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An Easy Sonographic Scoring System for Predicting Malignant Thyroid Nodules

18 Years
90 Years
Open (Enrolling)
Thyroid Cancer

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Trial Information

An Easy Sonographic Scoring System for Predicting Malignant Thyroid Nodules


Some sonographic appearance can help in selection of the correct thyroid nodes to aspirate
with US(ultrasound)-guided FNA(fine needle aspiration) biopsy. Findings suggestive for
malignant thyroid cancer include micro-calcification, blurred margins, intra-nodular
vascular pattern, marked hypoechogenicity or taller-than-wide shape.1-3 However, no single
criteria can perfectly predict malignant thyroid nodules. Applied multiple US criteria for
the differentiation of thyroid nodule has an overall accuracy ranging from 59.5 to 73.4%.3


The purpose of our study is to retrospectively evaluate the predictors of malignant thyroid
nodules and established an useful scoring system based on sonographic findings and
demographic data.

Material and methods:

This study will be conducted according to the principle of Helsinki declaration and the
guidelines of the institutional ethical committee. We want to retrospectively review the
medical records of 479 nodules which underwent head and neck ultrasound(US) examination and
US-FNA cytology from 2007 July to 2010 Dec at Department of Otolaryngology, Far Eastern
Memorial Hospital, Taipei, Taiwan. No patient included in this series had a previous
diagnosis of thyroid malignancy.

Equipment for US studies consisted of a color Doppler US unit (Philips HDI 5000, Bothell,
WA) and a 5-12 MHz broadband linear array transducer. Nodules were measured with AP and
transverse (T) diameters in transverse section. Settings of power Doppler sonography were
set for high sensitivity with a low wall filter to allow detection of vessels with low blood
flow. The color gain was increased until background noise appeared and then reduced until
the noise was suppressed, thus ensuring maximum sensitivity according to Bude and Rubin's
description.4 The vascularity types are classified as avascular, peripheral and intra-nodule
types1,5. The echo structure (predominantly solid or cyst), internal echo (homogeneous or
heterogenicity), echogenicity (hyperechoic, isoechoic, hypoechoic), presented
micro-calcification, and characteristics of nodule margin (well-defined or ill defined) were
assessed. Thyroid incidentalomas are thyroid nodules without clinically apparent tumor but
are incidentally found by US.

US-FNA was carried out with the array probe guiding the placement of a 22-gauge fine needle
after informed consent was obtained. The final diagnosis of a lesion as benign (n=449) or
malignancy (n=30) was confirmed by FNA biopsy. The relationship between demographic data,
sonographic features and final diagnosis, i.e. benign or malignant disease was analyzed in
all 479 nodules. In univariate analysis, Chi-square test or Fisher exact test was performed
to compare for categorical variables, and student t- test for continuous variables. A
stepwise multivariate logistic regression analysis was applied to identify significant
independent variables for prophesying malignant nodal disease. The level of significance was
set at p < 0.05. The predictive formula was based on multivariate logistic regression
analysis and programmed into a real-time, computerized sonographic reporting system.
Hosmer-Lemeshow test6 was carried out to verify the significance of the prediction model.
The association between prediction score and malignant nodal disease was analyzed using the
receiver operating characteristic (ROC) curve. An optimal cutoff point was determined at the
point of greatest "sensitivity" with the corresponding smallest "1-specificity".7 The
c-value as a measure for the area under the curve represented the diagnostic accuracy of the
model.8 All statistical analyses were accomplished using SAS software, version 9.1 (SAS
Institute, Inc, Cary, North Carolina).

Expected Results: A simple and practical sonographic scoring system would be built to
provide the physician prompt and reliable probability guidance for FNA cytology while
managing thyroid nodule.


1. Cappelli C, Castellano M, Pirola Iet al. The predictive value of ultrasound findings in
the management of thyroid nodules. Qjm 2007; 100:29.

2. Kim E, Park C, Chung Wet al. New sonographic criteria for recommending fine-needle
aspiration biopsy of nonpalpable solid nodules of the thyroid. American Journal of
Roentgenology 2002; 178:687.

3. Moon W, Jung S, Lee Jet al. Benign and Malignant Thyroid Nodules: US
Differentiation—Multicenter Retrospective Study1. Radiology 2008; 247:762.

4. Bude R, Rubin J. Power Doppler sonography. Radiology 1996; 200:21.

5. Rago T, Vitti P, Chiovato Let al. Role of conventional ultrasonography and color
flow-doppler sonography in predicting malignancy in'cold'thyroid nodules. European
Journal of Endocrinology 1998; 138:41.

6. Lemeshow S, Hosmer Jr D. A review of goodness of fit statistics for use in the
development of logistic regression models. American Journal of Epidemiology 1982;

7. Akobeng A. Understanding diagnostic tests 3: receiver operating characteristic curves.
Acta Paediatrica 2007; 96:644-647.

8. McNeil B, Hanley J. The meaning and use of the area under a receiver operating
characteristic (ROC) curve. Radiology 1982; 143:29-36.

Inclusion Criteria:

nodules which underwent head and neck ultrasound(US) examination and US-FNA cytology from
2007 July to 2010 Dec at Department of Otolaryngology, Far Eastern Memorial Hospital,
Taipei, Taiwan.

Exclusion Criteria:

a previous diagnosis of thyroid malignancy before US exam

Type of Study:


Study Design:

Time Perspective: Retrospective


Taiwan: Department of Health

Study ID:




Start Date:

December 2010

Completion Date:

August 2013

Related Keywords:

  • Thyroid Cancer
  • fine needle aspiration; predictor; ultrasonography; thyroid cancer
  • Thyroid Neoplasms
  • Thyroid Diseases
  • Thyroid Nodule