A CT-based 2.5D deep learning model for preoperative T-staging in gastric cancer: a retrospective multicenter study [0.03%]
基于CT的2.5D深度学习模型在胃癌术前T分期中的价值：一项回顾性多中心研究
Ying Liu,Xiao Zhang,Wangyang He et al.
Ying Liu et al.
Purpose: To develop and validate a 2.5D multi-angle deep learning (MADL) model for preoperative T-staging in patients with gastric cancer (GC) and to explore the predictive potential for survival outcome. ...
Stephen Polanski,J Louis Hinshaw,Chris Gu
Stephen Polanski
As radiotherapy has evolved and improved, it has become possible to apply higher doses of radiation more safely. However, adjacent structures and the associated collateral damage remains an important consideration. Creating separation betwe...
Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI [0.03%]
基于动态对比增强MRI的肝细胞癌深度学习检测方法研究
Killian Monnin,Patrick Jeltsch,Lucia Fernandes-Mendes et al.
Killian Monnin et al.
Objective: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T1 weighted imaging (WI) Dynamic Contrast-Enhanced (DCE) liver MRI using extracellular contrast agent, and to analyze its ...
18F-FDG PET-based ensemble deep learning model for the prediction of lymphovascular invasion in colorectal cancer patients [0.03%]
基于18F-FDG PET的深度学习模型在结直肠癌患者淋巴血管浸润预测中的应用
Hongyue Zhao,Zhehao Lyu,Yexin Su et al.
Hongyue Zhao et al.
Objective: The aim of this study was to investigate the diagnostic performance of the 2.5-dimensional (2.5D) ensemble deep learning (DL) model based on 18F-fuorodeoxyglucose (FDG) positron emission tomography (PET) images...
A comprehensive approach to the CT detection and evaluation of large adrenal masses part 2: malignant adrenal lesions and future directions [0.03%]
肾上腺肿大的CT检测和评估的全面方法第二部分：恶性肾上腺病变及未来方向
Hajra Arshad,Satomi Kawamoto,Linda C Chu et al.
Hajra Arshad et al.
Large adrenal tumors have traditionally been associated with high risk of malignancy; however, recent studies challenge this assumption, highlighting that a significant proportion of large adrenal lesions are benign. With increasing detecti...
Development and validation of a multiphase computed tomography-based radiomics classifier for differentiating retroperitoneal non-fatty dedifferentiated liposarcoma from leiomyosarcoma [0.03%]
基于多相CT的影像组学分类器在区分腹膜后非脂肪去分化的滑膜肉瘤和平滑肌肉瘤中的应用开发与验证
Enlong Zhang,Yuan Li,Lu Ma et al.
Enlong Zhang et al.
Objective: We aimed to develop and internally validate a radiomics classification model based on multiphase computed tomography (CT) scans for preoperative differentiation of retroperitoneal non-fatty dedifferentiated lip...
Nicholas A Zacharias,Ananya Panda,Amr Elmahdy et al.
Nicholas A Zacharias et al.
Cesarean delivery is a common procedure, currently accounting for one-third of live births in the US. In the acute post-operative setting, it can be difficult to distinguish changes of the expected recovery of the uterus from those of compl...
Preoperative prediction of cervical cancer recurrence using explainable MRI radiomics: a SHAP-Guided machine learning study [0.03%]
基于可解释性MRI影像组学的宫颈癌复发术前预测研究：一种SHAP引导型机器学习方法
Weixia Lin,Xiaoyu Lan,Weixi Huang et al.
Weixia Lin et al.
Purpose: To develop and validate a machine learning model that integrated MRI radiomics features and clinical factors for preoperative prediction of postoperative recurrence in cervical cancer. ...
Contrast-enhanced MRI for identifying the steatohepatitic hepatocellular carcinoma from small hepatocellular carcinoma [0.03%]
增强MRI在小肝细胞癌诊断中的应用：与脂肪性肝病相关肝细胞癌的鉴别诊断价值评估
Jiachen Liu,Xiurong Ding,Yanyan Zhang et al.
Jiachen Liu et al.
Objective: Aims to evaluate the potential of contrast-enhanced magnetic resonance imaging (MRI) in distinguishing steatohepatitic hepatocellular carcinoma (SH-HCC) from small(diameter < 2 cm) non-otherwise specified hepat...
Diagnosis of liver fibrosis degree in autoimmune liver disease by magnetic resonance diffusion-weighted imaging [0.03%]
磁共振弥散加权成像诊断自身免疫性肝病患者肝纤维化分期
Yanyan Lu,Jun Chen,Ji Dong et al.
Yanyan Lu et al.
Background: Fibrosis is a key pathological feature of autoimmune liver diseases (AILD). This study evaluates the diagnostic potential of apparent diffusion coefficient (ADC) values from diffusion-weighted imaging (DWI) fo...