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Objective:To explore the diagnostic value of contrast-enhanced mammography (CEM) and MRI in differentiating benign and malignant breast lesions based on the 2013 breast imaging reporting and data system (BI-RADS) lexicon and the supplement on CEM.Methods:The clinical and imaging data of 83 patients with breast lesions from March 2019 to April 2022 in the Third Affiliated Hospital of Soochow University were retrospectively analyzed. Totally 100 breast lesions from 83 female patients aged 28 to 78 (49±14) years, were divided into benign lesions (50 lesions) and malignant lesions (50 lesions) according to the pathological results. The t-test, χ 2 test and Fisher′s exact test were used to compare the differences of clinical and imaging features between benign and malignant lesions, and these imaging features which had statistical differences were established CEM and MRI models by multivariate logistic regression analysis respectively. The receiver operating characteristic curves and the area under the curve (AUC) were used to assess the diagnostic efficacy of two models in differentiating benign and malignant breast lesions. Using the DeLong test compared the AUC. Results:Multivariate logistic regression analysis showed that associated features (OR=9.075,95%CI 1.430-57.570, P=0.019), lesion conspicuity (OR=6.180,95%CI 2.608-14.646, P<0.001), mass margin (OR=2.193,95%CI 1.405-3.422, P=0.001) and calcification distribution (OR=2.147,95%CI 1.157-3.986, P=0.015) were independent predictors of differentiating benign and malignant breast lesions in CEM, and then the predictive model of CEM was constructed. Time-signal intensity curve (OR=9.230, 95%CI 3.178-26.805, P<0.001), associated features (OR=5.289,95%CI 1.343-20.831, P=0.017) and mass margin (OR=2.192,95%CI 1.336-3.597, P=0.002) were independent predictors of differentiating benign and malignant breast lesions in MRI, and the predictive model of MRI was constructed. The AUC of CEM and MRI models for differentiating benign and malignant breast lesions were 0.947 and 0.930 respectively, and two models were no significant difference ( Z=0.68, P=0.494). Conclusion:The diagnostic efficacy of CEM and MRI in differentiating benign and malignant breast lesions is comparable based on the 2013 BI-RADS lexicon and the supplement on CEM.
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Objective:To evaluate the value of radiomics based on contrast-enhanced spectral mammography (CESM) of internal and peripheral regions combined with clinical factors in predicting benign and malignant breast lesions of breast imaging reporting and data system category 4 (BI-RADS 4).Methods:A retrospective analysis was performed on the clinical and imaging data of patients with breast lesions who were treated in Yantai Yuhuangding Hospital (Center 1) Affiliated to Qingdao University from July 2017 to July 2020 and in Fudan University Cancer Hospital (Center 2) from June 2019 to July 2020. Center 1 included 835 patients, all female, aged 17-80 (49±12) years, divided into training set (667 cases) and test set (168 cases) according to the "train-test-split" function in Python software at a ratio of 8∶2; and 49 patients were included from Center 2 as external validation set, all female, aged 34-70 (51±8) years. The radiomics features were extracted from the intralesional region (ITR), the perilesional regions of 5, 10 mm (PTR 5 mm, PTR10 mm) and the intra-and perilesional regions of 5, 10 mm (IPTR 5 mm, IPTR 10 mm) and were selected by variance filtering, SelectKBest algorithm, and least absolute shrinkage and selection operator. Then five radiomics signatures were constructed including ITR signature, PTR 5 mm signature, PTR 10 mm signature, IPTR 5 mm signature, IPTR 10 mm signature. In the training set, univariable and multivariable logistic regressions were used to construct nomograms by selecting radiomics signatures and clinical factors with significant difference between benign and malignant BI-RADS type 4 breast lesions. The efficacy of nomogram in predicting benign and malignant BI-RADS 4 breast lesions was evaluated by the receiver operating characteristic curve and area under the curve (AUC). Decision curve and calibration curve were used to evaluate the net benefit and calibration capability of the nomogram.Results:The nomogram included ITR signature, PTR 5 mm signature, PTR 10 mm signature, IPTR 5 mm signature, age, and BI-RADS category 4 subclassification for differentiating malignant and benign BI-RADS category 4 breast lesions and obtained AUCs of 0.94, 0.92, and 0.95 in the training set, test set, and external validation set, respectively. The calibration curve showed good agreement between the predicted probabilities and actual results and the decision curve indicated a good net benefit of the nomogram for predicting malignant BI-RADS 4 lesions in the training set, test set, and external validation set.Conclusion:The nomogram constructed from the radiomics features of the internal and surrounding regions of CESM breast lesions combined with clinical factors is attributed to differentiate benign from malignant BI-RADS category 4 breast lesions.
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Objective:To assess the value of S-Detect and contrast-enhanced ultrasound (CEUS) in the differential diagnosis of Breast Imaging Reporting and Data System(BI-RADS) 4 breast lesions.Methods:A total of 104 breast lesions in 100 patients diagnosed as BI-RADS category 4 by conventional ultrasound were prospectively enrolled, and all of them were received S-Detect and CEUS examination at the same time. Taking pathology as the gold standard, ROC curve was constructed to compare the diagnostic efficacy of conventional ultrasound, S-Detect, CEUS and their combination.Results:Among the 104 BI-RADS category 4 breast lesions, 63 were benign and 41 were malignant. The sensitivities of conventional ultrasound, S-Detect, CEUS and S-Detect combined with CEUS were 73.17%, 87.80%, 87.80%, 90.24%; the specificities were 57.14%, 60.32%, 68.25%, 77.78%; the positive predictive values were 52.63%, 59.02%, 64.29% and 72.55%; the negative predictive values were 76.60%, 88.37%, 89.59% and 92.45%; the accuracies were 63.46%, 71.15%, 75.96% and 82.69%; and the areas under the ROC curve (AUC) were 0.652, 0.741, 0.780 and 0.840. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of S-Detect and CEUS diagnosis were improved compared with conventional ultrasound. The AUC of combined diagnosis was higher than that of S-Detect, CEUS alone, and the differences were statistically significant(all P<0.05). The AUC of CEUS was higher than that of conventional ultrasound, and the difference was statistically significant ( P<0.05). There were no significant differences in AUC between any two of other groups (all P>0.05). Conclusions:The combined application of S-Detect and CEUS could achieve complementary advantages, which is of great significance for the differential diagnosis of benign and malignant in BI-RADS 4 breast lesions.
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Objective:To investigate the correlation of hepatocellular carcinoma (HCC) classified by contrast-enhanced ultrasound (CEUS) Liver Imaging Data and Report System (LI-RADS) with differentiation degree and Ki-67 index.Methods:A multicenter, retrospective study was conducted.The clinical and CEUS imaging data of 208 patients with 208 HCC lesions from December 2017 to December 2020 in China CEUS database were included and analyzed. According to the CEUS LI-RADS version 2017 proposed by the American College of Radiology, the HCC was classified. The diagnosis and pathological information of all lesions were confirmed by pathology. The differentiation degree of HCC and the distribution of Ki-67 index in different LI-RADS categories were evaluated, and their correlation was analyzed.Results:The degree of differentiation and Ki-67 index among HCC of different CEUS LI-RADS were statistically significant ( P<0.001, P=0.009). LI-RADS M HCC was more likely to be poorly differentiated and showed a higher Ki-67 index. The category of LI-RADS was positively correlated with the degree of tumor differentiation (tau-b=-0.250, P<0.001) and the Ki-67 index (tau-b=0.178, P=0.002), that is, the higher the category of LI-RADS, the lower differentiation degree and the higher the Ki-67. Conclusions:The CEUS LI-RADS classification of HCC is correlating with the degree of differentiation and Ki-67 index.
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【Objective】 To investigate the risk factors and predictive effectiveness of prostate imaging reporting and data system (PI-RADS) score for patients with clinically significant prostate cancer (CsPCa) whose PI-RADS score was 3, so as to provide evidence for the diagnosis and treatment. 【Methods】 The clinical and multi-parameter magnetic resonance imaging (mpMRI) data of 153 CsPCa patients treated during Jan.2017 and Dec.2021 whose PI-RADS score was 3 were retrospectively analyzed. With PI-RADS score of 3 as the independent risk factor for CsPCa, the other relevant independent risk factors in predicting CsPCa were evaluated. 【Results】 Univariate and multivariate analyses showed that prostate-specific antigen (PSA) density and apparent dispersion coefficient (ADC) were independent risk factors for the diagnosis of CsPCa (P<0.05). Analysis of receiver operating characteristic (ROC) curve showed that combined PSA density and ADC were more effective than PSA density and ADC alone (P<0.05). 【Conclusion】 The combination of PSA density and ADC can guide clinicians to identify high-risk CsPCa patients from patients with PI-RADS score of 3 points.
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Objective:To observe the size changes under ultrasound of 4C type thyroid micronodules classified by 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS)during follow-up.Methods:In this cross-sectional study, the data of thyroid ultrasonography in physical examination center in the Affiliated Zhongshan Hospital of Dalian University between December 2017 and December 2021 were retrospectively included, thyroid nodules were classified according to C-TIRADS, to observe the changes by ultrasound of maximum diameter and volume of 4C type thyroid micronodules during follow-up.Results:A total of 102 subjects receiving physical examinations with 103 thyroid micronodules were enrolled in this study. The maximum diameter and volume of thyroid micronodules at initial examination was 5.0 (4.0, 7.0) mm and 52.5 (25.2, 113.4) mm 3 respectively, and it was 6.0 (4.0,7.0) mm、65.6 (25.2,147.0) mm 3 at the last examination, respectively. Of the thyroid micronodules, 79 (76.7%) remained stable, 14 (13.6%) magnified and 10 (9.7%) shrunk during the follow-up. The cervical lymph nodes in all physical examiners were normal. There were significant changes in the maximum diameter and volume in the thyroid micronodules between the initial and last examination in subjects whose micronodules shrunk or magnified during the follow-up (all P<0.05). Conclusion:Size of most C-TIRADS 4C thyroid micronodules remains stable or even decreases during ultrasound follow-up observation, for such thyroid nodules, follow-up observation appears to be a safe and feasible way to postpone surgery.
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This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
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Male , Humans , Prostate/pathology , Prostate-Specific Antigen/analysis , Prostatic Neoplasms/diagnostic imaging , Biopsy , Nomograms , Retrospective StudiesABSTRACT
Objective To evaluate the performance of contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) LR-5 in the diagnosis of hepatocellular carcinoma (HCC). Methods The clinical research reports with the application of CEUS LI-RADS in the diagnosis of HCC were collected from PubMed,Embase,Cochrane Library,CNKI,and Wanfang Data from inception to November 14,2021.Two researchers respectively screened the literature and extracted relevant information.The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) was used to evaluate the quality of all the included articles.RevMan 5.4,Meta disc 1.4,and Stata 16.0 were employed to analyze the diagnostic performance of LR-5 for HCC in high-risk patients. Results Twenty original studies were included,involving a total of 6131 lesions,of which 5142 were HCC.The results of meta-analysis showed that the LR-5 in CEUS LI-RADS for diagnosing HCC in the high-risk population had the overall sensitivity of 0.72 (95%CI=0.66-0.77),the overall specificity of 0.93 (95%CI=0.87-0.96),the overall positive likelihood ratio of 9.89 (95%CI=5.31-18.41),the overall negative likelihood ratio of 0.30 (95%CI=0.25-0.37),and the area under the summary receiver operating characteristic curve of 0.88 (95%CI=0.85-0.91).There was heterogeneity among the included studies (I2=95.31,P<0.001).The funnel plot indicated the existence of publication bias (P=0.04). Conclusion The CEUS LI-RADS can effectively diagnose HCC in high-risk patients based on the LR-5 criteria.
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Humans , Carcinoma, Hepatocellular/diagnostic imaging , Liver Neoplasms/diagnostic imaging , Diagnostic Imaging , UltrasonographyABSTRACT
Objective:To investigate the diagnostic efficiency of the 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) and the 2017 American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) in the diagnosis of benign and malignant thyroid nodules.Methods:A retrospective analysis of the two-dimensional ultrasound image results of 324 thyroid nodules in 289 patients with thyroid nodules and thyroid nodules were performed in the physical examination of the Health Management Department of the Guangdong Second Provincial General Hospital from January 2018 to January 2019. A superficial professional doctor with a senior professional title simultaneously uses the C-TIRADS and ACR-TIRADS methods to evaluate the above nodules. The results are all pathologically referenced for the χ2 test and the receiver operating characteristic curve is drawn. Results:The sensitivity of C-TIRADS in diagnosing benign and malignant thyroid nodules was 81.90%, specificity was 97.72%, accuracy was 92.59%, negative predictive value was 91.85%, positive predictive value was 84.51%; ACR-TIRADS diagnosis The sensitivity of benign and malignant thyroid nodules was 59.05%, specificity was 99.54%, accuracy was 86.42%, negative predictive value was 83.52%, and positive predictive value was 98.41%. The area under the ROC curve was 0.958 and 0.935( Z=2.31 P=0.021). Conclusion:C-TIRADS classification based on counting method is better than ACR-TIRADS classification based on sub-method in the diagnosis of thyroid nodules. It has better efficacy and is more suitable for the current status of diagnosis and treatment of thyroid nodules in China.
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Objective:To compare the diagnostic performance in the hepatocellular carcinoma(HCC) with cirrhosis between the 2017 version of liver imaging reporting and data system (LI-RADS v2017) and 2018 version of LI-RADS (LI-RADS v2018) based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI.Methods:Clinical data of 213 patients with 246 hepatic lesions with cirrhosis who underwent Gd-EOB-DTPA enhanced MRI in the Third Affiliated Nantong Hospital of Nantong University from October 2015 to July 2020 were retrospectively collected. The MRI major features and LR categories of lesions were respectively reviewed by two radiologists according to LI-RADS v2017 and LI-RADS v2018, respectively. Taking postoperative histopathological results or follow-up imaging as references, with the LR-5 and LR-4+LR-5 as the diagnosis of HCC, the sensitivity, specificity and accuracy of the LI-RADS v2017 and LI-RADS v2018 were evaluated, respectively. The McNemar test or Fisher exact test was used to compare the diagnostic performance between the two LI-RADS versions.Results:In 246 hepatic lesions, 165 were HCCs, 31 were non-HCC malignancies and 50 were benign lesions. Due to the threshold growth and more simplified definition and changes in the LR-5 classification criteria in LI-RADS v2018, the categories of 38 (15.4%, 38/246) lesions were changed. The threshold growths of 84.6% (33/39) lesions in v2017 were reclassified to subthreshold growth in v2018. Using LI-RADS v2018, 10 lesions were down-categorized compared with LI-RADS v2017, including LR-5 to LR-4 in 7 lesions and LR-4 to LR-3 in 3 lesions, and 28 lesions were up-categorized LR-4 to LR-5, in which 25 were small HCC. With LR-5 as the diagnosis criteria of HCC, the sensitivity and accuracy of LI-RADS v2018 were 66.7% (110/165) and 73.6% (181/246); and the sensitivity and accuracy of LI-RADS v2017 were 55.8% (92/165) and 67.5% (166/246), both with statistical differences (χ2=4.13, P=0.001, χ2=6.20, P<0.001). No significant difference was found in the specificity values of LI-RADS v2018 and v2017 [87.7% (71/81) vs. 91.4% (74/81)], χ2=0.59, P=0.442). Compared with v2017, LI-RADS v2018 increased the sensitivity in the diagnosis of small HCC lesions (10-19 mm) [62.9% (56/89) vs. 40.4% (36/89), χ2=9.00, P<0.001]. With LR-4+LR-5 as the diagnostic criteria of HCC, there was no significant difference in the sensitivity, specificity and accuracy of LI-RADS v2017 and v2018 in the diagnosis of HCC (all P>0.05). Conclusions:Based on Gd-EOB-DTPA enhanced MRI, LI-RADS v2018 has higher sensitivity and similar specificity in the diagnosis of HCC compared to v2017, especially in the diagnosis of small HCC (10-19 mm).
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Objective:To investigate the diagnostic value of Chinese-thyroid imaging reporting and data system (C-TIRADS) combined with shear wave elastography (SWE) in thyroid microcarcinoma.Methods:The clinical data of 270 patients (367 nodules) who underwent thyroid ultrasound examination and confirmed by pathology from January 2019 to June 2021 in the Affiliated Hospital of Jining Medical University were analyzed retrospectively. All patients were assisted by SWE in preoperative ultrasound examination to measure the maximum elastic modulus (E max), the average elastic modulus (E mean) and the minimum elastic modulus (E min). The receiver operating characteristic (ROC) curve was drawn to get the optimal threshold of SWE according to the pathological results. The diagnostic value of C-TIRADS, SWE and their combined in different diameters thyroid micronodules was analyzed. Results:Among 367 thyroid nodules, 119 nodules were benign and 248 nodules were malignant. The area under the curve (AUC) of E max in diagnosing TMC was significantly larger than that of E mean and E min (0.883 vs. 0.822 and 0.706), and there was statistical difference ( P<0.05); the best cut-off value of E max was 29.5 kPa. The ROC curve analysis results showed that the AUC of C-TIRADS combined with SWE in diagnosis of TMC was significantly larger than that of C-TIRADS and SWE alone (0.884 vs. 0.800 and 0.853), and there was statistical difference ( P<0.05); the sensitivity, accuracy and negative predictive value of C-TIRADS combined with SWE in diagnosis of TMC were significantly higher than those of C-TIRADS alone (90.32% vs. 80.24%, 89.10% vs. 80.11% and 81.10% vs. 65.97%), and there were statistical differences ( P<0.05). Thyroid nodules were divided into ≤0.5 cm nodules (56 nodules) and 0.5 to 1.0 cm nodules (311 nodules) according to the maximum diameter, the sensitivity and accuracy of C-TIRADS combined with SWE in diagnosing TMC in 0.5 to 1.0 cm nodules were significantly higher than those in ≤0.5 cm nodules: 91.82% (202/220) vs. 78.57% (22/28) and 90.68% (282/311) vs. 80.36% (45/56), and there were statistical differences ( χ2 = 4.99 and 5.20, P<0.05), but there was no statistical difference in specificity between 2 groups ( P<0.05). Conclusions:C-TIRADS combined with SWE can further improve the diagnostic value of TMC, which is worth popularizing and applying in clinic.
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Objective:To compare the predictive value of contrast-enhanced ultrasound(CEUS) Liver Imaging Reporting and Date System(LI-RADS) version 2017 with magnetic resonance imaging(MRI) LI-RADS version 2018 applied alone or in combination for focal liver lesions in high-risk patients.Methods:From January 2018 to October 2021, the clinical and imaging datas of 212 patients with 300 nodules underwent CEUS and contrast-enhanced MRI(CEMRI) within 4 weeks in Ruijin Hospital and its Wuxi branch were retrospectively analyzed. Each nodule was categorized according to the CEUS LI-RADS v2017 and CT/MRI LI-RADS v2018. Inter-modalities agreement was assessed with Cohen′s Kappa. The diagnostic performances of the two classification criteria applied alone and in combination for the predictive value of malignant risk of focal liver lesions were compared using histopathology or follow-up as gold standard.Results:The inter-modalities agreement of CEUS LI-RADS v2017 and MRI LI-RADS v2018 was moderate (Kappa=0.441). The specificity of CEUS LR-5, MRI LR-5 and CEUS LR-5+ MRI LR-5 in the diagnosis of HCC was 93.66%, 95.07% and 88.73% ( P>0.05), respectively, positive predictive values of them were 93.13%, 93.81% and 89.81%( P>0.05), respectively. The sensitivity of CEUS LR-M, MRI LR-M and CEUS LR-M+ MRI LR-M in the diagnosis of non-HCC malignancy was 85.71%, 82.86% and 100%, respectively. CEUS LR-M+ MRI LR-M had higher sensitivity than MRI LR-M( P=0.033), whereas no difference was found between CEUS LR-M+ MRI LR-M and CEUS LR-M( P=0.063). Conclusions:The inter-modalities agreement of the LI-RADS category between CEUS and MRI is moderate. The specificity and positive predictive values of HCC in LR-5 of the CEUS and MRI LI-RADS are comparable. In addition, the sensitivity of non-HCC malignancy in LR-M of the CEUS and MRI LI-RADS are comparable. The combined application of CEUS and MRI LR-M can improve the diagnostic sensitivity of non-HCC malignancy.
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Objective:To evaluate the value of VueBox ? contrast-enhanced ultrasound (CEUS) quantitative analysis combined with ACR TI-RADS classification in the diagnosis of benign and malignant solid thyroid nodules. Methods:A total of 201 patients with thyroid solid nodules (201 nodules) who underwent surgery or puncture biopsy in the People′s Hospital of Guangxi Zhuang Autonomous Region were enrolled from October 2020 to February 2022. The preoperative conventional ultrasound and contrast-enhanced ultrasound images were retrospectively analyzed. According to the pathological results, they were divided into the malignant group and benign group. The differences of the quantitative parameters of CEUS between the two groups were analyzed, including peak enhancement (PE), wash-in and wash-out area under the curve (WiWoAUC), wash-in perfusion index (WiPI). ΔPE, ΔWiWoAUC, ΔWiPI were obtained by calculating the parameter difference between the surrounding normal glands and nodules. ROC curve was used to analyze the value of different quantitative parameters in the differential diagnosis of benign and malignant solid thyroid nodules. The CEUS quantitative parameters with best diagnostic performance was selected and combined with ACR TI-RADS classification system to evaluate the diagnostic efficiency of the single diagnostic approaches and the combined approach.Results:The quantitative parameters of PE, WiWoAUC, WiPI, ΔPE, ΔWiWoAUC, ΔWiPI were significantly different between benign group and malignant group (all P<0.001). ΔPE had the highest diagnostic value among all the quantitative parameters (the area under the ROC curve was 0.802), and the cut-off value was 0.21.ΔPE combined with ACR TI-RADS classification showed the best efficiency in diagnosis of benign and malignant thyroid nodules, with an area under the curve of 0.898, and the sensitivity, specificity, positive predictive value and negative predictive value of 73.39%, 93.48%, 93.02% and 74.78%, respectively. Conclusions:Quantitative parameters of CEUS by using VueBox ? software is valuable for the differential diagnosis of benign and malignant solid thyroid nodules, and its combination with ACR TI-RADS classification can improve the diagnosis accuracy.
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Objective:To explore the differences of the diagnostic performance between the most recent 2018 version of liver imaging reporting and data system (LI-RADS v2018) and 2017 version (LI-RADS v2017) based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI to diagnose hepatocellular carcinoma (HCC) in high-risk patients.Methods:The clinical data and imaging findings of 237 patients in high-risk of HCC who underwent Gd-EOB-DTPA enhanced MRI and obtained postoperative or biopsy pathological results within one month from June 2016 to December 2019 in Tianjin Third Central Hospital were collected retrospectively. A total of 282 observations were obtained as study objects. Two independent radiologists blindly reviewed the preoperative MRI of all patients. The observations were categorized according to LI-RADS v2018 and v2017 respectively. The inter-observer agreement of the categorization between the two radiologists was tested by kappa analysis. With the LR-5 and LR-4+5 as the diagnosis of HCC, the sensitivity, specificity, accuracy, and Youden index of the LI-RADS v2017 and LI-RADS v2018 were evaluated with postoperative histopathological results as references. The McNemar test was used to compare the diagnostic performance between the two versions.Results:The two physicians had good consistency in the categorization of observations, with kappa values between 0.536 and 0.793. Using LR-5 as the criterion for HCC diagnosis, the Youden index (0.687) of LI-RADS v2018 was higher than that of v2017 (0.612). The sensitivity [80.6% (166/206)] and accuracy [82.6% (233/282)] were both higher than those of LI-RADS v2017 [70.4% (145/206) and 75.9%(214/282)] (χ2=19.048, 14.087, both P<0.001). The specificity was slightly lower [88.2%(67/76) and 90.8%(69/76), respectively], but there was no statistical difference (χ2=0.500, P=0.500). With LR-4+5 as the diagnosis of HCC, the diagnostic performance of the two versions was the same. The sensitivity [91.3% (188/206)] and accuracy [87.6% (247/282)] were higher, and the specificity [77.6% (59/76)] were lower than the LR-5 standard of LI-RADS v2018 (χ2=20.045, P<0.001; χ2=5.633, P=0.018; χ2=16.056, P<0.001), and the Youden index (0.689) was also higher than the LR-5 standard of LI-RADS v2018. Conclusions:Based on Gd-EOB-DTPA enhanced MRI, the LI-RADS v2018 has higher sensitivity and accuracy in diagnosing HCC than v2017. Correct use can provide more objective diagnostic evidence for the clinic.
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Objective:To evaluate the value of conventional ultrasound(US) combined with contrast-enhanced ultrasound(CEUS) in the diagnosis of Breast Imaging Reporting and Data System( BI-RADS) category 4 small(≤ 2 cm) breast nodules.Methods:A total of 175 breast nodules in 175 patients from Fujian Cancer Hospital between September 2015 and August 2018 classified as BI-RADS category 4 breast nodules with maximum diameter ≤2 cm were evaluated by US and CEUS examinations. All nodules were examined by core-needle biopsy or surgical pathology.The collected ultrasound images and videos were analyzed by blind method. Stepwise Logistic regression was used to analyze the odds ratio of malignant nodules in ultrasound images, and the risk prediction score model was constructed according to OR value. The BI-RADS category was readjusted, and the diagnostic efficiencies before and after adjustment were compared with the ROC curve. Results:Multivariate Logistic regression analysis showed that the odds ratios of breast malignant nodules were non-circumscribed margin ( OR=3.32, P=0.052), calcification in the mass ( OR=7.42, P=0.002), architectural distortion ( OR=38.58, P<0.001), ductal dilatation ( OR=0.01, P=0.010), suspicious or abnormal axillary lymph nodes ( OR=10.92, P=0.003), enlarged lesion scope ( OR=3.38, P=0.040), penetrating vessels ( OR=10.79, P=0.006), and non-circumscribed margin after enhancement( OR=6.24, P=0.003). When the cut-off value was 3.5, the area under ROC curve, sensitivity, specificity and accuracy were 0.951, 87.80%, 89.20% and 88.57%, respectively. After adjusting BI-RADS classification and taking the adjusted BI-RADS category 4a as the biopsy threshold, the biopsy rate decreased from 100% to 58.86%, the cancer detection rate increased from 46.86% to 75.73%, and the risk of missed diagnosis was 2.29%. The area under ROC curve before and after BI-RADS classification adjustment was 0.838 and 0.937, respectively. Conclusions:US combined with CEUS can improve the diagnostic efficiency of BI-RADS category 4 small breast nodules and reduce unnecessary biopsy.
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Objective:To validate the Chinese version of Thyroid Imaging Report and Data System (C-TIRADS) for the malignancy risk stratification assessment of thyroid nodules, and compare with the American College of Radiology TIRADS(ACR-TIRADS) for diagnostic performance.Methods:A total of 1 306 patients with 1 389 thyroid nodules in the First Affiliated Hospital of Hainan Medical University from January 2015 to March 2021 were reviewed and assessed for diagnostic performance according to the C-TIRADS and the ACR-TIRADS, respectively, and the histopathological results were taken as golden standard.Results:The 1 389 thyroid nodules consisted of 973 benign nodules and 416 malignant nodules. The C-TIRADS 4C and ACR-TIRADS 5 had the highest accuracies and were taken respectively as the optimized cut-off values for diagnosis.The sensitivity, specificity, positive and negative predictive values and AUC by C-TIRADS 4C and ACR-TIRADS 5 for thyroid nodule evaluation were 87.39%, 89.92%, 75.00%, 95.38%, 0.89, and 85.58%, 91.88%, 81.84%, 93.71%, 0.89, respectively(all P>0.05). Conclusions:The C-TIRADS and ACR-TIRADS have good diagnostic performance for the malignancy risk stratification of thyroid nodules, and C-TIRADS 4C has comparable diagnostic performance to ACR-TIRADS 5.
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Objective:To compare the diagnostic values of C-TIRADS, ACR-TIRADS and EU-TIRADS.Methods:According to the classification methods of the 3 guidelines, the ultrasonographic features of 283 thyroid nodules from 266 patients in Sir Run Run Shaw Hospital from January 2019 to June 2020 were analyzed retrospectively. The pathological results were taken as the gold standard, the malignant percentage of different classification was calculated, the ROC curve was plotted, the area under the ROC curve (AUC) and the best diagnostic cut-off value were calculated, and the diagnostic values of the three guidelines were compared. According to the FNA recommendations of the guidelines, the recommended number of thyroid nodules and the detection rate of malignant nodules in different guidelines were analyzed.Results:The AUCs of C-TIRADS, ACR-TIRADS and EU-TIRADS were 0.80, 0.66, 0.61, respectively. The AUC of C-TIRADS was higher than those of ACR-TIRADS and EU-TIRADS ( P<0.001, P<0.001). The best diagnostic cutoff values of C-TIRADS, ACR-TIRADS and EU-TIRADS were 4C, 5 and 5, respectively. Under the critical points, the sensitivities of the 3 guidelines were 95.27%, 98.10%, 99.53%, the specificities were 54.17%, 33.33%, 20.83%, respectively. There was no significant difference in the number of FNA recommendations among the 3 guidelines(all P>0.05), their FNA recommendations were highly consistent (Kappa>0.9). Conclusions:The diagnostic value of C-TIRADS in the classification of benign and malignant thyroid nodules is higher than those of ACR-TIRADS and EU-TIRADS. The best critical value for diagnosis of thyroid nodules is C-TIRADS 4C. The three guidelines are similar in the number of FNA recommendations and the detection rate of malignancy.
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Objective:To evaluate the relationships among contrast-enhanced ultrasound (CEUS) features, molecular type, and biomarker expression of breast cancer.Methods:A retrospectively analysis of breast cancer patients confirmed by pathology were performed using Breast Imaging Report And Data System (BI-RADS) ultrasound category lesions in the Second Affiliated Hospital Zhejiang University School of Medicine from May 2020 to April 2021. All patients underwent conventional ultrasound and CEUS before biopsy and/or surgery. The relationships among BI-RADS category, quantitative and qualitative CEUS features and biomarker expression of breast cancer were evaluated.Results:All 149 patients with 149 breast lesions were included. The numbers of BI-RADS category 4A, 4B, 4C, and 5 were 8, 60, 49, and 32, respectively. Among them, the numbers of Luminal A like, Luminal B like (human epidermal growth factor receptor-2 (HER-2) positive), Luminal B like (HER-2 negative), HER-2 overexpression and triple negative type were 81, 29, 17, 15, and 7. No significant correlations were found among BI-RADS category, molecular types, and biomarker estrogen receptor (ER), progesterone receptor (PR), HER-2, and antigen Ki-67 (Ki-67) expression (all P>0.05). There were no correlations between quantitative or qualitative CEUS features and molecular types of breast cancer (all P>0.05). There were no correlations between qualitative CEUS variables and ER, PR, HER-2, and Ki-67 expression (all P>0.05). Ascending slope (AS) were negatively correlated with ER and PR expression( r=-0.40, P=0.01; r=-0.35, P=0.03). Descending slope (DS) were positively correlated with ER and PR expression( r=0.42, P=0.01; r=0.36, P=0.03). Arrive time (AT) were positively correlated with HER-2 expression( r=0.37, P=0.02). Conclusions:AS and DS are correlated with ER and PR expression.Arrive time (AT) is correlated with HER-2 expression. The quantitative variables of CEUS are helpful for evaluation of biomarker expression in breast cancer.
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Objective:To study the correlation between liver imaging reporting and data system (LI-RADS) category with tumor differentiation, Ki67 index, microvascular infiltration, and predictive prognosis in hepatocellular carcinoma (HCC).Methods:We retrospectively analyzed the clinical and radiological data of 178 patients with HCC who were confirmed by histopathological studies after liver resection between January 2015 and September 2020 at Lishui Central Hospital and Lishui People’s Hospital. There were 156 males and 22 females, with age of (57±10) years old. These patients were assessed for LI-RADS categories according to the 2018 version of LI-RADS, and they were divided into 4 groups according to the assessment results: 12 patients with LI-RADS-3 (the LI-RADS-3 group); 26 patients with LI-RADS-4 (the LI-RADS-4 group); 102 patients with LI-RADS-5 (the LI-RADS-5 group); and 38 patients with LI-RADS-M (the LI-RADS-M group). The patients' general information, tumor markers, pathology and other clinical data were recorded. Correlation analysis between the LI-RADS category with pathology was performed by the Kendall's tau-b test. Survival analysis between groups was performed by the Kaplan-Meier analysis. The Cox regression risk model was used to analyze the relationship between these variables with the risk of death.Results:The Kendall's tau-b test showed that LI-RADS category was positively correlated with the degree of tumor differentiation ( t=0.204, P=0.002), but not with microvascular infiltration and Ki 67 index ( P>0.05). All patients were followed up for 4.2 to 84.2 months (median follow-up 36.3 months). By the end of follow-up, 31 patients had died and 147 patients were alive. The cumulative 1-year and 3-year survival rates of the LI-RADS-5 group were 97% and 90% respectively, which were significantly higher than those in the LI-RADS-M group (81% and 63%), and the LI-RADS-4 group (96% and 81%), ( P<0.05). The cumulative 1-year and 3-year survival rates of patients in the LI-RADS-3 group were 100% and 67% respectively, and there was no statistically significant difference with the LI-RADS-5 group ( P>0.05). The Cox multivariate regression analysis showed that tumor glycoantigen 199 (>50 μl/ml) to be an independent influencing factor in survival of HCC patients ( HR=0.43, 95% CI: 0.24-0.76, P=0.004). Conclusion:The LI-RADS category of HCC was positively correlated with the degree of tumor differentiation, and patients with HCC meeting the LI-RADS-5 criteria had relatively better prognosis.
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Objective@#To compare the diagnostic performance of American College of Radiology-Thyroid Image Reporting and Data Systems (ACR-TIRADS) and the American Thyroid Association (ATA) guidelines on screening for thyroid malignancy.@*Methodology@#A cross-sectional criterion-referenced study involving Filipino patients with thyroid nodules, 18-80 years old, who underwent ultrasound guided fine needle aspiration biopsy at the Thyroid Clinic of The Medical City from July to December 2019. The ACR-TIRADS and the ATA guidelines were compared for 197 nodules. Standard diagnostic parameters were calculated, namely sensitivity, specificity, PPV, NPV, positive and negative likelihood ratios and overall accuracies.@*Results@#The risks of malignancy were 15% and 22% for TIRADS 4 and 5 respectively. For ATA guidelines, it’s 2%, 20%, and 15% for nodules with low, intermediate, and high suspicion respectively. The sensitivity, specificity, PPV, NPV, and accuracy of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS) in relation to Fine Needle Aspiration Cytology (FNAC) is 100%, 52.2%, 16.5%, 100%, and 56.4% respectively. For the American Thyroid Association (ATA) guidelines it is 88.2%, 57.8%, 16.5%, 98.1%, and 60.4% respectively.@*Conclusion@#The ACR TIRADS classifications appears to be more sensitive than the ATA classification. The ATA guidelines prove to be a more specific test. Each tool has its unique advantages and disadvantages. Therefore, clinicians must use these tools with utmost vigilance to avoid over or under diagnosis and to avoid unnecessary thyroid nodule biopsies.