Journals / Haseki Tıp Bülteni / 2010 / Cilt: 48 - Sayı: 1

Algorithmic approach to thyroid nodules

Tiroid nodüllerine algoritmik yaklaşım

Pages
1–8
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this review, we present an algorithmic approach to the evaluation of the thyroid nodule.

📌 3 Key Takeaways

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Objective & Hypothesis:Thyroid nodule is a commonly seen problem.
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Key Findings & Data:They are found in 4%-8% of adults by palpation.
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Conclusion & Impact:In this review, we present an algorithmic approach to the evaluation of the thyroid nodule.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Thyroid nodule is a commonly seen problem. They are found in 4%-8% of adults by palpation. Increasing number of nodules are being recognized incidentally due to the wider use of neck imaging.The primary goal in investigating a thyroid nodule is to eliminate the possibility of malignancy. Malignancy requires surgical intervention, but in benign conditions, strict follow-up of the patient can be enough in some cases. Evaluation of the thyroid nodule begins with learning the exact family history and previous exposure to radiation. Clinical examination of the neck should focus on the thyroid gland and presence of any cervical lymphadenopathy. Ultrasonography and the other imaging techniques applied to the thyroid gland can be used to determine the changes in nodule size and its relations with the surrounding structures. There is no specific US finding that suggests malignancy. Fine-needle aspiration biopsy (FNAB) is crucial and gold standard in the selection of the patients for surgery. FNAB provides highly accurate cytological information about thyroid nodules and therefore, definitive management plan can be designed. Surgery is obligatory in cytologically malignant nodules or in the nodules suspicious for malignancy. The definitive diagnosis and consequent therapy are based on the histological results after surgery. In this review, we present an algorithmic approach to the evaluation of the thyroid nodule.

Özet

Tiroid nodülleri sık bir problemdir. Palpasyonla erişkinlerde %4-8'inde bulunur. Nodüllerin giderek artan sayıda saptanmasının nedeni boyun ultrasonografisinin daha yaygın olarak kullanılması ile tesadüfen saptanmasıdır. Tiroid nodülünün araştırılmasında primer amaç malignite olasılığının ekarte edilmesidir. Ma-lignite cerrahi gerektirir, fakat benign durumlarda sadece hastanın sıkı takip edilmesi yeterlidir. Tiroid nodülünü değerlendirmesi tam bir aile hikayesi ve evvelden radrasyon hikayesi araştırması ile başlar. Boyun klinik muayenesinde tiroid bezine ve boyun lenf nodlarına odaklanılır. Ultrasonografi ve diğer tiroid bezi görüntüleme teknikleri tioid nodüllerindeki değişimleri ve çevre yapılar ile ilişkilerini değerlendirmede kullanılabildiği halde USG'nin maligni-teyi gösteren spesifik bulguları yoktur. ince iğne aspirasyon biyopsisi (İİAB) elzemdir ve cerrahi için hasta seçiminde altın standarttır. İİAB tiroid nodülleri hakkında oldukça yüksek doğrulukta sitolojik bilgiler sağlayarak hastaya yaklaşımda plan yapılmasına olanak sağlar. Cerrahi sitolojik olarak malign veya malignite süp-hesi olan nodüllerde elzemdir. Kati tanı ve sonrasında tedavi cerrahi sonrası histopatolojik sonuçlar neticesinde tasarlanır. Bu derlemede tiroid nodüllerine algoritmik bir yaklaşımı sunduk.

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Cite This Article

VEYSELLER, B., AKSOY, F., İVGİN, F. G. B. (2010). Algorithmic approach to thyroid nodules. Haseki Tıp Bülteni, Cilt: 48 - Sayı: 1, 1–8. https://ajindex.com/articles/268265

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References (1)

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