Literature DB >> 34090820

American Association of Clinical Endocrinology And Associazione Medici Endocrinologi Thyroid Nodule Algorithmic Tool.

Jeffrey R Garber1, Enrico Papini2, Andrea Frasoldati3, Mark A Lupo4, R Mack Harrell5, Sareh Parangi6, Vivek Patkar7, Zubair W Baloch8, Rachel Pessah-Pollack9, Laszlo Hegedus10, Anna Crescenzi11, Carrie C Lubitz12, Ralf Paschke13, Gregory W Randolph14, Rinaldo Guglielmi2, Celestino P Lombardi15, Hossein Gharib16.   

Abstract

OBJECTIVE: The first edition of the American Association of Clinical Endocrinology/American College of Endocrinology/Associazione Medici Endocrinologi Guidelines for the Diagnosis and Management of Thyroid Nodules was published in 2006 and updated in 2010 and 2016. The American Association of Clinical Endocrinology/American College of Endocrinology/Associazione Medici Endocrinologi multidisciplinary thyroid nodules task force was charged with developing a novel interactive electronic algorithmic tool to evaluate thyroid nodules.
METHODS: The Thyroid Nodule App (termed TNAPP) was based on the updated 2016 clinical practice guideline recommendations while incorporating recent scientific evidence and avoiding unnecessary diagnostic procedures and surgical overtreatment. This manuscript describes the algorithmic tool development, its data requirements, and its basis for decision making. It provides links to the web-based algorithmic tool and a tutorial.
RESULTS: TNAPP and TI-RADS were cross-checked on 95 thyroid nodules with histology-proven diagnoses.
CONCLUSION: TNAPP is a novel interactive web-based tool that uses clinical, imaging, cytologic, and molecular marker data to guide clinical decision making to evaluate and manage thyroid nodules. It may be used as a heuristic tool for evaluating and managing patients with thyroid nodules. It can be adapted to create registries for solo practices, large multispecialty delivery systems, regional and national databases, and research consortiums. Prospective studies are underway to validate TNAPP to determine how it compares with other ultrasound-based classification systems and whether it can improve the care of patients with clinically significant thyroid nodules while reducing the substantial burden incurred by those who do not benefit from further evaluation and treatment.
Copyright © 2021 AACE. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  algorithms; diagnostic techniques; fine-needle aspiration; internet; practice guidelines

Mesh:

Year:  2021        PMID: 34090820     DOI: 10.1016/j.eprac.2021.04.007

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  3 in total

Review 1.  A Case-Based Comparison of the American Thyroid Association and Thyroid Imaging Reporting & Data System Guidelines.

Authors:  Leslie Shang; Rob Downing; Betty Drees; Lamont Weide
Journal:  Mo Med       Date:  2022 Jul-Aug

2.  Summary of Meta-analyses of Studies Involving TIRADS Classifications (EU-TIRADS, ACR-TIRADS, and K-TIRADS) in Evaluating the Malignant Potential of Focal Lesions of The Thyroid Gland.

Authors:  Katarzyna Dobruch-Sobczak; Zbigniew Adamczewski; Marek Dedecjus; Andrzej Lewiński; Bartosz Migda; Marek Ruchała; Anna Skowrońska-Szcześniak; Ewelina Szczepanek-Parulska; Klaudia Zajkowska; Agnieszka Żyłka
Journal:  J Ultrason       Date:  2022-04-27

3.  Point of Care Measurement of Body Mass Index and Thyroid Nodule Malignancy Risk Assessment.

Authors:  Sara Ahmadi; Theodora Pappa; Alex S Kang; Alexandra K Coleman; Iñigo Landa; Ellen Marqusee; Matthew Kim; Trevor E Angell; Erik K Alexander
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-11       Impact factor: 5.555

  3 in total

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