Fine-needle aspiration biopsies (FNA) represent the gold standard to exclude the malignant nature of thyroid nodules. After cytomorphology, 20–30% of cases are deemed “indeterminate for malignancy” and undergo surgery. However, after thyroidectomy, 70–80% of these nodules are benign. The identification of tools for improving FNA’s diagnostic performances is explored by matrix-assisted laser-desorption ionization mass spectrometry imaging (MALDI-MSI). A clinical study was conducted in order to build a classification model for the characterization of thyroid nodules on a large cohort of 240 samples, showing that MALDI-MSI can be effective in separating areas with benign/malignant cells. The model had optimal performances in the internal validation set (n = 70), with 100.0% (95% CI = 83.2–100.0%) sensitivity and 96.0% (95% CI = 86.3–99.5%) specificity. The external validation (n = 170) showed a specificity of 82.9% (95% CI = 74.3–89.5%) and a sensitivity of 43.1% (95% CI = 30.9–56.0%). The performance of the model was hampered in the presence of poor and/or noisy spectra. Consequently, restricting the evaluation to the subset of FNAs with adequate cellularity, sensitivity improved up to 76.5% (95% CI = 58.8–89.3). Results also suggest the putative role of MALDI-MSI in routine clinical triage, with a three levels diagnostic classification that accounts for an indeterminate gray zone of nodules requiring a strict follow-up.

Capitoli, G., Piga, I., L'Imperio, V., Clerici, F., Leni, D., Garancini, M., et al. (2022). Cytomolecular Classification of Thyroid Nodules Using Fine-Needle Washes Aspiration Biopsies. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 23(8) [10.3390/ijms23084156].

Cytomolecular Classification of Thyroid Nodules Using Fine-Needle Washes Aspiration Biopsies

Capitoli G.;Piga I.;L'imperio V.;Clerici F.;Garancini M.;Casati G.;Galimberti S.;Magni F.;Pagni F.
2022

Abstract

Fine-needle aspiration biopsies (FNA) represent the gold standard to exclude the malignant nature of thyroid nodules. After cytomorphology, 20–30% of cases are deemed “indeterminate for malignancy” and undergo surgery. However, after thyroidectomy, 70–80% of these nodules are benign. The identification of tools for improving FNA’s diagnostic performances is explored by matrix-assisted laser-desorption ionization mass spectrometry imaging (MALDI-MSI). A clinical study was conducted in order to build a classification model for the characterization of thyroid nodules on a large cohort of 240 samples, showing that MALDI-MSI can be effective in separating areas with benign/malignant cells. The model had optimal performances in the internal validation set (n = 70), with 100.0% (95% CI = 83.2–100.0%) sensitivity and 96.0% (95% CI = 86.3–99.5%) specificity. The external validation (n = 170) showed a specificity of 82.9% (95% CI = 74.3–89.5%) and a sensitivity of 43.1% (95% CI = 30.9–56.0%). The performance of the model was hampered in the presence of poor and/or noisy spectra. Consequently, restricting the evaluation to the subset of FNAs with adequate cellularity, sensitivity improved up to 76.5% (95% CI = 58.8–89.3). Results also suggest the putative role of MALDI-MSI in routine clinical triage, with a three levels diagnostic classification that accounts for an indeterminate gray zone of nodules requiring a strict follow-up.
Articolo in rivista - Articolo scientifico
diagnostic classification; fine-needle aspiration biopsies; MALDI-MSI; proteomic analysis; thyroid carcinoma;
English
Capitoli, G., Piga, I., L'Imperio, V., Clerici, F., Leni, D., Garancini, M., et al. (2022). Cytomolecular Classification of Thyroid Nodules Using Fine-Needle Washes Aspiration Biopsies. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 23(8) [10.3390/ijms23084156].
Capitoli, G; Piga, I; L'Imperio, V; Clerici, F; Leni, D; Garancini, M; Casati, G; Galimberti, S; Magni, F; Pagni, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/369993
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