Abstract
Background
Ultrasonography (US) plays a crucial role in the diagnostic management of thyroid nodules, but its widespread use in clinical practice might generate heterogeneity in ultrasound reports.
Objectives
The aims of the study were to propose (a) a standardized lexicon for description of thyroid nodules in order to reduce US reports of interobserver variability and (b) a US classification system of suspicion for thyroid nodules in order to promote a uniform management of thyroid nodules.
Methods
Relevant published articles were identified by searching MEDLINE at PubMed combining the following search terms: ultrasonography, thyroid, nodule, malignancy, carcinoma, and classification system. Results were supplemented with our data and experience.
Results
A standardized US report should always document position, extracapsular relationships, number, and the following characteristics of each thyroid lesion: shape, internal content, echogenicity, echotexture, presence of calcifications, margins, vascularity, and size. Combining the previous US features, each thyroid nodule can be tentatively classified as: malignant, suspicious for malignancy, borderline, probably benign, and benign.
Conclusions
We propose a standardized US report and a tentative US classification system that may become helpful for endocrinologists dealing with thyroid nodules in their clinical practice. The proposed classification does not allow to bypass the required cytological confirmation, but may become useful in identifying the lesions with a lower risk of neoplasm.
Key Words : Thyroid, Ultrasonography, Ultrasound, Nodule, Carcinoma, Tumor, Malignancy, Elastography
Introduction
Nodular thyroid disease is a common finding, especially in females and in the elderly population. Thyroid nodules are found in 5% of the general population with the use of palpation [1], but high-resolution ultrasonography (US) allows their detections in up to 67% of subjects [2] and the number of discovered thyroid nodules is increasing over time. Malignancy comprises approximately 5% of all thyroid nodules [3] and its incidence is increasing all over the world in recent years [4]. Therefore, the correct identification of nodules that are malignant and avoidance of unnecessary procedures for those that are benign represent the challenge for endocrinologists.
Cytological examination of material obtained by fine-needle cytology (FNC), due to its high sensitivity and specificity, is still the best single test for differentiating benign from malignant thyroid lesions [5]. However, there is a recognized 5% false-negative rate [6] and, as compared with thyroid US, FNC has the disadvantage of being an invasive procedure. Moreover, thyroid US gives immediate information about the degree of suspicion of thyroid lesions. Originally, thyroid US was used almost exclusively to differentiate between the cystic and solid nature of thyroid lesions and to measure their size [7]. Afterwards, it was suggested that US could help identify characteristics suspicious for malignancy of thyroid tissue [8], and only recently, thyroid US has been widely recognized as the first-line diagnostic procedure for characterizing thyroid lesions [9].
Many studies had focused on how US can help distinguish benign and malignant lesions, and different guidelines and recommendations for the US management of thyroid nodules were proposed by different organizations [10,11]. Unfortunately, even if there is an agreement on the central role of US in nodule work-up, there has been no universal consensus on a standardized terminology for thyroid US.
The need of uniform and standardized US reports is nowadays even greater due to the large number of physicians who perform thyroid US. In fact, with increased accessibility of high-resolution, portable US machines, thyroid US is being performed more commonly by non-radiologist physicians, e.g. surgeons, general physicians, and most of all endocrinologists. The latter, with their extensive knowledge about thyroid physiology and pathophysiology, are ideally suited to becoming more skilled in the use of thyroid US.
Therefore, this work is addressed to skilled physicians (endocrinologists and/or US operators) working in highly specialized centers for the management of thyroid nodules and was aimed to: (a) propose a universal standardized terminology for the description of thyroid nodules; (b) reduce US report variability between endocrinologists performing thyroid US; (c) provide endocrinologists not directly performing US, the needed terminology background for a correct interpretation and management of US reports, and (d) propose a US classification system of suspicion for thyroid malignancy to be validated in a prospective trial.
Methods
A literature search of English language journal articles in the MEDLINE database (PubMed) was undertaken. Search terms included: ultrasonography, thyroid, nodule, malignancy, carcinoma, and classification system. Consensus statements and recommendations for the US management of thyroid nodules, based on review of evidence and expert opinions, were also reviewed. We supplemented the search with records from personal files and our experience.
US Definition and Description of Thyroid Nodule
The echotexture of the normal thyroid is usually homogeneous and bright. A thyroid nodule is defined as a discrete lesion within the thyroid gland that is ultrasonographically distinct from the surrounding thyroid parenchyma [12]. A nodule usually differs from a pseudonodule for being always clearly distinguishable in both transverse and longitudinal planes.
In our opinion, a standardized and systematic description of US features of thyroid lesions makes the reports objective and more comparable over time. Moreover, a systematic report reduces the possibility of missing the description of some important thyroid lesions features. Therefore, if possible, US reports should always document position, extracapsular relationships, number and the following characteristics of each lesion: shape, internal content, echogenicity, echotexture, presence of calcifications, margins, vascularity, hardness, and size.
Position
The exact location of each nodule within the thyroid gland should always be described in US reports. Thyroid US usually permits a clear identification of an isthmus and of two lobes. Schematically, each thyroid lobe can be virtually divided into three portions: one third superior, one third medium, one third inferior and each portion can be further subdivided into two sub-portions: anterior and posterior. Isthmus can be divided into: right parahistmic, left parahistmic and central part. Any thyroid lesion can be described as approximately located in one of these sections. Seldom, thyroid nodules are located in the pyramidal lobe and more rarely they can be ectopic. Careful attention should be placed on nodules placed near the thyroid capsule. In this case, description of possible deformation or infiltration of the hyperechoic thyroid capsule and of invasion of adjacent structures is always recommended (see Extracapsular Relationships). Nodules localized in the posterior part of the two thirds inferior of thyroid lobes, close to the thyroid capsule, should be differentiated from parathyroid adenomas.
The systematic description of the thyroid nodule position is useful exclusively in monitoring the lesion during the follow-up. In fact, although medullary thyroid carcinoma is more frequently placed between the one third superior and the two thirds inferior of thyroid lobes [13], the localization of a thyroid lesion has no diagnostic importance in distinguishing between benign and malignant nodules.
Extracapsular Relationships
Extracapsular relationships of nodules placed near the thyroid capsule should be carefully described. Operators should observe whether the nodule deforms, infiltrates or even crosses the thyroid capsule invading the nearby structures. Therefore, it is important to distinguish simple deformation from infiltration of thyroid capsule, and to describe a possible invasion of the extracapsular areas for a presurgical US tumor staging (T of TNM) of thyroid cancer.
The thyroid capsule may be simply deformed by nodules without interruption of its hyperechogenicity (fig. 1.1). Deformation of the capsule does not indicate malignancy but it can be useful in assessing possible compression of adjacent structures. Infiltration of the thyroid capsule, instead, is defined as an interruption of its hyperechogenicity at the level of the tumor (fig. 1.2). This finding is always indicative of malignancy but does not necessarily mean an invasion of surrounding structures. In our experience, in fact, a clear US interruption of the capsule does not always correspond to extrathyroidal extension (T3) at postsurgical histological evaluation, indicating that US probably may overestimate tumor staging (T) in the TNM classification. Finally, invasion of the adjacent structures by invasive thyroid cancers is observed only occasionally (fig. 1.3). In these cases, the thyroid capsule is not only interrupted at the level of the tumor, but tumoral tissue is seen to penetrate into surrounding strap muscles or into close structures, e.g. trachea, esophagus, thyroid cartilage, and jugular vein. Extracapsular extension more frequently identified anaplastic carcinomas, thyroid lymphomas or intrathyroidal metastasis. On the contrary, extracapsular extension is less common in differentiated thyroid carcinoma in which associated metastatic lymphadenopathy is the most frequent finding [14].
Number
Thyroid goiters may contain several nodules and in clinical practice endocrinologists often wonder if listing and describing all thyroid nodules, even those most likely benign, is really always necessary. It has been shown that the risk of malignancy in a multinodular thyroid gland compared to a gland with a solitary thyroid nodule is similar [3]. It follows that careful attention should be placed on all discovered thyroid nodules. Therefore, ideally, each nodule should be listed and analytically described. In clinical practice, instead, two exceptions may be granted when several thyroid lesions are present. First, when there are coalescent thyroid lesions not clearly distinguishable and a detailed characterization of each nodule is impossible to perform. Second, in case of clearly distinguishable thyroid lesions, with benign or probably benign features, when a detailed description of all nodules can result wearisome or may divert from more suspicious lesions. In these cases we suggest endocrinologists performing US to particularly focus their attention on lesions classifiable as malignant, suspicious for malignancy or borderline (see below) that should always be described in detail. The remaining lesions classifiable as benign or probably benign (see below) should be only listed indicating exclusively their position and size, but avoiding their overdetailed description. This approach is aimed to obtain clear and streamlined reports but containing all the information on the most suspicious lesions. In all other situations, a careful notation and description of each thyroid nodule is always recommended.
Shape
The shape of a nodule has gained diagnostic importance for the differentiation of benign and malignant nodules only recently [15]. Based on their shape, thyroid nodules can be classified as: ovoid (when the anteroposterior diameter of a nodule is less than its transverse diameter on a transverse or longitudinal plane) (fig. 1.1), round (when the anteroposterior diameter of a nodule is equal to its transverse diameter on a transverse or longitudinal plane) (fig. 1.4), taller-than-wide (when the anteroposterior diameter of a nodule is longer than its transverse diameter on a transverse or longitudinal plane) (fig. 1.5) or irregular (when a nodule is neither ovoid/round nor taller-than-wide) (fig. 1.6).
Both ovoid shape and round shape are reported in benign lesions but they do not obviously exclude malignancy. Instead, a taller-than-wide shape, although in which plane the ratio should be calculated is still a matter of debate, is reported to be associated with thyroid malignancy [15,16,17]. These findings reflect that malignant nodules grow across the normal tissue plane in a centrifugal and antigravitational way, in contrast to benign nodules usually growing along the tissue plane in a parallel fashion [15,18,19]. A nodule with irregular shape may be a malignant lesion, but irregular shape can also be noticed in benign conditions, such as focal thyroiditis [20].
Internal Content
Usually, internal content of thyroid nodules can be easily detected by US and it should always be reported because it is generally helpful in their differential diagnosis. The internal content of thyroid nodules can be classified following terminology based on the ratio of the cystic portion to the solid portion of the lesion: solid (liquid portion ≤10% of the nodule volume) (fig. 1.7), mixed predominantly solid (liquid portion >10% but ≤50% of the nodule volume) (fig. 1.8), mixed predominantly cystic (liquid portion >50% but ≤90% of the nodule volume) (fig. 1.9), cystic (liquid portion >90% of the nodule volume) (fig. 1.10), and spongiform (more than half of the nodule volume characterized by aggregation of multiple microcystic areas (<5 mm) separated by thin septations that are interspersed within solid tissue) (fig. 1.11) [20].
Cystic nodules can be described as pure cysts (if without internal septa) or as polyconcamerated cysts (if with one or more internal septa); predominantly solid or predominantly cystic nodule, instead, can also be called complex nodules. In general, pure cystic lesions are always thought to be benign; on the contrary, polyconcamerated cysts and complex nodules may harbor a risk of malignancy [21]. In pure cystic lesions, fluid usually appears homogeneously anechoic, with through transmission of sound waves and posterior acoustic enhancement. It usually consists of colloid and sometimes the sound wave interaction with the condensed colloid proteins may result in bright hyperechoic reverberation artifacts (i.e. comet tails) that may be useful in distinguishing the nature of the fluid [22]. A single comet tail artifact within a small cyst is usually called ‘cat's eye artifact’[22]. Sometimes, the content of some cystic nodules may appear less homogeneous due to its major density. The fluid content should be described as having the ‘snow falls pattern’ when within it, multiple faint hyperechoic spots with brownian motion are present. In complex nodules, instead, the fluid component may also be the result of degeneration or hemorrhage. In these cases, it may change over time as the hematoma resolves, appearing isoechoic or hypoechoic, sometimes raising doubt as to whether the internal content is liquid or solid. Absence of blood flow is usually, but not always, helpful in this distinction. In the presence of internal solid components, distinguishing internal debris from viable tissue, which may present the same gray-scale imaging, is very important. In fact, the first are usually the result of organization processes, are always benign and should not be aspirated for diagnosis. On the contrary, the solid component of complex nodules composed of viable tissues may harbor a 3% risk of malignancy [21] and therefore they require more attention. Malignant US features of the solid component of complex nodules reported by literature include: an eccentric configuration, microlobulated or irregular free margins, microcalcifications within a solid component, perinodular infiltration, and a centripetal vascularity in the pedicle [23,24].
Finally, a particular mention for the spongiform pattern. It usually appears finely inhomogeneous and it is always found in benign hyperplastic nodules. A spongiform nodule may relay the overall impression of iso- to hyperechogenicity, but it must be distinguished from iso- or hyperechoic complex nodules with isolated discrete cystic areas, because the first are benign and the latter may be malignant. Sometimes, spongiform nodules may also have hyperechoic foci (fig. 1.11) that may be confused with microcalcifications. Nevertheless, while in spongiform nodules hyperechoic foci are associated with the septations or in back wall of the small internal cystic spaces, the real microcalcifications, instead, are located within the solid stroma itself.
Echogenicity
Echogenicity is another important feature to be analyzed in thyroid nodules. The normal thyroid tissue is homogeneously hyperechoic and brighter than the surrounding muscles. Although the parenchymal echogenicity of thyroid glands can vary greatly among individuals, the echogenicity of a thyroid nodule should always be referred to the brightness of its solid component in comparison with the thyroid parenchyma [15,20]. When the solid component of a nodule presents different degrees of echogenicity, the overall nodular echogenicity should be defined by that of the majority of the nodule.
Based on echogenicity a thyroid lesion can be classified as: markedly hypoechoic (nodule hypoechoic relative to the adjacent strap muscles) (fig. 1.5), hypoechoic (nodule hypoechoic relative to the thyroid parenchyma) (fig. 1.12), isoechoic (nodule with the same echogenicity as that of the thyroid parenchyma) (fig. 1.7), hyperechoic (nodule more echoic than thyroid parenchyma) (fig. 1.13), and anechoic (in cystic lesions with fluid content with through transmission of sound waves) (fig. 1.10).
Nodule echogenicity may be challenging to be classified in two situations: (a) in complex nodules in which the cystic area is not clearly distinct from the solid area, and (b) in some nodules when extranodular thyroid tissue is affected by Hashimoto's thyroiditis.
Pure cysts are always benign and appear anechoic. Hypoechogenicity, instead, is seldom reported in thyroid malignancies. Hypoechogenicity is thought to represent a cellular microfollicular histologic milieu, whereas the ultrasound appearance of macrofollicular benign nodules is usually isoechoic or hyperechoic [25]. Unfortunately, hypoechogenicity may also represent a typical feature of benign nodular fibrosis [26] and in fact almost a third of benign thyroid lesions are hypoechoic too. On the contrary, marked hypoechogenicity seems to be highly specific for malignant nodules [15,20]. It follows that particular attention should be placed on markedly hypoechoic lesions.
Echotexture
Nodule echotexture plays a marginal role in differential diagnosis of thyroid lesions. Based on echotexture, nodules should be classified as homogeneous (fig. 1.7), finely inhomogeneous (fig. 1.11) and markedly inhomogeneous (fig. 1.14).
Although homogeneous nodules are often benign, even malignancy cannot be excluded. Similarly, inhomogeneous patterns (both finely and markedly), although more often observed in malignant nodules, are not exclusive of malignancies being observable in benign lesions too. For these reasons, the echotexture is widely recognized as not being a useful finding in distinguishing malignant from benign lesions [20].
Due to the spread of thermal ablation techniques for reducing the size of benign thyroid nodules (e.g. laser, radiofrequency) [27], endocrinologists may have to deal with US evaluation of previously thermal-treated thyroid lesions. Therefore, these nodules deserve a particular mention because they appear markedly inhomogeneous and for their peculiar US features that may change over time. In fact, immediately after the procedure, hyperechoic images due to tissue infiltration by gas may be noted. Peculiar cavitations, surrounded by charring, can be also noticed as result of positioning of fibers, especially in laser-treated lesions. Months after the treatment, thermal-ablated nodules are usually even more inhomogeneous for the presence of avascular hypoechoic necrotic areas and scars, as a normal result of thermal ablation (fig. 1.15). Scars appear as hyperechoic areas that can be confused with coarse calcifications, which differ because of the lack of posterior acoustic shadowing. These nodules should not be confused with malignancy [28], but their features should always be reported in follow-up US reports in order to monitor changes in their characteristics.
Presence of Calcifications
Calcifications may occur in up to a third of thyroid, both benign and malignant, nodules, and are defined as prominent echogenic foci on US, with or without posterior shadowing. Calcifications should be classified in: microcalcifications, macrocalcifications and peripheral rim calcifications (also called ‘eggshell’ calcifications). The type of calcification should always be specified in the US reports.
Microcalcifications appear as small (<1 mm) intranodular punctate hyperechoic spots without posterior acoustic shadowing (fig. 1.16). Sometimes distinguishing microcalcifications from a benign punctuate echogenic foci may be difficult (see above). Reverberation artifacts due to colloid materials, i.e. comet tails, can be helpful in differential diagnosis. Microcalcifications are thought to represent the calcified psammoma bodies of papillary thyroid cancer and are highly specific for thyroid cancer. They are usually within malignant well-defined nodular thyroid lesions, but sometimes thyroid papillary carcinomas may also appear as a shaded area of grouped microcalcifications with no evidence of a clear nodular lesion. Microcalcifications should be differentiated from the microfibrotic hyperintense lesions and dense colloid microdeposits.
Macrocalcifications are coarse and large calcifications (>1 mm) that cause posterior acoustic shadowing (fig. 1.17). They occur most frequently in older patients or in ‘old’ degenerating benign nodules, representing perhaps a possible pathologic evolution of some thyroid lesions [29]. However, macrocalcifications, especially if associated with microcalcifications, within a hypoechoic nodule, may be worrisome for malignancy.
Peripheral rim calcifications (‘eggshell’) may be complete or incomplete (fig. 1.18). Peripheral eggshell calcifications surround the thyroid lesion and are thought to indicate a benign nodule. However, this has also been reported in malignant nodules [30], especially in cases of incomplete calcification. In fact, the interruption of the rim calcification may indicate probable invasion by the cancer. Therefore, outage in peripheral rim calcification should always be considered a worrisome finding [20,31].
Margins
The margins of a thyroid nodule should be described on the basis of their definition and their regularity. It follows that thyroid nodule edges may appear: well defined (when there is a clear demarcation with normal thyroid tissue) (fig. 1.7) or ill defined (lack of clear demarcation with normal thyroid parenchyma) (fig. 1.19), regular (without irregularities and imperfections) (fig. 1.11) or irregular (with edges and irregularities), the latter further divided into spiculated (presence of one or more spiculations on its surface) (fig. 1.20) and microlobulated (presence of one or more smooth lobules on its surface) (fig. 1.21).
Ill-defined and irregular, both spiculated and microlobulated, margins are usually reported to be suggestive of malignancy [14,15]. In fact, malignant nodules may present ill-defined margins due to the infiltration of the surrounding thyroidal parenchyma. Therefore, irregular margins, and most of all microlobulated appearance, are findings highly suggestive of malignancy [20]. Unfortunately, this finding is also reported in benign conditions such as thyroiditis [20] or in some benign thyroid nodules incompletely encapsulated that can merge with normal tissue [32].
The halo sign is another US pattern that should be described if present. The halo sign appears as a hypoanechoic ring that may completely or incompletely surround a nodule. It is comprised of a pseudocapsule formed by fibrous connective tissue, compressed thyroid tissue and chronic inflammatory change [33]. It can be a regular thin halo (fig. 1.7) or an irregular thick halo (fig. 1.22). The thin regular halo, which demonstrates the nodule's peripheral vascularity on color Doppler (CD) or power Doppler (PD), is a finding usually suggestive of benign lesion [34], but more than a half of benign nodules lack a halo [33]. On the other hand, even some papillary carcinomas may have a halo [34,35,36]. The thick irregular halo, instead, is usually avascular, and may signify the fibrous capsule surrounding a neoplastic growth. Therefore, a thick irregular halo may be suggestive of capsular invasion by a cancer and it is worthy of special attention [37].
Unfortunately, the definition of nodules' margins is probably the most difficult US feature to be described and it is highly operator-dependent. This finding explains the high interobserver variability in the definition of margins reported by several studies [38], but the use of CD and/or PD and the increase in expertise of endocrinologists dedicated to thyroid US might probably reduce this drawback.
Vascularity
In nodular goiter, Doppler imaging is used predominantly to assess the vascularity of nodular tissue. The leading use is to help determine the likelihood of a thyroid nodule being malignant. Vascularity of a thyroid lesion can be evaluated with CD and/or PD imaging. Based upon the Doppler effect, CD is a measure of the directional component of the velocity of blood moving through the sample volume. It provides information regarding both direction and velocity of blood flow within the nodule, but its shortcomings include the interference by noise and angle dependence. PD analysis, instead, indicates the total amount of flow present, without information about velocity. PD is more sensitive for detection of flow in small vessels that would not be detected by CD. Furthermore, PD imaging is relatively independent of the angle of the probe and has less noise interference than CD. Therefore, PD should be the preferred imaging technique for assessing the vascularity of thyroid nodules [37]. CD and PD are frequently used to differentiate between solid thyroid nodules and avascular structures such as a blood clots or debris [10].
Several numeric flow-pattern classifications have been proposed but, in our opinion, they can be confounding. Indeed, we suggest a simply descriptive classification of nodule vascularity: absent (no or scarce blood flow); perinodular (vascular predominance in the periphery of the nodule) (fig. 1.23), further divided into complete or partial; intranodular (vascular predominance within the nodule), and peri-intranodular (flow in the periphery and within the nodule). The last two can be further divided by PD in two subtypes: (a) moderate: moderate blood flow with homogeneous structure and regular caliber of blood vessels (fig. 1.24, 1.25), and (b) increased: high blood flow with anarchical structure with tortuous caliber of vessels (fig. 1.26, 1.27).
Most benign nodules have absent or perinodular flow, but the new powerful US machines are now effective in also highlighting moderate blood flow even in benign lesions [14,39]. Therefore, presence of vascularity does not necessarily indicate a tumor. Most thyroid cancers, instead, present increased vascularity in comparison with surrounding parenchyma, but the specificity of this character is low [37]. In fact, different investigators have used PD in attempts to determine the correlation between nodule vascularity and malignant involvement, but the results have been inconsistent [37]. The predictive value of blood flow for cancer is reported to be stronger only for nodules with cytology of follicular lesions in which the absence of vascularity reduces probability of malignancy from the generally accepted 20% for unselected ones to only 3% [40,41].
In conclusion, based on literature [14,39] and on our experience, nodular vascularity may also be present in up to half of benign nodules. We therefore suggest to carefully interpret CD and PD flow patterns along with other US characteristics as well as clinical features. We do not recommend using CD for differential diagnosis of thyroid cancer but only to differentiate between solid thyroid nodules and avascular structures [10].
Size
Thyroid nodules should be measured in all their three diameters, i.e. anteroposterior, transverse, and longitudinal. When measuring the nodule size, it is advisable to locate the calipers at the outer margin of the halo of the nodule [10].
The risk of malignancy does not change with the size of the nodule [42,43] that should be precisely documented only for the purpose of follow-up and not for distinguishing a malignant lesion from a benign nodule.
There has been no clear consensus on the definition of nodule growth. We recommend the definition of nodule growth as a 20% increase in the nodule diameter (with a minimum increase in two dimensions of at least 2 mm) or a 50% increase in the nodule volume, according to the American Thyroid Association guidelines [3]. The previously mentioned criteria of nodular growth permits to overcome the reported interobserver's variability allowing the determination of true change in size [38,44].
Cystic nodules usually show slower growth than solid nodules [45]. Moreover, although malignancy is believed to grow more frequently than benignancy, it should be remembered that the majority of benign thyroid nodules also grow with time [46,47]. Therefore, a growing nodule does not necessarily indicate a tumor. On the contrary, differentiated thyroid cancers may remain unchanged in size for several years. Finally, a very rapid growth of a thyroid nodule should raise the suspicion of anaplastic thyroid carcinoma, thyroid lymphoma, or medullary thyroid carcinoma [48].
Elastosonography: Another Potential Parameter
Thyroid US is widely recognized as the first-line diagnostic procedure for characterizing thyroid lesions [9]. Nevertheless, sometimes, thyroid nodules may require a re-evaluation by second-level sonographers for better diagnostic characterization. In second-level centers, in fact, aside from clinicians particularly skilled in thyroid US, there are modern ultrasound machines equipped with software specifically developed for ultrasound research. It follows that in these centers it may be possible to obtain adjunctive information on nodule features. Thyroid nodule hardness, for example, is another feature that could be evaluated. Elastosonography (US-E) provides an estimation of tissue stiffness [49,50]. Malignant lesions are often characterized by greater stiffness than normal tissue [51], and US-E has been proposed to differentiate cancers from benign thyroid lesions. Results of recent studies seem to confirm US-E as a useful non-invasive tool for differential diagnosis [52,53,54,55,56,57], although, in our experience and as recently reported by literature [58], it seems to have lower sensitivity and specificity than that previously reported by some authors [53,55,59]. US-E may also play a role in differential diagnosis of indeterminate lesions [60] and in distinguishing nodules from pseudonodules in thyroiditis [61]. Unfortunately, US-E cannot be performed on partially cystic, calcific or coalescent nodules and its results should be interpreted with caution in some selected patient categories [62].
Many US machines with different software performing US-E are in commerce at the moment and each one presents peculiar characteristics and mode of use. In general, the US-E technique combines anatomic B-mode and elasticity images. The US-E elastogram is usually displayed over the B-mode image in a color scale depending on the magnitude of strain, usually red (soft tissue), green (intermediate degree of stiffness), and blue (hard, anelastic tissue) (fig. 1.28). Based on the overall pattern, the nodules can be immediately classified into different classes of hardness, hard being lesions more suspicious for thyroid cancer. This classification may be affected by a certain degree of subjectivity in assigning the grade of elasticity. To reduce this variability, classifications based on more objective numeric scores have been studied [63,64,65]. Unfortunately, at the moment, the proposed objective analyses are still too elaborate and time-consuming and also require further scientific confirmations. Moreover, it should be remembered that US-E software is not sufficiently widespread and therefore cannot be performed routinely yet.
In conclusion, US-E is a promising tool in the evaluation of thyroid nodules. More objective and immediate parameters of hardness are needed to definitely improve the diagnostic accuracy of this technique.
US Classification System
In some second-level centers, some ultrasonographers use a US classification systems for differentiating thyroid nodules [66,67] as no single US feature of thyroid nodules retains a sufficient predictive value for the suspicion diagnosis of thyroid cancer. Some researchers have therefore proposed using a combination of features in order to improve the US sensitivity and specificity in this field [14,15,66,67]. Nevertheless, when multiple patterns suggestive of malignancy are simultaneously present in a nodule, the specificity increases, but the sensitivity becomes unacceptably low [14]. It follows that a combination of features can be used only to stratify the risk. Some authors have evaluated the diagnostic accuracy of the combination of different US features and have proposed different US classification systems for differentiating thyroid nodules [68,69].
In our opinion, a standardized US classification system, although not achieving the required diagnostic certainty, may improve the clinical thyroid nodule management of endocrinologists dealing with this finding. In fact, a standardized US classification system (a) may reduce differences in the risk evaluation of a thyroid nodule by physicians not directly performing US, (b) may better lead the choice of the nodules to be aspirated or to be followed up with more attention, and (c) may facilitate data comparison in scientific studies.
Combining current data of literature [68,69] with our experience, we designed a US classification system of five categories based on thyroid nodule US characteristics and currently used in our center (table 1). Nodular US features are divided into: US features of malignancy including: marked hypoechogenicity, spiculated margins, microlobulated margins, microcalcifications, a taller-than-wide shape, perithyroidal infiltration, perithyroidal invasion, and associated metastatic lymphadenopathy; borderline US features including: hypoechogenicity, irregular shape, ill-defined margins, irregular thick halo, increased intranodular vascularity, increased peri-intranodular vascularity, macrocalcifications, and partially interrupted rim calcifications, and US features of benignity including: ovoid shape, round shape, isoechogenicity, hyperechogenicity, well-defined margins, regular margins, regular thin halo, perinodular vascularity, spongiform appearance and pure cystic lesion.
Table 1.
Malignant US features (US-Mal) | Borderline US features (US-Bor) | Benign US features (US-Ben) |
---|---|---|
Marked hypoechogenicity | Hypoechogenicity | Ovoid shape |
Spiculated margins | Irregular shape | Round shape |
Microlobulated margins | Ill-defined margins | Isoechogenicity |
Microcalcifications | Irregular thick halo | Hyperechogenicity |
Taller-than-wide shape | Increased intranodular flow | Well-defined margins |
Perithyroidal infiltration | Increased peri-intranodular flow | Regular margins |
Perithyroidal invasion | Macrocalcifications | Regular thin halo |
Metastatic lymphadenopathy | Interrupted rim calcifications | Perinodular vascularity |
Spongiform appearance | ||
Pure cystic lesion |
1 = Malignant: ≥3 US-Mal (regardless of the existence of US-Bor or US-Ben); 2 = Suspicious for malignancy: ≤2 US-Mal (regardless of the existence of US-Bor or US-Ben); 3 = Borderline: ≥1 US-Bor without US-Mal (regardless of the presence US-Ben); 4 = Probably benign: ≥2 US-Ben (except spongiform appearance and pure cystic lesion), with no US-Mal, and/or US-Bor; 5 = Benign: spongiform nodules, pure cystic lesions, without US-Mal and/or US-Bor.
Therefore, by combining the previous US features, each thyroid nodule can be tentatively classified as follows: (1) Malignant: three or more US characteristics of malignancy regardless of the existence of borderline or benign US features. In nodules classified as malignant the possibility of a benign lesion can be reasonably ruled out. (2) Suspicious for malignancy: less than three US characteristics for malignancy regardless of the existence of borderline or benign US features. In this category the risk of malignancy is high, but the possibility of a benign lesion cannot be excluded. (3) Borderline: one or more borderline US features without US characteristics suggesting malignancy regardless of the existence of benign US patterns. This category includes most of all benign nodules but also malignant nodules. (4) Probably benign: two or more US characteristics that suggest a benign nodule (except spongiform appearance and pure cystic lesion), with no malignancy or borderline US features. Nodules belonging to this category have a low risk of malignancy. (5) Benign: nodules with a spongiform appearance or pure cystic lesions, with no malignancy or borderline US features. In lesions of this category the possibility of a malignant lesion can be reasonably ruled out.
Thyroid US Limits
Thyroid US presents some limitations. First of all, US is an observer-dependent method. Interobserver differences are reported, particularly on descriptions of echogenicity and border features of thyroid nodules [38]. Second, with the increased accessibility of high-resolution US machines, thyroid ultrasound is being performed more commonly by physicians different from radiologists (e.g. endocrinologists, surgeons, general physicians) resulting in a further increase of the variability in US reports. An adequate learning curve is advisable to obtain more uniformity in US thyroid execution and reporting, but no studies have yet examined it for non-radiologist physicians. US variability is further increased by the lack of a unique, standardized lexicon for the characterization of thyroid nodules. Technical limits of thyroid US are represented by thyroid nodules extending into substernal, retroclavicular, intrathoracic or retrotracheal locations that may not be easily imaged with US. Finally, although thyroid US has the advantage of being a non-invasive procedure and of giving immediate information about the degree of suspicion of a thyroid lesion, no single sonographic feature or combinations of features are adequately sensitive to identify all malignant nodules. It follows that FNC is required for ultimate diagnosis in any case.
Conclusions
Thyroid US is the major diagnostic modality for evaluation of thyroid lesions. Nevertheless, there is no clear consensus on the standardized terminology to be used in thyroid nodule US reports. Moreover, a univocal US classification system for differential diagnosis of thyroid lesions is still lacking.
An analytic approach in thyroid nodule US reports is now even more desirable because of the large number of physicians who actually perform US and the increasing number of detected thyroid lesions. The proposed approach may be particularly useful both for clinicians performing and not directly performing thyroid US in immediately and better identifying the nodules (those classified as borderline, suspicious of malignancy or malignant) worthy of further investigations (i.e. fine-needle aspiration and cytology), and distinguishing the lesions with very low or absent neoplastic risk. In these cases, the cytology may be avoided or deferred.
In summary, we combined data from literature with our experiences, and proposed a standardized US lexicon for reporting and classifying thyroid nodules which could improve the management of the patients. Although the proposed US classification system still requires a scientific validation, we believe that this proposal can become useful for all clinicians dealing with nodular thyroid disease in their clinical practice.
Disclosure Statement
The authors have no conflicts of interest or financial support to disclose.
References
- 1.Mazzaferri EL. Management of a solitary thyroid nodule. N Engl J Med. 1993;328:553–559. doi: 10.1056/NEJM199302253280807. [DOI] [PubMed] [Google Scholar]
- 2.Ezzat S, Sarti DA, Cain DR, Braunstein GD. Thyroid incidentalomas. Prevalence by palpation and ultrasonography. Arch Intern Med. 1994;154:1838–1840. doi: 10.1001/archinte.154.16.1838. [DOI] [PubMed] [Google Scholar]
- 3.Gharib H, Papini E, Valcavi R, Baskin HJ, Crescenzi A, Dottorini ME, Duick DS, Guglielmi R, Hamilton CR, Jr, Zeiger MA, Zini M. AACE/AME Task Force on Thyroid Nodules. American Association of Clinical Endocrinologists and Associazione Medici Endocrinologi medical guidelines for clinical practice for the diagnosis and management of thyroid nodules. Endocr Pract. 2006;12:63–102. doi: 10.4158/EP.12.1.63. [DOI] [PubMed] [Google Scholar]
- 4.Davies L, Welch HG. Increasing incidence of thyroid cancer in the United States, 1973-2002. JAMA. 2006;295:2164–2167. doi: 10.1001/jama.295.18.2164. [DOI] [PubMed] [Google Scholar]
- 5.Gharib H. Fine-needle aspiration biopsy of the thyroid nodules: advantages, limitations and effect. Mayo Clinic Proc. 1994;69:44–49. doi: 10.1016/s0025-6196(12)61611-5. [DOI] [PubMed] [Google Scholar]
- 6.Gharib H, Goellner JR. Fine-needle aspiration biopsy of the thyroid: an appraisal. Ann Intern Med. 1993;118:282–289. doi: 10.7326/0003-4819-118-4-199302150-00007. [DOI] [PubMed] [Google Scholar]
- 7.Miskin M, Rosen IB, Walfish PG. B-mode ultrasonography in assessment of thyroid gland lesions. Ann Intern Med. 1973;79:505–510. doi: 10.7326/0003-4819-79-4-505. [DOI] [PubMed] [Google Scholar]
- 8.Lees WR, Vahl SP, Watson LR, Russell RC. The role of ultrasound scanning in the diagnosis of thyroid swellings. Br J Surg. 1978;65:681–684. doi: 10.1002/bjs.1800651004. [DOI] [PubMed] [Google Scholar]
- 9.Gharib H, Papini E, Paschke R, Duick DS, Valcavi R, Hegedüs L, Vitti P. AACE/AME/ETA Task Force on Thyroid Nodules. American Association of Clinical Endocrinologists, Associazione Medici Endocrinologi, and European Thyroid Association Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules. Endocr Pract. 2010;16(suppl 1):1–43. doi: 10.4158/10024.GL. [DOI] [PubMed] [Google Scholar]
- 10.Frates MC, Benson CB, Charboneau JW, Cibas ES, Clark OH, Coleman BG, Cronan JJ, Doubilet PM, Evans DB, Goellner JR, Hay ID, Hertzberg BS, Intenzo CM, Jeffrey RB, Langer JE, Larsen PR, Mandel SJ, Middleton WD, Reading CC, Sherman SI, Tessler FN. Society of Radiologists in Ultrasound. Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology. 2005;237:794–800. doi: 10.1148/radiol.2373050220. [DOI] [PubMed] [Google Scholar]
- 11.American Thyroid Association (ATA) Guidelines Taskforce on Thyroid Nodules and Differentiated Thyroid Cancer. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Pacini F, Schlumberger M, Sherman SI, Steward DL, Tuttle RM. Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2009;19:1167–1214. doi: 10.1089/thy.2009.0110. [DOI] [PubMed] [Google Scholar]
- 12.Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Sherman SI, Tuttle RM. American Thyroid Association Guidelines Taskforce. Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2006;16:109–142. doi: 10.1089/thy.2006.16.109. [DOI] [PubMed] [Google Scholar]
- 13.Leboulleux S, Baudin E, Travagli JP, Schlumberger M. Medullary thyroid carcinoma. Clin Endocrinol. 2004;61:299–310. doi: 10.1111/j.1365-2265.2004.02037.x. [DOI] [PubMed] [Google Scholar]
- 14.Papini E, Guglielmi R, Bianchini A, Crescenzi A, Taccogna S, Nardi F, Panunzi C, Rinaldi R, Toscano V, Pacella CM. Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features. J Clin Endocrinol Metab. 2002;87:1941–1946. doi: 10.1210/jcem.87.5.8504. [DOI] [PubMed] [Google Scholar]
- 15.Kim EK, Park CS, Chung WY, Oh KK, Kim DI, Lee JT, Yoo HS. New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid. AJR Am J Roentgenol. 2002;178:687–691. doi: 10.2214/ajr.178.3.1780687. [DOI] [PubMed] [Google Scholar]
- 16.Moon HJ, Kwak JY, Kim EK, Kim MJ. A taller-than-wide shape in thyroid nodules in transverse and longitudinal ultrasonographic planes and the prediction of malignancy. Thyroid. 2011;21:1249–1253. doi: 10.1089/thy.2010.0372. [DOI] [PubMed] [Google Scholar]
- 17.Cappelli C, Castellano M, Pirola I, Gandossi E, De Martino E, Cumetti D, Agosti B, Rosei EA. Thyroid nodule shape suggests malignancy. Eur J Endocrinol. 2006;155:27–31. doi: 10.1530/eje.1.02177. [DOI] [PubMed] [Google Scholar]
- 18.Alexander EK, Marqusee E, Orcutt J, Benson CB, Frates MC, Doubilet PM, Cibas ES, Atri A. Thyroid nodule shape and prediction of malignancy. Thyroid. 2004;14:953–958. doi: 10.1089/thy.2004.14.953. [DOI] [PubMed] [Google Scholar]
- 19.Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, Sisney GA. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 1995;196:123–134. doi: 10.1148/radiology.196.1.7784555. [DOI] [PubMed] [Google Scholar]
- 20.Moon WJ, Jung SL, Lee JH, Na DG, Baek JH, Lee YH, Kim J, Kim HS, Byun JS, Lee DH. Thyroid Study Group, Korean Society of Neuro- and Head and Neck Radiology. Benign and malignant thyroid nodules: US differentiation-multicenter retrospective study. Radiology. 2008;247:762–770. doi: 10.1148/radiol.2473070944. [DOI] [PubMed] [Google Scholar]
- 21.Nam-Goong IS, Kim HY, Gong G, Lee HK, Hong SJ, Kim WB, Shong YK. Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings. Clin Endocrinol (Oxf) 2004;60:21–28. doi: 10.1046/j.1365-2265.2003.01912.x. [DOI] [PubMed] [Google Scholar]
- 22.Ahuja A, Chick W, King W, Metreweli C. Clinical significance of the comet-tail artifact in thyroid ultrasound. J Clin Ultrasound. 1996;24:129–133. doi: 10.1002/(SICI)1097-0096(199603)24:3<129::AID-JCU4>3.0.CO;2-J. [DOI] [PubMed] [Google Scholar]
- 23.Kim DW, Lee EJ, In HS, Kim SJ. Sonographic differentiation of partially cystic thyroid nodules: a prospective study. AJNR Am J Neuroradiol. 2010;31:1961–1966. doi: 10.3174/ajnr.A2204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lee MJ, Kim EK, Kwak JY, Kim MJ. Partially cystic thyroid nodules on ultrasound: probability of malignancy and sonographic differentiation. Thyroid. 2009;19:341–346. doi: 10.1089/thy.2008.0250. [DOI] [PubMed] [Google Scholar]
- 25.Brkljacic B, Cuk V, Tomic-Brzac H, Bence-Zigman Z, Delic-Brkljacic D, Drinkovic I. Ultrasonic evaluation of benign and malignant nodules in echographically multinodular thyroids. J Clin Ultrasound. 1994;22:71–76. doi: 10.1002/jcu.1870220202. [DOI] [PubMed] [Google Scholar]
- 26.Chen SJ, Yu SN, Tzeng JE, Chen YT, Chang KY, Cheng KS, Hsiao FT, Wei CK. Characterization of the major histopathological components of thyroid nodules using sonographic textural features for clinical diagnosis and management. Ultrasound Med Biol. 2009;35:201–208. doi: 10.1016/j.ultrasmedbio.2008.08.017. [DOI] [PubMed] [Google Scholar]
- 27.Baek JH, Lee JH, Valcavi R, Pacella CM, Rhim H, Na DG. Thermal ablation for benign thyroid nodules: radiofrequency and laser. Korean J Radiol. 2011;12:525–540. doi: 10.3348/kjr.2011.12.5.525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Piana S, Riganti F, Froio E, Andrioli M, Pacella CM, Valcavi R. Pathological findings of thyroid nodules after percutaneous laser ablation: a series of 22 cases with cyto-histological correlation. Endocr Pathol. 2012;23:94–100. doi: 10.1007/s12022-012-9192-0. [DOI] [PubMed] [Google Scholar]
- 29.Solbiati L, Osti V, Cova L, Tonolini M. Ultrasound of thyroid, parathyroid glands and neck lymph nodes. Eur Radiol. 2001;11:2411–2424. doi: 10.1007/s00330-001-1163-7. [DOI] [PubMed] [Google Scholar]
- 30.Taki S, Terahata S, Yamashita R, Kinuya K, Nobata K, Kakuda K, Kodama Y, Yamamoto I. Thyroid calcifications: sonographic patterns and incidence of cancer. Clin Imaging. 2004;28:368–371. doi: 10.1016/S0899-7071(03)00190-6. [DOI] [PubMed] [Google Scholar]
- 31.Kim BM, Kim MJ, Kim EK, Kwak JY, Hong SW, Son EJ, Kim KH. Sonographic differentiation of thyroid nodules with eggshell calcifications. J Ultrasound Med. 2008;27:1425–1430. doi: 10.7863/jum.2008.27.10.1425. [DOI] [PubMed] [Google Scholar]
- 32.Reading CC, Charboneau JW, Hay ID, Sebo TJ. Sonography of thyroid nodules: a ‘classic pattern’ diagnostic approach. Ultrasound Q. 2005;21:157–165. doi: 10.1097/01.ruq.0000174750.27010.68. [DOI] [PubMed] [Google Scholar]
- 33.Propper RA, Skolnick ML, Weinstein BJ, Dekker A. The nonspecificity of the thyroid halo sign. J Clin Ultrasound. 1980;8:129–132. doi: 10.1002/jcu.1870080206. [DOI] [PubMed] [Google Scholar]
- 34.Lu C, Chang TC, Hsiao YL, Kuo MS. Ultrasonographic findings of papillary thyroid carcinoma and their relation to pathologic changes. J Formos Med Assoc. 1994;93:933–938. [PubMed] [Google Scholar]
- 35.Chan BK, Desser TS, McDougall IR, Weigel RJ, Jeffrey RB., Jr Common and uncommon sonographic features of papillary thyroid carcinoma. J Ultrasound Med. 2003;22:1083–1090. doi: 10.7863/jum.2003.22.10.1083. [DOI] [PubMed] [Google Scholar]
- 36.Watters DA, Ahuja AT, Evans RM, Chick W, King WW, Metreweli C, Li AK. Role of ultrasound in the management of thyroid nodules. Am J Surg. 1992;164:654–657. doi: 10.1016/s0002-9610(05)80728-7. [DOI] [PubMed] [Google Scholar]
- 37.Cerbone G, Spiezia S, Colao A, Di Sarno A, Assanti AP, Lucci R, Siciliani M, Lombardi G, Fenzi G. Power Doppler improves the diagnostic accuracy of color Doppler ultrasonography in cold thyroid nodules: follow-up results. Horm Res. 1999;52:19–24. doi: 10.1159/000023427. [DOI] [PubMed] [Google Scholar]
- 38.Wienke JR, Chong WK, Fielding JR, Zou KH, Mittelstaedt CA. Sonographic features of benign thyroid nodules: interobserver reliability and overlap with malignancy. J Ultrasound Med. 2003;22:1027–1031. doi: 10.7863/jum.2003.22.10.1027. [DOI] [PubMed] [Google Scholar]
- 39.Rago T, Vitti P, Chiovato L, Mazzeo S, De Liperi A, Miccoli P, Viacava P, Bogazzi F, Martino E, Pinchera A. Role of conventional ultrasonography and color flow-Doppler sonography in predicting malignancy in ‘cold’ thyroid nodules. Eur J Endocrinol. 1998;138:41–46. doi: 10.1530/eje.0.1380041. [DOI] [PubMed] [Google Scholar]
- 40.Fukunari N, Nagahama M, Sugino K, Mimura T, Ito K, Ito K. Clinical evaluation of color Doppler imaging for the differential diagnosis of thyroid follicular lesions. World J Surg. 2004;28:1261–1265. doi: 10.1007/s00268-004-7597-8. [DOI] [PubMed] [Google Scholar]
- 41.De Nicola H, Szejnfeld J, Logullo AF, Wolosker AM, Souza LR, Chiferi V., Jr Flow pattern and vascular resistive index as predictors of malignancy risk in thyroid follicular neoplasms. J Ultrasound Med. 2005;24:897–904. doi: 10.7863/jum.2005.24.7.897. [DOI] [PubMed] [Google Scholar]
- 42.Hegedüs L, Bonnema SJ, Bennedbaek FN. Management of simple nodular goiter: current status and future perspectives. Endocr Rev. 2003;24:102–132. doi: 10.1210/er.2002-0016. [DOI] [PubMed] [Google Scholar]
- 43.Hegedüs L. Clinical practice. The thyroid nodule. N Engl J Med. 2004;351:1764–1771. doi: 10.1056/NEJMcp031436. [DOI] [PubMed] [Google Scholar]
- 44.Brauer VF, Eder P, Miehle K, Wiesner TD, Hasenclever H, Paschke R. Interobserver variation for ultrasound determination of thyroid nodule volumes. Thyroid. 2005;15:1169–1175. doi: 10.1089/thy.2005.15.1169. [DOI] [PubMed] [Google Scholar]
- 45.Alexander EK, Hurwitz S, Heering JP, Benson CB, Frates MC, Doubilet PM, Cibas ES, Larsen PR, Marqusee E. Natural history of benign solid and cystic thyroid nodules. Ann Intern Med. 2003;138:315–318. doi: 10.7326/0003-4819-138-4-200302180-00010. [DOI] [PubMed] [Google Scholar]
- 46.Brander AE, Viikinkoski VP, Nickels JI, Kivisaari LM. Importance of thyroid abnormalities detected at US screening: a 5-year follow-up. Radiology. 2000;215:801–806. doi: 10.1148/radiology.215.3.r00jn07801. [DOI] [PubMed] [Google Scholar]
- 47.Kuma K, Matsuzuka F, Yokozawa T, Miyauchi A, Sugawara M. Fate of untreated benign thyroid nodules: results of long-term follow-up. World J Surg. 1994;18:495–498. doi: 10.1007/BF00353745. [DOI] [PubMed] [Google Scholar]
- 48.Hoang JK, Lee WK, Lee M, Johnson D, Farrell S. US Features of thyroid malignancy: pearls and pitfalls. Radiographics. 2007;27:847–860. doi: 10.1148/rg.273065038. [DOI] [PubMed] [Google Scholar]
- 49.Chaturvedi P, Insana MF, Hall TJ. Ultrasonic and elasticity imaging to model disease-induced changes in soft-tissue structure. Med Image Anal. 1998;2:325–338. doi: 10.1016/s1361-8415(98)80014-5. [DOI] [PubMed] [Google Scholar]
- 50.Ophir J, Alam SK, Garra B, Kallel F, Konofagou E, Krouskop T, Varghese T. Elastography: ultrasonic estimation and imaging of the elastic properties of tissues. Proc Inst Mech Eng H. 1999;213:203–233. doi: 10.1243/0954411991534933. [DOI] [PubMed] [Google Scholar]
- 51.Siperstein AE, Clark OH. Thyroid diseases: tumors, carcinoma of follicular epithelium, surgical therapy. In: Braverman LE, Utiger RD, editors. The Thyroid: A Fundamental and Clinical Text. ed 8. Philadelphia: Lippincott Williams & Wilkins; 2000. pp. 898–899. [Google Scholar]
- 52.Lyshchik A, Higashi T, Asato R, Tanaka S, Ito J, Mai JJ, Pellot-Barakat C, Insana MF, Brill AB, Saga T, Hiraoka M, Togashi K. Thyroid gland tumor diagnosis at US elastography. Radiology. 2005;237:202–211. doi: 10.1148/radiol.2363041248. [DOI] [PubMed] [Google Scholar]
- 53.Rago T, Santini F, Scutari M, Pinchera A, Vitti P. Elastography: new developments in ultrasound for predicting malignancy in thyroid nodules. J Clin Endocrinol Metab. 2007;92:2917–2922. doi: 10.1210/jc.2007-0641. [DOI] [PubMed] [Google Scholar]
- 54.Bae U, Dighe M, Dubinsky T, Minoshima S, Shamdasani V, Kim Y. Ultrasound thyroid elastography using carotid artery pulsation: preliminary study. J Ultrasound Med. 2007;26:797–805. doi: 10.7863/jum.2007.26.6.797. [DOI] [PubMed] [Google Scholar]
- 55.Asteria C, Giovanardi A, Pizzocaro A, Cozzaglio L, Morabito A, Somalvico F, Zoppo A. US-elastography in the differential diagnosis of benign and malignant thyroid nodules. Thyroid. 2008;18:523–531. doi: 10.1089/thy.2007.0323. [DOI] [PubMed] [Google Scholar]
- 56.Rubaltelli L, Corradin S, Dorigo A, Stabilito M, Tregnaghi A, Borsato S, Stramare R. Differential diagnosis of benign and malignant thyroid nodules at elastosonography. Ultraschall Med. 2009;30:175–179. doi: 10.1055/s-2008-1027442. [DOI] [PubMed] [Google Scholar]
- 57.Dighe M, Bae U, Richardson ML, Dubinsky TJ, Minoshima S, Kim Y. Differential diagnosis of thyroid nodules with US elastography using carotid artery pulsation. Radiology. 2008;248:662–669. doi: 10.1148/radiol.2482071758. [DOI] [PubMed] [Google Scholar]
- 58.Unlütürk U, Erdogan MF, Demir O, Güllü S, Baskal N. Ultrasound-elastography is not superior to gray-scale ultrasound in predicting malignancy in thyroid nodules. Thyroid. 2012;22:1031–1038. doi: 10.1089/thy.2011.0502. [DOI] [PubMed] [Google Scholar]
- 59.Ragazzoni F, Deandrea M, Mormile A, Ramunni MJ, Garino F, Magliona G, Motta M, Torchio B, Garberoglio R, Limone P. High diagnostic accuracy and interobserver reliability of real-time elastography in the evaluation of thyroid nodules. Ultrasound Med Biol. 2012;38:1154–1162. doi: 10.1016/j.ultrasmedbio.2012.02.025. [DOI] [PubMed] [Google Scholar]
- 60.Rago T, Scutari M, Santini F, Loiacono V, Piaggi P, Di Coscio G, Basolo F, Berti P, Pinchera A, Vitti P. Real-time elastosonography: useful tool for refining the presurgical diagnosis in thyroid nodules with indeterminate or nondiagnostic cytology. J Clin Endocrinol Metab. 2010;95:5274–5280. doi: 10.1210/jc.2010-0901. [DOI] [PubMed] [Google Scholar]
- 61.Yildirim D, Gurses B, Gurpinar B, Ekci B, Colakoglu B, Kaur A. Nodule or pseudonodule? Differentiation in Hashimoto's thyroiditis with sonoelastography. J Int Med Res. 2011;39:2360–2369. doi: 10.1177/147323001103900636. [DOI] [PubMed] [Google Scholar]
- 62.Scacchi M, Andrioli M, Carzaniga C, Vitale G, Moro M, Poggi L, Pecori Giraldi F, Fatti LM, Cavagnini F. Elastosonographic evaluation of thyroid nodules in acromegaly. Eur J Endocrinol. 2009;161:607–613. doi: 10.1530/EJE-09-0558. [DOI] [PubMed] [Google Scholar]
- 63.Luo S, Lim DJ, Kim Y. Objective ultrasound elastography scoring of thyroid nodules using spatiotemporal strain information. Med Phys. 2012;39:1182–1189. doi: 10.1118/1.3679857. [DOI] [PubMed] [Google Scholar]
- 64.Ding J, Cheng H, Ning C, Huang J, Zhang Y. Quantitative measurement for thyroid cancer characterization based on elastography. J Ultrasound Med. 2011;30:1259–1266. doi: 10.7863/jum.2011.30.9.1259. [DOI] [PubMed] [Google Scholar]
- 65.Ding J, Cheng HD, Huang J, Zhang Y, Liu J. An improved quantitative measurement for thyroid cancer detection based on elastography. Eur J Radiol. 2012;81:800–805. doi: 10.1016/j.ejrad.2011.01.110. [DOI] [PubMed] [Google Scholar]
- 66.Koike E, Noguchi S, Yamashita H, Murakami T, Ohshima A, Kawamoto H, Yamashita H. Ultrasonographic characteristics of thyroid nodules: prediction of malignancy. Arch Surg. 2001;136:334–337. doi: 10.1001/archsurg.136.3.334. [DOI] [PubMed] [Google Scholar]
- 67.Cappelli C, Castellano M, Pirola I, Cumetti D, Agosti B, Gandossi E, Agabiti Rosei E. The predictive value of ultrasound findings in the management of thyroid nodules. QJM. 2007;100:29–35. doi: 10.1093/qjmed/hcl121. [DOI] [PubMed] [Google Scholar]
- 68.Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A, Dominguez M. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab. 2009;94:1748–1751. doi: 10.1210/jc.2008-1724. [DOI] [PubMed] [Google Scholar]
- 69.Lee YH, Kim DW, In HS, Park JS, Kim SH, Eom JW, Kim B, Lee EJ, Rho MH. Differentiation between benign and malignant solid thyroid nodules using a US classification system. Korean J Radiol. 2011;12:559–567. doi: 10.3348/kjr.2011.12.5.559. [DOI] [PMC free article] [PubMed] [Google Scholar]