Primary retroperitoneal lipoleiomyoma: a rare differential of retroperitoneal fat-containing lesions

Abstract Lipoleiomyomas are rare benign tumors most commonly seen in uterus, with extra-uterine locations like primary retroperitoneal lipoleiomyoma being a rare sight. Radiological imaging shows presence of large well-defined retroperitoneal fat and non-fat soft tissue containing mass. Histopathology confirms the diagnosis by showing smooth muscle cells and adipose tissue without atypia. We present a case of a 64-year-old diabetic female who presented with post-menopausal spotting and vague abdominal pain. Ultrasound and contrast enhanced MRI abdomen and pelvis revealed a large well-circumscribed retroperitoneal lesion with internal fat and non-fat soft tissue areas, without obvious signs of adjacent organ infiltration/lymphadenopathy/distant metastasis, with suspicious neoplastic lesion in the cervix. Imaging diagnosis of a well-differentiated liposarcoma with possible carcinoma cervix was made. Pre-operative cervical biopsy dispensed squamous cell carcinoma. Surgical excision of the retroperitoneal mass was done, with post-operative histopathology diagnosis suggesting lipoleiomyoma. Although a rare entity, lipoleiomyoma should in kept in differential of radiologically detected well encapsulated/ non-infiltrating retroperitoneal fat-containing lesions.

Authors

Institutions

Publication Details

Journal
The Egyptian Journal of Radiology and Nuclear Medicine
Published
2025-04-08
DOI
https://doi.org/10.1186/s43055-025-01447-8
Primary Topic
Tuberous Sclerosis Complex Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Primary retroperitoneal lipoleiomyoma: a rare differential of retroperitoneal fat-containing lesions

Arushi Garg, Neha Bagri, Ritu Nair Misra, Charanjeet Ahluwalia et al.
The Egyptian Journal of Radiology and Nuclear Medicine
Tuberous Sclerosis Complex Research
article

Primary retroperitoneal lipoleiomyoma: a rare differential of retroperitoneal fat-containing lesions

Arushi Garg, Neha Bagri, Ritu Nair Misra, Charanjeet Ahluwalia, Aanchal Bhayana
article en

Abstract

Abstract Lipoleiomyomas are rare benign tumors most commonly seen in uterus, with extra-uterine locations like primary retroperitoneal lipoleiomyoma being a rare sight. Radiological imaging shows presence of large well-defined retroperitoneal fat and non-fat soft tissue containing mass. Histopathology confirms the diagnosis by showing smooth muscle cells and adipose tissue without atypia. We present a case of a 64-year-old diabetic female who presented with post-menopausal spotting and vague abdominal pain. Ultrasound and contrast enhanced MRI abdomen and pelvis revealed a large well-circumscribed retroperitoneal lesion with internal fat and non-fat soft tissue areas, without obvious signs of adjacent organ infiltration/lymphadenopathy/distant metastasis, with suspicious neoplastic lesion in the cervix. Imaging diagnosis of a well-differentiated liposarcoma with possible carcinoma cervix was made. Pre-operative cervical biopsy dispensed squamous cell carcinoma. Surgical excision of the retroperitoneal mass was done, with post-operative histopathology diagnosis suggesting lipoleiomyoma. Although a rare entity, lipoleiomyoma should in kept in differential of radiologically detected well encapsulated/ non-infiltrating retroperitoneal fat-containing lesions.

The Egyptian Journal of Radiology and Nuclear MedicineVol. 56(1)
Vardhman Mahavir Medical College & Safdarjung Hospital (IN)
Openalex Percentile: Top 91%
Tuberous Sclerosis Complex Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.