• 제목/요약/키워드: EOC

검색결과 197건 처리시간 0.028초

Salvage Chemotherapy in Recurrent Platinum-Resistant or Refractory Epithelial Ovarian Cancer with Carboplatin and Distearoylphosphatidylcholine Pegylated Liposomal Doxorubicin (Lipo-Dox®)

  • Khemapech, Nipon;Oranratanaphan, S.;Termrungruanglert, W.;Lertkhachonsuk, R.;Vasurattana, A.
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권3호
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    • pp.2131-2135
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    • 2013
  • Background: To evaluate the efficacy and safety of distearoylphosphatidylcholine pegylated liposomal doxorubicin (DPLD) combined with carboplatin for the treatment of platinum resistant or refractory epithelial ovarian cancer (EOC) or fallopian tube cancer. Materials and Methods: A retrospective analysis of women who received DPLD with carboplatin for recurrent EOC or fallopian tube cancer in King Chulalongkorn Memorial Hospital Thailand from January 2006 to August 2011 was conducted. Patients were identified from the medical records and data on demographic factors, stage, histology, surgical findings, cytoreduction status, and prior chemotherapies were abstracted. The efficacy and toxicity of DPLD/carboplatin were evaluated. Progression-free (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Results: A total of 65 patients, 64 with platinum resistant or refractory epithelial ovarian cancer and 1 with fallopian tube cancer, were enrolled. DPLD and carboplatin were given for an average of 4.46 cycles per patient with a total of 273 cycles. Among the 65 evaluable patients, 0% achieved CR, 7.69% PR, 15.4% SD and 76.% PD. The overall response rate was 23.1%. With a median follow-up of 27.4 months, the median progression-free and median overall survival in the 36 patients was 4.46 months and 8.76 months respectively. In the aspect of side effects, palmar-plantar erythrodysesthesia (PPE) occurred in 33.3% (Grade I 22.2%, Grade II 11.1%) and mucositis in 41.7% (Grade I 27.8%, Grade II 13.9%) of all treatment cycles, all Grade 1 or 2. Anemia, leukopenia and thrombocytopenia occurred in 58.3% (Grade I 41.7%, Grade II 16.7%), 66.7% (Grade I 47.2%, Grade II 19.4%), and 22.2% (Grade I 16.6%, Grade II 5.56%) of cycle respectively, and were mostly Grade 1 or 2. Conclusions: DPLD, the second-generation PLD drug combined with carboplatin every 4 weeks, is effective and has low toxicity for treatment of patients with recurrent platinum-resistant or refractory epithelial ovarian cancer.

SATELLITE ORBIT AND ATTITUDE MODELING FOR GEOMETRIC CORRECTION OF LINEAR PUSHBROOM IMAGES

  • Park, Myung-Jin;Kim, Tae-Jung
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.543-547
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    • 2002
  • In this paper, we introduce a more improved camera modeling method for linear pushbroom images than the method proposed by Orun and Natarajan(ON). ON model shows an accuracy of within 1 pixel if more than 10 ground control points(GCPs) are provided. In general, there is high correlation between platform position and attitude parameters but ON model ignores attitude variation in order to overcome such correlation. We propose a new method that obtains an optimal solution set of parameters without ignoring the attitude variation. We first assume that attitude parameters are constant and estimate platform position's. Then we estimate platform attitude parameters using the values of estimated position parameters. As a result, we can set up an accurate camera model for a linear pushbroom satellite scene. In particular, we can apply the camera model to its surrounding scenes because our model provide sufficient information on satellite's position and attitude not only for a single scene but also for a whole imaging segment. We tested on two images: one with a pixel size 6.6m$\times$6.6m acquired from EOC(Electro Optical Camera), and the other with a pixel size 10m$\times$l0m acquired from SPOT. Our camera model procedures were applied to the images and gave satisfying results. We had obtained the root mean square errors of 0.5 pixel and 0.3 pixel with 25 GCPs and 23 GCPs, respectively.

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GOES-9 GVAR Imager Processing System Development by KARI

  • Ahn, S.I.;Koo, I.H.;Yang, H.M.;Hyun, D.H.;Park, D.J.;Kang, C.H.;Kim, D.S.;Choi, H.J.;Paik, H.Y.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.31-33
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    • 2003
  • Recently, KARI developed in-house meteorological sensor processing system named MESIS for GOES GVAR 5-CH Imager for better KOMPSAT EOC mission operation. MESIS consists of antenna system, receiver, serial telemetry card, processing and mapping software, and 2 NT PC systems. This paper shows system requirement, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of operations covering from RF signal reception to web publishing.

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WAVELET-BASED FOREST AREAS CLASSIFICATION BY USING HIGH RESOLUTION IMAGERY

  • Yoon Bo-Yeol;Kim Choen
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.698-701
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    • 2005
  • This paper examines that is extracted certain information in forest areas within high resolution imagery based on wavelet transformation. First of all, study areas are selected one more species distributed spots refer to forest type map. Next, study area is cut 256 x 256 pixels size because of image processing problem in large volume data. Prior to wavelet transformation, five texture parameters (contrast, dissimilarity, entropy, homogeneity, Angular Second Moment (ASM≫ calculated by using Gray Level Co-occurrence Matrix (GLCM). Five texture images are set that shifting window size is 3x3, distance .is 1 pixel, and angle is 45 degrees used. Wavelet function is selected Daubechies 4 wavelet basis functions. Result is summarized 3 points; First, Wavelet transformation images derived from contrast, dissimilarity (texture parameters) have on effect on edge elements detection and will have probability used forest road detection. Second, Wavelet fusion images derived from texture parameters and original image can apply to forest area classification because of clustering in Homogeneous forest type structure. Third, for grading evaluation in forest fire damaged area, if data fusion of established classification method, GLCM texture extraction concept and wavelet transformation technique effectively applied forest areas (also other areas), will obtain high accuracy result.

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Development of Crop Information System using Satellite Images

  • Kim, Seong-Joon;Kwon, Hyung-Joong;Park, Geun-Ae;Lee, Mi-Seon
    • 한국농공학회논문집
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    • 제47권7호
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    • pp.3-9
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    • 2005
  • A computer system for crop information was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGIS 8.3 with Microsoft Access MDB. Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (MIS) images were included in the system to extract agricultural land use items identifiable at various spatial resolutions of images. Agriculture related data inventories using crop cover information such as texture and average pixel value of each band based on crop cultivation calendar were designed and implemented. Three IKONOS images were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were prepared to understand the related characteristics and identify the location easily.

The Laying Hen: An Animal Model for Human Ovarian Cancer

  • Lee, Jin-Young;Song, Gwonhwa
    • Reproductive and Developmental Biology
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    • 제37권1호
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    • pp.41-49
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    • 2013
  • Ovarian cancer is the most lethal world-wide gynecological disease among women due to the lack of molecular biomarkers to diagnose the disease at an early stage. In addition, there are few well established relevant animal models for research on human ovarian cancer. For instance, rodent models have been established through highly specialized genetic manipulations, but they are not an excellent model for human ovarian cancer because histological features are not comparable to those of women, mice have a low incidence of tumorigenesis, and they experience a protracted period of tumor development. However, the laying hen is a unique and highly relevant animal model for research on human ovarian cancer because they spontaneously develop epithelial cell-derived ovarian cancer (EOC) as occurs in women. Our research group has identified common histological and physiological aspects of ovarian tumors from women and laying hens, and we have provided evidence for several potential biomarkers to detect, monitor and target for treatment of human ovarian cancers based on the use of both genetic and epigenetic factors. Therefore, this review focuses on ovarian cancer of laying hens and relevant regulatory mechanisms, based on genetic and epigenetic aspects of the disease in order to provide new information and to highlight the advantages of the laying hen model for research in ovarian carcinogenesis.

Ship Detection for KOMPSAT and RADARSAT/SAR Images: Field Experiments

  • Yang Chan-Su;Kang Chang-Gu
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.144-147
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    • 2004
  • Two different sensors (here, KOMPSAT and RADARSAT) are considered for ship detection, and are used to delineate the detection performance for their data. The experiments are set for coastal regions of Mokpo Port and Ulsan Port and field experiments on board pilot boat are conducted to collect in situ ship validation information such as ship type and length. This paper introduce mainly the experiment result of ship detection by both RADARSAT SAR imagery and landbased RADAR data, operated by the local Authority of South Korea, so called vessel traffic system (VTS) radar. Fine imagery of Ulsan Port was acquired on June 19, 2004 and in-situ data such as wind speed and direction, taking pictures of ships and natural features were obtained aboard a pilot ship. North winds, with a maximum speed of 3.1 m/s were recorded. Ship's position, size and shape and natural features of breakwaters, oil pipeline and alongside ship were compared using SAR and VTS. It is shown that KOMPSAT/EOC has a good performance in the detection of a moving ship at a speed of 7 kts or more an hour that ship and its wake can be imaged. The detection capability of RADARSAT doesn't matter how fast ship is running and depends on a ship itself, e.g. its material, length and type. Our results indicate that SAR can be applicable to automated ship detection for a VTS and SAR combination service.

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다중시기 위성영상을 이용한 시화 방조제 내만 식생변화탐지 (Vegetation Change Detection in the Sihwa Embankment using Multi-Temporal Satellite Data)

  • 정종철;서영상;김상욱
    • 한국환경과학회지
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    • 제15권4호
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    • pp.373-378
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    • 2006
  • The western coast of South Korea is famous for its large and broad tidal lands. Nevertheless, land reclamation, which has been conducted on a large scale, such as Sihwa embankment construction project has accelerated coastal environmental changes in the embankment inland. For monitoring of environmental change, vegetation change detecting of the embankment inland were carried out and field survey data compared with Landsat TM, ETM+, IKONOS, and EOC satellite remotely sensed data. In order to utilize multi-temporal remotely sensed images effectively, all data set with pixel size were analyzed by same geometric correction method. To detect the tidal land vegetation change, the spectral characteristics and spatial resolution of Landsat TM and ETM+ images were analyzed by SMA(spectral mixture analysis). We obtained the 78.96% classification accuracy and Kappa index 0.2376 using March 2000 Landsat data. The SMA(spectral mixture analysis) results were considered with comparing of vegetation seasonal change detection method.

SEGMENTATION-BASED URBAN LAND COVER HAPPING FROM KOMPSAT EOC IMAGES

  • Florian P, Kressler;Kim, Youn-Soo;Klaus T, Steinnocher
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.588-595
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    • 2003
  • High resolution panchromatic satellite images collected by sensors such as IRS-1C/D and KOMPSAT-1 have a spatial resolution of approximately 6 ${\times}$ 6 ㎡, making them very attractive for urban applications. However, the spectral information present in these images is very limited. In order to overcome this limitation, an object-oriented classification approach is used to identify basic land cover types in urban areas. Before an image can be classified it is segmented at different aggregation levels using a multiresolution segmentation approach. In the course of this segmentation various statistical as well as topological information is collected for each segment. Based on this information it is possible to classify image objects and to arrive at much better results than by looking only at single pixels. Using an image recorded by KOMPSAT-1 over the City of Vienna a land cover classification was carried out for two areas. One was used to set up the rules for the different land cover types. The second subset was classified based on these rules, only adjusting some of the functions governing the classification process.

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Atmospheric correction algorithms for satellite ocean color data: performance comparison of "OCTS-type" and "CZCS-type" algorithms

  • Fukushima, Hajime;Mitomi, Yasushi;Otake, Takashi;Toratani, Mitshiro
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.307-312
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    • 1998
  • The paper first describes the atmospheric correction algorithm for the Ocean Color and Temperature Scanner (OCTS) visible band data used at Earth Observation Center (EOC) of National Space Development Agency of Japan (NASDA). It uses 10 candidate aerosol models including "Asian dust model" introduced in consideration of the unique feature of aerosols over the east Asian waters. Based on the observations at 670 and 865 nm bands where the reflectance of the water body can be discarded, the algorithm selects a pair of aerosol models that accounts best for the observed spectral reflectances to synthesize the aerosol reflectance in other bands. The paper also evaluates the performance of the algorithm by comparing the satellite estimates of water-leaving radiance and chlorophyll-a concentration with selected buoy-and ship-measured data. In comparison with the old CZCS-type atmospheric correction algorithm where the aerosol reflectance is as-sumed to be spectrally independent, the OCTS algorithm records factor 2-3 less error in estimating the normalized water-leaving radiances. In terms of chlorophyll-a concentration estimation, however, the accuracy stays vey similar compared to that of the CZCS-type algorithm. This is considered to be due to the nature of in-water algorithm which relies on spectral ratio of water-leaving radiances.

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