Current utilities of imaging in grading musculoskeletal soft tissue sarcomas

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The care of patients with musculoskeletal malignancies has increasingly become a multidisciplinary function. Radiologists play an important role in many areas of these patients' care including initial diagnosis, staging, in many cases guiding therapy, and monitoring treatment response. However, the gold standard for the final diagnosis of these diseases remains the histopathologic proof. Intense efforts have been made to develop non-invasive methods of determining the tumor grade, or a surrogate, in order to predict biologic behavior, aid early treatment decisions, and provide prognostic information. Multiple imaging modalities have been employed in this domain - including computed tomography (CT); anatomic magnetic resonance (MR) imaging techniques; functional MR imaging sequences such as dynamic contrast enhancement (DCE), diffusion weighted imaging (DWI), MR spectroscopy (MRS); and positron emission tomography (PET). This article reviews current available literature in this realm and highlights future directions towards the potential of non-invasive imaging in grading of soft tissue sarcomas.

Original languageEnglish (US)
Pages (from-to)1336-1344
Number of pages9
JournalEuropean Journal of Radiology
Volume85
Issue number7
DOIs
StatePublished - Jul 1 2016

Fingerprint

Sarcoma
Patient Care
Magnetic Resonance Imaging
Positron-Emission Tomography
Neoplasms
Magnetic Resonance Spectroscopy
Therapeutics
Tomography
Direction compound
Radiologists

Keywords

  • CT
  • Grading
  • MRI
  • PET
  • Sarcoma

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Current utilities of imaging in grading musculoskeletal soft tissue sarcomas. / Fisher, Stephen M.; Joodi, Robert; Madhuranthakam, Ananth J.; Öz, Orhan K.; Sharma, Rohit; Chhabra, Avneesh.

In: European Journal of Radiology, Vol. 85, No. 7, 01.07.2016, p. 1336-1344.

Research output: Contribution to journalArticle

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