• Title/Summary/Keyword: Synovial lipoma

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Intra-Articular Synovial Lipoma of the Knee Joint - A Case Report - (슬관절내에 발생한 윤활막 지방종 - 증례 보고 -)

  • Kim, Kwang-Yeol;Hwang, Yeon-Su;Lee, Ji-Hoon;Yoon, Seung-Hyun
    • Journal of the Korean Arthroscopy Society
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    • v.16 no.1
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    • pp.47-51
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    • 2012
  • Although lipoma is the most common soft-tissue tumor, accounting for up to one half of all soft-tissue tumors, intra-articular synovial lipomas are rarely seen. Occasional cases of intra-articular lipoma arborescens have been reported. However, true intra-articular synovial lipomas should be differentiated from other similar lipomatoid conditions such as lipoma arborescens, which are different pathologic entities and show different clinical presentations. This article presents the case of a patient who had an intra-articular synovial lipoma of the knee joint.

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Tenosynovial Bilateral Lipoma Arborescens of the Ankle in Adults (성인에게 발생한 양측 발목의 건활막 지방종 아보레센스)

  • Gwak, Heui-Chul;Kim, Duck-Hee;Roh, Sang-myung;Choo, Hye-Jung;Kim, Young-Jun;Jeong, Jun-Woo;Jung, Soo-Hwan
    • Journal of Korean Foot and Ankle Society
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    • v.23 no.1
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    • pp.35-38
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    • 2019
  • Lipoma arborescens or synovial lipomatosis is a rare disorder that is characterized by mature fat infiltration of the hypertrophic synovial villi, most frequently affecting the supra-patellar pouch of the knee. This paper presents a case of lipoma arborescens of the ankle joint bilaterally in an adult patient with involvement of both the intra-articular synovium and the synovial sheath of the tendons around the ankle.

Bilateral Lipoma Arborescens of the Knee in an Adolescent Patient (청소년에서 양측 슬관절에 발생한 수지상 지방종)

  • Kim, Hee-June;Kim, Jeong-Woo;Lee, Hyun-Joo;Kyung, Hee-Soo
    • Journal of the Korean Orthopaedic Association
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    • v.55 no.4
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    • pp.354-358
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    • 2020
  • Lipoma arborescens (LA) is a rare lesion that causes joint effusion and pain. LA usually presents as a unilateral knee lesion, and bilateral lesions are extremely rare. LA among adolescent patients is also extremely rare with the disorder having a much higher incidence among adults. This paper reports a 14-year-old boy who was treated for bilateral knee LA. X-rays revealed the characteristic features of LA in both knees, and arthroscopic synovectomy was performed to resect the lesions. Postoperative recovery progressed smoothly, and the patient was eventually relieved of pain and swelling. LA should be considered when adolescent patients present with bilateral pain and swelling, even though this condition is rare in this age group. Furthermore, surgical synovectomy for a complete resection is an appropriate treatment option.

MRI Evaluation for the Histologic Components of Soft-tissue Tumors: Comparison of MEDIC and Fast SE T2-weighted Imaging (연조직종양의 조직 성분 평가를 위한 자기공명영상: MEDIC 과 지방억제 T2 영상의 비교)

  • Moon, Tae-Yong;Lee, In-Sook;Lee, Jun-Woo;Choi, Kyung-Un;Kim, Jeung-Il;Kim, E. Edmund
    • Investigative Magnetic Resonance Imaging
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    • v.12 no.1
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    • pp.1-7
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    • 2008
  • Purpose : To compare Multi Echo Data Image Combination (MEDIC) and fast SE T2-weighted images with fat saturation (T2FS) to suggest more accurate evaluation of the histologic components of soft-tissue tumors. Materials and Methods : The experimental group included 25 histologic tissues (5 vascular, 4 neural, 4 fibrous, 4 hypercellular, 2 hemorrhagic necroses, 2 cystic, 2 lipoid, 1 myxoid stroma, and 1 thrombus) in 10 patients who had pathologically confirmed schwannoma (n = 3), hemangioma (n = 2), lipoma (n = 1), angiokeratoma (n = 1), synovial sarcoma (n = 1), liposarcoma (n = 1), and malignant fibrous histiocytoma (n = 1). The inhomogeneity values were measured using the standard deviation value (SD) divided by the mean value as SD presents an error amount similar to that of imaging heterogeneity. Results : The inhomogeneity values of 25 histologic components were lower on MEDIC than those on T2FS (p < .001). Conclusion : We conclude that MEDIC is more accurate than T2FS for evaluating the tissue components of soft-tissue tumors using digitalized data because MEDIC images have far lower inhomogeneity.

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