Value of conventional ultrasound and shear­wave elastography in the assessment of mesenteric lymphadenitis in a paediatric population.

The present retrospective study was designed to explore the value of conventional ultrasound (US) and Virtual Touch Tissue Imaging and Quantification (VTIQ) in the assessment of mesenteric lymphadenitis (ML) in a paediatric population. A total of 103 patients with ML and 60 healthy paediatric patients were examined. VTIQ was performed to assess mesenteric lymph node (MLN) stiffness via shear-wave velocity (SWV). Univariate and multivariate logistic regression analyses were conducted to reveal independent variables for the identification of ML. The diagnostic performance of US, and US combined with VTIQ, were compared. All the quantitative VTIQ parameters (including the SWVMean, SWVMax and SWVMin) were significantly greater for MLNs in the control group than for MLNs in the ML group (all P<0.001). The SWV values in the control group were nearly 2-fold greater than that in the ML group. According to the multivariate logistic regression analysis, the longest diameter [odds ratio (OR)=6.042; P=0.046] was revealed to be the strongest independent predictor for ML, followed by the CRP level (OR=2.310; P<0.001) and the SWVMean (OR=0.106; P<0.001). According to the receiver operating characteristic analysis, the area under the curve (AUC) for US combined with VTIQ was 0.890 (95% CI: 0.831-0.949) with a greater sensitivity of 91.26% and a greater specificity of 86.67% than that for US alone (AUC: 0.798; 95% CI: 0.724-0.872; sensitivity: 79.61%; specificity: 80.00%). A significant negative correlation between increased VTIQ parameters and ML was observed. Utilizing VTIQ to assess MLN stiffness offers a non-invasive, convenient, reliable and reproducible approach for identifying mesenteric lymphadenopathy.

A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?

Background: Early studies have demonstrated the potential of deep learning in bringing revolutionary changes in medical analysis. However, it is unknown which deep learning based diagnostic pattern is more effective for differentiating malignant and benign breast lesions (BLs) and can assist radiologists to reduce unnecessary biopsies. Methods: A total of 506 malignant BLs and 557 benign BLs were enrolled in this study after excluding incomplete ultrasound images. 396 malignant BLs and 447 benign BLs were included in the training cohort while 110 malignant and 110 benign BLs were included in the validation cohort. All BLs in the training and validation cohort were biopsy-proven. The most common convolutional neural networks (VGG-16 and VGG-19) were applied to identify malignant and benign BLs using grey-scale ultrasound images. Two radiologists determined the malignant (suggestion for biopsy) and benign (suggestion for follow-up) BLs with a 2-step reading session. The first step was based on conventional ultrasound (US) images alone to make a biopsy or follow-up decision. The second step was to take deep learning results into account for the decision adjustment. If a deep learning result of a first-classified benign BL was above the cut-off value, then it was re-classified as malignant. Results: In terms of area under the curve (AUC), the VGG-19 model yielded the best diagnostic performance in both training [0.939, 95% confidence interval (CI): 0.924-0.954] and testing dataset (0.959, 95% CI: 0.937-0.982). With the aid of deep learning models, the AUC of radiologists improved from 0.805 (95% CI: 0.744-0.865) to 0.827 (95% CI: 0.771-0.875, VGG-16) and 0.914 (95% CI: 0.871-0.957, VGG-19). The unnecessary biopsies decreased from 10.0% (11/110) to 8.2% (9/110) (assisted by VGG-16) and 0.9% (1/110) (assisted by VGG-19). Conclusions: The application of deep learning patterns in breast US may improve the diagnostic performance of radiologists by offering a second opinion. And thus, the assist of deep learning algorithm can considerably reduce the unnecessary biopsy rate in the clinical management of breast lesions.

Added Value of Superb Microvascular Imaging and Virtual Touch Imaging Quantification in Assisting Thyroid Cancer Classification.

This prospective study determined the value added by superb microvascular imaging (SMI) and Virtual Touch imaging quantification (VTIQ) to conventional ultrasonography in classifying malignant and benign thyroid nodules. One hundred eighty-three thyroid nodules (TNs) in 120 patients (112 benign and 71 malignant TNs) were evaluated. SMI revealed noticeable variance between benign and malignant TNs (p < 0.001). Malignant nodules tended to have rich vascularity (grade 3: 38/71, 53.5%) compared with benign nodules (grade 3: 33/112, 29.5%). There is a statistically significant difference between malignant and benign TNs with respect to shear-wave speed (SWS) values (all p values <0.001). The SWS mean, maximum and ratio of malignant nodules were 3.97 ± 1.34, 4.79 ± 1.70 and 1.25 ± 0.39, respectively. The SWS mean, maximum and ratio of benign nodules were 2.65 ± 0.42, 2.97 ± 0.46 and 1.15 ± 0.35, respectively. With respect to area under the curve values, the combined use of SMI or VTIQ improved the diagnostic performance of classifying malignant and benign TNs compared with that of ultrasonography alone. The combination of three modalities achieved the greatest area under the curve values (0.9811, 95% confidence interval: 0.95529-1.000), followed by US + VTIQ (0.9747, 0.94543-1.000), US + SMI (0.9032, 0.85345-0.95391) and ultrasonography (0.8291, 0.76417-0.89403).

Influence of UV light irradiation on the corrosion behavior of electrodeposited Ni and Cu nanocrystalline foils.

Influence of ultraviolet (UV) light irradiation on the corrosion behavior of electrodeposited Ni and Cu nanocrystalline foils in 3.5% NaCl solution was studied by means of electrochemical methods, electron work function (EWF) analysis, and characterization with atomic force microscopy (AFM) and X-ray photoelectron spectroscopy (XPS). It was demonstrated that the influence of solar light on corrosion of the metals was non-negligible, which could be very different for different materials. The UV light irradiation resulted in an increase in corrosion resistance of the Cu foil but showed an opposite influence on that of the Ni foil. Based on surface state analysis, it was concluded that the UV irradiation altered the surface oxide films. The UV light induced the formation of Cu2O on Cu, which is more stable and compacted than naturally formed CuO film. However, the UV light accelerated the formation of Ni2O3, which is loose, porous and brittle, compared to naturally formed NiO on Ni. The changes in oxide films were responsible for the opposite variations in the corrosion behavior of the Cu and Ni nanocrystalline foils caused by the UV light irradiation.

Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation.

BACKGROUND The aim of this study was to evaluate the association between prostate cancer (PCa) vascularity detected by superb microvascular imaging (SMI) and Gleason score in biopsy specimens. MATERIAL AND METHODS A total of 119 patients with suspected PCa before biopsy underwent gray-scale ultrasound (US), color Doppler ultrasound (CDUS), and SMI imaging between June 2018 and March 2019. Vascularity quantity was assessed by SMI and compared with that of CDUS. The vessel parameter was also compared with the Gleason score. The sensitivity of PCa was compared between transrectal ultrasound guided systematic biopsy (SB) and SMI-guided targeted biopsy (SMI-guided TB). RESULTS Pathology confirmed 74 of 119 patients had PCa. The microvascular quantity of PCa patients was significantly higher than that of non-malignant patients. SMI detected blood vessels in 97.3% (72/74) in the malignant group, while CDUS identified blood flow signals in 90.5% (67/74) of the PCa group. SMI visualized enriched microvascular in PCa of Gleason 8 (54.5%) and Gleason 9 (92.3%). There was a positive correlation between microvascular quantity detected by SMI and Gleason score, with a correlation coefficient of 0.373 (P<0.001). SMI-guided TB cores were significantly more likely than SB cores to detect PCa (OR=12.83, P<0.001). CONCLUSIONS SMI could be promising as a useful imaging technique in the detection and characterization of PCa. There was a positive correlation between microvascular quantity detected by SMI and Gleason score.

Strain Elastography-Targeted Biopsy: Does Prostate Volume Affect Prostate Cancer Detection?

BACKGROUND The present study aimed to assess the correlation between prostate volume and prostate cancer (PCa) detection by strain elastography (SE)-guided targeted biopsy (TB) compared with conventional transrectal ultrasound (TRUS)-guided systematic biopsy (SB). MATERIAL AND METHODS This retrospective study enrolled 357 patients suspected to have PCa. All patients received TRUS-guided 10-core SB and SE-guided TB. The sensitivity for PCa detected by SE-guided TB was compared with that by TRUS-guided SB, in combination with prostate biopsy pathology. The correlation between the prostate volume and the detection rate of SE-guided TB was investigated. RESULTS PCa was pathologically confirmed in 151 out of 357 patients. The by-patient detection rate of TRUS-guided SB was 72.8% (110/151). Subsequently, a further increase of 6.6% (10/151) in PCa determination was obtained by the SE-guided TB. The sensitivity of SE-guided TB for patients with prostate volume <30 ml, 30-50 ml, 51-80 ml, and >80 ml was 91.7% (44/48), 80.3% (53/66), 70.4% (19/27), and 40.0% (4/10), respectively (p=0.002). For patients with a prostate volume less than 30 ml, SE-guided TB (91.7%) had a higher sensitivity than SB (62.5%) (p<0.007). CONCLUSIONS SE-guided TB has a higher detection rate of PCa in comparison with TRUS-guided SB. There was also a negative correlation between prostate volume and SE-guided TB. Therefore, use of SE-guided TB may complement use of conventional SB, especially for patients with smaller prostate volume.

A comparative study on superb microvascular imaging and conventional ultrasonography in differentiating BI-RADS 4 breast lesions.

This prospective study aimed to explore the diagnostic value of superb microvascular imaging (SMI) in differentiating Breast Imaging Reporting and Data System (BI-RADS) 4 breast lesions compared with conventional ultrasonography (US). A total of 111 patients with 116 breast lesions underwent grayscale ultrasound (US), colour Doppler flow imaging (CDFI) and SMI breast imaging between February 2016 and May 2018. CDFI and SMI were performed to evaluate vascular quantity, morphology, and distribution characteristics. The detection of malignancy was compared between grayscale US alone, US + CDFI and US + SMI in terms of the BI-RADS stratification system. SMI was observed to be significantly more accurate in distinguishing malignant breast lesions (86.67%) compared with CDFI (80.00%) (P<0.001). Among malignant lesions, SMI detected 80.00% of those that contained ≥4 vessels, while CDFI only detected 56.67%. Penetrating and branching vessels were identified by SMI in 53.33% of malignant breast lesions and by CDFI in 10.00%. There was no significant difference in vascular distribution by SMI (P=0.094) and by CDFI (P=0.087). US + SMI was associated with higher sensitivity, specificity, and accuracy rates (86.67, 83.72 and 84.48%, respectively) compared with US + CDFI (80.00, 72.09 and 74.14%, respectively). The area under the curve values from receiver operating characteristic analysis of US + SMI, US + CDFI and US alone were 0.852 [95% confidence interval (CI): 0.768-0.936)] 0.760 (95% CI: 0.660-0.860), 0.698 (95% CI: 0.589-0.807), respectively (P<0.001). SMI yielded more detailed vascular information associated with malignant breast masses when compared with conventional US. Therefore, as an adjunct to grayscale, SMI exhibited a markedly improved diagnostic capability in distinguishing malignant and benign breast lesions, particularly those of BI-RADS category 4.

Evaluation of plasma cell mastitis with superb microvascular imaging.

BACKGROUND: Plasma cell mastitis (PCM), a common type of mastitis often mimics malignancy clinically and radiologically. OBJECTIVE: The study was designed to explore the diagnostic value of superb microvascular imaging (SMI) in differentiating PCM from malignant breast lesions. METHODS: A total of 95 breast lesions underwent conventional ultrasound (US) and SMI examination between May 2016 and April 2018. Vessels were detected in SMI in a quantitative manner. Blood flow parameters including systolic peak velocity (SPV), resistance index (RI), and pulsatility index (PI) were evaluated. We further assessed the diagnostic performances of US and US+SMI. RESULTS: The majority of PCM were in regular shape and displayed no calcification compared with malignant breast lesions. Regarding blood flow parameters, PCM obtained significantly lower mean value of RI and PI compared with malignant lesions (P < 0.05). The sensitivity, specificity and accuracy rate of US+SMI (84.62%, 76.47%, 83.16%) was significantly higher than those of US (78.21%, 64.71%, 75.59%). CONCLUSIONS: The present study supports that SMI is a novel ultrasound technology in revealing micro-vessels in breast lesions. The combined modality of US+SMI presented a better diagnostic performance in making a distinction between PCM and malignant breast carcinomas.

Evaluating the Efficacy of Atorvastatin on Patients with Carotid Plaque by an Innovative Ultrasonography.

BACKGROUND: The present study aimed to explore the efficacy of atorvastatin on patients with carotid plaque, applying superb microvascular imaging (SMI), and contrast-enhanced ultrasound (CEUS) for evaluating carotid intraplaque neovascularization. METHODS: A total of 82 patients (82 carotid plaques) who were randomized into treatment group and control group underwent conventional ultrasound, CEUS, and SMI examinations. Patients in treatment group received a dose of 20 mg atorvastatin per day for 6 months while those in control group received placebo instead. Lipid parameters were assessed and intraplaque neovascularization were evaluated by CEUS and SMI before and 6 months after atorvastatin treatment. RESULTS: No significant differences were found between the 2 groups at the study entry. Patients with atorvastatin treatment received marked improvement in total cholesterol, triglyceride, and LDL-cholesterol compared with those in control group (P < .001). In treatment group, SMI-detected intraplaque neovascularization reduced from 69.23% to 48.72% while CEUS-detected ones reduced from 76.92% to 69.23%. By contrast, the percentage of intraplaque neovascularization in control group did not change too much either by SMI (65.12%, 67.44%) or CEUS (74.41%, 74.41%). The consistency between CEUS and SMI was above .75 at all assessments (P < .001). CONCLUSIONS: Atorvastatin treatment works for patients with carotid plaque by reducing LDL-cholesterol and improving plaque regression. Second, the consistency between SMI and CEUS in visualizing intraplaque neovascularization is good. That indicates a high possibility to identify carotid plaque instability by a safer and cheaper ultrasonography without contrast agent.

Correlation between histopathological grading and shear-wave elastography in evaluating invasive carcinoma of no special type.

The present study aimed to investigate the correlation between histologic grade and shear-wave elastography in evaluating invasive breast carcinoma of no special type (NST). A total of 84 breast lesions in 80 patients (age range, 32-64 years) were retrospectively evaluated. The patients underwent B-mode ultrasound and virtual touch tissue quantification diagnosis. A semi-quantitative method was then applied in order to determine the histologic grade of the invasive carcinoma of NST according to the grading system published by the World Health Organization. Among the 84 breast lesions, 14 (16.7%) were classified as Grade I, while 29 (34.5%) and 41 (48.8%) were determined to be of Grade II and Grade III, respectively. The size of the breast lesions increased with the increase in histological grade (P<0.001). In addition, 29.3% of the Grade-III breast lesions exhibited acoustic enhancement, while the majority of the Grade-I breast lesions (78.6%) exhibited acoustic shadowing (P=0.002). Furthermore, a higher histopathological grade was closely correlated with a higher mean, minimum and maximum shear-wave velocity value (P<0.05). In conclusion, regarding the evaluation of invasive breast carcinoma of NST, the histologic grade was strongly correlated with tissue stiffness; a higher histologic grade was associated with a harder lesion. Therefore, shear-wave elastography may provide important clinical reference values.

A Prospective Study to Compare Superb Microvascular Imaging with Grayscale Ultrasound and Color Doppler Flow Imaging of Vascular Distribution and Morphology in Thyroid Nodules.

BACKGROUND This study aimed to compare superb microvascular imaging (SMI) with grayscale ultrasound (US) and color Doppler flow imaging (CDFI) to evaluate vascular distribution and morphology to distinguish between benign and malignant thyroid nodules. MATERIAL AND METHODS Seventy-one patients with 76 thyroid nodules underwent grayscale US, CDFI, and SMI thyroid imaging. CDFI and SMI assessed vascular quantity, morphology, and distribution, and was graded according to Adler's method, as absent (grade 0), minimal (grade 1), moderate (grade 2), or marked (grade 3). The detection of malignancy was compared between the following imaging groups, grayscale US alone, US combined with CDFI, and US combined with SMI. RESULTS SMI was significantly more accurate in identifying malignant thyroid nodules (79.3%) compared with CDFI (55.2%) (P<0.001). In malignant thyroid nodules, penetrating blood vessels were identified by SMI in 62.1% and by CDFI in 41.4%; there was no significant difference in vascular distribution between SMI (P=0.835) and CDFI (P=0.806). Grayscale US with SMI resulted in the greatest diagnostic sensitivity, accuracy, and specificity (86.21%, 85.53%, and 85.11%) compared with grayscale US with CDFI (75.86%, 82.89%, and 87.23%). Receiver operating characteristic (ROC) area under the curve (AUC) values of US with SMI, US with CDFI, and US alone were 0.918 (95% CI, 0.856-0.979), 0.911 (95% CI, 0.849-0.973), and 0.847 (95% CI, 0.762-0.932), respectively (P<0.001). CONCLUSIONS SMI as an adjunct to grayscale US provided significantly more information on vascularity associated with malignancy in thyroid nodules, when compared with grayscale US or with US and CDFI.

Correlation Between Delivery Mode and Pelvic Organ Prolapse Evaluated by Four-Dimensional Pelvic Floor Ultrasonography.

BACKGROUND This study explored symptoms and signs of pelvic organ prolapse (POP) evaluated by 4-dimensional pelvic floor ultrasonography and analyzed the relationship between delivery mode and POP. MATERIAL AND METHODS A total of 578 women who underwent 4-dimensional transperineal ultrasound were enrolled in this study. Obstetric history together with other clinical information were gathered from clinical questionnaires and gynecologists. Patients were thereafter classified into 4 groups: women with normal vaginal delivery, women with forceps delivery, women with cesarean, and nullipara women. We assessed symptoms and signs of POP among these 4 groups by use of 2 evaluation methods. The first method was clinical assessment applying International Continence Society (ICS) pelvic organ prolapse quantification (POP-Q). The second method was the use of ultrasonography in the quantification of anterior, middle, and posterior compartment prolapse. RESULTS Nulliparae women exhibited the lowest probability of POP (POP-Q: cystocele of 15.6%, uterine prolapse of 11.1%, rectocele of 20.0%; ultrasound exam: 6.7%, 8.9%, 13.3% in sequence), while women with forceps delivery had the highest probability of POP (POP-Q: 59.6%, 50.8%, 63.2% in sequence; ultrasound exam: 45.6%, 52.6%, 42.1% in sequence). Regarding the correlation between POP and delivery mode, the adjusted odds ratio was 2.40 (95%CI: 1.301~4.590) and 3.20 (95%CI: 1.651~6.121) in the normal vaginal delivery group and forceps group, respectively, compared with the cesarean group. CONCLUSIONS Four-dimensional pelvic floor ultrasonography can be used as a preferred method in evaluating POP. Regarding the relationship between delivery mode and POP, there is a significant correlation between vaginal delivery and POP.

Diagnostic Performance of Superb Microvascular Imaging (SMI) Combined with Shear-Wave Elastography in Evaluating Breast Lesions.

BACKGROUND This study explored the diagnostic value of a combined modality of Superb Microvascular Imaging (SMI) and shear-wave elastography in differentiating malignant and benign breast lesions. MATERIAL AND METHODS A total of 121 patients with 123 breast lesions enrolled underwent conventional ultrasound exam (US), Color Doppler Flow Imaging (CDFI), SMI examination, and Virtual Touch Tissue Quantification (VTQ) measurement between May 2016 and October 2017. Vessels were detected by both CDFI and SMI in a quantitative manner. The stiffness of all the breast tissues was evaluated by VTQ method. We further assessed the diagnostic performances of CDFI, SMI, VTQ, CDFI+VTQ, and SMI+VTQ. RESULTS Both CDFI and SMI exhibited significant differences between malignant and benign masses (p<0.001) in terms of Adler classification. The mean shear-wave velocity (SWV) of malignant neoplasms was 5.28 m/s, with interquartile range (IQR) 4.01-6.39 m/s (p<0.001). The mean SWV of benign lesions was 2.64 m/s, with IQR 2.30-5.01 m/s (p<0.001). No significant difference was found for the area under the receiver operating characteristic curve (AUC) for CDFI, SMI, and VTQ (c2=2.29, P=0.3715). The sensitivity was the highest on SMI+VTQ (85.42%) and the lowest on CDFI (58.33%). CDFI+VTQ (85.33%) had a slightly higher specificity than SMI+VTQ (84.00%). The accuracy rate of these 2 modalities remained the same (84.55%). CONCLUSIONS Superb Microvascular Imaging yields more detailed vascular information in the bloodstream in benign and malignant breast masses compared with conventional ultrasonography. VTQ provides standardized quantified results in assessing tissue stiffness. The combined modality of SMI+VTQ added to conventional ultrasonography presented a better diagnostic performance in differentiating malignant breast neoplasms.