Distinguishing Epiphyseal Mass Lesions in Children, Adolescents, and Young Adults

This slide presentation reviews the differential diagnosis of epiphyseal mass lesions in children, adolescents, and young adults, identifies imaging features of epiphyseal mass lesions that suggest specific diagnoses, and provides a framework for evaluating these lesions at MRI with the goal of narrowing the differential diagnosis.

Authors

Institutions

Publication Details

Journal
Radiographics
Published
2025-02-06
DOI
https://doi.org/10.1148/rg.240194
Citations
1
Primary Topic
Bone Tumor Diagnosis and Treatments
Type
article
Field-Weighted Citation Impact
1.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinguishing Epiphyseal Mass Lesions in Children, Adolescents, and Young Adults

Kirsten Ecklund, Eric L. Tung, Randheer Shailam, Joao R. T. Vicentini et al.
1 citations
Radiographics
Bone Tumor Diagnosis and Treatments
1.67
article

Distinguishing Epiphyseal Mass Lesions in Children, Adolescents, and Young Adults

Kirsten Ecklund, Eric L. Tung, Randheer Shailam, Joao R. T. Vicentini, Daniel I. Rosenthal
article en
1 citations

Abstract

This slide presentation reviews the differential diagnosis of epiphyseal mass lesions in children, adolescents, and young adults, identifies imaging features of epiphyseal mass lesions that suggest specific diagnoses, and provides a framework for evaluating these lesions at MRI with the goal of narrowing the differential diagnosis.

RadiographicsVol. 45(3)
Boston Children's Hospital (US)
Openalex Percentile: Top 21%
Bone Tumor Diagnosis and Treatments
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.