CT-Based radiomics and deep learning for the preoperative prediction of peritoneal metastasis in ovarian cancers [0.03%]
基于CT的影像组学和深度学习在卵巢癌术前预测腹膜转移中的应用
Yanjun Liu,Huanying Yin,Jiaojiao Li et al.
Yanjun Liu et al.
Objectives: To develop a CT-based deep learning radiomics nomogram (DLRN) for the preoperative prediction of peritoneal metastasis (PM) in patients with ovarian cancer (OC). ...
Diagnostic and clinical utility of ultrasound elastography for uterine cervical neoplasms-a comprehensive systematic review and meta-analysis [0.03%]
系统回顾与meta分析：子宫颈病变诊断及临床意义超声弹性成像价值评估
Fatemeh Mahdavi Sabet,Shayan Forghani,Amirhossein Shahsavand et al.
Fatemeh Mahdavi Sabet et al.
Purpose: Cervical cancer remains a major burden, especially in low-resource settings, due to limited screening. Traditional diagnostic tools, like colposcopy, are operator-dependent and often lack accuracy. Ultrasound ela...
Dual-energy CT to evaluate the infiltration status of tumor-associated macrophage (TAM) in gastric cancer: a preliminary study [0.03%]
双能量CT评估胃癌肿瘤相关巨噬细胞浸润状态的初步研究
Hua Shi,Wan Yang,Xiangmei Qiao et al.
Hua Shi et al.
Purpose: To explore the relationship between tumor-associated macrophages (TAMs) in gastric cancer and dual-energy computed tomography (DECT) parameters. ...
Ratio of visceral-to-subcutaneous fat area improves long-term mortality prediction over either measure alone: automated CT-based AI measures with longitudinal follow-up in a large adult cohort [0.03%]
基于CT的自动AI测量显示：与单独任一指标相比，内脏脂肪与皮下脂肪面积比值可更好地预测长期死亡率：来自一大型成人队列的纵向随访数据
Daniel Liu,Adam J Kuchnia,Glen M Blake et al.
Daniel Liu et al.
Background: Fully automated AI-based algorithms can quantify adipose tissue on abdominal CT images. The aim of this study was to investigate the clinical value of these biomarkers by determining the association between ad...
Reevaluating diagnostic confidence: the impact of delayed excretory phase imaging in CT urography on detecting renal and urinary tract abnormalities [0.03%]
延迟排泄期CT尿路成像对肾脏和泌尿系统异常检测的影响及其对诊断信心的再评价
Negar Firoozeh,Sung Yoon Park,Deepashri Basavalingu et al.
Negar Firoozeh et al.
Objective: To assess the diagnostic value of the delayed excretory phase in computed tomography urography (CTU) for detecting renal and urinary tract abnormalities and its impact on readers' confidence in patients with he...
MRI for prognosis prediction of T3-stage rectal cancer based on "DISTANCE" structural report [0.03%]
基于"DISTANCE"结构报告的T3期直肠癌预后预测的磁共振成像研究
Yuen Xie,Jiaqi Chen,Rui Song et al.
Yuen Xie et al.
Purpose: To explore whether magnetic resonance imaging (MRI) features, when employed with the MRI structural report "DISTANCE," allow the prediction of the overall survival (OS) and progression-free survival (PFS) of pati...
Multi-institutional study for comparison of detectability of hypovascular liver metastases between 70- and 40-keV images: DELMIO study [0.03%]
低血管肝转移瘤双能量CT成像增血管剂注射与非注射的多中心对比研究：DELMIO研究
Shintaro Ichikawa,Satoshi Funayama,Tomoko Hyodo et al.
Shintaro Ichikawa et al.
Purpose: To compare the lesion detectability of hypovascular liver metastases between 70-keV and 40-keV images from dual energy-computed tomography (CT) reconstructed with deep-learning image reconstruction (DLIR). ...
Prognostic significance of MRI-derived sarcopenia in patients with endometrial cancer [0.03%]
基于MRI的肌少症在子宫内膜癌患者中的预后意义
Tahsin Aybal,Esra Keles,Beyzanur Kahyaoğlu et al.
Tahsin Aybal et al.
Objective: To investigate the prognostic significance of MRI-derived sarcopenia in patients with endometrial cancer (EC), and to explore its association with clinicopathological features, treatment characteristics, and su...
Application of histogram analysis based on DCE-MRI in predicting metachronous liver metastasis and metastasis-free survival in rectal cancer [0.03%]
基于DCE-MRI的直肠癌肝转移 Histogram 分析在预测异时性肝转移及无复发生存期中的应用研究
Ke-Xin Wang,Jing Yu,Qing Xu et al.
Ke-Xin Wang et al.
Background: This study aimed to construct histogram analysis (HA) based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) from primary tumor and mesorectum for early post-treatment risk stratification of m...
FOCUS-DWI improves prostate cancer detection through deep learning reconstruction with IQMR technology [0.03%]
基于IQMR技术的深度学习重建改善了FOCUS-DWI前列腺癌检测能力
Yi Zhao,Xiao-Liang Xie,Xi Zhu et al.
Yi Zhao et al.
Purpose: This study explored the effects of using Intelligent Quick Magnetic Resonance (IQMR) image post-processing on image quality in Field of View Optimized and Constrained Single-Shot Diffusion-Weighted Imaging (FOCUS...