomosynthesis guided vacuum-assisted biopsy (DBT-VAB) for microcalcifications in the breast.

methodsRetrospective review of 131 mammography-guided VABs at our institution were performed. All of the targets were calcification lesion suspicious for cancer. 45 consecutive stereotactic vacuum-assisted biopsies (ST-VABs) and 86 consecutive DBT-VABs were compared. Written informed consent was obtained. Tissue sampling methods and materials were the same with both systems. Student's t-test was used to compare procedure time and the Fisher's exact test was used to compare success rate, complications, and histopathologic findings for the 2 methods.

resultsThe tissue sampling success rate was 95.6% for ST-VAB (43/45) and 97.7% (84/86) for DBT-VAB. Time for positioning (10.6 ± 6.4 vs. 6.7 ± 5.3 min), time for biopsy (33.4 ± 13.1 vs. 22.5 ± 13.1 min), and overall procedure time (66.6 ± 16.6 min vs. 54.5 ± 13.0 min) were substantially shorter with DBT-VAB (P < 0.0001). There were no differences in the distribution of pathological findings between the 2 groups.

conclusionDepth information and stable visibility of the target provided by DBT images led to quick decisions about target coordinates and improved the clinical performance of microcalcification biopsies.

Indexed as

Breast NeoplasmsCalcinosisBiopsyBiopsy, NeedleBreastFemaleHumansImage-Guided BiopsyJapanMammographyRetrospective StudiesBreast cancerBreast microcalcificationsDigital breast tomosynthesisDigital breast tomosynthesis–guided vacuum-assisted biopsyStereotactic biopsy

Identifiers

PMID36604648
PMCPMC9817251
OpenAlexW4313561934

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.