• Title/Summary/Keyword: Medical Imaging

검색결과 4,213건 처리시간 0.027초

Imaging-Based Versus Pathologic Survival Stratifications of Diffuse Glioma According to the 2021 WHO Classification System

  • So Jeong Lee;Ji Eun Park;Seo Young Park;Young-Hoon Kim;Chang Ki Hong;Jeong Hoon Kim;Ho Sung Kim
    • Korean Journal of Radiology
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    • 제24권8호
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    • pp.772-783
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    • 2023
  • Objective: Imaging-based survival stratification of patients with gliomas is important for their management, and the 2021 WHO classification system must be clinically tested. The aim of this study was to compare integrative imaging- and pathology-based methods for survival stratification of patients with diffuse glioma. Materials and Methods: This study included diffuse glioma cases from The Cancer Genome Atlas (training set: 141 patients) and Asan Medical Center (validation set: 131 patients). Two neuroradiologists analyzed presurgical CT and MRI to assign gliomas to five imaging-based risk subgroups (1 to 5) according to well-known imaging phenotypes (e.g., T2/FLAIR mismatch) and recategorized them into three imaging-based risk groups, according to the 2021 WHO classification: group 1 (corresponding to risk subgroup 1, indicating oligodendroglioma, isocitrate dehydrogenase [IDH]-mutant, and 1p19q-codeleted), group 2 (risk subgroups 2 and 3, indicating astrocytoma, IDH-mutant), and group 3 (risk subgroups 4 and 5, indicating glioblastoma, IDHwt). The progression-free survival (PFS) and overall survival (OS) were estimated for each imaging risk group, subgroup, and pathological diagnosis. Time-dependent area-under-the receiver operating characteristic analysis (AUC) was used to compare the performance between imaging-based and pathology-based survival model. Results: Both OS and PFS were stratified according to the five imaging-based risk subgroups (P < 0.001) and three imaging-based risk groups (P < 0.001). The three imaging-based groups showed high performance in predicting PFS at one-year (AUC, 0.787) and five-years (AUC, 0.823), which was similar to that of the pathology-based prediction of PFS (AUC of 0.785 and 0.837). Combined with clinical predictors, the performance of the imaging-based survival model for 1- and 3-year PFS (AUC 0.813 and 0.921) was similar to that of the pathology-based survival model (AUC 0.839 and 0.889). Conclusion: Imaging-based survival stratification according to the 2021 WHO classification demonstrated a performance similar to that of pathology-based survival stratification, especially in predicting PFS.

Recurrence and Metastasis of Lung Cancer Demonstrate Decreased Diffusion on Diffusion-Weighted Magnetic Resonance Imaging

  • Usuda, Katsuo;Sagawa, Motoyasu;Motomo, Nozomu;Ueno, Masakatsu;Tanaka, Makoto;Machida, Yuichiro;Maeda, Sumiko;Matoba, Munetaka;Tonami, Hisao;Ueda, Yoshimichi;Sakuma, Tsutomu
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권16호
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    • pp.6843-6848
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    • 2014
  • Background: Diffusion-weighted magnetic resonance imaging (DWI) is reported to be useful for detecting malignant lesions. The purpose of this study is to clarify characteristics of imaging, detection rate and sensitivity of DWI for recurrence or metastasis of lung cancer. Methods: A total of 36 lung cancer patients with recurrence or metastasis were enrolled in this study. While 16 patients underwent magnetic resonance imaging (MRI), computed tomography (CT) and positron emission tomography-computed tomography (PET-CT), 17 underwent MRI and CT, and 3 underwent MRI and PET-CT. Results: Each recurrence or metastasis showed decreased diffusion, which was easily recognized in DWI. The detection rate for recurrence or metastasis was 100% (36/36) in DWI, 89% (17/19) in PET-CT and 82% (27/33) in CT. Detection rate of DWI was significantly higher than that of CT (p=0.0244) but not significantly higher than that of PET-CT (p=0.22). When the optimal cutoff value of the apparent diffusion coefficient value was set as $1.70{\times}10^{-3}mm^2/sec$, the sensitivity of DWI for diagnosing recurrence or metastasis of lung cancer was 95.6%. Conclusions: DWI is useful for detection of recurrence and metastasis of lung cancer.

Leiomyosarcoma of Urinary Bladder in a Yorkshire Terrier Dog

  • Mok, Jinsu;Park, Junghyun;An, Soyon;Kim, Ahreum;Han, Changhee;Hwang, Taesung;Lee, Hee Chun
    • 한국임상수의학회지
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    • 제37권2호
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    • pp.91-95
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    • 2020
  • A 13-year-old, intact male, Yorkshire terrier dog with oliguria and hematuria was presented to the Small Animal Clinic at the Gyeongsang National University animal medical center. There were no remarkable findings on serum chemistry values and complete blood counts. Abdominal radiographs revealed mild elevation of the descending colon at the pelvic level. On the excretory urographic images, a large filling defect was identified in urinary bladder with narrow urinary bladder wall contact and there were no remarkable findings in kidneys and ureters. The abdominal ultrasonography revealed that an irregularly marginated, heterogeneous mass in urinary bladder, central cavitary lesion and mild vascular flow were also observed. Computed tomography showed a heterogeneously attenuated mass within urinary bladder. The mass was surgically excised, and leiomyosarcoma was confirmed by histopathological examination. The patient was followed up for two months and there were no complications. This case is of interest because of the unusual findings of leiomyosarcoma of urinary bladder in a small breed dog.

Linked Color Imaging and Blue Laser Imaging for Upper Gastrointestinal Screening

  • Osawa, Hiroyuki;Miura, Yoshimasa;Takezawa, Takahito;Ino, Yuji;Khurelbaatar, Tsevelnorov;Sagara, Yuichi;Lefor, Alan Kawarai;Yamamoto, Hironori
    • Clinical Endoscopy
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    • 제51권6호
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    • pp.513-526
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    • 2018
  • White light imaging (WLI) may not reveal early upper gastrointestinal cancers. Linked color imaging (LCI) produces bright images in the distant view and is performed for the same screening indications as WLI. LCI and blue laser imaging (BLI) provide excellent visibility of gastric cancers in high color contrast with respect to the surrounding tissue. The characteristic purple and green color of metaplasias on LCI and BLI, respectively, serve to increase the contrast while visualizing gastric cancers regardless of a history of Helicobacter pylori eradication. LCI facilitates color-based recognition of early gastric cancers of all morphological types, including flat lesions or those in an H. pylori-negative normal background mucosa as well as the diagnosis of inflamed mucosae including erosions. LCI reveals changes in mucosal color before the appearance of morphological changes in various gastric lesions. BLI is superior to LCI in the detection of early esophageal cancers and abnormal findings of microstructure and microvasculature in close-up views of upper gastrointestinal cancers. Excellent images can also be obtained with transnasal endoscopy. Using a combination of these modalities allows one to obtain images useful for establishing a diagnosis. It is important to observe esophageal cancers (brown) using BLI and gastric cancers (orange) surrounded by intestinal metaplasia (purple) and duodenal cancers (orange) by LCI.

Imaging Diagnosis of Dilated Cardiomyopathy in a Maltese Dog

  • An, Soyon;Park, Junghyun;Mok, Jinsu;Kim, Areum;Han, Changhee;Song, Joong Hyun;Yu, Dohyeon;Hwang, Tae Sung;Lee, Hee-Chun
    • 한국임상수의학회지
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    • 제38권3호
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    • pp.163-168
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    • 2021
  • A 6-year-old, spayed female, Maltese dog with tachypnea and dry cough was presented to Gyeongsang National University Veterinary Medical Teaching hospital. On physical examination, its respiration rate was 132 per minute. Decreased partial pressure of oxygen, partial pressure of carbon dioxide, and hyperlactatemia were found on arterial blood gas analysis. Its diastolic blood pressure was 80 mmHg. Auscultation revealed arrhythmia. Electrocardiogram revealed P pulmonale, P mitrale, and ventricular premature complexes. Thoracic radiographs revealed mild enlargement of both atrium and moderate enlargement of the left ventricular. There was also a moderate alveolar pattern in the right and caudal part of the left cranial lung lobe. Two-dimensional echocardiography showed enlargement of generalized four chambers without remarkable findings of valvular degeneration. M-mode echocardiography showed decreased left ventricular fractional shortening and enlarged left ventricular internal diameter at both end-systolic and end-diastolic. Color-flow Doppler imaging revealed eccentric turbulent flow starting below the left ventricular outflow tract and extending into the left atrium during systole. Spectral Doppler recordings revealed a high velocity flow through the mitral, tricuspid, aorta, and pulmonic regurgitation. Restrictive transmitral flow revealed high E-wave velocity, short E-wave deceleration time, and reduced A-wave velocity. There was also low ejection velocity thorough left ventricular out tract flow. Based on echocardiographic examination, dilated cardiomyopathy was the tentative diagnosis. The dog was medicated with inotropes, angiotensin converting enzyme inhibitor, and diuretics. At the 10-day following-up, the dog died suddenly. This report describes echocardiographic diagnosis and prognosis of dilated cardiomyopathy rarely reported in small breed dogs.

Amyloid-Related Imaging Abnormalities in the Era of Anti-Amyloid Beta Monoclonal Antibodies for Alzheimer's Disease: Recent Updates on Clinical and Imaging Features and MRI Monitoring

  • So Yeong Jeong;Chong Hyun Suh;Sang Joon Kim;Cynthia Ann Lemere;Jae-Sung Lim;Jae-Hong Lee
    • Korean Journal of Radiology
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    • 제25권8호
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    • pp.726-741
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    • 2024
  • Recent advancements in Alzheimer's disease treatment have focused on the elimination of amyloid-beta (Aβ) plaque, a hallmark of the disease. Monoclonal antibodies such as lecanemab and donanemab can alter disease progression by binding to different forms of Aβ aggregates. However, these treatments raise concerns about adverse effects, particularly amyloid-related imaging abnormalities (ARIA). Careful assessment of safety, especially regarding ARIA, is crucial. ARIA results from treatment-related disruption of vascular integrity and increased vascular permeability, leading to the leakage of proteinaceous fluid (ARIA-E) and heme products (ARIA-H). ARIA-E indicates treatment-induced edema or sulcal effusion, while ARIA-H indicates treatment-induced microhemorrhage or superficial siderosis. The minimum recommended magnetic resonance imaging sequences for ARIA assessment are T2-FLAIR, T2* gradient echo (GRE), and diffusion-weighted imaging (DWI). T2-FLAIR and T2* GRE are necessary to detect ARIA-E and ARIA-H, respectively. DWI plays a role in differentiating ARIA-E from acute to subacute infarcts. Physicians, including radiologists, must be familiar with the imaging features of ARIA, the appropriate imaging protocol for the ARIA workup, and the reporting of findings in clinical practice. This review aims to describe the clinical and imaging features of ARIA and suggest points for the timely detection and monitoring of ARIA in clinical practice.

최근 자기공명 의료영상기기의 발전 (Recent Developments in Magnetic Resonance Imaging)

  • 조장희;노용만;정순철;박세혁;문치웅
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 춘계학술대회
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    • pp.9-15
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    • 1994
  • In last few decades, medical imaging techniques have been developed startling progress. Especially in MRI (Magnetic Resonance Imaging), many imaging techniques such as chemical shift imaging, flow imaging, diffusion and perfusion imaging, fast imaging, susceptibility imaging and functional imaging have been studied and many of them were well known as useful diagnostic instruments. In this paper, recently developing techniques, i.e., NMR microscopy, fringe field imaging and functional imaging will be presented.

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AI 의료영상 분석의 개요 및 연구 현황에 대한 고찰 (Artificial Intelligence Based Medical Imaging: An Overview)

  • 홍준용;박상현;정영진
    • 대한방사선기술학회지:방사선기술과학
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    • 제43권3호
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    • pp.195-208
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    • 2020
  • Artificial intelligence(AI) is a field of computer science that is defined as allowing computers to imitate human intellectual behavior, even though AI's performance is to imitate humans. It is grafted across software-based fields with the advantages of high accuracy and speed of processing that surpasses humans. Indeed, the AI based technology has become a key technology in the medical field that will lead the development of medical image analysis. Therefore, this article introduces and discusses the concept of deep learning-based medical imaging analysis using the principle of algorithms for convolutional neural network(CNN) and back propagation. The research cases application of the AI based medical imaging analysis is used to classify the various disease(such as chest disease, coronary artery disease, and cerebrovascular disease), and the performance estimation comparing between AI based medical imaging classifier and human experts.

Imaging Human Structures

  • Kim Byung-Tae;Choi Yong;Mun Joung Hwan;Lee Dae-Weon;Kim Sung Min
    • 대한의용생체공학회:의공학회지
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    • 제26권5호
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    • pp.283-294
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    • 2005
  • The Center for Imaging Human Structures (CIH) was established in December 2002 to develop new diagnostic imaging techniques and to make them available to the greater community of biomedical and clinical researchers at Sungkyunkwan University. CIH has been involved in 5 specific activities to provide solutions for early diagnosis and improved treatment of human diseases. The five area goals include: 1) development of a digital mammography system with computer aided diagnosis (CAD); 2) development of digital radiological imaging techniques; 3) development of unified medical solutions using 3D image fusion; 4) development of multi-purpose digital endoscopy; and, 5) evaluation of new imaging systems for clinical application

Molecular imaging of atherosclerosis using reporter gene system

  • Yoo, Ran Ji;Lee, Kyochul;Kang, Joo Hyun;Lee, Yong Jin
    • 대한방사성의약품학회지
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    • 제4권1호
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    • pp.26-31
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    • 2018
  • Macrophages play a key role in atherosclerotic plaque formation, but their participation has been discerned largely via ex vivo analyses of atherosclerotic lesions. Therefore, we aimed to identify atherosclerosis on noninvasive in vivo imaging using reporter gene system. This study demonstrated that recruitment of macrophages could be detected in atherosclerotic plaques of Apolipoprotein E knockout (ApoE-/-) mice with a sodium iodide symporter (NIS) gene imaging system using $^{99m}Tc-SPECT$. This novel approach to tracking macrophages to atherosclerotic plaques in vivo could have applications in studies of arteriosclerotic vascular disease.