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Large language models (LLMs), especially those based on the Generative Pre-trained Transformer (GPT) architecture, have becomewidely popularand have beenappliedinvarious fields due to their ability to provide written responses to a diverse range of queries swiftly and accurately. LLMs have demonstrated a transformative and potentially revolutionary capacity in multiple medical subfields, including radiology.1 A promising utilisation of these models is to streamline free-text radiology reports into concise or structured formats, 2,3 thereby enhancing accessibility and organisation of extensive information, potentially facilitating communication among medical professionals. Furthermore, incorporating automated radiological structured reporting systems could enhance clinical procedures, standardising language across institutions, promoting effective communication among healthcare experts, and improving the efficiency of data extraction for research purposes. The present authors share their preliminary results with three LLMs evaluating their accuracy in extracting emergency data recognition within a human-generated emergency radiology report.

Pulmonary hypertension (PH) is a pathophysiological disorder, defined by a mean pulmonary arterial pressure (mPAP) > 20 mmHg at rest, as assessed by right heart catheterization (RHC). PH is not a specific disease, as it may be observed in multiple clinical conditions and may complicate a variety of thoracic diseases. Conditions associated with the risk of developing PH are categorized into five different groups, according to similar clinical presentations, pathological findings, hemodynamic characteristics, and treatment strategy. Most chronic lung diseases that may be complicated by PH belong to group 3 (interstitial lung diseases, chronic obstructive pulmonary disease, combined pulmonary fibrosis, and emphysema) and are associated with the lowest overall survival among all groups. However, some of the chronic pulmonary diseases may develop PH with unclear/multifactorial mechanisms and are included in group 5 PH (sarcoidosis, pulmonary Langerhans' cell histiocytosis, and neurofibromatosis type 1). This paper focuses on PH associated with chronic lung diseases, in which radiological imaging-particularly computed tomography (CT)-plays a crucial role in diagnosis and classification. Radiologists should become familiar with the hemodynamical, physiological, and radiological aspects of PH and chronic lung diseases in patients at risk of developing PH, whose prognosis and treatment depend on the underlying disease.

Elevated inflammatory markers are associated with severe coronavirus disease 2019 (COVID-19), and some patients benefit from Interleukin (IL)-6 pathway inhibitors. Different chest computed tomography (CT) scoring systems have shown a prognostic value in COVID-19, but not specifically in anti-IL-6-treated patients at high risk of respiratory failure. We aimed to explore the relationship between baseline CT findings and inflammatory conditions and to evaluate the prognostic value of chest CT scores and laboratory findings in COVID-19 patients specifically treated with anti-IL-6. Baseline CT lung involvement was assessed in 51 hospitalized COVID-19 patients naive to glucocorticoids and other immunosuppressants using four CT scoring systems. CT data were correlated with systemic inflammation and 30-day prognosis after anti-IL-6 treatment. All the considered CT scores showed a negative correlation with pulmonary function and a positive one with C-reactive protein (CRP), IL-6, IL-8, and Tumor Necrosis Factor & alpha; (TNF-& alpha;) serum levels. All the performed scores were prognostic factors, but the disease extension assessed by the six-lung-zone CT score (S24) was the only independently associated with intensive care unit (ICU) admission (p = 0.04). In conclusion, CT involvement correlates with laboratory inflammation markers and is an independent prognostic factor in COVID-19 patients representing a further tool to implement prognostic stratification in hospitalized patients.

Sarcoidosis is a systemic granulomatous disease affecting various organs, and the lungs are the most commonly involved. According to guidelines, diagnosis relies on a consistent clinical picture, histological demonstration of non-caseating granulomas, and exclusion of other diseases with similar histological or clinical picture. Nevertheless, chest imaging plays an important role in both diagnostic assessment, allowing to avoid biopsy in some situations, and prognostic evaluation. Despite the demonstrated lower sensitivity of chest X-ray (CXR) in the evaluation of chest findings compared to high-resolution computed tomography (HRCT), CXR still retains a pivotal role in both diagnostic and prognostic assessment in sarcoidosis. Moreover, despite the huge progress made in the field of radiation dose reduction, chest magnetic resonance (MR), and quantitative imaging, very little research has focused on their application in sarcoidosis. In this review, we aim to describe the latest novelties in diagnostic and prognostic assessment of thoracic sarcoidosis and to identify the fields of research that require investigation.

Purpose: The aim of the study was to investigate differences in non-small cell lung cancer (NSCLC) intra-thoracic staging by using contrast-enhanced computed tomography (ce-CT) at the arterial phase (AP), at the arterial plus delayed phases (AP + DEP), and at the delayed phase (DEP), and to evaluate their potential impact on disease staging. Materials and methods: Two chest radiologists with different level of expertise and a general radiologist independently reviewed the chest CT exams of 150 patients with NSCLC; CT scans were performed 40 s (AP) and 60 s (DEP) after contrast material injection. Image assessment included three reading sessions: session A (AP), session B (AP + DEP) and session C (DEP). CT descriptors for the primary tumour (T), regional nodal involvement (N), and intra-thoracic metastases (M) were evaluated in each reading session. Readers had to assign a confidence level (CL) for the assessment of each descriptor and define the TNM stage. Friedman and Cochran Q test was used to compare the assessments of the 3 reading sessions; inter-reader agreement was determined (Intraclass Correlation Coefficient – ICC). Results: The CL was significantly higher in sessions B and C than in session A for all descriptors, with the exception of pulmonary arterial invasion. Primary tumour inner necrosis and regional nodal involvement were detected in a significantly higher number of cases in sessions B and C as compared to session A (p ≤ 0.001). DEP significantly changed N stage determination (p < 0.001), particularly N3, and excluded chest wall invasion (p = 0.05) and venous invasion (p = 0.001). The agreement was good among the 3 readers (ICC = 0.761) and excellent between the 2 chest radiologists (ICC ≥ 0.940), regardless of the contrast phase. Conclusions: The 60-second DEP ce-CT for staging NSCLC significantly increased the readers’ CL, changed the N stage determination, and helped excluding chest wall invasion and venous invasion.

The authors regret that Table 1 appeared incorrectly in the published version and should appear as follows. The authors would like to apologise for any inconvenience caused.

Due to its pandemic diffusion, SARS- CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection represents a global threat. Despite a multiorgan involvement has been described, pneumonia is the most common manifestation of COVID-19 (Coronavirus disease 2019) and it is associated with a high morbidity and a considerable mortality. Especially in the areas with high disease burden, chest imaging plays a crucial role to speed up the diagnostic process and to aid the patient management. The purpose of this comprehensive review is to understand the diagnostic capabilities and limitations of chest X-ray (CXR) and high-resolution computed tomography (HRCT) in defining the common imaging features of COVID-19 pneumonia and correlating them with the underlying pathogenic mechanisms. The evolution of lung abnormalities over time, the uncommon findings, the possible complications, and the main differential diagnosis occurring in the pandemic phase of SARS-CoV-2 infection are also discussed.

Due to its pandemic diffusion, SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection represents a global threat. Despite a multiorgan involvement has been described, pneumonia is the most common manifestation of COVID-19 (Coronavirus disease 2019) and it is associated with a high morbidity and a considerable mortality.Especially in the areas with high disease burden, chest imaging plays a crucial role to speed up the diagnostic process and to aid the patient management.The purpose of this comprehensive review is to understand the diagnostic capabilities and limitations of chest X-ray (CXR) and high-resolution computed tomography (HRCT) in defining the common imaging features of COVID-19 pneumonia and correlating them with the underlying pathogenic mechanisms. The evolution of lung abnormalities over time, the uncommon findings, the possible complications, and the main differential diagnosis occurring in the pandemic phase of SARS-CoV-2 infection are also discussed.

OBJECTIVE: To assess the diagnostic accuracy of delayed enhanced phase in addition to portal enhanced phase in MDCT imaging for depicting peritoneal carcinomatosis (PC) implants in patients with ovarian cancer. PATIENTS AND METHODS: We retrospectively reviewed double-phase, portal enhanced phase (PEP) and delayed enhanced phase (DEP), MDCT-examinations of 40 patients with clinical suspicion of recurrent PC from histopathologically-proven ovarian cancer, previously treated with both cytoreductive surgery and adjuvant/neoadjuvant chemotherapy. Image assessment was performed by three independent blinded readers (2 experienced and 1 less-experienced radiologists) in 3 different reading sessions: PEP (set A), DEP (set B), and PVP + DEP (set C). All CT-images were qualitatively assessed on the basis of the location of the lesion (based on Sugarbaker scheme), presence (indicating a confidence level for the diagnosis of PC), size and pattern. Reference standard both for detection and exclusion of PC was the evaluation of double-phase MDCT exams performed by two experienced readers in consensus, knowing clinical and laboratoristic parameters as well as previous and subsequent imaging (follow-up minimum of 12 months). Sensitivity, specificity, PPV, NPV and diagnostic accuracy of each reader for each reading session were calculated and compared. A subgroup analysis based on lesion pattern was also performed. RESULTS: On a total of 507 abdominal-pelvic sites evaluated, PC was found in 182 regions (35.9%). When considering experienced radiologists, no statistically significant differences (p>0.05) were found between the different sets of images. The analysis by less-experienced radiologist showed lower statistical results, which significantly improved when both PEP and DEP were evaluated. In the subgroup analysis, DEP showed significantly higher statistical results in the case of micronodular patterns. CONCLUSIONS: Our results indicate that the CT-acquisition protocol i

A 77-year-old man was referred to our center for a suspected neuroendocrine neoplasm in the pancreatic tail, incidentally detected at CT. Ga DOTANOC PET/CT showed intense tracer uptake in the pancreatic lesion. At MRI, the lesion was similar to the spleen on all sequences, suggesting the presence of intrapancreatic accessory spleen. A Tc-colloid SPECT/CT scan performed to differentiate spleen tissue from neuroendocrine tumor revealed a focal uptake in the pancreatic lesion, thus confirming the presence of ectopic spleen and avoiding unnecessary surgery.

We report an unusual case of malignant pseudothyroiditis (MPT) occurred in a 35-year-old female patient presenting with symptoms and signs of thyroiditis. Fine-needle aspiration biopsy of the thyroid demonstrated the presence of a MPT induced by a metastatic extrathyroidal carcinoma. F-FDG-PET/CT showed increased radiopharmaceutical uptake in the thyroid, in multiple cervical and mediastinal lymph nodes, and in a right pulmonary nodule. Histological examination demonstrated the presence of a metastatic non-small cell lung cancer (NSCLC). In this unusual case of MPT F-FDG-PET/CT has been useful in staging the disease and in detecting the primary tumor site.

Three-dimensional (3D) conformal radiation therapy (CRT) and stereotactic body radiation therapy (SBRT) are designed to deliver the maximum therapeutic radiation dose to the tumor, allowing improved local disease control, while minimizing irradiation of surrounding normal structures. The complex configuration of the multiple beams that deliver the radiation dose to the tumor in 3D CRT and SBRT produces patterns of lung injury that differ in location and extent from those seen after conventional radiation therapy. Radiation-induced changes in lung tissue after 3D CRT and SBRT occur within the radiation portals. The imaging appearance of irradiated tissues varies according to the time elapsed after the completion of therapy, with acute-phase changes of radiation pneumonitis represented by ground-glass opacities and consolidation and with late-phase changes of radiation fibrosis manifesting as volume loss, consolidation, and traction bronchiectasis. Knowledge of treatment timelines and radiation field locations, as well as familiarity with the full spectrum of possible radiation-induced lung injuries after 3D CRT and SBRT, is important to correctly interpret the abnormalities that may be seen at computed tomography (CT). Differential diagnoses in this context might include infections, lymphangitic carcinomatosis, local recurrence of malignancy, and radiation-induced tumors. The integration of morphologic information obtained at CT with metabolic information obtained at positron emission tomography is helpful in distinguishing radiation-induced parenchymal abnormalities from residual, recurrent, and new cancers. Thus, multimodality follow-up imaging may lead to substantial changes in disease management.