z-logo
open-access-imgOpen Access
Modern methods to differentiate benign thyroid nodules from malignant ones
Author(s) -
L. Eftimie,
Radu Hristu,
M. Dumitrescu,
S.G. Stanciu,
M. Sajin,
G.A. Stanciu
Publication year - 2018
Publication title -
romanian journal of military medicine
Language(s) - English
Resource type - Journals
eISSN - 2501-2312
pISSN - 1222-5126
DOI - 10.55453/rjmm.2018.121.1.7
Subject(s) - thyroid nodules , staining , pathology , microscopy , capsule , adenoma , nodule (geology) , thyroid , chemistry , medicine , biology , paleontology , botany , malignancy
Objective: The purpose of this study is to compare the capsular structure appearing in follicular adenoma and papillary thyroid carcinoma to differentiate the benign and malignant thyroid nodules. Methods: Second Harmonic Generation (SHG) Microscopy was used to image collagen distribution in the capsules of several types of nodules. The tissue fragments were formalin-fixed, paraffin-embedded but without H&E staining, with 4-5 microns thick sections. From the same sample, two consecutive sections were made. The first was colored with H&E and capsule images were acquired with an optical microscope. The second was not colored with H&E. On the uncolored sample, type I collagen from the capsule was visualized by SHG microscopy. In addition, a parameter was used to study the orientation of collagen fibers, obtained from the Fast Fourier Transform (FFT) analysis of 2D-images. Results: SHG microscopy images were acquired to assess the collagen organization of tumoral capsular thyroid nodules previously diagnosed as benign or malignant by conventional H&E staining. Different degree of collagen fibers orientation was observed from the two kinds of capsules and quantified using FFT analysis. Conclusion: These above described microscopy method can be used to distinguish between benign and malignant thyroid nodules, based on different degree of the capsular collagen fibers orientation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here