Cited by 114Sarcoma Diagnosis and TreatmentSoft tissue tumors and treatmentMRI in cancer diagnosis

MRI to differentiate benign from malignant soft-tissue tumours of the extremities: a simplified systematic imaging approach using depth, size and heterogeneity of signal intensity

Open access
Chung, W J, Chung, H W, Shin, M J, Lee, S H, Lee, M H, Lee, J S, Kim, M-J, Lee, W K·2012·The British Journal of Radiology

Abstract

Objective Differentiating between malignant and benign lesions on the basis of MR images depends on the experience of the radiologist. For non-experts, we aimed to develop a simplified systematic MRI approach that uses depth, size and heterogeneity on T(2) weighted MR images (T(2)WI) to differentiate between malignant and benign lesions, and evaluated its diagnostic accuracy. Methods MR images of 266 patients with histologically proven soft-tissue tumours of the extremities (102 malignant, 164 benign) were analysed according to depth (superficial or deep), size ( Results Univariate analysis showed that depth, size and heterogeneity on T(2)WI differed significantly between benign and malignant masses (p Conclusion A simplified systematic imaging approach, in the order signal intensity, size and depth, would be a reference to distinguish between benign and malignant soft-tissue tumours for non-experts.

Integrity signals

Registry

Crossref · 10.1259/bjr/27487871

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Chung, W. J., Chung, H. W., Shin, M. J., Lee, S. H., Lee, M. H., Lee, J. S., Kim, M.-J., & Lee, W. K.
Affiliations
  • Asan Medical Center (KR)
  • Kyungpook National University (KR)
Venue
The British Journal of Radiology
Published
2012-10
Volume
85
Issue
1018
Pages
e831-e836
ISSN
  • 0007-1285 (ISSN-L)
  • 1748-880X
OpenAlex
W2163372887
Cited by
114
References
0
Citations by year
2026: 10 · 2025: 15 · 2024: 9 · 2023: 12 · 2022: 16 · 2021: 5 · 2020: 11 · 2019: 8 · 2018: 8 · 2017: 12 · 2016: 4 · 2015: 3 · 2014: 1
FWCI
1.03
Type
journal article
Language
en
Open access
Locations
  • British Journal of Radiology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoma Diagnosis and Treatment
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Soft tissue tumors and treatment
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
Keywords
soft tissue tumor, extremities, benign versus malignant differentiation, T2-weighted MRI, tumor size, depth of invasion, diagnostic accuracy
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Diagnosis, Differential, Extremities, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Regression Analysis, Retrospective Studies, Sarcoma, Sensitivity and Specificity, Soft Tissue Neoplasms, Tumor Burden, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review