OOIR: Observatory of International Research

Papers

(The H4-Index of Radiologia Medica is 35. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression	272
Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome	204
A deep look into radiomics	182
Chest CT features of coronavirus disease 2019 (COVID-19) pneumonia: key points for radiologists	151
Radiographic severity index in COVID-19 pneumonia: relationship to age and sex in 783 Italian patients	112
Delta radiomics: a systematic review	107
Artificial intelligence to codify lung CT in Covid-19 patients	89
CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors	72
A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer	66
Interventional Radiology ex-machina: impact of Artificial Intelligence on practice	64
Dynamic contrast-enhanced MRI in oncology: how we do it	62
The lingering manifestations of COVID-19 during and after convalescence: update on long-term pulmonary consequences of coronavirus disease 2019 (COVID-19)	61
Radiomic features for prostate cancer grade detection through formal verification	54
Artificial intelligence in cardiac radiology	52
The lung ultrasound: facts or artifacts? In the era of COVID-19 outbreak	52
Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features	46
Advanced CT techniques for assessing hepatocellular carcinoma	46
Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence	45
CT texture analysis for prediction of EGFR mutational status and ALK rearrangement in patients with non-small cell lung cancer	44
Computed tomography-based radiomics approach in pancreatic tumors characterization	44
MRI T2-weighted sequences-based texture analysis (TA) as a predictor of response to neoadjuvant chemo-radiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC)	43
Gastrointestinal neuroendocrine neoplasms (GI-NENs): hot topics in morphological, functional, and prognostic imaging	43
Validation of the standardized index of shape tool to analyze DCE-MRI data in the assessment of neo-adjuvant therapy in locally advanced rectal cancer	41
Quantitative Chest CT analysis in discriminating COVID-19 from non-COVID-19 patients	39
Myocarditis: imaging up to date	39

COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT)	38
Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis	37
Structured reporting of computed tomography in the staging of colon cancer: a Delphi consensus proposal	37
Radiomic analysis of the optic nerve at the first episode of acute optic neuritis: an indicator of optic nerve pathology and a predictor of visual recovery?	36
CT-guided percutaneous drainage of abdominopelvic collections: a pictorial essay	36
Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data	35
Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): a comparison of predictive performance of multiple classifiers modeling to identify cervical lymph node metastases before	35
Breast imaging and cancer diagnosis during the COVID-19 pandemic: recommendations from the Italian College of Breast Radiologists by SIRM	35
Severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza, and COVID-19, beyond the lungs: a review article	35
Chest CT in patients with a moderate or high pretest probability of COVID-19 and negative swab	35
Whole-body magnetic resonance imaging (WB-MRI) for cancer screening: recommendations for use	35