Investigation of the relation between administered dose and image quality for pediatric 99mTc-DMSA renal scintigraphy: clinical study applying the JSNM (Japanese Society of Nuclear Medicine) pediatric dosage card

Fujiwara, Takahiro; Hidaka, Kuniyuki; Sugibayashi, Keiichi; Matsumoto, Makoto; Kida, Tetsuo; Shiina, Katsuya

doi:10.1007/s12149-018-1320-6

Cited by 5 publications

(8 citation statements)

References 7 publications

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“…In this work, we evaluated the performance of predicted full-acquisition-time images from short-time images with Image quality degradation was inevitable in short-time images compared with full-time images, which theoretically have the best image quality. According to Fujiwara et al, 6 a 99m Tc-DMSA renal scan using the dose recommended by the JSNM consensus guidelines can be performed with a 3-min acquisition time in patients weighing 20 kg or more.In contrast,for patients weighing less than 20 kg, a longer image acquisition time should be considered since increased noise exceeds the lower limit of diagnosable images with a 3-min acquisition at the dose recommended by the JSNM consensus guidelines. 6 The average body weight of our population was 14.3 ± 8.2 kg,thus an acquisition time of 2 min in the input data may not have been sufficient to obtain diagnosable images.…”

Section: Discussionmentioning

confidence: 99%

“…According to Fujiwara et al, 6 a 99m Tc-DMSA renal scan using the dose recommended by the JSNM consensus guidelines can be performed with a 3-min acquisition time in patients weighing 20 kg or more.In contrast,for patients weighing less than 20 kg, a longer image acquisition time should be considered since increased noise exceeds the lower limit of diagnosable images with a 3-min acquisition at the dose recommended by the JSNM consensus guidelines. 6 The average body weight of our population was 14.3 ± 8.2 kg,thus an acquisition time of 2 min in the input data may not have been sufficient to obtain diagnosable images. Therefore, our deep learning-based methods may be useful to improve the image quality of fast 99m Tc-DMSA planar imaging.…”

Section: Discussionmentioning

confidence: 99%

“…Image quality degradation was inevitable in short‐time images compared with full‐time images, which theoretically have the best image quality. According to Fujiwara et al., 6 a 99m Tc‐DMSA renal scan using the dose recommended by the JSNM consensus guidelines can be performed with a 3‐min acquisition time in patients weighing 20 kg or more. In contrast, for patients weighing less than 20 kg, a longer image acquisition time should be considered since increased noise exceeds the lower limit of diagnosable images with a 3‐min acquisition at the dose recommended by the JSNM consensus guidelines 6 .…”

Section: Discussionmentioning

confidence: 99%

“…In general, a smoothing filter can effectively reduce image noise; however, there is concomitant degradation in spatial resolution and a reduction in edge sharpness. In addition, in patients weighing less than 20 kg, a longer acquisition time is desirable to prevent image quality degradation in 99m Tc‐DMSA planar imaging 6 . If the image quality improvement of short‐acquisition‐time images can be achieved, prolonged acquisition time would be unnecessary in such cases.…”

Section: Introductionmentioning

confidence: 99%

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Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning

Ichikawa

Sugimori

Ichijiri

et al. 2023

J Applied Clin Med Phys

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Purpose Given the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric 99mTc‐dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to evaluate the performance of predicted full‐acquisition‐time images from short‐acquisition‐time pediatric 99mTc‐DMSA planar images with only 1/5th acquisition time using deep learning in terms of image quality and quantitative renal uptake measurement accuracy. Methods One hundred and fifty‐five cases that underwent pediatric 99mTc‐DMSA planar imaging as dynamic data for 10 min were retrospectively collected for the development of three deep learning models (DnCNN, Win5RB, and ResUnet), and the generation of full‐time images from short‐time images. We used the normalized mean squared error (NMSE), peak signal‐to‐noise ratio (PSNR), and structural similarity index metrics (SSIM) to evaluate the accuracy of the predicted full‐time images. In addition, the renal uptake of 99mTc‐DMSA was calculated, and the difference in renal uptake from the reference full‐time images was assessed using scatter plots with Pearson correlation and Bland–Altman plots. Results The predicted full‐time images from the deep learning models showed a significant improvement in image quality compared to the short‐time images with respect to the reference full‐time images. In particular, the predicted full‐time images obtained by ResUnet showed the lowest NMSE (0.4 [0.4−0.5] %) and the highest PSNR (55.4 [54.7−56.1] dB) and SSIM (0.997 [0.995−0.997]). For renal uptake, an extremely high correlation was achieved in all short‐time and three predicted full‐time images (R2 > 0.999 for all). The Bland–Altman plots showed the lowest bias (−0.10) of renal uptake in ResUnet, while short‐time images showed the lowest variance (95% confidence interval: −0.14, 0.45) of renal uptake. Conclusions Our proposed method is capable of producing images that are comparable to the original full‐acquisition‐time images, allowing for a reduction of acquisition time/injected dose in pediatric 99mTc‐DMSA planar imaging.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning

Ichikawa

Sugimori

Ichijiri

et al. 2023

J Applied Clin Med Phys

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show abstract

“…There are some large variations in the subjective analysis of image quality due to differences in physician preferences on what constitutes an image of diagnosable quality. Some of the approaches used to evaluate image quality need further evaluation, as demonstrated by the Japanese Society of Nuclear Medicine Technology (26).…”

Section: Discussionmentioning

confidence: 99%

National Diagnostic Reference Levels for Nuclear Medicine in Kuwait

Alnaaimi

Alduaij

Algaily

et al. 2021

J. Nucl. Med. Technol.

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The diagnostic reference level (DRL) is a patient-exposure optimization tool used to evaluate and provide guidance for radiation doses in medical imaging. In the past few decades, there has been a global increase in the number of diagnostic imaging procedures, including nuclear medicine procedures, and consequently in patient radiation exposure. This increase has encouraged international and national health-care organizations to take action and keep up with such changes to meet the expectation of increasing use of ionizing radiation in medicine. Methods: DRLs in Kuwait were established by investigating the administered activity of radiopharmaceuticals and CT radiation doses in hybrid imaging systems. The DRLs were determined on the basis of the 75th percentile of radiopharmaceutical administered activity distribution as recommended by the International Commission on Radiological Protection. Results: The DRLs determined in Kuwait agree well with other published DRLs in Europe, Japan, Korea, Australia, and the United States. Conclusion: This study presents the establishment process and the results of the first national DRLs for nuclear medicine procedures in Kuwait as a way to optimize radiation exposure.

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Usefulness of preset count acquisition in pediatric 99m Tc-DMSA planar imaging

et al. 2023

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Investigation of the relation between administered dose and image quality for pediatric 99mTc-DMSA renal scintigraphy: clinical study applying the JSNM (Japanese Society of Nuclear Medicine) pediatric dosage card

Cited by 5 publications

References 7 publications

Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning

Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning

National Diagnostic Reference Levels for Nuclear Medicine in Kuwait

Usefulness of preset count acquisition in pediatric 99m Tc-DMSA planar imaging

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Investigation of the relation between administered dose and image quality for pediatric 99mTc-DMSA renal scintigraphy: clinical study applying the JSNM (Japanese Society of Nuclear Medicine) pediatric dosage card

Cited by 5 publications

References 7 publications

Acquisition time reduction in pediatric 99mTc‐DMSA planar imaging using deep learning

Acquisition time reduction in pediatric 99mTc‐DMSA planar imaging using deep learning

National Diagnostic Reference Levels for Nuclear Medicine in Kuwait

Usefulness of preset count acquisition in pediatric 99m Tc-DMSA planar imaging

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Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning

Acquisition time reduction in pediatric ^99mTc‐DMSA planar imaging using deep learning