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Publication Metadata only Patient’s medical image mobile controller(2017-10-19) Patcharathicha Burananithi; Chayanit Ditsom; Thipnantana Triphom; Pattanasak Mongkolwat; Mahidol University© 2017 IEEE. Medical imaging modalities generate medical images of a patient’s body to assist medical doctors to provide accurate medical diagnoses to the patient. Typical imaging interpretations are done by a board certified physician, called... to another location to seek for a consultation from a radiology about images in question. It is a very time consuming process and inefficient use of resources. This project offers an app called “REMOTIMAGE” that offers an easy access to view medical imagesPublication Open Access การวิเคราะห์และออกแบบระบบสารสนเทศในการทำงานทางทันตแพทย์(2560) บวร คลองน้อย; วันวิสาข์ ศรีสุเมธชัย; Boworn Klongnoi; Vanvisa Sresumatchai; มหาวิทยาลัยมหิดล. คณะทันตแพทยศาสตร์. ภาควิชาศัลยศาสตร์ช่องปากและแม๊กซิลโลเฟเซียล; มหาวิทยาลัยมหิดล. คณะสาธารณสุขศาสตร์. ภาควิชาชีวสถิติ, using the following three steps. The goal of this study was to develop and design a clinical application to facilitate data management in dental clinical practice. The study involved the application of information technology to the process... of gathering clinical dental information pertaining to patient history, dental treatment, follow-up and reporting in order to facilitate clinical practice. This prototype dental information system is to serve as an information technology model for widerPublication Open Access Intestinal capillariasis in the 21st century: clinical presentations and role of endoscopy and imaging(2014) Julajak Limsrivilai; Supot Pongprasobchai; Piyaporn Apisarnthanarak; Sathaporn Manatsathit; Mahidol University. Faculty of Medicine, Siriraj Hospital. Division of GastroenterologyBackground: Intestinal capillariasis is one of the common causes of malabsorption in the East. Reports emphasizing the roles of clinical, endoscopic and radiologic findings of intestinal capillariasis are limited. Methods: Retrospective review..., parasites were discovered in tissue biopsy from endoscopy in 1 from 10 esophagogastroduodenoscopies (EGD), 0 from 7 colonoscopies, 3 from 5 push enteroscopies, and 3 from 5 balloon-assisted enteroscopies (BAE). Endoscopic findings included scallopingPublication Open Access Distinguishing Renal Cell Carcinoma From Other Focal Renal Lesions on Multidetector Computed Tomography(2020) Pornphan Wibulpolprasert; Chompoonuch Thongthong; Bussanee Wibulpolprasert; พรพรรณ วิบุลผลประเสริฐ; ชมพูนุช ธงทอง; บุษณี วิบุลผลประเสริฐ; Mahidol University. Faculty of Medicine Ramathibodi Hospital. Department of Diagnostic and Therapeutic RadiologyBackground: The increased use of imaging modalities has led to a greater incidence in depicting solid renal mass. These lesions comprise a wide spectrum of malignant such as renal cell carcinoma (RCC) and benign histologies. Objective: To determine the multidetector computed tomography (MDCT) features that discriminate RCC from other focal renal lesions. Methods: A retrospective review was performed on 148 patients who underwent renal CT scan followed by renal surgery or biopsy during January 2008 to July 2014. Specific predictive MDCT features of RCC were determined by logistic regression analysis. Interobserver agreement (kappa [K] values) was also calculated for each CT feature. Results: In 148 pathologic proved focal renal lesions, 91 (61.5%) were RCCs and 57 (38.5%) were non-RCCs. RCCs were more likely to be in male patients (OR, 5.39; 95% CI, 2.25 - 12.90), no internal fat component (OR, 46.50; 95% CI, 5.25 - 411.90), locate at peripheral (OR, 7.41; 95% CI, 1.63 - 33.73), and mixed central-peripheral locations (OR, 26.22; 95% CI, 4.23 - 162.58) of the kidney. There was moderate-to-excellent agreement among the readers over all these features (K = 0.43 - 0.91). Conclusions: Focal renal lesion with no internal fat component in MDCT is the most useful characteristic in differentiating RCCs from others.Publication Open Access Improved R2* liver iron concentration assessment using a novel fuzzy c-mean clustering scheme(2015) Pairash Saiviroonporn; Vip Viprakasit; Rungroj Krittayaphong; Mahidol University. Faculty of Medicine Siriraj Hospital. Division of Diagnostic RadiologyBackground: In thalassemia patients, R2* liver iron concentration (LIC) measurement is a common clinical tool for assessing iron overload and for determining necessary chelator dose and evaluating its efficacy. Despite the importance of accurate LIC measurement, existing methods suffer from LIC variability, especially at the severe iron overload range due to inclusion of vessel parts in LIC calculation. In this study, we build upon previous Fuzzy C-Mean (FCM) clustering work to formulate a scheme with superior performance in segmenting vessel pixels from the parenchyma. Our method (MIX-FCM) combines our novel 2D-FCM with the existing 1D-FCM algorithm. This study further assessed possible optimal clustering parameters (OP scheme) and proposed a semi-automatic (SA) scheme for routine clinical application. Methods: Segmentation of liver parenchyma and vessels was performed on T2* images and their LIC maps in 196 studies from 147 thalassemia major patients. We used manual segmentation as the reference. 1D-FCM clustering was performed on the acquired image alone and 2D-FCM used both the acquired image and its LIC data. To execute the MIX-FCM method, the best outcome (OP-MIX-FCM) was selected from the aforementioned methods and was compared to the SA-MIX-FCM scheme. We used the percent value of the normalized interquartile range (nIQR) to its median to evaluate the variability of all methods. Results: 2D-FCM clustering is more effective than 1D-FCM clustering at the severe overload range only, but inferior for other ranges (where 1D-FCM provides suitable results). This complementary performance between the two methods allows MIX-FCM to improve results for all ranges. OP-MIX-FCM clustering error was 2.1 ± 2.3 %, compared with 10.3 ± 9.9 % and 7.0 ± 11.9 % from 1D- and 2D-FCM clustering, respectively. SA-MIX-FCM result was comparable to OP-MIX-FCM result, with both schemes showing ability to decrease overall nIQR by approximately 30 %. Conclusion: Our proposed 2D-FCM algorithm is not as superior to 1D-FCM as hypothesized. In contrast, our MIX-FCM method benefits from the best of both methods to obtain the highest segmentation accuracy at all ranges. Moreover, segmentation accuracy of the practical scheme (SA-MIX-FCM) is comparable to segmentation accuracy of the reference scheme (OP-MIX-FCM). Finally, we confirmed that segmentation is crucial to improving LIC assessments, especially at the severe iron overload range.Publication Open Access Proliferative Myositis: A Comprehensive Review of 33 Case Reports(2019) Pannawat Trerattanavong; Chinnawut Suriyonplengsaeng; Jariya Waisayarat; ปัณณวัฒน์ ตรีรัตนวงศ์; ชินวุฒิ สุริยนเปล่งแสง; จริยา ไวศยารัทธ์; Mahidol University. Faculty of Science. Department of Anatomy; Mahidol University. Faculty of Medicine Ramathibodi Hospital. Department of Pathologyfrom 2000 to 2018 had been reviewed with the main emphasis in clinical presentation, radiological and pathological findings, treatment, and prognosis. Both males (19 cases) and females (14 cases), predominantly the middle-aged and senior adults, werePublication Open Access Chronic spinal cord injury treated with transplanted autologous bone marrow-derived mesenchymal stem cells tracked by magnetic resonance imaging: a case report(2015) Areesak Chotivichit; Monchai Ruangchainikom; Pipat Chiewvit; Adisak Wongkajornsilp; Kittipong Sujirattanawimol; Mahidol University. Faculty of Medicine Siriraj Hospital. Department of Orthopaedic SurgeryIntroduction: Intrathecal transplantation is a minimally invasive method for the delivery of stem cells, however, whether the cells migrate from the lumbar to the injured cervical spinal cord has not been proved in humans. We describe an attempt to track bone marrow-derived mesenchymal stem cells in a patient with a chronic cervical spinal cord injury. Case presentation: A 33-year-old Thai man who sustained an incomplete spinal cord injury from the atlanto-axial subluxation was enrolled into a pilot study aiming to track bone marrow-derived mesenchymal stem cells, labeled with superparamagnetic iron oxide nanoparticles, from intrathecal transplantation in chronic cervical spinal cord injury. He had been dependent on respiratory support since 2005. There had been no improvement in his neurological function for the past 54 months. Bone marrow-derived mesenchymal stem cells were retrieved from his iliac crest and repopulated to the target number. One half of the total cells were labeled with superparamagnetic iron oxide nanoparticles before transplantation to the intrathecal space between L4 and L5. Magnetic resonance imaging studies were performed immediately after the transplantation and at 48 hours, two weeks, one month and seven months after the transplantation. His magnetic resonance imaging scan performed immediately after the transplantation showed hyposignal intensity of paramagnetic substance tagged stem cells in the subarachnoid space at the lumbar spine area. This phenomenon was observed at the surface around his cervical spinal cord at 48 hours. A focal hyposignal intensity of tagged bone marrow-derived stem cells was detected at his cervical spinal cord with magnetic resonance imaging at 48 hours, which faded after two weeks, and then disappeared after one month. No clinical improvement of the neurological function had occurred at the end of this study. However, at 48 hours after the transplantation, he presented with a fever, headache, myalgia and worsening of his motor function (by one grade of all key muscles by the American Spinal Injury Association impairment scale), which lasted for 48 hours. Conclusion: Intrathecal injection of bone marrow-derived stem cells at the lumbar spine level could deliver the cells to the injured cervical spinal cord. Transient complications should be observed closely in the first 48 hours after transplantation. Further study should be carried out to evaluate the result of the treatment.