Ventilatory impairment detection based on distribution of respiratory-induced changes in pixel values in dynamic chest radiography: a feasibility study

Tanaka, Rie; Sanada, Shigeru; Fujimura, Masaki; Yasui, Masahide; Tsuji, Shiro; Hayashi, Norio; Okamoto, Hiroyuki; Nanbu, Yuko; Matsui, Osamu

doi:10.1007/s11548-010-0491-y

Cited by 8 publications

(4 citation statements)

References 21 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DCR has been proposed as a non-contrast imaging modality to assess ventilation and perfusion (V/Q), potentially addressing the time-consuming and expensive limitations of traditional nuclear medicine V/Q scanning, or the high ionising radiation doses and contrast agent exposure of CT angiography [ 8 ]. Preliminary studies have established that DCR can detect ventilation as a change in pixel density and related signal characteristics over time, and can be applied to detect regional differences in ventilation [ 4 , 8 , 12 , 14 , 42 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic chest radiography: a state-of-the-art review

et al. 2023

View full text Add to dashboard Cite

Dynamic chest radiography (DCR) is a real-time sequential high-resolution digital X-ray imaging system of the thorax in motion over the respiratory cycle, utilising pulsed image exposure and a larger field of view than fluoroscopy coupled with a low radiation dose, where post-acquisition image processing by computer algorithm automatically characterises the motion of thoracic structures. We conducted a systematic review of the literature and found 29 relevant publications describing its use in humans including the assessment of diaphragm and chest wall motion, measurement of pulmonary ventilation and perfusion, and the assessment of airway narrowing. Work is ongoing in several other areas including assessment of diaphragmatic paralysis. We assess the findings, methodology and limitations of DCR, and we discuss the current and future roles of this promising medical imaging technology.Critical relevance statement Dynamic chest radiography provides a wealth of clinical information, but further research is required to identify its clinical niche. Graphical abstract

show abstract

Section: Resultsmentioning

confidence: 99%

“…Few large-scale studies of DCR-derived measures of ventilation have been carried out [ 14 , 17 , 19 , 32 ]. Cranio-caudal gradient of mean pixel contrast change rate (the average maximum rate of pixel contrast change in relation to distance from lung apex) has been studied as a marker of obstructive lung disease.…”

Section: Resultsmentioning

confidence: 99%

Dynamic chest radiography: a state-of-the-art review

et al. 2023

View full text Add to dashboard Cite

show abstract

“…12 Tanaka et al developed DCR as a functional imaging method for diaphragmatic motion, pulmonary ventilation, and circulation. [13][14][15] Currently, DCR systems are being used in clinical institutes to acquire high-quality dynamic and functional images with a low radiation dose. 16,17 DCR has proven to be a simple and efficient procedure.…”

Section: Introductionmentioning

confidence: 99%

A new method for assessing lung tumor motion in radiotherapy using dynamic chest radiography

Kïtamura

Takayama

Yamazaki

et al. 2022

J Applied Clin Med Phys

View full text Add to dashboard Cite

Dynamic chest radiography (DCR) is a recent advanced modality to acquire dynamic and functional images. We developed a new method using DCR and the free analysis software, Kinovea, to assess lung tumor motion. This study aimed to demonstrate the usefulness of our method. Phantom and clinical studies were performed. In the phantom study, dynamic images of a moving lead sphere were acquired using DCR, and the motion of the phantom was tracked using Kinovea in a DCR video. The amplitude of phantom motion was measured and compared with a predetermined baseline amplitude.In a clinical study, DCR and respiratory-gated four-dimensional computed tomography (4D-CT) were performed on 15 patients who underwent stereotactic body radiation therapy for lung tumors. The amplitudes of tumor motion in DCR and 4D-CT were measured in the superior-inferior (SI), left-right (LR), and anterior-posterior (AP) directions, and the square root of the sum of squares (SRSS) of the amplitude was calculated in all directions. Spearman's rank correlation and the Wilcoxon signed-rank test were performed to determine the correlations of the amplitudes of tumor motion obtained using DCR and 4D-CT. In the phantom study, the absolute mean error between the measured and predetermined amplitudes was 0.60 mm (range: 0.061.53 mm). In the clinical study, the amplitudes of tumor motion obtained using DCR correlated significantly with those of 4D-CT in the SI and LR directions, as did the SRSS values. The median amplitudes for DCR were significantly higher than those for 4D-CT in all (SI, LR, and AP) directions, as were the SRSS values. Our proposed method based on DCR and Kinovea is useful for assessing lung tumor motion, visually and quantitatively. Therefore, DCR has potential as a new modality for evaluating lung tumor motion in radiotherapy.

show abstract

“…Prior to automated image analysis, these breath-hold inspiratory images are similar to a chest film and can be used for this purpose. DCR can also be used to calculate lung volume subdivisions ( 12 ), assess diaphragm motion ( 13 , 14 ), measure ventilation ( 15 ) and quantify lung nodule motion ( 16 ). These attributes may afford it a role as a thoracic imaging technique in the workup of individuals with lung cancer.…”

mentioning

confidence: 99%