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Thứ Tư, 29 tháng 1, 2020

Elastography shows high reproducibility in breast lesions.

By Theresa Pablos, AuntMinnie staff writer

January 24, 2020 -- Two different ultrasound elastography techniques -- strain elastography (SE) and shear-wave elastography (SWE) -- showed high interoperator reproducibility when scanning breast lesions in a new study, published on January 21 in Ultrasound in Medicine and Biology.

Repeatability is critical to test the clinical effectiveness of imaging technologies. In the study, two experienced operators used the same probe on the same ultrasound system to test how reliably SE and SWE showed the same result when imaging breast lesions.
While SE performed slightly better for malignant lesions, both ultrasound elastography techniques demonstrated good to excellent agreement.
"Under the same operating conditions, our results indicated the excellent reproducibility of SE and SWE in assessing breast neoplasms among well-trained operators," wrote the authors, led by Dr. Lu Zhang from the Shanghai Jiaotong University School of Medicine.
Clinicians use SE and SWE to assess the stiffness of masses or tissue, but the two techniques use different methods to acquire images. While SE acquires an image by compressing or pulsing to displace tissue, SWE uses acoustic pressure to create an image of tissue stiffness. The researchers wondered whether these differences would affect interoperator reliability for benign and malignant lesions.
To find out, two blinded radiologists with more than three years of clinical experience performed breast ultrasound examinations on 91 women with pathologically confirmed breast lesions. The researchers excluded women with cystic or mixed lesions, lesions with coarse calcifications, and tumors that exceeded elastography's region of interest.
The radiologists acquired two SE images (nodule outline drawn and not drawn) and three SWE images (quality control, nodule outline drawn, and nodule outline not drawn) using the Resona 7 ultrasound system (Mindray Medical) with an L11-3 probe. An image was deemed satisfactory when the quality control scale at the bottom of the image reached a stable stage.
Diagnostic performance of SE and SWE
 SensitivitySpecificity
 Operator 1Operator 2Operator 1Operator 2
Elastic score (SE)58%59%95%88%
Strain ratio (SE)71%57%78%92%
Mean elastic modulus (SWE)58%45%78%93%
Max elastic modulus (SWE)71%52%88%100%
Minimum elastic modulus (SWE)48%19%80%95%
Standard deviation of elastic modulus (SWE)65%74%87%73%
Both SE and SWE showed satisfactory repeatability, the researchers found. For SE, operators' evaluation results showed no significant difference. For SWE, all scores except for minimum elastic modulus showed promising repeatability.
In addition, specificities were higher than sensitivities for both types of ultrasound, and both SE and SWE performed well on all types of lesions.
"It is generally believed that the reproducibility of SE is lower than that of SWE," the authors wrote. "However, our study found that the reproducibility of both SE and SWE breast lesions is very satisfactory except for [minimum elastic modulus of SWE], which may explain the very similar diagnostic performance of SE and SWE by the two operators."
One limitation of the study was its small sample size, and the researchers urged future, larger studies to confirm their findings. In addition, SE and SWE should still be considered adjunct modalities to B-mode ultrasound because of the high specificity and low sensitivity findings.
"In our study, SE and SWE had high specificity but relatively low sensitivity, which reminds us not to overestimate the value of elastography in the diagnosis of breast nodules," they wrote.
"We still need to rely on B-mode ultrasound with elastography as an auxiliary model."

Thứ Năm, 23 tháng 1, 2020

2 US features predict cancer recurrence risk.

By Theresa Pablos, AuntMinnie staff writer
January 23, 2020 -- Machine learning might one day be able to tell which breast cancer patients will benefit from additional genetic testing. In a recent study, researchers used natural language processing to identify key features from ultrasound reports associated with cancer recurrence risk.
The study included hundreds of women with breast cancer who had previously undergone genetic tests, also known as transcriptomic tests, to determine their risk of cancer recurrence. After using a script to parse the women's BI-RADS ultrasound findings, the researchers found two key features that may identify when a patient could benefit from additional testing.
"Ultrasound findings, notably the 'retrotumoral' and 'margins' features, if abnormal, may help provide justification to obtain one of the transcriptomic tests," wrote the authors, led by Dr. Neema Jamshidi, PhD, a diagnostic radiologist from the University of California, Los Angeles (UCLA) David Geffen School of Medicine (Plos One, January 10, 2020). "Future multi-institutional prospective studies will be important in determining if these observations persist in larger cohorts."
The researchers acquired data from the electronic health records of 219 patients with breast cancer at the Harbor-UCLA Medical Center between April 2008 and January 2013. All patients had an ultrasound scan performed when they were first diagnosed with breast cancer. They also all had either an Oncotype DX or MammaPrint test to identify their risk of cancer recurrence.
The researchers coded a custom script to analyze the BI-RADS findings from the descriptive terminology from the women's initial ultrasound scans. Their program searched the terminology and attempted to find words or phrases associated with cancer reoccurrence risk.
In particular, three sonographic features -- "margins," "retrotumoral," and "internal echoes" -- were correlated with the genetic test results. The features "margins" and "retrotumoral" appeared in both the MammaPrint and Oncotype DX classification trees, while "internal echoes" only appeared in the MammaPrint classification tree.
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The researchers hope future studies use more patients to determine whether atypical findings related to "margins" and "retrotumoral" features can truly help determine which patients would benefit from genetic testing. They also hope studies will evaluate other types of genetic tests.