Pigmented villonodular bursitis/diffuse giant cell tumor of the pes anserine bursa: A report of two cases and review of literature

Division of Musculoskeletal Oncology, Department of Orthopedics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
The Knee (Impact Factor: 1.7). 11/2007; 14(5):402-7. DOI: 10.1016/j.knee.2007.06.004
Source: PubMed

ABSTRACT Pigmented villonodular synovitis (PVNS) is a benign but potentially aggressive lesion, characterized by synovial villonodular proliferation with hemosiderin pigmentation and stromal infiltration of histiocytes and giant cells. This consists of a common family of lesions, including localized and diffuse forms of pigmented villonodular synovitis, giant cell tumor of the tendon sheath (nodular tenosynovitis) and the very rare cases of extra-articular pigmented villonodular synovitis arising from the bursa (pigmented villonodular bursitis or diffuse giant cell tumor of the tendon sheath). The purpose of this paper is to present two rare cases of pigmented villonodular bursitis arising from the pes anserinus bursa. The various differentials along with a review of literature of similar lesions are also being discussed. However, as with other lesions, clinicoradiographic features along with close histological correlation is essential for diagnosis.

  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, for frontal view face recognition hybrid approaches using neural networks (NNs) and hidden Markov models (HMMs) are proposed. In the preprocessing stage, edges of a face are detected using the conventional locally adaptive threshold (LAT) scheme and facial features are extracted based on generic knowledge of facial components. In constructing a database with normalized features, we employ HMM parameters of each person computed by the forward-backward algorithm. Computer simulation shows that the proposed HMM-NN algorithm yields higher recognition rate compared with several conventional face recognition algorithms
    Neural Networks,1997., International Conference on; 07/1997
  • [Show abstract] [Hide abstract]
    ABSTRACT: Legacy weapon systems, such as attack aircraft, have taken advantage of embedded computers and software to provide enormous capabilities for flexibility and expandability. The provision of these capabilities has been at a cost, and that is in the dedicated software development facilities which have sprung up to support these legacy systems. Unfortunately, the costs of these dedicated facilities is becoming prohibitive. The Advanced Avionics Multi-Radar Software Support Study (AAMRSSS) project offers experience in handling the above problem. AAMRSSS studied the feasibility of using a dedicated Software Development Facility (SDF) to support multiple software system platforms. Issues of the study were: commonality; unique requirements of the new system to be added; platform priorities; and future expansion. In particular, this study has addressed supporting the AC-130U Gunship's Radar Operational Flight Program (OFF) in the F-15's Radar Software Development Facility
    Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National; 08/1997
  • [Show abstract] [Hide abstract]
    ABSTRACT: We evaluated the efficacy of using the apparent diffusion coefficient (ADC) to differentiate soft tissue tumors. We examined 88 histologically proven tumors (44 benign, 8 intermediate, 36 malignant) using diffusion-weighted magnetic resonance images. Images of the tumors were obtained using a single-shot, spin-echo type echo-planar imaging sequence. The tumors were classified histologically as myxoid or nonmyxoid. We then compared the ADC values of the myxoid and nonmyxoid tumors; the benign and malignant myxoid tumors; and the benign, intermediate, and malignant nonmyxoid tumors. The mean ADC value of the myxoid tumors (2.08 +/- 0.51 x 10(-3) mm(2)/s) was significantly greater than that of the nonmyxoid tumors (1.13 +/- 0.40 x 10(-3) mm(2)/s) (P < 0.001). There was no significant difference in the mean ADC values between benign myxoid tumors (2.10 +/- 0.50 x 10(-3) mm(2)/s) and malignant myxoid tumors (2.05 +/- 0.58 x 10(-3) mm(2)/s). The mean ADC value of benign nonmyxoid tumors (1.31 +/- 0.46 x 10(-3) mm(2)/s) was significantly higher than that of malignant nonmyxoid tumors (0.94 +/- 0.25 x 10(-3) mm(2)/s) (P < 0.001). The ADC value might be useful for diagnosing the malignancy of nonmyxoid soft tissue tumors.
    Radiation Medicine 06/2008; 26(5):287-95. DOI:10.1007/s11604-008-0229-8