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Background Nurse scientists who conduct intervention research in a variety of clinical settings find themselves facing numerous challenges posed by today's changing and sometimes complex health care environment. Maintaining study validity thus becomes a major focus of interventional research, but existing literature does not fully address challenges to study validity nor offer potential solutions. Objectives The purposes of this paper are to 1) discuss methodologic challenges to maintaining study validity of intervention research that is conducted in a changing clinical environment, and 2) share strategies for maximizing study validity. Methods A recently completed intervention study is used as an example to discuss two specific areas that affected study validity, provide examples of selected threats to validity, and outline strategies used to minimize these threats. Results Careful definition of goals, thoughtful decision making, and implementation of specific strategies to maintain study validity helped increased the rigor of the research. Conclusions Investigators conducting intervention research in changing clinical settings can reduce threats to study validity and increase design rigor by considering clinical realities (e.g., clinician-researcher role conflict) when making methodologic decisions, becoming familiar with the setting, and involving clinicians in the research.

Purpose: Intrahepatic cholangiocarcinoma (ICC) has a poor prognosis, when unresectable; therefore, intra-arterial therapies (IAT) such as trans-arterial chemoembolization (TACE) and trans-arterial radioembolization (TARE) have been employed. With the present systematic review and meta-analysis, we aimed to analyse published studies to understand if one IAT can be superior to the alternative. Materials and methods: A systematic search of PubMed and Web of Science databases was performed for articles published until 1 March 2020 relevant to IAT for ICC. Overall survival was the primary end point. Occurrence of clinical adverse events and tumour overall response were secondary outcome measures. Results: A total of 31 articles (of 793, n.1695 patients) were selected for data extraction, 13 were on TACE (906 patients) and 18 were on TARE (789 patients). Clinical and tumour characteristics showed moderate heterogeneity between the two groups. The median survival after TACE was 14.2months while after TARE was 13.5months (95%C.I.: 11.4–16.1). The survival difference was small (d = 0.112) at 1year and negligible at 2years (d = 0.028) and at 3years (d = 0.049). The radiological objective response after TACE was 20.6% and after TARE was 19.3% (d = 0.032). Clinical adverse events occurred in 58.5% after TACE, more frequently than after TARE (43.0%, d = 0.314). Conclusion: In conclusion, IATs are promising treatments for improving outcomes for patients with unresectable ICC. To date, TACE and TARE provide similar good outcomes, except for adverse events. Therefore, the decision about techniques is determined by ability to utilize these resources and patient specific factors (liver function or lesion dimension).

Liver cirrhosis is a leading cause of death worldwide, with 1-year mortality rates of up to 57% in decompensated patients. Hepatocellular carcinoma (HCC) is the most common primary tumor in cirrhotic livers and the second leading cause of cancer-related mortality worldwide. Annually, up to 8% of patients with cirrhosis develop HCC. The diagnosis of HCC rarely requires histological confirmation: in fact, according to the most recent guidelines, the imaging features of HCC are almost always sufficient for a certain diagnosis. Thus, the role of the radiologist is pivotal because the accurate detection and characterization of focal liver lesions in patients with cirrhosis are essential in improving clinical outcomes. Despite recent technical innovations in liver imaging, several issues remain for radiologists regarding the differentiation of HCC from other hepatic lesions, particularly benign lesions and pseudolesions. It is important to avoid misdiagnosis of benign liver lesions as HCC (false-positive cases) because this diagnostic misinterpretation may lead to ineligibility of a patient for potentially curative treatments or inappropriate assignment of high priority scores to patients on waiting lists for liver transplantation. This review presents a pocket guide that could be useful for the radiologist in the diagnosis of benign lesions and pseudolesions in cirrhotic livers, highlighting the imaging features that help in making the correct diagnosis of macroregenerative nodules; siderotic nodules; arterioportal shunts; hemangiomas, including fast-filling hemangiomas, hemangiomas with pseudowashout, and sclerosed hemangiomas; confluent fibrosis; pseudomasses in chronic portal vein thrombosis; and focal fatty changes.

OBJECTIVES: The aim of this study is to evaluate the computed tomography texture parameters in predicting grading. METHODS: This study analyzed 68 nonfunctioning pancreatic neuroendocrine neoplasms (Pan-NENs). Clinical and radiological parameters were studied. Four model models were built, including clinical and standard radiologic parameters (model 1), first- and second-order computed tomography features (models 2 and 3), all parameters (model 4). The diagnostic accuracy was reported as area under the curve. A score was computed using the best model and validated to predict progression-free survival. RESULTS: The size of tumors and heterogeneous enhancement were related to the risk of "non-G1" Pan-NENs (coefficients 0.471, P = 0.012, and 1.508, P = 0.027). Four second-order parameters were significantly related to the presence of "non-G1" Pan-NENs: the gray level co-occurrence matrix correlation (6.771; P = 0.011), gray level co-occurrence matrix contrast variance (0.349; P = 0.009), the neighborhood gray-level different matrix contrast (-63.129; P = 0.001), and the gray-level zone length matrix with the low gray-level zone emphasis (-0.151; P = 0.049). Model 4 was the best, with a higher area under the curve (0.912; P = 0.005). The score obtained predicted the progression-free survival. CONCLUSIONS: Computed tomography radiomics signature can be useful in preoperative workup.

Objectives Pheochromocytomas are rare tumors which can present with heterogeneous secretion profiles, clinical manifestations, and radiologic appearance. Under a histopathological point of view, they can be characterized as more or less aggressive with the Pheochromocytoma of the Adrenal gland Scaled Score (PASS) and the Grading system for Adrenal Pheochromocytoma and Paraganglioma (GAPP) score. The aim of this study is to analyze the texture analysis characteristics of pheochromocytoma and identify whether the texture analysis can yield information aiding in the diagnosis and the characterization of those tumors. Methods Radiological, biochemical, and histopathological data regarding 30 consecutive patients with histologically confirmed pheochromocytoma were analyzed. Images obtained in the unenhanced, late arterial, venous, and delayed phases were used for the texture analysis. Results Urinary epinephrine and metanephrine levels showed a significant correlation (R2 = 0.946; R2 = 699) in the multivariate linear model with texture features, as well as Ki-67 (R2 = 0.397), PASS score (R2 = 0.182), GAPP score (R2 = 0.705), and cellularity showed a significant correlation (R2 = 0.389). The cluster analysis based on radiomic features resulted in 2 clusters, with significative differences in terms of systolic and diastolic blood pressure values at the time of diagnosis (p = 0.025), GAPP score (4 vs 6, p = 0.05), histological pattern (1–2, p = 0.039), and comedonecrosis (0% vs 50%, p = 0.013). Conclusion In conclusion, our study provides the proof of concept for the use of texture analysis on contrast-enhanced CT images as a noninvasive, quantitative tool for helping in the characterization of the clinical, biochemical, and histopathological features of pheochromocytoma.

Background: Microvascular invasion (MVI) is a necessary step in the metastatic evolution of hepatocellular carcinoma liver tumors. Predicting the onset of MVI in the initial stages of the tumors could improve patient survival and the quality of life. In this study, the possibility of using radiomic features to predict the presence/absence of MVI was evaluated. Methods: Multiphase contrast-enhanced computed tomography (CECT) images were collected from 49 patients, and the radiomic features were extracted from the tumor region and the zone of transition. The most-relevant features were selected; the dataset was balanced, and the presence/absence of MVI was classified. The dataset was split into training and test sets in three ways using cross-validation: the first applied feature selection and dataset balancing outside cross-validation; the second applied dataset balancing outside and feature selection inside; the third applied the entire pipeline inside the cross-validation procedure. Results: The features from the tumor areas on CECT showed both the portal and the arterial phases to be the most predictive. The three pipelines showed receiver operating characteristic area under the curve (ROC AUC) scores of 0.89, 0.84, and 0.61, respectively. Conclusions: The results obtained confirmed the efficiency of multiphase CECT and the ZOT in detecting MVI. The results showed a significant difference in the performance of the three pipelines, highlighting that a non-rigorous pipeline design could lead to model performance and generalization capabilities that are too optimistic.

Background: Transarterial Radioembolisation (TARE) requires multidisciplinary experience and skill to be effective. The aim of this study was to identify determinants of survival in patients with hepatocellular carcinoma (HCC), focusing on learning curves, technical advancements, patient selection and subsequent therapies. Methods: From 2005 to 2020, 253 patients were treated. TARE results achieved in an initial period (2005–2011) were compared to those obtained in a more recent period (2012–2020). To isolate the effect of the treatment period, differences between the two periods were balanced using “entropy balance”. Results: Of the 253 patients, 68 were treated before 2012 and 185 after 2012. In the second period, patients had an Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) score of 1 (p = 0.025) less frequently, less liver involvement (p = 0.006) and a lesser degree of vascular invasion (p = 0.019). The median overall survival (OS) of patients treated before 2012 was 11.2 months and that of patients treated beginning in 2012 was 25.7 months. After reweighting to isolate the effect of the treatment period, the median OS of patients before 2012 increased to 16 months. Conclusions: Better patient selection, refinement of technique and adoption of personalised dosimetry improved survival after TARE. Conversely, sorafenib after TARE did not impact life expectancy.

Background: COVID assessment can be performed using the recently developed individual risk score (prediction of severe respiratory failure in hospitalized patients with SARS-COV2 infection, PREDI-CO score) based on High Resolution Computed Tomography. In this study, we evaluated the possibility of automatizing this estimation using semi-supervised AI-based Radiomics, leveraging the possibility of performing non-supervised segmentation of ground-glass areas. Methods: We collected 92 from patients treated in the IRCCS Sant’Orsola-Malpighi Policlinic and public databases, each lung was segmented using a pre-trained AI method, ground-glass opacity was identified using a novel, non-supervised approach, radiomic measurements were collected and used to predict clinically relevant scores, with particular focus on mortality and the PREDI-CO score. We compared the prediction obtained through different machine learning approaches. Results: All the methods obtained a well-balanced accuracy (70%) on the PREDI-CO score but did not obtain satisfying results on other clinical characteristics due to unbalance between the classes. Conclusions: Semi-supervised segmentation, implemented using a combination of non-supervised segmentation and feature extraction, seems to be a viable approach for patient stratification and could be leveraged to train more complex models. This would be useful in a high-demand situation similar to the current pandemic to support gold-standard segmentation for AI training.

Sarcopenia is gaining attention as a negative prognostic factor in different fields of medicine, including chronic liver failure. However, the assessment of sarcopenia in patients with liver diseases is often neglected due to unawareness of reliable tools and methods and thus is limited to research studies. Cross-sectional imaging is a diffuse diagnostic tool and is commonly performed in patients with chronic liver failure. The last advancements in radiology image analysis using dedicated software allow an easy and standardized method to assess skeletal muscle volume. Several measures can be obtained from cross-sectional imaging analysis to evaluate sarcopenia in patients affected by chronic liver disease. We aimed to review the recent advances in imaging-based sarcopenia assessment, in particular in patients with chronic liver diseases. As a result, we found that the skeletal muscle index (SMI) seems to be a reliable method to assess sarcopenia in cirrhotic patients. Even if further studies are needed to validate proper cut-offs for each clinical endpoint, physicians are invited to consider the assessment of sarcopenia in the work-up of patients with chronic liver disease.

Background: Bile leak (BL) after hepato-pancreato-biliary (HPB) surgery is associated with significant morbidity and mortality. Aim of this study was to evaluate effectiveness and safety of percutaneous transhepatic approach (PTA) to drainage BL after HPB surgery. Methods: Between 2006 and 2018, consecutive patients who were referred to interventional radiology units of three tertiary referral hospitals were retrospectively identified. Technical success and clinical success were analyzed and evaluated according to surgery type, BL-site and grade, catheter size and biochemical variables. Complications of PTA were reported. Results: One-hundred-eighty-five patients underwent PTA for BL. Technical success was 100%. Clinical success was 78% with a median (range) resolution time of 21 (5–221) days. Increased clinical success was associated with patients who underwent hepaticresection (86%,p = 0,168) or cholecystectomy (86%,p = 0,112) while low success rate was associated to liver-transplantation (56%,p < 0,001). BL-site,grade, catheter size and AST/ALT levels were not associated with clinical success. ALT/AST high levels were correlated to short time resolution (17 vs 25 days, p = 0,037 and 16 vs 25 day, p = 0,011, respectively) Complications of PTA were documented in 21 (11%) patients. Conclusion: This study based on a large cohort of patients demonstrated that PTA is a valid and safe approach in BL treatment after HPB surgery.

Background: Nail tumors often pose a significant challenge for the clinician, as they are burdened by a high delay in diagnosis and paucity of clinical signs in the early stage. In most cases, the onset of pain or nail plate dystrophy leads to imaging investigations such as plain radiography, magnetic resonance imaging, and ultrasonography (US) when surgery is pending. Material and Methods: A 2-year monocentric study evaluated the histologically confirmed cases of subungual glomus tumor (GT) and squamous cell carcinoma (SCC) with a pre-surgical US assessment, and reviewed their sonography features. A total of 7 digital GTs and 6 SCCs of the nail were collected. Results: GT and SCC are easily distinguishable on US. Compared to SCC, GT was positively associated with an ovoid shape, well-defined borders, bone cup-scalloping without cortical erosion, and a rich intralesional vascular pattern (P < 0.05). Vice versa, SCC was significantly correlated with irregular shape, ill-circumscribed margins, an infiltrative growth pattern with peripheral hypoechoic foci, posterior acoustic shadow, cortical erosion, and a highly vascular multipolar peripheral pattern (P < 0.05). Conclusion: The rapid assessment of GT and SCC sonographic features may contribute to reduce diagnostic delay, expedite management, and decrease the risk of surgical relapse.

PURPOSE: To investigate the prognostic value of posttreatment 18F-FDG PET/CT in patients with locally advanced cervical cancer (LACC) treated with concomitant chemoradiation therapy (CCRT). The secondary aim was to assess the possible role of intensity-based and volume-based PET parameters including SUVmax, SUVmean, MTV and TLG, and clinical parameters including age, pathology, FIGO stage and nodal involvement as factors predicting response to treatment. METHODS: This retrospective study included 82 patients affected by LACC treated with CCRT. All patients underwent 18F-FDG PET/CT both before and after treatment. The posttreatment PET/CT scans were used to classify patients as complete metabolic responders (CMR) or non-complete metabolic responders (N-CMR) according to the EORTC criteria. Kaplan-Meier analysis was used to evaluate differences in overall survival (OS) between the CMR and N-CMR groups. Student's t test, Pearson's chi-squared test and logistic regression were used to investigate the possible value of PET and clinical parameters as predictors of metabolic response to therapy. RESULTS: Kaplan-Meier analysis showed a highly significant difference in OS between the CMR and N-CMR groups (log-rank test p

Background The herniation of the ureter into the inguinal canal is a rare condition, but probably underreported. Acquired nephroptosis could cause herniation of the ureter and, therefore, when diagnosed, a full study of the urinary tract should be performed especially in patients with inguinal hernia. Case presentation We present the case of an 86-year-old white man with a herniated ureter likely caused by acquired nephroptosis presenting with acute urinary retention, documented with magnetic resonance imaging for the first time. Conclusions The Fast Imaging Employing Steady State Acquisition sequence on magnetic resonance imaging, for many reasons, could allow correct evaluation of the urinary tract, especially in cases of renal dysfunction that contraindicate the use of intravenous contrast agents.

Segmentation is a complex task, faced by radiologists and researchers as radiomics and machine learning grow in potentiality. The process can either be automatic, semi-automatic, or manual, the first often not being sufficiently precise or easily reproducible, and the last being excessively time consuming when involving large districts with high-resolution acquisitions. A high-resolution CT of the chest is composed of hundreds of images, and this makes the manual approach excessively time consuming. Furthermore, the parenchymal alterations require an expert evaluation to be discerned from the normal appearance; thus, a semi-automatic approach to the segmentation process is, to the best of our knowledge, the most suitable when segmenting pneumonias, especially when their features are still unknown. For the studies conducted in our institute on the imaging of COVID-19, we adopted 3D Slicer, a freeware software produced by the Harvard University, and combined the threshold with the paint brush instruments to achieve fast and precise segmentation of aerated lung, ground glass opacities, and consolidations. When facing complex cases, this method still requires a considerable amount of time for proper manual adjustments, but provides an extremely efficient mean to define segments to use for further analysis, such as the calculation of the percentage of the affected lung parenchyma or texture analysis of the ground glass areas.

Aims: Texture analysis (TA) is becoming an increasingly used tool in radiological research. Some papers have been published on its use in ultrasound (US), but the way in which the machine settings affect the features has not yet been fully explored. With this research, we analyze how the time gain compensation (TGC) influences the features of the gray-level matrices in the abdominal US setting. Subjects and Methods: We analyzed the images acquired from the hepatorenal acoustic window of a healthy 29-year-old volunteer acquired with different TGC settings. TA was carried out using the LifeX software. Results: Several both 1st and 2nd order gray-level matrices features showed a strong correlation with TGC settings. Conclusions: TGC settings must be accounted for when carrying out further TA studies.

The objective of present study was to identify volatile organic compounds (VOCs) emitted from several sources (fuels, traffic, landfills, coffee roasting, a street-food laboratory, building work, indoor use of incense and candles, a dental laboratory, etc.) located in Palermo (Italy) by using canister autosamplers and gas chromatography-mass spectrometry (GC-MS) technique. In this study, 181 VOCs were monitored. In the atmosphere of Palermo city, propane, butane, isopentane, methyl pentane, hexane, benzene, toluene, meta- and para-xylene, 1,2,4 trimethyl benzene, 1,3,5 trimethyl benzene, ethylbenzene, 4 ethyl toluene and heptane were identified and quantified in all sampling sites.