ArticleProceedings of the National Academy of Sciences of the United States of America2019
Preoperative metabolic classification of thyroid nodules using mass spectrometry imaging of fine-needle aspiration biopsies.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 49 citations in OpenAlex.
- Molecular Testing for Thyroid Nodules of Indeterminate Cytology: A Health Technology Assessment.Ontario health technology assessment series · 2022Trial
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Towards an Integrated Multi-Omic Approach to Improve the Diagnostic Accuracy of Fine-Needle Aspiration in Thyroid Nodules with Indeterminate Cytology.Diagnostics (Basel, Switzerland) · 2025Review
- Cancer Cell Line Classification Using Raman Spectroscopy of Cancer-Derived Exosomes and Machine Learning.Analytical chemistry · 2025Article
- Review
- Application progress of artificial intelligence in managing thyroid disease.Frontiers in endocrinology · 2025Review
- Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.Biomedicines · 2024Article
- Aggregated Molecular Phenotype Scores: Enhancing Assessment and Visualization of Mass Spectrometry Imaging Data for Tissue-Based Diagnostics.Analytical chemistry · 2023Article
- Evaluating the Generalizability of Predictive Classifiers Built from DESI Imaging Lipid Data across Mass Spectrometry Platforms.Journal of the American Society for Mass Spectrometry · 2023Article
- Mass Spectrometry Imaging Reveals Abnormalities in Cardiolipin Composition and Distribution in Astrocytoma Tumor Tissues.Cancers · 2023Article
- Integrated analysis of circulating and tissue proteomes reveals that fibronectin 1 is a potential biomarker in papillary thyroid cancer.BMC cancer · 2023Article
- Spatial metabolomics reveals skeletal myofiber subtypes.Science advances · 2023Article
- The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update.Cancers · 2023Review
- Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology.International journal of molecular sciences · 2022Review
- Cytomolecular Classification of Thyroid Nodules Using Fine-Needle Washes Aspiration Biopsies.International journal of molecular sciences · 2022Article
- [Performance Comparison of Two Cryosection Embedding Agents Used for Desorption Electrospray Ionization Mass Spectrometry Imaging].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Article
- Molecular Pathological Diagnosis of Thyroid Tumors Using Spatially Resolved Metabolomics.Molecules (Basel, Switzerland) · 2022Article
- Applications of spatially resolved omics in the field of endocrine tumors.Frontiers in endocrinology · 2022Review
- Pilot imaging study of o-BMVC foci for discrimination of indeterminate cytology in diagnosing fine-needle aspiration of thyroid nodules.Scientific reports · 2021Article
- Ex vivo thyroid fine needle aspirations as an alternative for MALDI-MSI proteomic investigation: intra-patient comparison.Analytical and bioanalytical chemistry · 2021Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid neoplasia is common and requires appropriate clinical workup with imaging and fine-needle aspiration (FNA) biopsy to evaluate for cancer. Yet, up to 20% of thyroid nodule FNA biopsies will be indeterminate in diagnosis based on cytological evaluation. Genomic approaches to characterize the malignant potential of nodules showed initial promise but have provided only modest improvement in diagnosis. Here, we describe a method using metabolic analysis by desorption electrospray ionization mass spectrometry (DESI-MS) imaging for direct analysis and diagnosis of follicular cell-derived neoplasia tissues and FNA biopsies. DESI-MS was used to analyze 178 tissue samples to determine the molecular signatures of normal, benign follicular adenoma (FTA), and malignant follicular carcinoma (FTC) and papillary carcinoma (PTC) thyroid tissues. Statistical classifiers, including benign thyroid versus PTC and benign thyroid versus FTC, were built and validated with 114,125 mass spectra, with accuracy assessed in correlation with clinical pathology. Clinical FNA smears were prospectively collected and analyzed using DESI-MS imaging, and the performance of the statistical classifiers was tested with 69 prospectively collected clinical FNA smears. High performance was achieved for both models when predicting on the FNA test set, which included 24 nodules with indeterminate preoperative cytology, with accuracies of 93% and 89%. Our results strongly suggest that DESI-MS imaging is a valuable technology for identification of malignant potential of thyroid nodules.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.