• Journal of Chest Surgery
• /
• v.32 no.7
• /
• pp.686-689
• /
• 1999

Descending necrotizing mediastinitis(DNM) is a rare complication of the oropharyngeal and cervical infection. Descending necrotizing mediastinitis requires an early and aggressive surgical approach to reduce the high morbidity and mortality associated with this disease. A 39-year-old man complained of odynophagia, neck swelling, and disturbance of swallowing with dyspnea. CT scans of the neck suggested a peritonsillar abscess and retropharyngeal and peripharyngeal abscess. He underwent cervical drainage. He remained febrile and complained of severe both pain in both shoulders. On postoperative day 5, a follow-up CT scan confirmed a mediastinal abscess. Reexploration of the neck and right thoracotomy for debridement and drainage of the mediastinal abscess were performed.. A large amount of pus was drained from the anterior and posterior mediastinum and its necrotic tissue was debrided. The patient's condition and radiologic findings gradually improved. Cultures of the drain fluid revealed Klebsiella pneumoniae. He was discharged on the 85th hospital day. In our experience, both transcervical drainage and aggressive mediastinal exploration via thoracotomy can lead to an improvement in the survival of the patient with descending necrotizing mediastinitis. CT scanning is useful for early diagnosis of mediastinitis and for follow up.

• Archives of Plastic Surgery
• /
• v.35 no.2
• /
• pp.201-204
• /
• 2008

Purpose: Now the CT scanner and PACS program proved to be an excellent instrument for detection and localization of most facial foreign bodies above certain minimum levels of detectability. The severity of injury in penetrating trauma on the face is often underestimated in physical examination. Wood, with its porous consistency and organic nature, provides a good medium for microbial agents. This is a report of our recent experience with wooden foreign bodies in the parotid gland imaged with CT. Methods: A 9-year-old boy was referred for evaluation of possible retained foreign body within his face. One day earlier, he had fallen, face down approximately 1 miter onto ground. He had subsequently undergone an exploration of his right parotido-masseteric area at an outside hospital with repair of a right facial laceration. Enhanced 2 mm axial and coronal CT scans were obtained through the face. Axial and coronal CT images were obtained with a General Electric(Milwaukee, Wis) 9800 CT scanner at 130 kV, 90 mA, with a 2 mm section thickness. Results: We finally decided the linear "gas" attenuation was a foreign body because of its linear configuration, which did not conform to that of an anatomic structure, and on the basis of articles that described a wood foreign body in the orbit as having the appearance of air. We found that wood was hypoattenuating($-464{\pm}27HU$). Conclusion: We recommend this type of software program for CT scanning for any patient with an injury on the face in which a foreign body is suspected.

• Imaging Science in Dentistry
• /
• v.38 no.3
• /
• pp.163-167
• /
• 2008

Purpose : The purpose of this study is to evaluate the position of the mandibular canal in relation to the mandibular third molar by cone beam CT in cases showing a close relationship between the third molar and the mandibular canal on the panoramic radiograph. Materials and Methods : The panoramic images and cone beam CT scans of 87 impacted mandibular third molars in 60 patients were evaluated to assess the tooth relationship to the mandibular canal. The clearness of the canal wall and the vertical depth of the lower third molar were evaluated on panoramic radiographs. The lower third molars were assessed using cone beam CT to determine the proximity and position of the canal relative to the roots. Results : In the 66 cases where the canal wall was unclear on the panoramic radiographs, 58 (87.9%) of the third molars had contact between the canal and root; 34 (51.5%) canals were showed an inferior position and 22 (33.3%) showed a linguoinferior position on cone beam CT. Conclusion : Interruption of the canal wall on panoramic radiographs was highly predictive of contact between the mandibular canal and the third molar. Cross sectional CT may be indicated for localization of the mandibular canal in such cases.

• Journal of Veterinary Clinics
• /
• v.24 no.1
• /
• pp.46-50
• /
• 2007

A 7-year-old female, Jindo dog was referred to the Veterinary Teaching Hospital with mild dyspnea and anorexia due to a gunshot trauma. The dog was wounded in the thoracic region 3 days ago. Plain radiographs showed the left 8th rib fracture, interstitial pattern in the left caudal lung field and pleural effusion. Abdominal radiographs showed the lead bullet. Computed tomographs(CT) showed the size of pulmonary contusion, laceration, lung parenchymal injuries, hemothorax and perforation of abdominal wall. The therapeutic plan was based on abnormalities seen on CT scans but not clearly seen in survey radiographs. Thoracic CT significantly provides even more informations compared with the corresponding radiographs in thoracic gunshot trauma. Although thoracic survey radiographs are useful as a screening tool, CT is highly sensitive in detecting thoracic injuries after thoracic trauma and is superior to routine thoracic survey radiographs in visualizing lung contusion, pneumothorax and hemothorax. Therefore, we recommend CT in the initial diagnostic work-up of patients with thoracic injuries and with suspected chest trauma because early and exact diagnosis of all thoracic injuries along with sufficient therapeutic consequences may reduce complications.

• The Korean Journal of Medicine
• /
• v.93 no.6
• /
• pp.575-581
• /
• 2018

Retroperitoneal fibrosis (RPF) is a rare disease characterized by marked fibro-inflammatory tissue in the retroperitoneum. Approximately 70% of cases of RPF are idiopathic, while the rest can be secondary to several other causes. The diagnosis is mainly obtained by imaging modalities such as computed tomography (CT). However, histological examination should be considered when the clinical manifestations and imaging studies suggest malignancy. In particular, in malignant diseases with retroperitoneal metastases, abnormal collagen plaques are formed from an exuberant desmoplastic response, which may not be distinguishable from RPF on CT scans. Therefore, even if CT suggests RPF, biopsy is essential to identify malignant disease because it typically results in a fatal prognosis. Here, we report a case of metastatic adenocarcinoma of unknown primary site that developed only in the retroperitoneum and was initially diagnosed as RPF based on CT findings.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.18 no.6
• /
• pp.267-275
• /
• 2023

This paper presents the development of specialized software for annotating volume-of-interest on ¹⁸F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within ¹⁸F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding ¹⁸F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with ¹⁸F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

• Korean Journal of Radiology
• /
• v.21 no.4
• /
• pp.494-500
• /
• 2020

Objective: This study presents a preliminary report on the chest radiographic and computed tomography (CT) findings of the 2019 novel coronavirus disease (COVID-19) pneumonia in Korea. Materials and Methods: As part of a multi-institutional collaboration coordinated by the Korean Society of Thoracic Radiology, we collected nine patients with COVID-19 infections who had undergone chest radiography and CT scans. We analyzed the radiographic and CT findings of COVID-19 pneumonia at baseline. Fisher's exact test was used to compare CT findings depending on the shape of pulmonary lesions. Results: Three of the nine patients (33.3%) had parenchymal abnormalities detected by chest radiography, and most of the abnormalities were peripheral consolidations. Chest CT images showed bilateral involvement in eight of the nine patients, and a unilobar reversed halo sign in the other patient. In total, 77 pulmonary lesions were found, including patchy lesions (39%), large confluent lesions (13%), and small nodular lesions (48%). The peripheral and posterior lung fields were involved in 78% and 67% of the lesions, respectively. The lesions were typically ill-defined and were composed of mixed ground-glass opacities and consolidation or pure ground-glass opacities. Patchy to confluent lesions were primarily distributed in the lower lobes (p = 0.040) and along the pleura (p < 0.001), whereas nodular lesions were primarily distributed along the bronchovascular bundles (p = 0.006). Conclusion: COVID-19 pneumonia in Korea primarily manifested as pure to mixed ground-glass opacities with a patchy to confluent or nodular shape in the bilateral peripheral posterior lungs. A considerable proportion of patients with COVID-19 pneumonia had normal chest radiographs.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.7
• /
• pp.84-91
• /
• 2017

This study was performed using Somatom Definition Flash (Siemens, Enlarge, Germany) and GE 64-MDCT (Discovery 750 HD, GE HEALTHCARE, Milwaukee, USA.) using high-density medical materials that (are indispensable to?) computed tomography. We analyzed quantitatively the rate of change of the CT number of the CT reconstruction images by means of the IMAR and MAR algorithms using the phantom images acquired after scanning and previously captured raw data images. As a result, it was shown that the IMAR and MAR algorithms provided if ferent phantom images in the case of all medical high-density materials (p <0.05). The black streak artifacts were analyzed using the MAR and IMAR algorithms to determine if they corresponded to stainless steel materials (p>0.05). Also, it was found that the application of the IMAR algorithm affects the attenuation deviation, because there is a change in the image CT number compared to that before. The results suggest that, in the future, after the implant procedure, it would be useful to observe the surgical site and surrounding tissues during follow-up CT scans.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.6 no.1
• /
• pp.37-44
• /
• 2013

In this paper, we propose the pulmonary nodule detection system based on voxel classification. The proposed system consists of three main steps. In the first step, we segment lung volume. In the second step, the lung structures are initially segmented. In the last step, we classify the nodules using voxel classification. To describe characteristics of each voxel, we extract the log-polar sampling based features. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.5 no.1
• /
• pp.13-19
• /
• 2012

In this paper, we propose the pulmonary nodule detection method based on hierarchical 3D block analysis. The proposed system consists of two main part. In the first part, we select the block which is need to analysis. In the second part, we analysis the selected blocks. We extract the shape based features of the object in the selected blocks. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.