Clinical Applications of Technetium-99m Quantitative Single-Photon Emission Computed Tomography/Computed Tomography

Lee, Won Woo

doi:10.1007/s13139-019-00588-9

Cited by 36 publications

(20 citation statements)

References 35 publications

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“…Accurate absorbed radiation dose estimation at voxel and organ level is only possible with quantitively accurate SPECT data that is corrected for attenuation, scatter, and collimator-detector response. In addition, the use of quantitative SPECT for diagnostic purposes is increasing [233]. However, the SPECT/CT that allows accurate SPECT quantification is not widely available yet.…”

Section: Deep Learning: Future Directionmentioning

confidence: 99%

A Review of Deep-Learning-Based Approaches for Attenuation Correction in Positron Emission Tomography

Lee

2021

IEEE Trans. Radiat. Plasma Med. Sci.

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Attenuation correction (AC) is essential for the generation of artifact-free and quantitaAtively accurate positron emission tomography (PET) images. PET AC based on computed tomography (CT) frequently results in artifacts in attenuationcorrected PET images, and these artifacts mainly originate from CT artifacts and PET-CT mismatches. The AC in PET combined with a magnetic resonance imaging (MRI) scanner (PET/MRI) is more complex than PET/CT, given that MR images do not provide direct information on high energy photon attenuation. Deep learning (DL)-based methods for the improvement of PET AC have received significant research attention as alternatives to conventional AC methods. Many DL studies were focused on the transformation of MR images into synthetic pseudo-CT or attenuation maps. Alternative approaches that are not dependent on the anatomical images (CT or MRI) can overcome the limitations related to current CT-and MRI-based ACs and allow for more accurate PET quantification in stand-alone PET scanners for the realization of low radiation doses. In this article, a review is presented on the limitations of the PET AC in current dual-modality PET/CT and PET/MRI scanners, in addition to the current status and progress of DL-based approaches, for the realization of improved performance of PET AC.

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Section: Deep Learning: Future Directionmentioning

confidence: 99%

A Review of Deep-Learning-Based Approaches for Attenuation Correction in Positron Emission Tomography

Lee

2021

IEEE Trans. Radiat. Plasma Med. Sci.

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“…First, it is an accurate quantitative tool for evaluating salivary gland function. The statement is based on the recent progress in quantitative SPECT/CT technique 22 , which has been proven in a variety of clinical applications 13 – 21 . Notably, the current SPECT/CT protocol produced normal %ID (0.36 ± 0.02% for the parotid and 0.17 ± 0.01% for the submandibular) and %EF (61.41 ± 1.38% for the parotid and 45.22 ± 2.46% for submandibular) 12 reference ranges, which are comparable to the results obtained from conventional planar imaging 36 , 37 .…”

Section: Discussionmentioning

confidence: 99%

“…Recent technological development has allowed the application of quantitative nuclear imaging parameters, such as %injected dose (%ID) and standardized uptake value (SUV), to SPECT/CT imaging 13 – 21 . Quantitative salivary gland SPECT/CT holds promise as a new imaging modality 12 , 22 since the interpretation of the salivary gland scintigraphy depends on the quantitation of the uptake (i.e., %ID) of Tc-99m pertechnetate by the salivary glands. However, some issues remain to be solved before salivary gland SPECT/CT can be widely applied.…”

Section: Introductionmentioning

confidence: 99%

Quantitative salivary gland SPECT/CT using deep convolutional neural networks

Park

Lee

et al. 2021

Sci Rep

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Quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) using Tc-99m pertechnetate aids in evaluating salivary gland function. However, gland segmentation and quantitation of gland uptake is challenging. We develop a salivary gland SPECT/CT with automated segmentation using a deep convolutional neural network (CNN). The protocol comprises SPECT/CT at 20 min, sialagogue stimulation, and SPECT at 40 min post-injection of Tc-99m pertechnetate (555 MBq). The 40-min SPECT was reconstructed using the 20-min CT after misregistration correction. Manual salivary gland segmentation for %injected dose (%ID) by human experts proved highly reproducible, but took 15 min per scan. An automatic salivary segmentation method was developed using a modified 3D U-Net for end-to-end learning from the human experts (n = 333). The automatic segmentation performed comparably with human experts in voxel-wise comparison (mean Dice similarity coefficient of 0.81 for parotid and 0.79 for submandibular, respectively) and gland %ID correlation (R2 = 0.93 parotid, R2 = 0.95 submandibular) with an operating time less than 1 min. The algorithm generated results that were comparable to the reference data. In conclusion, with the aid of a CNN, we developed a quantitative salivary gland SPECT/CT protocol feasible for clinical applications. The method saves analysis time and manual effort while reducing patients’ radiation exposure.

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“…It was recently revealed that quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) is more accurate than the traditional thyroid uptake system 19 . In addition, the quantitative SPECT/CT scan can discriminate patients with destructive thyroiditis from euthyroid patients and is expected to play a critical role in differentiating thyroid disease in the future 22,23 . Nevertheless, many strengths have been stated with SPECT/CT scan, and traditional planar scintigraphy still plays an important role in the differential diagnosis of thyrotoxicosis patients, including delineations of hot nodules 19 .…”

Section: Discussionmentioning

confidence: 99%

Comparison of Tc-99m Pertechnetate Thyroid Uptake Rates by Gamma Probe and Gamma Camera Methods for Differentiating Graves’ Disease and Thyroiditis

Jin

Ahn

et al. 2021

Preprint

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Although technetium-99m (99mTc) pertechnetate thyroid uptake rate can be measured by gamma camera with scintigraphy as well as by gamma probe, the normal reference range known as quite different between them. This study was performed to compare their diagnostic accuracy for evaluating patients with hyperthyroidism. We retrospectively reviewed consecutive 371 patients (euthyroid 89, Graves 167, and thyroiditis 115) who had simultaneously measured data of thyroid uptake rates by both gamma probe and camera methods in our hospital from November 2019 to June 2020. The reference ranges in euthyroid patients were 2.0-4.7% and 0.3–1.9% for probe and camera methods, respectively. For differentiating Graves’ disease and thyroiditis, the area under the curve of the camera method was significantly greater than that of the probe method (0.988 vs 0.975, p = 0.030) on receiver operating characteristic curve analysis. With a cutoff value of 0.7%, the sensitivity and specificity for the camera method were 93.4% and 94.8%, respectively. With a cutoff value of 3.0%, those for the probe method were 92.2% and 91.3%, respectively. In conclusion, 99mTc pertechnetate thyroid uptake rate measured by the camera method with scintigraphy had higher diagnostic accuracy than the probe method for evaluating patients with hyperthyroidism.

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Clinical Applications of Technetium-99m Quantitative Single-Photon Emission Computed Tomography/Computed Tomography

Cited by 36 publications

References 35 publications

A Review of Deep-Learning-Based Approaches for Attenuation Correction in Positron Emission Tomography

A Review of Deep-Learning-Based Approaches for Attenuation Correction in Positron Emission Tomography

Quantitative salivary gland SPECT/CT using deep convolutional neural networks

Comparison of Tc-99m Pertechnetate Thyroid Uptake Rates by Gamma Probe and Gamma Camera Methods for Differentiating Graves’ Disease and Thyroiditis

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