Imaging of fatty tumors: Distinction of lipoma and well-differentiated liposarcoma

Mark J. Kransdorf, Laura W. Bancroft, Jeffrey J. Peterson, Mark D. Murphey, William C. Foster, H. Thomas Temple

Research output: Contribution to journalArticle

266 Citations (Scopus)

Abstract

PURPOSE: To review the reliability of computed tomographic (CT) and magnetic resonance (MR) imaging features in distinguishing lipoma and well-differentiated liposarcoma. MATERIALS AND METHODS: CT (n = 29) and MR (n = 40) images and radiographs (n = 28) of 60 patients with histologically verified fatty tumors (35 lipomas and 25 well-differentiated liposarcomas) were retrospectively reviewed in 31 females and 29 males (mean age, 56 years; age range, 1-88 years). Images were assessed for adipose tissue content, and nonfatty component was classified (thin and/or thick septa and nodular and/or globular components) as absent, mild, moderate, or pronounced. Also assessed were signal intensity and tissue attenuation of the fatty components and nonadipose elements. RESULTS: Statistically significant imaging features favoring a diagnosis of liposarcoma included lesion larger than 10 cm (P < .001), presence of thick septa (P = .001), presence of globular and/or nodular nonadipose areas (P = .003) or masses (P = .001), and lesion less than 75% fat (P < .001). The most statistically significant radiologic predictors of malignancy were male sex, presence of thick septa, and associated nonadipose masses, which increased the likelihood of malignancy by 13-, nine-, and 32-fold, respectively. Both lipoma and liposarcoma demonstrated thin septa and regions of increased signal intensity on fluid-sensitive MR images. CONCLUSION: A significant number of lipomas will have prominent nonadipose areas and will demonstrate an imaging appearance traditionally ascribed to well-differentiated liposarcoma. Features that suggest malignancy include increased patient age, large lesion size, presence of thick septa, presence of nodular and/or globular or nonadipose masslike areas, and decreased percentage of fat composition.

Original languageEnglish
Pages (from-to)99-104
Number of pages6
JournalRadiology
Volume224
Issue number1
StatePublished - Jul 4 2002
Externally publishedYes

Fingerprint

Liposarcoma
Lipoma
Adipose Tissue
Magnetic Resonance Spectroscopy
Fats
Neoplasms
Magnetic Resonance Imaging

Keywords

  • Lipoma and lipomatosis
  • Lipoma and lipomatosis, CT
  • Lipoma and lipomatosis, MR
  • Liposarcoma
  • Liposarcoma, CT
  • Liposarcoma, MR
  • Soft tissues, neoplasms

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology

Cite this

Kransdorf, M. J., Bancroft, L. W., Peterson, J. J., Murphey, M. D., Foster, W. C., & Thomas Temple, H. (2002). Imaging of fatty tumors: Distinction of lipoma and well-differentiated liposarcoma. Radiology, 224(1), 99-104.

Imaging of fatty tumors : Distinction of lipoma and well-differentiated liposarcoma. / Kransdorf, Mark J.; Bancroft, Laura W.; Peterson, Jeffrey J.; Murphey, Mark D.; Foster, William C.; Thomas Temple, H.

In: Radiology, Vol. 224, No. 1, 04.07.2002, p. 99-104.

Research output: Contribution to journalArticle

Kransdorf, MJ, Bancroft, LW, Peterson, JJ, Murphey, MD, Foster, WC & Thomas Temple, H 2002, 'Imaging of fatty tumors: Distinction of lipoma and well-differentiated liposarcoma', Radiology, vol. 224, no. 1, pp. 99-104.
Kransdorf MJ, Bancroft LW, Peterson JJ, Murphey MD, Foster WC, Thomas Temple H. Imaging of fatty tumors: Distinction of lipoma and well-differentiated liposarcoma. Radiology. 2002 Jul 4;224(1):99-104.
Kransdorf, Mark J. ; Bancroft, Laura W. ; Peterson, Jeffrey J. ; Murphey, Mark D. ; Foster, William C. ; Thomas Temple, H. / Imaging of fatty tumors : Distinction of lipoma and well-differentiated liposarcoma. In: Radiology. 2002 ; Vol. 224, No. 1. pp. 99-104.
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abstract = "PURPOSE: To review the reliability of computed tomographic (CT) and magnetic resonance (MR) imaging features in distinguishing lipoma and well-differentiated liposarcoma. MATERIALS AND METHODS: CT (n = 29) and MR (n = 40) images and radiographs (n = 28) of 60 patients with histologically verified fatty tumors (35 lipomas and 25 well-differentiated liposarcomas) were retrospectively reviewed in 31 females and 29 males (mean age, 56 years; age range, 1-88 years). Images were assessed for adipose tissue content, and nonfatty component was classified (thin and/or thick septa and nodular and/or globular components) as absent, mild, moderate, or pronounced. Also assessed were signal intensity and tissue attenuation of the fatty components and nonadipose elements. RESULTS: Statistically significant imaging features favoring a diagnosis of liposarcoma included lesion larger than 10 cm (P < .001), presence of thick septa (P = .001), presence of globular and/or nodular nonadipose areas (P = .003) or masses (P = .001), and lesion less than 75{\%} fat (P < .001). The most statistically significant radiologic predictors of malignancy were male sex, presence of thick septa, and associated nonadipose masses, which increased the likelihood of malignancy by 13-, nine-, and 32-fold, respectively. Both lipoma and liposarcoma demonstrated thin septa and regions of increased signal intensity on fluid-sensitive MR images. CONCLUSION: A significant number of lipomas will have prominent nonadipose areas and will demonstrate an imaging appearance traditionally ascribed to well-differentiated liposarcoma. Features that suggest malignancy include increased patient age, large lesion size, presence of thick septa, presence of nodular and/or globular or nonadipose masslike areas, and decreased percentage of fat composition.",
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T2 - Distinction of lipoma and well-differentiated liposarcoma

AU - Kransdorf, Mark J.

AU - Bancroft, Laura W.

AU - Peterson, Jeffrey J.

AU - Murphey, Mark D.

AU - Foster, William C.

AU - Thomas Temple, H.

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N2 - PURPOSE: To review the reliability of computed tomographic (CT) and magnetic resonance (MR) imaging features in distinguishing lipoma and well-differentiated liposarcoma. MATERIALS AND METHODS: CT (n = 29) and MR (n = 40) images and radiographs (n = 28) of 60 patients with histologically verified fatty tumors (35 lipomas and 25 well-differentiated liposarcomas) were retrospectively reviewed in 31 females and 29 males (mean age, 56 years; age range, 1-88 years). Images were assessed for adipose tissue content, and nonfatty component was classified (thin and/or thick septa and nodular and/or globular components) as absent, mild, moderate, or pronounced. Also assessed were signal intensity and tissue attenuation of the fatty components and nonadipose elements. RESULTS: Statistically significant imaging features favoring a diagnosis of liposarcoma included lesion larger than 10 cm (P < .001), presence of thick septa (P = .001), presence of globular and/or nodular nonadipose areas (P = .003) or masses (P = .001), and lesion less than 75% fat (P < .001). The most statistically significant radiologic predictors of malignancy were male sex, presence of thick septa, and associated nonadipose masses, which increased the likelihood of malignancy by 13-, nine-, and 32-fold, respectively. Both lipoma and liposarcoma demonstrated thin septa and regions of increased signal intensity on fluid-sensitive MR images. CONCLUSION: A significant number of lipomas will have prominent nonadipose areas and will demonstrate an imaging appearance traditionally ascribed to well-differentiated liposarcoma. Features that suggest malignancy include increased patient age, large lesion size, presence of thick septa, presence of nodular and/or globular or nonadipose masslike areas, and decreased percentage of fat composition.

AB - PURPOSE: To review the reliability of computed tomographic (CT) and magnetic resonance (MR) imaging features in distinguishing lipoma and well-differentiated liposarcoma. MATERIALS AND METHODS: CT (n = 29) and MR (n = 40) images and radiographs (n = 28) of 60 patients with histologically verified fatty tumors (35 lipomas and 25 well-differentiated liposarcomas) were retrospectively reviewed in 31 females and 29 males (mean age, 56 years; age range, 1-88 years). Images were assessed for adipose tissue content, and nonfatty component was classified (thin and/or thick septa and nodular and/or globular components) as absent, mild, moderate, or pronounced. Also assessed were signal intensity and tissue attenuation of the fatty components and nonadipose elements. RESULTS: Statistically significant imaging features favoring a diagnosis of liposarcoma included lesion larger than 10 cm (P < .001), presence of thick septa (P = .001), presence of globular and/or nodular nonadipose areas (P = .003) or masses (P = .001), and lesion less than 75% fat (P < .001). The most statistically significant radiologic predictors of malignancy were male sex, presence of thick septa, and associated nonadipose masses, which increased the likelihood of malignancy by 13-, nine-, and 32-fold, respectively. Both lipoma and liposarcoma demonstrated thin septa and regions of increased signal intensity on fluid-sensitive MR images. CONCLUSION: A significant number of lipomas will have prominent nonadipose areas and will demonstrate an imaging appearance traditionally ascribed to well-differentiated liposarcoma. Features that suggest malignancy include increased patient age, large lesion size, presence of thick septa, presence of nodular and/or globular or nonadipose masslike areas, and decreased percentage of fat composition.

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KW - Lipoma and lipomatosis, MR

KW - Liposarcoma

KW - Liposarcoma, CT

KW - Liposarcoma, MR

KW - Soft tissues, neoplasms

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