Hyperechoic Spots in the Renal Medulla as a Potential Indicator of Early Gouty Nephropathy.

INTRODUCTION: The aim of the study was to explore the causes and clinical significance of hyperechoic renal medulla observed by ultrasonography in patients with primary gout. METHODS: This study included 2,107 patients with primary gout treated in the Gout Clinic of our hospital from 2016 to 2022. The clinical data and biochemical data of these patients were collected and analyzed. According to the presence or absence of punctate hyperechogenicity in the renal medulla on ultrasound examination, the patients were divided into the hyperechoic medulla (HM) and the normal hypoechoic medulla (NM) groups, and the HM group was further divided into the partial HM (P-HM) and fulfilled HM (F-HM) subgroups according to the distribution range of hyperechogenicity. RESULTS: Among the 2,107 patients with primary gout, 380 had hyperechoic renal medulla on renal ultrasound, including 106 patients with F-HM and 274 with P-HM. There were significant differences in the gout duration, urate arthropathy number, serum urate (SU) level, clinical tophi number, blood urea nitrogen, serum creatinine (sCr), and estimated glomerular filtration rate between the HM and NM groups or between the F-HM and P-HM subgroups (p < 0.05). Multivariate regression analysis showed that the presence of HM was positively correlated with gout duration, urate arthropathy number, gout attack frequency, SU, and sCr. The number of clinical tophi and sCr were closely related to F-HM. CONCLUSION: Ultrasound examination showed that a high medulla echo in patients with gout was often related to renal function damage. P-HM may be a transitory condition between NM and F-HM in patients with gout.

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.

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.

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.

Bone marrow mesenchymal stem cells protected post-infarcted myocardium against arrhythmias via reversing potassium channels remodelling.

Bone marrow mesenchymal stem cells (BMSCs) emerge as a promising approach for treating heart diseases. However, the effects of BMSCs-based therapy on cardiac electrophysiology disorders after myocardial infarction were largely unclear. This study was aimed to investigate whether BMSCs transplantation prevents cardiac arrhythmias and reverses potassium channels remodelling in post-infarcted hearts. Myocardial infarction was established in male SD rats, and BMSCs were then intramyocardially transplanted into the infarcted hearts after 3 days. Cardiac electrophysiological properties in the border zone were evaluated by western blotting and whole-cell patch clamp technique after 2 weeks. We found that BMSCs transplantation ameliorated the increased heart weight index and the impaired LV function. The survival of infarcted rats was also improved after BMSCs transplantation. Importantly, electrical stimulation-induced arrhythmias were less observed in BMSCs-transplanted infarcted rats compared with rats without BMSCs treatment. Furthermore, BMSCs transplantation effectively inhibited the prolongation of action potential duration and the reduction of transient and sustained outward potassium currents in ventricular myocytes in post-infarcted rats. Consistently, BMSCs-transplanted infarcted hearts exhibited the increased expression of K(V)4.2, K(V)4.3, K(V)1.5 and K(V)2.1 proteins when compared to infarcted hearts. Moreover, intracellular free calcium level, calcineurin and nuclear NFATc3 protein expression were shown to be increased in infarcted hearts, which was inhibited by BMSCs transplantation. Collectively, BMSCs transplantation prevented ventricular arrhythmias by reversing cardiac potassium channels remodelling in post-infarcted hearts.

Role of ultrasound in diagnosing isolated torsion of fallopian tube.

AIM: To summarize the ultrasonic features of isolated fallopian tube torsion (IFTT) by retrospectively analyzing cases presenting at our hospital. METHODS: This analysis was approved by the ethical committee of our hospital. Medical records of surgically proven IFTT patients admitted to our hospital since 2002 were collected. Clinical features and preoperative diagnoses of the patients were analyzed retrospectively. Ultrasonic images were reviewed and characteristics, including location, size, shape, echo and vascularity of the fallopian tube, were summarized. RESULTS: Eleven patients with IFTT were studied. No obvious association was found between the torsion and menstruation cycle. Only four accurate diagnoses were made before the operation. Degrees of torsion ranged 360-2160°. Most of them (9/11, 81.8%) were greater than 720°. Sonograms of the 11 patients could be classified into four types: cystic masses, tube-like structures, heterogeneous masses and whirlpool signs. Cystic masses were the most commonly seen type (4/11, 36.4%), followed by tubular structures (3/11, 27.3%). Whirlpool sign was believed to be the most specific sign in diagnosing IFTT. CONCLUSION: Through review of the authors' experiences, it is possible to diagnose IFTT preoperatively by ultrasound. Sonograms of the IFTT could be divided into four types while clinical significance of this classification requires further confirmation.

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.

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.

Concordance of Ultrasound and Dual-Energy CT in Diagnosing Gouty Arthritis in the Knee Joint: A Retrospective Observational Study.

RATIONALE AND OBJECTIVES: To assess the consistency between ultrasound and dual-energy computed tomography (DECT) for the diagnosis of gout in the knee joint. MATERIALS AND METHODS: The ultrasound and DECT images of 176 knee joints from 167 patients diagnosed with gout at the Gout Specialty Clinic of Qingdao University Affiliated Hospital from February 2022 to December 2023 were retrospectively analyzed. The knee joint was segmented into five anatomical regions: intra-articular, anterior, posterior, medial, and lateral. The location of monosodium urate (MSU) crystal deposition was recorded. Tophi were classified as hypoechogenic, isoechogenic, hyperechogenic, or strongly echogenic. The Kappa test was used to assess the consistency between the two examination methods in different regions of the knee joint. The McNemar chi-square test was utilized to conduct a differential analysis between the DECT and ultrasound results. The chi-square test was used to assess differences in the rate of tophi detection with different echogenicities by DECT. Pearson's correlation coefficient was used to assess the correlation between MSU crystal deposition volume and clinically relevant indicators. RESULTS: Double contour (61.4%) was the most common intra-articular ultrasound sign. In the extra-articular region, MSU crystals were commonly deposited in and around the popliteal groove region (ultrasound: 52.3%; DECT: 60.0%). Corresponding MSU deposits on DECT were found in 7 of 54 joints with aggregates detected on ultrasound, and in 15 of 108 joints with DC. Tophi with hyperechogenicity or strong echogenicity were more likely to be detected on DECT than those with hypoechoic or isoechoic features (84.3% and 90.9% vs. 55.1% and 27.8%, respectively). For the assessment of MSU deposits, ultrasound showed an overall higher positive rate than DECT (81.1% vs. 72.2%), with poor consistency between the two examinations (κ = 0.177). In distinct anatomical regions, ultrasound and DECT showed high consistency in the medial (κ = 0.651) and lateral (κ = 0.705) views, with no significant difference. The intra-articular (κ = 0.316) and anterior (κ = 0.346) regions exhibited only fair consistency, with statistically significant diagnostic differences. When exclusively assessing cases with tophi, ultrasound and DECT demonstrated similar consistency in the medial, lateral and anterior views (κ = 0.633, 0.712, and 0.400, respectively), with statistically significant differences. In the intra-articular region, the consistency was reduced (κ = 0.237), and the differences were statistically significant. CONCLUSION: Ultrasound and DECT are effective methods to detect MSU deposition in gout of the knee. However, the consistency between the two techniques varies in different anatomical locations. Clinical assessment should be tailored based on the specific anatomical position. DECT is advantageous for the evaluation of intra-articular MSU deposits, while ultrasound is more sensitive for the early detection of scattered MSU deposits.

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.

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.

Papillary thyroid carcinoma with massive metastasis in the uterine corpus: a case report.

BACKGROUND: Distant metastases stemming from a papillary thyroid carcinoma (PTC) are quite rare. Here we report an exceptional case of PTC presenting with cervical lymphatic and uterine metastases. This is the first case report of a PTC with uterine involvement. CASE PRESENTATION: A 60-year-old Chinese woman came to our hospital complaining of discomfort in the throat that she had been experiencing for about half a month. PTC and cervical lymphatic metastasis were diagnosed after ultrasound examinations. A massive heterogeneous mass was found beside the uterus during the pre-operative checkup and a diagnosis of ovarian carcinoma was suspected after a thorough case discussion. However, it proved to be a metastasis from the PTC as determined by pathological and immunohistochemical examinations after the operation. The patient declined further treatments. She was followed for 22 months with no sign of recurrence detected. CONCLUSIONS: In this report, an unusual case of PTC was presented. The patient had not only regional lymphatic metastasis, but also had a massive metastasis in the uterine corpus, which was initially misdiagnosed as ovarian carcinoma. This case is of interest because of its rarity and exceptionally good prognosis. The reason for the misdiagnosis was attributed to overlooking the possibility of a distant metastasis coming from a PTC. This case raises the issue that completing an iodine-131 scan before operating on patients with PTC may be warranted.

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.

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.

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.

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.

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.

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.

Quantitative measurement for thyroid cancer characterization based on elastography.

OBJECTIVES: The purpose of this study was to evaluate color thyroid elastograms quantitatively and objectively and select more effective features to differentiate benign from malignant thyroid nodules. METHODS: The study was approved by the Ethics Committee of Harbin Medical University. A total of 125 cases (56 malignant and 69 benign) were analyzed in this retrospective study. The original color thyroid elastograms were transferred from the red-green-blue color space to the hue-saturation-value color space. The elasticity information was represented by the hue component of color elastograms. The lesion regions were delineated by radiologists, and statistical and textural features were extracted. Then the most effective and reliable features among them were selected by using a minimum redundancy-maximum relevance algorithm. The selected features were input to a support vector machine to differentiate benign from malignant thyroid nodules. RESULTS: The classification accuracy was 93.6% when the hard area ratio and textural feature (energy) of the lesion region were used. The area under the receiver operating characteristic curve for the hard area ratio was higher than that for the strain ratio (0.97 versus 0.87; P < .01), and the area under the curve for the hard area ratio was also higher than that for the color score (0.97 versus 0.80; P < .001). The results also showed that the features were robust for lesion region delineation. CONCLUSIONS: The hard area ratio is an important and quantitative metric for elastograms. Quantitative analysis of elastograms using computer-aided diagnostic techniques can improve diagnostic accuracy.

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.