• 제목/요약/키워드: magnetic diagnostic

검색결과 722건 처리시간 0.028초

거골 골연골병변 치료 동향: 대한족부족관절학회 회원 설문조사 분석 (Current Trends in the Treatment of Osteochondral Lesion of the Talus: Analysis of the Korean Foot and Ankle Society (KFAS) Member Survey)

  • 조병기;조재호;양기원;이동연;배서영;2021 대한족부족관절학회 학술위원회
    • 대한족부족관절학회지
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    • 제25권4호
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    • pp.149-156
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    • 2021
  • Purpose: Given the lack of definite evidence-based guidelines in clinical practice, there may be a wide variation in treatment protocols for osteochondral lesions of the talus (OLT). Based on the Korean Foot and Ankle Society (KFAS) member survey, this study aimed to report the current trends in the management of OLT. Materials and Methods: A web-based questionnaire containing 30 questions was sent to all KFAS members in September 2021. The questions were mainly related to clinical experience and preferences in diagnosis, conservative, and surgical treatments for patients with OLT. Answers with a prevalence of ≥50% of respondents were considered a tendency. Results: Sixty-two (11.3%) of the 550 surgeons queried responded to the survey. The responses to 9 (30.0%) of the total of 30 questions established a tendency. Answers exhibiting a tendency were as follows; additional diagnostic tools except for plain radiograph (magnetic resonance imaging), most common conservative treatment method (oral medication, rest), most important radiological factor in decision making for surgical treatment and method (size of the lesion, ankle instability, loose bodies), most important patient factors in decision making for surgical treatment and method (age, activity or occupation), infrequently requiring posterior arthroscopy (less than 3%), most common revision surgery for failed bone marrow stimulation procedure (osteochondral autograft transplantation [OAT]), not requiring additional procedure for donor site in OAT, the main reason for unsatisfactory result after OAT (persistent pain without radiological abnormality), no generalization of autologous chondrocyte implantation or chondrogenesis using stem cells. Conclusion: This study presents updated information on current trends in the management of OLT in Korea. Both consensus and variations in the approach to patients with OLT were revealed through this survey. Since recent biologic efforts to regenerate cartilage have been unsuccessful, further studies to identify clinical evidence would be needed.

Recanalization Rate and Clinical Outcomes of Intravenous Tissue Plasminogen Activator Administration for Large Vessel Occlusion Stroke Patients

  • Min-Hyung Lee;Sang-Hyuk Im;Kwang Wook Jo;Do-Sung Yoo
    • Journal of Korean Neurosurgical Society
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    • 제66권2호
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    • pp.144-154
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    • 2023
  • Objective : Stroke caused from large vessel occlusion (LVO) has emerged as the most common stroke subtype worldwide. Intravenous tissue plasminogen activator administration (IV-tPA) and additional intraarterial thrombectomy (IA-Tx) is regarded as standard treatment. In this study, the authors try to find the early recanalization rate of IV-tPA in LVO stroke patients. Methods : Total 300 patients undertook IA-Tx with confirmed anterior circulation LVO, were analyzed retrospectively. Brain computed tomography angiography (CTA) was the initial imaging study and acute stroke magnetic resonance angiography (MRA) followed after finished IV-tPA. Early recanalization rate was evaluated by acute stroke MRA within 2 hours after the IV-tPA. In 167 patients undertook IV-tPA only and 133 non-recanalized patients by IV-tPA, additional IA-Tx tried (IV-tPA + IA-Tx group). And 131 patients, non-recanalized by IV-tPA (IV-tPA group) additional IA-Tx recommend and tried according to the patient condition and compliance. Results : Early recanalization rate of LVO after IV-tPA was 12.0% (36/300). In recanalized patients, favorable outcome (modified Rankin Scale, 0-2) was 69.4% (25/36) while it was 32.1% (42/131, p<0.001) in non-recanalized patients. Among 133 patients, non-recanalized after intravenous recombinant tissue plasminogen activator and undertook additional IA-Tx, the clinical outcome was better than not undertaken additional IA-Tx (favorable outcome was 42.9% vs. 32.1%, p=0.046). Analysis according to the perfusion/diffusion (P/D)-mismatching or not, in patient with IV-tPA with IA-Tx (133 patients), favorable outcome was higher in P/D-mismatching patient (52/104; 50.0%) than P/D-matching patients (5/29; 17.2%; p=0.001). Which treatment tired, P/D-mismatching was favored in clinical outcome (iv-tPA only, p=0.008 and IV-tPA with IA-Tx, p=0.001). Conclusion : The P/D-mismatching influences on the recanalization and clinical outcomes of IV-tPA and IA-Tx. The authors would like to propose that we had better prepare IA-Tx when LVO is diagnosed on initial diagnostic imaging. Furthermore, if the patient shows P/D-mismatching on MRA after IV-tPA, additional IA-Tx improves treatment results and lessen the futile recanalization.

비타민 B 결핍에 의한 노인성 근감소증 (Elderly Sarcopenia and Vitamin B Deficiency: A Relationship?)

  • 권기상;장혜정;유선녕;안순철;권오유
    • 생명과학회지
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    • 제33권7호
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    • pp.574-585
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    • 2023
  • 노인들에서 근감소증은 의료-간호비용 증가의 주요 원인 중 하나가 되고 있다. 한국에서는 근감소증 예방 대책이 일반적으로 특정 질병이 없는 노인들을 대상으로 하지만, 요양원-요양병원에서 집단 거주하는 노인들의 근감소증 대책도 필요하다. 근감소증은 운동량 감소, 단백질 및 영양분(미네랄, 비타민 포함) 섭취 감소, 테스토스테론 및 성장호르몬 변화, 염증 등의 원인으로 발생한다. 분자 생물학적인 정확한 병태생리 기전의 이해가 요구된다. 근감소증은 골다공증, 낙상으로 인한 골절, 치매, 당뇨병, 심혈관 질환 등의 증상을 연결될 수 있다. 비타민 B 패밀리(B1-3, B5-7, B9 및 B12) 결핍을 근감소증 유발의 연구 대상으로 선택한 이유는 다음과 같다. 이는 비타민 B가 에너지 및 단백질 대사에 직접 관여하여 정상적인 신경 기능 유지에 필수적이다. 비타민 B 결핍은 신경-근육 질환, 신경성 질환으로 나타날 수 있으며, 노인성 근감소증과 병행하는 경우가 많다. 노인들은 적정치 이하의 비타민 B 패밀리 섭취, 흡수 장애 및 무식증 문제 등을 겪을 가능성이 높다. 초고령화 사회에서 elderly가 자립적으로 일상생활을 할 수 있는 'health lifetime'을 유지하는 것은 개인의 행복추구와 사회경제적 부담을 줄일수 있는 최고의 목표이다. 본 연구는 근감소증과 관련하여 노인들의 근육량 감소 및 근육 기능 저하를 조절하는 수용성 비타민 B 패밀리의 최신 정보를 제공한다. 또한, 비타민 B 패밀리를 통한 마이오카인에 의한 근감소증의 조절 가능성도 소개한다.

유방암 환자에서 액와부 림프절 전이를 시사하는 자기공명영상 소견 (MRI Findings Suggestive of Metastatic Axillary Lymph Nodes in Patients with Invasive Breast Cancer)

  • 김가은;김신영;고은영
    • 대한영상의학회지
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    • 제83권3호
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    • pp.620-631
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    • 2022
  • 목적 유방암 환자의 수술 전 자기공명영상에서 림프절 전이를 시사하는 소견들에 따른 진단 성적을 알아보고자 한다. 대상과 방법 수술 전 유방 자기공명영상을 촬영하고 유방암 수술을 시행한 192명의 환자를 후향적으로 분석하였다. 영상 소견에서 림프절의 크기와 장경/단경의 비율, 피질의 두께와 모양, 변연, 수질의 소실, 비대칭성, T2 강조영상에서의 신호강도, 이른 조영증강의 정도, 조영증강의 역학을 조사하였다. 수신자판단특성곡선 분석, 카이 분석과 t-검정, 맥니마 검정을 이용하여 통계분석을 시행하였다. 결과 단경의 증가, 피질의 불규칙한 모양과 피질 두께의 증가, 수질의 소실, 비대칭성, 피질의 불규칙한 변연 그리고 T2 강조영상에서의 낮은 신호강도는 전이를 시사하는 의미 있는 소견이었다. 이중 단경과 피질의 두께에 대해 수신자판단특성곡선 분석으로 각각 8.05 mm와 2.75 mm로 절단값을 얻었다. 2.75 mm 이상의 피질 두께, 피질의 불규칙한 모양은 맥니마 검정으로 다른 소견들과 비교할 때 민감도의 유의한 차이를 보였다. 피질의 불규칙한 변연(100%)은 가장 높은 특이도를 보였다. 결론 유방 자기공명영상의 전이 림프절 분석에서 2.75 mm 이상의 피질 두께와 피질의 불규칙한 모양은 다른 소견들보다 높은 민감도를 보이고 피질의 불규칙한 변연은 가장 높은 특이도를 보이는 소견이다.

Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study

  • Dong Hyun Kim;Jiwoon Seo;Ji Hyun Lee;Eun-Tae Jeon;DongYoung Jeong;Hee Dong Chae;Eugene Lee;Ji Hee Kang;Yoon-Hee Choi;Hyo Jin Kim;Jee Won Chai
    • Korean Journal of Radiology
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    • 제25권4호
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    • pp.363-373
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    • 2024
  • Objective: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. Materials and Methods: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. Results: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. Conclusion: The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.

상안정맥 확장 및 시력 저하를 보인 중심정맥협착: 해면경막 동정맥루로 오인된 증례 보고 (Dilatation of Superior Ophthalmic Vein and Visual Disturbance by Central Venous Stenosis: A Case Mimicking Cavernous Sinus Dural Arteriovenous Fistula)

  • 전영훈;이경식;최치훈;김육;박영태
    • 대한영상의학회지
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    • 제82권6호
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    • pp.1619-1627
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    • 2021
  • 투석 환자에서 중심정맥협착은 비교적 흔한 합병증이나, 이로 인한 경정맥역류 및 두개내압 상승은 드물며, 진행성 시력 저하를 보이는 경우는 몇 개의 증례만 보고되고 있다. 저자들은 경정맥역류로 인한 두개내압 상승, 시력 저하 그리고 뇌 MRI에서의 상안정맥 확장에 대해 해면경막 동정맥루로 오인하였던 증례를 보고하고자 한다. 환자는 time-of-flight MR angiography (이하 TOF-MRA)에서 경정맥역류 소견이 있었고, 혈관조영술에서 좌측 완두정맥의 협착이 확인되었다. 중심정맥협착에 대해 풍선혈관성형술을 시행하였고 증상이 호전되어 퇴원하였다. 중심정맥협착에 의한 경정맥역류와 해면경막 동정맥루는 유사한 증상을 보일 수 있으나 치료법이 다르므로, MRI와 TOF-MRA의 면밀한 검토를 토대로 영상의학적으로 감별하는 것이 중요하며, 뇌혈관조영술을 통해 중심정맥협착 유무를 확인하는 것이 필요하다.

Brain Metabolic Network Redistribution in Patients with White Matter Hyperintensities on MRI Analyzed with an Individualized Index Derived from 18F-FDG-PET/MRI

  • Jie Ma;Xu-Yun Hua;Mou-Xiong Zheng;Jia-Jia Wu;Bei-Bei Huo;Xiang-Xin Xing;Xin Gao;Han Zhang;Jian-Guang Xu
    • Korean Journal of Radiology
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    • 제23권10호
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    • pp.986-997
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    • 2022
  • Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent 18F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUVmean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10-3 and (0.0967 ± 0.0545) × 10-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUVmean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

Usefulness of Silent MRA for Evaluation of Aneurysm after Stent-Assisted Coil Embolization

  • You Na Kim;Jin Wook Choi;Yong Cheol Lim;Jihye Song;Ji Hyun Park;Woo Sang Jung
    • Korean Journal of Radiology
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    • 제23권2호
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    • pp.246-255
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    • 2022
  • Objective: To determine the usefulness of Silent MR angiography (MRA) for evaluating intracranial aneurysms treated with stent-assisted coil embolization. Materials and Methods: Ninety-nine patients (101 aneurysms) treated with stent-assisted coil embolization (Neuroform atlas, 71 cases; Enterprise, 17; LVIS Jr, 9; and Solitaire AB, 4 cases) underwent time-of-flight (TOF) MRA and Silent MRA in the same session using a 3T MRI system within 24 hours of embolization. Two radiologists independently interpreted both MRA images retrospectively and rated the image quality using a 5-point Likert scale. The image quality and diagnostic accuracy of the two modalities in the detection of aneurysm occlusion were further compared based on the stent design and the site of aneurysm. Results: The average image quality scores of the Silent MRA and TOF MRA were 4.38 ± 0.83 and 2.78 ± 1.04, respectively (p < 0.001), with an almost perfect interobserver agreement. Silent MRA had a significantly higher image quality score than TOF MRA at the distal internal carotid artery (n = 57, 4.25 ± 0.91 vs. 3.05 ± 1.16, p < 0.001), middle cerebral artery (n = 21, 4.57 ± 0.75 vs. 2.19 ± 0.68, p < 0.001), anterior cerebral artery (n = 13, 4.54 ± 0.66 vs. 2.46 ± 0.66, p < 0.001), and posterior circulation artery (n = 10, 4.50 ± 0.71 vs. 2.90 ± 0.74, p = 0.013). Silent MRA had superior image quality score to TOF MRA in the stented arteries when using Neuroform atlas (4.66 ± 0.53 vs. 3.21 ± 0.84, p < 0.001), Enterprise (3.29 ± 1.59 vs. 1.59 ± 0.51, p = 0.003), LVIS Jr (4.33 ± 1.89 vs. 1.89 ± 0.78, p = 0.033), and Solitaire AB stents (4.00 ± 2.25 vs. 2.25 ± 0.96, p = 0.356). The interpretation of the status of aneurysm occlusion exhibited significantly higher sensitivity with Silent MRA than with TOF MRA when using the Neuroform Atlas stent (96.4% vs. 14.3%, respectively, p < 0.001) and LVIS Jr stent (100% vs. 20%, respectively, p = 0.046). Conclusion: Silent MRA can be useful to evaluate aneurysms treated with stent-assisted coil embolization, regardless of the aneurysm location and type of stent used.

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

  • Jianjian Zhang;Shiteng Suo;Guiqin Liu;Shan Zhang;Zizhou Zhao;Jianrong Xu;Guangyu Wu
    • Korean Journal of Radiology
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    • 제20권5호
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    • pp.791-800
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    • 2019
  • Objective: To compare various models of diffusion-weighted imaging including monoexponential apparent diffusion coefficient (ADC), biexponential (fast diffusion coefficient [Df], slow diffusion coefficient [Ds], and fraction of fast diffusion), stretched-exponential (distributed diffusion coefficient and anomalous exponent term [α]), and kurtosis (mean diffusivity and mean kurtosis [MK]) models in the differentiation of renal solid masses. Materials and Methods: A total of 81 patients (56 men and 25 women; mean age, 57 years; age range, 30-69 years) with 18 benign and 63 malignant lesions were imaged using 3T diffusion-weighted MRI. Diffusion model selection was investigated in each lesion using the Akaike information criteria. Mann-Whitney U test and receiver operating characteristic (ROC) analysis were used for statistical evaluations. Results: Goodness-of-fit analysis showed that the stretched-exponential model had the highest voxel percentages in benign and malignant lesions (90.7% and 51.4%, respectively). ADC, Ds, and MK showed significant differences between benign and malignant lesions (p < 0.05) and between low- and high-grade clear cell renal cell carcinoma (ccRCC) (p < 0.05). α was significantly lower in the benign group than in the malignant group (p < 0.05). All diffusion measures showed significant differences between ccRCC and non-ccRCC (p < 0.05) except Df and α (p = 0.143 and 0.112, respectively). α showed the highest diagnostic accuracy in differentiating benign and malignant lesions with an area under the ROC curve of 0.923, but none of the parameters from these advanced models revealed significantly better performance over ADC in discriminating subtypes or grades of renal cell carcinoma (RCC) (p > 0.05). Conclusion: Compared with conventional diffusion parameters, α may provide additional information for differentiating benign and malignant renal masses, while ADC remains the most valuable parameter for differentiation of RCC subtypes and for ccRCC grading.

Prediction Model for unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning

  • Shengli Li;Jianan Zhang;Xiaoqun Hou;Yongyi Wang;Tong Li;Zhiming Xu;Feng Chen;Yong Zhou;Weimin Wang;Mingxing Liu
    • Journal of Korean Neurosurgical Society
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    • 제67권1호
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    • pp.94-102
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    • 2024
  • Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.