La Radiologia Medica, founded in 1914, is the official journal of the Italian Society of Medical and Interventional Radiology. It is a peer-reviewed journal intended as a medium for the communication of results and developments in the field of radiology, particularly on advances in diagnostic imaging and its allied sciences. The journal presents original contributions on both basic and clinical aspects of modern radiology, with special emphasis placed on diagnostic and interventional imaging techniques, including clinical implications of radiotherapy, nuclear medicine, radiobiology and health physics and artificial intelligence. Contents include original articles, review articles, editorials, short reports and letters to the editor. The Journal aims at being a forum for the international radiological community.
Editor-in-Chief
Antonio Barile
English version online
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Volumes and issues
Volume 130
Issue 3 | March 2025
1. How Italian radiation oncologists use ChatGPT: a survey by the young group of the Italian association of radiotherapy and clinical oncology (yAIRO)
Autori: Antonio Piras, Federico Mastroleo, Viola Salvestrini
Sintesi: Questo studio esplora l’adozione di ChatGPT tra i radioterapisti italiani, evidenziando le modalità d’uso, i vantaggi percepiti e le preoccupazioni etiche associate all’impiego dell’intelligenza artificiale nella pratica clinica.
2. Ladies project: large database in endometrial cancers for a personalized treatment
Autori: Rosa Autorino, Raffaella Michela Rinaldi, Cynthia Aristei
Sintesi: Presentazione di un ampio database multicentrico per il carcinoma endometriale, mirato a sviluppare trattamenti personalizzati basati su dati clinici e radiologici.
3. Radioembolization for Hepatocellular Carcinoma: a Comparison on Dual-phase Cone-beam CT, Contrast-enhanced CT (CECT) and 99mTc-macroaggregated albumin-SPECT/CT in predicting final distribution volumes and dosimetry of the post-embolization 90Y PET/CT
Autori: Ettore di Gaeta, Michela Olivieri, Francesco De Cobelli
Sintesi: Confronto tra diverse tecniche di imaging per prevedere la distribuzione e la dosimetria della radioembolizzazione con ittrio-90 nei pazienti con carcinoma epatocellulare.
4. Lean body weight-based contrast injection protocol in liver CT: optimization of contrast medium dose
Autori: Damiano Caruso, Domenico De Santis, Andrea Laghi
Sintesi: Studio sull’ottimizzazione della dose di mezzo di contrasto in TC epatica, basato sul peso corporeo magro, per migliorare la qualità dell’immagine e ridurre il rischio di sovradosaggio.
5. Profile and methodology of ancillary protective measures employed during percutaneous renal cryoablation in a single high-volume centre
Autori: Sinan Orkut, Pierre De Marini, Afshin Gangi
Sintesi: Analisi delle misure protettive accessorie utilizzate durante la crioablazione renale percutanea, focalizzandosi su tecniche per minimizzare i rischi per i pazienti.
6. Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study
Autori: Hongfan Liao, Cheng Huang, Yongmei Li
Sintesi: Sviluppo e validazione di un modello di deep learning per la classificazione accurata delle lesioni pancreatiche, basato su dati multicentrici.
7. Ultrasound-guided minimally invasive thread release of carpal tunnel: a cadaveric study
Autori: Suren Jengojan, Philipp Sorgo, Gerd Bodner
Sintesi: Studio cadaverico su una tecnica minimamente invasiva, guidata da ecografia, per la sezione del tunnel carpale, valutandone l’efficacia e la sicurezza.
8. The posterior cruciate ligament angle in the setting of anterior cruciate ligament deficient knees: the effect of gender, age, time from injury and tibial slope
Autori: Fabrizio Di Maria, Riccardo D’Ambrosi, Christian Fink
Sintesi: Esame dell’angolo del legamento crociato posteriore in ginocchia con lesione del legamento crociato anteriore, considerando variabili come sesso, età e inclinazione tibiale.
9. 18F-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients
Autori: Luca Urso, Luigi Manco, Melchiore Giganti
Sintesi: Utilizzo dell’analisi radiomica e dell’intelligenza artificiale su PET/CT per prevedere la risposta patologica completa dopo chemioterapia neoadiuvante nel carcinoma mammario.
10. Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography
Autori: Su Hwan Kim, Severin Schramm, Dennis M. Hedderich
Sintesi: Indagine sul bias di automazione nell’uso dell’intelligenza artificiale per la rilevazione di aneurismi cerebrali tramite angiografia RM time-of-flight.
11. Ex-vivo MR imaging of human carotid arteries at 7 Tesla: assessment of atherosclerotic plaque components
Autori: Luca Saba, Silvia Montisci, Gian Luca Saba
Sintesi: Studio ex-vivo sull’imaging RM a 7 Tesla delle arterie carotidi umane per valutare i componenti delle placche aterosclerotiche.
12. Quantification of morphological changes as an alternative to standard criteria for response assessment in tumors treated with immunotherapy
Autori: Laetitia Saccenti, Nicole Varble, Bradford J. Wood
Sintesi: Valutazione della quantificazione delle variazioni morfologiche nei tumori trattati con immunoterapia come alternativa ai criteri standard di risposta.
Issue 2 | February 2025
- Advancing precision in CT-guided bone biopsies: exploring the potential of dual-energy CT imaging
Autori: Enrico Boninsegna, Enrico Piovan, Emanuele Neri
- Qualitative and quantitative evaluation of the role of CBCT in rectal cancer radiotherapy
Autori: Geanina-Mirela Catona, Loredana G. Marcu
- A multi-center, multi-organ, multi-omic prediction model for treatment-induced severe oral mucositis in nasopharyngeal carcinoma
Autori: Alexander James Nicol, Sai-Kit Lam, Shara Wee Yee Lee
- Impact of body fat composition on liver iron overload severity in hemochromatosis: a retrospective MRI analysis
Autori: Marijan Pušeljić, Vanessa Stadlbauer, Emina Talakić
- Radiomics based on brain-to-tumor interface enables prediction of metastatic tumor type of brain metastasis: a proof-of-concept study
Autori: Mingchen Jiang, Yiyao Sun, Xiran Jiang
- Nodal assessment and extranodal extension in head and neck squamous cell cancer: insights from computed tomography and magnetic resonance imaging
Autori: Nicola Maggialetti, Ilaria Villanova, Amato Antonio Stabile Ianora
- A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study
Autori: Weicui Chen, Kaiyi Zheng, Xian Liu
- Quantifying morphologic variations as an alternate to standard response criteria for unresectable primary liver tumors after checkpoint inhibition therapy
Autori: Laetitia Saccenti, Nicole Varble, Bradford J. Wood
- The CT collateral map: collateral perfusion estimation and baseline lesion assessment after acute anterior circulation ischemic stroke
Autori: Hee Jong Ki, Hong Gee Roh, Hyun Jeong Kim
- Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography
Autori: Lu Zeng, Li Wen, Guang-xian Wang
- How different body compositions affect the prognosis of HCC undergoing immunotherapy: the paradoxical phenomenon of BMI
Autori: Jingzhong Ouyang, Yi Yang, Jinxue Zhou
- Albi score predicts overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with selective internal radiation therapy (SIRT)
Autori: Monica Finessi, Martina Cioffi, Andrea Doriguzzi Breatta
Issue 1 | January 2025
- Geriatric radiology: a call to action for a new approach to diagnostic imaging for elderly and frail patients
Autori: Julian Dobranowski, Kate Hanneman, Andrea Giovagnoni
- Prognostic value of pre-treatment 18F-FDG PET uptake for nasopharyngeal carcinoma
Autori: Meryem Aktan, Gul Kanyilmaz, Mustafa Adli
- Prediction of tumor response to neoadjuvant chemotherapy in high-grade osteosarcoma using clustering-based analysis of magnetic resonance imaging: an exploratory study
Autori: Giovanni Benvenuti, Simona Marzi, Vincenzo Anelli
- Metastasis-directed ablation of hepatocellular carcinoma with pulmonary oligometastases: a long-term multicenter study
Autori: Qunfang Zhou, Ruixia Li, Feng Duan
- Correlation between nova volume flow rate and TOF signal intensity ratio: value in unilateral internal carotid artery occlusion
Autori: Fabian Wolf, Elisa Colombo, Giuseppe Esposito
- Imaging in sensorineural and conductive hearing loss—an educational review
Autori: Edith Vassallo, Andre-Stefan Gatt, Lorenzo Ugga
- Interictal EEG spikes increase perfusion in low-grade epilepsy-associated tumors: a pediatric arterial spin labeling study
Autori: Antonio Giulio Gennari, Giulio Bicciato, Georgia Ramantani
- BPE on contrast-enhanced mammography: relationship with breast density, age and menopausal status
Autori: Giuliana Moffa, Francesca Galati, Federica Pediconi
- Intravoxel incoherent motion MRI to assess feto-placental diffusion and perfusion properties in small fetuses
Autori: Giada Ercolani, Silvia Capuani, Lucia Manganaro
- Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters
Autori: Tianchen Luo, Meng Yan, Zhen Zhang
- Long-term clinical outcomes of thermal ablation for benign thyroid nodules and unresolved issues: a comprehensive systematic review
Autori: So Yeong Jeong, Jung Hwan Baek
- Enhancing detection of high-level axillary lymph node metastasis after neoadjuvant therapy in breast cancer patients with nodal involvement: a combined approach of axilla ultrasound and breast elastography
Autori: Jia-Xin Huang, Feng-Tao Liu, Xiao-Qing Pei
- Quantification of normal bone and osseous metastases in castration-resistant prostate cancer using SPECT/CT with xSPECT Quant: prospective imaging sub-study of a phase 2 clinical trial investigating the combination of pembrolizumab plus radium-223 compared to radium-223 alone
Autori: Matthew S. Robertson, Yating Wang, Heather Jacene