Characterization of adrenal glands on computed tomography with a 3D V-Net-based model.

Objectives: To evaluate the performance of a 3D V-Net-based segmentation model of adrenal lesions in characterizing adrenal glands as normal or abnormal.

Methods: A total of 1086 CT image series with focal adrenal lesions were retrospectively collected, annotated, and used for the training of the adrenal lesion segmentation model. The dice similarity coefficient (DSC) of the test set was used to evaluate the segmentation performance.

Pathological findings with vacuoles in anti-mitochondrial antibody-positive inflammatory myopathy.

Background: A few patients with inflammatory myopathy showed anti-mitochondrial antibody (AMA) positivity. This study aimed to report the clinical and pathological findings with vacuoles in 3 cases of such patients.

Methods: Three cases with myositis from the Myositis Clinical Database of Peking University First Hospital were identified with AMA positivity.

A DNA nanostructure-Hif-1α inducer complex as novel nanotherapy against cisplatin-induced acute kidney injury.

Since its discovery in 1978, cisplatin-based chemotherapy regimens have served a pivotal role in human cancer treatment, saving millions of lives. However, its high risk still poses a significant challenge for cisplatin-induced acute kidney injury (AKI), which occurs in 30% of cisplatin-treated patients. Unfortunately, no effective solution for preventing or managing this severe complication, which greatly impacts its clinical administration.

A prospective study of the prostate health index density and multiparametric magnetic resonance imaging in diagnosing clinically significant prostate cancer.

Purpose: To evaluate the predictive performance of the prostate health index (PHI) and PHI density (PHID), for clinically significant prostate cancer (csPCa) in patients with a PI-RADS score ≤3.

Materials And Methods: Patients tested for total prostate-specific antigen (tPSA, ≤100 ng/mL), free PSA (fPSA), and p2PSA at Peking University First Hospital were prospectively enrolled. Possible predictive factors of csPCa were analyzed using the receiver operating characteristic (ROC) curve.

Age-related morphometrics of normal adrenal glands based on deep learning-aided segmentation.

Objective: This study aims to evaluate the morphometrics of normal adrenal glands in adult patients semiautomatically using a deep learning-based segmentation model.

Materials And Methods: A total of 520 abdominal CT image series with normal findings, from January 1, 2016, to March 14, 2019, were retrospectively collected for the training of the adrenal segmentation model. Then, 1043 portal venous phase image series of inpatient contrast-enhanced abdominal CT examinations with normal adrenal glands were included for analysis and grouped by every 10-year gap.

Cutoff Values of Prostate Imaging Reporting and Data System Version 2.1 Score in Men With Prostate-specific Antigen Level 4 to 10 ng/mL: Importance of Lesion Location.

Introduction: Multiparametric magnetic resonance imaging (mpMRI) has been shown to have a good performance in predicting cancer among patients with a prostate-specific antigen (PSA) level of 4 to 10 ng/mL. However, lesion location on mpMRI has never been separately considered.

Patients And Methods: Patients with PSA level of 4 to 10 ng/mL were prospectively enrolled and underwent transrectal ultrasound-guided prostate biopsy.

[Killing effect of ZnPcH(1)-PDT on lymphoma cells].

The objective of this study was to investigate the effect of ZnPcH(1)-PDT on the lymphoma cells and its mechanism. Human Burkitt's lymphoma cell line CA46 and mouse lymphoma cell line P388 were selected as objects for study. The killing effect of ZnPcH(1)-PDT on cells were assessed by MTT method and colony formation assay; the cell death patterns were analyzed by AO/EB fluorescence stain, TdT-mediated dUTP nick end labeling (TUNEL), DNA ladder assay; and the different proportions of each death pattern were determined by Annexin-V(-FITC)/PI double stains.