Physiological Uptake of Radioactive Iodine Around an Artificial Eyeball Observed with Single-Photon Emission Computed Tomography/Computed Tomography After Radioactive Iodine Treatment

Lee, Ji Young; Song, Hee-Sung; Kang, Myoungsihn

doi:10.1007/s13139-020-00651-w

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…If clinicians do not have sufficient experience, they are likely to miss the diagnosis and misdiagnose [5]. e above examination methods mainly observe the anatomical changes of the lesion, while nuclear medicine combines function and anatomy to accurately locate, stage, and prognosis [6]. In addition, single-photon emission computed tomography (SPECT) is the most widely utilized nuclear medicine examination in clinical practice [7].…”

Section: Introductionmentioning

confidence: 99%

Single-Photon Emission Computed Tomography Image-Assisted Diagnosis of Thyroid Diseases under Convolutional Network Neural Algorithm

Chen

Gong

et al. 2021

Scientific Programming

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The aim of this study was to investigate the value of single-photon emission computed tomography (SPECT) based on the convolutional neural network (CNN) algorithm in thyroid diseases. Thirty-five patients with thyroid disease from the hospital were selected as the observation group, and another 35 healthy volunteers were selected as the control group. The constructed model of SPECT based on the CNN algorithm was compared with the backpropagation neural network (BPNN) algorithm, which was then applied to the SPECT of 35 patients with thyroid disease. It turned out that as the number of iterations increased, the parameter training of CNN was gradually sufficient, the network model was continuously optimized, and the accuracy gradually increased. From the data results, the Dice value of the proposed CNN algorithm was higher than that of the BPNN algorithm and the segmentation effect was relatively good. The visual index of the thyroid/neck of the observation group (2.68 ± 1.32) was remarkably inferior to that of the control group (12.347.54) ( P < 0.05 ). The visual index of the thyroid/submandibular gland in the observation group (1.02 ± 0.41) was remarkably inferior to that of the control group (8.89 ± 4.86) ( P < 0.05 ). The visual index of the thyroid/parotid gland in the observation group (1.04 ± 0.58) was remarkably inferior to that of the control group (8.53 ± 4.25) ( P < 0.05 ). In addition, 99mTcO4-SPECT had a sensitivity of 95.2%, a specificity of 90.3%, and an accuracy of 91.5% in the diagnosis of thyroid diseases. The area under the curve of the receiver operating characteristic curve for 99mTcO4-SPECT diagnosis of thyroid disease is 0.958, and the 95% confidence interval is 0.834∼1. In summary, the SPECT based on the CNN algorithm proposed in this study has a good segmentation effect and can accurately locate the anatomical information of thyroid diseases, which can replace the traditional diagnostic methods for the diagnosis of thyroid diseases.

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Section: Introductionmentioning

confidence: 99%

Single-Photon Emission Computed Tomography Image-Assisted Diagnosis of Thyroid Diseases under Convolutional Network Neural Algorithm

Chen

Gong

et al. 2021

Scientific Programming

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“…Finally, epithelial conjunctival inclusion cyst was diagnosed. In a few cases reported, orbital uptake of 131 I was caused by thyroid cancer metastases to the orbits, but more frequently, it was caused by inflammatory conditions such as uveitis, dacryocystitis, or presence of ocular prosthesis 1–5 . In the latter cases, lacrimal drainage system blockade or nonspecific concentration of iodine in inflamed tissues explained increased 131 I orbital uptake.…”

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confidence: 98%

“…In a few cases reported, orbital uptake of 131 I was caused by thyroid cancer metastases to the orbits, but more frequently, it was caused by inflammatory conditions such as uveitis, dacryocystitis, or presence of ocular prosthesis. [1][2][3][4][5] In the latter cases, lacrimal drainage system blockade or nonspecific concentration of iodine in inflamed tissues explained increased 131 I orbital uptake. Similar mechanism, that is, prolonged retention of 131 I in the tears behind a cyst obstructing their normal drainage, was postulated to cause increased radioiodine accumulation inside eye chambers in the single case reported of conjunctival epithelial inclusion cyst associated with orbital radioiodine uptake in a patient with thyroid cancer.…”

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confidence: 99%

Orbital Radioiodine Uptake in Epithelial Conjunctival Inclusion Cyst on Scintigraphy in a Patient With Differentiated Thyroid Cancer

Makarewicz,

Skierkowski,

Makarewicz

2023

Clin Nucl Med

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Abnormal focal accumulation of 131 I is generally a reliable indicator of differentiated thyroid cancer metastases. However, many examples of false-positive 131 I uptake were reported but only a few with orbital accumulation of radioiodine. We report the case of a 68-year-old woman with differentiated thyroid cancer who underwent thyroid remnants ablation with radioiodine. A focus of considerable 131 I uptake corresponding to a small, periorbital tumor was detected on posttherapy whole-body 131 I scan and head SPECT/CT. The tumor was surgically removed, and pathology revealed a conjunctival inclusion cyst with no features of thyroid tissue. Orbital 131 I uptake was not detected on follow-up scans.

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Causes of False-Positive Radioactive Iodine Uptake in Patients with Differentiated Thyroid Cancer

Ozomaro

Flavell

et al. 2021

Curr Radiol Rep

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Purpose Radioactive iodine (RAI) whole-body scan is a sensitive imaging modality routinely used in patients with differentiated thyroid cancer to detect persistent and recurrent disease. However, there can be false-positive RAI uptake that can lead to misdiagnosis and misclassification of a patient’s cancer stage. Recognizing the causes of false positivity can avoid unnecessary testing and treatment as well as emotional stress. In this review, we discuss causes and summarize various mechanisms for false-positive uptake. Recent Findings We report a patient with differentiated thyroid cancer who was found to have Mycobacterium avium complex infection as the cause of false-positive RAI uptake in the lungs. Using this case example, we discuss and summarize findings from the literature on etiologies of false-positive RAI uptake. We also supplement additional original images illustrating other examples of false RAI uptake. Summary False-positive RAI uptake may arise from different causes and RAI scans need to be interpreted in the context of the patient’s history and corresponding cross-sectional imaging findings on workup. Understanding the potential pitfalls of the RAI scan and the mechanisms underlying false uptake are vital in the care of patients with differentiated thyroid cancer.

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Physiological Uptake of Radioactive Iodine Around an Artificial Eyeball Observed with Single-Photon Emission Computed Tomography/Computed Tomography After Radioactive Iodine Treatment

Cited by 3 publications

References 5 publications

Single-Photon Emission Computed Tomography Image-Assisted Diagnosis of Thyroid Diseases under Convolutional Network Neural Algorithm

Single-Photon Emission Computed Tomography Image-Assisted Diagnosis of Thyroid Diseases under Convolutional Network Neural Algorithm

Orbital Radioiodine Uptake in Epithelial Conjunctival Inclusion Cyst on Scintigraphy in a Patient With Differentiated Thyroid Cancer

Causes of False-Positive Radioactive Iodine Uptake in Patients with Differentiated Thyroid Cancer

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