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http://dx.doi.org/10.1016/j.hjc.2024.10.002 | DOI Listing |
Abdom Radiol (NY)
January 2025
Department of Radiology, Taizhou Municipal Hospital, Taizhou, Zhejiang, China.
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.
Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
J Gastroenterol
January 2025
Department of Infectious Diseases, the First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road 277, Xi'an, 710061, China.
Background: We aim to comprehensively analyze and validate the prognostic efficacy of tetraspanin 4 (TSPAN4) and several other migrasome-related markers in hepatocellular carcinoma (HCC).
Methods: The expression, diagnostic, and prognostic efficacy of five migrasome-related genes in HCC were analyzed using several databases. Five pairs of adjacent non-tumor tissues and HCC tissues were used to validate the expression.
J Sex Med
January 2025
Clinical Obstetric and Gynecological V Buzzi, ASST-FBF-Sacco, Via Castelvetro 24-20124-University of the Study of Milan, Milan, Italy.
Background: Vulvodynia is a multifactorial disease affecting 7%-16% of reproductive-aged women in general population; however, little is still known about the genetics underlying this complex disease.
Aim: To compare polygenic risk scores for hormones and receptors levels in a case-control study to investigate their role in vulvodynia and their correlation with clinical phenotypes.
Methods: Our case-control study included patients with vestibulodynia (VBD) and healthy women.
Am J Sports Med
January 2025
Department of Orthopaedics, Rush University Medical Center, Rush University Medical College, Chicago, Illinois, USA.
Background: Critical analysis of studies with high level of evidence has relied on the significance set by the reported values. However, this strategy steers readers toward categorical interpretation of the data; therefore, a more comprehensive approach of data analysis is warranted. The continuous fragility index (CFI) allows for frailty interpretation of any given study's continuous outcome results.
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