Evidence map›Paper›PMID 42318441›Full record

ArticleFrontiers in nuclear medicine2026

Impact of reader experience on the time-saving potential of a novel computer-aided tool for Ann Arbor staging of pediatric hodgkin lymphoma.

Iryna Vasyliv, Michael Joseph Barrow, Lucia Baratto, Hyun Gi Kim, Vanessa Ricarda von Krüchten, Yashas Ullas Lokesha, Amir Hossein Sarrami, Marine Moeremans, Kip E Guja, Kristina Elizabeth Hawk and 1 more

Abstract read
In one paragraph

Article in Frontiers in nuclear medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Iryna VasylivDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Michael Joseph BarrowDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Lucia BarattoDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Hyun Gi KimDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Vanessa Ricarda von KrüchtenDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Yashas Ullas LokeshaDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Amir Hossein SarramiDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Marine MoeremansDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Kip E GujaDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Kristina Elizabeth HawkDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.
Heike E Daldrup-LinkDepartment of Radiology, Stanford University, School of Medicine, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate staging of Hodgkin lymphoma in children is important for selecting appropriate therapies. However, evaluation of Ann Arbor staging criteria on whole-body Objective: To determine if a novel computer-aided staging tool can improve the time-efficiency and accuracy of Ann Arbor staging. Methods: Result: Use of the tool significantly reduced Ann Arbor staging time (10.8 ± 6.33 min) compared to traditional staging without the tool (13.87 ± 8.16 min; Conclusion: The computer-aided staging tool significantly improved time-efficiency and accuracy of Ann Arbor staging, especially for less experienced readers. We provide the tool as a freely accessible web resource.

Indexed as

18F-FDG PET/MRIAnn Arbor stagingcomputer-aided toolpediatric hodgkin lymphomatime efficiency

Identifiers

PMID42318441
PMCPMC13272467

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Registered trials

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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.