Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions

Hepatocellular carcinoma(HCC)is a leading cause of morbidity and mortality worldwide,with rising clinical and economic burden as incidence increases.There are a multitude of evolving treatment options,including locoregional therapies which can be used alone,in combination with each other,or in combination with systemic therapy.These treatment options have shown to be effective in achieving remission,controlling tumor progression,improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients.Following locoregional therapy(LRT),it is crucial to provide treatment response assessment to guide management and liver transplant candidacy.Therefore,Liver Imaging Reporting and Data Systems(LI-RADS)Treatment Response Algorithm(TRA)was created to provide a standardized assessment of HCC following LRT.LIRADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment.In this review,we provide an overview of different locoregional therapies for HCC,describe the expected post treatment imaging appearance following treatment,and review the LI-RADS TRA with guidance for its application in clinical practice.Unique to other publications,we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT.

Effect of training on resident inter-reader agreement with American College of Radiology Thyroid Imaging Reporting and Data System

BACKGROUND The American College of Radiology Thyroid Imaging Reporting and Data System(ACR TI-RADS)was introduced to standardize the ultrasound characterization of thyroid nodules.Studies have shown that ACR-TIRADS reduces unnecessary biopsies and improves consistency of imaging recommendations.Despite its widespread adoption,there are few studies to date assessing the inter-reader agreement amongst radiology trainees with limited ultrasound experience.We hypothesize that in PGY-4 radiology residents with no prior exposure to ACR TIRADS,a statistically significant improvement in inter-reader reliability can be achieved with a one hour training session.AIM To evaluate the inter-reader agreement of radiology residents in using ACR TIRADS before and after training.METHODS A single center retrospective cohort study evaluating 50 thyroid nodules in 40 patients of varying TI-RADS levels was performed.Reference standard TI-RADS scores were established through a consensus panel of three fellowship-trained staff radiologists with between 1 and 14 years of clinical experience each.Three PGY-4 radiology residents(trainees)were selected as blinded readers for this study.Each trainee had between 4 to 5 mo of designated ultrasound training.No trainee had received specialized TI-RADS training prior to this study.Each of the readers independently reviewed the 50 testing cases and assigned a TI-RADS score to each case before and after TI-RADS training performed 6 wk apart.Fleiss kappa was used to measure the pooled inter-reader agreement.The relative diagnostic performance of readers,pre-and post-training,when compared against the reference standard.RESULTS There were 33 females and 7 males with a mean age of 56.6±13.6 years.The mean nodule size was 19±14 mm(range from 5 to 63 mm).A statistically significant superior inter-reader agreement was found on the post-training assessment compared to the pre-training assessment for the following variables:1.“Shape”(k of 0.09[slight]pre-training vs 0.67[substantial]post-training,P<0.001),2.“Echogenic foci”(k of 0.28[fair]pre-training vs 0.45[moderate]post-training,P=0.004),3.‘TI-RADS level’(k of 0.14[slight]pre-training vs 0.36[fair]post-training,P<0.001)and 4.‘Recommendations’(k of 0.36[fair]pre-training vs 0.50[moderate]post-training,P=0.02).No significant differences between the preand post-training assessments were found for the variables'composition','echogenicity'and'margins'.There was a general trend towards improved pooled sensitivity with TI-RADS levels 1 to 4 for the post-training assessment while the pooled specificity was relatively high(76.6%-96.8%)for all TI-RADS level.CONCLUSION Statistically significant improvement in inter-reader agreement in the assigning TI-RADS level and recommendations after training is observed.Our study supports the use of dedicated ACR TI-RADS training in radiology residents.

Contrast-enhanced ultrasound improved performance of breast imaging reporting and data system evaluation of critical breast lesions

AIM: To determine whether contrast-enhanced ultrasound(CEUS) can improve the precision of breast imaging reporting and data system(BI-RADS) categorization. METHODS: A total of 230 patients with 235 solid breast lesions classified as BI-RADS 4 on conventional ultrasound were evaluated. CEUS was performed within one week before core needle biopsy or surgical resection and a revised BI-RADS classification was assigned based on 10 CEUS imaging characteristics. Receiver operating characteristic curve analysis was then conducted to evaluate the diagnostic performance of CEUS-based BI-RADS assignment with pathological examination as reference criteria. RESULTS: The CEUS-based BI-RADS evaluation classified 116/235(49.36%) lesions into category 3, 20(8.51%), 13(5.53%) and 12(5.11%) lesions into categories 4A, 4B and 4C, respectively, and 74(31.49%) into category 5. Selecting CEUS-based BI-RADS category 4A as an appropriate cut-off gave sensitivity and specificity values of 85.4% and 87.8%, respectively, for the diagnosisof malignant disease. The cancer-to-biopsy yield was 73.11% with CEUS-based BI-RADS 4A selected as the biopsy threshold compared with 40.85% otherwise, while the biopsy rate was only 42.13% compared with 100% otherwise. Overall, only 4.68% of invasive cancers were misdiagnosed.CONCLUSION: This pilot study suggests that evaluation of BI-RADS 4 breast lesions with CEUS results in reduced biopsy rates and increased cancer-to-biopsy yields.

Predictive model for contrast-enhanced ultrasound of the breast: Is it feasible in malignant risk assessment of breast imaging reporting and data system 4 lesions?

AIM: To build and evaluate predictive models for contrast-enhanced ultrasound(CEUS) of the breast to distinguish between benign and malignant lesions. METHODS: A total of 235 breast imaging reporting and data system(BI-RADS) 4 solid breast lesions were imaged via CEUS before core needle biopsy or surgical resection. CEUS results were analyzed on 10 enhancing patterns to evaluate diagnostic performance of three benign and three malignant CEUS models, with pathological results used as the gold standard. A logistic regression model was developed basing on the CEUS results, and then evaluated with receiver operating curve(ROC). RESULTS: Except in cases of enhanced homogeneity, the rest of the 9 enhancement appearances were statistically significant(P < 0.05). These 9 enhancement patterns were selected in the final step of the logistic regression analysis, with diagnostic sensitivity and specificity of 84.4% and 82.7%, respectively, and the area under the ROC curve of 0.911. Diagnostic sensitivity, specificity, and accuracy of the malignant vs benign CEUS models were 84.38%, 87.77%, 86.38% and 86.46%, 81.29% and 83.40%, respectively. CONCLUSION: The breast CEUS models can predict risk of malignant breast lesions more accurately, decrease false-positive biopsy, and provide accurate BIRADS classification.

Magnetic resonance imaging ancillary features used in Liver Imaging Reporting and Data System:An illustrative review

Hepatocellular carcinoma (HCC) usually develops in the setting of chronic liver disease. In the adequate clinical context, both multiphasic contrast-enhanced CT and magnetic resonance imaging are non-invasive modalities that allow accurate diagnosis and staging of HCC, although the latter demonstrates greater sensitivity and specificity. Imaging criteria for HCC diagnosis rely on hemodynamic features such as hyperenhancement in the arterial phase and washout in the portal or equilibrium phase. However, imaging performance drops considerably for small (< 20 mm) nodules because their tendency to exhibit atypical enhancement patterns. In order to improve accuracy in the diagnosis and staging of HCC, particularly in cases of atypical nodules, ancillary features, i.e., imaging characteristics that modify the likelihood of HCC, have been described and incorporated into clinical reports, especially in Liver Imaging Reporting and Data System. In this paper, ancillary imaging features will be reviewed and illustrated.

BRAF^(V600E) vs. TIRADS in predicting papillary thyroid cancers in Bethesda system Ⅰ, Ⅲ, and Ⅴ nodules

Objective: Bethesda System for Reporting Thyroid Cytopathology(BSRTC) categories Ⅰ, Ⅲ, and Ⅴaccount for a significant proportion of fine needle aspiration cytology(FNAC) diagnoses. This study aimed to compare the diagnostic efficacy of BRAF^(V600E) mutation and the Thyroid Imaging Reporting and Data System(TIRADS) classification in differentiating papillary thyroid cancers(PTCs) from benign lesions among BSRTC I, III, and V nodules.Methods: A total of 472 patients with 479 nodules were enrolled in this prospective study. Ultrasound, BRAF^(V600E) mutation testing, and FNAC were performed in each nodule, followed by surgery or regular ultrasound examination.Results: In the BSRTC I category, BRAF^(V600E) showed similar sensitivity, higher specificity, and lower accuracy when compared with TIRADS. In the BSRTC III/V category, the sensitivity, specificity, and accuracy of BRAF^(V600E) were similar to those of TIRADS. In comparison to BRAF^(V600E) alone, the combination of the two methods significantly improved sensitivity(BSRTC Ⅰ:93.6% vs. 67.7%, P < 0.01; BSRTC Ⅲ: 93.8% vs. 75.0%, P < 0.01; BSRTC V: 96.0% vs. 85.3%, P < 0.001). When compared with TIRADS alone, the combination improved sensitivity in BSRTC Ⅰ nodules(93.6% vs. 74.2%, P < 0.05), increased sensitivity and decreased accuracy in BSRTC III nodules(93.8% vs. 75.0%, P < 0.01, 91.0% vs. 93.6%, P < 0.01), and improved both sensitivity and accuracy in BSRTC V nodules(96.0% vs. 82.0%, P < 0.001; 94.2% vs. 81.3%, P < 0.001).Conclusions: BRAF^(V600E) exhibited higher specificity and lower accuracy compared with TIRADS in BSRTC Ⅰ nodules, while the two methods showed similar diagnostic value in BSRTC Ⅲ/Ⅴ nodules. The combination of the two methods distinctly improved sensitivity in the diagnosis of PTCs in BSRTC Ⅰ, Ⅲ, and Ⅴ nodules.

Hepatocellular carcinoma: Can LI-RADS v2017 with gadoxetic-acid enhancement magnetic resonance and diffusion-weighted imaging improve diagnostic accuracy?

BACKGROUND The Liver Imaging Reporting and Data System(LI-RADS), supported by the American College of Radiology(ACR), has been developed for standardizing the acquisition, interpretation, reporting, and data collection of liver imaging examinations in patients at risk for hepatocellular carcinoma(HCC). Diffusionweighted imaging(DWI), which is described as an ancillary imaging feature of LI-RADS, can improve the diagnostic efficiency of LI-RADS v2017 with gadoxetic acid-enhanced magnetic resonance imaging(MRI) for HCC.AIM To determine whether the use of DWI can improve the diagnostic efficiency of LIRADS v2017 with gadoxetic acid-enhanced magnetic resonance MRI for HCC.METHODS In this institutional review board-approved study, 245 observations of high risk of HCC were retrospectively acquired from 203 patients who underwent gadoxetic acid-enhanced MRI from October 2013 to April 2018. Two readers independently measured the maximum diameter and recorded the presence of each lesion and assigned scores according to LI-RADS v2017. The test was used to determine the agreement between the two readers with or without DWI. In addition, the sensitivity(SE), specificity(SP), accuracy(AC), positive predictive value(PPV), and negative predictive value(NPV) of LI-RADS were calculated.Youden index values were used to compare the diagnostic performance of LIRADS with or without DWI.RESULTS Almost perfect interobserver agreement was obtained for the categorization of observations with LI-RADS(kappa value: 0.813 without DWI and 0.882 with DWI). For LR-5, the diagnostic SE, SP, and AC values were 61.2%, 92.5%, and71.4%, respectively, with or without DWI; for LR-4/5, they were 73.9%, 80%, and75.9% without DWI and 87.9%, 80%, and 85.3% with DWI; for LR-4/5/M, they were 75.8%, 58.8%, and 70.2% without DWI and 87.9%, 58.8%, and 78.4% with DWI; for LR-4/5/TIV, they were 75.8%, 75%, and 75.5% without DWI and 89.7%,75%, and 84.9% with DWI. The Youden index values of the LI-RADS classification without or with DWI were as follows: LR-4/5: 0.539 vs 0.679; LR-4/5/M: 0.346 vs 0.467; and LR-4/5/TIV: 0.508 vs 0.647.CONCLUSION LI-RADS v2017 has been successfully applied with gadoxetate-enhanced MRI for patients at high risk for HCC. The addition of DWI significantly increases the diagnostic efficiency for HCC.

Electronic Synoptic Reporting of Thyroid Nodules: Potential for Reduction in Number of Patients Undergoing Thyroid Nodule Biopsies

Purpose: The objective of the study was to design and implement an electronic synoptic report for thyroid sonography that incorporates the thyroid imaging reporting and data system (TIRADS) and assess potential for reducing unnecessary fine needle aspiration biopsies (FNAB) of thyroid nodules. Methods: The electronic synoptic report was developed using a relational database based on elements from TIRADS and a multidisciplinary consensus statement for thyroid reporting. A retrospective analysis of 138 patients with previously reported thyroid sonographic exams was evaluated for the presence of these elements. The electronic synoptic report calculates the TIRADS score and generates a formal report. Using the TIRADS score the potential decrease in unnecessary FNAB was estimated. Results: Key TIRADS elements were variously reported ranging from 43% for the thyroid nodule’s architecture as solid or cystic. Thyroid nodule echogenicity and calcification was commented in 27% and 23%, respectively. Other features of the TIRADS score were commented in 0% to 8% of the official reports. Estimated reduction for potentially reduced need for FNAB was 34.5%. Conclusions: This study is the first implementation of synoptic reporting using a relational database for sonography of thyroid nodules. Implementation of an electronic standardized synoptic reporting system may facilitate more accurate, and more comprehensive reporting for thyroid ultrasound scanning of thyroid nodules. The use of TIRADS was estimated to be able to potentially reduce the need for FNAB which was significant.

不同观察者基于卵巢-附件影像报告和数据系统诊断卵巢附件肿块的一致性研究

目的 探讨不同年资超声医师使用卵巢-附件影像报告和数据系统(O-RADS)判读观察指标的一致性,以及对卵巢附件肿块的诊断效能评价。方法 选取经手术组织学病理确诊的244例(304个病灶)卵巢附件肿块患者的超声存储图像。2位不同年资超声医师按照O-RADS分类标准对每个肿块进行观察指标盲读,进行O-RADS分类。对照病理结果,采用Kappa检验评估一致性,构建ROC曲线,分析两者诊断卵巢肿块的诊断效能。结果 2位不同年资超声医师根据O-RADS分类标准对卵巢附件肿块外部轮廓、内部回声、血流信号、腹水以及腹膜增厚或腹膜结节5项观察指标判读的一致性检验Kappa值分别为0.748、0.835、0.652、0.973、0.979,差异有统计学意义(P<0.001);2位超声医师对同一肿块O-RADS分类一致性检验Kappa值为0.795,差异有统计学意义(P<0.001);2位医师O-RADS分类的ROC曲线面积为0.897、0.918,准确率为80.92%、80.92%,灵敏度为77.3%、76.7%,特异度为88.3%、91.5%,差异均无统计学意义(P>0.05)。结论 不同年资超声医师对O-RADS观察指标判读具有较高一致性;O-RADS分类标准对卵巢肿块的诊断也具有较高诊断效能。

前列腺影像报告和数据系统2.1版联合前列腺特异性抗原密度对特异性抗原灰区前列腺临床显著癌的诊断价值

目的基于双中心数据,探讨前列腺影像报告和数据系统2.1版(PI-RADS v2.1)联合前列腺特异性抗原密度(PSAD)在前列腺特异性抗原(PSA)灰区(4~10 ng/ml)患者中对临床显著性前列腺癌(csPCa)的诊断价值。资料与方法回顾性分析2017年1月—2022年5月解放军总医院第一医学中心(中心一)和解放军总医院第六医学中心(中心二)行多参数磁共振成像且具备病理结果的PSA灰区前列腺疾病患者的临床及影像资料。将中心一患者作为训练组(220例),中心二患者作为测试组(50例)。训练组应用Logistic回归确定csPCa的独立预测因素,并分析多参数组合对csPCa的诊断效能,在测试组进行验证。结果训练组csPCa和非csPCa组前列腺体积、PSAD、PI-RADS v2.1评分差异有统计学意义(Z=-6.468、6.589、75.676,P均<0.001);Logistic回归分析显示PI-RADS v2.1评分和PSAD是csPCa的独立危险因素(P均<0.001)。训练组和测试组PI-RADS v2.1+PSAD组成的Logistic回归模型预测PSA灰区csPCa的曲线下面积为0.860(95%CI 0.808~0.903)、0.906(95%CI 0.790~0.970);Logistic回归模型的曲线下面积高于PI-RADS v2.1和PSAD,差异有统计学意义(P均<0.05)。当PI-RADS v2.1评分为低或中危组且PSAD<0.15 ng/ml^(2)时,训练组和测试组的csPCa检出率较低。结论PI-RADS v2.1评分和PSAD是预测PSA灰区csPCa的独立危险因素,两者联合应用对PSA灰区csPCa的诊断效能优于两者单独应用,有助于临床活检决策。

超声乳腺影像报告和数据系统联合患者年龄鉴别良性与交界性/恶性乳腺叶状肿瘤

目的观察超声乳腺影像报告和数据系统(BI-RADS)联合患者年龄鉴别良性与交界性/恶性乳腺叶状肿瘤(PTB)的价值。方法回顾性分析74例经乳腺超声检查及术后病理证实的PTB女性患者共76个病灶,包括良性57个、交界性14个及恶性5个,比较3种病变患者年龄及其超声BI-RADS分类,观察以单一年龄、超声BI-RADS及其联合鉴别诊断价值。结果良性、交界性及恶性PTB之间,患者年龄及超声BI-RADS分类差异均有统计学意义(P=0.026、0.015)。以44.5岁、超声BI-RADS 4B类及其联合鉴别良性与交界性/恶性PTB的敏感度分别为94.74%、36.84%及73.68%,特异度分别为56.36%、87.27%及72.73%,曲线下面积分别为0.769、0.649及0.780。结论超声BI-RADS分类联合患者年龄有助于鉴别良性与交界性/恶性PTB。

颈部影像报告和数据系统在MRI诊断早期单纯黏膜型鼻咽癌局部复发中的应用

目的探讨颈部影像报告和数据系统(neck imaging reporting and data systems,NI-RADS)MRI对单纯黏膜型鼻咽癌局部复发(exclusive mucosal local recurrent nasopharyngeal carcinoma,EMLRNPC)与黏膜治疗后改变(mucosal posttreatment changes,MPTC)的诊断价值,尝试为NI-RADS MRI词典中的局灶性黏膜异常建议附加定性扩散加权成像(diffusion-weighted imaging,DWI)标准。材料与方法回顾性分析2015年2月至2023年2月经病理或影像随访确诊的21例EMLRNPC和29例MPTC。先由2名影像医师独立评价MRI表现,进行NI-RADS MRI分类,再进行附加定性DWI标准的改良NI-RADS MRI分类,3个月后,由其中的1名高年资影像医师再次进行分类。采用Cohen’s Kappa检验评估观察者间、观察者内NI-RADS分类一致性。绘制受试者工作特征(receiver operating characteristic,ROC)曲线评价这两种NI-RADS分类对EMLRNPC与MPTC的诊断效能,曲线下面积(area under the curve,AUC)的比较采用DeLong检验。结果NI-RADS MRI、改良NI-RADS MRI的分类观察者间与观察者内一致性为0.69与0.88、0.83与0.96。NI-RADS MRI和改良NI-RADS MRI鉴别诊断ELRNPC与MPTC的AUC、敏感度、特异度为0.845[95%置信区间(confidence interval,CI):0.715~0.932]、100.0%(95%CI:83.9%~100.0%)、69.0%(95%CI:49.2%~84.7%)和0.966(95%CI:0.871~0.997)、100.0%(95%CI:83.9%~100.0%)、93.1%(95%CI:77.2%~99.2%),两种分类的AUC间差异有统计学意义(Z=2.985,P=0.003)。结论NI-RADS MRI与附加定性DWI标准的改良NI-RADS MRI对EMLRNPC与MPTC均具有较高的鉴别诊断价值,改良NI-RADS MRI分类的诊断效能、一致性更高。

2 cm以上的C-TI-RADS 3类甲状腺结节的临床特点分析

目的统计2 cm以上的中国版甲状腺影像报告及数据系统(C-TI-RADS)3类甲状腺结节的临床特点,并探究其与性别、结节成分、对侧是否有癌、是否弥漫性回声改变、甲状腺过氧化物酶抗体(thyroid peroxidase antibody,TPOAB)、甲状腺球蛋白抗体(anti-thyroglobulin antibodies,TGAB)等的相关性。方法回顾性分析2022年9月-2023年3月我科收治的甲状腺超声C-TI-RADS 3类且最大直径≥2 cm的94例甲状腺结节患者(均接受细胞病理和/或组织病理检查)的临床病理学信息。统计TBSⅠ类、良性、低风险肿瘤、恶性的比例,并比较性别、结节成分、对侧是否有癌、是否弥漫性回声改变、TPOAB、TGAB等临床特点在良性、低风险肿瘤、恶性三组中的比例有无统计学差异。结果排除7例TBSⅠ类患者,87例结节病理明确患者中,良性72例(细胞学38例、组织学34例)、低风险肿瘤5例(细胞学2例、组织学3例)、恶性10例(PTC 8例、FTC 1例、MTC 1例)。不同病理类型之间,结节成分(囊实性/实性)组间差异具有显著性,差异有统计学意义(χ^(2)=10.369,P=0.006);性别、是否弥漫性回声改变、对侧是否有癌、TPOAB、TGAB组间差异无统计学意义(P均>0.05)。进一步分析结节成分与病理类型的关系,结果表明,低风险肿瘤相对于良性结节实性比例更高,差异有统计学意义(χ^(2)=9.571,P=0.002);而恶性结节相对于低风险肿瘤(χ^(2)=2.143,P=0.143),恶性结节相对于良性结节(χ^(2)=2.165,P=0.141)囊实性比例差异均无统计学意义。结论虽然各种版本的甲状腺影像报告与数据系统均将TI-RADS 3级结节认定为良性可能,但恶性结节在C-TI-RADS 3类甲状腺结节中仍占一定比例,需要重视诸如囊实性结节、甲状腺滤泡性肿瘤、甲状腺髓样癌等超声征象不典型的甲状腺结节。在评估结节良恶性时,超声引导下细针穿刺细胞病理学检查是必要的,需要重视标本不满意或无法诊断的情况,提高诊断的准确性。

超声C-TIRADS联合血清miR-107检测对甲状腺结节性质的诊断价值

目的探讨超声甲状腺影像报告和数据系统(C-TIRADS)联合血清微小RNA-107(miR-107)检测对甲状腺结节性质的诊断价值。方法选取2022年4月至2024年1月新疆医科大学附属肿瘤医院患甲状腺结节的患者98例(共113个结节)作为研究对象,均进行C-TIRADS分类,并检测血清miR-107水平。根据手术病理是否出现恶性结节分恶性组、良性组。分析超声C-TIRADS分类、血清miR-107水平与甲状腺结节良恶性的关系及其对甲状腺结节的诊断价值,并进行校准曲线分析。结果98例甲状腺结节患者(113个结节)中有83个良性结节,包括结节性甲状腺肿49个、甲状腺腺瘤24个、桥本甲状腺炎10个,其余30个恶性结节均为甲状腺乳头状癌。恶性结节均位于包膜下,结节内部钙化,C-TIRADS分类为4b或4c。恶性组患者血清miR-107水平高于良性组(P<0.05)。行Logistic多因素回归分析结果显示结节位置位于包膜下、结节内部钙化、C-TIRADS分类为4b或4c、miR-107是恶性甲状腺结节的独立危险因素(P<0.05)。超声C-TIRADS联合血清miR-107水平诊断甲状腺结节性质的曲线下面积(AUC)值为0.907,大于二者单独诊断甲状腺结节性质的AUC值(0.702和0.835)(Z=3.300,P=0.001;Z=2.410,P=0.016)。超声C-TIRADS联合血清miR-107水平诊断甲状腺结节性质的预测值与真实值一致性较好,Brier得分为0.114,校准斜率为0.809,校准度良好。结论超声C-TIRADS联合血清miR-107水平在诊断甲状腺结节性质方面具有较高临床应用价值。

深度学习联合C-TIRADS在甲状腺4a类结节风险分层管理的应用

目的探讨深度学习联合中国超声甲状腺影像报告和数据系统(C-TIRADS)在甲状腺4a类结节风险分层管理的应用。方法纳入陕西省人民医院2018年12月~2022年10月收治的179例甲状腺结节患者,依据病理结果分为良性组(n=76)与恶性组(n=103),所有患者均予以超声检查,按照C-TIRADS指南标准、深度学习进行观察诊断。利用多因素Logistic回归分析获取独立预测指标;利用ROC曲线评估预测变量准确性。结果多因素Logistic分析显示,甲状腺结节图像特征的结构、方位、边缘、回声、局灶性强回声及年龄是独立预测甲状腺结节性质的指标(P<0.05)。以病理结果为金标准,深度学习联合C-TIRADS与病理结果完全符合率为96.65%,Kappa值为0.932,一致性好;联合诊断甲状腺4a类结节的符合率、特异度、阳性预测值显著高于深度学习、C-TIRADS(P<0.05)。联合诊断疾病的敏感度、阴性预测值高于深度学习(P<0.001),但与C-TIRADS的差异无统计学意义(P<0.05)。ROC曲线分析显示,C-TIRADS、深度学习及联合诊断的AUC分别为0.873、0.819、0.967;与Az=0.5相比,差异有统计学意义(P<0.001)。结论C-TIRADS在甲状腺4a类结节风险分层管理中敏感性较高,结合深度学习辅助诊断能够准确进行甲状腺结节良恶性鉴别,具备较高诊断效能。

基于临床与超声特征构建的列线图模型在超声医师修饰甲状腺中国(超声)甲状腺影像报告和数据系统分类结果中的应用价值

目的分析基于甲状腺临床与超声特征构建的列线图模型在超声医师修饰甲状腺中国(超声)甲状腺影像报告和数据系统(C-TI-RADS)分类结果中的应用价值。方法回顾性分析2021年1月—2022年12月四川省人民医院(训练集,n=841)以及四川绵阳四0四医院(外部验证集,n=295)外科手术切除的甲状腺结节患者的临床病理及超声资料,并利用术前甲状腺超声进行甲状腺结节C-TI-RADS分类。通过单因素及多因素Logistic回归分析在训练集中筛选独立预测因子并构建列线图模型,通过Bootstrap重抽样进行内部验证;四川绵阳四0四医院超声医师根据构建的列线图模型进行外部验证。绘制受试者工作特征(ROC)曲线及校准曲线,评估模型效能及在超声医师修饰C-TI-RADS分类结果中的临床价值。结果单因素及多因素Logistic回归分析结果显示,性别、年龄、结节最大径、结节数目、颈部淋巴结超声异常和C-TI-RADS分类是预测超声医师修饰C-TI-RADS分类结果的独立因素(P<0.05)。基于上述因素构建的列线图模型的一致性指数为0.842(95%CI:0.816~0.867),曲线下面积(AUC)为0.842,基于最佳截断值的敏感度为92.9%,特异度为63.7%,准确率为75.9%。在训练集和外部验证集中,构建的列线图模型的预测结果与实际情况均具有较好的一致性。结论基于甲状腺临床与超声特征构建的列线图模型在超声医师修饰C-TI-RADS分类结果中显示出良好的预测准确性,具有潜在的临床应用价值。

双参数与多参数MRI对前列腺特异性抗原灰区临床显著性前列腺癌诊断效能比较

目的探讨基于前列腺影像报告与数据系统2.1版(PI-RADS v2.1)的双参数MRI(bpMRI)与多参数MRI(mpMRI)对前列腺特异性抗原(PSA)灰区(PSA 4~10 ng/mL)临床显著性前列腺癌(csPCa)的诊断效能。方法回顾性纳入2家医疗中心接受前列腺活检术并完成MRI检查的PSA灰区病人270例(中心1,220例;中心2,50例),分析病人的临床及MRI影像资料。根据Gleason评分将病人分为csPCa组(177例)和非csPCa组(93例)。基于PI-RADS v2.1标准,根据bpMRI(T2WI、DWI)与mpMRI(T2WI、DWI和DCE-MRI)对每例病人的病灶进行评分。采用独立样本t检验、Mann-Whitney U检验、χ2检验比较2组病人的一般资料[年龄、PSA、前列腺体积(PV)、PSA密度(PSAD)]、bpMRI评分和mpMRI评分。以前列腺活检病理结果为标准,绘制受试者操作特征(ROC)曲线,计算其曲线下面积(AUC)、敏感度、特异度、准确度。采用DeLong检验比较2种评分方法对csPCa的诊断效能。采用McNemar检验比较2种评分方法的敏感度和特异度。采用Kappa检验分析2名医师评估bpMRI和mpMRI评分的一致性。结果相比非csPCa组,csPCa组的PV更小、PSAD更高(均P<0.05)。csPCa组中bpMRI与mpMRI评分为4-5分病人的占比更高(76.8%和85.3%),非csPCa组中1-3分病人的占比更高(78.5%和74.2%)。bpMRI与mpMRI评分诊断csPCa的AUC值差异无统计学意义(P>0.05)。bpMRI的敏感度低于mpMRI(76.8%和85.3%,P<0.05),而特异度高于mpMRI(78.5%和74.2%,P<0.05)。bpMRI和mpMRI评分的阅片者间一致性均较好(κ=0.68和κ=0.67)。结论基于PI-RADS v2.1,bpMRI评分与mpMRI评分对PSA灰区csPCa的诊断效能相近。

阈值增长对肝细胞癌的诊断效能

目的:探讨肝脏影像报告和数据系统2018版(LI-RADS v2018)中的主要征象阈值增长(TG)对肝细胞癌(HCC)的诊断效能。方法:回顾性分析首诊、随访均行MRI检查,且首诊病灶为LI-RADS 2~4类的肝硬化患者215例。记录TG出现率及LI-RADS分类调整情况。对TG不作为及作为主要征象的病灶分别进行LI-RADS分类。通过计算诊断优势比(DOR)确定TG与HCC诊断的相关性。以术后病理或临床诊断为金标准,以LI-RADS 5类为诊断HCC的标准,分别计算TG不作为及作为主要征象的诊断效能。结果:215例患者共253个病灶,其中HCC 157个、非HCC恶性肿瘤21个、良性病变75个。HCC中TG的出现率为32.5%(51/157),TG与HCC显著相关,DOR值为5.29(95%CI 2.39~11.75)(P<0.001)。当TG不作为主要征象时,51个HCC分类为LI-RADS 3类15个、LI-RADS 4类6个、LI-RADS 5类28个、LI-RADS M类2个。当TG作为主要征象时,21个HCC分类发生调整,其中15个LI-RADS 3类上调至LI-RADS 5类[最大径10~19 mm+非环状动脉期高强化(APHE)],6个LI-RADS 4类上调至LI-RADS 5类(最大径10~19 mm+非环状APHE+强化包膜1个,最大径≥20 mm+非环状APHE 5个)。以LI-RADS 5类为标准诊断HCC,TG作为主要征象与不作为主要征象相比,敏感度(75.2%vs.61.8%,P<0.001)、准确率(83.0%vs.75.5%,P<0.001)更高,特异度(95.8%vs.97.9%,P=0.683)相似。结论:TG与HCC显著相关,TG作为LI-RADS v2018中的主要征象之一可提高HCC(尤其表现为非环状APHE+TG)的诊断敏感度和准确率。

增强MRI采用LI-RADS v2018对肝细胞癌的诊断效能

目的:探讨增强MRI采用2018版肝脏影像报告和数据系统(LI-RADS)在高危人群中对肝细胞癌(HCC)的诊断效能。方法:回顾性分析本院2017年至2022年经病理证实的69例HCC患者,并且行MRI增强检查。基于LI-RADS v2018,对每个病灶MRI图像的主要/辅助征象进行评价及LI-RADS分类。以病理结果为金标准,评价增强MRI采用LI-RADS v2018对HCC的诊断效能。采用组内相关系数(ICC)评价阅片者的一致性。结果:3位阅片者间LI-RADS分类的ICC值为0.782(95%可信区间0.713~0.841)。基于LI-RADS v2018,以LR-5为诊断标准,MRI阅片者1诊断HCC的敏感度、特异度和准确率分别为83.9%、70.4%和79.8%;阅片者2分别为80.6%、74.1%和78.7%;阅片者3分别为80.6%、77.8%和79.8%。以LR-4联合LR-5为诊断标准,阅片者1诊断HCC的敏感度、特异度和准确率分别为93.5%、63.0%和84.3%,阅片者2分别为90.3%、66.7%和83.1%,阅片者3分别为91.9%、66.7%和84.3%。结论:基于LI-RADS v2018,增强MRI在高危人群中诊断HCC具有较高的诊断价值。

C-TIRADS与K-TIRADS对甲状腺结节良恶性鉴别诊断的对比分析

目的:对比分析中国甲状腺影像报告和数据系统(C-TIRADS)和韩国TIRADS(K-TIRADS)两种甲状腺影像报告与数据系统对甲状腺结节良恶性鉴别诊断的价值。方法:回顾性分析2017年3月—2023年3月在青岛大学附属泰安市中心医院经组织病理学证实的582个甲状腺结节的超声图像。分别按照C-TIRADS、K-TIRADS标准进行分类,以病理结果作为金标准,分析两种方法的诊断效能。结果:所得到的两种方法各分层的甲状腺结节的实际恶性率与指南所推荐的恶性率一致。C-TIRADS与K-TIRADS的AUC面积分别为0.899、0.897,两者比较差异无统计学意义(P>0.05)。C-TIRADS最佳截断值为4B类,K-TIRADS最佳截断值为5类。两者的灵敏度、特异度分别为0.925、0.872;0.818、0.889。结论:C-TIRADS与K-TIRADS对甲状腺结节的良恶性鉴别诊断均具有较高的价值,诊断效能相当,C-TIRADS更适合中国国情。