Conventional Ultrasonography Research Articles

Design, manufacturing, and multi-modal imaging of stereolithography 3D printed flexible intracranial aneurysm phantoms.

Physical vascular phantoms are instrumental in studying intracranial aneurysms and testing relevant imaging tools and training systems to provide improved clinical care. Current vascular phantom production methods have major limitations in capturing the biophysical and morphological characteristics of intracranial aneurysms with good fidelity and multi-modal imaging capacity. With stereolithography (SLA) 3D printing technology becoming more accessible, newer flexible and transparent printing materials with higher precision controls open the door for improving the efficiency and quality of producing anthropomorphic vascular phantoms but have rarely been explored for the application. This technical note intends to report the feasibility of using SLA 3D printing technology to manufacture flexible intracranial aneurysm phantoms with similar scales to the real anatomy, as well as their capacity for multi-modal flow imaging and analysis, including ultrasound flow imaging, high-speed filming, and particle image velocimetry analysis. We designed and 3D-printed two intracranial aneurysm phantoms with an SLA 3D printer using Formlabs Elastic 50A resin. By using a micropump to introduce cyclical flows in the phantoms, we first employed conventional Doppler and vector flow ultrasonography to observe and measure different fluidic properties. Then, a high-speed camera was used to record particles flowing within the phantom, and we further conducted a particle image velocimetry analysis, including the distribution of mean 2D velocity vectors, average velocity magnitudes, and the mean vorticity fields in the phantom for the high-speed imaging data. We successfully 3D-printed flexible intracranial aneurysm phantoms with similar dimensions to the real anatomy. Additionally, we validated the phantoms' ability to allow visualization, measurement, and analysis of flow dynamics based on both real-time ultrasound and optical imaging. Our proof-of-concept study illustrates that SLA 3D printing using commercial elastic resins can significantly contribute towards facilitating the fabrication of flexible intracranial aneurysms phantoms for training, research, and preoperative planning.

Contrast-Enhanced Ultrasound for Diagnosing Thyroid Nodules With Indeterminate Cytology: A Retrospective Study.

A small number of thyroid nodules cannot be clearly diagnosed using ultrasound-guided fine needle aspiration biopsy. Contrast-enhanced ultrasound (CEUS) has high diagnostic performance for thyroid nodules. We explored the value of CEUS for diagnosing thyroid nodules with indeterminate cytology. Between September 2019 and July 2022, 27,646 patients with thyroid nodule(s) underwent conventional ultrasound (CUS) in our hospital. From these patients, 597 nodules were subjected to CEUS and ultrasound-guided fine needle aspiration biopsy and 116 thyroid nodules with indeterminate cytology diagnose were enrolled in this study. The independent risk factors for predicting malignancy were determined using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curves were drawn for CUS, CEUS, and CEUS combined with CUS. The area under the curve (AUC) was calculated and compared. Of the 116 thyroid nodules, 40 (34.5%) were benign and 76 (65.5%) were malignant. Univariate analysis showed that the shape, echogenicity, margin, microcalcification, enhancement intensity, enhancement homogeneity, wash in, and wash out were significantly different between benign and malignant thyroid nodules (all p < 0.05). Multivariate logistic regression analysis showed that taller-than-wide, irregular margin, microcalcification, hypo-enhancement, heterogeneity enhancement, synchronous/slower wash in, and synchronous/slower wash out were independent risk factors for malignancy (all p < 0.05). ROC curve analysis showed that the AUC of CUS and CEUS were 0.769 and 0.848, respectively. No significant difference was observed in the AUC between the two modalities (p > 0.05). However, the AUC (0.934) of the CUS combined with CEUS was significantly higher than that of CEUS or CUS alone (both p < 0.05). CEUS is helpful in diagnosing thyroid nodules with indeterminate cytology. CUS combined with CEUS is highly valuable for predicting malignancy.

Utilizing the Postvascular Phase of Contrast-Enhanced Ultrasound to Predict Breast Cancer Lymph Node Metastasis

Background and Objectives: To evaluate the value of the postvascular phase of contrast-enhanced ultrasound (CEUS) in differentiating between benign and metastatic lymph nodes (LNs) in patients with breast cancer (BC). Materials and Methods: This study retrospectively analyzed 96 suspicious LNs in the lymphatic drainage area of the breast from 90 patients with BC. All LNs were assessed by conventional ultrasound (US) and CEUS following intravenous Sonazoid injection. All LNs underwent puncture biopsy, and pathological results were obtained. The correlations between US and CEUS indicators of LNs and LN metastasis (LNM) were analyzed. Results: Of the 96 LNs, 66 were metastatic. Overall, 80.00% (24/30) of the benign LNs exhibited relative hyper-enhancement in the postvascular phase, whereas 96.97% (64/66) of the metastatic LNs exhibited relative hypo-enhancement (p &lt; 0.001). This CEUS finding was highly predictive of metastasis, with a sensitivity of 96.97%, specificity of 80.00%, positive predictive value of 91.43%, negative predictive value of 92.31%, and accuracy of 91.67%. The mean postvascular phase intensity (MPI) was significantly lower for malignant (median MPI, 12 dB) than for benign (median MPI, 75 dB) LNs. The postvascular phase was more sensitive, specific, and accurate than conventional US or the vascular phase of CEUS for the diagnosis of LNM, with an area under the curve of 0.95 (95% confidence interval: 0.89–0.99). Conclusions: Qualitative and quantitative indicators of the postvascular phase of CEUS provide a reliable diagnostic approach to differentiate benign and metastatic LNs in patients with BC.

Prediction of microvascular invasion in hepatocellular carcinoma with conventional ultrasound, Sonazoid-enhanced ultrasound, and biochemical indicator: a multicenter study

PurposeTo develop and validate a preoperative prediction model based on multimodal ultrasound and biochemical indicator for identifying microvascular invasion (MVI) in patients with a single hepatocellular carcinoma (HCC) ≤ 5 cm.MethodsFrom May 2022 to November 2023, a total of 318 patients with pathologically confirmed single HCC ≤ 5 cm from three institutions were enrolled. All of them underwent preoperative biochemical, conventional ultrasound (US), and contrast-enhanced ultrasound (CEUS) (Sonazoid, 0.6 mL, bolus injection) examinations. Univariate and multivariate logistic regression analyses on clinical information, biochemical indicator, and US imaging features were performed in the training set to seek independent predictors for MVI-positive. The models were constructed and evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis in both validation and test sets. Subgroup analyses in patients with different liver background and tumor sizes were conducted to further investigate the model’s performance.ResultsLogistic regression analyses showed that obscure tumor boundary in B-mode US, intra-tumoral artery in pulsed-wave Doppler US, complete Kupffer-phase agent clearance in Sonazoid-CEUS, and biomedical indicator PIVKA-II were independently correlated with MVI-positive. The combined model comprising all predictors showed the highest AUC, which were 0.937 and 0.893 in the validation and test sets. Good calibration and prominent net benefit were achieved in both sets. No significant difference was found in subgroup analyses.ConclusionsThe combination of biochemical indicator, conventional US, and Sonazoid-CEUS features could help preoperative MVI prediction in patients with a single HCC ≤ 5 cm.Critical relevance statementInvestigation of imaging features in conventional US, Sonazoid-CEUS, and biochemical indicators showed a significant relation with MVI-positivity in patients with a single HCC ≤ 5 cm, allowing the construction of a model for preoperative prediction of MVI status to help treatment decision making.Key PointsMVI status is important for patients with a single HCC ≤ 5 cm.The model based on conventional US, Sonazoid-CEUS and PIVKA-II performs best for MVI prediction.The combined model has potential for preoperative prediction of MVI status.Graphical

Breast cancer imaging-clinical experience with two-dimensional-shear wave elastography: A retrospective study.

Breast cancer morbidity has been increasing worldwide, but treatments are improving. The therapeutic response depends on the stage at which the disease is diagnosed. Therefore, early diagnosis has never been more essential for successful treatment and a reduction in mortality rates. Radiology plays a pivotal role in cancer detection, and advances in ultrasound (US) palpation have shown promising results for breast cancer imaging. The addition of two-dimensional-shear wave elastography (2D-SWE) US in the routine breast imaging exam can increase early cancer detection and promote better surveillance. To evaluate the clinical applications of 2D-SWE US in breast cancer detection and its combination with other imaging modalities. The 200 consecutive female patients aged 50-80 were examined to evaluate palpable breast lesions. All patients underwent mammography, bright mode (B-mode) US, and 2D-SWE followed by US-guided biopsy in two consecutive sessions. Combining B-mode and shear wave US imaging with X-ray mammography revealed 100% of the suspicious lesions, resulting in greater sensitivity, specificity, and negative predictive value. The result improves compared to either B-mode or 2D-SWE alone (P = 0.02). Combining 2D-SWE with conventional US and X-ray techniques improves the chance of early cancer detection. Including 2D-SWE in regular breast imaging routines can reduce the need for biopsies and improve the chance of early cancer detection and survivability with the proper line of therapy.

Shear-Wave Elastography Improves Diagnostic Accuracy in Chronic Kidney Disease Compared to Conventional Ultrasound.

Non-invasive tests are increasingly demanded for diagnosing and prognostication of chronic kidney disease (CKD). Shear-wave elastography (SWE), an emerging technique for measuring tissue stiffness, shows promise for distinguishing between individuals with different stages of renal fibrosis. This study aimed to compare the diagnostic accuracy of two-dimensional SWE (2D-SWE) and conventional ultrasound for detecting CKD, employing renal biopsy as the gold standard. From May 2020 to October 2023, this prospective study included 30 healthy volunteers and 169 patients with CKD who had undergone 2D-SWE and conventional ultrasound of both kidneys. Cortical and medullary stiffness, cortical pixel intensity, renal length, parenchymal and cortical thickness, interlobar artery peak systolic velocity, end-diastolic velocity (EDV), and resistive index were measured. The diagnostic accuracy of 2D-SWE and conventional ultrasound was compared using the receiver operating characteristic curve (ROC) and Delong test. For diagnosing CKD, the area under the ROC (AUC) of cortical stiffness (0.96 [95% CI, 0.93, 0.99]) was significantly higher than that of all conventional ultrasound parameters, including EDV (0.78 [95% CI, 0.71, 0.86]) and cortical thickness (0.74 [95% CI, 0.67, 0.80]). The sensitivity of cortical stiffness (91%) was significantly higher than that of EDV (68%) and cortical thickness (53%). No significant difference was found in the specificity of cortical stiffness (96%) compared to that of EDV (79%) and cortical thickness (100%). Two-dimensional SWE showed higher diagnostic accuracy than that of conventional ultrasound for detecting CKD.

Value of contrast-enhanced ultrasound in differentiating granulomatous mastitis from invasive ductal carcinoma.

This study aims to analyze the imaging manifestations of granulomatous mastitis (GM) and invasive ductal carcinoma (IDC) using conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS). The objective is to investigate the clinical value of CEUS in differentiating between GM and IDC. We retrospectively enrolled 39 GM patients and 64 IDC patients between January 2020 and June 2023. All diagnoses were confirmed via core needle biopsy or surgical pathology. The characteristics of both conventional US and CEUS in these patients were analyzed to distinguish GM from IDC. Based on CEUS features, GM lesions most commonly presented as hypoechoic areas (43.6%), followed by pseudocysts (28.2%), hypoechoic nodules (15.4%), and honeycomb cysts (12.8%). The diffuse enhancement pattern was an independent characteristic for distinguishing GM from IDC, with the ROC analysis revealing an area under the curve (AUC) value of 0.794. US is the preferred initial examination for GM, and both its conventional and CEUS features can enhance diagnostic accuracy and guide clinical treatment. CEUS demonstrates high differential diagnostic value in distinguishing GM from IDC. This study categorizes GM manifestations on CEUS into four types, each corresponding to different pathological stages of GM. We identified that the diffuse enhancement pattern on CEUS is a distinctive characteristic associated with GM, aiding in its differentiation from IDC.

Encapsulated papillary carcinoma of breast: Comparative study of multimodal ultrasound manifestations and pathological features.

To investigate the conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) manifestations and the corresponding histopathological characteristics of patients diagnosed with breast encapsulated papillary carcinoma (EPC) and to explore the value of CEUS in diagnosis of EPC. The clinical, pathological, US, and CEUS features of 16 patients (17 lesions) with EPC confirmed by postoperative histopathology were retrospectively analyzed. EPC was prevalent in the postmenopausal women. The majority of conventional US images of EPC showed complex cystic and solid masses with circumscribed margins (70.6%), enhanced posterior echo (94.1%), no sonographic calcification (88.2%), rich blood flow in the solid components within lesions (70.6%) on Color Doppler flow imaging, and high resistance index of blood flow (94.1%). Moreover, CEUS showed mainly centripetal hyperenhancement of the solid components within the lesions with irregular outline, and the enhancement area of the whole masses was essentially the same as the B-mode US area. EPC typically presents as a complex cystic and solid mass. CEUS is helpful to clarify the extent of the solid component and facilitate preoperative core-needle biopsy. A comprehensive evaluation by CEUS is valuable for diagnosing EPC and combining it with clinical features are helpful to further improve the diagnosis of this rare kind of breast cancer.

8402 The Usefulness Of The Contrast-Enhanced Ultrasound (CEUS) In Preoperative Localization Of Parathyroid Gland Adenomas

Abstract Disclosure: A. Żyłka: None. K. Dobruch-Sobczak: None. H. Piotrzkowska-Wróblewska: None. P. Góralski: None. J. Gałczyński: None. E. Bakuła-Zalewska: None. M. Dedecjus: None. Objectives: Preoperative localization of parathyroid gland adenomas in patients diagnosed with primary hyperparathyroidism (pHPT) is challenging process. The aim of the study was to assessed the usefulness of contrast-enhanced ultrasound (CEUS) as complimentary diagnostic modality to conventional ultrasonography for detection of hyperfunctioning parathyroid gland lesions. Methods: Between the years 2021 and 2022, 36 adult patients (33 women and 3 men, aged 37-76) diagnosed with pHPT, underwent high-resolution ultrasound (US) and CEUS of parathyroid gland adenomas, suspected after fine-needle aspiration biopsy with positive parathormone (PTH) wash-out results and/or avid in 99mTechnetium -sestamibi scintigraphy. During CEUS examination 1.5 ml of SonoVue contrast has been injected and followed by analysing of qualitative CEUS enhancement features. All patients were qualified to surgical treatment according to clinical symptoms, laboratory and imaging findings and underwent parathyroidectomy with histopathologic results confirming parathyroid gland adenomas. Analysis of the B-mode features and visual CEUS enhancement patterns was performed retrospectively. Ten CEUS qualitative parameters of lesions were assessed including: homo- or heterogenous enhancement; hyper- or hypoenhancement; distribution of contrast in wash-in phase as: centripetal, centrifugal or combined and in wash-out phase as: centrally, peripherally or combined. Then the model was extended using the results based on US B-mode imaging which involved size, echogenicity, calcifications, cystic components and vascularity patterns assessed in Color Doppler (CD) and superb microvascular imaging (SMI). Results: Histopathologic results included 36 parathyroid adenomas (in 33 women and 3 men), the medium size 18.8mm (±11.1) and volume 3.7mm3 (±8.2). In B-mode US examination the majority of lesions were assessed as hypoechoic (n=36; 100%) with dominant inhomogenous echostructure (n=20; 55.5%), mixed vascularity (n=24; 66.6%) and polar vessel observed in 14 lesions (38.8%). There were no adenomas with calcifications, cystic components were observed only in 4 nodules (11.1%). In the CEUS study, dominated qualitative features were homogenous (n=22; 61,1%) and hyperenhancement (n=27; 75%), with centripetal distribution of contrast in wash-in phase (n=24; 66,6%) and dominant centrally wash-out of the contrast (n=20; 55,5%). Conclusions: Preliminary results indicate ultrasonographic patterns characteristic for parathyroid gland adenomas in multiparametric ultrasound involved CEUS examination, which seemed to be valuable tool for localization hyperfunctional parathyroid glands. Further multicenter studies should be performed to standardize qualitative CEUS features in order to diagnose primary hyperparathyroidism preoperatively. Presentation: 6/1/2024

8402 The Usefulness of the Contrast-Enhanced Ultrasound (CEUS) in Preoperative Localization of Parathyroid Gland Adenomas

Abstract Disclosure: A. Żyłka: None. K. Dobruch-Sobczak: None. H. Piotrzkowska-Wróblewska: None. P. Góralski: None. J. Gałczyński: None. E. Bakuła-Zalewska: None. M. Dedecjus: None. Objectives: Preoperative localization of parathyroid gland adenomas in patients diagnosed with primary hyperparathyroidism (pHPT) is challenging process. The aim of the study was to assessed the usefulness of contrast-enhanced ultrasound (CEUS) as complimentary diagnostic modality to conventional ultrasonography for detection of hyperfunctioning parathyroid gland lesions. Methods: Between the years 2021 and 2022, 36 adult patients (33 women and 3 men, aged 37-76) diagnosed with pHPT, underwent high-resolution ultrasound (US) and CEUS of parathyroid gland adenomas, suspected after fine-needle aspiration biopsy with positive parathormone (PTH) wash-out results and/or avid in 99mTechnetium -sestamibi scintigraphy. During CEUS examination 1.5 ml of SonoVue contrast has been injected and followed by analysing of qualitative CEUS enhancement features. All patients were qualified to surgical treatment according to clinical symptoms, laboratory and imaging findings and underwent parathyroidectomy with histopathologic results confirming parathyroid gland adenomas. Analysis of the B-mode features and visual CEUS enhancement patterns was performed retrospectively. Ten CEUS qualitative parameters of lesions were assessed including: homo- or heterogenous enhancement; hyper- or hypoenhancement; distribution of contrast in wash-in phase as: centripetal, centrifugal or combined and in wash-out phase as: centrally, peripherally or combined. Then the model was extended using the results based on US B-mode imaging which involved size, echogenicity, calcifications, cystic components and vascularity patterns assessed in Color Doppler (CD) and superb microvascular imaging (SMI). Results: Histopathologic results included 36 parathyroid adenomas (in 33 women and 3 men), the medium size 18.8mm (±11.1) and volume 3.7mm3 (±8.2). In B-mode US examination the majority of lesions were assessed as hypoechoic (n=36; 100%) with dominant inhomogenous echostructure (n=20; 55.5%), mixed vascularity (n=24; 66.6%) and polar vessel observed in 14 lesions (38.8%). There were no adenomas with calcifications, cystic components were observed only in 4 nodules (11.1%). In the CEUS study, dominated qualitative features were homogenous (n=22; 61,1%) and hyperenhancement (n=27; 75%), with centripetal distribution of contrast in wash-in phase (n=24; 66,6%) and dominant centrally wash-out of the contrast (n=20; 55,5%). Conclusions: Preliminary results indicate ultrasonographic patterns characteristic for parathyroid gland adenomas in multiparametric ultrasound involved CEUS examination, which seemed to be valuable tool for localization hyperfunctional parathyroid glands. Further multicenter studies should be performed to standardize qualitative CEUS features in order to diagnose primary hyperparathyroidism preoperatively. Presentation: 6/1/2024

Combination of Different Sectional Elastography Techniques with Age to Optimize the Downgrading of Breast BI-RAIDS Class 4a Nodules.

This study aims to optimize the downgrading of BI-RADS class 4a nodules by combining various sectional elastography techniques with age. We performed conventional ultrasonography, strain elastography (SE), and shear wave elastography (SWE) on patients. Quantitative parameters recorded included age, cross-sectional and longitudinal area ratios (C-EI/B, L-EI/B), strain rate ratios (C-SR, L-SR), overall average elastic modulus values (C-Emean1, L-Emean1), five-point average elastic modulus values (C-Emean2, L-Emean2), and maximum elastic modulus values (C-Emax, L-Emax). Histopathological evaluations showed that out of 230 lesions, 45 were malignant, and 185 were benign. The sensitivity and specificity of conventional ultrasonography were 100% and 0%, respectively. In contrast, SE and SWE exhibited higher specificity but lower sensitivity. Crosssectional parameters (C-EI/B, C-SR, C-Emean1, C-Emean2, and C-Emax) outperformed their longitudinal counterparts, with C-SR and C-Emax showing the highest specificity (72.43% and 73.51%) and satisfactory sensitivity (80.00% and 88.89%). Combining age with C-SR and C-Emax significantly improved diagnostic efficiency, achieving a sensitivity of 97.78% and a specificity of 77.30%. Integrating age with C-SR and C-Emax effectively reduces unnecessary biopsies for most BI-RADS 4a benign lesions while maintaining a very low misdiagnosis rate.

Using the GoogLeNet deep-learning model to distinguish between benign and malignant breast masses based on conventional ultrasound: a systematic review and meta-analysis.

Breast cancer is one of the most common malignancies in women worldwide, and early and accurate diagnosis is crucial for improving treatment outcomes. Conventional ultrasound (CUS) is a widely used screening method for breast cancer; however, the subjective nature of interpreting the results can lead to diagnostic errors. The current study sought to estimate the effectiveness of using a GoogLeNet deep-learning convolutional neural network (CNN) model to identify benign and malignant breast masses based on CUS. A literature search was conducted of the Embase, PubMed, Web of Science, Wanfang, China National Knowledge Infrastructure (CNKI), and other databases to retrieve studies related to GoogLeNet deep-learning CUS-based models published before July 15, 2023. The diagnostic performance of the GoogLeNet models was evaluated using several metrics, including pooled sensitivity (PSEN), pooled specificity (PSPE), the positive likelihood ratio (PLR), the negative likelihood ratio (NLR), the diagnostic odds ratio (DOR), and the area under the curve (AUC). The quality of the included studies was evaluated using the Quality Assessment of Diagnostic Accuracy Studies Scale (QUADAS). The eligibility of the included literature were independently searched and assessed by two authors. All of the 12 studies that used pathological findings as the gold standard were included in the meta-analysis. The overall average estimation of sensitivity and specificity was 0.85 [95% confidence interval (CI): 0.80-0.89] and 0.86 (95% CI: 0.78-0.92), respectively. The PLR and NLR were 6.2 (95% CI: 3.9-9.9) and 0.17 (95% CI: 0.12-0.23), respectively. The DOR was 37.06 (95% CI: 20.78-66.10). The AUC was 0.92 (95% CI: 0.89-0.94). No obvious publication bias was detected. The GoogLeNet deep-learning model, which uses a CNN, achieved good diagnostic results in distinguishing between benign and malignant breast masses in CUS-based images.

Elastography-based AI model can predict axillary status after neoadjuvant chemotherapy in breast cancer with nodal involvement: A prospective, multicenter, diagnostic study

Objective: To develop a model for accurate prediction of axillary lymph node (LN) status after neoadjuvant chemotherapy (NAC) in breast cancer patients with nodal involvement. Methods: Between October 2018 and February 2024, 671 breast cancer patients with biopsy-proven LN metastasis who received NAC followed by axillary LN dissection were enrolled in this prospective, multicenter study. Preoperative ultrasound (US) images, including B-mode ultrasound (BUS) and shear wave elastography (SWE), were obtained. The included patients were randomly divided at a ratio of 8:2 into a training set and an independent test set, with five-fold cross-validation applied to training set. We first identified clinicopathological characteristics and conventional US features significantly associated with the axillary LN response and developed corresponding prediction models. We then constructed deep learning radiomics (DLR) models based on BUS and SWE data. Models performances were compared, and a combination model was developed using significant clinicopathological data and interpreted US features with the SWE-based DLR model. Discrimination, calibration and clinical utility of this model were analyzed using receiver operating characteristic curve, calibration curve and decision curve, respectively. Results: Axillary pathologic complete response (pCR) was achieved in 52.41% of patients. In the test cohort, the clinicopathologic model had an accuracy of 71.30%, while radiologists’ diagnoses ranged from 64.26% to 71.11%, indicating limited to moderate predictive ability for the axillary response to NAC. The SWE-based DLR model, with an accuracy of 80.81%, significantly outperformed the BUS-based DLR model, which scored 59.57%. The combination DLR model boasted an accuracy of 88.70% and a false-negative rate of 8.82%. It demonstrated strong discriminatory ability (AUC, 0.95), precise calibration (p value obtained by Hosmer–Lemeshow goodness-of-fit test, 0.68), and practical clinical utility (probability threshold, 2.5-97.5%). Conclusions: The combination SWE-based DLR model can predict the axillary status after NAC in patients with node-positive breast cancer, and thus, may inform clinical decision-making to help avoid unnecessary axillary LN dissection.

Standard operating procedure (SOP) for cervical ultrasound cine loop video sequences in the follow-up of differentiated thyroid carcinoma (DTC).

Cervical ultrasound (US) is crucial in the follow-up of differentiated thyroid cancer (DTC). However, there are no guidelines for its acquisition and documentation, particularly concerning the role of additional video sequences, known as US cine loops (UCL). The aim of this study is to examine the clinical relevance (CR) of a new Standard Operating Procedure (SOP) for cervical UCL in DTC follow-up. A retrospective analysis was conducted on all UCL examinations of DTC follow-up patients at a tertiary care center between January 2010 and February 2018 to determine their clinical significance. The patients were divided into two groups: those with no documented CR (UCL-nCR) and those with documented CR (UCL-CR). The study reviewed the respective written medical US reports that were validated by experienced residents. The UCL-CR were categorized in: confirmation of a suspicious finding that was identified during conventional live US (UCL-CRcon), identification of a suspicious finding that was not identified during conventional live US (UCL-CRide), and invalidation of a suspicious finding that was identified during conventional live US (UCL-CRinv). A total of 5512 UCLs in 652 DTC patients were analyzed, with 71.5% women and a mean age of 50 years. More than 90% of the tumors were low-risk at initial staging. The mean number of UCLs per patient was 8.5 ± 4.6. Overall, 95 cases of UCL-CR were identified in 82 patients (12.6%), with a patient-based number needed to scan of 8. UCL-CRinv was the most common type of UCL-CR, accounting for 77 (81.1%) of cases. The occurrences of 12 UCL-CRcon (12.6%) and 6 UCL-CRide (6.3%) were correspondingly less frequent. The diagnosis of UCL-CR was confirmed in 91.6% of cases during the clinical course. In 12.6% of the patients, the additional acquisition and archiving of cervical UCL revealed clinical relevance in the course of DTC disease. The invalidation of suspicious findings through the retrospective analysis of former UCL occurred as the most significant benefit of this method. The UCL SOP can be easily and quickly integrated into the US workflow.

Prediction of Microinvasion in Breast Ductal Carcinoma in Situ Using Conventional Ultrasound Combined with Contrast-Enhanced Ultrasound Features: A Two-Center Study

BackgroundTo develop and validate a model based on conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) features to preoperatively predict microinvasion in breast ductal carcinoma in situ (DCIS). Patients and MethodsData from 163 patients with DCIS who underwent CUS and CEUS from the internal hospital was retrospectively collected and randomly apportioned into training and internal validation sets in a ratio of 7:3. External validation set included 56 patients with DCIS from the external hospital. Univariate and multivariate logistic regression analysis were performed to determine the independent risk factors associated with microinvasion. These factors were used to develop predictive models. The performance was evaluated through calibration, discrimination, and clinical utility. ResultsMultivariate analysis indicated that centripetal enhancement direction (odds ratio [OR], 13.268; 95% confidence interval [CI], 3.687-47.746) and enhancement range enlarged on CEUS (OR, 4.876; 95% CI, 1.470-16.181), lesion size of ≥20 mm (OR, 3.265; 95% CI, 1.230-8.669) and calcification detected on CUS (OR, 5.174; 95% CI, 1.903-14.066) were independent risk factors associated with microinvasion. The nomogram incorporated the CUS and CEUS features achieved favorable discrimination (AUCs of 0.850, 0.848, and 0.879 for the training, internal and external validation datasets), with good calibration. The nomogram outperformed the CUS model and CEUS model (all P < .05). Decision curve analysis confirmed that the predictive nomogram was clinically useful. ConclusionThe nomogram based on CUS and CEUS features showed promising predictive value for the preoperative identification of microinvasion in patients with DCIS.

Diagnostic Efficacy of Multimodal Ultrasound for Mass and Non-Mass Enhancements in Dynamic Contrast-Enhanced MRI of Idiopathic Granulomatous Mastitis and Breast Cancer

PurposeIdiopathic granulomatous mastitis (IGM) poses diagnostic challenges due to its diverse clinical and radiological presentations, often mimicking malignancies. This study aimed to assess the diagnostic efficacy of multimodal ultrasound for mass and non-mass enhancements in Dynamic Contrast-Enhanced MRI (DCE-MRI) of IGM and breast cancer. MethodsA retrospective analysis involved patients confirmed histopathologically with IGM and BC. All patients underwent conventional ultrasound (C-US), ultrasound elastography (UE), contrast-enhanced ultrasound (CEUS), and DCE-MR examinations. Blind experienced radiologists assessed imaging findings. Diagnostic accuracy, sensitivity, and specificity were calculated for mass and non-mass enhancements. ResultsFor mass enhancements (ME), multimodal ultrasound demonstrated strong efficacy (AUC = 0.8651, 95% CI: 0.7431 to 0.9871), exhibiting high sensitivity (83.3%) and specificity (92.4%) in differentiating IGM from breast cancer. However, for non-mass enhancements (NME), multimodal ultrasound showed limited accuracy (AUC = 0.6306) with lower sensitivity (65.6%) and specificity (81.2%) in distinguishing between IGM and breast cancer. ConclusionMultimodal ultrasound displayed good diagnostic efficacy for mass enhancements in DCE-MRI for idiopathic granulomatous mastitis and breast cancer, while for non-mass enhancement patterns, DCE-MRI remains the most valuable radiological modality for comprehensively assessing this condition's complexities.

The value of quantitative shear wave elastography combined with conventional ultrasound in evaluating and guiding fine needle aspiration biopsy of axillary lymph node for early breast cancer: implication for axillary surgical stage

ObjectivesTo investigate the value of conventional ultrasonography (US) combined with quantitative shear wave elastography (SWE) in evaluating and identifying target axillary lymph node (TALN) for fine needle aspiration biopsy (FNAB) of patients with early breast cancer.Materials and methodsA total of 222 patients with 223 ALNs were prospectively recruited from January 2018 to December 2021. All TALNs were evaluated by US, SWE and subsequently underwent FNAB. The diagnostic performances of US, SWE, UEor (either US or SWE was positive) and UEand (both US and SWE were positive), and FNAB guided by the above four methods for evaluating ALN status were assessed using receiver operator characteristic curve (ROC) analyses. Univariate and multivariate logistic regression analyses used to determine the independent predictors of axillary burden.ResultsThe area under the ROC curve (AUC) for diagnosing ALNs using conventional US and SWE were 0.69 and 0.66, respectively, with sensitivities of 78.00% and 65.00% and specificities of 60.98% and 66.67%. The combined method, UEor, demonstrated significantly improved sensitivity of 86.00% (p < 0.001 when compared with US and SWE alone). The AUC of the UEor-guided FNAB [0.85 (95% CI, 0.80–0.90)] was significantly higher than that of US-guided FNAB [0.83 (95% CI, 0.78–0.88), p = 0.042], SWE-guided FNAB [0.79 (95% CI, 0.72–0.84), p = 0.001], and UEand-guided FNAB [0.77 (95% CI, 0.71–0.82), p < 0.001]. Multivariate logistic regression showed that FNAB and number of suspicious ALNs were found independent predictors of axillary burden in patients with early breast cancer.ConclusionThe UEor had superior sensitivity compared to US or SWE alone in ALN diagnosis. The UEor-guided FNAB achieved a lower false-negative rate compared to FNAB guided solely by US or SWE, which may be a promising tool for the preoperative diagnosis of ALNs in early breast cancer, and had the potential implication for the selection of axillary surgical modality.

Combination of Conventional Ultrasound with Quantitative and Qualitative Analyses of CEUS for the Differentiation of Benign and Malignant Breast Solid Lesions: A Modified Breast Cancer Model

ObjectiveBreast cancer has become one of the main diseases threatening women’s health and lives. Ultrasound (US) is the first diagnostic option for several patients because of its non-radiation, convenient, and low-cost features. Conventional US combined with contrast-enhanced US (CEUS) has improved diagnostic accuracy, while due to the presence of numerous parameters, no international consensus on diagnostic criteria could be attained. Therefore, it is necessary to develop a reliable diagnostic model with the involvement of a few parameters while increasing the diagnostic accuracy. MethodsData from 265 patients, including conventional US, CEUS, and postoperative pathological results, were collected. 21 parameters from the conventional US and both qualitative and quantitative aspects of CEUS were analyzed through univariate and multivariate logistic regression analyses. Specific parameters with independent influential factors were identified. A nomogram was subsequently developed to visually represent the contribution and linear weighting of each parameter. The effectiveness of the new model was assessed through calibration curves and the Hosmer-Lemeshow goodness-of-fit test. ResultsSix independent influential factors for breast malignant tumors were identified, including homogeneous echo, lesion vascularity, enhancement mode, enhancement shape, nourishing vessels, and slope. The area under the curve (AUC) values in the training and test datasets were 0.933 and 0.860, respectively. The modified model exhibited satisfactory diagnostic accuracy and operability. ConclusionThe modified model, despite incorporating fewer parameters, maintained diagnostic accuracy. It is exhibited as a convenient, effective, and easily deployable model for diagnosing malignant breast nodules.

Quantitative analysis of contrast-enhanced ultrasound and superb microvascular imaging for the evaluation of disease activity in inflammatory bowel disease.

To evaluate the effectiveness of conventional US (ultrasound), SMI (superb microvascular imaging), and CEUS (contrast-enhanced ultrasound) features for the assessment of the activity of inflammatory bowel disease. Conventional US, CEUS and SMI features of 76 patients were retrospectively analyzed. Patients were categorized into two groups: active group (n = 57) and inactive group (n = 19), with endoscopic results as reference standard. Results in the active group and inactive group were compared using an independent t-test, Mann-Whitney U test, chi-square test, and receiver operating characteristic curve (ROC) analysis. Cut-off values were determined using ROC analysis, and sensitivity and specificity were calculated. US quantitative and TIC-based quantitative parameters were analyzed, and each patient was scored based on the parameters that are statistically significant and immediately available in the clinic to evaluate the diagnostic ability of conventional US, SMI, and CEUS features for active IBD patients. Qualitative parameters such as CEUS enhancement pattern I/II, LimbergIII/IV, and lost bowel stratification were reliable indicators of active patients. Quantitative parameters such as bowel thickness and VI of mSMI were reliable indicators of active patients. Patients scored based on these statistically significant parameters with a score ≥3, were highly suspected to be active patients. For TIC-based quantitative parameters, PE, WiAUC, WoAUC, WiWoAUC, WiR, WiPI, and WoR were statistically significant in the differentiation of active IBD from inactive IBD. Conventional US, SMI, and CEUS features may help in the differentiation of active IBD from inactive IBD and have potential application value in the choice of treatment options.

The added value of shear wave elastography when combined to conventional ultrasonography and fine-needle aspiration cytology in detection of malignant thyroid nodule

BackgroundThis study aims to evaluate the effectiveness of ultrasound criteria, TI-RADS score, and elastography in distinguishing benign thyroid nodules from malignant ones, as a substitute for invasive diagnostic procedures. Although the minority of thyroid nodules is malignant, invasive diagnostic procedures are often necessary.MethodsIn this prospective study, a total of 104 thyroid nodules were assessed using fine-needle aspiration cytology. The euthyroid state of the patients was ensured. Conventional ultrasound and shear wave elastography (SWE) were performed by a single experienced operator. Final postoperative histopathologic findings were compared to conventional ultrasound and elastography findings.ResultsSWE elasticity indices (EIs) were found to be significantly higher in malignant nodules than benign ones (p < 0.05). Combined results of both TI-RADS and SWE increased the sensitivity of detection of malignant nodules.ConclusionCombined SWE and TI-RADS could enhance the diagnostic accuracy in differentiating thyroid nodules by leveraging their complementary strengths.