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Utilizing Point-of-Care Ultrasound in the Diagnosis and Management of a Giant Hip Lipoma: A Case Report
1Family Medicine, Texas Tech University Health Sciences Center El Paso Paul L. Foster School of Medicine, El Paso, USA.
Abstract:
Lipomas are common benign soft tissue tumors that often require accurate imaging for diagnosis and management. Point-of-care ultrasound (POCUS) has emerged as a valuable diagnostic tool, providing real-time imaging at the bedside and reducing the need for advanced imaging modalities. We report a case of a 43-year-old male presenting with a large lipoma on his right hip. The lipoma measured 12.9 cm × 14 cm × 12 cm and exhibited a circumscribed, isohypoechoic mass relative to adjacent fat in the subcutaneous layer with no vascularity on POCUS. Utilizing POCUS, we accurately localized the lipoma, avoiding critical nerve and vascular structures. This facilitated a safe, outpatient surgical excision without the need for additional imaging such as MRI or CT scans. The procedure was completed successfully without complications, resulting in significant symptom relief and no recurrence at six months post-operation. The use of POCUS in this case demonstrated its effectiveness in providing immediate, accurate diagnostic information, enabling prompt and cost-effective treatment. In settings where advanced imaging modalities are not readily available, POCUS helps avoid radiation exposure and reduce healthcare costs. POCUS ensured precise surgical planning, enhancing patient safety by preventing damage to surrounding critical structures. In this case, it was effective in distinguishing a benign lesion. However, additional imaging or histopathological confirmation may be necessary in cases with atypical features or diagnostic uncertainty. This case underscores the potential of POCUS as a first-line diagnostic tool in the evaluation of large soft tissue masses, particularly in settings with limited access to advanced imaging or when rapid decision-making is essential. Integrating POCUS into clinical practice can improve workflow efficiency, patient outcomes, and overall healthcare delivery.

