Andrea Giovagnoni

Objectives: To develop a practical consensus for standardizing communication between rheumatologists and radiologists regarding magnetic resonance imaging (MRI) of the sacroiliac joints and spine in the diagnosis and management of axial spondyloarthritis (axSpA). Methods: A task force comprising six rheumatologists and five musculoskeletal radiologists with expertise in axSpA imaging reviewed the Assessment of SpondyloArthritis International Society (ASAS) framework to draft initial recommendations and define project goals. A broader expert panel (21 rheumatologists, 19 radiologists) then participated in a voting process to refine and validate these recommendations. Final endorsement was sought from the steering committees of the Italian Society of Medical and Interventional Radiology (SIRM) and the Italian Society of Rheumatology (SIR) using a modified Delphi method. Results: Thirty-one recommendations were validated, organized into eight domains. Domain 1 outlines five overarching principles. Domain 2 comprises recommendations on clinical features, symptoms, and risk factors. Additional domains address MRI technical parameters, including image quality and sequencing (Domain 3), and standardized reporting criteria. For the sacroiliac joints (Domains 4 and 5), five signs of inflammation and six of structural damage are defined. For the spine (Domains 6 and 7), five inflammatory and four structural features are specified. Domain 8 provides guidance on report conclusions. The recommendations were endorsed by SIRM/SIR with 88.5% approval. Conclusion: This consensus offers structured guidance for MRI requesting and reporting in axSpA, fostering clear communication between radiologists and rheumatologists. The standardized approach aims to improve diagnostic accuracy and patient outcomes.

Objective: The main objective was to assess the geographical distribution and main areas of use of dual-energy CT (DECT) scanners in Italy prior to the implementation of the National Recovery and Resilience Plan (NRRP) within the Next Generation EU (NGEU) framework. Secondary objectives included the level of knowledge of DECT among radiologists and some possible solutions to maximize its use. Methods: Between February and March 2022, an anonymous questionnaire was conducted among the members of the Italian Society of Medical and Interventional Radiology (SIRM), using the Google form platform. Results: A total of 261 radiologists (mean age 41 ± 11.7 years) from 90 Italian cities participated in the questionnaire. 42% of them worked in an academic center, and diagnostic imaging was the main area of work for most participants (87%). Most radiologists had some knowledge gap, especially those who did not have a DECT scanner available in their hospital (48.3%). Weekly use of DECT protocols varied widely between centers. Oncological imaging (70.4%) was the main area of use. Radiologists use DECT to improve contrast resolution (65.9%), characterize materials (64.4%), and reduce the amount of contrast agent (60%). 91.1% of participants reported that DECT improved their diagnostic accuracy. Conclusion: DECT scanners have become increasingly available in Italy in recent years, and their number is expected to increase with the NRRP. There is a wide variation in their use and in the expertise of radiologists, leading to a huge untapped potential, that can be improved by specific training. A similar questionnaire will be conducted at the end of the NRRP in 2027.

Aim: To assess the correlation of quantitative data of pulmonary Perfused Blood Volume (PBV) on Dual-Energy CT (DECT) datasets in patients with moderate – severe Pulmonary Emphysema (PE) with Lung Perfusion Scintigraphy (LPS) as the reference standard. The secondary endpoints are the correlation between the CT densitometric analysis and the visual assessment of parenchymal destruction with PBV. Materials and Methods: Patients with moderate – severe PE candidate to Lung Volumetric Reduction (LVR), with available a pre-procedural LS and a contrast-enhanced DECT were retrospectively included. DECT studies were performed with a 3rd generation Dual-Source CT and the PBV was obtained with a 3-material decomposition algorithm. The CT densitometric analysis was performed with a dedicated commercial software (Pulmo3D). The Goddard Score was used for visual assessment. The perfusion LS were performed after the administration of albumin macroaggregates labeled with ^99mTechnetium. The image revision was performed by two radiologists or nuclear medicine physicians blinded, respectively, to LS and DECT data. The statistical analysis was performed with nonparametric tests. Results: Thirty-one patients (18 males, median age 69 y.o., interquartile range 62–71 y.o.) with moderate – severe PE (Median Goddard Score 14/20 and 31% of emphysematous parenchyma at quantitative CT) candidate to LVR were retrospectively included. The median enhancement on PBV was 17 HU. Significant correlation coefficients were demonstrated between lung PBV and LS, poor in apical regions (Rho = 0.1–0.2) and fair (Rho = 0.3–0.5) in middle and lower regions. No significant correlations were recorded between the CT densitometric analysis, the visual score, and the PBV. Conclusions: Lung perfusion with PBV on DECT is feasible in patients with moderate – severe PE candidate to LVR, and has a poor to fair agreement with LPS.

Purpose: To develop a radiomics model for the characterization of renal nodules on CT. Methods: Patients who underwent surgical resection of renal nodules, with preoperative CT (LightSpeed VCT, GE) with contrast agent (Iopamidol 370; 1.5 ml/kg) and availability of a histopathological report, were retrospectively included. Renal lesions were segmented by two radiologists in consensus, in the arterial phase on the axial section with greater diameter. The radiomics analysis was performed with validated software (PyRadiomics on Syngo.via Frontier, Siemens) by applying normalization, resampling (1,1,1), setting bin width (15), and applying padding (2). The extracted features were used for training and testing machine learning models (random forest and support vector machine (end point: clear cell carcinoma, ccRCC). Results: 45 patients were included (mean age 56 years; 34/45 ccRCC). SVM e RF models obtained an AUC of 0.84 and accuracy of 0.87 and 0.80, respectively, in the testing phase. Conclusion: Radiomics analysis is feasible and effective in the characterization of renal lesions on CT.

Pain in the sacroiliac (SI) region is a common clinical manifestation, often caused by diseases involving the SI joints. This is typically due to inflammation or degenerative changes, while infections or cancer are less frequent causes. The SI joint is challenging to image accurately because of its distinct anatomical characteristics. For an accurate diagnosis, conventional radiography often needs to be supplemented with more precise methods such as magnetic resonance imaging (MRI) or computed tomography (CT). Sacroiliitis, a common presenting feature of axial spondyloarthritis (axial SpA), manifests as bone marrow edema, erosions, sclerosis, and joint space narrowing. Septic sacroiliitis and repetitive stress injuries in sports can also cause changes resembling inflammatory sacroiliitis. Other conditions, such as osteitis condensans ilii (OCI), can mimic the radiologic characteristics of sacroiliitis. Inflammatory lesions are diagnosed by concurrent erosions, hyperostosis, and ankylosis. Ligament ossifications or mechanical stress can also result in arthritic disorders. Determining the exact diagnosis can be aided by the distribution of the lesions. Inflammatory lesions can affect any part of the articulation, including the inferior and posterior portions. Mechanical lesions, such as those seen in OCI, often occur in the anterior middle region of the joint. In cases of idiopathic skeletal hyperostosis, ligament ossification is found at the joint borders. This pictorial essay describes common SI joint problems, illustrated with multimodal imaging data. We, also, discuss strategies for selecting the best imaging modalities, along with imaging pitfalls, key points, and approaches for treating patients with suspected inflammatory back pain.

Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects the small joints of the hands and feet, characterized by pain, inflammation, and joint damage. In this context, magnetic resonance imaging (MRI) is useful to identify and monitor joint/tendon inflammation and the evolution of joint damage, playing a key role in treatment response evaluation, in addition to clinical measurements. Various methods to quantify joint inflammation and damage with MRI in RA have been developed, such as RA-MRI Score (RAMRIS), Early RA-MRI Score (ERAMRS), and Simplified RA-MRI Score (SAMIS). RAMRIS, introduced in 2002, offers an objective means to assess inflammation and damage via MRI in RA trials, encompassing findings such as synovitis, bone erosion, and edema/osteitis. Recently, an updated RAMRIS version was developed, which also includes the evaluation of joint space narrowing and tenosynovitis. The RAMRIS-5, which is a condensed RAMSIS version focusing on five hand joints only, has been proven to be a valuable resource for the semi-quantitative evaluation of RA joint damage, both in early and established disease. This narrative literature review will provide an overview of the MRI scoring systems that have been developed for the assessment of joint inflammation and structural damage in RA patients.

Acknowledging the increasing use of whole-body magnetic resonance imaging (WB-MRI) in the oncological setting, we conducted a narrative review focusing on practical aspects of the examination and providing a synthesis of various acquisition protocols described in the literature. Firstly, we addressed the topic of patient preparation, emphasizing methods to enhance examination acceptance. This included strategies for reducing anxiety and patient distress, improving staff–patient interactions, and increasing overall patient comfort. Secondly, we analysed WB-MRI acquisition protocols recommended in existing imaging guidelines, such as MET-RADS-P, MY-RADS, and ONCO-RADS, and provided an overview of acquisition protocols reported in the literature regarding other expanding applications of WB-MRI in oncology, in patients with breast cancer, ovarian cancer, melanoma, colorectal and lung cancer, lymphoma, and cancers of unknown primary. Finally, we suggested possible acquisition parameters for whole-body images across MR systems from three different vendors.