Evidence map›Paper›PMID 42176058›Full record

ArticlePediatric radiology2026

Multiparametric MRI biomarkers in pediatric osteosarcoma: associations of ADC, necrosis, and tumor volume with histologic and clinical outcomes in a retrospective cohort study.

Isabela Azevedo Nicodemos da Cruz, Laura Marie Fayad, Carla Renata Pacheco Donato Macedo, Paulo Tarso Kawakami Perez, Mariana Batista Rosa Pinto, Bruno Henrique de Azevedo, Angela Grassato de Carvalho, Henrique Manoel Lederman, Artur Rocha Corrêa Fernandes, Júlio Brandão Guimarães

Abstract read
In one paragraph

Article in Pediatric radiology, 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

10 authors.

Isabela Azevedo Nicodemos da CruzDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil. isabela.cruz@grupofleury.com.br.
Laura Marie FayadThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, USA.
Carla Renata Pacheco Donato MacedoDepartment of Oncology, Support group for adolescents and children with cancer, São Paulo, Brazil.
Paulo Tarso Kawakami PerezDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.
Mariana Batista Rosa PintoDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.
Bruno Henrique de AzevedoDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.
Angela Grassato de CarvalhoDepartment of Oncology, Support group for adolescents and children with cancer, São Paulo, Brazil.
Henrique Manoel LedermanDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.
Artur Rocha Corrêa FernandesDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.
Júlio Brandão GuimarãesDepartment of Diagnostic Imaging, Federal University of São Paulo, 715 - Rua Napoleão de Barros, Hospital São Paulo, São Paulo, 04023-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of response to neoadjuvant chemotherapy in pediatric osteosarcoma is challenging, as histologic evaluation of tumor necrosis is only available after surgical resection. Quantitative MRI parameters, including diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC) values, tumor volume, and radiologic necrosis, may provide noninvasive information related to treatment response and outcomes.

objectiveTo evaluate quantitative MRI features before and after neoadjuvant chemotherapy in pediatric osteosarcoma and to investigate their associations with histologic response and clinical outcomes. MATERIALS AND

methodsThis retrospective single-center cohort study included 50 pediatric patients with histologically confirmed osteosarcoma (2014-2023) who underwent MRI with DWI at diagnosis and after neoadjuvant chemotherapy. Tumor volume, radiologic necrosis, and ADC parameters (minimum, mean, and maximum) were independently assessed by two musculoskeletal radiologists. Histologic response was graded using the Huvos system. Associations between imaging parameters and histologic response, survival outcomes, and relapse were evaluated using nonparametric and exploratory time-to-event analyses.

resultsFifty pediatric patients were included (mean age 13.2 years; 62% male), of whom 21% had metastatic disease at diagnosis. Pre-treatment ADC minimum differed between good and poor histologic responders (median 661.75 vs 851.0×10⁻⁶ mm

conclusionQuantitative MRI parameters demonstrate exploratory associations with histologic response and clinical outcomes in pediatric osteosarcoma, providing additional information when interpreted alongside conventional MRI features and clinical data.

Indexed as

Bone NeoplasmsMultiparametric Magnetic Resonance ImagingOsteosarcomaAdolescentChildDiffusion Magnetic Resonance ImagingFemaleHumansMaleNecrosisNeoadjuvant TherapyRetrospective StudiesTreatment OutcomeTumor BurdenApparent diffusion coefficientDiffusion-weighted imagingMagnetic resonance imagingNeoadjuvant chemotherapyOsteosarcomaPediatric oncology

Identifiers

PMID42176058
PMCPMC13357396

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.