High-resolution ultrasound of spigelian and groin hernias: a closer look at fascial architecture and aponeurotic passageways.

From the clinical point of view, a proper diagnosis of spigelian, inguinal and femoral hernias may be relevant for orienting the patient's management, as these conditions carry a different risk of complications and require specific approaches and treatments. Imaging may play a significant role in the diagnostic work-up of patients with suspected abdominal hernias, as the identification and categorization of these conditions is often unfeasible on clinical ground. Ultrasound imaging is particularly suited for this purpose, owing to its dynamic capabilities, high accuracy, low cost and wide availability. The main limitation of this technique consists of its intrinsic operator dependency, which tends to be higher in difficult-to-scan areas such as the groin because of its intrinsic anatomic complexity. An in-depth knowledge of the anatomy of the lower abdominal wall is, therefore, an essential prerequisite to perform a targeted ultrasound examination and discriminate among different types of regional hernias. The aim of this review is to provide a detailed analysis of the fascial architecture and aponeurotic passageways of the abdominal wall through which spigelian, inguinal and femoral hernias extrude, by means of schematic drawings, ultrasound images and video clips. A reasoned landmark-based ultrasound scanning technique is described to allow a prompt and reliable identification of these pathologic conditions.

Extraneural findings during peripheral nerve ultrasound: Prevalence and further assessment.

INTRODUCTION: In this study we evaluated the frequency and further assessment of extraneural findings encountered during peripheral nerve ultrasound (US). METHODS: Our retrospective review identified 278 peripheral nerve US examinations of 229 patients performed between December 2014 and December 2015. Reports were reviewed to assess the number of studies without peripheral nerve abnormalities and the frequency and further assessment of extraneural findings. RESULTS: A total of 107 peripheral nerve US examinations of 90 patients (49 men and 41 women, mean age 55 ± 16 years) did not report peripheral nerve abnormalities. Extraneural findings were observed in 24 of 107 (22.4%) studies. Fifteen of the 278 [5.4% (95% confidence interval 2.7%-8.1%)] studies led to a recommendation for additional imaging or clinical evaluation of an extraneural finding. DISCUSSION: At least 5.4% (15 of 278) of peripheral nerve US studies led to additional clinical or imaging assessment. Muscle Nerve 57: 65-69, 2018.

Imaging of Childhood Vasculitis.

Pediatric vasculitides are rare conditions that can represent a diagnostic challenge because symptoms are usually aspecific and variable. Symptoms are related to the size of the involved vessel, extension of disease, and organs affected. The outcome is closely linked to an early diagnosis and proper treatment. Diagnostic imaging allows visualization of the involvement of large-size and medium-size vessels and assesses end-organ changes and response to therapy, thus playing a pivotal role in the diagnosis and treatment. This article explores the general features of pediatric vasculitis and discusses the imaging approach and the most common diagnostic findings.

Ultrasound for Early Detection of Joint Disease in Patients with Hemophilic Arthropathy.

Joint bleeding represents the most commonly reported type of hemorrhage in patients affected by hemophilia. Although the widespread use of prophylaxis has been able to significantly reduce the onset of arthropathy, it has been shown that a non-negligible percentage of patients develop degenerative changes in their joints despite this type of treatment. Thus, periodic monitoring of the joint status in hemophilia patients has been recommended to identify early arthropathic changes and prevent the development or progression of hemophilic arthropathy. Ultrasound (US) has proven able to detect and quantify the most relevant biomarkers of disease activity (i.e., joint effusion and synovial hypertrophy) and degenerative damages (i.e., osteo-chondral changes) by means of scoring scales of increasing disease severity. In the present review, we have detailed major literature evidence about the use of US to assess joint status in hemophilia patients, focusing on signs of disease activity and degenerative damages. In particular, we have discussed recent evidence about "point-of-care" use patients with hemophilia.

Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts: Interim Report of a Prospective Comparative Trial.

PURPOSE: Debate on adjunct screening in women with dense breasts has followed legislation requiring that women be informed about their mammographic density and related adjunct imaging. Ultrasound or tomosynthesis can detect breast cancer (BC) in mammography-negative dense breasts, but these modalities have not been directly compared in prospective trials. We conducted a trial of adjunct screening to compare, within the same participants, incremental BC detection by tomosynthesis and ultrasound in mammography-negative dense breasts. PATIENTS AND METHODS: Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts is a prospective multicenter study recruiting asymptomatic women with mammography-negative screens and dense breasts. Eligible women had tomosynthesis and physician-performed ultrasound with independent interpretation of adjunct imaging. Outcome measures included cancer detection rate (CDR), number of false-positive (FP) recalls, and incremental CDR for each modality; these were compared using McNemar's test for paired binary data in a preplanned interim analysis. RESULTS: Among 3,231 mammography-negative screening participants (median age, 51 years; interquartile range, 44 to 78 years) with dense breasts, 24 additional BCs were detected (23 invasive): 13 tomosynthesis-detected BCs (incremental CDR, 4.0 per 1,000 screens; 95% CI, 1.8 to 6.2) versus 23 ultrasound-detected BCs (incremental CDR, 7.1 per 1,000 screens; 95% CI, 4.2 to 10.0), P = .006. Incremental FP recall occurred in 107 participants (3.33%; 95% CI, 2.72% to 3.96%). FP recall (any testing) did not differ between tomosynthesis (FP = 53) and ultrasound (FP = 65), P = .26; FP recall (biopsy) also did not differ between tomosynthesis (FP = 22) and ultrasound (FP = 24), P = .86. CONCLUSION: The Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts' interim analysis shows that ultrasound has better incremental BC detection than tomosynthesis in mammography-negative dense breasts at a similar FP-recall rate. However, future application of adjunct screening should consider that tomosynthesis detected more than 50% of the additional BCs in these women and could potentially be the primary screening modality.

Breast density assessment using a 3T MRI system: comparison among different sequences.

PURPOSE: To compare MRI sequences for breast density measurements on a 3T MRI system using IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation) as possible physiology-like reference. MATERIALS AND METHODS: MRI examination was performed in 48 consecutive patients (mean age 41, years; range, 35-67 years) on a 3.0T scanner and 46 were included. All (fertile) women, were examined between days 5 and 15 of their menstrual cycle. MRI protocol included: T1-turbo spin-echo (T1-tSE), T2-turbo spin-echo (T2-tSE), VIBRANT (Volume Imaging for Breast Assessment) before and after injection of contrast media and IDEAL. Breast density was calculated with semi-automated software. Statistical analysis was performed with non-parametric tests. RESULTS: Mean percentage of breast density calculated in each sequence was: T1-tSE = 56%; T2-tSE  = 52%; IDEAL FatOnly  = 55%; IDEAL WaterOnly  = 53%, VIBRANT = 55%. Significant differences were observed between T2-tSE and both T1-tSE (p<0.001), VIBRANT sequences (p = 0.009), T1-tSE and both IDEAL WaterOnly (p = 0.007) and IDEAL FatOnly (p = 0.047). Breast density percentage showed a positive linear correlation among different sequences: r ≥ 0.93. CONCLUSIONS: Differences exist between MRI sequences used to assess breast density percentage. T1-weighted sequences values were similar to IDEAL sequences.

Imaging finger joint instability with ultrasound.

Closed injuries affecting the metacarpophalangeal and interphalangeal joints and their stabilizers in the thumb and fingers occur very commonly in athletes, possibly leading to finger joint instability and long-standing or permanent disability. This article reviews the spectrum of joint injuries of the thumb and fingers that are common in the athletic population with a main focus on the ultrasound features of collateral ligament tears, palmar plate injuries, and thumb sesamoid fractures. A thorough understanding of the complex anatomy, mechanism of injury, soft tissue abnormalities, and imaging findings is critical in the diagnostic work-up of closed finger joint trauma and may help improve outcomes.

Comparative estimation of percentage breast tissue density for digital mammography, digital breast tomosynthesis, and magnetic resonance imaging.

Given the increasingly important role of breast density as an independent risk factor for breast cancer, and the variable breast imaging tests that potentially provide measures for density. We compared breast tissue density on digital mammography (FFDM), digital breast tomosynthesis (DBT), and magnetic resonance imaging (MRI) using semi-automated automated software. These three imaging modalities have not been previously directly compared for estimating breast tissue density. Following informed consent from all participating women, FFDM, DBT, and MRI were performed. Breast percentage density was calculated with semi-automated software, and compared, for all three imaging modalities. 48 patients (mean age, 41 years; range, 35-67 years) underwent FFDM, DBT, and MRI. Percent FFDM, DBT, and MRI breast density measures showed a positive linear correlation, (r = 0.95 for MRI and DBT, P < 0.0001; r = 0.97, P < 0.0001 for FFDM and DBT; r = 0.87 for FFDM and MRI). Linear regression analysis related to MRI and DBT had a high r (2) = 0.89 (95 % CI = 0.88-0.99, P < 0.001). FFDM overestimated breast density in 15.1 % in comparison to DBT and in 16.2 % in comparison to MRI, or conversely each of DBT and MRI underestimated density (relative to FFDM) by 15.1 or 16.2 %, respectively. Differences in percentage breast density between FFDM and DBT, and between FFDM and MRI, were highly significant (P < 0.0001). Differences in percentage breast density between DBT and MRI were not significant (P > 0.05). Breast density measures using FFDM, DBT, or MRI were generally well-correlated, although differences were noted between estimates when comparing FFDM and DBT, and for estimates comparing FFDM and MRI. No signficant differences in percentage density were observed when comparing DBT and MRI. Our work highlight that differences between FFDM, DBT, and MRI should be considered when measuring percentage breast density.