Evidence map›Paper›PMID 34943639›Full record

ArticleDiagnostics (Basel, Switzerland)2021

BatchBMD as an Efficient and Accurate Dual-Energy X-ray Absorptiometry Report Generator.

Chun-Hsiang Chan, Wen-Chi Huang, Yi-Chien Lu, Hsing-Fen Hsiao, Wing P Chan

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 79% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Chun-Hsiang ChanDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.ORCID 0000-0002-0621-2325
Wen-Chi HuangDepartment of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan.
Yi-Chien LuDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.
Hsing-Fen HsiaoDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.
Wing P ChanDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.ORCID 0000-0001-8322-6336
Wan Fang Hospital · TWNational Taiwan University · TW

Funding

Ministry of Education Higher Education Sprout Project, Taiwan DP2-108-21121-01-A-04
6 · The paper itself

Abstract

Dual-energy X-ray absorptiometry is the gold standard for evaluating Bone Mineral Density (BMD); however, a typical BMD report is generated in a time-inefficient manner and is prone to error. We developed a rule-based automated reporting system, BatchBMD, that accelerates DXA reporting while improving its accuracy over current systems. BatchBMD generates a structured report, customized to the specific clinical purpose. To compare BatchBMD to a Web-based Reporting (WBR) system for efficiency and accuracy, 500 examinations were randomly chosen from those performed at the Taipei Municipal Wanfang Hospital from January to March 2021. The final assessment included all 2326 examinations conducted from September 2020 to March 2021. The average reporting times were 6.7 and 10.8 min for BatchBMD and the WBR system, respectively, while accuracy was 99.4% and 98.2%, respectively. Most of the errors made by BatchBMD were digit errors in the appendicular skeletal muscle index. After correcting this, 100% accuracy across all 2326 examinations was validated. This automated and accurate BMD reporting system significantly reduces report production workload for radiologists and technicians while increasing productivity and quality. Additionally, the portable software, which employs a simple framework, can reduce deployment costs in clinical practice.

Indexed as

automated reporting systembone mineral densitydual-energy X-ray absorptiometry

Identifiers

PMID34943639
PMCPMC8700356
OpenAlexW4200128314

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.