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Thứ Tư, 5 tháng 6, 2019

Lung Comet US Reveal Subclinical Congestion in HF Patients





ATHENS, Greece — A small but groundbreaking randomized trial has strengthened the case for lung ultrasound (LUS) examinations, which can show likely subclinical pulmonary congestion, in outpatients with heart failure (HF).
The blinking appearance of "B lines" on LUS images, an artifact caused by echo differences between tissue and accumulated fluid, is a confirmed diagnostic and prognostic indicator of congestion. More B lines, also called ultrasound lung comets for the way they streak across the scan from the pleural line, mean more fluid.
The current study suggests the lines could potentially serve as a target for managing volume-depletion therapy, in that adding diuretics in response to them might improve clinical outcomes.
There was a marginally significant 48% decline in 6-month risk for a clinical composite primary endpoint, driven by a more highly significant 75% drop in urgent clinic visits for worsening HF in recently discharged patients whose outpatient diuretic therapy was guided by B lines on LUS.
Scans were obtained using highly portable, pocket-sized systems in all patients, and clinicians who used their findings to adjust diuretics in those assigned to guided therapy didn't follow a defined treatment protocol.
Because of that, the patient population numbering only about 120 from one center, the marginal primary outcome, and other reasons, the study dubbed LUS-HF is more food for thought than an endorsement of LUS-guided HF therapy.
"We propose lung ultrasound as a tool to complement clinical examination and to detect subclinical congestion," said Mercedes Rivas-Lasarte, MD, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain, during the presentation of LUS-HF here at European Society of Cardiology Heart Failure (ESC-HF) 2019.
"The lung-ultrasound guided strategy was safe and reduced the number of decompensations," Lasarte said. "We think that lung ultrasound is a rapid, easy, inexpensive, and broadly available tool that may be recommended in heart failure follow-up to improve outcomes."
However, regarding the use of B lines on LUS to guide diuretic therapy, Lasarte added, "We have to take our study as a proof of concept, and we think that multicenter studies are needed to confirm our results and to test harder endpoints."
Even though there was no treatment protocol in the study, how clinicians managed diuretics for the patients was a good reflection of real-world practice, said Peter S. Pang, MD, Indiana University, Indianapolis, an emergency physician and early adopter of LUS in patients with HF.
The trial's primary endpoint, which included mortality and urgent clinic visit or rehospitalization for worsening HF, may have been significantly reduced in the LUS-guided group, "but I think we need to be careful how we interpret the positive trial because it was driven only by urgent heart-failure visits," Pang, who was not involved in LUS-HF, told theheart.org | Medscape Cardiology.
Still, that can be important. "I think it's fair to say that many patients don't want to come back to the doctor to say they feel worse. So perhaps by using lung ultrasound as a measure of congestion, we can make patients feel better."
Lung ultrasound is safe and it sharpens diagnosis and prognostic evaluations, "so adding it to the bedside examination is strongly encouraged," Pang said.
As for whether resolution or improvement of B lines on serial lung scans after diuretic intensification predicts improved clinical outcomes, "the jury is still out."
The reported number needed to treat with LUS-guided therapy to avoid one primary endpoint was a mere five patients, Pang had pointed out earlier as the invited discussant following Lasarte's presentation.
That indicates an absolute risk reduction of 20%, "an impressive finding, in fact so impressive that we should be cautious. It is unlikely such an effect size would be observed in other populations or in larger studies," he said.
"The good thing about this technology is that it's very easy to do. It's noninvasive, and once you have the ultrasound in your hand, there's no additional cost to it," Mandeep R. Mehra, MD, Brigham and Woman's Hospital, Boston, who is not connected to LUS-HF, observed for theheart.org | Medscape Cardiology.
Although he is cautious about the magnitude of its significance, "this study is at least a step in the right direction. But it's small study, and its confounding by detection of a problem is not to be ignored," he said. That is, because all the patients received LUS, clinicians treating those in the control group could potentially have become aware of and been influenced by the ultrasound findings.
"I always look at these kinds of data with some degree of skepticism."
The LUS-HF design specified that only clinicians who treated patients in the guided-therapy group would have access to the ultrasound results. Treating physicians could take their lead from the scans on any treatment adjustments.
Indeed, they "were strongly directed to change treatment in relation to number of B lines," Lasarte said when presenting LUS-HF.
The trial included 124 patients recently discharged from hospitalization with a primary diagnosis of acute HF. They were required to have had dyspnea and X-ray evidence of pulmonary congestion, high age-adjusted natriuretic peptide levels, but no severe lung diseases.
They were randomized single-blind prior to discharge to receive standard care with guidance from LUS in 61 patients and without LUS guidance in 63 patients. The groups were similar at baseline with respect to mean left-ventricular ejection fraction, natriuretic peptide levels, cardiovascular and pulmonary comorbidities, 6-minute walk distance, and number of B lines on LUS.
Natriuretic peptides were measured and LUS performed thereafter at 2 weeks, 1 month, 3 months, and 6 months.
Six-month rates for death or urgent clinic visits or rehospitalization for worsening HF were 23% in the LUS-guided group and 40% in the control group, for a hazard ratio (HR) of 0.52 (95% CI, 0.27 - 0.99; P = .046).
There were no significant differences in natriuretic peptide levels, measures of quality of life, or the individual components of the primary endpoint except for urgent visits for worsening HF, a prespecified secondary endpoint.
Six-Month Secondary Endpoint Outcomes, LUS-HF
EndpointsLUS Guidance,
n = 61
Non-LUS Guidance, n = 63P
Urgent visits for worsening heart failure, %521.008
Change in 6-minute walk distance, m+60+37.023
Proportion receiving loop diuretics, %9175.023

Other potential applications for LUS using hand-held ultrasound systems in the chronic HF setting, Pang said, include use in a broader population to monitor for signs of impending decompensation, in the hope that early therapy can avoid hospitalization. "The promise for that is great," he said.
"It's not going to replace things like history or physical exam, but maybe it's another thing to add that helps us better decide how to treat patients. That's what I think it adds more than anything else."
Lasarte has reported no relevant financial relationships. Pang has previously disclosed consulting for Baxter, Bristol-Myers Squibb, and Novartis; and receiving support from Bristol-Myers Squibb, Roche, Novartis, Ortho Diagnostics, and Abbott. Mehra has previously disclosed being a consultant for Abbott, Portola, Bayer, and Xogenex; a trial steering committee member for Medtronic and Janssen; a scientific advisory board member for NuPulseCV and FineHeart; and a data safety monitoring board member for Mesoblast; and receiving travel support from Abbott.
ESC-HF 2019. Presented May 25, 2019. Late breaking trial I, Abstract 25.
Follow Steve Stiles on Twitter: @SteveStiles2. For more from theheart.org | Medscape Cardiology, follow us on Twitterand Facebook.

Thứ Hai, 3 tháng 6, 2019

SWE and plantar fasciitis diagnosis.


By Kate Madden Yee, AuntMinnie.com staff writer
June 3, 2019 -- Shear-wave elastography (SWE) boosts diagnostic accuracy in patients with plantar fasciitis, according to a new study published online May 30 in Academic Radiology.
And its diagnostic power is even greater when it's combined with B-mode ultrasound, yielding 100% sensitivity, according to a team led by Dr. Matthias Gatz of University Hospital RWTH Aachen in Germany.
"[Our] study showed for the first time that SWE has an additive diagnostic value for diagnosing plantar fasciitis, with a sensitivity of 100% for the combined usage of SWE and B-mode ultrasound," the group wrote. "Additionally, the diagnostic accuracy increased from 79% using B-mode ultrasound to 84% using SWE."
The current standard for diagnosing plantar fasciitis is B-mode ultrasound to identify hypoechoic areas, border irregularities of the fascia, and calcifications. In particular, plantar fascia thickness of more than 4 mm is the key diagnostic sign for diagnosing fasciitis with B-mode ultrasound. But since fascia thickness can actually decrease over time, even in patients with fasciitis, B-mode ultrasound can miss fasciitis cases.
Gatz and colleagues hypothesized that SWE would be more effective in diagnosing fasciitis because it measures tissue stiffness and can therefore identify the condition even if the fascia isn't thickened, according to the group. The technique may also be more effective than B-mode ultrasound for monitoring the effects of treatment, according to the team.
To investigate, the group conducted a study that included 82 patients with plantar fasciitis. These patients were divided into three groups: symptomatic (39), asymptomatic (23) and bilateral asymptomatic (20). The reference standard for the study was B-mode ultrasound findings of a plantar fascia thickness greater than 4 mm. The researchers measured shear-wave tissue elasticity at the calcaneus, at 1 cm away from the calcaneus, and at the central part of the calcaneus. The group then calculated sensitivity, specificity, and diagnostic accuracy of SWE compared with B-mode ultrasound.
Gatz's team found that SWE was more sensitive and more diagnostically accurate than B-mode ultrasound alone, although it was less specific.
SWE compared with B-mode ultrasound for diagnosis of plantar fasciitis
Performance measureB-modeSWE
Sensitivity61%85%
Specificity95%83%
Diagnostic accuracy79%84%
Sensitivity and diagnostic accuracy were highest when the two techniques were combined, at 100% and 90%, respectively.
The study results show that SWE can boost B-mode ultrasound's performance -- good news for patients with a condition like plantar fasciitis, which doesn't necessarily present in a way ultrasound can identify, according to Gatz's team.
"SWE provides a quantitative assessment of plantar fasciitis integrity and can distinguish between symptomatic and asymptomatic patients better than B-mode ultrasound," the group concluded.

Thứ Bảy, 1 tháng 6, 2019

Ultrasound for evaluating liver steatosis.


By Kate Madden Yee, AuntMinnie.com staff writer
May 31, 2019 -- Ultrasound is a reliable alternative to MRI for assessing liver steatosis in the clinical setting, according to a study published in the July issue of Clinical Radiology. The findings offer clinicians a cost-effective, accessible option for evaluating steatosis.
While MRI has become an accepted modality for detecting liver steatosis, it comes with a high cost and is generally less available than other modalities, according to a team led by Dr. Marie-Luise Kromrey of University Medicine Greifswald in Germany. "Ultrasonography is commonly used to detect liver steatosis and has the advantage of being cost-effective, simple, and widely available," the team wrote.
Fat storage in the liver can be an indicator of metabolic syndrome, a condition characterized by insulin resistance and a precursor to type 2 diabetes. Since liver steatosis is also a risk factor for a variety of other diseases, having an effective way to assess it is important, Kromrey and colleagues noted.
Yet although ultrasound is regularly used to detect liver steatosis, its diagnostic accuracy and reliability for assessing the severity of fatty liver have been unclear. So Kromrey and colleagues conducted a study to compare the modality's performance to that of MRI.
The study included 2,783 patients who underwent 1.5-tesla MRI scans of the liver; from these MRI exams, the group calculated proton-density fat fraction and transverse relaxation rate to estimate liver steatosis and iron overload. Patients also underwent B-mode ultrasound. Kromrey's team then assessed the sensitivity and specificity of ultrasound to identify different degrees of steatosis and amounts of liver iron (Clin Radiol, July 2019, Vol. 74:7, pp. 539-546).
MRI showed liver steatosis in 40% of participants (mild, 68.9%; moderate, 26.7%; severe, 4.4%), while ultrasound found liver steatosis in 37.8%, which corresponded to a sensitivity of 74.5% and a specificity of 86.6%.
The group also found that ultrasound sensitivity increased with the amount of liver fat present (65.1% for low fat content, 95% for moderate fat content, and 96% for high fat content). Liver iron did not affect ultrasound's ability to detect liver steatosis, Kromrey and colleagues noted.
"The present results show excellent sensitivity and specificity of ultrasound for the estimation of fatty liver disease in patients with moderate and high liver fat content," the group wrote.
However, since ultrasound didn't perform as well in patients with low liver fat content, additional evaluation methods may still need to be used, according to the team.
"The weakness of ultrasound in assessing small amounts of liver fat should be considered and compensated by additional liver enzyme quantification or MRI," the authors concluded.

Thứ Tư, 29 tháng 5, 2019

Top 4 Priorities for AI Research in Medical Imaging

By Erik L. Ridley, AuntMinnie staff writer
May 29, 2019 -- Bringing radiology artificial intelligence (AI) technology to routine clinical practice will require four major priorities: structured use cases, data sharing methods, validation and monitoring tools, and new standards and data elements, according to a report published online May 28 in the Journal of the American College of Radiology.
"An active AI ecosystem in which radiologists, their professional societies, researchers, developers, and government regulatory bodies can collaborate, contribute, and promote AI in clinical practice will be key to translating foundational AI research to clinical practice," wrote a team of authors led by Dr. Bibb Allen Jr. of the American College of Radiology (ACR) Data Science Institute.
Following up on an initial medical imaging artificial intelligence roadmap published April 16 in Radiology, which covered the challenges, opportunities, and priorities for foundational research in AI for medical imaging, Allen and colleagues turned their attention to the key priorities for translational research. Both articles were produced as a summary of last year's U.S. National Institute of Biomedical Imaging and Bioengineering (NIBIB) workshop on medical imaging, which was co-sponsored by the RSNA, the ACR, and the Academy for Radiology & Biomedical Imaging Research.
In their latest report, the authors highlighted four key translational research priorities:
  • Create structured use cases to define and highlight the clinical challenges that AI could potentially solve.
  • Create methods to encourage data sharing to support the training and testing of AI algorithms. This would promote generalizability of these algorithms to widespread clinical practice and mitigate unintended bias.
  • Establish tools for validating and monitoring the performance of AI algorithms in clinical practice, to facilitate regulatory approval.
  • Develop standards and common data elements to facilitate seamless integration of AI tools into existing clinical workflows.
In defining and prioritizing AI use cases, the medical imaging community should describe exactly what's important to radiology and what data scientists -- including researchers and developers -- can do to improve patient care, according to the authors.
"Those descriptions should go beyond narratives and flowcharts," they wrote. "Human language should be converted to machine-readable language using standardized data elements with specific instructions for standard inputs, relevant clinical guidelines that should be applied, and standard outputs so that inferences can be ingested by downstream HIT resources."
Standardized inputs would enable algorithms to run on the modality, on a local server, or in the cloud. Meanwhile, application programming interfaces (APIs) could be developed based on these standardized outputs to integrate AI into any system or electronic resource, according to the researchers.
Furthermore, structured use cases should include specifications for data that should be collected to inform the developer how the algorithm performs in actual clinical use, according to the researchers.

"Understanding performance variances that occur in different patient populations, across different equipment manufacturers, or using different acquisition protocols can then be used to refine the algorithm, modify the use case specifications, or inform regulatory agencies," they wrote.