Evidence map›Paper›PMID 41160129›Full record

ArticleSkeletal radiology2026

Apparent diffusion coefficient can assist in differentiating between benign and malignant primary bone tumors in pediatric patients.

Yashas Ullas Lokesha, Shashi Bhushan Singh, Ricarda von Krüchten, Zahra Shokri Varniab, Manoj Kumar, Vidyani Suryadevara, Amir Hossein Sarrami, Tie Liang, Jason Wong, Allison Pribnow and 1 more

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Article in Skeletal 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yashas Ullas LokeshaDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Shashi Bhushan SinghDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Ricarda von KrüchtenDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Zahra Shokri VarniabDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Manoj KumarDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Vidyani SuryadevaraDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Amir Hossein SarramiDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Tie LiangDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jason WongDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Allison PribnowDepartment of Pediatrics, Hematology/Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA.
Heike Elisabeth Daldrup-LinkDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA. heiked@stanford.edu.ORCID http://orcid.org/0000-0002-4929-819X

Funding

Advanced Imaging Tools to Assess Cancer Therapeutics in Pediatric PatientsR01CA269231 · NCI · STANFORD UNIVERSITY · PI Heike Elizabeth Daldrup-Link · 2022 to 2026
$3.5M
National Cancer Institute (NCI) R01 CA269231.NCI NIH HHS R01 CA269231
6 · The paper itself

Abstract

objectiveTo evaluate differences in apparent diffusion coefficient (ADC) values between benign and malignant primary pediatric bone tumors and to assess their diagnostic accuracy in differentiating these tumors. MATERIALS AND

methodsWe retrospectively analyzed MRI scans of 96 pediatric patients (54 males, 42 females; mean age 12.97 ± 3.9 years) with primary bone tumors who underwent diffusion-weighted imaging, including 48 benign and 48 malignant tumors. We measured ADCmean, ADCmin, and ADCmax of the solid tumor part, carefully avoiding cystic, necrotic, or sclerosed tumor areas. The Wilcoxon rank-sum test was used to test the distributional difference of benign vs malignant tumors. ROC curve analysis was performed to assess the diagnostic accuracy. The optimal cutoff of ADC values to differentiate benign and malignant bone tumors was defined as the point at which the Youden index, the sum of sensitivity and specificity, was maximized.

resultsThe median values of the ADCmean, ADCmin, and ADCmax for benign bone tumors [1.34 (1.13-1.83), 0.98 (0.73-1.34), and 1.80 (1.57-2.46) × 10

conclusionADCmean, ADCmin, and ADCmax differ significantly between benign and malignant pediatric bone tumors, and the ADCmean provides the highest diagnostic accuracy.

Indexed as

Bone NeoplasmsDiffusion Magnetic Resonance ImagingAdolescentChildChild, PreschoolDiagnosis, DifferentialFemaleHumansMaleReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityApparent diffusion coefficientBenignBone tumorDiffusion weighted imagingMalignantPediatric

Identifiers

PMID41160129
PMCPMC12847184

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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.