Optimization of injection dose in 18F-FDG PET/CT based on the 2020 national diagnostic reference levels for nuclear medicine in Japan.

OBJECTIVE: Recently, the national diagnostic reference levels (DRLs) in Japan were revised as the DRLs 2020, wherein the body weight-based injection dose optimization in positron emission tomography/computed tomography using 18F-fluoro-2-deoxy-D-glucose (18F-FDG PET/CT) was first proposed. We retrospectively investigated the usefulness of this optimization method in improving image quality and reducing radiation dose. METHODS: A total of 1,231 patients were enrolled in this study. A fixed injection dose of 240 MBq was administered to 624 patients, and a dose adjusted to 3.7 MBq/kg body weight was given to 607 patients. The patients with body weight-based injection doses were further divided according to body weight: group 1 (≤ 49 kg), group 2 (50-59 kg), group 3 (60-69 kg), and group 4 (≥ 70 kg). The effective radiation dose of FDG PET was calculated using the conversion factor of 0.019 mSv/MBq, per the International Commission on Radiological Protection publication 106. Image quality was assessed using noise equivalent count density (NECdensity), which was calculated by excluding the counts of the brain and bladder. The usefulness of the injection dose optimization in terms of radiation dose and image quality was analyzed. RESULTS: The body weight-based injection dose optimization significantly decreased the effective dose by 11%, from 4.54 ± 0.1 mSv to 4.05 ± 0.8 mSv (p < 0.001). Image quality evaluated by NECdensity was also significantly improved by 10%, from 0.39 ± 0.1 to 0.43 ± 0.2 (p < 0.001). In no case did NECdensity deteriorate when the effective dose was decreased. In group 1, the dose decreased by 32%, while there was no significant deterioration in NECdensity (p = 0.054). In group 2, the dose decreased by 17%, and the NECdensity increased significantly (p < 0.01). In group 3, the dose decreased by 3%, and the NECdensity increased significantly (p < 0.01). In group 4, the dose increased by 14%, but there was no significant change in the NECdensity (p = 0.766). CONCLUSION: Body weight-based FDG injection dose optimization contributed to not only the reduction of effective dose but also the improvement of image quality in patients weighing between 50 and 69 kg.

[Analysis of Workflow and Structuring of the Problem Element for Workflow Database Construction of Radiological Technologists in Radiation Therapy].

The work of radiological technologists is changing and more complicated because of the development of medical technology and implementation of information technology (IT). Although the cases of incident and accident have been reported, they have not been comprehensively analyzed in the workflow for radiotherapy. In this study, we visualized the workflow of radiological technologists in radiotherapy and revealed the causes of incidents and accidents. The work process was visualized by drawing workflow map. The structuring of problem was performed with interpretive structural modeling (ISM) method based on graph theory by analyzing of work categorized by safety management. Our results may be able to clarify the work of radiological technologists leads to the reduction of incidents and accidents in radiation therapy.

Automatic cropping method of chest radiographs based on adaptive binarization.

General radiography systems are widely used for medical diagnoses. Since the size of image detectors of general radiography systems is standardized in several fixed sizes, relative size of target body parts differs according to patients. The spread of digitization of X-ray imaging forces radiological technologists to crop radiographs manually after measurement for suitable use on diagnoses. This cropping operation distracts attention of radiological technologists from measurement operations and from care to patients. The purpose of this study is to establish image processing method to achieve automatic cropping of X-ray images, which reduces the radiological technologists' burden in general radiography workflow. The proposed method utilizes adaptive binarization as pre-processing of radiographs. In this paper, we show the result of the proposed method applied for chest radiographs and the evaluation by radiological technologists.

[Study of appropriate dosing in consideration of image quality and patient dose on the digital radiography].

Recently about 90% of radiographs have been taken by the digital radiographic system in Japan, but the exposure dose of the patients are about ten-times different among the systems. We understood it by a surveytaken in 2007. We studied the visual evaluation with varying exposure doses using the image phantom of the lumber AP, lumber lateral and hip AP. Additionally we measured quantum efficiency (DQE) of the digital systems. We also studied the exposure index (EI) of IEC standard to see whether it is able to be the sensitivity index among the digital systems. DQE in 1.0 cycle/mm of CR, FPD (GOS), FPD (CsI, a-Se) became 0.2-0.25, 0.3, 0.5, respectively. Our results display that the dose reduction is relative to DQE. The visual evaluation results also show that dose reduction is possible among the systems. From these results, we are able to reduce the exposure dose of the patients at the clinical site. We also suggest that we manage the exposure dose using the E.I of the IEC standard.