Towards precision medicine based on a continuous deep learning optimization and ensemble approach.

We developed a continuous learning system (CLS) based on deep learning and optimization and ensemble approach, and conducted a retrospective data simulated prospective study using ultrasound images of breast masses for precise diagnoses. We extracted 629 breast masses and 2235 images from 561 cases in the institution to train the model in six stages to diagnose benign and malignant tumors, pathological types, and diseases. We randomly selected 180 out of 3098 cases from two external institutions. The CLS was tested with seven independent datasets and compared with 21 physicians, and the system's diagnostic ability exceeded 20 physicians by training stage six. The optimal integrated method we developed is expected accurately diagnose breast masses. This method can also be extended to the intelligent diagnosis of masses in other organs. Overall, our findings have potential value in further promoting the application of AI diagnosis in precision medicine.

Thermal ablation for cervical lymph node metastasis from papillary thyroid carcinoma: A meta-analysis.

BACKGROUND: Traditionally, surgery has been the standard treatment for cervical lymph node metastasis in patients with papillary thyroid carcinoma (PTC). However, thermal ablation is currently recommended by several guidelines. This study aimed to evaluate the efficacy and safety of thermal ablation for lymph node metastasis in patients with PTC. METHODS: We searched PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases until March 2022 to collect studies on thermal ablation (including radiofrequency, microwave, and laser ablations) for cervical lymph node metastasis from PTC. RESULTS: A total of 190 patients were included, ranging from 5 to 39 in each study, with a sex ratio (male/female) ranging from 1/4 to 17/20, an average age ranging from 15.6 ±â€…3.0 to 62.3 ±â€…13.2 (yr), and a total of 270 cervical lymph nodes, ranging from 8 to 98. The follow-up results showed that thermal ablation significantly reduced the maximum diameter and volume of metastatic lymph nodes in PTC (P < .01). The pooled complete disappearance rate was 86% (95% confidence interval 79% to 93%). Thyroglobulin levels were significantly lower after surgery (P < .01). No major complications occurred, and the combined voice change rate was as low as 1% [CI 0% to 3%]. CONCLUSION: Our meta-analysis showed that thermal ablation is an effective and safe method for the treatment of cervical lymph node metastases from PTC. Considering the limitations of this study, more prospective, multicenter, large-sample studies are needed in the future.

A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.

OBJECTIVES: To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses. MATERIALS AND METHODS: A combined US B-mode and color Doppler neural network model was developed to classify US images of the breast. Three datasets with breast masses were originally detected and interpreted by 20 experienced radiologists according to Breast Imaging-Reporting and Data System (BI-RADS) lexicon ((1) training set, 103212 masses from 45,433 + 12,519 patients. (2) held-out validation set, 2748 masses from 1197 + 395 patients. (3) test set, 605 masses from 337 + 78 patients). The neural network was first trained on training set. Then, the trained model was tested on a held-out validation set to evaluate agreement on BI-RADS category between the model and the radiologists. In addition, the model and a reader study of 10 radiologists were applied to the test set with biopsy-proven results. To evaluate the performance of the model in benign or malignant classifications, the receiver operating characteristic curve, sensitivities, and specificities were compared. RESULTS: The trained dual-modal model showed favorable agreement with the assessment performed by the radiologists (κ = 0.73; 95% confidence interval, 0.71-0.75) in classifying breast masses into four BI-RADS categories in the validation set. For the binary categorization of benign or malignant breast masses in the test set, the dual-modal model achieved the area under the ROC curve (AUC) of 0.982, while the readers scored an AUC of 0.948 in terms of the ROC convex hull. CONCLUSION: The dual-modal model can be used to assess breast masses at a level comparable to that of an experienced radiologist. KEY POINTS: • A neural network model based on ultrasonic imaging can classify breast masses into different Breast Imaging-Reporting and Data System categories according to the probability of malignancy. • A combined ultrasonic B-mode and color Doppler neural network model achieved a high level of agreement with the readings of an experienced radiologist and has the potential to automate the routine characterization of breast masses.

[Evalation of Jingzhi Xiaoban Tablet in Improving Heart Function of Coronary Heart Disease Pa- tients by Doppler Tissue Imaging and Speckle Tracking Imaging Technology].

OBJECTIVE: To evaluate the role of Jiangzhi Xiaoban Tablet (JXT) in improving heartfunction of coronary heart disease (CHD) patients by tissue Doppler imaging (TDI) and speckle trackingimaging (STI) technology. METHODS: Recruited were 60 inpatients with confirmed CHD by coronary angiography at First Affiliated Hospital, Hunan University of Traditional Chinese Medicine from October 2013to November 2014. They were assigned to the treatment group (group A) and the control group (groupB) according to random digit table, 30 cases in each group. Patients in group A took JXT, 0.45 g/tablet,4 tablets each time, 3 times per day, while those in group B took Simvastatin Tablet, 20 mg/tablet, 1 tablet each time, once per evening. The therapeutic course for all was 8 weeks. The long axis view of theheart of 18 segments STI Peak strain LS and TDI peak systolic Sa parameters were performed in all patients before and after treatment. RESULTS: Before treatment segments of STI strain LS and TDI longitudinal peak systolic peak Sa were not statistically different between the two groups (P > 0.05). Each segment of STI peak longitudinal strain LS and TDI peak systolic Sa in the two groups were higher after treatment than before treatment (P < 0.05). After treatment each segment of STI parameters of LS and eachTDI segment parameters of Sa were significantly lower in group B than in group A (P < 0.01). CONCLUSION: JXT could improve heart function of CHD patients to different degrees, and its curative effect was betterthan that of routine Western medicine (Simvastatin Tablets) treatment.