Integrating machine learning with histopathological, immunohistochemical, and PET parameters in the study of invasive breast carcinoma, no special type [0.03%]
结合组织病理学、免疫组化和正电子发射断层扫描参数的机器学习在浸润性乳腺癌（非特殊型）中的应用研究
Berkay Çağdaş,Hüseyin Şan,Kardelen Çağdaş et al.
Berkay Çağdaş et al.
Background: This study investigates the relationship between histopathological (HP) features, immunohistochemical (IHC) markers, 18F- FDG PET/CT parameters, and machine learning algorithms in patients diagnosed with invas...
A clinical-radiomic model based on best subset regression for prognostic prediction in natural killer/T-cell lymphoma [0.03%]
基于最佳子集回归的鼻咽 NK/T细胞淋巴瘤预后预测临床影像组学模型
Fangfang Tian,Longlan Chen,Xiaoliang Chen et al.
Fangfang Tian et al.
Background: The outcomes of patients with natural killer/T-cell lymphoma (NKTCL) are heterogeneous, thus, this study aimed to develop and validate prognostic models for overall survival (OS) and progression-free survival ...
The feasibility of [18F]PSMA-1007 PET/CT for response assessment in prostate cancer following neoadjuvant androgen deprivation therapy compared with mpMRI [0.03%]
[18F]PSMA-1007 PET/CT用于评估新辅助去势治疗后前列腺癌的疗效与多参数磁共振成像对比的可行性研究
Sangwoo Cho,Hyo Jung Seo,Hyunkyung Han et al.
Sangwoo Cho et al.
Background: We investigated the utility of 18F-labeled prostate-specific membrane antigen positron emission tomography/computed tomography ([18F]PSMA-1007 PET/CT) for assessing residual tumor burden after neoadjuvant andr...
MRI features outperform histologic grade for outcome prediction in translocation-driven enriched soft-tissue sarcoma [0.03%]
分子重排富集的软组织肉瘤中，MRI特征比病理分级更有利于预后判断
Han-Ying Lin,Ching-Lan Wu,Chih-Hsueh Chen et al.
Han-Ying Lin et al.
Background: Most MR-based prognostic series in soft-tissue sarcoma (STS) were derived in cohorts dominated by complex-karyotype histologies; whether conventional MR descriptors retain prognostic value in translocation-dri...
Quantitative assessment of tumor burden in multiple myeloma using MY-RADS from whole-body MRI: comparison with established prognostic biomarkers [0.03%]
基于全身MRI的多发性骨髓瘤肿瘤负荷的MY-RADS定量化评估及其与传统预后生物学标志物的对比研究
Xing Xiong,Zhi Yan,Jia Wang et al.
Xing Xiong et al.
Background: To explore the value of MY-RADS from whole-body MRI in assessing tumor burden in MM with reference to established prognostic biomarkers. Metho...
Prospective exploratory pilot study of 18 F-FMISO PET/CT for assessing tumor hypoxia in soft tissue sarcomas [0.03%]
18F-FMISO-PET/CT评估软组织肉瘤肿瘤低氧的前瞻性探索性研究
Ronnie Sebro,Ashley M Fuller,T S Karin Eisenger-Matheson et al.
Ronnie Sebro et al.
Hypoxia is associated with poor outcomes in soft tissue sarcoma (STS) and is linked to increased expression of hypoxia-inducible factor 1-alpha (HIF-1α), carbonic anhydrase IX (CAIX), and lysyl hydroxylase 2 (PLOD2). These factors are pote...
Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study [0.03%]
宫颈癌中NODE-RADS的多阅片者一致性及诊断效能研究
Shifang Tan,Xueyan Liu,Bairu Li et al.
Shifang Tan et al.
Objectives: To evaluate the agreement and diagnostic performance of the Node Reporting and Data System 1.0 (Node-RADS) for preoperative lymph node staging in cervical cancer across readers with different experience levels...
Risk stratification of advanced extranodal extension in retropharyngeal lymph nodes for nasopharyngeal carcinoma: a multi-center study [0.03%]
鼻咽癌后咽淋巴结亚临床型和显性型颈部淋巴结转移的危险度分层研究——多中心研究报告
Junyi Liu,Zhenzhang Chen,Bolin Lu et al.
Junyi Liu et al.
Background: This study aimed to refine risk stratification of advanced extranodal extension (ENE) in retropharyngeal lymph nodes (RLNs) and evaluate its prognostic significance. ...
MRI-based deep learning combined with radiomics for the preoperative prediction of lymphovascular invasion in patients with bladder cancer [0.03%]
基于MRI的深度学习结合影像组学用于预测膀胱癌患者术前淋巴血管侵袭
Chang Chen,Zhengye Tan,Lingkai Cai et al.
Chang Chen et al.
Background: Lymphovascular invasion (LVI) signifies poor prognosis in bladder cancer, yet reliable preoperative prediction remains challenging, limiting personalized treatment planning. ...
[18F] PSMA-3Q PET/CT radiomics at 45% SUVmax threshold: predicting post-surgical ISUP grade ≥ 4 and extraprostatic extension for noninvasive stratification in prostate cancer management [0.03%]
基于[SUVmax阈值45％]的18F-PSMA-3Q PET / CT影像组学：在前列腺癌管理中用于预测术后ISUP分级≥4和前列腺外扩展的非侵入性分层指标
Jianbo Cui,Yachao Liu,Guanyun Wang et al.
Jianbo Cui et al.
Objective: To systematically evaluate radiomic features extracted from [18F] PSMA-3Q PET/CT using 40%, 45%, and 50% SUVmax thresholds for their ability to predict post-surgical International Society of Urological Patholog...