Korean Journal of Radiology最新文献

{"title":"Training of Radiology Residents in Mongolia.","authors":"Munkhbaatar Dagvasumberel, Tugsjargal Purevsukh, Oyundari Gonchigsuren, Gonchigsuren Dagvasumberel","doi":"10.3348/kjr.2024.1095","DOIUrl":"10.3348/kjr.2024.1095","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 2","pages":"94-96"},"PeriodicalIF":4.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emergency Radiology: Current Status and Recent Advances.","authors":"Rathachai Kaewlai, Choong Wook Lee","doi":"10.3348/kjr.2024.1086","DOIUrl":"10.3348/kjr.2024.1086","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 2","pages":"91-93"},"PeriodicalIF":4.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma.","authors":"Siyu Chen, Jiankun Dai, Jing Zhao, Shuang Han, Xiaojun Zhang, Jun Chang, Donghui Jiang, Heng Zhang, Peng Wang, Shudong Hu","doi":"10.3348/kjr.2024.0385","DOIUrl":"10.3348/kjr.2024.0385","url":null,"abstract":"<p><strong>Objective: </strong>To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).</p><p><strong>Materials and methods: </strong>Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiver-operating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.</p><p><strong>Results: </strong>The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all <i>P</i> < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein-Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all <i>P</i> < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.</p><p><strong>Conclusion: </strong>SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 2","pages":"135-145"},"PeriodicalIF":4.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI Characteristics for Distinguishing Solitary Fibrous Tumor From Desmoid Tumor.","authors":"Tetsuro Kaga, Hiroki Kato, Masaya Kawaguchi, Tomohiro Kanayama, Akihito Nagano, Shingo Omata, Yoshifumi Noda, Fuminori Hyodo, Masayuki Matsuo","doi":"10.3348/kjr.2024.0885","DOIUrl":"10.3348/kjr.2024.0885","url":null,"abstract":"<p><strong>Objective: </strong>To elucidate the magnetic resonance imaging (MRI) characteristics for distinguishing solitary fibrous tumors (SFTs) from desmoid tumors (DTs).</p><p><strong>Materials and methods: </strong>A retrospective study of 66 consecutive patients with histopathologically proven SFT (n = 34; 13 males and 21 females; mean age, 52.0 ± 17.1 years) or DT (n = 32; 11 males and 21 females; mean age, 39.0 ± 21.3 years) was conducted. The two groups were quantitatively compared in terms of the size, signal intensity ratio (SIR), and apparent diffusion coefficient value. For qualitative analysis, the tumor location, boundary, shape, internal uniformity, predominant signal intensity, T1-weighted images (T1WI) characteristics (hyperintense area), T2-weighted images (T2WI) characteristics (hypointense area, marked hyperintense area, flow void, band sign, and yin-yang sign), and contrast-enhanced T1WI characteristics (unenhanced area and degree of enhancement) were compared between the two groups. Multiple stepwise logistic regression analyses were conducted to distinguish between the SFT and DT.</p><p><strong>Results: </strong>T1 (<i>P</i> = 0.010) and T2 (<i>P</i> = 0.026) SIRs were higher in SFTs than in DTs. Hyperintense areas on T1WI (<i>P</i> < 0.001), marked hyperintense areas on T2WI (<i>P</i> = 0.025), and flow void (<i>P</i> = 0.025) were more frequently noted in SFTs. On T1WI, the solid component predominantly revealed hyperintensity in SFTs and isointensity in DTs (<i>P</i> < 0.001). Indistinct tumor boundary (<i>P</i> < 0.001), hypointense area on T2WI (<i>P</i> < 0.001), and band sign (<i>P</i> < 0.001) were more frequently observed in DTs. Multiple stepwise logistic regression analysis revealed that the hyperintense area on T1WI (odds ratio favoring SFT, 12.80, <i>P</i> = 0.002) and band sign (odds ratio favoring DT, 0.03; <i>P</i> < 0.001) were independent predictors.</p><p><strong>Conclusion: </strong>MRI characteristics can help distinguish SFT from DT. The presence of a hyperintense area relative to the skeletal muscle on T1WI in SFTs and the band sign on T2WI in DTs are important MRI features.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 2","pages":"169-179"},"PeriodicalIF":4.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794291/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Training Radiology Residents in Malaysia.","authors":"Farhana Fadzli, Norlisah Mohd Ramli","doi":"10.3348/kjr.2024.1075","DOIUrl":"10.3348/kjr.2024.1075","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"5-7"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717859/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor \"Ten-Year Outcomes of Radiofrequency Ablation for Locally Recurrent Papillary Thyroid Cancer\".","authors":"Taha Oguz Keklikoglu, Tanju Kisbet, Serkan Aribal","doi":"10.3348/kjr.2024.1120","DOIUrl":"10.3348/kjr.2024.1120","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"88-89"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reflections on 2024 and Perspectives for 2025 for <i>KJR</i>.","authors":"Seong Ho Park","doi":"10.3348/kjr.2024.1254","DOIUrl":"10.3348/kjr.2024.1254","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"1-4"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717860/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prospective Evaluation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to 2D Spin-Echo and 3D Gradient-Echo Sequences.","authors":"Kyu Sung Choi, Chanrim Park, Ji Ye Lee, Kyung Hoon Lee, Young Hun Jeon, Inpyeong Hwang, Roh Eul Yoo, Tae Jin Yun, Mi Ji Lee, Keun-Hwa Jung, Koung Mi Kang","doi":"10.3348/kjr.2024.0653","DOIUrl":"10.3348/kjr.2024.0653","url":null,"abstract":"<p><strong>Objective: </strong>To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI.</p><p><strong>Materials and methods: </strong>This study included 150 participants (51 male; mean age 57.3 ± 16.2 years). Each group of 50 participants was scanned using one of three 3T scanners from three different vendors. Conventional and Accel-DL MRI images were obtained from each participant and compared using 2D T1- and T2-weighted and 3D gradient-echo sequences. Accel-DL acquisition was achieved using optimized scan parameters to reduce the scan time, with the acquired images reconstructed using U-Net-based software to transform low-quality, undersampled k-space data into high-quality images. The scan times of Accel-DL and conventional MRI methods were compared. Four neuroradiologists assessed the overall image quality, structural delineation, and artifacts using Likert scale (5- and 3-point scales). Inter-reader agreement was assessed using Fleiss' kappa coefficient. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and volumetric quantification of regional structures and white matter hyperintensities (WMHs) was performed.</p><p><strong>Results: </strong>Accel-DL showed a mean scan time reduction of 39.4% (range, 24.2%-51.3%). Accel-DL improved overall image quality (3.78 ± 0.71 vs. 3.36 ± 0.61, <i>P</i> < 0.001), structure delineation (2.47 ± 0.61 vs. 2.35 ± 0.62, <i>P</i> < 0.001), and artifacts (3.73 ± 0.72 vs. 3.71 ± 0.69, <i>P</i> = 0.016). Inter-reader agreement was fair to substantial (κ = 0.34-0.50). SNR and CNR increased in Accel-DL (82.0 ± 23.1 vs. 31.4 ± 10.8, <i>P</i> = 0.02; 12.4 ± 4.1 vs. 4.4 ± 11.2, <i>P</i> = 0.02). Bland-Altman plots revealed no significant differences in the volumetric measurements of 98.2% of the relevant regions, except in the deep gray matter, including the thalamus. Five of the six lesion categories showed no significant differences in WMH segmentation, except for leukocortical lesions (<i>r</i> = 0.64 ± 0.29).</p><p><strong>Conclusion: </strong>Accel-DL substantially reduced the scan time and improved the quality of brain MRI in both spin-echo and gradient-echo sequences without compromising volumetry, including lesion quantification.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"54-64"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrafast MRI for Pediatric Brain Assessment in Routine Clinical Practice.","authors":"Hee Eun Moon, Ji Young Ha, Jae Won Choi, Seung Hyun Lee, Jae-Yeon Hwang, Young Hun Choi, Jung-Eun Cheon, Yeon Jin Cho","doi":"10.3348/kjr.2024.0725","DOIUrl":"10.3348/kjr.2024.0725","url":null,"abstract":"<p><strong>Objective: </strong>To assess the feasibility of ultrafast brain magnetic resonance imaging (MRI) in pediatric patients.</p><p><strong>Materials and methods: </strong>We retrospectively reviewed 194 pediatric patients aged 0 to 19 years (median 10.2 years) who underwent both ultrafast and conventional brain MRI between May 2019 and August 2020. Ultrafast MRI sequences included T1 and T2-weighted images (T1WI and T2WI), fluid-attenuated inversion recovery (FLAIR), T2*-weighted image (T2*WI), and diffusion-weighted image (DWI). Qualitative image quality and lesion evaluations were conducted on 5-point Likert scales by two blinded radiologists, with quantitative assessment of lesion count and size on T1WI, T2WI, and FLAIR sequences for each protocol. Wilcoxon signed-rank tests and intraclass correlation coefficient (ICC) analyses were used for comparison.</p><p><strong>Results: </strong>The total scan times for equivalent image contrasts were 1 minute 44 seconds for ultrafast MRI and 15 minutes 30 seconds for conventional MRI. Overall, image quality was lower in ultrafast MRI than in conventional MRI, with mean quality scores ranging from 2.0 to 4.8 for ultrafast MRI and 4.8 to 5.0 for conventional MRI across sequences (<i>P</i> < 0.001 for T1WI, T2WI, FLAIR, and T2*WI for both readers; <i>P</i> = 0.018 [reader 1] and 0.031 [reader 2] for DWI). Lesion detection rates on ultrafast MRI relative to conventional MRI were as follows: T1WI, 97.1%; T2WI, 99.6%; FLAIR, 92.9%; T2*WI, 74.1%; and DWI, 100%. The ICC (95% confidence interval) for lesion size measurements between ultrafast and conventional MRI was as follows: T1WI, 0.998 (0.996-0.999); T2WI, 0.998 (0.997-0.999); and FLAIR, 0.99 (0.985-0.994).</p><p><strong>Conclusion: </strong>Ultrafast MRI significantly reduces scan time and provides acceptable results, albeit with slightly lower image quality than conventional MRI, for evaluating intracranial abnormalities in pediatric patients.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"75-87"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Efficacy of Ultrafast Dynamic Contrast-Enhanced MRI Using Compressed Sensing in Distinguishing Benign and Malignant Soft-Tissue Tumors.","authors":"You Seon Song, In Sook Lee, Young Jin Choi, Jeung Il Kim, Kyung-Un Choi, Kangsoo Kim, Kyungeun Jang","doi":"10.3348/kjr.2024.0736","DOIUrl":"10.3348/kjr.2024.0736","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the clinical efficacy of ultrafast dynamic contrast-enhanced (DCE)-MRI using a compressed sensing (CS) technique for differentiating benign and malignant soft-tissue tumors (STTs) and to evaluate the factors related to the grading of malignant STTs.</p><p><strong>Materials and methods: </strong>A total of 165 patients (96 male; mean age, 61 years), comprising 111 with malignant STTs and 54 with benign STTs according to the 2020 WHO classification, underwent DCE-MRI with CS between June 2018 and June 2023. The clinical, qualitative, and quantitative parameters associated with conventional MRI were also obtained. During post-processing of the early arterial phase of DCE-MRI, the time-to-enhance (TTE), time-to-peak (TTP), initial area under the curve at 60 s (iAUC60), and maximum slope were calculated. Furthermore, the delayed arterial phase parameters of DCE-MRI, including K^trans, K_ep, V_e, and iAUC values and time-concentration curve (TCC) types, were determined. Clinical and MRI parameters were statistically analyzed to differentiate between benign and malignant tumors and their correlation with tumor grading.</p><p><strong>Results: </strong>According to logistic regression analysis, the TTE value (<i>P</i> < 0.001) of the early arterial phase and V_e (<i>P</i> = 0.039) and iAUC (<i>P</i> = 0.006) values of the delayed arterial phase, as well as age, location, peritumoral edema, and contrast heterogeneity on conventional MRI, were significant (<i>P</i> = 0.001-0.015) in differentiating benign and malignant tumors. Among all the quantitative parameters, the TTE value had the highest accuracy, with an area under the receiver operating characteristic curve of 0.902. The grading of malignant tumors was significantly correlated with peritumoral edema; CE heterogeneity; visual diffusion restriction; minimum and mean ADC; TTP, K_ep, and V_e values; and the TCC graph (all <i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>Among the quantitative parameters obtained using ultrafast DCE-MRI, early arterial phase TTE was the most accurate for distinguishing between benign and malignant tumors.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 1","pages":"43-53"},"PeriodicalIF":4.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}