A Real-time and Computerized Sonographic Reporting System in Predicting Malignant Cervical Lymphadenopathy

NCT ID: NCT01130402

Last Updated: 2010-05-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

189 participants

Study Classification

OBSERVATIONAL

Study Start Date

2009-06-30

Study Completion Date

2009-09-30

Brief Summary

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The investigaotors want to establish a real-time and computerized score reporting system based on the significant predictors of the measured sonographic parameters and demographic data.

Detailed Description

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One hundred eight patients with neck lymphadenopathy, receiving ultrasonography and ultrasound-guided fine-needle aspiration (US-FNA), were used to construct a predictive model. This model was validated by another independent patient cohort.

Conditions

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Lymphadenopathy

Study Design

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Study Time Perspective

RETROSPECTIVE

Study Groups

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Neck masses

Patients with previously untreated neck masses

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Patients with previously untreated neck masses underwent neck US

Exclusion Criteria

* The neck mass was not lymph node
* No US-FNA cytology result
Minimum Eligible Age

10 Years

Maximum Eligible Age

83 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Far Eastern Memorial Hospital

OTHER

Sponsor Role lead

Responsible Party

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Far Eastern Memorial Hospital, Taipei, Taiwan

Principal Investigators

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Li-Jen Liao, MD

Role: STUDY_DIRECTOR

Department of Otolaryngology, Far Eastern Memorial Hospital, Taipei, Taiwan

Locations

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Far Eastern Memorial Hospital

Taipei, , Taiwan

Site Status

Countries

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Taiwan

References

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Liao LJ, Wang CT, Young YH, Cheng PW. Real-time and computerized sonographic scoring system for predicting malignant cervical lymphadenopathy. Head Neck. 2010 May;32(5):594-8. doi: 10.1002/hed.21225.

Reference Type RESULT
PMID: 19693943 (View on PubMed)

Other Identifiers

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098026-3

Identifier Type: -

Identifier Source: org_study_id

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