• Journal of the Korean Society of Radiology
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• v.82 no.1
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• pp.201-206
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• 2021

The most common malignant tumors in the colon are adenocarcinomas, while leiomyosarcoma (LMS) are rare. Here, we report a case of LMS of the sigmoid colon in a 73-year-old man who presented with sigmoido-rectal intussusception, which was discovered by abdominal computed tomography. As LMS of the colon is uncommon and is rarely associated with intussusception, we have described the imaging features in this case report.

• Journal of Veterinary Science
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• v.25 no.4
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• pp.53.1-53.6
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• 2024

Importance: This case report presents the successful surgical removal of a pheochromocytoma in a dog using indocyanine green (ICG) fluorescence imaging. Case Presentation: A 10-year-old, 6.87 kg, spayed female poodle was referred for an abdominal mass and eight episodes of vomiting. Computed tomography revealed masses in the spleen and left adrenal gland. Based on the plasma normetanephrine levels, the patient was diagnosed with pheochromocytoma. Subsequently, a total splenectomy and left adrenalectomy were performed. A dose of 5 mg/kg ICG was administered intravenously 24 h prior to surgery. Using ICG allowed visualization of tumor margins, aiding in complete resection and minimizing anesthesia-related risks. Conclusions and Relevance: No evidence of recurrence or metastasis has been observed for 12 months. To our knowledge, this is the first report of the surgical removal of a pheochromocytoma using intraoperative ICG imaging in veterinary medicine. This case highlights the efficacy of ICG fluorescence imaging as a valuable tool for the surgical management of adrenal tumors in veterinary medicine.

• Journal of the Korean Society of Radiology
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• v.85 no.4
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• pp.813-819
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• 2024

Ectopic breast tissue, which results from incomplete regression of the mammary line during embryogenesis, is observed in 0.2%-6% of the population. Carcinoma development in ectopic breast tissue, especially in the abdominal or chest wall, is rare. Here we present the unusual case of a 38-year-old woman with invasive ductal carcinoma in the ectopic breast tissue on the left side of the chest wall and concurrent fibroadenoma in the ectopic breast tissue on the right side. We also describe the US and MR findings of these masses.

• Journal of Gastric Cancer
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• v.8 no.2
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• pp.104-109
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• 2008

Purpose: To investigate the clinicopathlogical characteristics and the surgical methods for gastric submucosal tumors in Korea, the Information Committee of the Korean Gastric Cancer Association performed a nationwide survey. Materials and Methods: Data on 878 patients who underwent resection from 2005 to 2006 were collected from medical records obtained from 47 institutes. Diagnosis, demographics, symptoms, tumor factors (location, size, degree of malignancy) and operative factors (surgicalmethod and approach, mortality) were analyzed. Results: Gastrointestinal stromal tumors (GISTs) were the most common cancers (n=586, 66.8%), followed by leiomyomas (n=97, 11.1%), schwannomas (n=70, 8.0%), ectopic pancreas (n=67, 7.8%) and carcinoids (n=16, 1.8%). The mean age of patients was 56.0 years and the male to female ratio was 1:1.18. Only 40.9% of the patients had symptoms at the time of diagnosis, such as abdominal pain, dyspepsia and bleeding. Gastric submucosal tumors were most frequently located in the upper third of the stomach and 55.4% of the GISTs (n=319) and 84.5% of the leiomyomas (n=84.5%) were located in the upper third of the stomach. Wedge resection (n=726, 82.8%) was the most common operative method, and laparoscopic surgery was performed in 388 patients (44.2%). Only one patient (0.1%) died within 30 days of surgery. A total of 115 patients withGISTs (21.1%, 115/544) had a high risk of malignancy and 41 patients (8.3%, 45/495) received adjuvant imatinib mesylate therapy. Conclusion: The survey showed that about two-thirds of the patients with a gastric submuscoal tumor (SMT) had a GIST, and about one-half of the patients underwent laparoscopic resection. These data presented in the nationwide survey could be used as a fundamental resource for gastric submucosal tumors in Korea.

• Journal of Gastric Cancer
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• v.17 no.3
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• pp.220-227
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• 2017

Purpose: Precise localization of tumors and creation of sufficient proximal resection margins are complicated processes during total laparoscopic distal gastrectomy (TLDG) for clinical T1/T2 gastric cancers. Various solutions to this problem have also yielded many disadvantages. In this study, we reviewed a preoperative endoscopic clipping method based on the results of negative biopsy and selective intraoperative radiography. Materials and Methods: A retrospective review of 345 consecutive patients who underwent TLDG and preoperative endoscopic clipping for tumor localization was conducted. During preoperative endoscopy, the endoscopists performed negative biopsies just 1-2 cm selectively above the tumor's upper limit. After confirming the biopsy results, endoscopic metal clips were applied just proximal to the negative biopsy site the day before surgery. Selective intraoperative tumor localization using portable abdominal radiography was performed only when we could not ensure a precise resection line. Results: Negative biopsy was performed in 244 patients. Larger tumor size (P=0.008) and more distally located tumors (P=0.052) were observed more frequently in the negative biopsy group than in the non-negative biopsy group. The non-negative biopsy group had significantly higher frequencies of differentiated tumor types than the negative biopsy group (P=0.003). Of the 244 patients who underwent negative biopsies, 6 had cancer cells in their biopsy specimens. We performed intraoperative radiography in 12 patients whose tumors had difficult-to-determine proximal margins. No tumors were found in the proximal resection margins of any patients. Conclusions: Our tumor localization method is a promising and accurate method for securing a sufficient resection margin during TLDG.

• Korean Journal of Radiology
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• v.22 no.3
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• pp.344-353
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• 2021

Objective: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on deep learning algorithm. Materials and Methods: Abdominal contrast-enhanced CT images of 148 pathologically confirmed GIST cases were retrospectively collected for the development of a deep learning classification algorithm. The areas of GIST masses on the CT images were retrospectively labelled by an experienced radiologist. The postoperative pathological mitotic count was considered as the gold standard (high mitotic count, > 5/50 high-power fields [HPFs]; low mitotic count, ≤ 5/50 HPFs). A binary classification model was trained on the basis of the VGG16 convolutional neural network, using the CT images with the training set (n = 108), validation set (n = 20), and the test set (n = 20). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated at both, the image level and the patient level. The receiver operating characteristic curves were generated on the basis of the model prediction results and the area under curves (AUCs) were calculated. The risk categories of the tumors were predicted according to the Armed Forces Institute of Pathology criteria. Results: At the image level, the classification prediction results of the mitotic counts in the test cohort were as follows: sensitivity 85.7% (95% confidence interval [CI]: 0.834-0.877), specificity 67.5% (95% CI: 0.636-0.712), PPV 82.1% (95% CI: 0.797-0.843), NPV 73.0% (95% CI: 0.691-0.766), and AUC 0.771 (95% CI: 0.750-0.791). At the patient level, the classification prediction results in the test cohort were as follows: sensitivity 90.0% (95% CI: 0.541-0.995), specificity 70.0% (95% CI: 0.354-0.919), PPV 75.0% (95% CI: 0.428-0.933), NPV 87.5% (95% CI: 0.467-0.993), and AUC 0.800 (95% CI: 0.563-0.943). Conclusion: We developed and preliminarily verified the GIST mitotic count binary prediction model, based on the VGG convolutional neural network. The model displayed a good predictive performance.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.26 no.1
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• pp.91-97
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• 2022

Backgrounds/Aims: Metastatic lesions of the pancreas (PMET) account for 1%-5% of all malignant solid pancreatic lesions (SPL). In this study we evaluated the utility of endoscopic ultrasonography with fine needle aspiration (EUS-FNA) in diagnosing PMET. Methods: Patients who underwent EUS-FNA at a community referral center between 2011-2017 for SPL were identified. Clinical, radiologic, and EUS-FNA features of those with PMET were compared to those with primary solid tumors of the pancreas: pancreatic adenocarcinoma (PDAC) and neuroendocrine tumors (PNET). Results: A total of 191 patients were diagnosed with solid pancreatic malignancy using EUS-FNA: 156 PDAC, 27 PNET, and eight (4.2%) had PMET. Patients with PMET were less likely to have abdominal pain (25.0% vs. 76.3% vs. 48.2%; p < 0.01) or obstructive jaundice (37.5% vs. 58.3% vs. 0%; p < 0.01) compared to PDAC and PNET. Those with PMET were more likely to have mass lesions with/without biliary or pancreatic ductal dilatations (100% vs. 86.5% vs. 85.2%; p < 0.01) and lower CA19-9 (82.5 ± 43.21 U/mL vs. 4,639.30 ± 11,489.68 U/mL vs. 10.50 ± 10.89 U/mL; p < 0.01) compared to PDAC and PNET. Endosonographic features were similar among all groups. Seven (87.5%) patients with PMET had a personal history of malignancy prior to PMET diagnosis. The primary malignancy was renal cell carcinoma in five PMET. Conclusions: PMET are exceedingly rare, comprising less than 5% of SLP. Patients with PMET are less likely to present with symptoms and mostly identified by surveillance imaging for the primary malignancy.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.86-89
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• 2002

The purpose is to develop a system to reduce the organ movement from the respiration during the 3DCRT or IMRT. This research reports the experience of utilizing personally developed system for mobile tumors. The patients clinical database was structured for 10 mobile tumors and patient setup error measurement and immobilization device effects were investigated. The RMRD system is composed of the respiratory motion reduction device utilized in prone position and abdominal strip device(ASD) utilized in the supine position, and the analysis program, which enables the analysis on patients setup reproducibility. Dose to normal tissue between patients with RMRDs and without RMRDs was analyzed by comparing the normal tissue volume, field margins and dose volume histogram(DVH) using fluoroscopy and CT images. And, reproducibility of patients setup verify by utilization of digital images. When patients breathed freely, average movement of diaphragm was 1.2 cm in prone position in contrast to 1.6 cm in supine position. In prone position, difference in diaphragm movement with and without RMRDs was 0.5 cm and 1.2 cm, respectively, showing that PTV margins could be reduced to as much as 0.7 cm. With RMRDs, volume of the irradiated normal tissue (lung, liver) reduced up to 20 % in DVH analysis. Also by obtaining the digital image, reproducibility of patients setup verify by visualization using the real-time image acquisition, leading to practical utilization of our software. Internal organ motion due to breathing can be reduced using RMRDs, which is simple and easy to use in clinical setting. It can reduce the organ motion-related PTV margin, thereby decrease volume of the irradiated normal tissue.

• Journal of Gastric Cancer
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• v.4 no.2
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• pp.126-130
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• 2004

Purpose: A Krukenberg tumor is an ovarian tumor of a signet-ring cell type. This tumor arises more commonly in young women, and the prognosis is poor. The primary focus of this tumor is often found at gastrointestinal malignancy, especially gastric cancer. We tried to identify the clinical characteristics of this tumor, and in that regard, this report might be helpful. Materials and Methods: We reviewed the 61 patients with Krukenberg tumors, who had been diagnosed at our hospital from 1994 to 2002, and retrospectively analyzed the clinical features. Results: The age distribution ranged from 15 to 59 years, and the mean age was 41 years. The most common symptom was a lower abdominal mass ($46\%$). Fourty-two cases ($77\%$) showed bilateral ovarian involvement, and the size of this tumor was variable, but in 24 cases ($4\%$) the size was $5\∼10$ cm for the largest diameter. Among 54 cases, 40 cases had ascites, and the volume of ascites was variable. The median survival of the 61 patients was 10 months, and Krukenberg tumor developed 19.7 months after the primary operation. The median survival durations of recurrence patterns were 20 months for the Krukenberg tumor alone, and 7 months for the Krukenberg tumor with peritoneal seeding. Conclusion: In young women treated with a gastrectomy, especially one for an advanced tumor, closed observation with abdominal ultrasonography or computed tomography to detect a Krukenberg tumor is recommended. The patient with a Krukenberg tumor alone has a better prognosis than one with a Krukenberg tumor combined peritoneal seeding. We will have to consider more progressive treatment for the patient with a Krukenberg tumor alone.

• Journal of the Korea Computer Graphics Society
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• v.29 no.5
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• pp.21-30
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• 2023

Accurate segmentation of the kidney tumor is necessary to identify shape, location and safety margin of tumor in abdominal CT images for surgical planning before renal partial nephrectomy. However, kidney tumor segmentation is challenging task due to the various sizes and locations of the tumor for each patient and signal intensity similarity to surrounding organs such as intestine and spleen. In this paper, we propose a semi-supervised learning-based mean teacher network that utilizes both labeled and unlabeled data using a kidney local guided map including kidney local information to segment small-sized kidney tumors occurring at various locations in the kidney, and analyze the performance according to the kidney tumor size. As a result of the study, the proposed method showed an F1-score of 75.24% by considering local information of the kidney using a kidney local guide map to locate the tumor existing around the kidney. In particular, under-segmentation of small-sized tumors which are difficult to segment was improved, and showed a 13.9%p higher F1-score even though it used a smaller amount of labeled data than nnU-Net.