Evidence map›Paper›PMID 40862089›Full record

ArticleJournal of the Endocrine Society2025

Comparison of BoneXpert and IB-Lab-PANDA automated Bone Age Evaluation in Children With Growth and Puberty Disorders.

Inge-Lore Ruiz-Arana, Victor Lechanteur, Kanetee Busiah, Thérèse Bouthors, Maria-Christina Antoniou, Sophie Stoppa-Vaucher, Martina Ruspa, Leonor Alamo, Michael Hauschild

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Endocrine Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Inge-Lore Ruiz-AranaPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-4728-2127
Victor LechanteurSchool of Medicine, Faculty of Biology and Medicine, University of Lausanne, Lausanne 1015, Switzerland.ORCID https://orcid.org/0009-0005-7274-5161
Kanetee BusiahPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-1059-0791
Thérèse BouthorsPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-0062-7423
Maria-Christina AntoniouPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-8089-7908
Sophie Stoppa-VaucherPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0009-0009-7333-9594
Martina RuspaPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0009-0000-3676-5679
Leonor AlamoPediatric Radiology, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-9359-5845
Michael HauschildPediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne 1004, Switzerland.ORCID https://orcid.org/0000-0002-1940-8730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Bone age (BA) evaluation in children presenting growth problems is time-consuming. Artificial intelligence (AI) BA assessment programs are increasingly used. However, agreement between different commercially available methods in the same population, or possible age-, puberty- or sex-related differences have not been sufficiently evaluated. Methods: BA assessment of 521 left hand radiographs of patients aged 2-19 years with IB-lab-PANDA® and BoneXpert® were compared. Of the 521 radiographs, 213 were compared to the Greulich-Pyle (GP) reference. We analyzed gender, age, diagnosis, body mass index (BMI) and puberty categories. Accuracy was calculated as mean-absolute-deviation (MAD) and root-mean-square-error (RMSE). Results: MAD was 0.61 years and the RMSE 0.83 years between BoneXpert and IB-lab-PANDA, with poor agreement in girls over 14 years (MAD 1.18 years).Compared to the manual rating, both methods showed a positive bias in boys (0.28 years BoneXpert vs 0.51 years IB-lab-PANDA) and in children with pathologies associated with BA delay (BoneXpert 0.18 years vs IB-lab-PANDA 0.35 years). IB-lab-PANDA underestimated BA in girls after 14 years (-0.67 years). IB-lab-PANDA had a MAD of 0.64 years and RMSE of 0.85 years compared to manual assessment, whereas BoneXpert had a MAD of 0.63 years and RMSE of 0.82 years.BoneXpert was significantly more accurate than IB-lab-PANDA in prepubertal children (MAD 0.7 vs 0.83 years; Conclusion: The direct agreement between IB-lab-PANDA® and BoneXpert® falls within human inter-rater variability. Their agreement on manual BA determination is equivalent except in prepubertal children, where BoneXpert seems more accurate. Both are fast, valuable tools for determining BA accurately and efficiently.

Indexed as

accuracyartificial intelligencebone agebone health index (BHI)growth delaypuberty delay

Identifiers

PMID40862089
PMCPMC12375918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.