Literature DB >> 25747526

Thyroid ultrasound features and risk of carcinoma: a systematic review and meta-analysis of observational studies.

Luciana Reck Remonti1, Caroline Kaercher Kramer, Cristiane Bauermann Leitão, Lana Catani F Pinto, Jorge Luiz Gross.   

Abstract

BACKGROUND: Thyroid nodules are a common finding in the general population, and their detection is increasing with the widespread use of ultrasound (US). Thyroid cancer is found in 5-15% of cases depending on sex, age, and exposure to other risk factors. Some US parameters have been associated with increased risk of malignancy. However, no characteristic seems sufficiently reliable in isolation to diagnose malignancy. The objective of this meta-analysis was to evaluate the diagnostic performance of US features for thyroid malignancy in patients with unselected thyroid nodules and nodules with indeterminate fine-needle aspiration (FNA) cytology.
METHODS: Electronic databases were reviewed for studies published prior to July 2012 that evaluated US features of thyroid nodules and reported postoperative histopathologic diagnosis. A manual search of references of review and key articles, and previous meta-analyses was also performed. A separate meta-analysis was performed including only nodules with indeterminate cytology. Analyzed features were solid structure, hypoechogenicity, irregular margins, absence of halo, microcalcifications, central vascularization, solitary nodule, heterogeneity, taller than wide shape, and absence of elasticity.
RESULTS: Fifty-two observational studies (12,786 nodules) were included. Nine studies included nodules with indeterminate cytology as a separate category, comprising 1851 nodules. In unselected nodules, all US features were significantly associated with malignancy with an odds ratio varying from 1.78 to 35.7, and microcalcifications, irregular margins, and a taller than wide shape had high specificities (Sp; 87.8%, 83.1%, 96.6%) and positive likelihood ratios (LHR; 3.26, 2.99, 8.07). Absence of elasticity was the single feature with the best diagnostic performance (sensitivity 87.9%, Sp 86.2%, and positive LHR 6.39). The presence of central vascularization was the most specific US feature in nodules with indeterminate cytology (Sp 96% and positive LHR 2.13).
CONCLUSIONS: US features in isolation do not provide reliable information to select nodules that should have a FNA performed. A combination of US characteristics with higher likelihood ratios and consequently with higher post-test probabilities of malignancy-microcalcifications, or a taller than wide shape, or irregular margins, or absence of elasticity-will probably identify nodules with an increased risk for malignancy. Further studies are required to standardize elastography techniques and evaluate outcomes, especially in nodules with an indeterminate cytology.

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Year:  2015        PMID: 25747526      PMCID: PMC4447137          DOI: 10.1089/thy.2014.0353

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


Introduction

Thyroid nodules are a common finding in the general population, and their detection is increasing with the widespread use of ultrasound (US). The prevalence of thyroid nodularity varies from 19% to 67%, and increases with age, affecting about 50% of the population older than 40 years of age (1–5). The clinical significance of thyroid nodules relates to the need to exclude thyroid cancer, which is found in 5–15% of cases, depending on sex, age, and exposure to other risk factors (5–8). The incidence of thyroid cancer has increased about fivefold in the last 50 years, mostly due to small papillary thyroid cancers, the most indolent form of thyroid cancer (9). Some US parameters, such as microcalcifications, hypoechogenicity, absence of a halo, increased intranodular vascularity, nodule shape or irregular margins, have been traditionally associated with increased risk of malignancies (10). However, none of these characteristics seems sufficiently reliable in isolation to diagnose malignancy. Diagnostic sensitivity ranges from 26.5% to 87.1% for hypoechogenicity, 54.3% to 74.3% for intranodular vascularity, and 26.1% to 59.1% for microcalcifications, whereas specificity ranges from 43.4% to 94.3%, 78.6% to 80.8%, and 85.8% to 95%, respectively (4,10,11). More recently, US determination of tissue elasticity (elastography) has been suggested to detect malignancy in thyroid nodules. A meta-analysis found a sensitivity of 92% and specificity of 90% using this technique. However, only a few studies were included, and only three used histopathology of surgical specimens for final diagnosis (12). Fine-needle aspiration (FNA) biopsy is considered the most accurate procedure to identify malignant nodules. To implement biopsies in all patients harboring a thyroid nodule is too burdensome, and the results of FNA have some limitations. The indications are broad and vague, and usually include patients with a family history of thyroid cancer, or those who have had significant radiation exposure, or those who have a combination of suspicious US features (5,10). However, there is no information about the probability of the US features associated with malignancy and which combination would be more clinically useful. US features may be also useful in clinical decision making for patients with FNA specimens insufficient for diagnosis (10%) or where specimens are indeterminate (15–30%), the latter carrying a 20–30% risk of malignancy (4,5). A recent meta-analysis evaluating the accuracy of US to predict malignancy in thyroid nodules found sensitivities ranging from 26% to 87%, and specificities from 40% to 93%. In this study, a taller than wide shape showed the highest diagnostic odds ratio (OR) for cancer. However, that meta-analysis included studies that used cytology, instead of histology, as a final diagnosis for benign nodules. Besides, it did not evaluate the accuracy of elastography to predict malignancy (13). Moreover, there was no description of the probability—likelihood ratio—of US characteristics associated with malignancy. The likelihood ratio would provide more information to be used in the clinical decision making of thyroid nodules than just sensitivity and specificity (14). The aim of this study was to conduct a systematic review and meta-analysis of observational studies evaluating the diagnostic performance of US features considered to be associated with thyroid malignancy in patients with unselected thyroid nodules or nodules with indeterminate FNA cytology, considering only histopathologic diagnosis of surgical specimens as the final diagnosis.

Material and Methods

Search strategy

MEDLINE was searched using the following medical subject heading terms: “Thyroid Nodule”[MeSH] AND (“Ultrasonography”[MeSH] OR “ultrasonography”[Subheading] OR “Ultrasonography, Doppler”[MeSH]). EMBASE was searched using EmTree terms “Thyroid nodule” and “Ultrasonography.” The search period ended in July 2012. A manual search of the references of review articles, previous meta-analyses, and key articles was also performed. All potentially eligible studies were considered for review regardless of the primary outcome or language.

Study selection

Observational studies of patients with thyroid nodules evaluated by US and submitted to thyroidectomy regardless of the reason for surgery were considered for inclusion. Only studies with histopathologic diagnosis of surgical specimens were considered. Two independent investigators (L.R.R. and C.K.K.) selected potentially eligible studies based on titles and abstracts. All the studies selected were retrieved for full-text evaluation. Disagreements were solved by a third investigator (C.B.L.).

Data extraction and quality assessment

Two investigators reviewed the selected studies for patient characteristics, US features, and histopathologic results. Any discrepancies between the data extracted were discussed until a consensus was reached. The absolute number of patients with and without the evaluated features and with and without malignancy was extracted. These data were entered into a computerized spreadsheet considering true positives, true negatives, false positives, and false negatives. The diagnostic ability to diagnose thyroid malignancy of the following US features was evaluated: solid structure, hypoechogenicity, irregular margins, absence of halo, microcalcifications, central vascularization, solitary nodule, heterogeneity, taller than wide shape, and absence of elasticity. The presence of these features was defined as described in the original study. Two independent investigators (L.R.R. and L.C.F.P.) evaluated the quality of the included studies using the QUADAS-2 tool (15). Any disagreements were solved by a third investigator (CBL). The present meta-analysis was described according to proposed by Stroup et al. (16). Details are available in Supplementary Table S1 (Supplementary Data are available online at www.liebertpub.com/thy).

Statistical analysis

The overall OR was calculated to assess the predictive value of each US feature for malignancy. The Cochran chi-square and the I2 tests were used to evaluate statistical heterogeneity among studies, and a threshold value of p=0.10 was considered significant. Risk estimates were obtained with a random effects meta-analysis if significant heterogeneity was found among the studies in preliminary models. The pooled sensitivity, specificity, positive and negative likelihood ratios, and post-test probabilities (14) were calculated using a mean pretest probability of 10% based on the average of malignancy found in thyroid nodules in general (5–8). The likelihood ratio represents how many times more (or less) frequently patients with the disease present that particular result than a patient without the disease; it is a statistical means that summarizes the diagnostic accuracy of a test (14). Likelihood ratios >10 or <0.1 are considered strong evidence to, respectively, confirm or rule out the diagnosis of interest (14). The possibility of publication bias was evaluated using a funnel plot of a trial's effect size against the SE. Funnel plot asymmetry was analyzed by the Begg and Egger tests. Trim-and-fill computation was used to estimate the effect of publication bias. A separate meta-analysis was performed including only patients with nodules with an indeterminate cytology. As FNA cytology classification has changed over time, indeterminate cytology was defined as reported in the original article including those classified as indeterminate or suspicious. All statistical analyses were performed using Stata v11.0 software (StataCorp LP, College Station, TX).

Results

The initial search retrieved 1917 articles, of which 1766 were excluded based on title and abstract. Full-text assessment was performed on 151 articles, and of these, 52 were selected for the present study (Fig. 1). Therefore, 12,786 nodules were included in the analysis (17–68). Nine studies including patients with indeterminate cytology aspirates, comprising 1851 nodules, were included in a separate meta-analysis. The characteristics of the included studies are described in Table 1.

Flowchart of article selection.

1.

Characteristics of Studies Included in Meta-Analysis

Author (reference)YearNumber of nodulesMale sex (%)Age (mean)Clinical backgroundUS features evaluated
Walker J (65)19859414.8 All patients submitted to surgerySolid
Aggarwal S (17)198936  Patients with cold nodulesSolid
Cox M (29)1991681048.6Patients submitted to surgery with no compressive symptoms or obvious malignancySolitary, solid
Hübsch V (36)1992653042Patients with cold nodules, compressive symptoms, hyperthyroidism, or malignancy suspected or confirmedHypoechogenicity, microcalcifications, central vascularization, solitary, solid, heterogeneity, and irregular margins
Brkljacic B (21)199442613.346.5Patients with multinodular goiterHypoechogenicity, microcalcifications
Ousehal A (46)1996100 39Unselected patients submitted to surgeryHypoechogenicity, irregular margins
Rago T (55)19981043342.3Patients with single nodule with compressive symptoms or suspicion of malignancyHypoechogenicity, absence of halo, microcalcifications
Kakkos S (37)2000188  All patients submitted to surgeryMicrocalcifications
Bozbora A (20)2002812533Patients with cold solitary or dominant noduleSolitary
Giammanco M (33)200212521.657All patients submitted to surgeryCentral vascularization
Khoo M (38)2002361  Consecutive patients submitted to surgeryMicrocalcifications
Kountakis S (40)200283  All patients submitted to surgerySolitary
Leenhardt L (41)200215525.1 Patients submitted to surgery with no hormonal dysfunctionHypoechogenicity, microcalcifications, solid, irregular margins
Peccin S (47)2002802045.3Patients with compressive symptoms or suspicion of malignancyHypoechogenicity, absence of halo, microcalcifications
Casella C (25)20036615.144.6Patients submitted to surgeryCentral vascularization
Alexopoulou O (18)2004109  Patients with nontoxic multinodular goiterHypoechogenicity, microcalcifications
Fukunari N (31)200431014.1947Patients with cold solitary nodulesCentral vascularization
Penfold A (48)20048313.2 Patients submitted to surgeryHypoechogenicity, absence of halo, microcalcifications, central vascularization, irregular margins
Seiberling K (59)200415923.246Patients submitted to surgeryMicrocalcifications
Kobayashi K (39)2005910 49Patients submitted to surgery with diagnosis of follicular noduleSolitary, solid, irregular margins
Nicola H (30)200586  Patients with follicular neoplasms on FNACentral vascularization
Popowicz B (51)2006356  Patients submitted to surgeryMicrocalcifications, solitary
Sahin M (56)200647217.851.5Patients submitted to surgeryHypoechogenicity, absence of halo, microcalcifications, solid, heterogeneity, irregular margins
Wang N (66)200632218.444Patients submitted to surgeryMicrocalcifications
Cappelli C (24)2006349  Nodules with malignant or suspicious cytologyHypoechogenicity, microcalcifications, central vascularization, irregular margins
Rago T (52)200750521.1845Cold nodules with cytological diagnosis of follicular or Hürthle cell lesionHypoechogenicity, microcalcifications, irregular margins
Rago T (53)20079231.5241.6Patients submitted to surgery for compressive symptoms or FNA suspiciousHypoechogenicity, absence of halo, microcalcifications, central vascularization, elasticity
Sharma R (60)20075226.9 Patients with cold solitary nodulesCentral vascularization
Sippel R (63)200732518.547Patient with FNA diagnosis of follicular or Hürthle cell neoplasm or indeterminateHypochogenicity, central vascularization, solid, heterogeneity
Varverakis E (64)20078520 Patients submitted to surgery due to risk of malignancy or compressive symptomsCentral vascularization
Bakhshaee M (19)2008851336.88Patients submitted to surgery due to FNA diagnosis or obstructive or cosmetic reasonsCentral vascularization, solid
Choi Y (28)2008175  Patients submitted to surgeryHypoechogenicity, microcalcifications, taller than wide shape, solid, irregular margins
Gulcelik N (34)20089816.3246.7Patients with cytology reporting follicular neoplasmHypoechogenicity, microcalcifications, solitary, solid
Salmaslioglu A (57)200819261946.9Patients with multinodular goiter submitted to surgeryHypoechogenicity, microcalcifications, solid, irregular margins
Chen G (27)200975823 Patients submitted to surgeryMicrocalcifications
Hong Y (35)200914517.746Consecutive patients submitted to surgeryHypoechogenicity, microcalcifications, central vascularization, elasticity, taller than wide shape, irregular margins
Liu F (43)2009407.543.7Patients with lymphocytic thyroiditis and nodules FNA malignant or indeterminateHypoechogenicity, absence of halo, microcalcifications, irregular margins
Mendelson A (45)20097716.8 FNA reporting follicular, Hürthle cell or nondiagnosticMicrocalcifications, solid
Phuttharak W (49)2009313.341.8Patients with risk of malignancy after US and FNAHypoechogenicity, microcalcifications, central vascularization, taller than wide shape
Popowicz B (50)20091141 49.5Patients submitted to surgeryHypoechogenicity, microcalcifications, central vascularization, solitary, taller than wide shape
Rago T (54)201019526.144Patients with indeterminate or nondiagnostic cytologyHypoechogenicity, absence of halo, microcalcifications, central vascularization, elasticity
Schueller-Weidekamm C (58)20103131.4255.2Patients with cold nodulesHypoechogenicity, microcalcifications, central vascularization, irregular margins
Sillery J (62)20101023553Patients with diagnosis of follicular carcinoma and adenomaHypoechogenicity, absence of halo, microcalcifications, central vascularization, heterogeneity
Wang Y (67)20105125.548.6Patients with single nodules submitted to surgeryMicrocalcifications, central vascularizaion, elasticity, irregular margins
Yoon J (68)20109913.1343.71Patients with indeterminate cytologyHypoechogenicity, microcalcifications, solitary, taller than wide shape, solid, irregular margins
Cakir B (22)201139117.1246.08Patients with compressive symptoms or malignant or suspicious cytologyElasticity
Maia F (44)201114315.447.2Patients submitted to surgeryHypoechogenicity, microcalcifications, central vascularization, irregular margins
Castro M (26)201146253.731Patients with suspicious cytologySolitary
Ghervan (32)201199  Patients with suspicious nodulesElasticity
Lippolis P (42)201110232.346.5Patients with indeterminate cytologyHypoechogenicity, microcalcifications, central vascularization, elasticity
Shuzhen C (61)20112912543.38Patients submitted to surgeryElasticity
Cantisani V (23)2012973354Patients submitted to surgery due to compressive symptoms or suspicious nodulesHypoechogenicity, microcalcifications, central vascularization

US, ultrasound; FNA, fine-needle aspiration.

Flowchart of article selection. Characteristics of Studies Included in Meta-Analysis US, ultrasound; FNA, fine-needle aspiration. High statistical heterogeneity was identified in the analysis of all but two US features (heterogeneity and having a taller than wide shape); therefore, the random effects model was used. Funnel plot and the Egger test suggested a publication bias on analysis of the following US features: heterogeneity, hypoechogenicity, solidity, and central vascularization when considering all unselected nodules. However, trim-and-fill computation revealed that publication bias did not interfere with the interpretation of results.

Quality of studies

Included studies had, in general, a low risk of bias. The most concerning issue was the lack of description if the US assessor was blinded for the histopathologic diagnosis. As US has to be performed prior to surgery, the person who performed the US was not aware of the histopathologic diagnosis. It was also considered that some studies may have limitations due to patient selection, in most cases because they included only patients with cold nodules. Details about quality of trials are described in Supplementary Table S2.

Diagnostic performance of US features in all nodules

All the features evaluated were significantly associated with malignancy, with an overall OR ranging from 1.77 to 35.7 (Fig. 2). However, the sensitivity of US features traditionally associated with malignancy was somewhat low, ranging from 26.7% to 63%, which means that, using these features individually, 37% to 73.3% of cancers would not be diagnosed. Four of these features—microcalcifications, central vascularization, irregular margins, and a taller than wide shape—showed better specificity than the other features: 87.8%, 78%, 83.1%, and 96.6%, respectively. The positive likelihood ratio ranged from 1.33 to 8.07, and the negative likelihood ratio from 0.13 to 0.77 (Table 2). Considering a pretest probability of 10%, the post-test probability of malignancy ranged from 12.8% to 47.0% after a positive test, and 1.4% to 7.8% with a negative test result. Absence of elasticity was the US feature that showed the best diagnostic accuracy, with a sensitivity of 87.9%, a specificity of 86.2%, and a positive and negative LHR of 6.39 and 0.13, respectively (Table 2).

Forest plot representing odds ratio (OR) for malignancy of each ultrasound (US) feature evaluated.

2.

Diagnostic Performance of Each US Feature in the Differentiation of Benign and Malignant Thyroid Nodules in Unselected Nodules

FeatureSensitivity (%)Specificity (%)Positive likelihood ratioPost-test probability (%)[a]Negative likelihood ratioPost-test probability (%)[b]
Taller than wide26.796.68.0747.00.757.6
Halo absent56.472.02.0218.10.606.2
Absence of elasticity87.986.26.3941.30.131.4
Heterogeneity47.570.01.5814.80.747.5
Hypoechogenicity62.762.31.6615.40.626.3
Solid72.753.21.5514.60.515.3
Microcalcifications39.587.83.2626.40.687.0
Solitary53.060.21.3312.80.777.8
Central vascularization45.978.02.0918.70.697.1
Irregular margins50.583.12.9924.70.596.1

Probability of malignancy after having a positive test result.

Probability of malignancy after having a negative test result.

Forest plot representing odds ratio (OR) for malignancy of each ultrasound (US) feature evaluated. Diagnostic Performance of Each US Feature in the Differentiation of Benign and Malignant Thyroid Nodules in Unselected Nodules Probability of malignancy after having a positive test result. Probability of malignancy after having a negative test result.

Diagnostic performance of US features in nodules with indeterminate cytology

Only a few of the studies reported the histopathologic diagnosis specifically for nodules with an indeterminate cytology. Because of that, only the following features were analyzed: absence of halo, absence of elasticity, hypoechogenicity, solid structure, presence of microcalcifications, solitary nodule, irregular margins, and central vascularization. Of these, pooled diagnostic accuracy statistics could be calculated only for hypoechogenicity, central vascularization, and presence of microcalcifications because more than three studies are needed in order to perform a meta-analysis of a diagnostic test. Only the presence of microcalcifications was significantly associated with malignancy (Fig. 3). However, in this subgroup of nodules, any of the US features was not able to determinate the risk of malignancy with an acceptable sensitivity (Table 3). Presence of central vascularization was the feature with the best specificity (96%). The positive likelihood ratio ranged from 1.12 to 2.52, and the negative likelihood ratio from 0.66 to 0.95. Considering a pretest probability of 10%, the post-test probability of malignancy ranged from 11% to 21.8% after a positive test, and 6.8% to 9.5% with a negative test result.

Forest plot representing OR for malignancy of each US feature evaluated in nodules with indeterminate cytology.

3.

Diagnostic Performance of Each US Feature in the Differentiation of Benign and Malignant Thyroid Nodules in Nodules with Indeterminate Cytology

CriterionSensitivity (%)Specificity (%)Positive likelihood ratioPost-test probability (%)[a]Negative likelihood ratioPost-test probability (%)[b]
Hypoechogenicity49.756.01.1211.00.898.9
Microcalcifications45.681.92.5221.80.666.8
Central vascularization8.496.02.1319.10.959.5

Probability of malignancy after having a positive test result.

Probability of malignancy after having a negative test result.

Forest plot representing OR for malignancy of each US feature evaluated in nodules with indeterminate cytology. Diagnostic Performance of Each US Feature in the Differentiation of Benign and Malignant Thyroid Nodules in Nodules with Indeterminate Cytology Probability of malignancy after having a positive test result. Probability of malignancy after having a negative test result.

Meta-regression

In the analysis of some features, fewer than 10 studies were available, preventing a meta-regression from being performed. For analysis of hypoechogenicity, irregular margins, microcalcifications, solid structure, and central vascularization, a meta-regression was performed using the year of publication and/or the prevalence of cancer in the study sample as covariates. However, none of these variables was able to explain the high heterogeneity found significantly.

Discussion

In the present meta-analysis, the US features associated with a higher risk and post-test probability of malignancy were taller than wide shape, absence of elasticity, presence of microcalcifications, and irregular margins. However, none of the US features analyzed singly had a clinically relevant positive likelihood ratio (>10) and post-test probabilities to suggest malignancy. Most likely, the use in combination may provide stronger risk and probability of malignancy. However, it was not possible to estimate the real risk of malignancy by using the combination of US features because very few studies have analyzed this aspect, and they differ regarding the selected features. The strengths of the presents meta-analysis are the large number of nodules evaluated and the fact that all the nodules included had a histopathologic diagnosis, which is the reference method for the definite diagnosis of thyroid nodules. Moreover, the performance of US in nodules with indeterminate cytology was also analyzed, which constitutes the most challenging group of patients for clinical decision making. Another relevant aspect was the calculation of the likelihood ratio statistics, which summarizes how many times more (or less) likely patients with the disease are to have that particular result than patients without the disease (14). The likelihood ratio of a diagnostic test is more useful clinically than sensitivity and specificity. To the best of the authors' knowledge, there are no previous systematic reviews and meta-analyses that focus on histopathology only. The present study has some limitations. First, no information was available on individual characteristics of patients regarding risk factors for malignancy, and on the reason for surgery. Also, the number of studies was insufficient for the analysis of some US features in patients with indeterminate cytology, possibly the subgroup of patients that would most benefit from the use of US as a tool to help in clinical management decision. Our results confirm the findings of previous isolated studies. Moon et al. (69) evaluated 831 patients with thyroid nodules and found low sensitivity values for most of the US features. Hypoechogenicity was the only finding that showed a sensitivity of 87.2%. In the same study, taller than wide shape, speculated margins, marked hypoechogenicity, and micro- and macrocalcifications demonstrated a high specificity for malignancy, ranging from 90.8% to 96.1%. In one of the largest series comprising 672 patients and 1141 nodules, Popovicz et al. also found low sensitivity values for most US features for malignancy. However, microcalcifications and taller than wide shape features had high specificity (50). Moreover, in another study including 550 patients with multinodular goiter, Salmaslioglu et al. found that the presence of microcalcifications had a sensitivity of 89.3% for malignancy (57). The best diagnostic performance in the present meta-analysis was seen for absence of elasticity. Usually, elasticity is described in a scale ranging from 1 to 4 (1–2 being suggestive of a benign nodule and 3–4 of malignancy) or 1–5 (where 1–3 is suggestive of a benign lesion and 4–5 of malignancy) (53,70–72). This US feature was initially described for breast or prostate cancer, but several studies have evaluated its performance to differentiate between malignant and benign thyroid nodules, revealing high sensitivity and specificity (81.8–97% and 81.1–100%) (52,72). A recent meta-analysis including eight studies with a total of 639 nodules diagnosed by FNA cytopathology or histopathology reported a sensitivity of 90% and specificity of 92% for elasticity. However, not all studies included had a final histopathologic diagnosis of the nodule (70). A recent study, which included 498 thyroid nodules evaluated by US, color flux Doppler, and real-time elastography, concluded that the combination of elastography with US parameters increased the sensitivity for malignancy to 97% (73). The present findings have important clinical implications. They reinforce that isolated US features on their own do not provide strong evidence to confirm (likelihood ratio>10) or rule out (likelihood ratio<0.1) a diagnosis of malignancy. The American Thyroid Association recommends the use of a combination of US features to select thyroid nodules that should be biopsied (5). Information about the probability of each US feature to be associated with malignancy would help the clinical decision to perform FNA biopsy. The present findings also suggest that more accurate criteria are needed to recommend surgery in patients with indeterminate cytology. This is an important practical matter, since it would be helpful to select better which patients should be submitted to FNA and, specially, when surgery should be indicated in those nodules with indeterminate cytology (74,75). Attempts have been made to improve patient selection in evaluation of thyroid nodules. Moon et al. evaluated a classification that considered as suspicious for malignancy a nodule that was solid plus having two additional risk features. Those authors found a sensitivity of 87.7%, a specificity of 97.8%, and an overall accuracy of 96.2% (76). A recent, retrospective case-control study of patients who underwent thyroid US reported three ultrasound nodule characteristics (microcalcifications, size >2 cm, and an entirely solid composition) as the only findings associated with the risk of thyroid cancer (77). However, this study has important aspects that limit its generalization such as the low prevalence of thyroid cancer and the definition of noncancerous nodules (78).

Conclusions

The present results show that there is no isolated US feature capable of predicting malignancy in thyroid nodules with acceptable diagnostic accuracy. However, the presence of some US features, such as a microcalcifications, a taller than wide shape, irregular margins, central vascularization, or absence of elasticity probably, will identify nodules with an increased risk for malignancy. Ideally, meta-analyses should be performed with individual patient data, which would enable the creation of a risk classification for malignancy in thyroid nodules considering US features in combination and other risk factors to define better which patients should be submitted to FNA and surgery. Elastography is a new technique and may be a good tool to select patients at increased risk for thyroid malignancy. Nevertheless, more studies are required to standardize the technique and confirm its usefulness.
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1.  Role of color flow Doppler sonography in pre-operative diagnostics of the thyroid pathology.

Authors:  M Giammanco; G Di Gesù; M F Massenti; B Di Trapani; G Vetri
Journal:  Minerva Endocrinol       Date:  2002-03       Impact factor: 2.184

2.  Relative risk of cancer in sonographically detected thyroid nodules with calcifications.

Authors:  S K Kakkos; C D Scopa; A K Chalmoukis; D A Karachalios; J D Spiliotis; J G Harkoftakis; D D Karavias; J A Androulakis; A G Vagenakis
Journal:  J Clin Ultrasound       Date:  2000-09       Impact factor: 0.910

Review 3.  Diagnostic tests 4: likelihood ratios.

Authors:  Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2004-07-17

4.  Ultrasonography: is it useful in the diagnosis of cancer in thyroid nodules?

Authors:  S Peccin; J A S de Castsro; T W Furlanetto; A P A Furtado; B A Brasil; M A Czepielewski
Journal:  J Endocrinol Invest       Date:  2002-01       Impact factor: 4.256

5.  The radiologic work-up in thyroid surgery: fine-needle biopsy versus scintigraphy and ultrasound.

Authors:  Stilianos E Kountakis; Ioannis G Skoulas; A A J Maillard
Journal:  Ear Nose Throat J       Date:  2002-03       Impact factor: 1.697

6.  Color Doppler sonography in cold thyroid nodules for malignancy prediction.

Authors:  A Bozbora; Y Erbil; S Ozarmagan; U Barbaros; S Sari; B Degirmenci
Journal:  Acta Chir Belg       Date:  2002-08       Impact factor: 1.090

7.  [The role of color flow-Doppler ultrasonography in the diagnosis of nodular goiter].

Authors:  C Casella; C Talarico; M La Pinta; R Nascimbeni; F Di Fabio; B Salerni
Journal:  Ann Ital Chir       Date:  2003 Sep-Oct       Impact factor: 0.766

8.  Selection of patients with solitary thyroid nodules for operation.

Authors:  Laurence Leenhardt; Fabrice Menegaux; Brigitte Franc; Thierry Delbot; Georges Mansour; Catherine Hoang; Claudine Guillausseau; Helyett Aurengo; Danièle Le Guillouzic; Gérard Turpin; André Aurengo; Jean Paul Chigot; Gilles Hejblum
Journal:  Eur J Surg       Date:  2002

9.  Predictive factors of thyroid carcinoma in non-toxic multinodular goitre.

Authors:  O Alexopoulou; C Beguin; M Buysschaert; J P Squifflet; C de Burbure; P De Nayer; C Daumerie
Journal:  Acta Clin Belg       Date:  2004 Mar-Apr       Impact factor: 1.264

10.  Thyroid calcification and its association with thyroid carcinoma.

Authors:  Mark L C Khoo; Sylvia L Asa; Ian J Witterick; Jeremy L Freeman
Journal:  Head Neck       Date:  2002-07       Impact factor: 3.147

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  87 in total

1.  Taller-than-wide Thyroid Nodules With Microcalcifications Are at High Risk of Malignancy.

Authors:  Konstantinos D Papapostolou; Catherine C Evangelopoulou; Ioannis A Ioannidis; Georgia N Kassi; Konstantinos S Morfas; Nikolaos I Karaminas; Helen J Karga
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Thyroid Ultrasound Reports: Deficiencies and Recommendations.

Authors:  Laila Qadan; Adel Ahmed; Kusum Kapila
Journal:  Med Princ Pract       Date:  2019-02-10       Impact factor: 1.927

3.  Systematic reviews of diagnostic tests in endocrinology: an audit of methods, reporting, and performance.

Authors:  Gabriela Spencer-Bonilla; Naykky Singh Ospina; Rene Rodriguez-Gutierrez; Juan P Brito; Nicole Iñiguez-Ariza; Shrikant Tamhane; Patricia J Erwin; M Hassan Murad; Victor M Montori
Journal:  Endocrine       Date:  2017-06-05       Impact factor: 3.633

4.  Risk of malignancy in 1502 solid thyroid nodules >1 cm using the new ultrasonographic classification of the American Thyroid Association.

Authors:  Pedro Weslley Rosario; Alexandre Lemos da Silva; Marcelo Saldanha Nunes; Michelle Aparecida Ribeiro Borges; Gabriela Franco Mourão; Maria Regina Calsolari
Journal:  Endocrine       Date:  2016-11-12       Impact factor: 3.633

5.  Diagnostic performance of ATA, BTA and TIRADS sonographic patterns in the prediction of malignancy in histologically proven thyroid nodules.

Authors:  Chiaw Ling Chng; Hong Chang Tan; Chow Wei Too; Wei Ying Lim; Priscilla Pei Sze Chiam; Ling Zhu; Nivedita Vikas Nadkarni; Adoree Yi Ying Lim
Journal:  Singapore Med J       Date:  2018-05-18       Impact factor: 1.858

6.  Thyroid Nodules with Indeterminate Cytology: Utility of the American Thyroid Association Sonographic Patterns for Cancer Risk Stratification.

Authors:  Pablo Valderrabano; Melissa J McGettigan; Cesar A Lam; Laila Khazai; Zachary J Thompson; Christine H Chung; Barbara A Centeno; Bryan McIver
Journal:  Thyroid       Date:  2018-07-17       Impact factor: 6.568

7.  European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS.

Authors:  Gilles Russ; Steen J Bonnema; Murat Faik Erdogan; Cosimo Durante; Rose Ngu; Laurence Leenhardt
Journal:  Eur Thyroid J       Date:  2017-08-08

8.  Use of the Thyroid Imaging Reporting and Data System (TIRADS) in clinical practice: an Italian survey.

Authors:  Giovanni Mauri; Salvatore Gitto; Vito Cantisani; Gianfranco Vallone; Cosima Schiavone; Enrico Papini; Luca Maria Sconfienza
Journal:  Endocrine       Date:  2020-01-25       Impact factor: 3.633

Review 9.  Thyroid nodules and cancer management guidelines: comparisons and controversies.

Authors:  Fadi Nabhan; Matthew D Ringel
Journal:  Endocr Relat Cancer       Date:  2016-12-13       Impact factor: 5.678

10.  Thyroid adenoma and nasopharyngeal carcinoma with metastasis to cervical lymph nodes is misdiagnosed and treated for thyroid carcinoma: A case report.

Authors:  Miao Zhang; Heng Wang; Xuefeng Pan; Wenbin Wu; Hui Zhang
Journal:  Oncol Lett       Date:  2016-05-20       Impact factor: 2.967

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