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Ultrasound Findings After Breast Cancer Radiation Therapy: Cutaneous, Pleural, Pulmonary, and Cardiac Changes. 乳腺癌放疗后的超声波检查结果:皮肤、胸膜、肺部和心脏变化。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01 DOI: 10.3348/kjr.2024.0672
Orlando Catalano, Roberta Fusco, Serena Carriero, Stefania Tamburrini, Vincenza Granata

External beam radiation therapy (RT) can induce toxicity in patients surgically treated for breast cancer. Modern irradiation techniques have lowered the incidence and severity of radiation-induced injuries; however, their side effects on normal tissues remain challenging. This review illustrates early and late changes observed using ultrasound (US) imaging, including echocardiography, at the skin, muscle, pleura, lungs, and heart levels. The US findings and the potential role of this technique in detecting and grading early and late complications of RT are highlighted in this article. US has proven useful in the differential diagnosis of post-RT complications, including but not limited to cancer recurrence and toxicity from other sources, such as anticancer drugs. Additionally, considering the progressive nature of RT-induced injury, early detection of toxicity may be helpful in the individual stratification of damage risk and serve as a tool for patient screening and management. In these cases, US can be used as a radiation-free biomarker of RT side effects at the subclinical stage.

体外放射治疗(RT)会对接受手术治疗的乳腺癌患者产生毒性。现代辐照技术已降低了辐射所致损伤的发生率和严重程度,但其对正常组织的副作用仍具有挑战性。本综述阐述了使用超声(US)成像(包括超声心动图)在皮肤、肌肉、胸膜、肺和心脏层面观察到的早期和晚期变化。本文重点介绍了 US 发现以及该技术在检测和分级 RT 早期和晚期并发症方面的潜在作用。事实证明,US 对 RT 后并发症的鉴别诊断非常有用,包括但不限于癌症复发和其他来源(如抗癌药物)的毒性。此外,考虑到 RT 引起的损伤具有渐进性,早期发现毒性可能有助于对损伤风险进行个体分层,并可作为患者筛查和管理的工具。在这种情况下,US 可以作为一种无辐射生物标记物,在亚临床阶段检测 RT 副作用。
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引用次数: 0
Duration of Response as Clinical Endpoint: A Quick Guide for Clinical Researchers. 作为临床终点的反应持续时间:临床研究人员快速指南》。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01 DOI: 10.3348/kjr.2024.0589
Seonok Kim, Min-Ju Kim, Jooae Choe
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引用次数: 0
Image-Based Generative Artificial Intelligence in Radiology: Comprehensive Updates. 放射学中基于图像的生成人工智能:全面更新。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01 DOI: 10.3348/kjr.2024.0392
Ha Kyung Jung, Kiduk Kim, Ji Eun Park, Namkug Kim

Generative artificial intelligence (AI) has been applied to images for image quality enhancement, domain transfer, and augmentation of training data for AI modeling in various medical fields. Image-generative AI can produce large amounts of unannotated imaging data, which facilitates multiple downstream deep-learning tasks. However, their evaluation methods and clinical utility have not been thoroughly reviewed. This article summarizes commonly used generative adversarial networks and diffusion models. In addition, it summarizes their utility in clinical tasks in the field of radiology, such as direct image utilization, lesion detection, segmentation, and diagnosis. This article aims to guide readers regarding radiology practice and research using image-generative AI by 1) reviewing basic theories of image-generative AI, 2) discussing the methods used to evaluate the generated images, 3) outlining the clinical and research utility of generated images, and 4) discussing the issue of hallucinations.

图像生成人工智能(AI)已被应用于各种医疗领域的图像质量增强、领域转移和人工智能建模训练数据的扩充。图像生成式人工智能可以生成大量未标注的图像数据,从而为多种下游深度学习任务提供便利。然而,其评估方法和临床实用性尚未得到深入研究。本文总结了常用的生成对抗网络和扩散模型。此外,文章还总结了它们在放射学领域临床任务中的实用性,如直接利用图像、病变检测、分割和诊断。本文旨在通过 1) 回顾图像生成人工智能的基本理论,2) 讨论用于评估生成图像的方法,3) 概述生成图像的临床和研究用途,以及 4) 讨论幻觉问题,为读者使用图像生成人工智能进行放射学实践和研究提供指导。
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引用次数: 0
Determining Disease Activity and Glucocorticoid Response in Thyroid-Associated Ophthalmopathy: Preliminary Study Using Dynamic Contrast-Enhanced MRI. 确定甲状腺相关性眼病的疾病活动性和糖皮质激素反应:使用动态对比增强磁共振成像的初步研究
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-29 DOI: 10.3348/kjr.2024.0335
Hao Hu, Xiong-Ying Pu, Jiang Zhou, Wen-Hao Jiang, Qian Wu, Jin-Ling Lu, Fei-Yun Wu, Huan-Huan Chen, Xiao-Quan Xu

Objective: To assess the role of dynamic contrast-enhanced (DCE)-MRI of the extraocular muscles (EOMs) for determining the activity of thyroid-associated ophthalmopathy (TAO) and treatment response to glucocorticoids (GCs).

Materials and methods: We prospectively enrolled 65 patients with TAO (41 active, 82 eyes; 24 inactive, 48 eyes). Twenty-two active patients completed the GC treatment and follow-up assessment, including 15 patients (30 eyes) and 7 patients (14 eyes), defined as responsive and unresponsive, respectively. Model-free (time to peak [TTP], area under the curve [AUC], and Slopemax) and model-based (Ktrans, Kep, and Ve) parameters of EOMs in embedded simplified histogram analyses were calculated and compared between groups. Multivariable logistic regression analysis was used to identify the independent predictors. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the diagnostic performance.

Results: Active patients exhibited significantly higher TTP at the 10th percentile (-10th), TTP-mean, and TTP at the 90th percentile (-90th); AUC-10th, AUC-mean, AUC-90th, and AUC-max; Ktrans-10th and Ktrans-mean; and Ve-10th, Ve-mean, Ve-90th, and Ve-max than inactive patients (P < 0.05). Responsive patients exhibited significantly lower TTP-min; higher Ktrans-mean and Ktrans-max; and higher Kep-10th, Kep-mean, and Kep-max than unresponsive patients (P < 0.05). TTP-mean and Ve-mean were independent variables for determining disease activity (P = 0.017 and 0.022, respectively). A combination of the two parameters could determine active TAO with moderate performance (AUROC = 0.687). TTP-min and Ktrans-mean were independent predictors of the response to GCs (P = 0.023 and 0.004, respectively), uniting which could determine the response to GCs with decent performance (AUROC = 0.821).

Conclusion: DCE-MRI-derived model-free and model-based parameters of EOMs can assist in the evaluation of TAO. In particular, TTP-mean and Ve-mean could be useful for determining the activity of TAO, whereas TTP-min and Ktrans-mean could be promising biomarkers for determining the response to GCs.

目的评估眼外肌动态对比增强(DCE)-MRI在确定甲状腺相关性眼病(TAO)的活动性和对糖皮质激素(GCs)的治疗反应方面的作用:我们前瞻性地招募了65名TAO患者(41名活动期患者,82只眼;24名非活动期患者,48只眼)。22名活动期患者完成了糖皮质激素治疗和随访评估,其中15名患者(30只眼)和7名患者(14只眼)分别被定义为有反应和无反应。计算并比较了嵌入式简化直方图分析中 EOMs 的无模型参数(达峰时间 [TTP]、曲线下面积 [AUC] 和 Slopemax)和基于模型参数(Ktrans、Kep 和 Ve)。多变量逻辑回归分析用于确定独立的预测因素。接受者操作特征曲线下面积(AUROC)用于评估诊断性能:活性患者的 TTP 第 10 百分位数 (-10th)、TTP 平均值和 TTP 第 90 百分位数 (-90th);AUC-10th、AUC 平均值、AUC-90th 和 AUC-max;Ktrans-10th 和 Ktrans 平均值;Ve-10th、Ve 平均值、Ve-90th 和 Ve-max 均明显高于非活性患者(P < 0.05)。有反应的患者的 TTP-min 明显低于无反应的患者;Ktrans-mean 和 Ktrans-max 明显高于无反应的患者;Kep-10th、Kep-mean 和 Kep-max 明显高于无反应的患者(P < 0.05)。TTP-mean 和 Ve-mean 是确定疾病活动性的独立变量(P = 0.017 和 0.022)。这两个参数的组合可确定活跃的 TAO,其性能处于中等水平(AUROC = 0.687)。TTP-min和Ktrans-mean是GCs反应的独立预测因子(分别为P = 0.023和0.004),结合这两个参数可确定GCs反应,性能良好(AUROC = 0.821):结论:DCE-MRI衍生的无模型和基于模型的EOMs参数有助于评估TAO。结论:DCE-MRI衍生的无模型和基于模型的EOMs参数有助于评估TAO,尤其是TTP-mean和Ve-mean可用于确定TAO的活性,而TTP-min和Ktrans-mean则是确定对GCs反应的有前途的生物标志物。
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引用次数: 0
Prostate Cancer Screening With MRI: Lessons Learned From Repeat Rounds of the GÖTEBORG-2 and STHLM3-MRI Trials. 利用 MRI 筛查前列腺癌:从 GÖTEBORG-2 和 STHLM3-MRI 试验的重复轮回中汲取的经验。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-29 DOI: 10.3348/kjr.2024.1024
Sungmin Woo, Hebert Alberto Vargas, Anwar R Padhani
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引用次数: 0
A Nomogram Using Imaging Features to Predict Ipsilateral Breast Tumor Recurrence After Breast-Conserving Surgery for Ductal Carcinoma In Situ. 利用成像特征预测原位乳管癌保乳术后同侧乳腺肿瘤复发的提名图
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-01 DOI: 10.3348/kjr.2024.0268
Bo Hwa Choi, Soohee Kang, Nariya Cho, Soo-Yeon Kim

Objective: To develop a nomogram that integrates clinical-pathologic and imaging variables to predict ipsilateral breast tumor recurrence (IBTR) in women with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery (BCS).

Materials and methods: This retrospective study included consecutive women with DCIS who underwent BCS at two hospitals. Patients who underwent BCS between 2003 and 2016 in one hospital and between 2005 and 2013 in another were classified into development and validation cohorts, respectively. Twelve clinical-pathologic variables (age, family history, initial presentation, nuclear grade, necrosis, margin width, number of excisions, DCIS size, estrogen receptor, progesterone receptor, radiation therapy, and endocrine therapy) and six mammography and ultrasound variables (breast density, detection modality, mammography and ultrasound patterns, morphology and distribution of calcifications) were analyzed. A nomogram for predicting 10-year IBTR probabilities was constructed using the variables associated with IBTR identified from the Cox proportional hazard regression analysis in the development cohort. The performance of the developed nomogram was evaluated in the external validation cohort using a calibration plot and 10-year area under the receiver operating characteristic curve (AUROC) and compared with the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram.

Results: The development cohort included 702 women (median age [interquartile range], 50 [44-56] years), of whom 30 (4%) women experienced IBTR. The validation cohort included 182 women (48 [43-54] years), 18 (10%) of whom developed IBTR. A nomogram was constructed using three clinical-pathologic variables (age, margin, and use of adjuvant radiation therapy) and two mammographic variables (breast density and calcification morphology). The nomogram was appropriately calibrated and demonstrated a comparable 10-year AUROC to the MSKCC nomogram (0.73 vs. 0.66, P = 0.534) in the validation cohort.

Conclusion: Our nomogram provided individualized risk estimates for women with DCIS treated with BCS, demonstrating a discriminative ability comparable to that of the MSKCC nomogram.

目的开发一种综合临床病理和影像学变量的提名图,用于预测接受保乳手术(BCS)的导管原位癌(DCIS)女性患者的同侧乳腺肿瘤复发(IBTR):这项回顾性研究包括在两家医院接受保乳手术(BCS)的连续性DCIS女性患者。2003年至2016年期间在一家医院接受BCS治疗的患者和2005年至2013年期间在另一家医院接受BCS治疗的患者分别被分为开发组和验证组。分析了12个临床病理变量(年龄、家族史、初始表现、核分级、坏死、边缘宽度、切除次数、DCIS大小、雌激素受体、孕激素受体、放疗和内分泌治疗)和6个乳腺X光检查和超声检查变量(乳腺密度、检测方式、乳腺X光检查和超声检查模式、钙化的形态和分布)。利用在研究队列中通过考克斯比例危险回归分析确定的与 IBTR 相关的变量,构建了预测 10 年 IBTR 概率的提名图。在外部验证队列中,使用校准图和10年接收器操作特征曲线下面积(AUROC)评估了所开发提名图的性能,并与纪念斯隆-凯特琳癌症中心(MSKCC)提名图进行了比较:开发队列包括 702 名女性(中位年龄[四分位数间距],50 [44-56] 岁),其中 30 名女性(4%)经历了 IBTR。验证队列包括 182 名妇女(48 [43-54] 岁),其中 18 人(10%)出现了 IBTR。利用三个临床病理变量(年龄、边缘、辅助放疗的使用情况)和两个乳腺 X 线摄影变量(乳腺密度和钙化形态)构建了一个提名图。该提名图经过适当校准,在验证队列中显示出与 MSKCC 提名图相当的 10 年 AUROC(0.73 vs. 0.66,P = 0.534):结论:我们的提名图为接受 BCS 治疗的 DCIS 妇女提供了个性化的风险估计,显示出与 MSKCC 提名图相当的鉴别能力。
{"title":"A Nomogram Using Imaging Features to Predict Ipsilateral Breast Tumor Recurrence After Breast-Conserving Surgery for Ductal Carcinoma In Situ.","authors":"Bo Hwa Choi, Soohee Kang, Nariya Cho, Soo-Yeon Kim","doi":"10.3348/kjr.2024.0268","DOIUrl":"10.3348/kjr.2024.0268","url":null,"abstract":"<p><strong>Objective: </strong>To develop a nomogram that integrates clinical-pathologic and imaging variables to predict ipsilateral breast tumor recurrence (IBTR) in women with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery (BCS).</p><p><strong>Materials and methods: </strong>This retrospective study included consecutive women with DCIS who underwent BCS at two hospitals. Patients who underwent BCS between 2003 and 2016 in one hospital and between 2005 and 2013 in another were classified into development and validation cohorts, respectively. Twelve clinical-pathologic variables (age, family history, initial presentation, nuclear grade, necrosis, margin width, number of excisions, DCIS size, estrogen receptor, progesterone receptor, radiation therapy, and endocrine therapy) and six mammography and ultrasound variables (breast density, detection modality, mammography and ultrasound patterns, morphology and distribution of calcifications) were analyzed. A nomogram for predicting 10-year IBTR probabilities was constructed using the variables associated with IBTR identified from the Cox proportional hazard regression analysis in the development cohort. The performance of the developed nomogram was evaluated in the external validation cohort using a calibration plot and 10-year area under the receiver operating characteristic curve (AUROC) and compared with the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram.</p><p><strong>Results: </strong>The development cohort included 702 women (median age [interquartile range], 50 [44-56] years), of whom 30 (4%) women experienced IBTR. The validation cohort included 182 women (48 [43-54] years), 18 (10%) of whom developed IBTR. A nomogram was constructed using three clinical-pathologic variables (age, margin, and use of adjuvant radiation therapy) and two mammographic variables (breast density and calcification morphology). The nomogram was appropriately calibrated and demonstrated a comparable 10-year AUROC to the MSKCC nomogram (0.73 vs. 0.66, <i>P</i> = 0.534) in the validation cohort.</p><p><strong>Conclusion: </strong>Our nomogram provided individualized risk estimates for women with DCIS treated with BCS, demonstrating a discriminative ability comparable to that of the MSKCC nomogram.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 10","pages":"876-886"},"PeriodicalIF":4.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142349327","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}
引用次数: 0
Prospective Comparison of FOCUS MUSE and Single-Shot Echo-Planar Imaging for Diffusion-Weighted Imaging in Evaluating Thyroid-Associated Ophthalmopathy. 前瞻性比较 FOCUS MUSE 和单次回声-平面成像在评估甲状腺相关性眼病中的弥散加权成像。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-01 DOI: 10.3348/kjr.2024.0177
YunMeng Wang, YuanYuan Cui, JianKun Dai, ShuangShuang Ni, TianRan Zhang, Xin Chen, QinLing Jiang, YuXin Cheng, YiChuan Ma, Tuo Li, Yi Xiao

Objective: To prospectively compare single-shot (SS) echo-planar imaging (EPI) and field-of-view optimized and constrained undistorted single-shot multiplexed sensitivity-encoding (FOCUS MUSE) for diffusion-weighted imaging (DWI) in evaluating thyroid-associated ophthalmopathy (TAO).

Materials and methods: SS EPI and FOCUS MUSE DWIs were obtained from 39 patients with TAO (18 male; mean ± standard deviation: 48.3 ± 13.3 years) and 26 healthy controls (9 male; mean ± standard deviation: 43.0 ± 18.5 years). Two radiologists scored the visual image quality using a 4-point Likert scale. The image quality score, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) of extraocular muscles (EOMs) were compared between the two DWIs. Differences in the ADC of EOMs were also evaluated. The performance of discriminating active from inactive TAO was assessed using receiver operating characteristic curves. The correlation between ADC and clinical activity score (CAS) was analyzed using Spearman correlation.

Results: Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated significantly higher image quality scores (P < 0.001), a higher SNR and CNR on the lateral rectus muscle (LRM) and medial rectus muscle (MRM) (P < 0.05), and a non-significant difference in the ADC of the LRM and MRM. Active TAO showed higher ADC than inactive TAO and healthy controls with both SS EPI and FOCUS MUSE DWIs (P < 0.001). Inactive TAO and healthy controls did not show a significant ADC difference with both DWIs. Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated better discrimination of active from inactive TAO (AUC: 0.925 vs. 0.779; P = 0.007). The ADC was significantly correlated with CAS in SS EPI DWI (r = 0.391, P < 0.001) and FOCUS MUSE DWI (r = 0.645, P < 0.001).

Conclusion: FOCUS MUSE DWI provides better images for evaluating EOMs and better performance in diagnosing active TAO than SS EPI DWI. The application of FOCUS MUSE will facilitate the DWI evaluation of TAO.

目的前瞻性地比较单次(SS)回声平面成像(EPI)和视场优化与约束不失真单次多路灵敏度编码(FOCUS MUSE)扩散加权成像(DWI)在评估甲状腺相关性眼病(TAO)中的应用:从 39 名 TAO 患者(18 名男性;平均 ± 标准偏差:48.3 ± 13.3 岁)和 26 名健康对照者(9 名男性;平均 ± 标准偏差:43.0 ± 18.5 岁)身上获取 SS EPI 和 FOCUS MUSE DWI。两名放射科医生使用 4 点李克特量表对视觉图像质量进行评分。比较了两种 DWI 的图像质量评分、信噪比(SNR)、对比度与噪声比(CNR)以及眼外肌(EOMs)的表观弥散系数(ADC)。还评估了眼外肌 ADC 的差异。使用接收器操作特征曲线评估了区分活动性和非活动性TAO的性能。利用斯皮尔曼相关性分析了ADC与临床活动评分(CAS)之间的相关性:与 SS EPI DWI 相比,FOCUS MUSE DWI 的图像质量评分明显更高(P < 0.001),外侧直肌(LRM)和内侧直肌(MRM)的 SNR 和 CNR 更高(P < 0.05),而 LRM 和 MRM 的 ADC 差异不大。在 SS EPI 和 FOCUS MUSE DWIs 中,活动性 TAO 的 ADC 均高于非活动性 TAO 和健康对照组(P < 0.001)。非活动性TAO和健康对照组在两种DWI中的ADC差异不明显。与 SS EPI DWI 相比,FOCUS MUSE DWI 能更好地区分活跃与非活跃 TAO(AUC:0.925 对 0.779;P = 0.007)。在SS EPI DWI(r = 0.391,P < 0.001)和FOCUS MUSE DWI(r = 0.645,P < 0.001)中,ADC与CAS明显相关:结论:与SS EPI DWI相比,FOCUS MUSE DWI为评估EOM提供了更好的图像,在诊断活动性TAO方面表现更好。FOCUS MUSE的应用将有助于对TAO进行DWI评估。
{"title":"Prospective Comparison of FOCUS MUSE and Single-Shot Echo-Planar Imaging for Diffusion-Weighted Imaging in Evaluating Thyroid-Associated Ophthalmopathy.","authors":"YunMeng Wang, YuanYuan Cui, JianKun Dai, ShuangShuang Ni, TianRan Zhang, Xin Chen, QinLing Jiang, YuXin Cheng, YiChuan Ma, Tuo Li, Yi Xiao","doi":"10.3348/kjr.2024.0177","DOIUrl":"10.3348/kjr.2024.0177","url":null,"abstract":"<p><strong>Objective: </strong>To prospectively compare single-shot (SS) echo-planar imaging (EPI) and field-of-view optimized and constrained undistorted single-shot multiplexed sensitivity-encoding (FOCUS MUSE) for diffusion-weighted imaging (DWI) in evaluating thyroid-associated ophthalmopathy (TAO).</p><p><strong>Materials and methods: </strong>SS EPI and FOCUS MUSE DWIs were obtained from 39 patients with TAO (18 male; mean ± standard deviation: 48.3 ± 13.3 years) and 26 healthy controls (9 male; mean ± standard deviation: 43.0 ± 18.5 years). Two radiologists scored the visual image quality using a 4-point Likert scale. The image quality score, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) of extraocular muscles (EOMs) were compared between the two DWIs. Differences in the ADC of EOMs were also evaluated. The performance of discriminating active from inactive TAO was assessed using receiver operating characteristic curves. The correlation between ADC and clinical activity score (CAS) was analyzed using Spearman correlation.</p><p><strong>Results: </strong>Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated significantly higher image quality scores (<i>P</i> < 0.001), a higher SNR and CNR on the lateral rectus muscle (LRM) and medial rectus muscle (MRM) (<i>P</i> < 0.05), and a non-significant difference in the ADC of the LRM and MRM. Active TAO showed higher ADC than inactive TAO and healthy controls with both SS EPI and FOCUS MUSE DWIs (<i>P</i> < 0.001). Inactive TAO and healthy controls did not show a significant ADC difference with both DWIs. Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated better discrimination of active from inactive TAO (AUC: 0.925 vs. 0.779; <i>P</i> = 0.007). The ADC was significantly correlated with CAS in SS EPI DWI (<i>r</i> = 0.391, <i>P</i> < 0.001) and FOCUS MUSE DWI (<i>r</i> = 0.645, <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>FOCUS MUSE DWI provides better images for evaluating EOMs and better performance in diagnosing active TAO than SS EPI DWI. The application of FOCUS MUSE will facilitate the DWI evaluation of TAO.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 10","pages":"913-923"},"PeriodicalIF":4.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142349332","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}
引用次数: 0
Risk Stratification of Thyroid Nodules Diagnosed as Bethesda Category III by Ultrasound, Size, and Cytology. 通过超声波、大小和细胞学诊断为 Bethesda III 类甲状腺结节的风险分层。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-01 DOI: 10.3348/kjr.2024.0292
Hye Shin Ahn, Dong Gyu Na, Ji-Hoon Kim

Objective: This study aimed to evaluate the performance of an integrated risk stratification system (RSS) based on ultrasound (US) RSSs, nodule size, and cytology subcategory for diagnosing malignancy in thyroid nodules initially identified as Bethesda category III on fine-needle aspiration.

Materials and methods: This retrospective study was conducted at two institutions and included consecutive patients with Bethesda category III nodules, and final diagnoses confirmed by repeat biopsy or surgery. A total of 320 Bethesda category III nodules (≥1 cm) from 309 patients (223 female and 86 male; mean age, 50.9 ± 12.0 years) were included. The malignancy risk of Bethesda category III nodules and predictors of malignancy were assessed according to US RSSs, nodule size, and cytology subcategory. The diagnostic performances of US-size cytology (USC) RSS and US RSS alone for malignancy were compared.

Results: The intermediate or high suspicion US category independently increased the malignancy risk in all US RSSs (P ≤ 0.001). Large nodule size (≥3 cm) independently increased the malignancy risk of low- or intermediate suspicion US category nodules. Additionally, the atypia of undetermined significance cytology subcategory independently increased the malignancy risk of low suspicion US category nodules in most US RSSs. The area under the receiver operating characteristic curve of the USC RSSs was greater than that of the US RSSs alone (P < 0.048). Malignancy was not found in the very low risk category of USC RSS.

Conclusion: The diagnostic performance of USC RSS for malignancy was superior to that of US RSS alone in Bethesda category III nodules. Malignancy can be ruled out in the very low-risk category of USC RSS.

研究目的本研究旨在评估基于超声(US)RSS、结节大小和细胞学亚类的综合风险分层系统(RSS)在诊断细针穿刺初步确定为Bethesda III类甲状腺结节的恶性肿瘤方面的性能:这项回顾性研究在两家医疗机构进行,包括贝塞斯达III类结节的连续患者,最终诊断结果由重复活检或手术证实。研究共纳入了 309 名患者(女性 223 人,男性 86 人;平均年龄(50.9±12.0)岁)的 320 个 Bethesda III 类结节(≥1 厘米)。根据 US RSS、结节大小和细胞学亚类评估了 Bethesda III 类结节的恶性风险和恶性预测因素。比较了US-size细胞学(USC)RSS和单独US RSS对恶性肿瘤的诊断效果:结果:在所有 US RSS 中,中度或高度怀疑 US 类别会独立增加恶性肿瘤风险(P ≤ 0.001)。大结节尺寸(≥3 厘米)可独立增加低度或中度可疑 US 类别结节的恶性风险。此外,在大多数 US RSS 中,意义未定的细胞学不典型性亚类会独立增加低度可疑 US 类别结节的恶性风险。USC RSS 的接收器操作特征曲线下面积大于单独 US RSS 的接收器操作特征曲线下面积(P < 0.048)。在 USC RSS 的极低风险类别中未发现恶性肿瘤:结论:在贝塞斯达 III 类结节中,USC RSS 对恶性肿瘤的诊断效果优于单纯 US RSS。在 USC RSS 的极低风险类别中可以排除恶性肿瘤。
{"title":"Risk Stratification of Thyroid Nodules Diagnosed as Bethesda Category III by Ultrasound, Size, and Cytology.","authors":"Hye Shin Ahn, Dong Gyu Na, Ji-Hoon Kim","doi":"10.3348/kjr.2024.0292","DOIUrl":"10.3348/kjr.2024.0292","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the performance of an integrated risk stratification system (RSS) based on ultrasound (US) RSSs, nodule size, and cytology subcategory for diagnosing malignancy in thyroid nodules initially identified as Bethesda category III on fine-needle aspiration.</p><p><strong>Materials and methods: </strong>This retrospective study was conducted at two institutions and included consecutive patients with Bethesda category III nodules, and final diagnoses confirmed by repeat biopsy or surgery. A total of 320 Bethesda category III nodules (≥1 cm) from 309 patients (223 female and 86 male; mean age, 50.9 ± 12.0 years) were included. The malignancy risk of Bethesda category III nodules and predictors of malignancy were assessed according to US RSSs, nodule size, and cytology subcategory. The diagnostic performances of US-size cytology (USC) RSS and US RSS alone for malignancy were compared.</p><p><strong>Results: </strong>The intermediate or high suspicion US category independently increased the malignancy risk in all US RSSs (<i>P</i> ≤ 0.001). Large nodule size (≥3 cm) independently increased the malignancy risk of low- or intermediate suspicion US category nodules. Additionally, the atypia of undetermined significance cytology subcategory independently increased the malignancy risk of low suspicion US category nodules in most US RSSs. The area under the receiver operating characteristic curve of the USC RSSs was greater than that of the US RSSs alone (<i>P</i> < 0.048). Malignancy was not found in the very low risk category of USC RSS.</p><p><strong>Conclusion: </strong>The diagnostic performance of USC RSS for malignancy was superior to that of US RSS alone in Bethesda category III nodules. Malignancy can be ruled out in the very low-risk category of USC RSS.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 10","pages":"924-933"},"PeriodicalIF":4.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444854/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142349333","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}
引用次数: 0
KJR Honors Distinguished Reviewers for 2024. KJR 荣获 2024 年度杰出评论员称号。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-01 DOI: 10.3348/kjr.2024.0802
Seong Ho Park
{"title":"<i>KJR</i> Honors Distinguished Reviewers for 2024.","authors":"Seong Ho Park","doi":"10.3348/kjr.2024.0802","DOIUrl":"https://doi.org/10.3348/kjr.2024.0802","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 10","pages":"874-875"},"PeriodicalIF":4.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142349326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Letter to the Editor "Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes". 致编辑的信 "关于人工智能提供的价值要素及其保险承保资格的调查,强调以患者为中心的结果"。
IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-01 DOI: 10.3348/kjr.2024.0727
Mukesh Kumar Dharmalingam Jothinathan
{"title":"Letter to the Editor \"Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes\".","authors":"Mukesh Kumar Dharmalingam Jothinathan","doi":"10.3348/kjr.2024.0727","DOIUrl":"10.3348/kjr.2024.0727","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 10","pages":"934-935"},"PeriodicalIF":4.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142349330","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}
引用次数: 0
期刊
Korean Journal of Radiology
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