LiSNet: An artificial intelligence -based tool for liver imaging staging of hepatocellular carcinoma aggressiveness.

Background: Presurgical assessment of hepatocellular carcinoma (HCC) aggressiveness can benefit patients' treatment options and prognosis.

Purpose: To develop an artificial intelligence (AI) tool, namely, LiSNet, in the task of scoring and interpreting HCC aggressiveness with computed tomography (CT) imaging.

Methods: A total of 358 patients with HCC undergoing curative liver resection were retrospectively included.

Artificial intelligence-based analysis for immunohistochemistry staining of immune checkpoints to predict resected non-small cell lung cancer survival and relapse.

Background: Conventional analysis of single-plex chromogenic immunohistochemistry (IHC) focused on quantitative but spatial analysis. How immune checkpoints localization related to non-small cell lung cancer (NSCLC) prognosis remained unclear.

Methods: Here, we analyzed ten immune checkpoints on 1,859 tumor microarrays (TMAs) from 121 NSCLC patients and recruited an external cohort of 30 NSCLC patients with 214 whole-slide IHC.

[Ejaculatory duct dilation combined with seminal vesicle clysis for refractory hematospermia: A report of 32 cases].

Objective: To evaluate the effect of ejaculatory duct dilation combined with seminal vesicle clysis in the treatment of refractory hematospermia.

Methods: Using ureteroscopy, we treated 32 patients with refractory hematospermia by transurethral dilation of the ejaculatory duct combined with clysis of the seminal vesicle with diluent gentamicin.

Results: The operation was successfully accomplished in 31 cases, with the mean operation time of 32 (26－47) minutes.