ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2017
Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Among Malignant, Benign, and Normal Thyroids in an Ex Vivo Study With Human Thyroids.
Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography.European journal of nuclear medicine and molecular imaging · 2023Article
- Photoacoustic imaging for characterization of radiofrequency ablated cardiac tissues.Lasers in medical science · 2023Review
- Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends.Frontiers in physiology · 2022Review
- Automatic cancer tissue detection using multispectral photoacoustic imaging.International journal of computer assisted radiology and surgery · 2020Article
- Multiview spatial compounding using lens-based photoacoustic imaging system.Photoacoustics · 2019Article
- State-of-the-Art Preclinical Photoacoustic Imaging in Oncology: Recent Advances in Cancer Theranostics.Contrast media & molecular imaging · 2019Review
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Authors and funding
4 authors.
Funding
Abstract
objectivesThis study investigated the capability of spectral parameters, extracted by frequency domain analysis of photoacoustic signals, to differentiate among malignant, benign, and normal thyroid tissue.
methodsWe acquired multiwavelength photoacoustic images of freshly excised thyroid specimens collected from 50 patients who underwent thyroidectomy after having a diagnosis of suspected thyroid lesions. A thyroid cytopathologist marked histologic slides of each tissue specimen. These marked slides were used as ground truth to identify the regions of interest (ROIs) corresponding to malignant, benign, and normal thyroid tissue. Three spectral parameters: namely, slope, midband fit, and intercept, were extracted from photoacoustic signals corresponding to different ROIs.
resultsSpectral parameters were extracted from a total of total of 65 ROIs. According to the ground truth, 12 of 65 ROIs belonged to malignant thyroids; 28 of 65 ROIs belonged to benign thyroids; and 25 of 65 ROIs belonged to normal thyroids. Besides slope, the other 2 spectral parameters and grayscale photoacoustic image pixel values were found to be significantly different (P < .05) between malignant and normal thyroids. Between benign and normal thyroids, all 3 spectral parameters and photoacoustic pixel values were significantly different (P < .05).
conclusionsPreliminary results of our ex vivo human thyroid study show that the spectral parameters extracted from radiofrequency photoacoustic signals as well as the pixel values of 2-dimensional photoacoustic images can be used for differentiating among malignant, benign, and normal thyroid tissue.
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