• Korean Journal of Radiology
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• 제23권6호
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• pp.664-673
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• 2022

Objective: To evaluate the performance of baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping of the extraocular muscles (EOMs) in the prediction of treatment response to intravenous glucocorticoid (IVGC) therapy for active and moderate-to-severe thyroid-associated ophthalmopathy (TAO) and to investigate the effect of fat-suppression (FS) in T2 mapping in this prediction. Materials and Methods: A total of 79 patients clinically diagnosed with active, moderate-to-severe TAO (47 female, 32 male; mean age ± standard deviation, 46.1 ± 10 years), including 43 patients with a total of 86 orbits in the responsive group and 36 patients with a total of 72 orbits in the unresponsive group, were enrolled. Baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping with FS (i.e., FS T2 mapping) or without FS (i.e., conventional T2 mapping) of EOMs were compared between the two groups. Independent predictors of treatment response to IVGC were identified using multivariable analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the prediction models. Differences between the models were examined using the DeLong test. Results: Compared to the unresponsive group, the responsive group had a shorter disease duration, lower kurtosis (FS-kurtosis), lower standard deviation, larger 75th, 90th, and 95th (FS-95th) T2 relaxation times in FS mapping and lower kurtosis in conventional T2 mapping. Multivariable analysis revealed that disease duration, FS-95th percentile, and FS-kurtosis were independent predictors of treatment response. The combined model, integrating all identified predictors, had an optimized area under the ROC curve of 0.797, 88.4% sensitivity, and 62.5% specificity, which were significantly superior to those of the imaging model (p = 0.013). Conclusion: An integrated combination of disease duration, FS-95th percentile, and FS-kurtosis was a potential predictor of treatment response to IVGC in patients with active and moderate-to-severe TAO. FS T2 mapping was superior to conventional T2 mapping in terms of prediction.

• Korean Journal of Radiology
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• 제23권4호
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• pp.389-401
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• 2022

Objective: This study aimed to determine a factor for predicting suboptimal image quality of the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI in patients with extrahepatic bile duct (EHD) cancer before MRI examination. Materials and Methods: We retrospectively evaluated 259 patients (mean age ± standard deviation: 68.0 ± 8.3 years; 162 male and 97 female) with EHD cancer who underwent gadoxetic acid-enhanced MRI between 2011 and 2017. Patients were divided into a primary analysis set (n = 184) and a validation set (n = 75) based on the diagnosis date of January 2014. Two reviewers assigned the functional liver imaging score (FLIS) to reflect the HBP image quality. The FLIS consists of the sum of three HBP features, each scored on a 0-2 scale: liver parenchymal enhancement, biliary excretion, and signal intensity of the portal vein. Patients were classified into low-FLIS (0-3) or high-FLIS (4-6) groups. Multivariable analysis was performed to determine a predictor of low FLIS using serum biochemical and imaging parameters of cholestasis severity. The optimal cutoff value for predicting low FLIS was obtained using receiver operating characteristic analysis, and validation was performed. Results: Of the 259 patients, 140 (54.0%) and 119 (46.0%) were classified into the low-FLIS and high-FLIS groups, respectively. In the primary analysis set, total bilirubin was an independent factor associated with low FLIS (adjusted odds ratio per 1-mg/dL increase, 1.62; 95% confidence interval [CI], 1.32-1.98). The optimal cutoff value of total bilirubin for predicting low FLIS was 2.1 mg/dL with a sensitivity of 95.1% (95% CI: 88.9-98.4) and a specificity of 89.0% (95% CI: 80.2-94.9). In the validation set, the total bilirubin cutoff showed a sensitivity of 92.1% (95% CI: 78.6-98.3) and a specificity of 83.8% (95% CI: 68.0-93.8). Conclusion: Serum total bilirubin before acquisition of gadoxetic acid-enhanced MRI may help predict suboptimal HBP image quality in patients with EHD cancer.

• Korean Journal of Radiology
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• 제23권11호
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• pp.1078-1088
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• 2022

Objective: To develop and validate a model using radiomics features from apparent diffusion coefficient (ADC) map to diagnose local tumor recurrence in head and neck squamous cell carcinoma (HNSCC). Materials and Methods: This retrospective study included 285 patients (mean age ± standard deviation, 62 ± 12 years; 220 male, 77.2%), including 215 for training (n = 161) and internal validation (n = 54) and 70 others for external validation, with newly developed contrast-enhancing lesions at the primary cancer site on the surveillance MRI following definitive treatment of HNSCC between January 2014 and October 2019. Of the 215 and 70 patients, 127 and 34, respectively, had local tumor recurrence. Radiomics models using radiomics scores were created separately for T2-weighted imaging (T2WI), contrast-enhanced T1-weighted imaging (CE-T1WI), and ADC maps using non-zero coefficients from the least absolute shrinkage and selection operator in the training set. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of each radiomics score and known clinical parameter (age, sex, and clinical stage) in the internal and external validation sets. Results: Five radiomics features from T2WI, six from CE-T1WI, and nine from ADC maps were selected and used to develop the respective radiomics models. The area under ROC curve (AUROC) of ADC radiomics score was 0.76 (95% confidence interval [CI], 0.62-0.89) and 0.77 (95% CI, 0.65-0.88) in the internal and external validation sets, respectively. These were significantly higher than the AUROC values of T2WI (0.53 [95% CI, 0.40-0.67], p = 0.006), CE-T1WI (0.53 [95% CI, 0.40-0.67], p = 0.012), and clinical parameters (0.53 [95% CI, 0.39-0.67], p = 0.021) in the external validation set. Conclusion: The radiomics model using ADC maps exhibited higher diagnostic performance than those of the radiomics models using T2WI or CE-T1WI and clinical parameters in the diagnosis of local tumor recurrence in HNSCC following definitive treatment.

• 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 [D_f], slow diffusion coefficient [D_s], 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, D_s, 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 D_f 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.

• 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.

• 대한유전성대사질환학회지
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• 제24권1호
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• pp.1-9
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• 2024

MELAS 증후군은 다양한 임상 증상을 나타내는 복잡하고 다면적인 미토콘드리아 질환으로, 반복적인 뇌졸중 유사 에피소드, 발작, 당뇨병, 심근병증 등을 포함한다. 이러한 증상들은 뇌, 심장, 근육과 같은 대사적으로 활발한 조직에 미토콘드리아 기능 장애가 미치는 심각한 영향을 반영한다. 현재의 치료는 이러한 증상을 완화하고 미토콘드리아 기능을 개선하는 데 중점을 두고 있으며, 증상 치료, 고용량 비타민 요법 및 고용량 타우린 보충과 같은 혁신적인 접근 방식을 포함한다. 유전자 치료 및 미토콘드리아 표적 약물 분야의 새로운 치료법은 근본적인 유전자 돌연변이를 해결하고 미토콘드리아 건강을 향상시킬 수 있는 유망한 새로운 길을 제공한다. MELAS에 대한 이해가 계속 깊어짐에 따라, 유전자 검사 및 치료적 개입의 발전은 환자의 결과를 크게 개선할 가능성을 갖고 있다. MELAS 치료의 미래는 낙관적이며, 진행 중인 연구는 더 효과적이고 표적화된 치료법을 위한 길을 열어 이 질환의 부담을 줄이고 영향을 받는 개인들의 삶의 질을 향상시키는 것을 목표로 하고 있다.

• Korean Journal of Radiology
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• 제25권9호
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• pp.788-797
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• 2024

Objective: To investigate the potential association among preoperative breast MRI features, axillary nodal burden (ANB), and disease-free survival (DFS) in patients with early-stage breast cancer. Materials and Methods: We retrospectively reviewed 297 patients with early-stage breast cancer (cT1-2N0M0) who underwent preoperative MRI between December 2016 and December 2018. Based on the number of positive axillary lymph nodes (LNs) determined by postoperative pathology, the patients were divided into high nodal burden (HNB; ≥3 positive LNs) and non-HNB (<3 positive LNs) groups. Univariable and multivariable logistic regression analyses were performed to identify independent risk factors associated with ANB. Predictive efficacy was evaluated using the receiver operating characteristic (ROC) curve and area under the curve (AUC). Univariable and multivariable Cox proportional hazards regression analyses were performed to determine preoperative features associated with DFS. Results: We included 47 and 250 patients in the HNB and non-HNB groups, respectively. Multivariable logistic regression analysis revealed that multifocality/multicentricity (adjusted odds ratio [OR] = 3.905, 95% confidence interval [CI]: 1.685-9.051, P = 0.001) and peritumoral edema (adjusted OR = 3.734, 95% CI: 1.644-8.479, P = 0.002) were independent risk factors for HNB. Combined peritumoral edema and ultifocality/multicentricity achieved an AUC of 0.760 (95% CI: 0.707-0.807) for predicting HNB, with a sensitivity and specificity of 83.0% and 63.2%, respectively. During the median follow-up period of 45 months (range, 5-61 months), 26 cases (8.75%) of breast cancer recurrence were observed. Multivariable Cox proportional hazards regression analysis indicated that younger age (adjusted hazard ratio [HR] = 3.166, 95% CI: 1.200-8.352, P = 0.021), larger tumor size (adjusted HR = 4.370, 95% CI: 1.671-11.428, P = 0.002), and multifocality/multicentricity (adjusted HR = 5.059, 95% CI: 2.166-11.818, P < 0.001) were independently associated with DFS. Conclusion: Preoperative breast MRI features may be associated with ANB and DFS in patients with early-stage breast cancer.

• Investigative Magnetic Resonance Imaging
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• 제6권1호
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• pp.47-54
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• 2002

목적 해마의 위축(hippocampal atrophy)은 해마경화증(hippocampal sclerosis)의 가장 특징적인 병리학적 소견의 하나로서, 이의 진단하기 위하여 해마의 자기공명(MR) 영상이 필수적이다. 본 연구에서는 정상성인과 해마경화증 환자에서 해마에 대한 MR부피를 측정하여 해마 경화증의 진단기준을 제시하고자 하였다. 대상 및 방법 신경학적으로 정상이며 MR 영상에서 뇌실질부위에 이상소견이 없는 정상 성인 30명 (20-46세 , 남자 16명, 여자 14명)을 대상으로 하여 양측해마의 부피를 측정하고 그 분포를 구하였다. 또한 측두엽 간질환자로서 최종진단이 해마경화증으로 판정된 28명의 환자(9-55세, 남자 14명, 여자 14명)를 대상으로 하여 해마부피를 측정한 후 각각의 좌우 차를 구하고 정상분포와 비교하였다. 결과 : 한국성인의 해마의 정상부피의 평균치와 표준편차는 남자가 우측 $2.20{\pm}0.73\textrm{cm}^3$, 좌측 $2.17{\pm}0.72$ $\textrm{cm}^3$ 좌우 차 $0.14{\pm}0.11\textrm{cm}^3이었고$, 여자가 우측이 $2.27{\pm}0.47\textrm{cm}^3$, 좌측이 $2.23{\pm}0.48$ 서울대학교 의과대학 방사선과학교실 좌우 차 $0.19{\pm}0.13\textrm{cm}^3이었다.$ 좌우와 남녀간에 통계학적으로 유의한 차이는 얼었다. 해마경화증 환자에서의 해마의 부피는 전체 해마경화증 환자 군에서 평균과 표준 편차가 $1.46{\pm}0.60\textrm{cm}^3$, 좌우 차 $0.51{\pm}0.41\textrm{cm}^3$ 였으며, 우측 해마경화증 환자 군에서 평균이 $139{\pm}0.58$, $\textrm{cm}^3$, 좌우 차 $0.38{\pm}0.27\textrm{cm}^3$, 좌측 해마경화증 환자 군에서 평균이 $1.56{\pm}0.65\textrm{cm}^3$, 좌우 차 $0.71{\pm}0.52\textrm{cm}^3$ 였다. 해마경화증 환자군과 정상성인군의 부피의 절대치와 좌우 부피 차의 분포를 비교해 본 결과 해마부피분포는 정상 성인군과 해마경화증 환자군 사이에 많은 경우에서 절대치가 중첩되어 해마부피분포의 절대치는 진단기준으로서 유용하지 않았다. 좌우 부피 차 0.4 $\textrm{cm}^3$ 이상을 해마위축의 기준으로 할 때 MR-based volumetry 만의 민감도와 특이도는 각각 0.61, 0.90로 좌우 부피 차 $0.4{\;}\textrm{cm}^3$ 이상이 적절한 진단기준으로 생각되었다. $0.4{\;}\textrm{cm}^3$ 이상의 좌우 부피차를 보이는 모든 증례에서 육안적으로도 해마위축이 뚜렷이 나타났다. 결론 : MR영상을 이용한 해마의 부피측정은 해마경화증 환자의 진단에 있어 육안적인 MR 진단이 어려운 제한된 경우에만 실제적 도움을 줄 수 있는 보조적인 방법으로 생각된다.

• Investigative Magnetic Resonance Imaging
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• 제3권2호
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• pp.146-153
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• 1999

목적 : 초기 및 지연기 허혈성 뇌경색에서 양자자기공명분광법 (proteon MR-spectroscopy)을 시행하여 특징적인 소견을 알알아보고 임상적 증상과 비교하고자 하였다. 대상 및 방법 : 초기 허혈성 뇌경색으로 진단 받은 28명 (37-83세, 남자 15명, 여자 13명)의 환자를 대상으로 발병 후 2-10일 (평균 6.2일)에 단일 복셀 양자자기공명분광법을 시행하였다. 12명에서는 지연기에 추적 양자자기공명분광법을 시행하였고 그 시기는 20-32일 (평균 25일) 이었다. 자기공명분광법은 1.5 T장치에서 PRESS(Point Resolved Spectroscopic Sequence)기법으로 TR 2000ms, TE 288 (144)ms, 관심 영역 $2cm{\times}2cm{\times}2cm$ 화소를 사용하였다. 결과 분석은 병소와 병소에 인접한 정상으로 보이는 부위, 그리고 병소의 반대편 정 상부위에서 N-acetylaspartate (NAA)/ creatine, choline/creatine 및 lactate/creatine 비를 구하여 초기와 지연기의 스펙트럼을 비교 분석하였다. 또한 스펙트럼 양상이 환자의 신경학 적 증세와 어떤 관계가 있는 지 분석하였다. 결과 : 초기에 얻은 자기공명분광법에서는 병소의 NAA/creatine 비가 다양한 정도의 감소를 보 였고 (n=22), 정상인 경우도 있었다 (n=6). lactate/creatine 비는 고도의 증가 (n=25), 혹은 약간의 증가 (n=3)를 보인 반면, choline/creatine 비는 대부분 정상 범위이었다. 지연기 추적 자기공명분광법에서는 초기기에 비해 NAA/creatine 비는 5예에서 감소를, 1예에서 증가를, 6예에서는 변화를 보이지 않았다. lactate/creatine 비는 10예에서 감소를 보였으며, 2예에서 변화를 보이지 않았다. Choline/creatine 비는 약간 증가히는 경향을 보였다. 병소의 lactate/creatine 비는 환자의 증상이 섬할 경우 증가하는 양상을 보였다, NAA/creatine 비는 lactate/creatine 비와는 상관관계를 보이지 않았지만 NAA/creatine 비가 낮을수록 임상증상이 심했다. 결론 : NAA/ creatine 비의 감소, lactate/creatine 비의 증가는 초기 허혈성 뇌경색의 공통적 소견이었으며 , 이들은 임상증세와 유의한 상관관계를 보였다. 지연기에는 NAA/creatine 비와 lactate/creatine 비가 초기에 비하여 감소하거나 유의한 변화를 보이지 않았다.

• Investigative Magnetic Resonance Imaging
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• 제18권2호
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• pp.120-132
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• 2014

목적: 원발성 뇌종양환자에서 방사선 치료 후 추적 자기공명영상에서 새로 생긴 조영증강 뇌병변에 대해 종양재발과 지연성 방사선치료연관변화의 감별에 있어서 확산강조영상 (DWI), 역동적조영관류영상 (DSC PWI), 자화율강조영상 (SWI)의 진단적 가치를 서로 비교하고자 한다. 대상과 방법: 원발성 뇌종양으로 이전에 방사선치료를 받았던 환자 중, 방사선치료 종료 최소 1년 이후에 추적 자기공명영상에서 새롭게 조영증강 되는 병변을 가진 24명의 환자를 대상으로 연구하였다. 새롭게 조영증강 되는 병변은 14명의 종양재발과 10명의 방사선치료연관변화로 확인되었다. 종양재발과 방사선치료연관변화 두 환자 군의 여러변수들은 비대응표본 t 검정을 실시하여 비교 분석하였다. 다중변수 로지스틱 회귀 분석을 이용하여 DWI, DSC PWI, SWI 각 영상의 정량 분석을 통해 얻은 apparent diffusion coefficient (ADC), normalized cerebral blood volume (nCBV), proportion of dark signal intensity (proSWI) 값 중 두 군을 감별해 내는 최상의 예측 변수 (best predictor)를 정하였다. 이후 수신자 조작 특성 (Receiver operating characteristics, ROC) 분석을 통하여 best predictor의 정확도, 민감도, 특이도를 평가하였다. 결과: 방사선치료연관변화 군과 비교하여 종양재발 군에서 평균 nCBV 값이 유의하게 높았고 (P=.004), 평균 proSWI 값은 유의하게 낮았다 (P<.001). 반면, 평균 ADC 값은 두 군간에 유의한 차이를 보이지 않았다. 다중변수 로지스틱 회귀 분석 결과 proSWI 값만이 통계적으로 유의한, 감별 가능한 독립변수였으며, 민감도, 특이도, 정확도는 각각 78.6% (11 of 14), 100% (10 of 10), 87.5% (21 of 24) 였다. 결론: 뇌종양 환자에서 방사선치료 종료 최소 1년 이후에 새로 보이는 조영증강 병변의 감별에 있어 proSWI 값이 가장 중요한 변수인 것으로 나타났다.