• 제목/요약/키워드: 국소적 특징

Search Result 223, Processing Time 0.029 seconds

Extrauterine Adenomyoma of the Liver Mimicking a Hepatic Adenoma: A Case Report (간선종으로 오인된 간에 발생한 자궁외 선근종: 증례 보고)

  • Young Joo Won;Ji Young Woo;Jieun Byun;Min Eui Hong
    • Journal of the Korean Society of Radiology
    • /
    • v.81 no.1
    • /
    • pp.197-202
    • /
    • 2020
  • Extrauterine adenomyoma of the liver is extremely rare. Only a few cases have been reported, and these reports have focused mainly on histopathology. Herein, we report the specific imaging findings of extrauterine adenomyoma of the liver in a 43-year-old woman with epigastric pain, which was initially diagnosed as a hepatic adenoma. CT and MRI revealed a solid and cystic mass with hemorrhagic foci and weak persistent enhancement, located in the subcapsular region of the right hepatic lobe.

Focal Xanthogranulomatous Pyelonephritis Associated with Xanthogranulomatous Cholecystitis: A Case Report (황색육아종성 담낭염과 병발된 국소성 황색육아종성 신우신염: 증례 보고)

  • Soong Moon Cho;Ho Kyun Kim;Hye Kyung Lee;Byungmo Lee;Ki Hwan Kim;Kyoung Eun Lee;Jae-Chan Shim;Dae Hyun Hwang;Ghi Jai Lee
    • Journal of the Korean Society of Radiology
    • /
    • v.81 no.1
    • /
    • pp.190-196
    • /
    • 2020
  • Xanthogranulomatous inflammation is a rare inflammatory reaction, characterized by lipid-laden macrophages, known as xanthomas, in histopathologic examination. Aggressive xanthogranulomatous inflammation often manifests as local infiltration but does not affect distant organs unless combined with rare systemic diseases. We report a case of focal xanthogranulomatous pyelonephritis (XGP) associated with severe xanthogranulomatous cholecystitis. Focal XGP was suspected in radiologic examination that showed a cystic lesion with an infiltrative margin, which were surgically resected and confirmed in pathologic examination. To our knowledge, this is the first report of focal xanthogranulomatous pyelonephritis associated with xanthogranulomatous cholecystitis. Moreover, we found peripheral hypointensity around the cystic lesion in the T2-weighted image, probably reflecting hemorrhage and fibrosis of the xanthogranulomatous inflammation.

Tc-99m-HMPAO Regional Cerebral Blood Flow SPECT in Cerebral Rete Mirabile (Cerebral Rete Mirabile의 Tc-99m-HMPAO 국소뇌혈류 SPECT소견)

  • Park, Young-Ha;Chung, Soo-Kyo;Lee, Sung-Yong;Shinn, Kyung-Sub;Kim, Jong-Woo;Bahk, Yong-Whee
    • The Korean Journal of Nuclear Medicine
    • /
    • v.22 no.2
    • /
    • pp.157-161
    • /
    • 1988
  • Cerebral rete mirabile는 잘 알려진 뇌혈관 질환으로 뇌혈관촬영상 내경동맥이 심한 협착 혹은 폐색, 뇌저부의 이상혈관망 형성 및 다수의 연수막동맥간문합과 경경수막 외내경동맥간문합의 특징적 소견을 나타낸다. 최근 방사성의약품의 발전과 함께, Tc-99m-HMPAO를 이용한 뇌SPECT는 뇌혈류역학의 평가, 병소의 조기발견 및 병소의 정확한 위치를 알기위한 상용진단 방법이 되었다. 저자들은 뇌 혈관촬영으로 확진된 10명 의 Cerebral rete mirabile 환자에서 뇌 전산화단층촬영과 Tc-99m-HMPAO를 이용한 국소뇌혈류 SPECT를 검토하였다. 대상환자중 남자는 3명, 여자는 7명이었으며, 연령분포는 6세에서 38세이었다. 1) Tc-99m-HMPAO를 이응한 국소 뇌혈류 SPECT는 뇌의 경색부위 뿐만 아니라 허혈부위까지 나타냈으며, cerebral rete mirabile에서의 뇌의 침습된 부위를 나타내는데 있어서 뇌전산화단층촬영보다 우월하였다. 또한 모든 예에서 뇌전산화반층촬영보다 더 넓은 허혈부위를 보여주었다. 2) 다른 허혈성 뇌혈관질환과 비교하여 cerebral rete mirabile는 비균질성 방사능을 나타냈고, 이는 측부순환로에 의한 것으로 추측된다. 3) Tc-99m-HMPAO를 이용한 국소뇌혈류 SPECT는 뇌의 허혈부위의 범위를 평가, 문합수술의 계획 및 cerebral rete mirabile의 경과를 추적하는데 유용한 검사이다.

  • PDF

Patterns of FDG Uptake in Stomach on F-18 FDG Positron Emission Tomography: Correlation with Endoscopic Findings (F-18 FDG Positron Emission Tomography에서 보이는 위(stomach) 섭취 양상의 임상적 의의: 위 내시경 소견과 비교 평가)

  • Chae, Min-Jeong;Cheon, Gi-Jeong;Lee, Sang-Woo;Byun, Byung-Hyun;Kim, Sung-Eun;Kim, Yu-Chul;Choi, Chang-Woon;Lim, Sang-Moo
    • The Korean Journal of Nuclear Medicine
    • /
    • v.39 no.6
    • /
    • pp.456-463
    • /
    • 2005
  • Purpose: we often find variable degrees of FDG uptake and patterns in stomach, which can make difficult to distinguish physiologic uptake from pathologic uptake on FDG PET. The purpose of this study was to find out the significant findings of stomach on FDG PET. Materials and Methods: Thirty-eight patients who underwent both FDG PET and endoscopy within one week from Jun. 2003, to Aug. 2004 were included in this study. We reviewed 38 patients (18 for medical check up, 15 for work up of other malignancies, and 5 for the evaluation of stomach lesion). Their mean age was 56 years old (range:$32{\sim}79$), men and women were 28 and 10, respectively. Two nuclear physicians evaluated five parameters on FDG PET findings of stomach with a consensus: 1) visual grades 2) maximum SUV (max.SUV) 3) focal 4) diffuse and S) asymmetric patterns. We correlated the lesions of FDG PET findings of stomach with those of endoscopy. We considered more than equivocal findings on FDG PET as positive. Results: The six of 38 patients were proven as malignant lesions by endoscopic biopsy and others were inflammatory lesions (ulcer in 3, chronic atrophic gastritis in 12, uncommon forms of gastritis in 5), non-inflammatory lesions (n=3), and normal stomach (n=9). By the visual analysis, malignant lesions had higher FDG uptake than the others. The max.SUV of malignant lesions was $7.95{\pm}4.83$ which was significantly higher than the other benign lesions ($2.9{\pm}0.69$ in ulcer, $3.08{\pm}1.2$ in chronic atrophic gastritis, $3.2{\pm}1.49$ in uncommon forms of gastritis (p=0.044)). In the appearance of stomach on FDG PET, malignant lesions were shown focal (5 of 6) and benign inflammatory lesions were shown diffuse (9 of 20) and asymmetric (14 of 20). Benign lesions and normal stomach were shown variable degrees of uptake and patterns. Some cases of benign inflammatory lesions such as ulcer and gastritis were shown focal and mimicked cancerous lesion (4 of 15). Conclusion: Gastric malignant lesions had higher FDG uptake and focal pattern. However, benign inflammatory lesions had moderate degrees of uptake and diffuse and asymmetric patterns rather than focal. It is difficult to differentiate between benign lesions including normal.

On the use of weighted adaptive nearest neighbors for missing value imputation (가중 적응 최근접 이웃을 이용한 결측치 대치)

  • Yum, Yunjin;Kim, Dongjae
    • The Korean Journal of Applied Statistics
    • /
    • v.31 no.4
    • /
    • pp.507-516
    • /
    • 2018
  • Widely used among the various single imputation methods is k-nearest neighbors (KNN) imputation due to its robustness even when a parametric model such as multivariate normality is not satisfied. We propose a weighted adaptive nearest neighbors imputation method that combines the adaptive nearest neighbors imputation method that accounts for the local features of the data in the KNN imputation method and weighted k-nearest neighbors method that are less sensitive to extreme value or outlier among k-nearest neighbors. We conducted a Monte Carlo simulation study to compare the performance of the proposed imputation method with previous imputation methods.

On the Use of Sequential Adaptive Nearest Neighbors for Missing Value Imputation (순차 적응 최근접 이웃을 활용한 결측값 대치법)

  • Park, So-Hyun;Bang, Sung-Wan;Jhun, Myoung-Shic
    • The Korean Journal of Applied Statistics
    • /
    • v.24 no.6
    • /
    • pp.1249-1257
    • /
    • 2011
  • In this paper, we propose a Sequential Adaptive Nearest Neighbor(SANN) imputation method that combines the Adaptive Nearest Neighbor(ANN) method and the Sequential k-Nearest Neighbor(SKNN) method. When choosing the nearest neighbors of missing observations, the proposed SANN method takes the local feature of the missing observations into account as well as reutilizes the imputed observations in a sequential manner. By using a Monte Carlo study and a real data example, we demonstrate the characteristics of the SANN method and its potential performance.

On the Use of Modified Adaptive Nearest Neighbors for Classification (수정된 적응 최근접 방법을 활용한 판별분류방법에 대한 연구)

  • Maeng, Jin-Woo;Bang, Sung-Wan;Jhun, Myoung-Shic
    • The Korean Journal of Applied Statistics
    • /
    • v.23 no.6
    • /
    • pp.1093-1102
    • /
    • 2010
  • Even though the k-Nearest Neighbors Classification(KNNC) is one of the popular non-parametric classification methods, it does not consider the local features and class information for each observation. In order to overcome such limitations, several methods have been developed such as Adaptive Nearest Neighbors Classification(ANNC) and Modified k-Nearest Neighbors Classification(MKNNC). In this paper, we propose the Modified Adaptive Nearest Neighbors Classification(MANNC) that employs the advantages of both the ANNC and MKNNC. Through a real data analysis and a simulation study, we show that the proposed MANNC outperforms other methods in terms of classification accuracy.

Trigger Point Injection for Myofascial Pain Syndrome (근막 통증 증후군의 통증 유발점 주사)

  • Kim, Chul-Hong;Park, Jin-Woo
    • The Journal of Korean Orthopaedic Ultrasound Society
    • /
    • v.7 no.2
    • /
    • pp.127-131
    • /
    • 2014
  • Skeletal muscles which are the largest part of human body may develop pain and dysfunction. The myofascial pain syndrome that has trigger points as a unique characteristic is a major cause of morbidity. Trigger points are focal, hyperirritable painful areas located in a taut band of skeletal muscle. They produce local area pain and a referred pattern pain and often accompany chronic joint dysfunction. Various modalities are used to inactivate trigger points in myofascial pain syndrome. Trigger-point injection has been shown to be one of the most effective treatment modality to provide prompt relief of symptoms. This review article presents general concept of myofascial pain syndrome and technique of trigger point injection.

  • PDF

Clinicopathologic Features and Difference in Prognosis in Synchronous and Metachronous Hepatic Metastases of Gastric Cancer (동시성 및 이시성 간전이 위암의 임상병리학적 특성 및 예후의 차이)

  • Kim, Jong-Dae;Ha, Tae-Kyung;Kwon, Sung-Joon
    • Journal of Gastric Cancer
    • /
    • v.9 no.3
    • /
    • pp.128-135
    • /
    • 2009
  • Purpose: The aim of this study was to compare synchronous and metachronous hepatic metastases in patients with gastric cancer to determine clinicopathologic features and differences in prognosis as a function of the timing of the metastasis and the treatment modality rendered. Materials and Methods: Sixty-seven patients who were diagnosed with gastric cancer metastatic to the liver and treated at the Hanyang University Hospital between June 1992 and December 2006 were retrospectively analyzed to study the pertinent clinicopathologic features and effect of treatment methods. Results: There was a significant difference with respect to lymphatic (P=0.041) and vascular invasion (P=0.036) in comparing the clinicopathologic features between the patients with synchronous and metachronous hepatic metastases. The 1-year survival rate and median survival time of patients with gastric cancer and liver metastases were 38.9% and 9.2 months in the entire patient cohort, 30.9% and 9.2 months in the synchronous group, and 44.5% and 9.7 months in the metachronus group, respectively (P=0.436). The group of patients undergoing local treatment (such as surgery and radiologic intervention) followed by systemic chemotherapy, the group of patients receiving systemic chemotherapy only, and the untreated group of patients were compared, and there was no difference between the synchronous and metachronous groups. The synchronous and metachronous groups had high survival rates with local treatment. Conclusion: In patients with gastric cancer and liver metastases, there was no difference in prognosis based on the timing of the hepatic metastases. Independent of the timing of hepatic metastasis, aggressive treatment, such as surgery and radiologic intervention, may help improve the prognosis.

  • PDF

Patterns Recognition Using Translation-Invariant Wavelet Transform (위치이동에 무관한 웨이블릿 변환을 이용한 패턴인식)

  • Kim, Kuk-Jin;Cho, Seong-Won;Kim, Jae-Min;Lim, Cheol-Su
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.13 no.3
    • /
    • pp.281-286
    • /
    • 2003
  • Wavelet Transform can effectively represent the local characteristics of a signal in the space-frequency domain. However, the feature vector extracted using wavelet transform is not translation invariant. This paper describes a new feature extraction method using wavelet transform, which is translation-invariant. Based on this translation-invariant feature extraction, the iris recognition method, based on this feature extraction method, is robust to noises. Experimentally, we show that the proposed method produces super performance in iris recognition.