Radiologia Medica
Radiologia Medica(英文缩写 RADIOL MED),ISSN 0033-8362,eISSN 1826-6983 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 6.313 | Q1 |
| 2022 | 8.900 | Q1 |
| 2023 | 9.700 | Q1 |
| 2024 | 4.800 | Q1 |
| 2025 | 5.300 | Q1 |
Radiologia Medica 最新收录文献
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1. Outcomes and adverse events of postoperative stereotactic interventional radiotherapy/brachytherapy for brain metastases: a systematic review.
PMID:作者:日期:2026-09-18Postoperative radiotherapy is commonly used after resection of brain metastases, but durable local control with a low rate of adverse events (AEs) remains challenging. This systematic review summarizes outcomes and AEs of postoperative stereotactic interventional radiotherapy (S-IRT; brachytherapy) …
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2. Early post-transplant ventilation and perfusion assessment using phase-resolved functional lung MRI.
PMID:作者:日期:2026-09-18Post-transplant functional lung surveillance relies on global ventilatory assessment using spirometry, lacking regional ventilation and perfusion measures. We aimed to assess early post-transplant lung function in clinically stable recipients using phase-resolved functional lung (PREFUL) MRI. In thi…
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4. Radiomics-based prediction of pituitary adenoma consistency: a systematic review and meta-analysis.
PMID:作者:日期:2026-09-18Pituitary adenoma consistency significantly influences surgical strategy and outcomes, yet it cannot be reliably predicted using conventional imaging. By converting images into quantitative data, radiomics can identify imaging patterns that may not be distinguishable by standard visual interpretatio…
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5. IgeaNet: a deep learning model for opportunistic osteoporosis screening from chest X-ray images.
PMID:作者:日期:2026-09-17To develop and validate a multi-modal deep learning model for opportunistic screening of osteoporosis by classifying bone mineral density (BMD) from chest radiographs integrated with clinical metadata. This single-centre retrospective study included 833 adult patients who underwent chest radiography…
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6. xsCT-based radiomics for adrenal incidentaloma characterization.
PMID:作者:日期:2026-09-17The aim of this retrospective monocentric study is to examine the role of radiomics in distinguishing benign and malignant adrenal incidentalomas (AIs) analyzing computed tomography (CT) images. We retrospectively selected patients with clinical or histologic diagnosis of adrenal pathology studied i…
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8. Artificial intelligence-assisted triage of screening mammograms following breast-conserving therapy: a comparative simulation study.
PMID:作者:日期:2026-09-11To evaluate the diagnostic performance and potential of artificial intelligence (AI)-based triage for screening mammograms following breast-conserving therapy (BCT). In this retrospective study, consecutive post-BCT mammograms obtained between January and May 2021 were analyzed and divided into ipsi…
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9. Optimizing MRI sequence selection for glioma classification: a radiomics-based analysis of WHO CNS grade, final pathological diagnosis, and IDH status.
PMID:作者:日期:2026-09-06Multi-sequence MRI protocols for glioma classification are resource-intensive, prompting the need to identify optimal, potentially reduced imaging protocols. To evaluate the diagnostic utility of individual MRI sequences (ASL, DWI, FLAIR, SWI, T1w, T2w) for classifying WHO CNS grade (II, III, IV), f…
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10. Influence of metastases composition on the conspicuity of melanoma brain metastases: a comparative study of post-contrast 3D T1WI GRE versus 3D T1WI TSE black blood.
PMID:作者:日期:2026-08-20To compare the conspicuity of melanoma brain metastases on post-contrast 3D T1 gradient-recalled echo (GRE) and 3D T1 turbo spin-echo (TSE) black blood sequences, according to metastases composition. In this prospective single-center study, consecutive adult melanoma patients underwent contrast-enha…