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Primary retroperitoneal soft tissue sarcoma: Imaging appearances, pitfalls and diagnostic algorithm.

C Messiou1, E Moskovic1, D Vanel2

  • 1Department of Radiology, The Royal Marsden Hospital and The Institute of Cancer Research, London, UK.

European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
|January 7, 2017
PubMed
Summary
This summary is machine-generated.

Retroperitoneal sarcomas, though rare, require prompt diagnosis and specialist care. Early recognition and referral to sarcoma units improve patient outcomes for these complex abdominal tumors.

Keywords:
CTDiagnosisMRIRetroperitoneumSoft tissue sarcoma

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Area of Science:

  • Oncology
  • Radiology
  • Surgical Pathology

Background:

  • Retroperitoneal sarcomas are rare but present diagnostic challenges for various clinicians.
  • They can be incidental findings or present with non-specific symptoms, complicating early detection.
  • Management in high-volume specialist centers significantly improves patient outcomes.

Purpose of the Study:

  • To guide clinicians through a diagnostic pathway for retroperitoneal masses in adults.
  • To emphasize the importance of considering retroperitoneal sarcoma in differential diagnoses.
  • To highlight characteristic imaging appearances of common subtypes like liposarcoma and leiomyosarcoma.

Main Methods:

  • Review of diagnostic considerations for retroperitoneal masses.
  • Discussion of imaging features of common retroperitoneal sarcoma subtypes.
  • Emphasis on the role of specialist sarcoma units in patient management.

Main Results:

  • Failure to recognize these tumors can lead to suboptimal management in non-specialist settings.
  • Liposarcoma and leiomyosarcoma exhibit distinct imaging characteristics.
  • Prompt referral to a soft tissue sarcoma unit is critical for appropriate care.

Conclusions:

  • A high index of suspicion for retroperitoneal sarcoma is essential for any retroperitoneal mass.
  • Timely diagnosis and management at specialist centers are key to improving patient prognosis.
  • Understanding imaging appearances aids in early and accurate diagnosis.