Can Experienced Observers Differentiate between Lipoma and Well-Differentiated Liposarcoma Using Only MRI?. (9th December 2013)
- Record Type:
- Journal Article
- Title:
- Can Experienced Observers Differentiate between Lipoma and Well-Differentiated Liposarcoma Using Only MRI?. (9th December 2013)
- Main Title:
- Can Experienced Observers Differentiate between Lipoma and Well-Differentiated Liposarcoma Using Only MRI?
- Authors:
- O'Donnell, Patrick W.
Griffin, Anthony M.
Eward, William C.
Sternheim, Amir
White, Lawrence M.
Wunder, Jay S.
Ferguson, Peter C. - Other Names:
- Fisher Cyril Academic Editor.
- Abstract:
- Abstract : Well-differentiated liposarcoma represents a radiographic diagnostic dilemma. To determine the accuracy, interrater reliability, and relationship of stranding, nodularity, and size in the MRI differentiation of lipoma and well-differentiated liposarcoma, MRI scans of 60 patients with large (>5 cm), deep, pathologically proven lipomas or well-differentiated liposarcomas were examined by 10 observers with subspecialty training blinded to diagnosis. Observers indicated whether the amount of stranding, nodularity, and size of each tumor suggested a benign or malignant diagnosis and rendered a diagnosis of lipoma or well-differentiated liposarcoma. The accuracy, reliability, and relationship of stranding, nodularity, and size to diagnosis were calculated for all samples. 69% of reader MRI diagnoses agreed with final pathology diagnosis (95% CI 65–73%). Readers tended to err choosing a diagnosis of liposarcoma, correctly identifying lipomas in 63% of cases (95% CI 58–69%) and liposarcomas in 75% of cases (95% CI 69–80%). Assessment of the relationship of stranding, nodularity, and size to correct diagnosis showed that the presence of each was associated with a decreased likelihood of a lipoma pathological diagnosis (P < 0.01 ). While the radiographic diagnosis of lipoma or well-differentiated liposarcoma cannot be made with 100% certainty, experienced observers have a 69% chance of rendering a correct diagnosis.
- Is Part Of:
- Sarcoma. Volume 2013(2013)
- Journal:
- Sarcoma
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-12-09
- Subjects:
- Sarcoma -- Periodicals
616.994 - Journal URLs:
- https://www.hindawi.com/journals/sarcoma/ ↗
- DOI:
- 10.1155/2013/982784 ↗
- Languages:
- English
- ISSNs:
- 1357-714X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17028.xml