Pasquale Frisina

Preoperative differentiation between pathological T3 (pT3) disease, representing locally advanced tumor confined to the larynx, and pathological T4 (pT4) disease, characterized by extension through the laryngeal cartilage and/or beyond the larynx, remains challenging in laryngeal squamous cell carcinoma (LSCC). This single-center retrospective study investigated the association between primary-tumor apparent diffusion coefficient (ADC) and pathological T stage and explored whether ADC could complement MRI-based morphological T classification. Twenty-eight patients with surgically confirmed, moderately differentiated LSCC were included (13 pT3 and 15 pT4). Mean ADC values were compared using the Mann–Whitney U test, and discrimination of pT4 disease was evaluated using receiver operating characteristic (ROC) analysis. Leave-one-out cross-validation was performed for internal validation of the ADC threshold and exploratory combined MRI–ADC rule. Mean ADC was significantly lower in pT4 than in pT3 tumors (760 ± 209 versus 1150 ± 188 × 10⁻⁶ mm²/s; p < 0.001). ADC achieved an area under the ROC curve of 0.913 (95% confidence interval, 0.769–1.000). The apparent combined MRI–ADC rule yielded a sensitivity of 93.3%, specificity of 100%, and overall accuracy of 96.4%. Under leave-one-out cross-validation, the corresponding estimates were 93.3%, 92.3%, and 92.9%, respectively. No statistically significant association between primary-tumor ADC and pathological nodal status was detected. Primary-tumor ADC was associated with pathological T stage and showed potential complementary value to morphological MRI; however, the threshold and combined rule remain hypothesis-generating and require independent external validation.

Background: Isolated hypoglossal nerve palsy is a rare neurological condition with a broad differential diagnosis. Although neoplastic disorders are the most common cause, internal carotid artery dissection (ICAD) is an uncommon but clinically important and potentially reversible vascular etiology that is frequently underrecognized. This systematic review synthesized the available evidence regarding the clinical presentation, imaging findings, pathophysiological mechanisms, treatment, and outcomes of isolated hypoglossal nerve palsy associated with ICAD through a standardized patient-level descriptive analysis. Methods: This systematic review was conducted according to the PRISMA 2020 guidelines and prospectively registered in PROSPERO (CRD420261364863). PubMed, Scopus, Web of Science, and the Cochrane Library were searched from inception to April 2026. Manual reference screening and forward citation tracking were also performed. Studies reporting original, patient-level data on isolated hypoglossal nerve palsy associated with ICAD were eligible. Clinical, imaging, treatment, and outcome data were extracted and synthesized descriptively. In hybrid publications combining original case reporting with a narrative literature review, only eligible, original patient data were included in the quantitative synthesis, whereas the narrative review components were used for citation tracking and contextual comparison. Results: A total of 26 standalone primary publications were included, comprising 23 case reports and 3 case series. Two additional hybrid publications each contributed one eligible patient. One hybrid publication contained an original case-report component, whereas the other reported two original cases and was therefore considered to contain a case-series component, although only one of its patients fulfilled the eligibility criteria. Overall, the 28 publications contributed 32 eligible patients to the patient-level quantitative synthesis. The narrative review components of the two hybrid publications were used solely for citation tracking and contextual comparison. Patients were predominantly male (28/32, 87.5%), with a median age of 47 years. Tongue deviation (28/28, 100%) and tongue weakness (30/30, 100%) were the hallmark clinical features, followed by dysarthria (26/26, 100%) and dysphagia (18/22, 81.8%). All patients presented with isolated hypoglossal nerve palsy at presentation, without Horner syndrome or additional lower cranial nerve involvement. MRI was the most frequently reported imaging modality (29/32, 90.6%), whereas CTA was commonly used to characterize luminal abnormalities. Intramural hematoma (25/26, 96.2%), luminal stenosis (23/26, 88.5%), and external arterial enlargement (22/24, 91.7%) were the most consistent neuroradiological findings. Conservative medical management predominated (31/32, 96.9%). The available evidence was more consistent with a compressive mechanism related to subadventitial arterial wall expansion, although an ischaemic contribution involving the vasa nervorum could not be excluded. A favourable clinical outcome (complete recovery or marked improvement) was observed in 21/30 patients (70.0%). Overall, improvement of any degree, including partial recovery, was documented in 25/30 evaluable patients (83.3%). Outcome data should be interpreted cautiously because they derive predominantly from individual case reports. Conclusions: This systematic review provides an updated standardized synthesis of the available case-level evidence on isolated hypoglossal nerve palsy associated with ICAD. CTA and MRI/MRA provide complementary diagnostic information and may facilitate timely diagnosis when interpreted according to the clinical context. The available evidence identifies recurrent clinico-radiological patterns that may assist clinicians in recognizing this uncommon presentation while highlighting the need for prospective multicentre studies to better inform future diagnostic and therapeutic strategies.

Chronic rhinosinusitis (CRS) is a heterogeneous inflammatory disease of the paranasal sinuses. Imaging, particularly high-resolution computed tomography (HRCT), cone-beam computed tomography (CBCT) in selected scenarios, and magnetic resonance imaging (MRI), supports diagnosis, treatment planning, and follow-up by combining anatomic mapping, disease extent, remodeling, and complication assessment. This systematic review synthesizes evidence on endotype-aware imaging in CRS and proposes a structured reporting model grounded in quantitative, management-oriented criteria. Methods: Following PRISMA 2020, the review protocol was registered in PROSPERO 2026 (CRD420261356154); we searched MEDLINE, Scopus, Embase, and Cochrane (January 2000–September 2025). Ninety-six studies were included in qualitative synthesis; 38 studies reported quantitative outcomes summarized descriptively. We evaluated HRCT/CBCT/MRI protocols, radiologic indices (Lund–Mackay, GOSS), diagnostic performance in relevant clinical domains, imaging–endotype correlations, and radiomics/artificial intelligence (AI) applications. Key Results: HRCT served as the reference modality for anatomic assessment and preoperative planning in most cohorts; CBCT was selectively used for bony evaluation with lower radiation exposure than conventional CT, albeit without reliable soft-tissue characterization. MRI was mainly applied for soft-tissue characterization, unilateral disease, and suspected complications. Radiomics/AI studies reported areas under the receiver operating characteristic curve (AUC) ranging from 0.79 to 0.93 for distinguishing type 2-high from non-type 2-high CRS, with external validation reported in a minority of studies. Conclusions: Endotype-aware imaging can support more precise, quantitative CRS management when interpreted together with clinical, endoscopic, and biomarker data. Structured reporting and radiomics may contribute to standardization, but require prospective validation and transparent reporting to enable clinical translation within multidisciplinary care pathways aligned with international guidance.

Background/Objectives: The therapeutic effectiveness of chronic rhinosinusitis with nasal polyposis (CRSwNP) depends on an accurate diagnosis that identifies disease characteristics, evaluates sinus patency, and detects paranasal sinus obliteration. This study aims to assess a novel artificial intelligence (AI) system integrated with radiomic analysis for the radiological evaluation of CRSwNP, developing a reliable and predictive clinical-radiological scoring system. Methods: This study retrospectively evaluates CT scans of patients with CRSwNP. Image analysis was performed using Radiomica LifeX (Local Image Features Extraction) version 7.5. The extracted densitometric volumes were compared to the Lund-Mackay Score (LMS) to develop a novel scoring system (P-ABCD score) and assess its radiomic predictive capability. Results: Twenty patients with CRSwNP undergoing Dupilumab therapy participated in this study. The P-ABCD score, derived from sinus CT imaging data, served as a valuable objective measure of clinical improvement following CRSwNP treatment. Conclusions: Advanced radiomic imaging techniques of the sinus cavity provide precise volumetric data combined with texture analysis. These techniques offer high sensitivity by accurately quantifying the true extent of inflammatory involvement in the paranasal sinuses, enabling effective disease stratification.

Background/Objectives. Radiomics is an emerging imaging-based tool that enhances lesion characterization beyond conventional diagnostic approaches. Its potential in evaluating osteolytic lesions of the jaws lies in improving discrimination between benign and malignant entities. This study aimed at developing a predictive model to identify radiomic features capable of distinguishing benign from malignant lesions. Methods. Subjects with preoperative CT or CBCT and histopathological confirmation were included. A pilot cohort was used for feature selection via LASSO regression, which ranked features by frequency and absolute coefficient. Malignancy was coded as class 1, benign lesions as class 0. Positive coefficients indicated association with malignancy, while negative coefficients with benign characteristics. The most stable features were initially trained on the pilot cohort and then validated on an independent test set through machine learning classifiers as LASSO, support vector machine, artificial neural network, random forest e XGboost. Results. The sample comprised 69 subjects (pilot cohort = 57, test cohort = 12). The predictors selected from LASSO regression were: DifferenceEntropy_GLCM (−0.768), CenterOfMassShift_MORPHOLOGICAL (−1.390), INTENSITY-HISTOGRAM_MaximumHistogramGradientGrayLevel (1.139), GLRLM_ShortRunLowGrayLevelEmphasis (−0.742), and Maximum3DDiameter_MORPHOLOGICAL (0.932). As for model performance on test, LASSO achieved the best performance (AUC 0.83), with perfect specificity and sensitivity of 0.71. SVM showed good AUC but poor sensitivity, while random forest and XGBoost performed poorly (AUC 0.57 and 0.37, respectively). Conclusions. The LASSO model proved to be a transparent and robust classifier, suitable for both feature selection and external validation. The selected features demonstrated strong discriminative ability, supporting the potential of radiomics in improving lesion assessment and guiding clinical decision-making.

Radiomics may aid the noninvasive characterization of adrenal incidentalomas; however, reproducibility is limited by methodological heterogeneity. In this retrospective, single-center, exploratory study, we tested whether radiomic features from baseline non-enhanced computed tomography (NECT) discriminate benign from malignant/metastatic adrenal lesions and contextualized results with a PRISMA 2020 systematic review (PubMed/Scopus 2017–2025; PROSPERO CRD420251276627). Thirty-three patients (36 lesions: 12 lipid-rich adenomas, 9 lipid-poor adenomas, 6 pheochromocytomas, 7 malignant/metastatic lesions, 2 myelolipomas) were included; myelolipomas were excluded from primary comparisons. Two abdominal radiologists performed consensus 3D segmentation on NECT. Using LIFEx (v7.8.0) and IBSI definitions, 42 features were extracted and z-score standardized. LASSO selected four heterogeneity descriptors: First-order Entropy, gray-level co-occurrence matrix (GLCM) entropy, gray-level size zone matrix (GLSZM) non-uniformity, and neighboring gray tone difference matrix (NGTDM) busyness. Heterogeneity increased from lipid-rich adenomas to pheochromocytomas and malignant/metastatic lesions (Kruskal–Wallis, all p < 0.001. Pairwise separability, measured using the Vargha–Delaney A index (VDA) as a rank-based measure of separability, was highest for lipid-rich adenomas versus malignant/metastatic lesions (0.93), intermediate for lipid-poor adenomas versus pheochromocytomas (0.73), and lowest for lipid-rich versus lipid-poor adenomas (0.64). The review identified 18 eligible CT radiomics studies that consistently reported higher entropy/non-uniformity in pheochromocytomas and malignant lesions than in lipid-rich adenomas. Global heterogeneity metrics on NECT may complement conventional CT criteria in indeterminate lesions; external validation with robust reference standards is needed in larger, multicenter cohorts with harmonization.

Primary squamous cell carcinoma (SCC) of the temporal bone is an extremely rare malignancy, comprising only 0.2% of head and neck cancers. There is currently no universally accepted staging system for these tumors. This study evaluates the utility of the Pittsburgh staging system for temporal bone SCC, examines prognostic factors, and reports clinical outcomes. A retrospective review was conducted on a small cohort of 15 patients diagnosed with temporal bone SCC between 2020 and 2023. Imaging included high-resolution CT and MRI (T1W, T2W, and DWI). Staging accuracy was assessed, and Cohen’s Kappa coefficient was used to compare radiological and pathological staging. Results showed a 73% accuracy in preoperative radiological staging, with higher agreement for T3/T4 tumors (86%) compared to T1/T2 (63%). MRI provided additional information, revealing dural enhancement in two patients and parotid involvement in one. Survival analysis indicated 100% survival in T1/T2 patients, 25% in T3, and 0% in T4, supporting the prognostic value of the Pittsburgh system. While limited by the small sample size, the study confirms that the Pittsburgh staging system offers a reliable approach to stratifying patients with temporal bone SCC and underscores the importance of combined CT and MRI for accurate staging and treatment planning.

A cancer of unknown primary site of origin (CUP) is a definition for neoplasms whose first—and unique—presentation is of a neck mass. The urgent need to identify and characterize the primary tumor imposes a precise, prompt, and individualized diagnostic pathway to best guide the treatment. For the aim of this work, 5323 patients were identified from case series ranging from the year 2016 to 2023, selecting, from the 605 total cases in 2019, the clinical cases that met the characteristics of a CUP, which concerned 28 individuals. The 5-year follow-up of the 28 patients examined in 2019 revealed that, in more than half of the patients, the site of onset of primary tumors could not be revealed. Of these, 9 patients were classified as being affected by a CUP, and 9 patients died of carcinoma of uncertain origin; in the remaining 10 patients, the investigations were able to reveal the primary tumor. The lack of identification of a primary tumor prevents the patient from being treated with a curative intent. The identification of the primary tumor is achieved through a pathway of investigations that involves several approaches from a multidisciplinary perspective. The contribution of imaging and its increasingly important role, along with the implementation of its techniques and technologies, help make certain diagnoses in less time.