Thyroid Disease Diagnosis by Mutiple Ultrasonic Factors.

June 8, 2021 updated by: National Taiwan University Hospital

Diagnosis of Thyroid Tumors by Multiple Ultrasonic Factors.

In the outpatient clinic based population setting, the investigators want to reappraise the accuracy of the new model of multi-factorial ultrasound diagnosis with the conventional fine-needle aspiration cytology.

Study Overview

Status

Recruiting

Detailed Description

4 to 7 percent of adult population has a palpable thyroid nodule and 17% to 27% of cases can be found when examined by sonography. Although the incidence of the thyroid nodules is high, only 1 of 20 clinically identified nodules is malignant.

Several gray scale sonographic characteristics have been suggestive of malignancy, including hypoechoigenicity, micro calcification, blurred margin and intranodular vascularity. The intranodular vascularity has been studied in several researches. But the previous studies usually evaluated the vascularity by color Doppler sonography and only divided into several categories subjectively. And the result is controversial.

The evaluation of the tumor microcirculation by Doppler ultrasound has been used in many tumors and defined as vascularity index (VI). The power Doppler sonography has many advantages over color Doppler ultrasound in studying the vascularity. It is more sensitive, less noisy. Power Doppler can detect the blood flow of small internal tumor vessels with a diameter of less than 100μm at slow flow rates on the order of a few mm per second1,2 According to our previous study, the vascularity index(PDVI) of thyroid tumor by power Doppler ultrasound between benign and malignant one are statistically different.

In the present study, the investigators examine different PDVI of thyroid tumors and the traditional(B-mode)ultrasound features including the heterogeneity, echogenicity, margin status, and the presence of microcalcification. The investigators consider the several factors simultaneously by statistical model (PCA, FLD). In the outpatient clinic based population setting, the investigators want to reappraise the accuracy of the new model of multi-factorial ultrasound diagnosis with the conventional fine-needle aspiration cytology.

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 Contact

Study Locations

      • Taipei, Taiwan
        • Recruiting
        • National Taiwan University Hospital
        • Contact:

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

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The investigators plan to recruit 300 patients who have discrete solid thyroid tumors need to undergo fine-needle aspiration cytology to provide the tentative diagnosis. The inclusion criteria were discrete thyroid tumors with mainly solid content (>50% solid content) and diameter of tumors between 0.5-3cm. The exclusion criteria were abnormal thyroid function, past history of thyroiditis, multinodular goiter, and cystic tumors.

Description

Inclusion Criteria:

  • patients who have discrete solid thyroid tumors need to undergo fine-needle aspiration cytology to provide the tentative diagnosis
  • discrete thyroid tumors with mainly solid content (>50% solid content) and diameter of tumors between 0.5-3cm

Exclusion Criteria:

  • abnormal thyroid function, past history of thyroiditis, multinodular goiter, and cystic tumors.

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ultrasound evaluation
Time Frame: 3 days
Patients who were eligible for this trial will receive the new model of ultrasound evaluation . The traditional features including echogenicity, margin, heterogeneity, size and the presence of microcalcification will be recorded in the same time. Then the investigators evaluate the thyroid tumor vascularity in sagittal and transverse section by power Doppler mode (wall filter (WF): medium, colour power angiography (CPA): 82, retroperitoneal fibrosis (RPF): 1000). The DICOM data of the vascularity index(PDVI) will be collected and analyzed later.
3 days

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Kuen-Yuan Chen, MD, National Taiwan University Hospital

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

July 1, 2008

Primary Completion (ANTICIPATED)

December 31, 2022

Study Completion (ANTICIPATED)

December 31, 2022

Study Registration Dates

First Submitted

May 12, 2020

First Submitted That Met QC Criteria

May 12, 2020

First Posted (ACTUAL)

May 15, 2020

Study Record Updates

Last Update Posted (ACTUAL)

June 9, 2021

Last Update Submitted That Met QC Criteria

June 8, 2021

Last Verified

June 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 200805039R

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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