The Experts below are selected from a list of 60 Experts worldwide ranked by ideXlab platform

Congjian Xu - One of the best experts on this subject based on the ideXlab platform.

  • benign and Malignant ovarian steroid cell tumors not otherwise specified Case studies comparison and review of the literature
    Journal of Ovarian Research, 2013
    Co-Authors: Wei Jiang, Fang Fang, Shaofen Zhang, Congjian Xu
    Abstract:

    Ovarian steroid cell tumors, not otherwise specified (NOS) are rare sex cord-stromal tumors of the ovary with Malignant potential. So far only a few Cases were reported in English literature through the Pubmed search. Here we report two Cases of such tumor, one was benign (first Case underwent laparoscopic cystectomy) and the other was Malignant (died 10 months later after initial diagnosis), both presented with amenorrhea and clinical signs or symptoms of virilization. In Malignant Case, we provided evidence (tumor embolus) in addition to the reported five characteristics associated with malignancy. On further evaluation, laboratory investigations revealed hyperandrogenism in the male range, while follicle stimulating hormone (FSH) and luteinising hormone (LH) levels were within normal limits. Various aspects of the presentation, diagnosis, and treatment of these tumors are discussed.

Noriyuki Moriyama - One of the best experts on this subject based on the ideXlab platform.

  • MICCAI - Analysis of Pulmonary Nodule Evolutions Using a Sequence of Three-Dimensional Thoracic CT Images
    Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, 2001
    Co-Authors: Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, M. Kusumoto, Ryutaro Kakinuma, Kensaku Mori, H. Nishiyama, Kenji Eguchi, Masahiro Kaneko, Noriyuki Moriyama
    Abstract:

    This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between Malignant and benign nodules. Our method consists of four steps; (1) The 3-D rigid registration of the two successive 3-D thoracic CT images, (2) the 3-D affine registration of the two successive region-of-interest (ROI) images, (3) non-rigid registration between local volumetric ROIs, and (4) analysis of the local displacement field between successive temporal images In preliminary study, the method was applied to the successive 3-D thoracic images of two pulmonary lesions including a metastasis Malignant Case and a inflammatory benign to quantify the evolving process in the pulmonary nodules and surrounding structure. The time intervals between successive 3-D thoracic images for the benign and Malignant Cases were 150 and 30 days, respectively. From the display of the displacement fields and the contrasted image by the vector field operator based on the Jacobian, it was observed that the benign Case reduced in the volume and the surrounding structure was involved into the nodule in the evolution process. It was also observed that the Malignant Case expanded in the volume. These experimental results indicate that our method is a promising tool to quantify how the lesions evolve their volume and surrounding structures.

  • Medical Imaging: Image Processing - Analysis of evolving processes in pulmonary nodules using a sequence of three-dimensional thoracic images
    Medical Imaging 2001: Image Processing, 2001
    Co-Authors: Yoshiki Kawata, Noboru Niki, M. Kusumoto, Ryutaro Kakinuma, H. Nishiyama, Kenji Eguchi, Masahiro Kaneko, H. Omatsu, Kiyoshi Mori, Noriyuki Moriyama
    Abstract:

    This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between Malignant and benign nodules. Our method consists of four steps; The 3D rigid registration of the two successive 3D thoracic CT images, the 3D affine registration of the two successive region-of-interest (ROI) images, non rigid registration between local volumetric ROIs, and analysis of the local displacement field between successive temporal images. In preliminary study, the method was applied to the successive 3D thoracic images of two pulmonary lesions including a metastasis Malignant Case and an inflammatory benign to quantify the evolving process in the pulmonary nodules and surrounding structure. The time intervals between successive 3D thoracic images for the benign and Malignant Cases were 120 and 30 days, respectively. From the display of the displacement fields and the contrasted image by the vector field operator based on the Jacobian, it was observed that the benign Case reduced in the volume and the surrounding structure was involved into the nodule in the evolution process. It was also observed that the Malignant Case expanded in the volume. These experimental results indicate that our method is a promising tool to quantify how the lesions evolve their volume and surrounding structures.

Wei Jiang - One of the best experts on this subject based on the ideXlab platform.

  • benign and Malignant ovarian steroid cell tumors not otherwise specified Case studies comparison and review of the literature
    Journal of Ovarian Research, 2013
    Co-Authors: Wei Jiang, Fang Fang, Shaofen Zhang, Congjian Xu
    Abstract:

    Ovarian steroid cell tumors, not otherwise specified (NOS) are rare sex cord-stromal tumors of the ovary with Malignant potential. So far only a few Cases were reported in English literature through the Pubmed search. Here we report two Cases of such tumor, one was benign (first Case underwent laparoscopic cystectomy) and the other was Malignant (died 10 months later after initial diagnosis), both presented with amenorrhea and clinical signs or symptoms of virilization. In Malignant Case, we provided evidence (tumor embolus) in addition to the reported five characteristics associated with malignancy. On further evaluation, laboratory investigations revealed hyperandrogenism in the male range, while follicle stimulating hormone (FSH) and luteinising hormone (LH) levels were within normal limits. Various aspects of the presentation, diagnosis, and treatment of these tumors are discussed.

Yoshiki Kawata - One of the best experts on this subject based on the ideXlab platform.

  • MICCAI - Analysis of Pulmonary Nodule Evolutions Using a Sequence of Three-Dimensional Thoracic CT Images
    Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, 2001
    Co-Authors: Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, M. Kusumoto, Ryutaro Kakinuma, Kensaku Mori, H. Nishiyama, Kenji Eguchi, Masahiro Kaneko, Noriyuki Moriyama
    Abstract:

    This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between Malignant and benign nodules. Our method consists of four steps; (1) The 3-D rigid registration of the two successive 3-D thoracic CT images, (2) the 3-D affine registration of the two successive region-of-interest (ROI) images, (3) non-rigid registration between local volumetric ROIs, and (4) analysis of the local displacement field between successive temporal images In preliminary study, the method was applied to the successive 3-D thoracic images of two pulmonary lesions including a metastasis Malignant Case and a inflammatory benign to quantify the evolving process in the pulmonary nodules and surrounding structure. The time intervals between successive 3-D thoracic images for the benign and Malignant Cases were 150 and 30 days, respectively. From the display of the displacement fields and the contrasted image by the vector field operator based on the Jacobian, it was observed that the benign Case reduced in the volume and the surrounding structure was involved into the nodule in the evolution process. It was also observed that the Malignant Case expanded in the volume. These experimental results indicate that our method is a promising tool to quantify how the lesions evolve their volume and surrounding structures.

  • Medical Imaging: Image Processing - Analysis of evolving processes in pulmonary nodules using a sequence of three-dimensional thoracic images
    Medical Imaging 2001: Image Processing, 2001
    Co-Authors: Yoshiki Kawata, Noboru Niki, M. Kusumoto, Ryutaro Kakinuma, H. Nishiyama, Kenji Eguchi, Masahiro Kaneko, H. Omatsu, Kiyoshi Mori, Noriyuki Moriyama
    Abstract:

    This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between Malignant and benign nodules. Our method consists of four steps; The 3D rigid registration of the two successive 3D thoracic CT images, the 3D affine registration of the two successive region-of-interest (ROI) images, non rigid registration between local volumetric ROIs, and analysis of the local displacement field between successive temporal images. In preliminary study, the method was applied to the successive 3D thoracic images of two pulmonary lesions including a metastasis Malignant Case and an inflammatory benign to quantify the evolving process in the pulmonary nodules and surrounding structure. The time intervals between successive 3D thoracic images for the benign and Malignant Cases were 120 and 30 days, respectively. From the display of the displacement fields and the contrasted image by the vector field operator based on the Jacobian, it was observed that the benign Case reduced in the volume and the surrounding structure was involved into the nodule in the evolution process. It was also observed that the Malignant Case expanded in the volume. These experimental results indicate that our method is a promising tool to quantify how the lesions evolve their volume and surrounding structures.

Refik Killi - One of the best experts on this subject based on the ideXlab platform.

  • Leydig cell tumor of the testis: Comparison of histopathological and immunohistochemical features of three azoospermic Cases and one Malignant Case
    Pathology International, 2001
    Co-Authors: Mine Hekimgil, Barış Altay, Başak Doˇganavşargil Yakut, Saliha Soydan, Ceyhun Özyurt, Refik Killi
    Abstract:

    Leydig cell tumors of the testis are rare, mostly presenting as a testicular mass or as endocrinological symptoms. Here, three patients who were admitted for investigation of primary infertility and one patient presenting with a testicular mass are reported. The histological features were reviewed and an immunohistochemical study was done using a panel of antibodies against cytokeratin, vimentin, inhibin A, S-100, Ki-67, follicle-stimulating hormone, luteinizing hormone, prolactin, p53, bcl-2, and c-erbB2. The latter Case (lost during follow up of metastatic disease) demonstrated massive tumor necrosis, extension through the tunica albuginea, and a high mitotic activity and MIB-1 score. Only this Malignant Case was bcl-2 positive. Of the two oncogenic markers studied, none of the Cases were positive for c-erb2, while p53 was positive in more than 50% of cells in the Malignant Case and in one Case of infertility with a large tumor, hemorrhage, focal necrosis and atypical cytological features. We recommend the evaluation of infertile men for Leydig cell tumors, and we believe that a panel of antibodies, including Ki-67, p53 and bcl-2, used for immunohistochemical analysis could be of diagnostic value in the identification of Malignant and borderline Cases of Leydig cell tumor.