Abstract
Both strain elastography and shear wave elastography have been shown to have high sensitivity and specificity for characterizing breast lesions as benign or malignant. Training is important for both strain and shear wave elastography. The unique feature of benign lesions measuring smaller on elastography than B-mode imaging and malignant lesions appearing larger on elastography is an important feature for characterization of breast masses. There are several artifacts which can contain diagnostic information or alert to technique problems. Both strain and shear wave elastography continue to have improvements and new techniques will soon be available for clinical use that may provide additional diagnostic information. This paper reviews the present state of breast elastography and discusses future techniques that are not yet in clinical practice.
Keywords: Breast, Elasticity imaging techniques, Strain, Shear wave, Strain ratio, Breast neoplasms
Introduction
The use of palpation to determine the stiffness of a lesion has been used since the time of the ancient Greeks and Egyptians [1]. Stiff, non-mobile lesions of the breast have a high probability of being malignant. In vitro experiments it has been shown that the difference in stiffness of malignant breast lesions and benign breast lesions is substantial with little overlap [2]. These characteristics of malignant breast masses suggest that elastography should have a high accuracy for characterization of breast lesions.
Both strain elastography (SE) and shear wave elastography (SWE) [3] have been used to evaluate breast pathology with high sensitivity and specificity. For reasons not fully understood malignant breast lesions appear larger on elastography compared to B-mode while benign lesions appear smaller. This has allowed for a semi-quantitative method in SE to characterize breast lesions. SWE can determine the lesion stiffness and determine with high probability of a lesion is benign or malignant. On SWE, some cancers have properties that do not allow for good shear wave propagation and may be interpreted as false negative lesions. This has been overcome by the addition of a quality measure (QM) which can detect the quality of the shear waves and alert the interpreter of an erroneous measurement.
Breast elastography has now been clinically available for over 10 years and has continued to improve. We now understand its advantages and limitations. The techniques have not been widely accepted due to a substantial learning curve for performing and interpreting examinations. Improvements in the technology are being developed to overcome these limitations and may make elastography a primary method of characterization of breast lesions.
Types of Elastography
There are two types of ultrasound elastography strain (SE) and SWE [3].
SE is a qualitative technique. This technique evaluates the changes in tissues when an external force is applied. Softer tissues deform more than stiffer tissues. There are two methods of applying the stress, manual compression and release or using an acoustic radiation force impulse (ARFI) push pulse. Most vendors offer manual compression strain on their system. The systems vary significantly in the degree of stress that is needed for optimal images. Some systems require minimal compression and release while others require a moderate amount of compression and release. There is a learning curve for each system. There is a sweet spot where the algorithm is most accurate. Too little or too much compression will lead to suboptimal elastograms (Fig. 1). Most systems have a visual display of the amount of compression release applied so the operator can find the optimal technique. When using the ARFI technique for SE, which is presently only offered by one vendor, the transducer is held still with minimal pressure on the breast and the ARFI pulse initiated. The learning curve for the ARFI technique is less than that of the compression-release techniques. The systems that require minimal compression and release are easier to learn as most require just the patient breathing or heart beat to generate the compression and release. The operator just needs to hold the transducer with minimal compression on the breast. Those that require more compression and release have a more significant learning curve and have more artifacts particularly in the near field.
SWE techniques use the ARFI technology to generate shear waves that propagate perpendicular to the ARFI pulse. Therefore, ARFI technology can be used to generate both SE, measuring the axial displacement, and SWE measuring the speed of the perpendicular shear waves generated. It is important to remember that the shear waves are tracked using B-mode ultrasound so optimal B-mode images are required to obtain accurate stiffness values. The SWE technique is quantitative providing a stiffness value either by the shear wave speed in meters per second (m/sec) or converting to the Young’s modulus in kiloPascals [4]. The learning curve for SWE is less than that of SE although one important factor that affects both SE and SWE is pre-compression which is discussed in detail below [5,6].
Technique
One of the most critical factors in performing breast elastography is pre-compression [7]. When a material is compressed its stiffness increases (Fig. 2). To perform accurate breast elastography, both strain and shear wave, minimal compression of the breast must be applied. Usually some pre-compression is used in B-mode imaging as this straightens Cooper’s ligaments decreasing artifacts. In SE when significant pre-compression is applied the result is noise. While with mild to moderate pre-compression there may be alternating good images and noise. The good images are obtained in the upstroke of the compression cycle. If serial images are not similar when performing SE, the reason is either too much pre-compression or movement of the lesion in the scanning plane. A method for applying minimal pre-compression with consistency has been proposed [7].
Another important factor to obtain adequate SE images is the same imaging plane of the lesion must remain in the field of view (FOV) throughout the data acquisition. The patient should be positioned so that the transducer is perpendicular to the floor and the patient rotated so that the patient’s breathing moves the lesion within the image plane [8].
In SE, only the stiffnesses of tissue relative to each other are obtained. Therefore, it is important to have several tissues present in the FOV. For breast SE, fat (softest tissue), fibro-glandular tissue, the pectoralis muscle and the lesion should be included. In general, if the lesion is benign it will be of similar stiffness to the fibro-glandular tissues. Malignant lesions will be stiffer than all other tissues. Several color maps can be used. It is the authors opinion that the grey scale map is the easiest to detect subtle changes between tissues and identify noise. It is important recognize the color map used as some display red as stiff and other blue as stiff.
SWE provides a quantitative estimate of the tissue stiffness. For breast SWE the transducer is placed on the breast with minimal pre-compression and held still over the area of concern to obtain the measurement. Both point shear wave elastography and two-dimensional (2D)-SWE have been used to evaluate breast lesions [9]. Breast masses, especially malignancies, tend to be very heterogeneous in stiffness. Therefore, the 2D-SWE technique is preferred as the larger FOV can depict the differences in stiffness and the area of highest stiffness can be identified. Table 1 lists the important technical factors when obtaining SE and SWE breast images.
Table 1.
Strain elastography | Shear wave elastography |
---|---|
Avoid pre-compression | Avoid pre-compression |
Use optimal compression/release for system | Hold transducer still |
No out of plane motion | No out of plane motion |
Position patient so respiratory motion is in plane with imaging | Position patient so lesion is at least 5 mm deep and less than 4 cm deep |
Have a large FOV containing fat, glandular tissue, pectoralis muscle and the lesion | Monitor the stiffness of fat to confirm no pre-compression |
FOV, field of view.
Interpretation of SE
For reasons not fully understood, breast cancers appear larger on the elastogram than on the B-mode image while benign lesions appear smaller on the elastogram than the B-mode image (Fig. 3). This appears to be unique to breast imaging. Since SE is displaying relative stiffness differences, evaluating only the "color" on the elastogram does not provide adequate information for high sensitivity and specificity of characterizing breast masses. However, the size changes that occur are extremely sensitive and specific for characterizing breast masses.
There are three methods that have been proposed to interpret SE images of the breast: (1) elastogram to B-mode length ratio (E/B ratio); (2) 5-point color scale; and (3) comparing the stiffness of the lesion to the stiffness of fat (strain ratio).
E/B Ratio
The length of a lesion on elastography divided by the length of the lesion on B-mode, the E/B ratio can be used as a method to characterize breast lesions (Fig. 3). The E/B ratio has been shown to be related to the aggressiveness of the malignancy with less aggressive lesions such as mucinous cancers or ductal carcinoma in situ with ratios of 1.0 or slightly larger and more malignant lesions as invasive ductal cancer having ratios of up to 3 [10]. A cut-off value of <1 for benign lesions and ≥1.0 for malignant lesions has been used with high sensitivity and specificity for lesion characterization. Sensitivities of 98%-99% have been reported with this technique and specificities of 85%-90% [11-19]. False negative cases have been lymphomas, both primary and metastatic, which are softer lesions and have a ratio of <1.0 [20]. Common false positive cases are fat necrosis [21] and mastitis [22]. These are felt to be secondary to increased stiffness from surrounding edema which is not appreciated on B-mode imaging thus increasing stiffness and increases the apparent size on elastography.
One confounding factor using the E/B ratio is fibroadenomas and fibrocystic change have similar elastic properties to glandular tissue. When measuring the lesion on SE the measurement may also include glandular tissue resulting in a false positive finding. This can be minimized by comparing the stiffness of the lesion to glandular tissue. If the lesion has similar stiffness to glandular tissue it has a high probability of being benign. If the lesion is stiffer than surrounding tissue it has a high probability of being malignant (Fig. 4). Another confounding factor is the presence of two lesions adjacent to each other. These may appear as one lesion on the B-mode image. Close inspection of the elastogram can distinguish the two lesions. In these cases, care must be taken in performing measurements. If different results are obtained in different lesion positions, the possibility of the "lesion" being two adjacent lesions should be considered. Always use the results of the larger E/B ratio. If such a lesion is biopsied always try to biopsy the portion of the lesion that has the larger E/B ratio.
5-Point Color Scale
A 5-point color scale can be used to characterize breast masses [23]. In this method a score of 1 is given when the lesion is completely soft, a score of 2 is given if the lesion has mixed soft and stiff components, a score of 3 if the lesion is stiff and smaller than on B-mode, a score of 4 is given if the lesion is stiff and the same size as B-mode, and a score of 5 is given when the lesion is stiff and larger than on B-mode. A cut-off value between 3 and 4 is used to characterize lesions as benign or malignant. Sensitivities of 87%-93% and specificities of 83%-90% have been obtained with this technique [23-26].
Strain Ratio
SE is a qualitative technique. The exact stiffness of a tissue is not obtained in SE just its relative stiffness to other tissues in the FOV. However, we can obtain a semi-quantitative measure of stiffness by comparing the stiffness of the lesion to a reference tissue [19]. For breast we use fat as the reference tissue (Fig. 5). Most ultrasound system can calculate this by placing a region of interest (ROI) in the lesion and an ROI in fat. The system will then provide a ratio of the stiffness values. Ultrasound systems use different methods to determine the relative stain of the tissues and ratios obtained on one vendor’s equipment may not be the same as another vendor’s equipment. This measurement also requires that the same amount of stress be applied to both the lesion and the reference tissue. Therefore, the ROIs should be placed at the same depth from the transducer if possible. In some patients, especially in Asian women, there may not be reference fat tissue so normal glandular tissue can be used but the cut-off values to characterize the lesion will be different than when fat is used as the reference. When using fat as the reference tissues cut-off values of 2.3 to 4.8 have been reported to characterize breast lesions as benign or malignant [5,15-19].
Table 2 presents the results of a meta-analysis of the three methods of interpretation of breast SE [27]. The E/B method has the highest sensitivity of 96%. The highest specificity is with the E/B and 5-point color scale with values of 88% and 87%, respectively. The area under the receiver operating characteristics for the three techniques is similar with between the three techniques. The negative likelihood ratio (LRN) of the E/B technique is 0.03. With this LRN of 0.03 a lesion with a 50% pre-test probability (Breast Imaging Reporting and Data System [BI-RADS] category 4B) can be downgraded to a 2% probability (BI-RADS category 3) [28].
Table 2.
Method | Sensitivity (95% CI, %) | Specificity (95% CI, %) | LRP (95% CI) | LRN (95% CI) | SROC (95% CI) |
---|---|---|---|---|---|
E/B | 96 (94-98) | 88 (85-89) | 7.1 (4.8-10.6) | 0.03 (0-0.28) | 0.91 (0.87-0.95) |
5-Point color | 77 (76-70) | 87 (87-88) | 5.3 (4.4-6.3) | 0.24 (0.19-0.31) | 0.90 (0.88-0.92) |
Strain ratio | 87 (85-89) | 81 (79-83) | 4.8 (3.6-6.3) | 0.16 (0.11-0.23) | 0.92 (0.88-0.96) |
CI, confidence interval; LRP, likelihood ratio positive; LRN, likelihood ratio negative; SROC, schematic receiver operating characteristic curve; E/B, elastogram to B-mode length ratio.
Interpretation of SWE
Breast cancers are very heterogeneous in stiffness (Fig. 6). When performing SWE the area of highest stiffness in the lesion or surrounding 3 mm should be used to characterize the lesion [5,29]. Some breast cancers do not allow for adequate shear wave generation and may appear black (no shear wave speed calculated) or even with a low shear wave speed (due to noise) [13]. Often in the surrounding tissues high shear wave speeds are obtained. If this does not occur the possibility of a false-negative results can occur (Fig. 7). This has been over-come with the use of a quality measure. Care must be taken with pre-compression as this can also create the same appearance in a benign lesion.
In a large number of malignant lesions, the area identified on B-mode as the hypoechoic mass often does not code on SWE because a shear wave is not identified or may code with a low shear wave speed. Bai et al. [30] found that 63% of breast malignancies have this finding. Preliminary work in the evaluation of this phenomenon suggests that shear waves may not propagate as expected in some malignant lesions. Evaluation of the shear waves in these malignant lesions demonstrates significant noise that may be incorrectly interpreted as a low shear wave velocity by the algorithm. In a recent study [13], the addition of a QM in shear wave imaging of the breast can limit false negative findings (sensitivity without QM 22/46 [48%; 95% confidence interval, 33% to 63%], with QM 42/46 [91%; 95% confidence interval, 79% to 98%; P<0.001]).
There have been several papers that evaluated SWE to characterize breast lesions as malignant. The cut-off values have varied between these papers. The differences most likely occur with differences in systems as well as the amount of pre-compression used. Based on the literature the World Federation of Ultrasound in Medicine and Biology (WFUMB) used a BI-RADS like scale with shear wave speed of <2.6 m/sec (20 kPa) being benign in all studies, a shear wave speed of >2.6 m/sec (20 kPa) and <4.5 m/sec (60 kPa) as probably benign, a shear wave speed of >4.5 m/sec (60 kPa) and <5.2 m/sec (80 kPa) as probably malignant, and >5.2 m/sec (80 kPa) as highly suspicious for malignancy [5]. Each site should evaluate the most appropriate cut-off for their site and use continued monitoring to adjust the cut-off a needed.
Artifacts in SE
Bull’s eye artifact
With some vendors (Siemens Ultrasound and Philips Ultrasound) a Bull’s eye artifact occurs with simple and benign cysts [31]. This artifact has been reported to have perfect sensitivity, specificity and positive predictive value in determining pathologically proven benign cysts. When the cyst has components that are not mobile a defect in the Bull’s eye artifact is seen. With this technique complex cystic masses can be distinguished from complex cysts (Fig. 8).
Blue/green/red artifact
Some ultrasound systems have a different artifact that occurs in cysts. There is a 3-color-layering pattern of blue, green, red (with blue as stiff) identified in cystic lesions (Fig. 9). A detail study evaluating the sensitivity and specificity of this artifact has not been performed.
Sliding artifact
A soft ring or group of wavelike soft rinds around a lesion in SE indicates the lesion is moving in and out of the imaging plane while the elastogram is being obtained (Fig. 10). Maintaining the same imaging plane in the lesion during the elastogram acquisition can eliminate this artifact. This artifact can be seen with fibroadenomas or lipomas. This artifact is usually only seen with benign lesions as it requires the lesion to move separately from the surrounding tissues. In malignant lesions the lesion is usually attached to the surrounding tissue [21].
Bang artifact
In 2D-SWE if pre-compression is applied there will be a stiff area in the near field (Fig. 11). This can be minimized by not applying pre-compression. The use of ample coupling gel is helpful in eliminating this effect [21].
Worm artifact
If there is very little variability in the elastic properties of the tissues in the FOV a pattern of varying noise is seen (Fig. 12). This can occur when only one tissue is in the FOV or when significant pre-compression is applied. This artifact can be eliminated by the use of minimal pre-compression and including various tissue types in the FOV [21].
Characterization of Breast Lesions as Benign or Malignant
Performing both SE and SWE can increase diagnostic confidence and accuracy. When there are conflicting results additional evaluation should be considered and error on the side of biopsy. It is important that the appropriate cut-off values be used as they vary in the literature by technique as well as vendor.
Detailed elastography features of various benign and malignant pathologies can be found elsewhere [21]. As noted above there are a few pathologies that can lead to false positive results including fat necrosis, mastitis [22], and a small percentage of fibroadenomas. One false-negative is lymphoma [20,21].
Future Developments
Breast elastography has very high sensitivities and specificities for characterization of breast lesions. However, the learning curve of SE has limited its clinical acceptance. With SWE the learning curve is less steep but the problem of poor or no shear wave propagation in breast cancers is of concern due to possible false negative results. The development of a real-time stress map may solve some of these problems. This real-time technique displays a map which depicts the degree of applied stress. The technique will depict when uneven stress is applied (Fig. 13). It can guide where the appropriate ROIs should be placed for strain ratio.
Three-dimensional (3D) SWE has been available for some time and 3D strain may be clinically available in the near future [32,33]. It is unclear if 3D will provide improved results over 2D SWE or 2D SE. 3D does allow for visualization of the lesion in the coronal plane, ability to view the stiffness of the entire lesion, and may allow for whole breast screening. Other new techniques are becoming clinically available including vibratory SWE where a mechanical device is used to create standing shear waves which are detected with B-mode ultrasound [34]. This technique also allows for varying the frequency of the mechanical stress possible allowing for additional diagnostic information.
Opto-acoustic imaging (OA) is another technique being used to characterize breast lesions. In a large study of 1,690 patients with 1,757 masses of which 1,079 (61.4%) were benign and 678 (38.6%) were malignant, OA was able to downgrade 40.8% of benign masses [35]. The LRN was 0.094 indicates a negative examination can reduce a pre-test probability of 17.8% (low BI-RADS 4B) to a post-test probability of 2% (BI-RADS 3).
Conclusion
Both SE and SWE provide additional information on breast lesion characterization. Technique is critical. Strain has the highest sensitivity and SWE has the highest specificity. The combination of SE and SWE may increase confidence and accuracy. There is significantly increased sensitivity of SWE when a QM is added. The development of a real-time stress map which depicts the amount of stress applied on a color-coded map can aid in obtaining accurate elastograms [36]. In this technique, the color map depicts the amount of stress applied throughout the image. It can be determined if uniform stress is applied as well as identifying areas of additional stress from within the body (e.g., carotid artery pulsations). This technique can be very useful for strain ratio as both the ROI of the lesion and the reference tissue can be confirmed to have the same stress.
New techniques of vibratory SWE and OA may provide new information on characterization of breast masses. Newer techniques like the stress map will aid in obtaining more accurate elastograms.
Further studies are needed to determine exactly what we are measuring in breast elastography.
Footnotes
Research grants: Siemens Ultrasound, Philips Ultrasound, Supersonic Imagine, Canon Medical Systems, GE Ultrasound, Bracco Diagnostics. Speaker’s Bureau: Philips Ultrasound, Bracco Diagnostics, Lantheus Medical. Royalties: Thieme Publishers.
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