Comparing Sonazoid contrast-enhanced ultrasound to contrast-enhanced CT and MRI for differentially diagnosing renal lesions: a prospective multicenter study.

PURPOSE: To evaluate the diagnostic performance of contrast-enhanced (CE) ultrasound using Sonazoid (SNZ-CEUS) by comparing with contrast-enhanced computed tomography (CE-CT) and contrast-enhanced magnetic resonance imaging (CE-MRI) for differentiating benign and malignant renal masses. MATERIALS AND METHODS: 306 consecutive patients (from 7 centers) with renal masses (40 benign tumors, 266 malignant tumors) diagnosed by both SNZ-CEUS, CE-CT or CE-MRI were enrolled between September 2020 and February 2021. The examinations were performed within 7 days, but the sequence was not fixed. Histologic results were available for 301 of 306 (98.37%) lesions and 5 lesions were considered benign after at least 2 year follow-up without change in size and image characteristics. The diagnostic performances were evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and compared by McNemar's test. RESULTS: In the head-to-head comparison, SNZ-CEUS and CE-MRI had comparable sensitivity (95.60 vs. 94.51%, P = 0.997), specificity (65.22 vs. 73.91%, P = 0.752), positive predictive value (91.58 vs. 93.48%) and negative predictive value (78.95 vs. 77.27%); SNZ-CEUS and CE-CT showed similar sensitivity (97.31 vs. 96.24%, P = 0.724); however, SNZ-CEUS had relatively lower than specificity than CE-CT (59.09 vs. 68.18%, P = 0.683). For nodules > 4 cm, CE-MRI demonstrated higher specificity than SNZ-CEUS (90.91 vs. 72.73%, P = 0.617) without compromise the sensitivity. CONCLUSIONS: SNZ-CEUS, CE-CT, and CE-MRI demonstrate desirable and comparable sensitivity for the differentiation of renal mass. However, the specificity of all three imaging modalities is not satisfactory. SNZ-CEUS may be a suitable alternative modality for patients with renal dysfunction and those allergic to gadolinium or iodine-based agents.

Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis.

OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of contrast-enhanced ultrasound (CEUS) images that predicts early recurrence (ER) after thermal ablation (TA) of colorectal cancer liver metastasis (CRLM). METHODS: Between January 2010 and May 2019, a total of 207 consecutive patients with CRLM with 13,248 slice images at three dynamic phases who received CEUS within 2 weeks before TA were retrospectively enrolled in two centres (153 for the training cohort (TC), 32 for the internal test cohort (ITC), and 22 for the external test cohort (ETC)). Clinical and CEUS data were used to develop and validate the clinical model, DL model, and DL combining with clinical (DL-C) model to predict ER after TA. The performance of these models was compared by the receiver operating characteristic curve (ROC) with the DeLong test. RESULTS: After a median follow-up of 56 months, 49% (99/207) of patients experienced ER. Three key clinical features (preoperative chemotherapy (PC), lymph node metastasis of the primary colorectal cancer (LMPCC), and T stage) were used to develop the clinical model. The DL model yielded better performance than the clinical model in the ETC (AUC: 0.67 for the clinical model, 0.76 for the DL model). The DL-C model significantly outperformed the clinical model and DL model (AUC: 0.78 for the DL-C model in the ETC; both, p < 0.001). CONCLUSIONS: The model based on CEUS can achieve satisfactory prediction and assist physicians during the therapeutic decision-making process in clinical practice. KEY POINTS: • This is an exploratory study in which ablation-related contrast-enhanced ultrasound (CEUS) data from consecutive patients with colorectal cancer liver metastasis (CRLM) were collected simultaneously at multiple institutions. • The deep learning combining with clinical (DL-C) model provided desirable performance for the prediction of early recurrence (ER) after thermal ablation (TA). • The DL-C model based on CEUS provides guidance for TA indication selection and making therapeutic decisions.

Huaier granule prevents the recurrence of early-stage hepatocellular carcinoma after thermal ablation: A cohort study.

ETHNOPHARMACOLOGICAL RELEVANCE: Clinical trials have demonstrated that Trametes robinophila Murr (Huaier granule) can inhibit recurrence and metastasis after hepatocellular carcinoma (HCC) resection, but its efficacy as an adjuvant therapy after thermal ablation of early HCC is unknown. AIM OF THE STUDY: To analyze the prognostic value and side effects of Huaier granules in HCC patients undergoing thermal ablation. MATERIALS AND METHODS: Clinical information from 340 eligible subjects with early-stage HCC who were admitted to our department from September 1, 2008 to January 1, 2019 was extracted from the electronic medical record database. They were divided into the thermal ablation + TCM group and the thermal ablation group. Differences in their overall survival (OS), progression-free survival (PFS), extrahepatic metastatic rate (EMR), and therapeutic side effects (TSEs) between the two groups were compared. Beneficiaries of the integrated treatment and adequate treatment length were predicted. RESULTS: The median follow-up was 32.5 months (range 2-122 months). The 1-year, 3-year and 5-year OS rates in the integrated treatment group and the control group were 93.2% vs. 92.6%, 54.5% vs. 51.4%, 23.5% vs. 19.7% (p = 0.110, HR 0.76(0.54-1.07)). The 1-year, 3-year and 5-year PFS rates were 78.8% vs. 69.4%, 50.6% vs. 40.6%, 35.3% vs. 26.5%, respectively (p = 0.020, HR 0.67(0.48-0.94)). The median OS (35 vs. 31 months) and PFS (24 vs. 12.5 months) were longer in the integrated treatment group. The EMR in the integrated treatment group was significantly lower than that in the control group (p = 0.018, HR 0.49 (0.27-0.89)). Patients with any two of the following three factors might be predicted to be beneficiaries of the integrated treatment, including younger than 65 years (p =0.039, HR 0.70 (0.50-0.98)), single tumor (p = 0.035, HR 0.70 (0.50-0.98), and tumor size ≤3 cm (p = 0.029, HR 0.69 (0.50-0.96). Patients with continuous oral administration of TCM following ablation had a lower probability of recurrence and metastasis within 2 years (p = 0.015, HR 0.67 (0.49-0.93)). Although the integrated treatment group reported a higher incidence of nausea and emesis, there were no significant differences between the two groups. CONCLUSION: TCM following ablation may prolong PFS and suppress recurrence in patients with HCC, with continuous oral administration for more than 2 years maybe experience a greater benefit. The TSEs of the treatment are mild and can be tolerated.