Tremendous and infrequently adenoid cystic carcinoma of the breast without any metastasis for more than 20 years: A case report.

Rationale: Breast adenoid cystic carcinoma is an extremely rare tumor that is incompletely understood, accounting for less than <0.1% of all breast cancers, with an average diameter of 3 cm, and it is extremely rare to see a large, non-metastatic breast adenoid cystic carcinoma with a diameter of about 30 cm. Since this disease is extremely rare, there are few reports in the literature and limited data on clinical diagnosis and treatment.

Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid.

The aim of the present study was to investigate key genes in fibroids based on the multiple affinity propogation-Krzanowski and Lai (mAP-KL) method, which included the maxT multiple hypothesis, Krzanowski and Lai (KL) cluster quality index, affinity propagation (AP) clustering algorithm and mutual information network (MIN) constructed by the context likelihood of relatedness (CLR) algorithm. In order to achieve this goal, mAP-KL was initially implemented to investigate exemplars in fibroid, and the maxT function was employed to rank the genes of training and test sets, and the top 200 genes were obtained for further study. In addition, the KL cluster index was applied to determine the quantity of clusters and the AP clustering algorithm was conducted to identify the clusters and their exemplars.

Lidocaine patch for acute pain management: a meta-analysis of prospective controlled trials.

Background: Local anesthetic is one of the cornerstones of multimodal analgesia. We investigated the efficacy of the lidocaine patch for acute pain management.

Methods: We searched MEDLINE, CINAHL, Scopus, and the Cochrane Controlled Trials Register for published prospective controlled clinical trials that evaluated the analgesic effect of the lidocaine patch for acute or postoperative pain management (1966--2014).