Dynamic contrast-enhanced ultrasonography with sonazoid predicts microvascular invasion in early-stage hepatocellular carcinoma.

OBJECTIVE: Microvascular invasion (MVI) is an independent risk factor for the early recurrence and poor survival of hepatocellular carcinoma (HCC). This study aims to investigate the potential clinical value of dynamic contrast-enhanced ultrasound (DCE-ultrasound)-Sonazoid in pre-operatively assessing MVI in HCC. METHODS AND MATERIALS: This single centre prospective study included 140 patients with histopathologically confirmed single HCC lesions. Patients were classified according to the post-operative pathological information presence of MVI: MVI+ group (n = 32) and MVI- group (n = 108). All patients underwent DCE-ultrasound within 1 week before surgery. The quantitative perfusion parameters of HCC lesions, margins of HCC lesions, and distal liver parenchyma were obtained and analyzed. RESULTS: Clinicopathological (serum alpha-fetoprotein, Des-gamma-carboxyprothrombin, and pathological grade) and grayscale imaging features (tumor size) were significantly different between the MVI+ and MVI- groups (p < 0.05). Further quantitative analysis showed that when comparing the MVI+ and MVI- groups, half-decrease time and wash-out rate of HCC lesions and peak enhancement in the arterial phase of difference between the margin area of HCC and distal liver parenchyma were significantly different (p = 0.045, p = 0.035, and p = 0.023, respectively). Combining the above three quantitative parameters, the accuracy, sensitivity, specificity, positive-predictive value, and negative-predictive value were 69.3% (97/140), 37.8% (17/45), 84.3% (80/95), 53.1% (17/32), 74.1% (80/108), respectively. CONCLUSION: DCE-ultrasound with quantitative perfusion analysis has the potential to predict MVI in HCC lesions. ADVANCES IN KNOWLEDGE: DCE-ultrasound with quantitative perfusion analysis has the potential to predict MVI in HCC lesions.

Prospective Comparison of Oral Contrast-Enhanced Transabdominal Ultrasound Imaging With Contrast-Enhanced Computed Tomography in Pre-operative Tumor Staging of Gastric Cancer.

The aim of this prospective study was to compare the diagnostic accuracy of oral contrast-enhanced transabdominal ultrasound imaging (OCTU) with that of contrast-enhanced computed tomography (CT) for the pre-operative tumor staging of gastric cancer, with post-operative pathology as the standard. We included 108 cases of gastric cancer with simultaneous OCTU and enhanced CT pre-operative tumor staging diagnoses. Results were compared with post-operative pathology based on the eighth edition of the American Joint Committee on Cancer tumor-node-metastasis staging guidelines for gastric cancer. The accuracy of each tumor stage was obtained by comparing OCTU and enhanced CT diagnoses with post-operative pathology. The McNemar test was used to compare the overall accuracy of the two methods. There was no statistical difference in accuracy between OCTU (72.2%) and enhanced CT (75.9%, p = 0.644) for overall pre-operative tumor staging diagnosis. For stages T1 to T4, the accuracy rates of OCTU were 84.2%, 81.8%, 69.4% and 65.5%, respectively, and those for enhanced CT were 52.6%, 72.7%, 87.8% and 72.4%, respectively. OCTU is comparable to enhanced CT in the preoperative overall T-stage diagnosis of gastric cancer.

HCC treated with immune checkpoint inhibitors: a hyper-enhanced rim on Sonazoid-CEUS Kupffer phase images is a predictor of tumor response.

OBJECTIVES: We aimed to evaluate the efficacy of anti-programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1) antibody therapy by assessing the hyper-enhanced rim phenomenon of hepatocellular carcinoma (HCC) on Sonazoid-contrast-enhanced ultrasound (CEUS) Kupffer phase images. METHODS: This retrospective study included 61 patients with HCC who received anti-PD-1/PD-L1 antibody therapy from August 1, 2020, to January 31, 2022. We compared the progression-free survival (PFS) of patients with hyper-enhanced rim+ and hyper-enhanced rim-nodules and the time to nodule progression (TTnP) of hyper-enhanced rim+ and hyper-enhanced rim- nodules. RESULTS: Thirty-nine patients received postoperative therapy, and 22 patients had unresectable HCC. The mean PFS was 11.8 months (95% confidence interval [CI]: 8.7-14.9) for patients with hyper-enhanced rim+ HCC nodules and 16.5 months (95% CI: 14.9-18.1) for patients with hyper-enhanced rim- HCC nodules in the surgery group (p = 0.017). The mean PFS was 9.2 months (95% CI: 3.6-14.8) for patients with hyper-enhanced rim+ HCC nodules and 17.8 months (95% CI: 14.9-20.6) for patients with hyper-enhanced rim- HCC nodules in the non-surgery group (p = 0.015). For hyper-enhanced rim+ HCC nodules, TTnP for each nodule exceeding the specified threshold was 10.1 months, whereas that for hyper-enhanced rim- HCC nodules was 17.6 months (p = 0 .018). The disease control rate was 42.9% (3/7) for hyper-enhanced rim+ HCC nodules and 85.7% (21/24) for hyper-enhanced rim- HCC nodules (p = 0.013). CONCLUSIONS: The presence of hyper-enhanced rim on the Kupffer phase images obtained via the non-invasive Sonazoid-CEUS is a promising imaging biomarker for predicting unfavorable response with anti-PD-1/PD-L1 therapy in patients with HCC. KEY POINTS: • The mean progression-free survival was 11.8 months for patients with hyper-enhanced rim+ HCC nodules and 16.5 months for patients with hyper-enhanced rim- HCC nodules in the surgery group. • The mean progression-free survival was 9.2 months for patients with hyper-enhanced rim+ HCC nodules and 17.8 months for patients with hyper-enhanced rim- HCC nodules in the non-surgery group. • The disease control rate was 42.9% for hyper-enhanced rim+ HCC nodules and 85.7% for hyper-enhanced rim- HCC nodules (p = 0.013).

Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. AIM: To predict early recurrence (ER) and overall survival (OS) in patients with HCC after radical resection using deep learning-based radiomics (DLR). METHODS: A total of 414 consecutive patients with HCC who underwent surgical resection with available preoperative grayscale and contrast-enhanced ultrasound images were enrolled. The clinical, DLR, and clinical + DLR models were then designed to predict ER and OS. RESULTS: The DLR model for predicting ER showed satisfactory clinical benefits [area under the curve (AUC)] = 0.819 and 0.568 in the training and testing cohorts, respectively), similar to the clinical model (AUC = 0.580 and 0.520 in the training and testing cohorts, respectively; P > 0.05). The C-index of the clinical + DLR model in the prediction of OS in the training and testing cohorts was 0.800 and 0.759, respectively. The clinical + DLR model and the DLR model outperformed the clinical model in the training and testing cohorts (P < 0.001 for all). We divided patients into four categories by dichotomizing predicted ER and OS. For patients in class 1 (high ER rate and low risk of OS), retreatment (microwave ablation) after recurrence was associated with improved survival (hazard ratio = 7.895, P = 0.005). CONCLUSION: Compared to the clinical model, the clinical + DLR model significantly improves the accuracy of predicting OS in HCC patients after radical resection.

Ultrasound contrast agent Sonazoid for the diagnosis of hepatic epithelioid angiomyolipoma: a case report.

BACKGROUND: An angiomyolipoma usually occurs in the kidneys and rarely in the liver. Hepatic epithelioid angiomyolipoma (HEAML), a rare variant of angiomyolipoma, possesses malignant potential and mimics the imaging features of hepatocellular carcinoma. Sonazoid® (perfluorobutane microbubbles), a new contrast agent that facilitates hepatic parenchyma-specific Kupffer phase imaging on contrast-enhanced ultrasonography (CEUS), is useful for the detection and characterization of focal liver lesions. CASE PRESENTATION: A 30-year-old man with HEAML underwent CEUS using Sonazoid®, in which new concepts for ultrasonography-based differentiation between HEAML and hepatocellular carcinoma were applied. CONCLUSIONS: This case report provides clinicians and radiologists with a reference for distinguishing HEAML from hepatocellular carcinoma based on CEUS using Sonazoid®.

Genetic variants in Hippo pathway genes are associated with house dust mite-induced allergic rhinitis in a Chinese population.

BACKGROUND: House dust mite (HDM)-induced allergic rhinitis (AR) is a highly prevalent disease with bothersome symptoms. Genetic variants of the Hippo pathway genes play a critical role in the respiratory disease. However, no study has reported associations between variants of the Hippo pathway genes and HDM-induced AR risk. METHODS: Forty-three key genes in the Hippo pathway were selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome pathway database, and previous reported studies. A case-control study of 222 cases and 237 controls was performed to assess the associations between 121 genetic variants in these genes and HDM-induced AR risk. DNeasy Blood & Tissues Kits were used for extracting genomic DNA from the venous blood and Infinium Asian Screening Array BeadChips for performing genotyping. A logistic regression model was applied to evaluate the effects of variants on HDM-induced AR risk. The false discovery rate (FDR) method was utilized to correct for multiple testing. The receiver operating characteristic (ROC) curve was plotted to obtain the cut-off value of total IgE for the diagnosis of HDM-induced AR. Histone modification and transcription factor binding sites were visualized by UCSC genome browser. Moreover, expression qualitative trait loci (eQTL) analysis was obtained from Genotype-Tissue Expression (GTEx) database. RESULTS: We found that rs754466 in DLG5 was significantly associated with a decreased HDM-induced AR risk after FDR correction (adjusted odds ratio [OR] = 0.52, 95% confidence interval [CI] = 0.36-0.74, p = 3.25 × 10-4 , PFDR  = 3.93 × 10-2 ). The rs754466 A allele reduced the risk of HDM-induced AR in the subgroup of moderate/severe total nasal symptom score (TNSS). Furthermore, rs754466 was associated with a high mRNA expression of DLG5. Additionally, histone modification and transcription factor binding sites were rich in the region containing rs754466. CONCLUSION: Our findings indicated that rs754466 in DLG5 decreased the susceptibility to HDM-induced AR.

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.

Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine. Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition. We hypothesized that this approach could avoid the side effects of abundant negative samples and improve the performance of the named entity recognition from admission notes written in Chinese. Therefore, we applied this approach to a test set of 324 Chinese-written admission notes with manual annotation by medical experts. Our data demonstrated that this approach had a score of 94.2% in precision, 92.8% in recall, and 93.5% in F-measure for the recognition of traditional Chinese medicine drug names and 91.2% in precision, 92.6% in recall, and 91.7% F-measure for the recognition of Western medicine drug names. The differences in F-measure were significant compared with those in the baseline systems.