学术放射学发表关于诊断成像、放射性同位素诊断使用、计算机断层扫描、正电子发射断层扫描、磁共振成像、超声、数字减影血管造影、图像引导干预和相关技术的临床和实验室研究的原始报告。它还包括描述原始观测、技术和仪器开发的简要技术报告；关于临床问题、新技术和其他当前医学重要性主题的最新报告；荟萃分析；放射学教育的科学研究和意见；和给编辑的信。

The journal "Academic Radiology" publishes original reports on clinical and laboratory research related to diagnostic imaging, the use of radiopharmaceuticals, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasound, digital subtraction angiography, image-guided interventions, and related technologies. It also includes brief technical reports describing original observations, the development of techniques and instruments; updates on clinical issues, new technologies, and other topics of current medical significance; meta-analyses; scientific research and opinions on radiology education; and letters to the editor.

《Academic Radiology》期刊发表关于诊断成像、放射性同位素诊断、计算机断层扫描、正电子发射断层扫描、磁共振成像、超声、数字减影血管造影、图像引导干预及相关技术的临床和实验室研究的原始报告。此外，期刊还包括简要的技术报告，描述原始观察、技术和仪器的开发；关于临床问题、新技术及其他医学重要主题的最新报告；荟萃分析；放射学教育的科学研究和意见；以及给编辑的信件。

Academic Radiology

The purpose of this study was to critically appraise and compare the diagnostic performance of imaging modalities that are used for the diagnosis of upper and lower/bladder urinary tract cancer, transitional cell carcinoma (TCC).

Seyed Amirhossein Razavi

Gelareh Sadigh

Aine M Kelly

Paul Cronin

Academic radiology

Acad Radiol

Comparative effectiveness of imaging modalities for the diagnosis of upper and lower urinary tract malignancy: a critically appraised topic.

To develop and validate a radiomic model, with radiomic features extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) from a 1.5T scanner, for predicting the malignancy of masses with enhancement. Images were acquired using an 8-channel breast coil in the axial plane. The rationale behind this study is to show the feasibility of a radiomics-powered model that could be integrated into the clinical practice by exploiting only standard-of-care DCE-MRI with the goal of reducing the required image pre-processing (ie, normalization and quantitative imaging map generation).107 radiomic features were extracted from a manually annotated dataset of 111 patients, which was split into discovery and test sets. A feature calibration and pre-processing step was performed to find only robust non-redundant features. An in-depth discovery analysis was performed to define a predictive model: for this purpose, a Support Vector Machine (SVM) was trained in a nested 5-fold cross-validation scheme, by exploiting several unsupervised feature selection methods. The predictive model performance was evaluated in terms of Area Under the Receiver Operating Characteristic (AUROC), specificity, sensitivity, PPV and NPV. The test was performed on unseen held-out data.The model combining Unsupervised Discriminative Feature Selection (UDFS) and SVMs on average achieved the best performance on the blinded test set: AUROC = 0.725±0.091, sensitivity = 0.709±0.176, specificity = 0.741±0.114, PPV = 0.72±0.093, and NPV = 0.75±0.114.In this study, we built a radiomic predictive model based on breast DCE-MRI, using only the strongest enhancement phase, with promising results in terms of accuracy and specificity in the differentiation of malignant from benign breast lesions.

Carmelo Militello

Leonardo Rundo

Mariangela Dimarco

Alessia Orlando

Ramona Woitek

Ildebrando D'Angelo

Giorgio Russo

Tommaso Vincenzo Bartolotta

3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients

乳腺癌患者恶性病变预测的三维动态对比增强磁共振成像放射组学分析

Predicting increased risk of future healthcare utilization in chronic obstructive pulmonary disease (COPD) patients is an important goal for improving patient management.

Amir Moslemi

Kalysta Makimoto

Wan C Tan

Jean Bourbeau

James C Hogg

Harvey O Coxson

Miranda Kirby

Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPD.

定量CT肺部成像与机器学习提升慢性阻塞性肺病患者急诊就诊和住院预测的准确性。

Cervical disc degeneration can result in nerve root compression and severe symptoms that significantly impair the patient's quality of life. The purpose of this study is to investigate multiple diffusion metrics changes in the diffusion tensor imaging (DTI) of cervical nerve roots and their relationship with the clinical severity of patients with cervical disc herniation.

Yue-Yao Chen

Xiao-Feng Lin

Fang Zhang

Xiang Zhang

Hui-Jun Hu

Dong-Ye Wang

Lie-Jing Lu

Jun Shen

Diffusion tensor imaging of symptomatic nerve roots in patients with cervical disc herniation.

颈椎间盘突出症患者症状性神经根的弥散张量成像研究。

The conceptualization of acetabular fractures can present a daunting challenge to radiology residents. 3D models have been shown to aid in the spatial perception of complicated anatomy and may help residents grasp the elaborate classification systems for these anatomically complex fractures. Prior studies have explored the utility of 3D printed models for surgical planning in various settings. To our knowledge, no study has evaluated their efficacy in radiology resident training.

Omer A Awan

Maunil Sheth

Ian Sullivan

Jafar Hussain

Padmaja Jonnalagadda

Stephen Ling

Sayed Ali

Efficacy of 3D Printed Models on Resident Learning and Understanding of Common Acetabular Fracturers.

3D打印模型对住院医师学习和理解常见髋臼骨折效果的研究。

The correlation between collateral circulation and futile recanalization (FR) is still controversial, and few studies have explored the influence of comprehensive cerebral collateral circulation on FR after endovascular stroke treatment. Therefore, based on cerebral collateral recycle (CCR) status, we aimed to establish an effective scoring system to identify the probability of FR.

Chen Gong

Shuyu Jiang

Liping Huang

Zhiyuan Wang

Yankun Chen

Ziyang Huang

Jin Liu

Jinxian Yuan

You Wang

Siyin Gong

Shengli Chen

Yangmei Chen

Tao Xu

Predicting Futile Recanalization by Cerebral Collateral Recycle Status in Patients with Endovascular Stroke Treatment: The CHANOA Score.

预测血管内卒中治疗患者无效再通的大脑侧支循环状态：CHANOA评分

This retrospective casecontrol study evaluated the efficacy and safety of CT-guided preoperative localization via adjacent microcoil implantation for reducing the operative time of laparoscopic partial nephrectomy (LPN) in patients with endophytic renal masses.

Zhiyuan Zhang

Tianhao Su

Siwei Yang

Xuanhao Li

Wei Wei

Jian Song

Kelei Mao

Long Jin

CT-guided Preoperative Localization via Adjacent Microcoil Implantation Prior to Laparoscopic Partial Nephrectomy for Totally Endophytic Renal Masses Reduces Operative Time: A CaseControl Study.

CT引导下术前通过邻近微线圈植入定位在腹腔镜部分肾切除术前完全内生性肾肿瘤中缩短手术时间：一项病例对照研究。

Central arterial blood pressure (CBP) is considered a more valuable prognostic marker of major cardiovascular diseases than peripheral blood pressure. Non-invasive evaluation of central aortic pressure by Doppler echocardiography is a hopeful tool, avoiding many complications of invasive catheter strategy and diminishing time and costs.

Mohammed Salah Hussein

Maged Z Amer

Mohammed K Kabil

Khaled Saad

Rady Elmonier

Ahmed Yousry

The Feasibility of Measuring Central Blood Pressure with Bedside Echocardiography: An Observational Cross-Sectional Study

使用床边超声心动图测量中心血压的可行性：一项观察性横断面研究

Seyedmehdi Payabvash

Predicting Intracerebral Hemorrhage Outcomes Using Deep Learning Models to Extract Head CT Imaging Features

使用深度学习模型提取头部CT影像特征预测脑出血结局

Lily M. Belfi

Michele Retrouvey

L. Alexandre Frigini

Samantha Harrington

Zoe Verzani

Ryan Woods

Sarah L. Averill

Current Trends in Remote and Flexible Work Options in Radiology and Perception of Impact on Radiologist Well-being

放射学中远程和灵活工作方式的当前趋势及其对放射科医生福祉影响的认知

Abbreviation	Acad. Radiol.
Journal Impact	3.97
Quartiles(Global)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING(Q1)

ISSN	1076-6332, 1878-4046
h-index	110

Publication Information	Publisher: Elsevier Inc.，Publishing cycle: Monthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1994，Proportion of original research papers: 89.94%，Self Citation Rate:18.40%， Gold OA Rate: 11.20%
Average review cycle	网友分享经验：平均4月
Average recruitment ratio	网友分享经验：容易来源Elsevier官网：31%

Academic Radiology

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