Preoperative Clinical and Ultrasonographic Predictors for Aggressive Behaviors in Sporadic Medullary Thyroid Carcinomas.

Objective: To explore the clinical and ultrasonographic predictors for aggressive behaviors preoperatively in sporadic medullary thyroid carcinomas (MTCs). Materials and Methods: The preoperative clinical and ultrasonographic characteristics of patients diagnosed with MTCs between January 2009 and May 2022 were retrospectively reviewed. MTCs were described and categorized according to the American College of Radiology (ACR) thyroid imaging reporting and data system classification by 2 radiologists. Interobserver agreement was evaluated by kappa test. Univariate and multivariate analyses were performed to identify predictors of aggressive behaviors in MTCs. The log-rank test was utilized to compare differences in Kaplan-Meier (K-M) curves for postoperative disease-free survival (PDFS). Results: A total of 120 patients were enrolled in the final study. Male sex was significant risk factor for metastasis, perithyroidal invasion, and lateral cervical lymph node (LCLN) metastasis [odds ratio (OR): 3.109, P = .019; OR: 5.316, P = .018; OR: 5.154 P = .012, respectively]. The kappa values for all ultrasonic characteristics were high (ranged from 0.811 to 0.941). Size, focality, and margin of the nodule were independent risk factors for metastasis, as well as for LCLN metastasis. Whereas margin (P < .001) and a subcapsular location (P = .021) were risk factors for perithyroidal invasion. According to K-M analysis, PDFS of patients differed significantly between groups with/without metastasis (P < .001), groups with/without perithyroidal extension (P < .001) and groups with/without LCLN metastasis (P < .001). Conclusions: Male sex is an independent risk factor for metastasis, perithyroidal invasion, and LCLN metastasis. The large size (≥2.55 cm for metastasis, ≥2.15 cm for LCLN metastasis, respectively), multifocality, and irregular margin of nodules were independent risk factors for both metastasis and LCLN metastasis. Extrathyroidal extension and a subcapsular location were risk factors for perithyroidal invasion. Moreover, patients with metastasis/perithyroidal extension/LCLN metastasis exhibited worse PDFS.

The usefulness of ultrasound in identifying the underlying findings linked to pain in podagra patients.

AIM: To explore whether ultrasound (US) can be employed to identify the underlying characteristics associated with pain in patients with podagra by evaluating the relationship between ultrasound findings and clinical pain. MATERIAL AND METHODS:  Patients with podagra were recruited and grouped into a pain group (G1, 82 patients) and a non pain group (G2, 123 patients). US features were collected and compared. US data were analyzed by binary logistic regression analysis and ROC analysis. Interobserver reliability was assessed, too. RESULTS: A total of 205 patients (196 male and 9 female) were enrolled in this study. In multivariate analysis, the thickness of the synovium (OR=1.928, CI=1.074-3.463), CD (color Doppler) signal of the synovium (OR=1.458, CI=1.011-2.103), and CD signal of the tophi (OR=1.576, CI=1.142-2.177) were identified as risk factors for clinical pain. Areas under the ROC curves (AUC) were 0.713, 0.686 and 0.641 for the three indicators, respectively. The best cutoff points were 1 mm for the thickness of the synovium, grade 1 for the CD signal of the synovium and grade 2 for the CD signal of the tophi. CONCLUSIONS: Ultrasound can provide valuable information for determining underlying features associated with pain in patients with podagra.

Primary Malignant Melanoma in the Parotid Gland: A Case Report and Literature Review.

Primary melanoma of the parotid gland is an extremely rare and challenging tumor with a poor prognosis, and its ultrasonic characteristics have yet to be reported. This article presents a case of a 77-year-old man with a left parotid mass that was confirmed as a melanoma following surgery. The ultrasonic features of melanoma were examined in detail, with a particular focus on their diagnostic value. Furthermore, we summarized the clinical characteristics, treatment options, and outcomes associated with primary melanoma of the parotid gland based on a thorough analysis of the available literature.

The value of musculoskeletal ultrasound in predicting gout flares in index joints: A prospective cohort study of people with gout starting urate-lowering therapy.

OBJECTIVES: To evaluate whether ultrasound findings of monosodium urate (MSU) crystal deposition predict frequent gout flares in index joints over 12 months. METHODS: This single-center study enrolled people with at least one gout flare involving the MTP1, ankle or knee joint. The most painful or most frequently joint was identified as index joint for analysis. All participants were started on urate-lowering therapy and had an ultrasound scan of the index joints at the baseline visit. OMERACT scores (for tophus, double contour sign and aggregates) were used to analyze whether ultrasound scores predicted frequent (≥2) gout flares in the index joint over 12 months. RESULTS: Frequent flares were significantly higher in those with ultrasound findings in all index joints (MTP1: tophus: 85.0% vs 46.0%, P < 0.001, aggregates: 78.8% vs 59.0%, P < 0.01; ankle: tophus: 54.6% vs 20.8%, P < 0.001; aggregates: 60.0% vs 35.9%, P < 0.05; knee: tophus: 68.4% vs 28.6%, P < 0.05). For the MTP1, for each 1-point increase in tophus score, the odds of frequent gout flares increased by 5.19 [(95%CI: 1.26-21.41), 7.91 [(95%CI: 2.23-28.14), and 13.79 [(95%CI: 3.79-50.20)] fold respectively. For the ankle, a tophus score of 3 markedly improved the prediction of the frequent flares [OR= 9.24 (95%CI=2.85-29.91)]. Semi-quantitative sum scores were associated with frequent flares with an OR (95%CI) of 13.66 (3.44-54.18), P < 0.001 at the MTP1, 7.05 (1.98-25.12), P < 0.001 at the ankle. CONCLUSION: Ultrasound features of MSU crystal deposition at the MTP1 and knee predict subsequent risk of frequent gout flares in the same joints following initiation of urate-lowering therapy, with the highest risk in those with high tophus scores.

Association of the Quantity, Duration, and Type of Alcohol Consumption on the Development of Gouty Tophi.

OBJECTIVE: To examine the association of alcohol consumption with the presence and development of ultrasound (US)-detected tophi and subcutaneous tophi in a Chinese gout population. METHODS: A total of 554 patients with gout who underwent US and physical examination of the most frequently involved joints in gout were included in this study. Multivariable analysis was performed to assess the associations of the duration, quantity, and type of alcohol consumption with the presence, size, and number of US-detected tophi and subcutaneous tophi. RESULTS: Compared to non-drinkers, excessive drinkers (>70 gm/week), long-term drinkers (≥10 years), and spirits drinkers had a greater proportion, size, and number of US-detected tophi and subcutaneous tophi (all P < 0.05). After adjusting for confounders, excessive drinking (>70 gm/week) (odds ratio [OR] 1.79 [2.00 after adjustment]), long-term alcohol consumption (≥10 years) (OR 1.96 [2.17 after adjustment]), and spirits consumption of (OR 1.81 [2.10 after adjustment]) were significantly associated with the presence of US-detected tophi and subcutaneous tophi (all P < 0.05), with the highest ORs among the identified risk factors. Among patients who already had US-detected tophi or subcutaneous tophi, moderate drinking (≤70 gm/week) was associated with larger or multiple tophi (all P < 0.05). CONCLUSION: Longer duration and higher quantity of alcohol consumption as well as spirits consumption are predictors for the development of US-detected tophi and subcutaneous tophi in patients with gout. Among individuals who have US-detected tophi and subcutaneous tophi, weekly alcohol consumption leads to the development of tophi regardless of amount consumed.

Predictive value of ultrasonic features and microscopic extrathyroidal extension in the recurrence of PTC.

PURPOSE: To determine the clinical value of ultrasonic features, especially extrathyroidal extension (ETE), in the prediction of PTC recurrence. METHOD: A total of 863 patients with PTC confirmed by pathological examinations from January 2012 to August 2018 were selected in this study, including 59 cases of recurrence. The Cox-proportional hazards regression analysis and Kaplan-Meier method were adopted to determine the relationship between the variables and recurrence free survival (RFS). RESULTS: The recurrence rate of PTC is 6.8 %. Tumor maximum diameter, margin, multifocality, microcalcifications, ETE and preoperative lymph node metastasis were valuable predictive factors in univariate survival analysis. Tumor larger than 20 mm, multifocality and lateral cervical lymph node metastasis were independent risk factors for PTC recurrence, and lymph node metastasis has the highest hazard ratio (HR). Preoperative lateral cervical lymph node metastasis was more often found in the gross and extensive ETE groups. Microscopic ETE has little value in predicting PTC recurrence and has no correlation with preoperative cervical lymph node metastasis. CONCLUSIONS: Tumor maximum diameter >20 mm, multifocality and lateral cervical lymph node metastasis were independent risk factors for PTC recurrence. Preoperative lateral cervical lymph nodes should be carefully examined when gross ETE and extensive ETE were detected. Microscopic ETE has no impact on preoperative cervical lymph node metastasis or tumor recurrence.

A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification.

Medical ultrasound imaging technology is currently the preferred method for early diagnosis of thyroid nodules. Radiologists' analysis of ultrasound images is highly dependent on their clinical experience and is susceptible to intra- and inter-observer variability. Although end-to-end deep learning technique can address these limitations, the difficulty of acquiring annotated medical image makes it very challenging. Transfer learning can alleviate the problems, but the large gap between source and target domain will lead to negative transfer. In this paper, a novel transfer learning method with distant domain high-level feature fusion (DHFF) model is proposed. It reduces the distribution distance between the source domain and the target domain while maintaining the characteristics of respective domains, which can avoid excessive feature fusion while enabling the model to learn more valuable transfer knowledge. The DHFF is validated by multiple public source and private target datasets in experiments. The results show that the classification accuracy of DHFF is up to 88.92% with thyroid ultrasound auxiliary source domains, which is up to 8% higher than existing transfer and distant transfer algorithms.

EMT-NET: EFFICIENT MULTITASK NETWORK FOR COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER.

Deep learning-based computer-aided diagnosis has achieved unprecedented performance in breast cancer detection. However, most approaches are computationally intensive, which impedes their broader dissemination in real-world applications. In this work, we propose an efficient and light-weighted multitask learning architecture to classify and segment breast tumors simultaneously. We incorporate a segmentation task into a tumor classification network, which makes the backbone network learn representations focused on tumor regions. Moreover, we propose a new numerically stable loss function that easily controls the balance between the sensitivity and specificity of cancer detection. The proposed approach is evaluated using a breast ultrasound dataset with 1511 images. The accuracy, sensitivity, and specificity of tumor classification is 88.6%, 94.1%, and 85.3%, respectively. We validate the model using a virtual mobile device, and the average inference time is 0.35 seconds per image.

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation.

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS computer-aided diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the last two decades, but the performances of most approaches have been assessed using relatively small private datasets with different quantitative metrics, which results in a discrepancy in performance comparison. Therefore, there is a pressing need for building a benchmark to compare existing methods using a public dataset objectively, to determine the performance of the best breast tumor segmentation algorithm available today, and to investigate what segmentation strategies are valuable in clinical practice and theoretical study. In this work, a benchmark for B-mode breast ultrasound image segmentation is presented. In the benchmark, (1) we collected 562 breast ultrasound images and proposed standardized procedures to obtain accurate annotations using four radiologists; (2) we extensively compared the performance of 16 state-of-the-art segmentation methods and demonstrated that most deep learning-based approaches achieved high dice similarity coefficient values (DSC ≥ 0.90) and outperformed conventional approaches; (3) we proposed the losses-based approach to evaluate the sensitivity of semi-automatic segmentation to user interactions; and (4) the successful segmentation strategies and possible future improvements were discussed in details.

Sonographic predictors of aggressive behavior in medullary thyroid carcinomas.

OBJECTIVE: To identify the clinical and sonographic risk factors for aggressive behavior of Medullary Thyroid Carcinomas (MTCs). MATERIAL AND METHODS: This is a retrospective analysis. The informed consents were waived. Totally, 127 patients were selected from the database. Two radiologists were invited to review the clinical records and ultrasonic images and scored all the cases according to ACR TI-RADS, retrospectively. Kappa test was used to evaluate the consistency between the two reviewers. Logistic regression analysis was carried to identify the risk factors for aggressive behaviors of MTCs. Comparison of survival proportions between different groups were calculated by Kaplan-Meier method and log-rank test. RESULTS: Female patients with MTCs were more commonly seen than male (1.7:1), male sex was a risk factor for both metastasis (OR: 4.471, P = 0.001) and perithyroidal invasion (OR = 4.674, P = 0.004). Consistency between the two reviewers were quite high (K value, 0.797-0.988). On sonograms, typical MTCs manifest as hypoechoic (96.9%) solid nodules (94.5%). Sex of patients (P = 0.001), margin (P = 0.003) and focality (P = 0.01) of the nodule were independent risk factors for metastasis, whereas sex of the patients (P = 0.004) and margin (P = 0.000) were independent risk factors for perithyroidal invasion. By Kaplan-Meier analysis, survival proportions different between groups with/without perithyroidal extension (P = 0.000) but not between groups with/without metastasis (P = 0.473). CONCLUSION: High frequency ultrasound and TI-RADS were effective methods for preoperative diagnosis of MTC. Sex of the patients and margin of the nodule are common risk factors for both metastasis and perithyroidal invasion. Focality of the tumor is another independent risk factor for metastasis.

Tumor saliency estimation for breast ultrasound images via breast anatomy modeling.

Tumor saliency estimation aims to localize tumors by modeling the visual stimuli in medical images. However, it is a challenging task for breast ultrasound (BUS) image due to the complicated anatomic structure of the breast and poor image quality; and existing saliency estimation approaches only model the generic visual stimuli, e.g., local and global contrast, location, and feature correlation, and achieve poor performance for tumor saliency estimation. In this paper, we propose a novel optimization model to estimate tumor saliency by utilizing breast anatomy. First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues. The extensive experiments demonstrate that the proposed approach obtains more accurate foreground and background maps with breast anatomy; especially, for the images having large or small tumors. Meanwhile, the new objective function can handle the images without tumors. The newly proposed method achieves state-of-the-art performance comparing to eight tumor saliency estimation approaches using two BUS datasets.

Fat-poor renal angiomyolipoma combined with pseudoaneurysm: a case report.

Renal angiomyolipoma (RAML), a rare benign mesenchymal tumor, consists of variable proportions of thick-walled blood vessels admixed with adipose tissue and bundles of smooth muscle. Rarely, RAML angiomyolipoma may be associated with pseudoaneurysm, spontaneous rupture and hemorrhage. we herein present an exceptional case of fat-poor RAML containing a large pseudoaneurysm in a 48-yearold woman with known pulmonary lymphangioleiomyomatosis (PLAM), who was admitted to hospital due to right flank pain for about two months. To avoid risk of rupture of the pseudoaneurysms, transcatheter arterial embolization (TAE) procedure was performed, at the same time taking into account of the possibility of malignancy in such a large neoplasm, right radical nephrectomy was taken five days later. This case was benign and the 1-year follow-up ultrasonic examination showed no recurrence. This is the first report that the patient had a sporadic giant RAML with pseudoaneurysm which was not associated with the TSC, and to our knowledge, such cases have not been explored in literature. This case reminds us that giant sporadic RAML with pseudoaneurysm, although rare, does exist, and we should improve the understanding of the neoplasm. Early detection and therapeutic interventions of pseudoaneurysm in an AML patient can reduce serious complications.

The role of preoperative ultrasound, contrast-enhanced ultrasound, and 99mTc-MIBI scanning with single-photon emission computed tomography/X-ray computed tomography localization in refractory secondary hyperparathyroidism.

OBJECTIVE: The aim of our study was to evaluate the role of preoperative US, CEUS, and 99mTc-MIBI scanning with SPECT/CT in localizing diseased parathyroid glands in cases of refractory secondary hyperparathyroidism (SHPT). MATERIAL AND METHODS: Using pathological results as the gold standard, we compared the operative findings with the preoperative localization of each modality in 73 nodules and evaluated the accuracy, and sensitivity of each modality and combinations of the four modalities. RESULTS: The sensitivity of US, CEUS, 99mTc-MIBI and SPECT/CT was 98.59%, 94.37%, 50.70% and 78.87%, respectively. US had the highest sensitivity of the four imaging methods and the diagnostic sensitivity of US and CEUS was superior to that of 99mTc-MIBI (p < 0.001 and p < 0.001) and SPECT/CT (p = 0.001 and p = 0.012). In addition, we found that the sensitivity of the combination of US with CEUS, US with 99mTc-MIBI and/or SPECT/CT, CEUS with 99mTc-MIBI and/or SPECT/CT, US with CEUS and two other imaging modalities (99mTc-MIBI and/or SPECT/CT) was 98.59%, 100%, 95.77%, and 100%, respectively. CONCLUSIONS: The combination of US with SPECT/CT is the best choice for the comprehensive preoperative localization of glands in refractory SHPT. CEUS can elevate the accuracy of US in differential diagnosis via the interpretation of dynamic microvascular features.

Chlorination Treatment of Meta-Aramid Fibrids and Its Effects on Mechanical Properties of Polytetramethylene Ether Glycol/Toluene Diisocyanate (PTMEG/TDI)-Based Polyurethane Composites.

Meta-aramid fibrids (MAF) have attracted much attention. However, it is difficult for this high mechanical performance fiber to form sufficient interface adhesion between the MAF and polyurethane (PU) matrix due to the chemical inertness of its surface. Thus, the surface activity of MAF should be improved to obtain a high-performance MAF/PU composite. A novel methodology to modify the surface of MAF with a sodium dichloroisocyanurate solution (DCCNa) was developed to obtain chlorinated MAF (MAFC) in this study. A series of MAFC/PU composites was prepared by in situ polymerization processes. The results of Fourier-transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS) demonstrated that the chlorine-contained chemical groups were introduced onto the MAF surfaces after chlorination. Dynamic contact angle analysis (DCAA) revealed that the surface wettability and the surface free energy of the MAFC were significantly improved, which allowed for strong chemical bonding to PU. Scanning electron microscopy (SEM) showed a uniform distribution of MAFC and good interfacing bonding between the MAFC and PU. With the incorporation of 1.5 wt% MAFC into the polyurethane matrix, the tensile and tear strength values of MAFC/PU were 36.4 MPa and 80.1 kN·m-1 respectively, corresponding to improvements of approximately 43.3% and 21.1%, as compared to those of virgin PU as 25.4 MPa and 66.1 kN·m-1, respectively.

Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors.

BACKGROUND: This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. METHODS: A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs. RESULTS: RMI I had the highest AUC (0.825, 95% CI: 0.790-0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804-0.871) and MBOT (0.791, 95% CI: 0.749-0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9-90.7%), SBOT (87.6, 95% CI: 83.9-90.7%) and MBOT group (87.6, 95% CI: 83.9-90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1-76.7%), SBOT (74.34, 95% CI: 65.3-82.1%) and MBOT (59.18, 95% CI: 44.2-73.0%) group. CONCLUSION: Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.

Clinical and sonographic characteristics of Warthin-like variant papillary thyroid carcinomas.

AIM: To summarize the clinical, ultrasonographic (US) and pathological characteristics of Warthin-like variant papillary thyroid carcinomas (WVPTC). MATERIAL AND METHODS: Medical records and US images of 32 cases of WVPTCs diagnosed between December, 2006 and September, 2018 were reviewed. Clinical, pathological and US characteristics of these cases were collected and summarized. ACR TI-RADS was followed during the analysis of the US features of the lesions. Results: Totally, 32 patients with 33 WVPTC nodules were reviewed. WVPTC was more often seen in female patients (27/32,84.4%) with a relatively high age (mean age, 51.0±10.8 years old). Hyperthyroidism was observed in 14 patients; 2 patients were diagnosed as subclinical hyperthyroidism and 1 patient as subclinical hypothyroidism. Abnormal thyroglobulin antibody was detected in 22 patients. Mean size of the nodule was 1.2±0.5 cm (range, 0.5~2.99 cm) on US. Pathologically, tumor margin of 63.6% carcinomas were infiltrative but most (72.9%) of the enrolled carcinomas were intra-thyroidal. Lymphocytic thyroiditis was detected in 87.5% (28/32) patients. On US, most WVPTCs were solid or almost complete solid (32/33, 97.0%) and very hypoechoic (26/33, 78.8%). Taller-than-wide shape (6/33, 18.2%) and punctate echogenic foci (9/33, 27.3%) were not popular. All the nodules were scored higher than 5 points according to the ACR TI-RADS, including 9 nodules that were classified into TR4 and 24 nodules as TR5. Follow-up information was available in 31 patients and no recurrence or distal metastasis was detected. CONCLUSIONS: WVPTC is a rare variant of PTCs with favorable outcomes. Very hypoechoic echogenicity, solid or almost complete solid composition are the vital indicators for biopsy, even though the nodule may be wider-than-tall and have a lack of punctuate echoic foci.

Association between the sonographer's experience and diagnostic performance of IOTA simple rules.

BACKGROUND: To validate the clinical value of simple rules in distinguishing malignant adnexal masses from benign ones and to explore the effect of simple rules for experienced and less-experienced sonographers. METHODS: Patients with persistent adnexal masses were enrolled between November 2013 and December 2015. All masses were proven through histological examinations. Five sets of diagnoses were made and compared with one another. Diagnosis 1 was made, according to the simple rules, by a trainee with little clinical diagnostic experience. Diagnoses 2 and 3 were made by experienced and less-experienced sonographers, respectively, according to their clinical experiences. With diagnosis 1 as a reference, the two sonographers were asked to provide a second diagnosis, which were diagnoses 4 and 5. The efficiency of the five sets of diagnoses was compared using ROC curves. RESULTS: In total, 75 malignant (37.7%) and 124 benign lesions (62.3%) were enrolled in this study. The mean diameter of the benign masses was obviously smaller than that of the malignant ones (6.8 ± 3.4 cm vs. 9.3 ± 4.9 cm, p < 0.01). The malignant ratio in postmenopausal women was much higher (66.1%) than that in the premenopausal population (25.7%) (p < 0.0001). Totally, 156 of the 199 cases (79.4%) resulted in conclusive diagnoses. Sensitivity and specificity were 98.4% and 73.9%, respectively, among the conclusive cases. The area under the ROC curve (Az) for the simple rule diagnosis was significantly lower than that for the experienced sonographer diagnosis (0.85 vs. 0.96, p < 0.0001); compared with the less-experienced sonographer, this difference was not significant (0.85 vs. 0.86, p = 0.9776). No significant difference was found in the comparison between the diagnoses made by the experienced sonographer before and after referencing the simple rule diagnosis (Az, 0.96 vs. 0.97, p = 0.2055). Using diagnosis 1 as a reference, the diagnostic performance of the less-experienced sonographer increased (from 0.86 to 0.92, p = 0.012); however, it was still lower than that of the experienced sonographer (Az, 96% vs. 92%, p = 0.0241). CONCLUSIONS: The simple rules was an appealing method for discriminating malignant masses from benign ones, particularly for a less-experienced sonographer.

Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis.

PURPOSE: The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases. METHODS: In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns: (I) microcalcifications inside one (a) or more (b) suspected nodules, (II) microcalcifications not only inside but also surrounding a suspected single (a) or multiple (b) nodules, and (III) focal (a) or diffuse (b) microcalcifications in the absence of any suspected nodule. Differences in distribution patterns of microcalcifications in benign and malignant thyroid lesions were compared. RESULTS: We found that the distribution patterns of microcalcifications differed between malignant (n = 325) and benign lesions (n = 117) (X 2 = 9.926, p < 0.01). Benign lesions were classified as type Ia (66.7%), type Ib (29.1%) or type IIIa (4.3%). The specificity of type II and type IIIb in diagnosing malignant cases was 100%. Among malignant lesions, 172 locations were classified as type Ia, 106 as type Ib, 12 as type IIa, 7 as IIb, 7 as type IIIa and 19 as type IIIb. Accompanying Hashimoto thyroiditis was most frequent in type III (51.6%). CONCLUSIONS: Types II and IIIb are highly specific for cancer detection. Microcalcifications outside a nodule and those detected in the absence of any nodule should therefore be reviewed carefully in clinical practice. KEY POINTS: • A method to classify distribution patterns of thyroid microcalcifications is presented. • Distribution features of microcalcifications are useful for diagnosing thyroid cancers. • Microcalcifications outside a suspicious nodule are highly specific for thyroid cancers. • Microcalcifications without suspicious nodules should also alert the physician to thyroid cancers.

Assessing Risk Category of Breast Cancer by Ultrasound Imaging Characteristics.

The purpose of our study was to assess the potential clinical value of ultrasound imaging in predicting risk category in patients with breast cancer. Three hundred thirty-six patients were enrolled and divided into a high-risk group (99, 29.5%) and mid- to low-risk group (237, 70.5%) according to the St. Gallen risk criteria. All data were retrospectively collected to analyze correlations between ultrasound features and risk category. The results revealed that the ultrasound features of irregular shape (p= 0.002), vertical growth orientation (p= 0.002), angular contour (p= 0.022) and high color Doppler flow imaging grade (p= 0.001) tended to be present in images of the high-risk group. Therefore, tumor ultrasound features should be recognized as an ideal option for determination of risk category in patients with breast cancer.

Ultrasound Features of Breast Cancer for Predicting Axillary Lymph Node Metastasis.

OBJECTIVES: The purpose of this study was to assess the clinical value of ultrasound (US) features of breast lesions for predicting the risk of axillary lymph node metastasis in patients with breast cancer. METHODS: In this retrospective study, 425 patients with breast cancer were recruited, and their preoperative US features and postoperative pathologic results were collected. The association of these US features of breast cancer with axillary lymph node metastasis was determined by univariate and multivariate analyses. RESULTS: Among the 425 patients, 200 (47.1%) had axillary lymph node metastasis, and 225 (52.9%) did not. The parameters of tumor shape, color Doppler flow imaging grades, histologic grade, and E-cadherin level were significantly and independently associated with axillary lymph node metastasis (P < .05 for all). CONCLUSIONS: Axillary lymph node metastasis was prone to happen in patients with US features of an irregular tumor shape and higher color Doppler flow imaging grades. Ultrasound imaging provides a promising tool for predicting axillary lymph node metastasis in patients with breast cancer.