Typical and atypical pattern of pulmonary sarcoidosis at high-resolution CT: relation to clinical evolution and therapeutic procedures.

AIM: This study was done to evaluate the importance of high-resolution CT (HRCT) in defining pattern and extent of disease and establishing the clinical and therapeutic pathway in sarcoidosis. MATERIALS AND METHODS: A retrospective analysis of 56 patients with pulmonary involvement of sarcoidosis was performed. Two groups were identified: 39 patients exhibiting a typical HRCT pattern and 17 patients with an atypical pattern. Inclusion criteria were the presence of radiological documentation (HRCT) of disease, clinical and radiological follow-up of 1 year and the beginning of any therapy within 1 month from the diagnosis. RESULTS: Among subjects not receiving therapy, the comparison between the two groups showed that the radiological findings remained stable in subjects with a typical pattern, while they worsened in more than 70% of cases with atypical appearance. Therapy was more effective in patients with a typical pattern. Recurrences occurred in both groups, but more often in patients with a typical pattern. One patient not receiving treatment experienced clinical worsening. Re-evaluation of HRCT within 1 year revealed no correlation between clinical deterioration and radiological changes. CONCLUSIONS: The findings of this study suggest that persistence of the inflammatory process rather than the radiological pattern at onset is a prognostic factor for recurrence.

MR and CEUS monitoring of patients with severe rheumatoid arthritis treated with biological agents: a preliminary study.

PURPOSE: This study was done to propose a study protocol for patients with rheumatoid arthritis (RA) treated with biological agents, by evaluating the contribution of contrast-enhanced magnetic resonance (CE-MR) imaging, a software programme that calculates the volume of synovitis on CE-MR images, and contrast-enhanced ultrasound (CEUS). MATERIALS AND METHODS: Sixteen patients with RA receiving treatment with biologics were analysed. The patients underwent clinical examination, CE-MR imaging and CEUS on the same day. Images were postprocessed with the software and evaluated independently by three physicians in terms of RAMRIS (Rheumatoid Arthritis Magnetic Resonance Imaging Score), SAMIS (Simplified Rheumatoid Arthritis Magnetic Resonance Imaging Score) and CEUS grade. The techniques were correlated statistically. RESULTS: The RAMRIS and SAMIS scores were found to correlate statistically. CE-MR imaging correlated with the clinical data (p < 0.05), whereas CEUS did not. The data provided by the software did not correlate statistically with the other techniques. The most painful joint was consistently found to be the joint with most synovitis. CONCLUSIONS: CE-MR imaging may be used prior to treatment and for long-term follow-up. CEUS might be useful in the short-term follow-up, as it seems to provide an indication of the presence or absence of disease, though not of its severity. The software is a very useful tool that can supplement, but not replace, the other techniques.

Imaging of soft-tissue tumors.

The objective of this review is to highlight the major imaging characteristics of the main soft-tissue sarcoma histotypes observed in the group "Sarcomi" of the Istituto Oncologico Veneto in the last 5 years. A literature review was performed using PubMed and textbooks. Radiological imaging can guide the diagnosis for the subset of lesions that have typical clinical and imaging features. Soft-tissue tumors are common in clinical practice and a systematic clinical and imaging approach may guide the diagnosis.

Evaluation of finger joint synovial vascularity in patients with rheumatoid arthritis using contrast-enhanced ultrasound with water immersion and a stabilized probe.

PURPOSE.: To assess synovial microvascularity in finger joints with rheumatoid arthritis (RA) by contrast-enhanced ultrasound (CEUS), distinguishing between cases of active disease and those in remission; to standardize the technique for software analysis. METHODS.: Fifty-two finger joints of RA patients (26 with active disease and 26 in remission) were immersed in water and examined by CEUS using a fixed probe. Signal intensity curves were calculated with the software. RESULTS.: Contrast enhancement was detectable in all 26 patients with active RA (100%), but not in 25 of 26 patients in remission (96%); one of the latter patients (4%) showed minimal enhancement. The method's sensitivity and specificity in distinguishing active disease from remission were 100% and 96%. The grades of synovial enhancement correlated with clinical disease activity and software flow parameters. The peak contrast levels correlated with clinical activity, a peak of 9% representing the cutoff between remission and active disease. CONCLUSIONS.: CEUS with a fixed probe on finger joints immersed in water detected synovial vascularization in RA, producing results suitable for standardized software analysis and avoiding artifacts.

Non Lipomatous Benign Lesions Mimicking Soft-tissue Sarcomas: A Pictorial Essay.

The incidental finding of soft tissue masses is a challenge for the radiologist. Benign and malignant lesions can be differentiated relying on patient history, symptoms and mostly with the help of imaging. Ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI) become fundamental in order to distinguish these lesions but the radiologist needs to know the main characteristics of benign soft tissue masses and sarcomas. Herein, we present a pictorial review of lesions mimicking soft tissue sarcomas features.

Bayesian Quantification of Contrast-Enhanced Ultrasound Images With Adaptive Inclusion of an Irreversible Component.

Contrast Enhanced Ultrasound (CEUS) is a sensitive imaging technique to assess tissue vascularity and it can be particularly useful in early detection and grading of arthritis. In a recent study we have shown that a Gamma-variate can accurately quantify synovial perfusion and it is flexible enough to describe many heterogeneous patterns. However, in some cases the heterogeneity of the kinetics can be such that even the Gamma model does not properly describe the curve, with a high number of outliers. In this work we apply to CEUS data the single compartment recirculation model (SCR) which takes explicitly into account the trapping of the microbubbles contrast agent by adding to the single Gamma-variate model its integral. The SCR model, originally proposed for dynamic-susceptibility magnetic resonance imaging, is solved here at pixel level within a Bayesian framework using Variational Bayes (VB). We also include the automatic relevant determination (ARD) algorithm to automatically infer the model complexity (SCR vs. Gamma model) from the data. We demonstrate that the inclusion of trapping best describes the CEUS patterns in 50% of the pixels, with the other 50% best fitted by a single Gamma. Such results highlight the necessity of the use ARD, to automatically exclude the irreversible component where not supported by the data. VB with ARD returns precise estimates in the majority of the kinetics (88% of total percentage of pixels) in a limited computational time (on average, 3.6 min per subject). Moreover, the impact of the additional trapping component has been evaluated for the differentiation of rheumatoid and non-rheumatoid patients, by means of a support vector machine classifier with backward feature selection. The results show that the trapping parameter is always present in the selected feature set, and improves the classification.

Magnetic Resonance Imaging Assessment of Lipomatous Soft-tissue Tumors.

AIM: To establish the accuracy of magnetic resonance imaging (MRI) in distinguishing between benign and malignant lipomatous tumors; to evaluate the reproducibility of the MRI interpretation assessing the agreement between judgments of two radiologists with the same experience in soft-tissue sarcomas; to identify an association among MRI findings (size, depth, septa, nodules, signal homogeneity) and nature of the lesion. MATERIALS AND METHODS: A total of 54 patients (28 men and 26 women), with a mean age of 56 (range=27-84) were included years. All subjects followed-up by the Multidisciplinary Sarcoma Group. The following MRI findings were judged in a blind study by two radiologists: size, localization, septa, nodules and signal homogeneity. A diagnostic indication was then given from among lipoma, atypical lipomatous tumour (ALT) and liposarcoma. Accuracy in distinguishing between benign and malignant lesions, and between lipoma and ALT (Fisher's exact test), inter-operator agreement (Cohen's kappa), association of MRI findings and malignancy of the lesion (Fisher's exact test and odds ratio) were evaluated. RESULTS: The inter-operator agreement was complete (100%). The agreement between diagnostic hypothesis and histological diagnosis was statistically significant (p<0.05). Among the radiological findings taken into account, only septa and signal homogeneity were significantly associated with the malignancy of the lesion (p<0.05). CONCLUSION: MRI could be helpful in distinguishing lipomatous tumors, allowing biopsy to be avoided in some cases (negative predictive value=100%).

Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints.

To develop quantitative imaging biomarkers of synovial tissue perfusion by pixel-based contrast-enhanced ultrasound (CEUS), we studied the relationship between CEUS synovial vascular perfusion and the frequencies of pathogenic T helper (Th)-17 cells in psoriatic arthritis (PsA) joints. Eight consecutive patients with PsA were enrolled in this study. Gray scale CEUS evaluation was performed on the same joint immediately after joint aspiration, by automatic assessment perfusion data, using a new quantification approach of pixel-based analysis and the gamma-variate model. The set of perfusional parameters considered by the time intensity curve includes the maximum value (peak) of the signal intensity curve, the blood volume index or area under the curve, (BVI, AUC) and the contrast mean transit time (MTT). The direct ex vivo analysis of the frequencies of SF IL17A-F+CD161+IL23+ CD4+ T cells subsets were quantified by fluorescence-activated cell sorter (FACS). In cross-sectional analyses, when tested for multiple comparison setting, a false discovery rate at 10%, a common pattern of correlations between CEUS Peak, AUC (BVI) and MTT parameters with the IL17A-F+IL23+ - IL17A-F+CD161+ - and IL17A-F+CD161+IL23+ CD4+ T cells subsets, as well as lack of correlation between both peak and AUC values and both CD4+T and CD4+IL23+ T cells, was observed. The pixel-based CEUS assessment is a truly measure synovial inflammation, as a useful tool to develop quantitative imaging biomarker for monitoring target therapeutics in PsA.

Role of Radiologic Imaging in Genetic and Acquired Neuromuscular Disorders.

UNLABELLED: Great technologic and clinical progress have been made in the last two decades in identifying genetic defects of several neuromuscular diseases, as Spinal Muscular Atrophy, genetic muscular dystrophies and other genetic myopathies. The diagnosis is usually challenging, due to great variability in genetic abnormalities and clinical phenotypes and the poor specificity of complementary analyses, i.e., serum creatine kinase (CK) and electrophysiology. Muscle biopsy represents the gold standard for the diagnosis of genetic neuromuscular diseases, but clinical imaging of muscle tissue is an important diagnostic tool to identify and quantifyies muscle damage. Radiologic imaging is, indeed, increasingly used as a diagnostic tool to describe patterns and the extent of muscle involvement, thanks to modern techniques that enable to definethe definition of degrees of muscle atrophy and changes in connective tissue. They usually grade the severity of the disease process with greater accuracy than clinical scores. Clinical imaging is more than complementary to perform muscle biopsy, especially as ultrasound scans are often mandatory to identify the muscle to be biopsied. We will here detail and provideWe will herein provide detailed examples of the radiologic methods that can be used in genetic and acquired neuromuscular disorders, stressing pros and cons. KEY WORDS: Muscle Imaging, MRI, CT, genetic muscle disorders, myopathies, dystrophies.

Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis.

Inflammatory rheumatic diseases are the leading causes of disability and constitute a frequent medical disorder, leading to inability to work, high comorbidity, and increased mortality. The standard for diagnosing and differentiating arthritis is based on clinical examination, laboratory exams, and imaging findings, such as synovitis, bone edema, or joint erosions. Contrast-enhanced ultrasound (CEUS) examination of the small joints is emerging as a sensitive tool for assessing vascularization and disease activity. Quantitative assessment is mostly performed at the region of interest level, where the mean intensity curve is fitted with an exponential function. We showed that using a more physiologically motivated perfusion curve, and by estimating the kinetic parameters separately pixel by pixel, the quantitative information gathered is able to more effectively characterize the different perfusion patterns. In particular, we demonstrated that a random forest classifier based on pixelwise quantification of the kinetic contrast agent perfusion features can discriminate rheumatoid arthritis from different arthritis forms (psoriatic arthritis, spondyloarthritis, and arthritis in connective tissue disease) with an average accuracy of 97%. On the contrary, clinical evaluation (DAS28), semiquantitative CEUS assessment, serological markers, or region-based parameters do not allow such a high diagnostic accuracy.

Effects of mud-bath therapy in psoriatic arthritis patients treated with TNF inhibitors. Clinical evaluation and assessment of synovial inflammation by contrast-enhanced ultrasound (CEUS).

OBJECTIVES: Despite the efficacy of TNF inhibitors, most patients with psoriatic arthritis maintain a residual synovial inflammation. The main aim of the study was to evaluate the effects of mud-bath therapy on clinical picture of PsA patients treated with TNF inhibitors. The secondary outcome was to assess synovial inflammation in hand joints detected by contrast-enhanced ultrasound. Other aims were to verify the risk of arthritis flare and to evaluate the effects of spa treatment on functional ability and on quality of life. METHODS: Thirty-six patients with psoriatic arthritis, treated in the last 6 months with TNF inhibitors, were enrolled. After 1:1 randomisation, 18 patients (group A) underwent mud-bath therapy (12 mudpacks and 12 thermal baths), maintaining treatment with TNF inhibitors; 18 patients (group B) continued pharmacological therapy alone. CRP, PASI, DAS28, swollen and tender joint count, VAS pain, HAQ and SF-36 were evaluated at baseline (T0) and after 45 days (T1). Synovial inflammation detected by contrast-enhanced ultrasound, analysed by a software system, was also assessed. RESULTS: A significant improvement in PASI (P<0.005), DAS28 (P<0.05), swollen joint count and tender joint count (P<0.001), and HAQ (P<0.001) between T0 and T1 was observed in group A. No patient underwent a flare-up of arthritis. Ultrasound videos demonstrated a significant appearance delay (P<0.05) and faster washout (P<0.02) of contrast dye in group A patients with respect to group B. CONCLUSIONS: These data suggest a decrease of residual synovial inflammation and a beneficial clinical effect of spa therapy in psoriatic arthritis patients treated with TNF inhibitors.

Core needle biopsy of soft tissue tumors, CEUS vs US guided: a pilot study.

PURPOSE: The purpose of this study was to evaluate the usefulness of contrast-enhanced ultrasonography (CEUS) in the bioptic sampling of soft tissue tumors (STT) compared with unenhanced ultrasonography alone. METHODS: This is a prospective longitudinal study of 40 patients subjected to ultrasonography (US)-guided core needle biopsy (CNB) to characterize a suspected STT. Three series of bioptic samplings were carried out on each patient, respectively using unenhanced US alone and CEUS in both the areas of the tumor enhanced or not by the contrast medium. All bioptic samples underwent a histological evaluation and the results were analyzed by comparing the histology of the biopsy with the definitive diagnosis in 15 surgically excised samples. RESULTS: 27 (67.5 %) of the 40 patients completed the entire study procedure; in 19 cases (70.3 %) the three bioptic samplings gave unanimous results, also when compared to the surgical specimen; in seven cases (25.9 %) use of CEUS allowed to obtain additional or more accurate information about the mass in question, compared to simple US guidance without contrast; in one patient (3.7 %) sampling obtained using unenhanced ultrasonography guidance and in the areas enhanced by the contrast agent had precisely the same results of the surgical specimen. CONCLUSIONS: CEUS, due to its ability to evaluate microvascular areas, has proven to be a promising method in guiding bioptic sampling of soft tissue tumor, directing the needle to the most significant areas of the tumor. Given the small number of patients evaluated in our study, to achieve statistically significant results, it would be appropriate to obtain a larger sample size, since the very first results seem to be encouraging and to justify the increase of the population.

Vascular perfusion kinetics by contrast-enhanced ultrasound are related to synovial microvascularity in the joints of psoriatic arthritis.

The purpose of the study was to assess the relationship of the continuous mode contrast-enhanced harmonic ultrasound (CEUS) imaging with the histopathological and immunohistochemical (IHC) quantitative estimation of microvascular proliferation on synovial samples of patients affected by sustained psoriatic arthritis (PsA). A dedicated linear transducer was used in conjunction with a specific continuous mode contrast enhanced harmonic imaging technology with a second-generation sulfur hexafluoride-filled microbubbles C-agent. The examination was carried out within 1 week before arthroscopic biopsies in 32 active joints. Perfusional parameters were analyzed including regional blood flow (RBF); peak (PEAK) of the C-signal intensity, proportional to the regional blood volume (RBV); beta (ß) perfusion frequency; slope (S), representing the inclination of the tangent in the origin; and the refilling time (RT), the reverse of beta. Arthroscopic synovial biopsies were targeted in the hypervascularity areas, as in the same knee recesses assessed by CEUS; the synovial cell infiltrate and vascularity (vessel density) was evaluated by IHC staining of CD45 (mononuclear cell) and CD31, CD105 (endothelial cell) markers, measured by computer-assisted morphometric analysis. In the CEUS area examined, the corresponding time-intensity curves demonstrated a slow rise time. Synovial histology showed slight increased layer lining thickness, perivascular lymphomonocyte cell infiltration, and microvascular remodeling, with marked vessel wall thickening with reduction of the vascular lumen. A significant correlation was found between RT and CD31+ as PEAK and CD105+ vessel density; RT was inversely correlated to RBF, PEAK, S, and ß. The study demonstrated the association of the CEUS perfusion kinetics with the histopathological quantitative and morphologic estimation of synovial microvascular proliferation, suggesting that a CEUS imaging represents a reliable tool for the estimate of the synovial hypervascularity in PsA.

Muscle MR imaging in tubular aggregate myopathy.

PURPOSE: To evaluate with Magnetic Resonance (MR) the degree of fatty replacement and edematous involvement in skeletal muscles in patients with Tubular Aggregate Myopathy (TAM). To asses the inter-observer agreement in evaluating muscle involvement and the symmetry index of fatty replacement. MATERIALS AND METHODS: 13 patients were evaluated by MR to ascertain the degree of fatty replacement (T1W sequences) according to Mercuri's scale, and edema score (STIR sequences) according to extent and site. RESULTS: Fatty replacement mainly affects the posterior superficial compartment of the leg; the anterior compartment is generally spared. Edema was generally poor and almost only in the superficial compartment of the leg. The inter-observer agreement is very good with a Krippendorff's coefficient >0.9. Data show a total symmetry in the muscular replacement (McNemar-Bowker test with p = 1). CONCLUSIONS: MR reveals characteristic muscular involvement, and is a reproducible technique for evaluation of TAM. There may also be a characteristic involvement of the long and short heads of the biceps femoris. It is useful for aimed biopsies, diagnostic hypotheses and evaluation of disease progression.

Improved detection of synovial boundaries in ultrasound examination by using a cascade of active-contours.

Rheumatoid arthritis (RA) is a chronic multisystemic autoimmune disease, with an unclear etiopathogenesis. Its early diagnosis and activity assessment are essential to adjust the proper therapy. Among the different imaging techniques, ultrasonography (US) allows direct visualization of early inflammatory joint changes as synovitis, being also rapidly performed and easily accepted by patients. We propose an algorithm to semi-automatically detect synovial boundaries on US images, requiring minimal user interaction. In order to identify the synovia-bone and the synovia-soft tissues interfaces, and to tackle the morphological variability of diseased joints, a cascade of two different active contours is developed, whose composition corresponds to the whole synovial boundary. The algorithm was tested on US images acquired from proximal interphalangeal (PIP) and metacarpophalangeal (MCP) finger joints of 34 subjects. The results have been compared with a consensus manual segmentation. We obtained an overall mean sensitivity of 85±13%, and a mean Dice's similarity index of 80±8%, with a mean Hausdorff distance from the manual segmentation of 28±10 pixels (approximately 1.4±0.5mm), that are a better performance than those obtained by the raters with respect to the consensus.