Application of Ultrasonic Gray-scale Ratio in Differentiating Benign From Malignant Thyroid Nodules.

October 6, 2018 updated by: First People's Hospital of Hangzhou
According to the grades of echogenicity to evulated thyroid nodules is a subjective process and is thus influenced by the observer's judgement. The investigators first proposed the ultrasound gray-scale ratio (UGSR) to explore its efficacy for differentiating papillary thyroid microcarcinomas from small nodular goiters.

Study Overview

Status

Unknown

Conditions

Detailed Description

Echogenicity is a common ultrasonic parameter to evaluate thyroid nodules. The echogenicity of the thyroid nodule was divided into 5 grades according to gray scale. Of the five categories, the diagnostic values of the hypoechoic and markedly hypoechoic categories have been widely accepted for thyroid malignant nodules. However, distinguishing between hypoechoic and markedly hypoechoic categories is a subjective process and is thus influenced by the observer's judgement. A more objective method should be proposed to differentiate papillary thyroid microcarcinoma(PTMC) from small nodular goiter(NG).

The investigators suspect the echo intensity of nodules could be reflected by values, as CT values reflecting the nodule density. The investigators first proposed the ultrasound gray-scale ratio (UGSR), namely, the ratio of lesion gray-scale value to surrounding normal thyroid tissue, and the previous study showed UGSR can better display the relationship of gray scale of PTMC or NG with surrounding normal thyroid tissue, and can make objective judgment of the nodules through quantitative results.

As the absolute ultrasound grayscale value is affected by the apparatus, scan gain, dynamic range, frequency, and operators. The investigators would collected different data acquired from different parameters to explore their potential relations.

Study Type

Observational

Enrollment (Anticipated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Zhejiang
      • Hangzhou, Zhejiang, China, 310006
        • The First People's Hospital of Hangzhou

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients diagnosed with thyroid nodules by ultrasound or incidentally noted on other imaging tests.

Description

Inclusion Criteria:

  • patients diagnosed as thyroid nodule.
  • homo-echogenicity of normal thyroid tissue.
  • able and willing to comply with all study requirements.

Exclusion Criteria:

  • nodules are mainly cystic or calcified.
  • pathology confirmed Hashimoto's thyroiditis.
  • unable or unwilling to comply with all study requirements.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
pathologically results
finally proved by pathologically results
evaluate by ultrasound gray-scale ratio
the results confirmed by the cut-off value of ultrasound gray-scale ratio
RADinfo radiograph reading system was used to measure the gray-scales of PTMC, NG, and thyroid tissues at the same gain level, the UGSR values of the PTMC, NG, and thyroid tissue were calculated.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The diagnostic value of UGSR in differentiating benign from malignant thyroid nodules.
Time Frame: All the data will be uploaded in 1 year.
The accuracy, sensitivity and specificity of UGSR in differentiating benign from malignant thyroid nodules.
All the data will be uploaded in 1 year.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The best UGSR in differentiating benign from malignant thyroid nodules.
Time Frame: All the data will be uploaded in 1 year.
The cut-off value of UGSR in differentiating benign from malignant thyroid nodules.
All the data will be uploaded in 1 year.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Zhijiang Han, Doctor, The Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

October 1, 2018

Primary Completion (Anticipated)

October 1, 2019

Study Completion (Anticipated)

October 1, 2020

Study Registration Dates

First Submitted

July 7, 2018

First Submitted That Met QC Criteria

October 6, 2018

First Posted (Actual)

October 9, 2018

Study Record Updates

Last Update Posted (Actual)

October 9, 2018

Last Update Submitted That Met QC Criteria

October 6, 2018

Last Verified

October 1, 2018

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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