• 대한영상의학회지
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• 제84권6호
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• pp.1266-1289
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• 2023

악성 림프종은 역동적 조영증강 컴퓨터단층촬영에서 전형적으로 커진 림프절 이 균일한 조영증강을 보이며 내부에 괴사 및 낭성 병변을 보이지 않는 영상 소견을 보이며, 이를 통해 침습적인 진단 검사 없이도 의심할 수 있다. 그러나 일부 림프종은 비전형적인 영상 소견을 보여 영상의학과 의사가 진단하는데 어려움을 겪는다. 더욱이, 실제 임상 현장에서는 백혈병, 면역저하자의 바이러스 감염, 원발암 및 전이암들이 림프종과 유사하게 보여 감별진단하는데 어려움이 있다. 초기에 영상검사로 악성 림프종과 이러한 유사질환을 구별하는것은 적절한 치료방침을 결정하는데 중요하다. 따라서, 본 임상 화보의 목표는 림프종의 전형적, 비전형적 영상 소견과 림프종을 모방하는 병변들의 영상 소견을 보여주며, 감별 진단을 좁히는데 도움이 되는 중요한 소견들을 논의하고자 한다.

• Korean Journal of Radiology
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• 제25권9호
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• pp.833-842
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• 2024

Objective: To assess the effect of a new lung enhancement filter combined with deep learning image reconstruction (DLIR) algorithm on image quality and ground-glass nodule (GGN) sharpness compared to hybrid iterative reconstruction or DLIR alone. Materials and Methods: Five artificial spherical GGNs with various densities (-250, -350, -450, -550, and -630 Hounsfield units) and 10 mm in diameter were placed in a thorax anthropomorphic phantom. Four scans at four different radiation dose levels were performed using a 256-slice CT (Revolution Apex CT, GE Healthcare). Each scan was reconstructed using three different reconstruction algorithms: adaptive statistical iterative reconstruction-V at a level of 50% (AR50), Truefidelity (TF), which is a DLIR method, and TF with a lung enhancement filter (TF + Lu). Thus, 12 sets of reconstructed images were obtained and analyzed. Image noise, signal-to-noise ratio, and contrast-to-noise ratio were compared among the three reconstruction algorithms. Nodule sharpness was compared among the three reconstruction algorithms using the full-width at half-maximum value. Furthermore, subjective image quality analysis was performed. Results: AR50 demonstrated the highest level of noise, which was decreased by using TF + Lu and TF alone (P = 0.001). TF + Lu significantly improved nodule sharpness at all radiation doses compared to TF alone (P = 0.001). The nodule sharpness of TF + Lu was similar to that of AR50. Using TF alone resulted in the lowest nodule sharpness. Conclusion: Adding a lung enhancement filter to DLIR (TF + Lu) significantly improved the nodule sharpness compared to DLIR alone (TF). TF + Lu can be an effective reconstruction technique to enhance image quality and GGN evaluation in ultralow-dose chest CT scans.

• Tuberculosis and Respiratory Diseases
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• 제59권5호
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• pp.473-479
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• 2005

연구배경 : 폐색전증은 비특이적인 증상과 징후로 인해 진단이 지연될 수 있고 이로 인해 치명적인 결과를 가져 올 수 있으나 정확한 진단과 적절한 치료를 시행하는 경우 재발 및 사망의 경우가 흔치 않다. 폐색전증과 관련되어 나타나는 예방 가능한 사망의 대부분은 치료실패 보다는 진단이 지연되는 경우에서 기인하므로 보다 정확하고 빠른 검사법을 요구하게 되었다. 나선형 흉부 전산화 단층촬영은 혈전을 직접 관찰할 수 있고 이외의 부가적 진단이 가능하며 최근 multidetector-row spiral CT의 도입으로 중심 및 말초의 혈전도 더 정확한 진단이 가능해져 나선형 흉부 전산화 단층촬영술이 진단에 어느 정도의 신뢰성을 보이는지 비교, 연구하였다. 방 법 : 2002년 9월부터 2004년 9월까지 임상적 소견 및 나선형 흉부 전산화 단층촬영을 통해 폐색전증을 의심하거나 진단하였던 환자 64명을 대상으로 하였다. 진단시의 임상적 소견은 Wells 등의 "Rules for predicting the probability of embolism"을 기준으로 하여 평가하였다. 진단 당시 시행한 나선형 흉부 전산화 단층촬영 소견은 2명의 흉부 방사선과 의사가 독립적이고 맹검의 방식으로 각 병변의 해부학적 위치 및 진단적 근거에 대해 재판독을 시행하였다. 결 과 : 임상적 가능성에 대한 총 점수의 평균값은 $3.91{\pm}0.30$ (0-9)였고 저확률군은 9례, 중등도 확률군은 36례, 고확률군은 5례 였다. 관찰자간의 일치율은 주폐동맥에서 95.0%, 엽폐동맥에서 85.0%, 분절 폐동맥에서 91.2% 및 아분절 폐동맥에서 96.0%를 보였다. 두 관찰자 모두에서 음성소견을 보인 분지를 제외한 후의 일치율은 주폐동맥에서 76.2% (kappa 0.83), 엽폐동맥에서 57.6% (kappa 0.63), 분절 폐동맥에서 51.5% (kappa 0.63) 및 아분절 폐동맥에서 34.6% (kappa 0.49)를 보였다. 결 론 : 폐색전증이 의심되는 경우 진단에 일차적으로 이용되고 있는 나선형 흉부 전산화 단층촬영은 주폐동맥, 엽폐동맥 및 분절 폐동맥에서 관찰자간의 일치율이 높아 신뢰할 수 있는 검사법으로 비교적 신속하고 정확하나 아분절 폐동맥 이하의 작은 폐동맥은 진단적 오차가 커질 수 있다.

• 한국의학물리학회지:의학물리
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• 제22권4호
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• pp.184-189
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• 2011

본 연구는 뇌동맥류로 진단받은 환자 중 디지털 감산 혈관조영술(DSA)과 다중검출기 전산화단층촬영 혈관조영술(MDCT Angiography)의 영상을 비교하여 MDCT 혈관조영술에 대한 뇌동맥류의 선별검사로써 그 유영성을 평가하고자 하였다. 이를 위해 대학병원에서 DSA을 시행한 후 뇌동맥류로 진단 받은 환자 중 MDCT 혈관조영술을 함께 시행한 194명의 환자를 대상으로 DSA과 MDCT 혈관조영 장치의 영상에서 뇌동맥류의 유무를 분석하였고, 동맥류의 길이를 경부의 크기로 나누어 1보다 크면 경부가 좁은 협경 동맥류, 1보다 작으면 경부가 넓은 광경 동맥류로 분류하여 협경, 혹은 광경 동맥류인지 비교 분석하였다. 본 연구 결과 DSA과 비교한 MDCT 혈관조영술의 뇌동맥류에 대한 민감도는 97.4%로 분석되었고, 협경 혹은 광경 동맥류의 일치도는 90.2%, MDCT 혈관조영술에서 뇌동맥류를 발견하지 못한 경우가 2.5%로 경부의 평균 크기는 2.4 mm였다. 이를 통해 뇌동맥류 선별검사를 위하여 비침습적인 MDCT 혈관조영술은 침습적인 DSA에 비하여 높은 민감도를 보여 매우 유용한 검사로 기대된다.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제41권
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• pp.12.1-12.5
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• 2019

Background: Le Fort I osteotomy is one of the surgical procedures now routinely and safely performed. It is possible to move the maxilla in three dimensions, but it is necessary to separate the bones around the maxillary sinus. Therefore, with surgery, maxillary sinus mucosal thickening occurs. By knowing the changes in the sinus mucosa after surgery and the factors affecting it, it is possible to better predict the outcomes of surgery and contribute to safer surgery. In this study, thickening of maxillary sinus mucosa before and after surgery in Le Fort I osteotomy was evaluated using multidetector-row computed tomography (MDCT) images, and the changes in mucosal thickening and the related factors were examined. Methods: Using MDCT images, the maxillary sinus mucosa of 125 patients who had undergone Le Fort I osteotomy was retrospectively evaluated before surgery, 1 month after surgery, and 1 year after surgery. On the MDCT images, the maxillary sinus was judged as mucosal thickening and classified into three grades according to the proportion occupying the maxillary sinus. In the evaluation of factors related to mucosal thickening, the following eight factors were examined: sex, age, diagnosis, operating time, amount of postoperative bleeding, with/without bone graft, with/without multisegmental osteotomy, and with/without macrolide therapy after surgery. Results: The mean age at the time of surgery was 25.6 ± 8 years. Of all 125 patients, 66 had bilateral thickening, 19 had unilateral thickening, and 40 had no thickening. Factors that were significantly related to mucosal thickening were the operative time for the maxilla, bone grafts, and macrolide therapy after surgery. Conclusions: Operative time for the maxilla, bone grafts, and macrolide therapy after surgery were found to be related to mucosal thickening. In addition, MDCT scanning 1 month after surgery was considered to be appropriate for evaluation of maxillary sinus mucosal thickening.

• Tuberculosis and Respiratory Diseases
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• 제80권3호
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• pp.284-290
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• 2017

Background: We aimed to analyze the factors predicting the diagnostic performance of flexible bronchoscopy without guidance in peripheral lung lesions that are endoscopically invisible. Methods: This was a retrospective study conducted in St. Paul's Hospital, The Catholic University of Korea, between January 2007 and March 2013. We included all patients who received bronchoscopy during this period. The analyzed variables were age, sex, the etiology of the lesion, lesion size, distance from the pleura, and presence of the bronchus sign. We used multiple logistic regression analysis to identify the significant independent factors associated with diagnostic yield. Results: We included 151 patients in this study. The overall diagnostic yield was 58.3%. The sensitivity was 43.2% for malignant disease and 78.1% for benign disease. The benign lung lesions (p<0.001), lesion size (p=0.015), presence of the exposed type of bronchus sign (p<0.001), and presence of cavitary lung lesions (p=0.005) were factors influencing the yield of flexible bronchoscopy by univariate analysis. In a multivariate logistic regression analysis, the exposed type of bronchus sign and benign lung lesions were independent predicting factors (odds ratio [OR]: 27.95; 95% confidence interval [CI], 7.56-103.32; p<0.001 and OR, 4.91; 95% CI, 1.76-13.72; p=0.002). Conclusion: The presence of the exposed type of bronchus sign and benign lung lesions are determining factors of the diagnostic yield in flexible bronchoscopy in evaluating peripheral lesions that are not endoscopically visible.

• 한국화재소방학회논문지
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• 제27권5호
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• pp.75-79
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• 2013

임신부의 경우 심폐소생술동안 좌측 기울림을 적용하도록 권장하고 있다. 하지만, 이 좌측으로 기울리면 임신부의 자궁 뿐만이 아니라 좌심실도 좌측으로 편위되어 심폐소생술의 심장펌프기능이 떨어질 가능성이 있다. 이에 좌측 기울림이 심폐소생술동안 흉골 운동 방향을 대변하는 전후축과 좌심실의 공간적 관계에 미치는 영향을 알아보고자 하였다. 컴퓨터 단층촬영을 이용한 가상내시경검사를 받은 90명의 환자를 대상으로 의무기록과 컴퓨터단층촬영결과를 후향적으로 조사하였다. 가상내시경은 앙와위와 좌측 기울림 위치 모두에서 실시되었다. 좌심실 단면적이 가장 넓은 축면에서 전후축과 좌심실축사이의 각도($Angle_{AP-LV}$), 전후축과 좌심실 중앙사이 최단거리($D_{AP-MidLV}$), 및 전후축과 좌심실첨부사이 최단거리($D_{AP-Apex}$)를 측정하였다. 대상환자 중 87명(96.7%)에서는 앙와위에서 좌심실이 전후축의 좌측에 위치하였다. 좌측으로 기울인 영상에서의 기울림 각도는 $43.4{\pm}11.0^{\circ}$였다. $D_{AP-MidLV}$와 $D_{AP-Apex}$는 좌측 기울린 위치에서 의미있게 길었지만 (p<0.001), AngleAP-LV는 두 자세 사이에 비슷했다. 심장정지인 임신부에서 좌측으로 기울림은 흉부압박의 심장펌프 효과를 떨어뜨릴 수도 있다.

• Korean Journal of Radiology
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• 제22권5호
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• pp.829-839
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• 2021

Objective: To compare the diagnostic performance of contrast-enhanced radial T1-weighted gradient-echo 3-tesla (3T) magnetic resonance imaging (MRI) and computed tomography (CT) for the detection of visceral pleural surface invasion (VPSI). Visceral pleural invasion by non-small-cell lung cancer (NSCLC) can be classified into two types: PL1 (without VPSI), invasion of the elastic layer of the visceral pleura without reaching the visceral pleural surface, and PL2 (with VPSI), full invasion of the visceral pleura. Materials and Methods: Thirty-three patients with pathologically confirmed VPSI by NSCLC were retrospectively reviewed. Multidetector CT and contrast-enhanced 3T MRI with a free-breathing radial three-dimensional fat-suppressed volumetric interpolated breath-hold examination (VIBE) pulse sequence were compared in terms of the length of contact, angle of mass margin, and arch distance-to-maximum tumor diameter ratio. Supplemental evaluation of the tumor-pleura interface (smooth versus irregular) could only be performed with MRI (not discernible on CT). Results: At the tumor-pleura interface, radial VIBE MRI revealed a smooth margin in 20 of 21 patients without VPSI and an irregular margin in 10 of 12 patients with VPSI, yielding an accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F-score for VPSI detection of 91%, 83%, 95%, 91%, 91%, and 87%, respectively. The McNemar test and receiver operating characteristics curve analysis revealed no significant differences between the diagnostic accuracies of CT and MRI for evaluating the contact length, angle of mass margin, or arch distance-to-maximum tumor diameter ratio as predictors of VPSI. Conclusion: The diagnostic performance of contrast-enhanced radial T1-weighted gradient-echo 3T MRI and CT were equal in terms of the contact length, angle of mass margin, and arch distance-to-maximum tumor diameter ratio. The advantage of MRI is its clear depiction of the tumor-pleura interface margin, facilitating VPSI detection.

• Korean Journal of Radiology
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• 제22권3호
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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.

• Korean Journal of Radiology
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• 제22권2호
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• pp.281-290
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• 2021

Objective: To assess the performance of content-based image retrieval (CBIR) of chest CT for diffuse interstitial lung disease (DILD). Materials and Methods: The database was comprised by 246 pairs of chest CTs (initial and follow-up CTs within two years) from 246 patients with usual interstitial pneumonia (UIP, n = 100), nonspecific interstitial pneumonia (NSIP, n = 101), and cryptogenic organic pneumonia (COP, n = 45). Sixty cases (30-UIP, 20-NSIP, and 10-COP) were selected as the queries. The CBIR retrieved five similar CTs as a query from the database by comparing six image patterns (honeycombing, reticular opacity, emphysema, ground-glass opacity, consolidation and normal lung) of DILD, which were automatically quantified and classified by a convolutional neural network. We assessed the rates of retrieving the same pairs of query CTs, and the number of CTs with the same disease class as query CTs in top 1-5 retrievals. Chest radiologists evaluated the similarity between retrieved CTs and queries using a 5-scale grading system (5-almost identical; 4-same disease; 3-likelihood of same disease is half; 2-likely different; and 1-different disease). Results: The rate of retrieving the same pairs of query CTs in top 1 retrieval was 61.7% (37/60) and in top 1-5 retrievals was 81.7% (49/60). The CBIR retrieved the same pairs of query CTs more in UIP compared to NSIP and COP (p = 0.008 and 0.002). On average, it retrieved 4.17 of five similar CTs from the same disease class. Radiologists rated 71.3% to 73.0% of the retrieved CTs with a similarity score of 4 or 5. Conclusion: The proposed CBIR system showed good performance for retrieving chest CTs showing similar patterns for DILD.