A novel MRI-based radiomics for preoperative prediction of lymphovascular invasion in rectal cancer.

Background: To develop and validate a clinical-radiomics model for preoperative prediction of lymphovascular invasion (LVI) in rectal cancer.

Methods: This retrospective study included data from 239 patients with pathologically confirmed rectal adenocarcinoma from two centers, all of whom underwent MRI examinations. Cases from the first center (n = 189) were randomly divided into a training set and an internal validation set at a 7:3 ratio, while cases from the second center (n = 50) constituted the external validation set.

Record-setting cyanobacterial bloom in the largest freshwater lake in northern China caused by joint effects of hydrological variations and nutrient enrichment.

Cyanobacterial blooms represent a significant environmental issue posing widespread threats to global aquatic ecological health. Climate and nutrient enrichment were the most studied factors modulating cyanobacterial blooms in eutrophic lakes. However, in many floodplain lakes, the importance of hydrological variation in driving and predicting cyanobacterial blooms is often overlooked and largely underestimated, which has hampered the effectiveness of lake management.

Multicomponent Synergistic Doping Enables High-efficiency n-Type PbTe Thermoelectric Devices.

The development of high-performance n-type PbTe thermoelectric (TE) modules is urgently needed to match those p-type IV-VI tellurides (i.e., PbTe, GeTe, SnTe) with high figure of merit (ZT) to obtain multi-pair TE devices for practical applications.

Machine Learning Based on Digital Mammography to Reduce the Need for Invasive Biopsies of Benign Calcifications Classified in BI-RADS Category 4.

This study aims to develop a machine learning model applied on digital mammograms to reduce unnecessary invasive biopsies for suspicious calcifications classified as BI-RADS category 4. This study retrospectively analyzed data from 372 female patients with pathologically confirmed BI-RADS category 4 mammographic calcifications. Patients from the First Affiliated Hospital of Bengbu Medical College (n = 275) were divided chronologically into a training and internal validation set.

Optimization of dual-energy CT enterography parameters for the assessment of Crohn's disease activity: a retrospective study.

Purpose: Discuss the selection of imaging parameters in dual-energy CT enterography (DECTE) assessment for patients with Crohn's disease (CD) at different activity levels.

Method: This study analyzed data from 55 CD patients who had DECTE and endoscopy from 2020 to 2022. Patients were divided into moderate-severe (Crohn's Disease Endoscopic Index of Severity (CDEIS) ≥ 10) and remission-mild (CDEIS < 10) groups.