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Follicular neoplasms of the thyroid. Decision tree approach using morphologic and morphometric parameters
V Deshpande1, K Kapila, K S Sai
1Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.
Acta Cytologica
|March 1, 1997
Summary
This study explored thyroid fine needle aspiration (FNA) to distinguish benign nodules from follicular carcinomas. A decision tree using cellular patterns and nuclear diameter achieved 92.8% sensitivity and 57.4% specificity in differentiating these thyroid lesions.
Area of Science:
- Cytopathology
- Endocrinology
- Surgical Pathology
Background:
- Fine needle aspiration (FNA) of the thyroid faces challenges in differentiating hyperplastic nodular goiters from follicular neoplasms.
- Distinguishing follicular adenomas from follicular carcinomas using FNA remains difficult.
Purpose of the Study:
- To evaluate if morphologic and morphometric parameters, along with ploidy status, can differentiate thyroid hyperplastic nodular goiters from follicular adenomas and carcinomas.
- To develop a classification system for improved diagnostic accuracy in thyroid FNA.
Main Methods:
- Analysis of 75 thyroid fine needle aspiration smears classified as follicular neoplasms.
- Evaluation of morphologic features (cellularity, colloid, cellular patterns) and morphometric parameters (nuclear diameters, nucleoli).
Main Results:
- Specific cellular patterns (honeycomb, single dispersed) and average maximum nuclear diameter showed potential in lesion differentiation.
- These parameters indicated trends towards distinguishing benign from malignant thyroid lesions.
Conclusions:
- A decision tree classification based on cellular patterns and nuclear diameter (9 microns) was developed.
- This classification achieved 92.8% sensitivity and 57.4% specificity in separating benign lesions from follicular carcinomas.