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Thứ Tư, 1 tháng 3, 2017

Can Ultrasound diagnose perforated appendicitis


By Erik L. Ridley, AuntMinnie staff writer
February 24, 2017 -- Ultrasound may be highly accurate for diagnosing pediatric appendicitis, but how does it perform for differentiating between perforated and nonperforated cases? Not very well, and that can pose a challenge when considering treatment options, according to research published in the March issue of Radiology.
In a prospective study involving nearly 600 patients with pediatric appendicitis, a research team led by Dr. Jennifer Carpenter of Texas Children's Hospital in Houston found that ultrasound offered more than 90% specificity but less than 50% sensitivity in diagnosing perforated appendicitis. A decision to pursue nonsurgical management for an uncomplicated case requires accurate differentiation between perforated and nonperforated appendicitis.
"On the basis of the results of our study, the risks and costs associated with CT must be weighed against the consequences of incorrectly differentiating perforated from nonperforated appendicitis," the authors wrote. "The results of [ultrasound] examinations with respect to appendiceal perforation cannot be interpreted in isolation and need to be considered in conjunction with the clinical history, physical examination results, and laboratory data."
On the bright side, the researchers discovered a number of ultrasound findings that had a statistically significant association with perforation.
Growing interest
Interest has grown recently in pursuing nonsurgical management of acute nonperforated appendicitis. While ultrasound is the preferred modality for diagnosing pediatric appendicitis, recent studies in the literature have shown the modality has high specificity but relatively low sensitivity for providing preoperative differentiation of perforated from nonperforated cases. Prospective studies with sufficient patient numbers to calculate reliable test performance measures have not yet been conducted, though, according to the authors.
As a result, Carpenter and colleagues set out to prospectively assess ultrasound's performance in differentiating perforated and nonperforated appendicitis in a large cohort of children. They also wanted to evaluate the association between specific imaging findings and perforation (Radiology, March 2017, Vol. 282:3, pp. 835-841).
The researchers prospectively tracked all abdominal ultrasound studies that were performed at their institution for suspected pediatric appendicitis from July 1, 2013, to July 9, 2014. As per the center's protocol, grayscale and color Doppler imaging of the right lower quadrant was performed using a graded compression technique. The exams were interpreted for suspected pediatric appendicitis by one of 19 pediatric radiologists with a range of three to 40 years of postfellowship experience.
The ultrasound studies were interpreted using a structured reporting template and a risk-stratified scoring system:
  • 1: Normal appendix
  • 2: An incompletely visualized normal appendix
  • 3: A nonvisualized appendix
  • 4: Equivocal
  • 5a: Nonperforated appendicitis
  • 5b: Perforated appendicitis
The researchers then determined the diagnostic performance of studies that were designated as 5a and 5b. They also used multivariate analysis to correlate eight specific ultrasound findings with perforation: maximum appendiceal diameter, wall thickness, loss of mural stratification, hyperemia, periappendiceal fat inflammation, periappendiceal fluid, lumen contents, and appendicolith presence. For the purposes of the study, surgical diagnosis and clinical follow-up served as the reference standards.
Poor differentiation
Of the 577 patients who were diagnosed with appendicitis on ultrasound and met the study's inclusion criteria, 468 were diagnosed with nonperforated appendicitis and 109 were diagnosed with perforated appendicitis based on the scoring system. Surgical diagnosis showed, however, that there were 395 cases of nonperforated appendicitis and 182 cases of perforated appendicitis.
While ultrasound correctly identified appendicitis in 573 (99.3%) of the 577 patients, it did not perform well in differentiating between perforated and nonperforated appendicitis.
Ultrasound performance in detecting perforated appendicitis
SensitivitySpecificityPositive predictive valueNegative predictive value
Ultrasound detection of perforated appendicitis80 of 182 cases (44%)364 of 391 cases (93.1%)80 of 107 cases (74.8%)364 of 466 cases (78.1%)
"Even in a high-volume center with well-trained [ultrasound] technologists, the sensitivity for detecting perforation was low," the authors wrote.
Associations with perforation
However, the researchers did discover that six findings had a statistically significant association with perforation.
Findings associated with perforated appendicitis
FindingOdds ratiop-value
Longer duration of symptoms1.46< 0.001
Increased maximum diameter1.29< 0.001
Simple periappendiceal fluid2.080.002
Complex periappendiceal fluid18.5< 0.001
Fluid-filled lumen0.34 (a negative association)0.002
Appendicolith1.670.02

"A longer duration of symptoms and several [ultrasound] findings are significantly associated with perforation, especially the presence of complex periappendiceal fluid, as well as greater maximum appendiceal diameter and the presence of an appendicolith," the authors concluded. "Particular attention should be paid to these imaging findings when interpreting [ultrasound] studies for pediatric appendicitis, especially when nonsurgical treatment is being considered."

Thứ Hai, 27 tháng 2, 2017

COLORING ULTRASOUND

 2016 Jun 21;61(12):L20-8. doi: 10.1088/0031-9155/61/12/L20. Epub 2016 May 25.

Scattering and reflection identification in H-scan images.




Abstract

Medical ultrasound imaging scanners typically display the envelope of the reflected signal on a log scale. The properties of this image and speckle patterns from collections of scatterers have a number of well-known disadvantages. One is the inability to differentiate between different scatterers that may have fundamentally different frequency-dependent scattering cross sections. This study proposes a framework for characterizing scattering behavior and visualizing the results as color coding of the B-scan image. The methodology matches a model of pulse-echo formation from typical situations to the mathematics of Gaussian weighted Hermite functions. The results show an ability to reveal some of the information otherwise hidden in the conventional envelope display, and can be generalized to more conventional bandlimited pulse functions. This new class of images is termed H-scan where 'H' stands for 'Hermite' or 'hue' to distinguish it from conventional B-scan format.

Inspired by a 19th-century set of mathematical functions, University of Rochester researcher Kevin Parker has devised a way to incorporate new color identifications in ultrasound medical images, making it easier to differentiate fine details that currently appear as indistinguishable objects in shades of gray.
The new imaging format would be especially valuable in helping physicians interpret ultrasound images of soft tissue, including muscle, glands, and organs such as the liver.
“This has been a great goal” of ultrasound research since the 1970s, said Parker, the William F. May Professor of Engineering. The technology, described in a paper in Physics in Medicine & Biology, provides more detailed soft tissue images than other attempts, based on quantitative backscattered imaging, Parker said.
Ultrasound uses pulses of high-frequency sound waves that bounce back echoes when they strike cells or arteries. These echoes are also known as scattered waves. The bouncing back gives the ultrasound image its features. With few exceptions – such as Doppler-enhanced ultrasound imaging of blood flow – those features consist of varying shades of black, white and gray reflecting different densities.
“If you look at an ultrasound image of the liver, there are so many things in there – veins, arteries, biliary ducts, liver cells, perhaps some scar tissue – and they’re all just displayed as black and white blobs,” Parker said. “If there’s a large artery, it’s easy to see the wall and the blood inside. But at the finer levels of detail, it is often impossible to tell if you’re looking at a smaller artery or 10 little cells.”
A set of mathematical functions — devised in 1890 by the great mathematician Charles Hermite of France and rarely used in engineering — provided Parker with a way to approach this problem. He came across the functions while perusing a handbook of transforms and applications, and immediately recognized that Hermite’s functions closely approximated ultrasound pulses.
“I realized if we used these, it would make our analyses of ultrasound scattering easier,” Parker said. “So now, instead of ultrasound images showing all of these tissue structures as black and white objects, we can now classify them mathematically (by their size) and assign unique colors to unique types of scatterers.”