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- Application of Quantitative CT and Machine Learning in the Evaluation and Diagnosis of Polymyositis/Dermatomyositis-Associated Interstitial Lung Diseaseby Kai Yang, Yanrong Chen, Liyu He, Yadan Sheng, He Hei, Jingping Zhang, Chenwang Jin on May 16, 2025 at 12:00 am
To investigate lung changes in patients with polymyositis/dermatomyositis-associated interstitial lung disease (PM/DM-ILD) using quantitative CT and to construct a diagnostic model to evaluate the application of quantitative CT and machine learning in diagnosing PM/DM-ILD.
- The Clinical and Neuroimaging Factors of Stroke Outcome of Unilateral Moyamoya Diseaseby Hongtao Zhang, Mingming Lu, Shitong Liu, Dongqing Liu, Heguan Fu, Cong Han, Baobao Li, Fugeng Sheng, Jianming Cai on May 16, 2025 at 12:00 am
The clinical feature and long-term prognosis of unilateral moyamoya disease (MMD) have not been fully described and studied. The study aimed to investigate independent risk factors for stroke in unilateral MMD patients during a long-term follow-up.
- Utilizing Clinicopathological and Radiomic Features for Risk Stratification of Lung Cancer Recurrenceby Wai Lone J. Ho, Nikolai Fetisov, Lawrence O. Hall, Dmitry Goldgof, Matthew B. Schabath on May 15, 2025 at 12:00 am
To predict recurrence risk in patients with surgically resected non-small cell lung cancer (NSCLC) using radiomic analysis and clinicopathological factors.
- Explainable Fusion Model for Predicting Postoperative Early Recurrence in Hepatocellular Carcinoma Using Gadoxetic Acid-Enhanced MRI Habitat Imagingby Yanjin Qin, Lie-guang Zhang, Xiaoqi Zhou, Chenyu Song, Yuxin Wu, Mimi Tang, Zhoukun Ling, Jifei Wang, Huasong Cai, Zhenpeng Peng, Shi-Ting Feng on May 15, 2025 at 12:00 am
To develop an explainable fusion model that combines clinical, radiomic, and habitat features to predict postoperative early recurrence in hepatocellular carcinoma (HCC).
- Developing and Evaluating a Nomogram Model Predicting Axillary Lymph Node Metastasis of Triple-Negative Breast Cancer Based on Multimodal Imaging Characteristicsby Yantong Jin, Xingyuan Liu, Xingda Zhang, Yang Wang, Xiaoying Cheng, Siwei Cao, Wuyue Zhang, Mingming Zhao, Ye Ruan, Bo Gao on May 15, 2025 at 12:00 am
Breast cancer is the most frequently diagnosed cancer among women worldwide, with axillary lymph nodes being common sites of metastasis, particularly triple-negative breast cancer (TNBC), which is the subtype with the poorest prognosis. This study aimed to develop a nomogram model to predict axillary lymph node metastasis (ALNM) in TNBC patients based on mammography (MG), multimodal ultrasound (US), and clinical pathological characteristics.
MedPage Today Radiology Radiology Medical News
- SBRT Well Tolerated After Radical Prostatectomyon May 15, 2025 at 8:04 pm
(MedPage Today) -- The use of stereotactic body radiotherapy (SBRT) as salvage therapy after radical prostatectomy was well tolerated, with no significant differences in urinary and bowel patient-reported outcomes compared with observations with...
- UnitedHealth Under Criminal Investigation; New CDC Cuts; AI Radiologists?on May 15, 2025 at 1:28 pm
(MedPage Today) -- Note that some links may require registration or subscription. UnitedHealth Group is being investigated by the Justice Department for possible Medicare fraud. (Reuters via Wall Street Journal) Eleven elementary school students...
- Similar Relief From Cancer-Related Pain With Two Radiotherapy Techniqueson May 14, 2025 at 9:46 pm
(MedPage Today) -- Single-fraction stereotactic body radiotherapy (SBRT) failed to improve cancer-related bone pain in a randomized comparison with conventional radiation therapy (RT). The complete response (CR) rate at 1 month improved from 25...
- AI Can Be an Asset to Clinicians and Health Systems -- If It Is Properly Introducedon May 11, 2025 at 1:46 pm
(MedPage Today) -- PHILADELPHIA -- Artificial intelligence (AI) can be seen as an asset to health systems rather than a threat to the workforce -- if it is sold properly, several speakers said here at the Population Health Colloquium hosted...
- Which Doctors See the Fewest Patients per Hour?on May 8, 2025 at 3:21 pm
(MedPage Today) --A recent report was released on the average number of patients seen per hour by specialty, which ranges from 1 to over 15. If that sounds like a lot, that's because it is. Physicians and hospitals make money based on the...
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