Application value of S-Detect combined with contrast-enhanced ultrasound in the Breast Imaging Reporting and Data System 4 breast lesions / 中华超声影像学杂志

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.

Value of ultrasonic S-Detect technique in diagnosis of breast masses / 南方医科大学学报

OBJECTIVE@#To evaluate the value of ultrasound S-Detect in the diagnosis of breast masses.@*METHODS@#A total of 85 breast masses in 62 female patients were diagnosed by S-Detect technique and conventional ultrasound. The diagnostic efficacy of conventional ultrasound and S-Detect technique was analyzed and compared with postoperative pathological results as the gold standard.@*RESULTS@#When operated by junior physicians, the diagnostic efficacy of conventional ultrasound was significantly lower than that of S-Detect technique (P < 0.05), but this difference was not observed in moderately experienced and senior physicians (P>0.05). S-Detect technique was positively correlated with the diagnostic results of senior physicians (r=0.97). Using S-Detect technique, the diagnostic efficacy did not differ significantly between the long axis section and its vertical section (P>0.05). Routine ultrasound showed a better diagnostic efficacy than S-Detect for breast masses with a diameter below 20 mm (P < 0.05), but for larger breast masses, its diagnostic efficacy was significantly lower than that of SDetect (P < 0.05).@*CONCLUSION@#S-Detect can be used in differential diagnosis of benign and malignant breast masses, and its diagnostic efficiency can be comparable with that of BI-RADS classification for moderately experienced and senior physicians, but its diagnostic efficacy can be low for breast masses less than 20 mm in diameter.

Combination of S-Detect and strain elastography in the conventional ultrasonic diagnosis of breast tumors / 中国综合临床

Objective:To explore the value of s-detect combined with elastography in the differential diagnosis of benign and malignant breast tumors.Methods:The ultrasound diagnosis data of 136 patients with breast mass examined by ultrasound in the First Affiliated Hospital of Shantou University Medical College from April 2018 to January 2020 were retrospectively analyzed. The breast lesions diagnosed as BI-RADS 3 or above were analyzed by conventional ultrasound, strain elastic imaging strain ratio (SR) and S-Detect Computer-aided Diagnosis (CAD) technology successively and were used for cross-sectional study. The corresponding benign and malignant judgment results were obtained, and the efficacy of individual diagnosis and combined diagnosis were compared and analyzed.Results:Conventional ultrasound, SR, S-Detect alone and conventional ultrasound+SR, conventional ultrasound+S-detect, conventional ultrasound + S-detect +SR combined diagnosis of breast tumors, the area under the receiver operating curve (AREA under the receiver operating curve) Characteristic curve, AUC) were 0.776, 0.839, 0.802, 0.861, 0.832 and 0.870, respectively. SR, S-Detect, conventional ultrasound +SR, conventional ultrasound + S-detect and conventional ultrasound +SR+ S-detect were compared with conventional ultrasound group, Z values were 1.49, 0.70, 2.76, 2.52, 2.96, respectively, and P values were 0.137, 0.484, 0.006, 0.012 and 0.003, respectively. The difference was statistically significant. The accuracy of conventional ultrasound +S-Detect+SR was the highest (84.1%), compared with pathological results, its Kappa value was 0.687, showing the strongest consistency. Conclusion:S-detect combined with strain elastography assisted by conventional ultrasound can significantly improve the diagnostic efficiency of benign and malignant breast tumors.

The assistant diagnostic value of S‐Detect technique in identification of breast cancer / 中华超声影像学杂志

Objective To evaluate the assistant diagnostic value of S‐Detect artificial intelligence system in differential diagnosis of benign and malignant breast tumors . Methods Clinical data and ultrasound images of 201 patients undergoing breast ultrasound examination in Tongji Hospital from M arch 2018 to M ay 2018 were acquired . Two‐dimensional grayscale and color Doppler ultrasound images ,S‐Detect mode images and elastographic images of 220 breast lesions were analyzed . T he BI‐RADS categories of each lesion were divided into two groups :experienced group and random group .And according to w hether to refer to S‐Detect diagnostic results ,the BI‐RADS categories in experienced group were divided into A 1 group and P1 group .In additional ,the highest and lowest categories of the same tumor in random group were A 2 group ,and the diagnostic results of A 2 group combining with S‐Detect system were belonged to P2 group . T he ROC curves were plotted and the area under the curve ,sensitivity ,specificity or the accuracy of the different groups were compared . Agreements of diagnostic results between different groups were analyzed by Kappa test . Results Out of 220 breast lesions ,181 lesions were benign and 39 lesions were malignant . The S‐Detect artificial intelligence system had a relatively high diagnostic efficiency ,and the sensitivity , specificity and accuracy of S‐Detect classification were 92 .3% ,90 .6% ,90 .9% , respectively . With its assistance ,the specificity and accuracy in the experienced group had an increasing trend ( A 1 group :86 .7% , 88 .6% ; P1 group :91 .2% ,92 .3% ) ,and the diagnostic accuracy in random group was significantly improved ( A2 group :63 .6% －85 .5% ; P2 group :93 .2% －94 .1% ) . Both S‐Detect system and elasticity score helped to improve the efficacy of ultrasound physicians in differential diagnosis of benign and malignant breast lesions . But there were differences in diagnostic performance and assistant diagnostic ability between the two techniques . Conclusions S‐Detect technique contributes to the augment of diagnostic accuracy of ultrasound doctors in identifying breast cancer , improves the quality of random breast ultrasound examinations ,and reduces missed diagnosis and misdiagnosis of breast examinations .

The primary application of S-Detect technique in the diagnosis of thyroid tumors / 中华超声影像学杂志

Objective To evaluate the value of S-Detect technology of ultrasonography in the diagnosis of thyroid tumors. Methods Ninety-three thyroid tumors in 93 patients were enrolled in the group.A varied image features of the thyroid masses in gray-scale ultrasonography were analyzed by S-Detect technology and experienced doctor separately.The results were compared and the diagnostic ability were also compared between the two methods. Results There were 44 malignant tumors and 49 benign tumors in these thyroid nodules.The sensitivity of S-Detect technology in the diagnosis of thyroid malignant tumors was higher,up to 88.7%. In the five image features of the thyroid tumors in gray-scale ultrasonography,the result of composition of the mass obtained by S-Detect was the most consistent with that of the doctors and Kappa value was 0.89.Conclusions S-Detect is a kind of computer-aided diagnosis system,which is suitable for the ultrasound beginners in the diagnosis of thyroid tumors.

Application of S-Detect classification system in diagnosis of breast benign and malignant mass by ultrasound / 中华超声影像学杂志

Objective To investigate the value of S-Detect classification in differential diagnosis of breast mass . Methods The data of forty-seven patients with breast mass lesions ( n=61) from our hospital during January to December in 2016 were retrospectively analyzed . Both the man-made BI-RADS classification ( identified by three different specialist physicians with 2 ,5 and 7 years of experience , respectively) and computer S-Detect classification were performed . The sensitivity ,specificity ,accuracy , positive predictive value and negative predictive value of the man-made BI-RADS classification and S-Detect classification of the benign or malignant diagnosis of breast lumps were calculated . The ROC curve was further plotted ,and the area under the curve ( AUC) of each group was compared ,respectively . Results Sixty-one breast mass lesions were confirmed 36 benign lesions and 25 malignant lesions by pathological biopsy . The sensitivity ,specificity and accuracy of man-made BI-RADS classification were as follows:2-year experience physicians 69 .4％ ,72 .0％ and 70 .5％ ;5-year experience physicians:64 .0％ ,92 .0％ and 75 .4％ ;7-year experience physicians:69 .4％ , 92 .0％ and 78 .7％ . The diagnostic sensitivity , specificity , and accuracy of S-Detect classification were 80 .6％ ,96 .0％ and 86 .9％ . The specificity ,accuracy and positive predictive value of S-Detect classification were significantly higher than those of 2-year experience physicians by BI-RADS classification ( P <0 .05) . The area under the ROC curve of each group was 0 .729 ,0 .786 and 0 .801 for 2 , 5 and 7-year experience physicians , respectively , and 0 .917 for S-Detect classification . Conclusions Compared with the man-made BI-RADS classification ,S-Detect classification has advantages in diagnosis of the benign or malignant of breast mass and is helpful to improve the accuracy of diagnosis , especially for junior physicians .