Sub-solid Nodule Detection Performance on Reduced-dose Computed Tomography with Iterative Reduction

Nagatani, Yukihiro; Takahashi, Masashi; Ikeda, Mitsuru; Yamashiro, Tsuneo; Koyama, Hisanobu; Koyama, Mitsuhiro; Moriya, Hideshige; Noma, Satoshi; Tomiyama, Noriyuki; Ohno, Yoshiharu; Murata, Kiyoshi; Murayama, Sadayuki; Sakuma, Kotaro; Honda, Osamu; Sugimura, Kazuro; Sakamoto, Ryo; Nishimoto, Yuko; Tada, Akio; Kato, Katsuya; Miyara, Tetsuhiro; Kamiya, Hisashi; Kamiya, Ayano; Tanaka, Yūko; Nitta, Norihisa

doi:10.1016/j.acra.2017.01.004

Cited by 14 publications

(4 citation statements)

References 27 publications

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“…More researches need to be carried out to elucidate the effects of reconstruction methods on the nodule diagnosis. One study suggested that the detectability of the subsolid nodules using IR methods are acceptable [20], implying that the use of IR does not impede the detection of nodular lung lesions.…”

Section: Discussionmentioning

confidence: 99%

Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images

Kubo

Kishimoto

Togashi

2019

European Journal of Radiology Open

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To determine the reproducibility and productivity of reduced dose chest computed tomography (CT) using a nodule detection task. Materials and methods: Eighty-eight consecutive non-contrast CT examinations were performed using an automatic exposure system with a reference standard deviation of 8.5. Simulated raw data of a reduced dose scan (standard deviation at 21 and 29) were generated with a dose simulator. Original and simulated raw data were reconstructed to series of 7-mm-thick images (Original, Simulation A, Simulation B). In the first part of the reading experiment, three readers independently interpreted these images (88 cases × 3 series) and recorded the size, type, and location of the pulmonary nodules. The reading time for every case was recorded. In the second part of the experiment, the repeated interpretation of standard dose images was performed by two readers. Concordance or discordance of nodule detection between the first and the repeated reading result was assessed. Results: A statistically significant difference in the detected nodule counts for lesions less than 5 mm by one reader was observed in simulation B images. Discordance of the interpretation result was found only in groundglass nodules larger than 5 mm detected by one reader in simulation B images. There was no statistically significant difference in the reading time among the three image types. Conclusion: Simulated standard deviation 21 images can reproduce the image interpretation result of original images, whereas simulated standard deviation 29 images may compromise the accuracy of nodule assessment. The effect on the reading time was not observed with dose reduction simulation.

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Section: Discussionmentioning

confidence: 99%

Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images

Kubo

Kishimoto

Togashi

2019

European Journal of Radiology Open

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“…These studies found good to excellent sensitivities and specificities for pulmonary nodules, pneumothorax, consolidations, ground-glass opacities, bronchiectasis, emphysema, honeycombing, and asbestos-related lung diseases. 17 , 23 , 24 , 25 , 28 , 30 , 31 , 32 , 33 , 34 , 35 , 36 However, to our knowledge, only very few studies have directly compared ULDCT to CXR as an alternative primary imaging modality.…”

Section: Discussionmentioning

confidence: 99%

Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients – a prospective randomised crossover cohort trial

Wassipaul,

Janata-Schwatczek,

Domanovits

et al. 2023

eClinicalMedicine

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“…Moreover, a comparison of ground-glass nodule (GGN) detection capability showed that the capability of the two protocols for detecting GGNs with a diameter equal to or more than 8 mm was not significantly different [39]. Another study found that further radiation dose reduction without significant degradation of subsolid nodule detection was obtained with the same hybrid-type IR method [40]. As a result of these published findings, AIDR 3D for ADCT is currently used in routine clinical practice.…”

Section: New Reconstruction Methods Used For Radiation Dose Reduction...mentioning

confidence: 97%

“…Like other MDCTs, morphology-based pulmonary functional ADCT has been used for the quantitative assessment of chronic obstructive pulmonary disease (COPD), interstitial lung disease (ILD), or other diseases by using not only standard-but also reduced-dose protocols [27,31,[38][39][40][41][42][43][44][45][46][47].…”

Section: Morphology-based Pulmonary Functional Imagingmentioning

confidence: 99%

Area-Detector Computed Tomography for Pulmonary Functional Imaging

et al. 2023

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An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation.

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Sub-solid Nodule Detection Performance on Reduced-dose Computed Tomography with Iterative Reduction

Cited by 14 publications

References 27 publications

Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images

Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images

Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients – a prospective randomised crossover cohort trial

Area-Detector Computed Tomography for Pulmonary Functional Imaging

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