Details

Autor(en) / Beteiligte

• Noltes, Milou E.
• Bader, Maximilian
• Metman, Madelon J. H.
• Vonk, Jasper
• Steinkamp, Pieter J.
• Kukačka, Jan
• Westerlaan, Henriette E.
• Dierckx, Rudi A. J. O.
• van Hemel, Bettien M.
• Brouwers, Adrienne H.
• van Dam, Gooitzen M.
• Jüstel, Dominik
• Ntziachristos, Vasilis
• Kruijff, Schelto

Titel

Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography

Ist Teil von

• European journal of nuclear medicine and molecular imaging, 2023-07, Vol.50 (9), p.2736-2750

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Purpose Patient-tailored management of thyroid nodules requires improved risk of malignancy stratification by accurate preoperative nodule assessment, aiming to personalize decisions concerning diagnostics and treatment. Here, we perform an exploratory pilot study to identify possible patterns on multispectral optoacoustic tomography (MSOT) for thyroid malignancy stratification. For the first time, we directly correlate MSOT images with histopathology data on a detailed level. Methods We use recently enhanced data processing and image reconstruction methods for MSOT to provide next-level image quality by means of improved spatial resolution and spectral contrast. We examine optoacoustic features in thyroid nodules associated with vascular patterns and correlate these directly with reference histopathology. Results Our methods show the ability to resolve blood vessels with diameters of 250 μm at depths of up to 2 cm. The vessel diameters derived on MSOT showed an excellent correlation ( R 2 -score of 0.9426) with the vessel diameters on histopathology. Subsequently, we identify features of malignancy observable in MSOT, such as intranodular microvascularity and extrathyroidal extension verified by histopathology. Despite these promising features in selected patients, we could not determine statistically relevant differences between benign and malignant thyroid nodules based on mean oxygen saturation in thyroid nodules. Thus, we illustrate general imaging artifacts of the whole field of optoacoustic imaging that reduce image fidelity and distort spectral contrast, which impedes quantification of chromophore presence based on mean concentrations. Conclusion We recommend examining optoacoustic features in addition to chromophore quantification to rank malignancy risk. We present optoacoustic images of thyroid nodules with the highest spatial resolution and spectral contrast to date, directly correlated to histopathology, pushing the clinical translation of MSOT.