Background/Objectives: This study aims to distinguish radiological differences between primary idiopathic Usual Interstitial Pneumonia (UIP) and secondary UIP patterns Methods: This retrospective study included patients with HRCT findings consistent with a UIP pattern. Final diagnoses were established via multidisciplinary discussion and classified as primary UIP/IPF or secondary UIP, following the 2022 ATS/ERS/JRS/ALAT guidelines. An expert thoracic radiologist (>10 years of experience), blinded to clinical data, reviewed the earliest available HRCT assessing key imaging features: honeycombing (micro-, macro- or exuberant), fibrosis distribution (symmetry, anterior-upper lobe sign, etc.), ground-glass opacities (GGO), dilatation of esophagus. Additionally, AI software AVIEW Build 1.1.46.28-win Coreline (©Coreline Soft Co., Ltd. All Rights Reserved). performed lung texture analysis, quantifying total lung volume and radiological patterns. Statistical analysis was performed to reveal results. Results: Among 53 cases, 31 were classified as IPF and 22 as secondary UIP cases. The expert radiologist achieved a diagnostic sensitivity of 82.9%, specificity of 889%, with a positive predictive value of 93.5%—in distinguishing between primary and secondary UIP. Primary UIP cases exhibited typical hallmark radiological features, including uniform honeycombing with cranio-caudal distribution (90.3%). Reticulations contributed significantly to the fibrotic texture, maintaining a consistent cranio-caudal gradient and axial symmetry (84.8%). Secondary UIP displayed more significant radiological heterogeneity, including patchy fibrosis with irregular GGO distribution (84.5% versus 53.33%); other findings—such as exuberant honeycombing, four corner sign and wedge-shaped fibrosis—were mainly observed in secondary pattern with respective percentages of 31.8%, 9% and 49%. Conclusions: Experienced thoracic radiologists, leveraging hallmark imaging features, play a critical role in improving diagnostic accuracy between primary and secondary UIP patterns.

Background/Objectives: Lipoid pneumonia (LP) is a rare and frequently underdiagnosed pulmonary condition with a broad spectrum of radiological manifestations that can closely mimic infectious, inflammatory, and neoplastic lung diseases. Despite its clinical relevance, no standardized imaging-based diagnostic pathway exists. For this reason, this pictorial narrative review aims to provide a structured, imaging-centred synthesis of LP, to characterise the full spectrum of high-resolution CT (HRCT) and magnetic resonance imaging (MRI) findings, and to propose a pragmatic diagnostic workflow. Methods: A systematic literature search was performed in PubMed, MEDLINE, Embase, and the Cochrane Library from January 1950 to February 2025. Search terms combined “lipoid pneumonia” with imaging-related keywords including “HRCT,” “computed tomography,” “MRI,” and “fat attenuation.” After screening 891 deduplicated records, 60 studies were included in the narrative synthesis. Eight illustrative institutional cases with imaging–pathology correlation were additionally selected to demonstrate key imaging phenotypes. Results: HRCT is the cornerstone modality, demonstrating intralesional fat attenuation (typically −30 to −150 HU) in 40–80% of cases depending on series and disease chronicity. Additional patterns include ground-glass opacity, crazy paving, centrilobular nodules, and mass-like consolidation mimicking malignancy. Fat attenuation is absent in up to 60% of cases when inflammatory exudate or fibrosis masks lipid content. MRI, particularly chemical shift imaging, serves as a problem-solving adjunct in pseudotumoral or densitometrically equivocal presentations. A pragmatic diagnostic workflow is proposed, integrating HRCT findings, exposure history, fat-sensitive MRI in selected cases, BAL cytology, and histopathological confirmation when required. Conclusions: A pattern-based radiological approach, anchored on HRCT and integrated with clinical exposure history, BAL cytology, and selective use of fat-sensitive MRI, enables accurate diagnosis of LP in most cases and can prevent unnecessary invasive procedures including surgical resection performed under suspicion of malignancy.

Background/Objectives: To provide an updated overview of adrenal incidentaloma evaluation, characterize the principal imaging mimics across pediatric and adult populations, and propose a clinically actionable approach integrating endocrine assessment with conventional and advanced imaging. Methods: A narrative review of recent evidence and major international recommendations was performed, focusing on epidemiology, endocrine work-up, non-contrast computed tomography (CT), washout CT, magnetic resonance imaging (MRI), and dual-energy CT (DECT). Results: The recent literature has questioned a uniformly washout-centered approach and has raised interest in more selective, risk-adapted strategies based on clinical context, endocrine profile, and lesion phenotype; however, these proposals should be distinguished from established guideline recommendations. Non-contrast CT remains the cornerstone of first-line characterization, particularly for identifying lipid-rich adenomas. However, the routine use of adrenal washout CT is increasingly questioned, especially in true incidentalomas, because many benign adenomas are lipid-poor and several non-adenomatous lesions may show overlapping washout behavior. In this setting, MRI maintains a key problem-solving role, mainly through chemical shift imaging. DECT represents the most promising technical advance, enabling multiparametric characterization through virtual non-contrast images, iodine quantification, and material decomposition, with the potential to improve the assessment of indeterminate lesions while reducing unnecessary multiphasic imaging and radiation exposure. Conclusions: Current management should remain grounded in established guideline recommendations. MRI may be selectively used as a problem-solving modality, while DECT and emerging strategies require further validation before they can be considered standards of care.