Value of Multimodal Ultrasound Combined with BRAF Gene in Evaluating Cervical Lymph Node Metastasis of Papillary Thyroid Microcarcinoma.

OBJECTIVE: The aim of the work described here was to explore the predictive value of multimodal ultrasound combined with the BRAF gene in cervical lymph node metastasis (CLNM) of papillary thyroid microcarcinoma (PTMC). METHODS: One hundred six patients (114 lesions) with PTMC confirmed by surgery and pathology at Yantai Yuhuangding Hospital from July 2021 to August 2022 were analyzed retrospectively. Routine ultrasound, contrast-enhanced ultrasound, shear wave elastography examination and BRAF V600E gene detection were performed before surgery. Patients were divided into two groups on the basis of post-operative pathology: non-metastasis group and metastasis group. Univariate and multivariate analyses were used to analyze the risk factors of cervical lymph node metastasis in PTMC. RESULTS: Univariate analysis revealed that there were significant differences in gender, high echo in lesions, enhancement level, peak intensity (PI) and average modulus of elasticity (Eavg) between the two groups (p < 0.05), but there was no significant difference in BRAF gene mutation (p = 0.855). Multivariate analysis revealed that male gender, microcalcification and hyper- or iso-enhancing parametric increased the risk of CLNM in PTMC (p < 0.05), and that sensitivity (92.3%) and accuracy (73.9%) were higher for combined diagnosis than for single diagnosis; the differences were statistically significant (p < 0.05). CONCLUSION: Male gender, microcalcification and hyper- or iso-enhancing parametrics of CEUS are independent risk factors for CLNM in PTMC patients. Combined diagnosis is more effective.

Extrachromosomal circular DNA landscape of breast cancer with lymph node metastasis.

Breast cancer (BC) is a complex disease with diverse manifestations, often resulting in lymph node metastasis (LNM) and impacting patient prognosis. Extrachromosomal circular DNA (eccDNA) has emerged as a key player in tumorigenesis, yet its contribution to BC LNM remains elusive. Here, we examined primary tumors and matched LNM tissues from 19 BC patients using the Circle-Seq method. We identified a median count of 44,682 eccDNA in primary tumor tissues and 38,057 in their paired LNM tissues. Furthermore, a ladder-like size distribution is observed in both primary tumor and LNM tissues. Meanwhile, similar repeat sequence distribution and GC content are identified from both primary tissue and LNM tissues. Finally, we found that eccDNA from both groups are flanked with palindromic trinucleotide motifs. These observations indicate that eccDNA of primary tumor and LNM tissues are from similar chromosomal origins. However, a subset of miRNA-associated eccDNA displayed selective enrichment in metastatic lesions, such as miR-6730 and miR-548AA1 genes. This observation implicates the function of miRNA-related eccDNA in the metastatic cascade. Our study uncovers the potential significance of these unique eccDNA molecules, shedding light on their role in cancer metastasis.

The ultrasonography and pathological features of primary hepatic pleomorphic undifferentiated sarcoma.

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Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study.

BACKGROUND: Accurate diagnosis of breast lesions and discrimination of axillary lymph node (ALN) metastases largely depend on radiologist experience. PURPOSE: To develop a deep learning-based whole-process system (DLWPS) for segmentation and diagnosis of breast lesions and discrimination of ALN metastasis. STUDY TYPE: Retrospective. POPULATION: 1760 breast patients, who were divided into training and validation sets (1110 patients), internal (476 patients), and external (174 patients) test sets. FIELD STRENGTH/SEQUENCE: 3.0T/dynamic contrast-enhanced (DCE)-MRI sequence. ASSESSMENT: DLWPS was developed using segmentation and classification models. The DLWPS-based segmentation model was developed by the U-Net framework, which combined the attention module and the edge feature extraction module. The average score of the output scores of three networks was used as the result of the DLWPS-based classification model. Moreover, the radiologists' diagnosis without and with the DLWPS-assistance was explored. To reveal the underlying biological basis of DLWPS, genetic analysis was performed based on RNA-sequencing data. STATISTICAL TESTS: Dice similarity coefficient (DI), area under receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and kappa value. RESULTS: The segmentation model reached a DI of 0.828 and 0.813 in the internal and external test sets, respectively. Within the breast lesions diagnosis, the DLWPS achieved AUCs of 0.973 in internal test set and 0.936 in external test set. For ALN metastasis discrimination, the DLWPS achieved AUCs of 0.927 in internal test set and 0.917 in external test set. The agreement of radiologists improved with the DLWPS-assistance from 0.547 to 0.794, and from 0.848 to 0.892 in breast lesions diagnosis and ALN metastasis discrimination, respectively. Additionally, 10 breast cancers with ALN metastasis were associated with pathways of aerobic electron transport chain and cytoplasmic translation. DATA CONCLUSION: The performance of DLWPS indicates that it can promote radiologists in the judgment of breast lesions and ALN metastasis and nonmetastasis. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 3.

A case report of diagnosis of liver metastasis of medullary thyroid carcinoma by multimodal ultrasound.

Medullary thyroid carcinoma is a rare malignant neuroendocrine tumor. Distant metastasis is difficult to detect early. It is most common in lung, liver, bone and brain. This case was reported as liver metastasis of medullary thyroid carcinoma in an elderly woman, but routine ultrasound findings were atypical. After a series of relevant imaging examinations, contrast-enhanced ultrasound and ultrasound-guided puncture biopsy were used to confirm the nature of the intrahepatic lesions. Therefore, we believe that multimodal ultrasound is of great value in the diagnosis of liver metastasis of medullary thyroid carcinoma.

Value of clinical features combined with multimodal ultrasound in predicting lymph node metastasis in cervical central area of papillary thyroid carcinoma.

OBJECTIVE: To explore the clinical features, multimodal ultrasound features and multimodal ultrasound imaging features in predicting lymph node metastasis in the central cervical region of papillary thyroid carcinoma. METHODS: A total of 129 patients with papillary thyroid carcinoma (PTC) confirmed by pathology were selected from our hospital from September 2020 to December 2022. According to the pathological results of cervical central lymph nodes, these patients were divided into metastatic group and non-metastatic group. Patients were randomly sampled and divided into training group (n = 90) and verification group (n = 39) according to the ratio of 7:3. The independent risk factors for central lymph node metastasis (CLNM) were determined by least absolute shrinkage and selection operator and multivariate logistic regression. Based on independent risk factors to build a prediction model, select the best diagnostic effectiveness of the prediction model sketch line chart, and finally, the line chart calibration and clinical benefits were evaluated. RESULTS: A total of 8, 11 and 17 features were selected from conventional ultrasound images, shear wave elastography (SWE) images and contrast-enhanced ultrasound (CEUS) images to construct the Radscore of conventional ultrasound, SWE and CEUS, respectively. After univariate and multivariate logistic regression analysis, male, multifocal, encapsulation, iso-high enhancement and multimodal ultrasound imaging score were independent risk factors for cervical CLNM in PTC patients (p < 0.05). Based on independent risk factors, a clinical combined with multimodal ultrasound feature model was constructed, and multimodal ultrasound Radscore were added to the clinical combined with multimodal ultrasound feature model to form a joint prediction model. In the training group, the diagnostic efficacy of combined model (AUC = 0.934) was better than that of clinical combined with multimodal ultrasound feature model (AUC = 0.841) and multimodal ultrasound radiomics model (AUC = 0.829). In training group and validation group, calibration curves show that the joint model has good predictive ability for cervical CLNM of PTC patients; The decision curve shows that most of the net benefits of the nematic chart are higher than those of clinical + multimodal ultrasound feature model and multimodal ultrasound radiomics model within a reasonable risk threshold range. CONCLUSION: Male, multifocal, capsular invasion and iso-high enhancement are independent risk factors of CLNM in PTC patients, and the clinical plus multimodal ultrasound model based on these four factors has good diagnostic efficiency. The joint prediction model after adding multimodal ultrasound Radscore to clinical and multimodal ultrasound features has the best diagnostic efficiency, high sensitivity and specificity, which is expected to provide objective basis for accurately formulating individualized treatment plans and evaluating prognosis.

Methylation of the miR­29b­3p promoter contributes to angiogenesis, invasion, and migration in pancreatic cancer.

The aim of the present study was to investigate the effects of microRNA (miR)­29b­3p gene promoter methylation on angiogenesis, invasion, and migration in human pancreatic cancer. Prediction of promoter methylation of miR­29b­3p was performed through the MethPrimer tool. Then the methylation levels of miR­29b­3p in human pancreatic cancer tissues and cell lines were detected by pyrosequencing, and the relative expression of miR­29b­3p was assessed in pancreatic cancer tissues by qPCR. The results were analyzed by linear regression. Western blot analysis was used to detect expression of DNA methyltransferases (DNMTs) in pancreatic cancer tissues and adjacent tissues. The Transwell assay was used to detect the ability of cell migration and invasion. Cells were co­cultured with human umbilical vein endothelial cells (HUVECs) to detect the ability of angiogenesis. The results revealed that DNMT1 expression in pancreatic cancer tissues was higher than that in adjacent tissues. Further results showed that expression of miR­29b was negatively correlated with the methylation level of the miR­29b promoter. Bxpc3 and Capan­2 cells had higher methylation levels, and the expression level of miR­29b­3p in Bxpc3 and Capan­2 cells was found to be lower than that of other cell lines. Expression of zonula occludens­1 (ZO­1) and occludin was significantly increased, and the migration of cancer cells was decreased after cells were treated with siRNA DNMT1. Further results showed that miR­29b reversed the promotive effect of DNMT1 overexpression on tumor cell malignant properties. Methylation of the miR­29b­3p promoter contributes to angiogenesis, invasion, and migration in pancreatic cancer. This study indicated that the alteration of methylation of mR­19b may be a potential approach for inhibiting the progression of pancreatic cancer.

Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions.

BACKGROUND Ultrasound/microbubble (USMB)-mediated sonoporation is a new strategy with minimal procedural invasiveness for targeted and site-specific drug delivery to tumors. The purpose of this study was to explore the effect of different breast cancer cell lines on sonoporation efficiency, and then to identify an optimal combination of USMB parameters to maximize the sonoporation efficiency for each tumor cell line. MATERIAL AND METHODS Three drug-sensitive breast cell lines - MCF-7, MDA-MB-231, and MDA-MB-468 - and 1 multidrug resistance (MDR) cell line - MCF-7/ADR - were chosen. An orthogonal array experimental design approach based on 3 levels of 3 parameters (A: microbubble concentration, 10%, 20%, and 30%, B: sound intensity, 0.5, 1.0, and 1.5 W/cm², C: irradiation time, 30, 60, and 90 s) was employed to optimize the sonoporation efficiency. RESULTS The optimal USMB parameter combinations for different cell lines were diverse. Under optimal parameter combinations, the maximum sonoporation efficiency differences between different breast tumor cell lines were statistically significant (MDA-MB-231: 46.70±5.79%, MDA-MB-468: 53.44±5.69%, MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, P<0.05), so were between drug-sensitive cell line and MDR cell line (MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, p=0.026). CONCLUSIONS Different breast tumor cell lines have their own optimal sonoporation. Drug-resistant MCF-7/ADR cells had higher sonoporation efficiency than drug-sensitive MCF-7 cells. The molecular subtype of tumors should be considered when sonoporation is applied, and optimal parameter combination may have the potential to improve drug-delivery efficiency by increasing the sonoporation efficiency.

Sonographic diagnosis of colorectal polyps in children: Diagnostic accuracy and multi-factor combination evaluation.

This study was established to evaluate the diagnostic value of ultrasonography in screening colorectal polyps in children and to discuss the necessity of colonic preparation before an ultrasonic examination.In this study, 288 children with colorectal polyps managed at our hospital between January 2007 and December 2016 were retrospectively reviewed. All patients were examined before and after basic colon preparation. The colorectal polyps were confirmed by colonoscopy/laparotomy and histopathology. Among all 288 patients, solitary polyps were identified in 278 patients (96.52%), and multiple polyps were identified in 10 patients (43 polyps) (3.48%) by colonoscopy/laparotomy and histopathology.By ultrasonic examination, 264 cases (264/278) were detected as solitary polyp and 9 cases (9/10) as multiple polyps (31 polyps). In 278 solitary polyps, 180 (64.74%) were detected by ultrasonic examination without a colon preparation. Following glycerine enema (10-20 mL) treatment, 264 (94.96%) cases were detected by ultrasonic examination. The sensitivity and specificity of ultrasonography with glycerine enema for the detection of colorectal polyps were 94.96% and 100%, respectively. Colon preparation significantly increased the proportion of polyps identified by ultrasonography (P < .0001), as well as the diagnostic rate of polyps in rectum, sigmoid colon and descending colon (P < .05).Ultrasonography can be the primary diagnostic method for screening colorectal polyps in children on the strength of its safety, validity, and accuracy. Basic colon preparation with glycerine enema is recommended for children, which enable the detection of intraluminal lesions before ultrasonic examination.