Evidence map›Paper›PMID 36084275›Full record

ArticleJCO clinical cancer informatics2022

Programmatic Implementation of a Custom Subspecialized Oncologic Imaging Workflow Manager at a Tertiary Cancer Center.

Anton S Becker, Jeeban P Das, Sungmin Woo, Pierre Elnajjar, Joshua Chaim, Joseph P Erinjeri, Hedvig Hricak, Hebert Alberto Vargas

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors.

Anton S BeckerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8372-6496
Jeeban P DasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Sungmin WooDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Pierre ElnajjarDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Joshua ChaimDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Joseph P ErinjeriDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Hedvig HricakDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Hebert Alberto VargasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeTo evaluate whether a custom programmatic workflow manager reduces reporting turnaround times (TATs) from a body oncologic imaging workflow at a tertiary cancer center.

methodsA custom software program was developed and implemented in the programming language R. Other aspects of the workflow were left unchanged. TATs were measured over a 12-month period (June-May). The same prior 12-month period served as a historical control. Median TATs of magnetic resonance imaging (MRI) and computed tomography (CT) examinations were compared with a Wilcoxon test. A chi-square test was used to compare the numbers of examinations reported within 24 hours and after 72 hours as well as the proportions of examinations assigned according to individual radiologist preferences.

resultsFor all MRI and CT examinations (124,507 in 2019/2020 and 138,601 in 2020/2021), the median TAT decreased from 4 (interquartile range: 1-22 hours) to 3 hours (1-17 hours). Reports completed within 24 hours increased from 78% (124,127) to 89% (138,601). For MRI, TAT decreased from 22 (5-49 hours) to 8 hours (2-21 hours), and reports completed within 24 hours increased from 55% (14,211) to 80% (23,744). For CT, TAT decreased from 3 (1-19 hours) to 2 hours (1-13 hours), and reports completed within 24 hours increased from 84% (82,342) to 92% (99,922). Delayed reports (with a TAT > 72 hours) decreased from 17.0% (4,176) to 2.2% (649) for MRI and from 2.5% (2,500) to 0.7% (745) for CT. All differences were statistically significant (

conclusionThe custom workflow management software program significantly decreased MRI and CT report TATs.

Indexed as

NeoplasmsTomography, X-Ray ComputedHumansMagnetic Resonance ImagingMedical OncologyResearch ReportWorkflow

Identifiers

PMID36084275
PMCPMC9848557

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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.