Teledidactic Versus Hands-on Teaching of Abdominal, Thoracic, and Thyroid Ultrasound-The TELUS II Study

BACKGROUND

The worldwide COVID-19 pandemic has initiated a change in medical education and the development of new teaching concepts has become inevitable to maintain adequate training.

OBJECTIVE

This pilot study aims to compare teledidactic teaching with traditional face-to-face teaching for abdominal, thoracic, and thyroid ultrasound.

DESIGN

Concurrently, a teledidactic and a face-to-face ultrasound course were held. The students completed seven 90-min modules using mobile ultrasound probes (Butterfly IQ). Each module consisted of a lecture, a demonstration of probe guidance, and independent training.

PARTICIPANTS

A total of thirty medical students took part in the study and were randomly assigned to a teledidactic and a face-to-face group.

MAIN MEASURES

An objective structured assessment of ultrasound skills (OSAUS) was performed as a pre-test and as the final exam and ultrasound images obtained during the exam were evaluated using the brightness mode quality ultrasound imaging examination (B-QUIET) scale.

KEY RESULTS

No significant difference between the two cohorts on the OSAUS final exam was shown (p > 0.05 in all modules). There was a significant difference in the assessment of the images in the focused assessment with sonography for trauma (FAST) (p 0.015) and aorta (p 0.017) modules. Students in the teledidactic group performed better in both modules, scoring 33.59 (± 2.61) out of 44 in the module FAST (face-to-face group 30.95 (± 1.76)) and aortic images averaged 35.41 (± 2.61) points (face-to-face group 32.35 (± 3.08)).

CONCLUSIONS

A teledidactic course for abdominal and thoracic ultrasound examinations is equally effective to traditional face-to-face teaching in this pilot study. Digital implementation with a portable ultrasound machine could be a great opportunity to promote ultrasound education worldwide and over great distances.

Prevalence of joint, entheseal, tendon, and bursal findings in young, healthy individuals by musculoskeletal ultrasound

OBJECTIVE

The purpose of this study was to determine the prevalence of joint, enthesis, bursa, and tendon ultrasound findings in large and medium joints of young, healthy individuals.

METHOD

Ultrasound assessment of large and medium joints, bursae, tendons, and entheses was performed in healthy individuals below the age of 30 years. Participants also underwent bioelectrical impedance analysis and conducted supervised weight training to determine maximum strength. The prevalence of ultrasound findings was calculated and a binary logistic regression model was applied to evaluate factors associated with the present findings.

RESULTS

Fifty-one healthy individuals (52.9% female) with a mean age of 23.7 years were included in this study. Joint effusion in at least one joint was observed in 72.6% of the individuals (n = 37) and entheseal pathology in at least one enthesis was detected in 27.5% (n = 14). A binary logistic regression model indicated a significant association between reported hours of sports activity per week and the prevalence of effusion in the knee (p = 0.017). In addition, associations were observed between entheseal pathology in at least one entheseal site and body mass index (BMI) (p = 0.015) as well as fat mass index (p = 0.026).

CONCLUSION

Joint effusion in large and medium joints, as well as entheseal hyperperfusion, bursal effusion, and tendon sheath effusion, are found in healthy individuals. Hours of sports activity per week, BMI and fat mass index showed significant associations with the findings in joints and entheses.

Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors

OBJECTIVES

To develop and validate machine learning models to distinguish between benign and malignant bone lesions and compare the performance to radiologists.

METHODS

In 880 patients (age 33.1 ± 19.4 years, 395 women) diagnosed with malignant (n = 213, 24.2%) or benign (n = 667, 75.8%) primary bone tumors, preoperative radiographs were obtained, and the diagnosis was established using histopathology. Data was split 70%/15%/15% for training, validation, and internal testing. Additionally, 96 patients from another institution were obtained for external testing. Machine learning models were developed and validated using radiomic features and demographic information. The performance of each model was evaluated on the test sets for accuracy, area under the curve (AUC) from receiver operating characteristics, sensitivity, and specificity. For comparison, the external test set was evaluated by two radiology residents and two radiologists who specialized in musculoskeletal tumor imaging.

RESULTS

The best machine learning model was based on an artificial neural network (ANN) combining both radiomic and demographic information achieving 80% and 75% accuracy at 75% and 90% sensitivity with 0.79 and 0.90 AUC on the internal and external test set, respectively. In comparison, the radiology residents achieved 71% and 65% accuracy at 61% and 35% sensitivity while the radiologists specialized in musculoskeletal tumor imaging achieved an 84% and 83% accuracy at 90% and 81% sensitivity, respectively.

CONCLUSIONS

An ANN combining radiomic features and demographic information showed the best performance in distinguishing between benign and malignant bone lesions. The model showed lower accuracy compared to specialized radiologists, while accuracy was higher or similar compared to residents.

KEY POINTS

• The developed machine learning model could differentiate benign from malignant bone tumors using radiography with an AUC of 0.90 on the external test set. • Machine learning models that used radiomic features or demographic information alone performed worse than those that used both radiomic features and demographic information as input, highlighting the importance of building comprehensive machine learning models. • An artificial neural network that combined both radiomic and demographic information achieved the best performance and its performance was compared to radiology readers on an external test set.

Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on Radiographs

Background An artificial intelligence model that assesses primary bone tumors on radiographs may assist in the diagnostic workflow. Purpose To develop a multitask deep learning (DL) model for simultaneous bounding box placement, segmentation, and classification of primary bone tumors on radiographs. Materials and Methods This retrospective study analyzed bone tumors on radiographs acquired prior to treatment and obtained from patient data from January 2000 to June 2020. Benign or malignant bone tumors were diagnosed in all patients by using the histopathologic findings as the reference standard. By using split-sample validation, 70% of the patients were assigned to the training set, 15% were assigned to the validation set, and 15% were assigned to the test set. The final performance was evaluated on an external test set by using geographic validation, with accuracy, sensitivity, specificity, and 95% CIs being used for classification, the intersection over union (IoU) being used for bounding box placements, and the Dice score being used for segmentations. Results Radiographs from 934 patients (mean age, 33 years ± 19 [standard deviation]; 419 women) were evaluated in the internal data set, which included 667 benign bone tumors and 267 malignant bone tumors. Six hundred fifty-four patients were in the training set, 140 were in the validation set, and 140 were in the test set. One hundred eleven patients were in the external test set. The multitask DL model achieved 80.2% (89 of 111; 95% CI: 72.8, 87.6) accuracy, 62.9% (22 of 35; 95% CI: 47, 79) sensitivity, and 88.2% (67 of 76; CI: 81, 96) specificity in the classification of bone tumors as malignant or benign. The model achieved an IoU of 0.52 ± 0.34 for bounding box placements and a mean Dice score of 0.60 ± 0.37 for segmentations. The model accuracy was higher than that of two radiologic residents (71.2% and 64.9%; P = .002 and P < .001, respectively) and was comparable with that of two musculoskeletal fellowship-trained radiologists (83.8% and 82.9%; P = .13 and P = .25, respectively) in classifying a tumor as malignant or benign. Conclusion The developed multitask deep learning model allowed for accurate and simultaneous bounding box placement, segmentation, and classification of primary bone tumors on radiographs. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Carrino in this issue.

A study on echocardiographic findings in hospitalized patients with connective tissue diseases

OBJECTIVE

To determine the prevalence of echocardiographic findings and their change over time in patients with connective tissue diseases (CTDs) and to analyse which findings were associated with escalation of immunosuppressive therapy.

METHOD

We conducted a retrospective cohort study of consecutive hospitalized patients from a tertiary rheumatology referral centre who received transthoracic echocardiography between 1 January 2006 and 31 December 2015. We tested for associations between echocardiographic findings and treatment escalation via Fisher's exact test; p < 0.05 was considered significant. Escalation of therapy was defined by dosage of glucocorticoids and type of disease-modifying anti-rheumatic drug. The clinical relevance of echocardiographic findings concerning change in immunosuppressive therapy was recorded.

RESULTS

In total, 1004 patients were included (865 females), with a total of 1660 echocardiographic examinations. The most frequent findings were mitral, tricuspid, and aortic valve regurgitation (found in 36.7%, 25.4%, and 17.7% of all patients), aortic valve sclerosis (20.1%), left ventricular dysfunction (21.5%), and left atrial dilatation (19.2%). Only pericardial effusions were more frequent in cases with treatment escalation (10.9% of cases with escalated therapy vs 6.9% of cases without, p = 0.007). In 314 patients who received follow-up examinations, echocardiographic findings were found to change between examinations. Only 73 of all 1660 examinations were discussed in depth considering the treatment strategy in the hospital discharge letter.

CONCLUSION

Patients with CTDs exhibited a wide, dynamically changing spectrum of echocardiographic abnormalities. Most findings neither reflected disease activity nor appeared to influence the therapeutic regimen.

[Prevalence of hypophosphatasia in adult patients in rheumatology]

Hintergrund

Die Hypophosphatasie (HPP) ist eine genetische Erkrankung, die durch eine oder mehrere Mutationen im Gen für alkalische Phosphatase (ALP) verursacht wird, verantwortlich für die Kodierung der gewebespezifischen ALP und für den Mineralisierungsprozess.

Ziel der Arbeit

Bestimmung der Prävalenz der HPP bei rheumatologischen Patienten.

Material und Methoden

Retrospektive Analyse der Krankenakten aller erwachsener Patienten mit pathologisch erniedrigten gesamt ALP-Werten (<35 U/l), die zwischen Januar 2017 und Juni 2019 in der Rheumatologie der Medizinischen Klinik III am Universitätsklinikum Bonn behandelt wurden. Die Analyse wurde in Bezug auf klinische Zeichen sowie auf die Ergebnisse der Gentests für HPP untersucht.

Ergebnisse

Bei 60 von 2289 Patienten (2,62 %) zeigten sich pathologisch niedrige ALP-Werte, bei 30 von ihnen (1,31 %) wurden persistierend niedrige ALP-Werte festgestellt. Bei 19 dieser 30 Patienten wurde ein Gentest für ALP-Genmutationen durchgeführt. Sieben der 19 Patienten (36,84 %) hatten HPP-Zeichen (Insuffizienzfrakturen oder schlechter Zahnstatus seit der Kindheit), alle mit pathologischer ALP-Mutation. Drei dieser Patienten (15,78 %) hatten jeweils eine Insuffizienzfraktur mit normwertiger Knochendichtemessung in der Vorgeschichte. Insgesamt 13 von 19 Patienten wiesen (68,42 %) Mutationen im ALP-Gen auf. Interessanterweise wurde keine Assoziation mit einer Chondrokalzinose festgestellt.

Diskussion

Die HPP scheint eine unterdiagnostizierte Erkrankung mit einem höheren Anteil betroffener Patienten, welche in der Rheumatologie vorstellig werden, zu sein. Daher sollten zukünftige Studien darauf abzielen, ein Diagnostikprotokoll in der klinischen Praxis zu entwickeln.

[Coexistent septic arthritis and spondylodiscitis as important differential diagnosis in immunosuppressed patients]

Die septische Arthritis und Spondylodiszitis stellen bei immunsupprimierten Patienten eine wichtige Differenzialdiagnose des Gelenk- oder Wirbelsäulenschmerzes dar. Hierbei kommt es zu einem Erregerbefall eines Gelenks bzw. einer Bandscheibe und angrenzender Wirbelkörper. Es zeigen sich meist unspezifische Symptome wie lokaler Gelenk- oder Rückenschmerz, Fieber und verringerter Allgemeinzustand. Diagnostisch kann bei klinischem Verdacht die bakterielle Besiedelung durch eine Gelenkpunktion und Blutkulturen nachgewiesen werden. Zur Diagnosefindung einer Spondylodiszitis sollte eine bildmorphologische Darstellung mittels Magnetresonanztomographie erfolgen. Neben einer adäquaten Schmerztherapie und empirischer antibiotischer Therapie sollte bei einer septischen Arthritis die chirurgische Entfernung des infektiösen Materials aus dem Gelenk angestrebt werden. Eine chirurgische Versorgung der Spondylodiszitis sollte bei auftretenden Komplikationen erfolgen. Die folgende Kasuistik stellt den gleichzeitigen Befund einer septischen Polyarthritis und Spondylodiszitis bei einem immunsupprimierten Patienten mit HIV-Infektion vor und zeigt eindrücklich das Auftreten von Komplikationen bei Verzögerung einer adäquaten Therapie.

[Prevalence and treatment of rheumatological adverse events due to immune checkpoint inhibitor therapy]

BACKGROUND

Immune checkpoint inhibitors (ICI) have essentially improved the treatment options for various malignant diseases. They lead to an activation of the immune system and subsequent attack of tumor cells by affecting the immune system and preventing tumor cells from avoiding detection. In addition to this desired effect, immune-related adverse events (irAE) can occur in nearly all organ systems and therefore also rheumatological irAE (rh-irAE).

OBJECTIVE

The occurrence of rh-irAE has been described in various publications and is specifically investigated in this review. The aim is to provide an overview on the prevalence, severity, treatment options and altered tumor response in patients with rh-irAE.

MATERIAL AND METHODS

We conducted a literature search for studies and case reports on rh-irAE under ICI therapy in PubMed up to January 2020 using the PICO model.

RESULTS

A total of 18 publications were included, most of which were clinical studies (n = 13) and the rest case reports (n = 5). Several rh-irAE can occur with a wide variety of manifestations of which arthralgia, arthritis and myositis were the most common. Other rheumatic diseases, such as vasculitis, connective tissue diseases and sarcoidosis were less frequently described. The published prevalence of rh-irAE varied with a prevalence between 2.3% and 6.6%. Treatment of rh-irAE depends on the severity and most patients receive nonsteroidal anti-inflammatory drugs and glucocorticosteroids. In some cases, conventional DMARDs, such as methotrexate and biological DMARDs, were administered. Patients with rh-irAE in general had a higher tumor response rate compared to patients without side effects.

CONCLUSION

A close observation of patients and early detection of rh-irAE are important in order to treat these side effects in time. Further prospective studies are necessary to systematically investigate rh-irAE.

Adrenal insufficiency is a contraindication for omalizumab therapy in mast cell activation disease: risk for serum sickness

Omalizumab is an effective therapeutic humanized murine IgE antibody in many cases of primary systemic mast cell activation disease (MCAD). The present study should enable the clinician to recognize when treatment of MCAD with omalizumab is contraindicated because of the potential risk of severe serum sickness and to report our successful therapeutic strategy for such adverse event (AE). Our clinical observations, a review of the literature including the event reports in the FDA AE Reporting System, the European Medicines Agency Eudra-Vigilance databases (preferred search terms: omalizumab, Xolair®, and serum sickness) and information from the manufacturer’s Novartis database were used. Omalizumab therapy may be more likely to cause serum sickness than previously thought. In patients with regular adrenal function, serum sickness can occur after 3 to 10 days which resolves after the antigen and circulating immune complexes are cleared. If the symptoms do not resolve within a week, injection of 20 to 40 mg of prednisolone on two consecutive days could be given. However, in MCAD patients whose adrenal cortical function is completely suppressed by exogenous glucocorticoid therapy, there is a high risk that serum sickness will be masked by the MCAD and evolve in a severe form with pronounced damage of organs and tissues, potentially leading to death. Therefore, before the application of the first omalizumab dose, it is important to ensure that the function of the adrenal cortex is not significantly limited so that any occurring type III allergy can be self-limiting.

[Ultrasound diagnostics in Sjögren's syndrome]

Ultrasound of the salivary glands is a specific examination for detecting pathology of salivary glands in the diagnosis of Sjögren's syndrome. It is easy to learn, rapidly performed, non-invasive and inexpensive. Other imaging techniques, such as sialography and scintigraphy, are currently only rarely performed. For the examination, linear ultrasound probes with frequencies between 7 and 12 MHz are recommended. Such probes are already widely available to the rheumatologist performing musculoskeletal ultrasound. The parotid and submandibular glands are bilaterally scanned both in longitudinal and transverse planes as a standard.Normal salivary glands have uniformly hyperechoic and homogeneous tissue. They can be clearly delineated from the surrounding muscles and soft tissue and appear similar to the thyroid gland. The salivary glands are typically hypoechoic and inhomogeneous in Sjögren's syndrome. Focal or diffuse hypoechoic or anechoic foci are found in the glands. The submandibular glands may become atrophic (sagittal diameter <8 mm). Particularly in disease flares, the parotid glands may become enlarged (sagittal diameter >20 mm). The sensitivity for the diagnosis is 60 to 90% and the specificity is over 90%.Doppler sonography does not further improve the diagnostic accuracy. Sonography has thus become an important tool in the diagnosis of Sjögren's syndrome.

Arthritis of the Knee Joint in Rheumatoid Arthritis - Evaluation of Treatment Response by Ultrasound in Daily Clinical Practice

Background:

Rheumatoid arthritis (RA) commonly involves the knee joint in up to 30% of patients. Musculoskeletal ultrasound enables the skilled clinician to easily assess disease activity.

Objective:

To evaluate the sensitivity to change of the sonography score of large joints in Rheumatology (SOLAR) for different treatments of knee arthritis in RA.

Method:

Joints were assessed by ultrasound at 4 visits. Laboratory, immunological and clinical parameters were recorded.

Results:

225 RA patients were analyzed. The DAS 28 in the subgroup receiving systemic steroids was significantly higher (p < 0.001) than in patients treated with intraarticular glucocorticosteroids (GCs) at T0, comparing the values from T0 to T3 the same appeared (p=0.003). Concerning the acute GC treatment regimens, the gray scale ultrasound (GSUS) sum score was found to be significantly higher in patients receiving intraarticular GCs versus no GCs (p=0,035), as well as in patients receiving systemic versus intraarticular GCs (p=0.001). Regarding the differences from T0 and T3, similar to the baseline analysis, a high GSUS sum score was significantly associated with intraarticular GCs, a low to no GC administration (p=0.035), while a high GSUS sum score was significantly linked to intraarticular GCs, rather than systemic GCs (p=0.008).

Conclusion:

SOLAR score is sensitive to change in knee arthritis. Intraarticular GC administration is performed in patients with high GSUS scores. Systemic administration of GC is linked to high disease activity (DAS28) rather than GSUS or power Doppler ultrasound (PDUS) results.