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Background: Interstitial Lung Disease (ILD) is the main cause of death in Systemic Sclerosis (SSc). Serious lung involvement increase the hospitalization rate and sometimes oxygen therapy is required. An prompt treatment in ILD-SSc patients is essential, but nowadays there is not a feasible method to identify patients with poor prognosis. Although chest Computed Tomography (CT) is the gold standard to detect ILD, there is no standardized assessment of its severity. Quantitative CT (QCT) is an innovative and operator independent method to assess ILD-SSc extent and severity. An increasing number of evidences confirm that QCT is extremely useful for detecting SSc-ILD with the worst prognosis. However is not well established if QCT can predict death or comorbidity associated to ILD. Objectives: The main aim of this study is to verify if QCT predict 8-years mortality or clinical worsening (i.e. hospitalization for respiratory complications or chronic oxygen therapy) in SSc. Methods: Consecutive SSc patients (according to ACR/EULAR classification criteria) from ten different centers underwent a chest CT. Their clinical history was carefully recorded in the following 96 months. A rheumatologist post-analyzed every CT with an open source DICOM viewer in order to obtain QCT indexes. Patients were clustered in two subgroups: according to QCT indexes’ cutoff previously found (see Ariani et al., 2017). The survival time of each patient was considered the time interval between the CT date and death, hospitalization related to lung worsening, beginning of chronic oxygen therapy or last medical examination Results: We enrolled 342 patients; during the 8-years follow-up 15.5% (53/342) died and 4,4% (15/342) had a clinical worsening. The Kaplan-Meier survival analysis demonstrates a worse survival in patients with QCT indexes above or below the previously observed cutoffs. (p References: The QCT indexes’ cutoffs previously found (see Ariani, et al., 2017) identify the SSc-ILD subjects with an high risk of 8-years mortality and comorbidity. These findings suggest that QCT could became a pivotal assessment in SSc management because its role in identifying patients with poor prognosis and who deserve an early aggressive treatment. Disclosure of Interest: None declared

The aim of the study was to compare both reproducibility and prognostic value of lesion size measurements obtained manually and semiautomatically on computed tomography in advanced non-small cell lung cancer (NSCLC).Manual axial longest diameter, semiautomatic axial longest diameter, and volume of NSCLC lesions were independently analyzed by 4 readers at baseline and after at least 1 cycle of platinum-based chemotherapy. The prognostic value of the proportional change in lesion size between baseline and follow-up CT was evaluated using either RECIST or experimental thresholds derived from the quartiles of the changes as assessed manually or semiautomatically.Semiautomatic axial longest diameter (concordance correlation coefficient [CCC]: 0.980 to 0.987; variation coefficient [VC%]: 6% to 7.3%) and volume (CCC: 0.974 to 0.991; VC%: 5.6% to 9.5%) were more reproducible than manual axial longest diameter (CCC: 0.950 to 0.984; VC%: 6.4% to 11.7%). RECIST categories did not stratify patients with different survival durations. For 3/4 readers, a decrease of ≤ 70% in lesion volume was associated with shorter survival (median survival: 11 mo, P0.05; hazard ratio: 5 to 22.2, P0.05).In advanced NSCLC, semiautomatic measures were more reproducible than manual diameter, and volumetric measurement may better predict patient survival.

The aim of this discussion is to describe what is a defecography, how we have to perform it, what can we see and to present the main physio-pathological illnesses of pelvic floor and anorectal region that can be studied with this method and its advantages over other screening techniques. Defecography is a contrastographic radiological examination that highlights structural and functional pelvic floor diseases. Upon preliminary ileum-colic opacification giving to patient radiopaque contrast, are first acquired static images (at rest, in maximum voluntary contraction of the pelvic muscles, while straining) and secondarily dynamic sequences (during evacuation), allowing a complete evaluation of the functionality of the anorectal region and the pelvic floor. Defecography is an easy procedure to perform widely available, and economic, carried out in conditions where the patient experiences symptoms, the most realistic possible. It can be still considered reliable technology and first choice in many patients in whom the clinic alone is not sufficient and it is not possible or necessary to perform a study with MRI.

Osteonecrosis of the femoral head is a common disease affecting both children and adults causing acute hip pain and functional impairment. Among the various techniques allowing a correct diagnosis, MRI represents the gold standard for an early detection, the latter being useful for a positive outcome. The purpose of this review is to describe the imaging findings of the osteonecrosis of the femoral head.

The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.

Background Quantitative Computed Tomography (QCT) is an innovative method to assess the severity of interstitial lung disease (ILD) related to systemic sclerosis (SSc). QCT is correlated to semi-quantitative radiological scores (SQs) and functional outcomes (e.g. FVC, DLco, oxygen desaturation after exercise) in SSc patients. However, the autoimmune profile can deeply influence the respiratory system9s involvement. Objectives The main aim of this study is to verify the correlation between SQs, FVC, DLco and QCT in SSc patients clustered according to their autoimmunity. Methods Three hundred three (303) SSc patients were enrolled and underwent functional and radiological assessment. Chest CTs of each patient were evaluated with both SQs and Horos (a software up to perform voxel-wise analysis) in order to obtain QCT indexes. Results Patients were divided in three groups (94 with ACA, 93 with antiScl70, 116 with other autoantibodies). QCT indexes taken into account were kurtosis (Kurt), skewness (Skew), Standard Deviation (SDev), Mean Lung Attenuation (MLA) and fibrosis ratio (FR). Except for the last one, all QCT indexes were assessed both in the parenchymal (pQCT) and in the whole lung (tQCT). The statistically significant (p In ACA patients there are not correlations between DLco and QCT indexes. Conclusions Our results confirm that the majority of QCT indexes are correlated to SQS and functional outcomes. The strongest correlation coefficients were in the antiScl70 subgroup while the weakest ones were in ACA patients. This relevant difference, possibly due to the different prevalence of ILD and type of lung involvement in these two subgroups, should be taken into account when applying the QCT assessment to SSc patients. Disclosure of Interest None declared

Background Interstitial Lung Disease (ILD) is the leading cause of morbidity and mortality in Systemic Sclerosis (SSc). Forced Vital Capacity (FVC) and chest Computed Tomography (CT) are the main exams to assess ILD severity. In particular, FVC 20%, has an unfavourable prognostic value [Goh et al., 2008]. Preliminary evidence supports the usefulness of an automated quantitative CT (QCT) assessment performed with a medical software, OsiriX, in identifying patients with more severe SSc-ILD [Ariani et al. 2014] Objectives The aim of this work is to investigate whether QCT can predict ILD-SSc radiological and functional worsening over time. Methods One hundred forty-nine patients with SSc according to EULAR/ACR criteria underwent chest CTs and pulmonary functional tests at baseline (t0) and after 1 year (t1). A VS was evaluated for each chest CT; the quantitative assessment, in order to obtain QCT indexes (QCTI), was performed only in chest CT done in t0. Patients were clustered in 3 groups: 1) VS 20% values); 3)VS>20% both at t0 and t1. A similar subdivision in other three groups was performed on the basis of FVC values (with 70% as cutoff).The Kolmogorov-Smirnov test was used to investigate QCTI distribution in the above mentioned groups. A p-value Results In group 1 (clustered according to VS variation) QCTI were different from the ones of the other two groups (p Conclusions In spite of the limitations of this study (short follow up compared with the slow ILD-SSc progression) our results support the predictivity of a QCTI in terms of future radiological and functional ILD worsening. Given its reliability and easy access, quantitative CT assessment of ILD is a promising candidate in the assessment and prognostic stratification of SSc-ILD, even in clinical practice. Disclosure of Interest None declared