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Jieyu An,Wan Mohd Nazmee Wan Zainon,Wan Zainon 대한공간정보학회 2023 Spatial Information Research Vol.31 No.2
Massive volumes of online reviews have been generated as cities have grown and information has exploded. The majority of previous research on reviews has focused on debate, bias, and sentiment analysis. There is a lack of visual perception of the spatiotemporal pattern distribution in these reviews. This study attempts to bridge this gap and proposes an interactive visualization system combining Word cloud and OpenStreetMap to allow for visual exploration of spatial features, location mining, and decision making based on reviews. In this visualization, the original context of the reviews can be first explored through the designed interactive word cloud. Then, the geographical distribution information of the reviews will be presented and absorbed rapidly on the geographic map. Our system can guide users not only through the spatial features of online reviews but also efficiently retrieve their original review context by providing an interactive visualization and intuitive results. Thus, it is appropriate as an alternative method by transforming complex and abstract information into a simple and easy-to-understand visual language for online reviews understanding.
Rohani Mohd Fazrin Mohd,Yonan Siti Nurshahirah Mohd,Tagiling Nashrulhaq,Zainon Wan Mohd Nazlee Wan,Udin Yusri,Nawi Norazlina Mat 대한척추외과학회 2020 Asian Spine Journal Vol.14 No.5
Study Design: Retrospective study.Purpose: This study aims to semiquantitatively evaluate the standardized uptake value (SUV) of <sup>99m</sup>Tc-methylene diphosphonate (MDP) radionuclide tracer in the normal vertebrae of breast cancer patients using an integrated single-photon emission computed tomography (SPECT)/computed tomography (CT) scanner.Overview of Literature: Molecular imaging techniques using gamma cameras and stand-alone SPECT have traditionally been utilized to evaluate metastatic bone diseases. However, these methods lack quantitative analysis capabilities, impeding accurate uptake characterization.Methods: A total of 30 randomly selected female breast cancer patients were enrolled in this study. The SUVmean and SUVmax values for 286 normal vertebrae at the thoracic and lumbar levels were calculated based on the patients’ body weight (BW), body surface area (BSA), and lean body mass (LBM). Additionally, 106 degenerative joint disease (DJD) lesions of the spine were also characterized, and both their BW SUVmean and SUVmax values were obtained. A receiver operating characteristic (ROC) curve analysis was then performed to determine the cutoff value of SUV for differentiating DJD from normal vertebrae.Results: The mean±standard deviations for the SUVmean and SUVmax in the normal vertebrae displayed a relatively wide variability: BW=3.92±0.27 and 6.51±0.72, BSA=1.05±0.07 and 1.75±0.17, and LBM=2.70±0.19 and 4.50±0.44, respectively. Generally, the SUVmean had a lower coefficient of variation than the SUVmax. For DJD, the mean±standard deviation for the BW SUVmean and SUVmax was 5.26±3.24 and 7.50±4.34, respectively. Based on the ROC curve, no optimal cutoff value was found to differentiate DJD from normal vertebrae.Conclusions: In this study, the SUV of <sup>99m</sup>Tc-MDP was successfully determined using SPECT/CT. This research provides an approach that could potentially aid in the clinical quantification of radionuclide uptake in normal vertebrae for the management of breast cancer patients.