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Featured researches published by Yukihiro Nagatani.


International Journal of Chronic Obstructive Pulmonary Disease | 2008

Imaging of pulmonary emphysema: A pictorial review

Masashi Takahashi; Junya Fukuoka; Norihisa Nitta; Ryutaro Takazakura; Yukihiro Nagatani; Yoko Murakami; Hideji Otani; Kiyoshi Murata

The term ‘emphysema’ is generally used in a morphological sense, and therefore imaging modalities have an important role in diagnosing this disease. In particular, high resolution computed tomography (HRCT) is a reliable tool for demonstrating the pathology of emphysema, even in subtle changes within secondary pulmonary lobules. Generally, pulmonary emphysema is classified into three types related to the lobular anatomy: centrilobular emphysema, panlobular emphysema, and paraseptal emphysema. In this pictorial review, we discuss the radiological – pathological correlation in each type of pulmonary emphysema. HRCT of early centrilobular emphysema shows an evenly distributed centrilobular tiny areas of low attenuation with ill-defined borders. With enlargement of the dilated airspace, the surrounding lung parenchyma is compressed, which enables observation of a clear border between the emphysematous area and the normal lung. Because the disease progresses from the centrilobular portion, normal lung parenchyma in the perilobular portion tends to be preserved, even in a case of far-advanced pulmonary emphysema. In panlobular emphysema, HRCT shows either panlobular low attenuation or ill-defined diffuse low attenuation of the lung. Paraseptal emphysema is characterized by subpleural well-defined cystic spaces. Recent topics related to imaging of pulmonary emphysema will also be discussed, including morphometry of the airway in cases of chronic obstructive pulmonary disease, combined pulmonary fibrosis and pulmonary emphysema, and bronchogenic carcinoma associated with bullous lung disease.


International Journal of Cardiovascular Imaging | 2004

Visual assessment of coronary artery stenosis with electrocardiographically-gated multislice computed tomography.

Shinro Matsuo; Yasuyuki Nakamura; Tetsuya Matsumoto; Ichiro Nakae; Yukihiro Nagatani; Ryutaro Takazakura; Masashi Takahashi; Kiyoshi Murata; Minoru Horie

Background: With faster image acquisition times and thinner slice widths, multislice detector computed tomography (MSCT) allows visualization of human coronary arteries. Significantly improved image quality, with high resolution and new software for three-dimensional post-processing, has made non-invasive examination of the cavities within human body possible. Objective: The aims of this study are to evaluate the diagnostic accuracy of ECG-gated MSCT for the detection of significant coronary artery stenosis and occlusions. Methods: In 25 patients (19 male and 6 female aged 65 ± 9 years) with suspected obstructive coronary artery disease, ECG-gated MSCT angiography was performed with an 8-slice MSCT scanner. Visual coronary arteries were simulated in three coronary arteries. Conventional coronary angio-graphies were performed in all patients. And coronary lesions in MSCT were estimated by two observers, who did not know the results of the coronary angiography. Results: Current MSCT allows visual coronary artery with good image quality. The overall sensitivity for diagnosing significant coronary stenosis were 75.0%, the specificity was 95.6%. The positive and negative predictive values were 84.9 and 92.2%, respectively. The accuracy of MSCT for detecting coronary stenosis is the highest in the left main tranck and left anterior descending coronary artery, and lowest in the circumflex coronary artery. Conclusion: MSCT was feasible for the detection of coronary artery stenosis.


European Journal of Radiology | 2015

Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis.

Yukihiro Nagatani; Masashi Takahashi; Kiyoshi Murata; Mitsuru Ikeda; Tsuneo Yamashiro; Tetsuhiro Miyara; Hisanobu Koyama; Mitsuhiro Koyama; Yukihisa Sato; Hiroshi Moriya; Satoshi Noma; Noriyuki Tomiyama; Yoshiharu Ohno; Sadayuki Murayama

PURPOSE To compare lung nodule detection performance (LNDP) in computed tomography (CT) with adaptive iterative dose reduction using three dimensional processing (AIDR3D) between ultra-low dose CT (ULDCT) and low dose CT (LDCT). MATERIALS AND METHODS This was part of the Area-detector Computed Tomography for the Investigation of Thoracic Diseases (ACTIve) Study, a multicenter research project being conducted in Japan. Institutional Review Board approved this study and informed consent was obtained. Eighty-three subjects (body mass index, 23.3 ± 3.2) underwent chest CT at 6 institutions using identical scanners and protocols. In a single visit, each subject was scanned using different tube currents: 240, 120 and 20 mA (3.52, 1.74 and 0.29 mSv, respectively). Axial CT images with 2-mm thickness/increment were reconstructed using AIDR3D. Standard of reference (SOR) was determined based on CT images at 240 mA by consensus reading of 2 board-certificated radiologists as to the presence of lung nodules with the longest diameter (LD) of more than 3mm. Another 5 radiologists independently assessed and recorded presence/absence of lung nodules and their locations by continuously-distributed rating in CT images at 20 mA (ULDCT) and 120 mA (LDCT). Receiver-operating characteristic (ROC) analysis was used to evaluate LNDP of both methods in total and also in subgroups classified by LD (>4, 6 and 8 mm) and nodular characteristics (solid and ground glass nodules). RESULTS For SOR, 161 solid and 60 ground glass nodules were identified. No significant difference in LNDP for entire solid nodules was demonstrated between both methods, as area under ROC curve (AUC) was 0.844 ± 0.017 in ULDCT and 0.876 ± 0.026 in LDCT (p=0.057). For ground glass nodules with LD 8mm or more, LNDP was similar between both methods, as AUC 0.899 ± 0.038 in ULDCT and 0.941 ± 0.030 in LDCT. (p=0.144). CONCLUSION ULDCT using AIDR3D with an equivalent radiation dose to chest x-ray could have comparable LNDP to LDCT with AIDR3D except for smaller ground glass nodules in cases with normal range body habitus.


Oncology | 2011

Time-course studies of implanted rabbit VX2 liver tumors to identify the appropriate time for starting hepatic arterial embolization in animal models.

Akinaga Sonoda; Norihisa Nitta; Ayumi Nitta-Seko; Shinichi Ohta; Yukihiro Nagatani; Ken-ichi Mukaisho; Hideji Otani; Keiko Tsuchiya; Masashi Takahashi; Kiyoshi Murata

Purpose: We followed the 4-week course of implanted VX2 tumors in rabbits and compared MRI and pathological findings to determine the appropriate time for starting therapy in animal liver tumor models. Materials and Methods: We used 18 Japanese white rabbits. The VX2 liver tumor was harvested from one tumor-bearing rabbit and implanted in the liver of the other 17 rabbits. They were then sacrificed at 1 (n = 5), 2 (n = 3), 3 (n = 4), and 4 weeks (n = 5) after implantation and MRI study. Using MRI scans and/or pathological specimens of individual rabbits, we evaluated the tumor survival ratio, the major tumor axes, intrahepatic metastases, and peritoneal dissemination. Results: All tumor transplantations were successful. At 1 week, 56.25% of the implanted tumors were visualized on MRI scans. At 2 weeks or later, all transplanted rabbits were confirmed to be tumor-bearing on MRI scans. At 3 weeks after implantation, the tumor size was similar on MRI scans and in pathological specimens. There were no intra-hepatic metastases or peritoneal disseminations within 2 weeks of tumor transplantation. Conclusion: We suggest that in studies of implanted VX2 models addressing the treatment of solid hepatic tumors, it may be prudent to start hepatic arterial embolization at 2 weeks after implantation.


American Journal of Roentgenology | 2014

Images Acquired Using 320-MDCT With Adaptive Iterative Dose Reduction With Wide-Volume Acquisition: Visual Evaluation of Image Quality by 10 Radiologists Using an Abdominal Phantom

Norihisa Nitta; Mitsuru Ikeda; Akinaga Sonoda; Yukihiro Nagatani; Shinichi Ohta; Masashi Takahashi; Kiyoshi Murata

OBJECTIVE The purpose of this study is to assess visual evaluations of CT images and to determine by how much radiation exposure dose could be reduced without compromising the image quality. MATERIALS AND METHODS An abdominal CT phantom was scanned at 14 different tube currents. Raw data were reconstructed with adaptive iterative dose reduction (AIDR) 3D and filtered backprojection (FBP). We divided 64 different image pairs into five groups. Group A consisted of 14 image pairs acquired with AIDR 3D and FBP, groups B and D consisted of 13 pairs with a one-level exposure dose decrease in AIDR 3D and FBP, respectively, and groups C and E consisted of 12 pairs with a two-level exposure dose decrease in AIDR 3D and FBP, respectively. Ten radiologists participated in the reading session. Statistical analyses were calculated with analysis of variance and the paired Student t test. RESULTS Analysis of variance of six criteria revealed that the results were better in groups A, D, and E when AIDR 3D was applied. Better results were obtained with FBP in groups B and C. When we subjected evaluations of the renal parenchyma to the Student t test, we found that the assigned scores were better with AIDR 3D in groups A, D, and E and better with FBP in groups B and C. Similar results were obtained for the other evaluation criteria. CONCLUSION Visual subjective evaluation showed that images of acceptable quality could be obtained at dose reductions of approximately 10% in the high-dose range and about 20% in the moderate-dose range.


Academic Radiology | 2011

The Possibility of differentiation between nonalcoholic steatohepatitis and fatty liver in rabbits on Gd-EOB-DTPA-enhanced open-type MRI scans.

Akinaga Sonoda; Norihisa Nitta; S Ohta; Ayumi Nitta-Seko; Keiko Tsuchiya; Yukihiro Nagatani; Ken-ichi Mukaisho; Masashi Takahashi; Kiyoshi Murata

RATIONALE AND OBJECTIVES We used rabbits to investigate the possibility of differentiating between nonalcoholic steatohepatitis (NASH) and fatty liver (FL) on scans acquired by open-type‒ and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)‒enhanced magnetic resonance imaging (MRI). MATERIALS AND METHODS We divided 15 adult rabbits into three equal groups; they received standard (control group), high-fat (FL) content (FL group), or choline-deficient chow (NASH group). With the animals under general anesthesia we acquired scans on an open 0.3-Tesla MRI system. Signal intensity (SI) was measured before and after contrast administration and defined as SI-pre and SI-post, respectively. Relative SI enhancement (Sr) was calculated using the equation: Sr = (average of three SI-post- minus average of three SI values in no-signal fields)/(average of three SI-pre- minus average of three SI values in no-signal fields) × 100. Maximum Sr (Srmax), the time (in seconds) required to reach Srmax (Tmax), and the difference between Srmax and Sr at 30 minutes (Sr(30m)R) were analyzed. RESULTS Srmax was significantly higher in the NASH rabbits than the other two groups (P < .05). CONCLUSIONS In rabbits, the Srmax value made it possible to differentiate NASH from normal and fatty liver.


British Journal of Radiology | 2010

A combination of cisplatin-eluting gelatin microspheres and flavopiridol enhances anti-tumour effects in a rabbit VX2 liver tumour model.

Norihisa Nitta; Akinaga Sonoda; Ayumi Seko; S Ohta; Yukihiro Nagatani; Keiko Tsuchiya; Hideji Otani; Toyohiko Tanaka; Shuzo Kanasaki; Masashi Takahashi; Kiyoshi Murata

The aim of this study was to investigate whether the combination of cisplatin-eluting gelatin microspheres (GMSs) and flavopiridol enhances anti-tumour effects in a rabbit VX2 liver tumour model. Tumour-bearing rabbits (n = 21) were divided into five groups and infused from the proper hepatic artery. Group 1 (n = 5) received cisplatin-eluting GMSs (1 mg kg(-1)) and flavopiridol (3 mg kg(-1)), group 2 (n = 5) cisplatin-eluting GMSs alone (1 mg kg(-1)), Group 3 (n = 5) flavopiridol (3 mg kg(-1)), Group 4 (n = 3) GMSs alone (1 mg kg(-1)), and Group 5 (n = 3) was the control group receiving physiological saline (1 ml kg(-1)). On days 0 and 7 after procedures the liver tumour volume was measured using a horizontal open MRI system and the relative tumour volume growth rates for 7 days after treatment were calculated. On T(1) weighted images, the tumours were visualised as circular, low-intensity areas just below the liver surface. After treatment, the signals remained similar. The relative tumour volume growth rate for 7 days after treatment was 54.2+/-22.4% in Group 1, 134.1+/-40.1% in Group 2,166.7+/-48.1% in Group 3, 341.8+/-8.6% in Group 4 and 583.1+/-46.9% in Group 5; the growth rate was significantly lower in Group 1 than the other groups (p<0.05). We concluded that in our rabbit model of liver tumours the combination of cisplatin-eluting GMSs and flavopiridol was effective.


International Journal of Chronic Obstructive Pulmonary Disease | 2015

Automated continuous quantitative measurement of proximal airways on dynamic ventilation CT: initial experience using an ex vivo porcine lung phantom

Tsuneo Yamashiro; Maho Tsubakimoto; Yukihiro Nagatani; Hiroshi Moriya; Kotaro Sakuma; Shinsuke Tsukagoshi; Hiroyasu Inokawa; Tatsuya Kimoto; Ryuichi Teramoto; Sadayuki Murayama

Background The purpose of this study was to evaluate the feasibility of continuous quantitative measurement of the proximal airways, using dynamic ventilation computed tomography (CT) and our research software. Methods A porcine lung that was removed during meat processing was ventilated inside a chest phantom by a negative pressure cylinder (eight times per minute). This chest phantom with imitated respiratory movement was scanned by a 320-row area-detector CT scanner for approximately 9 seconds as dynamic ventilatory scanning. Obtained volume data were reconstructed every 0.35 seconds (total 8.4 seconds with 24 frames) as three-dimensional images and stored in our research software. The software automatically traced a designated airway point in all frames and measured the cross-sectional luminal area and wall area percent (WA%). The cross-sectional luminal area and WA% of the trachea and right main bronchus (RMB) were measured for this study. Two radiologists evaluated the traceability of all measurable airway points of the trachea and RMB using a three-point scale. Results It was judged that the software satisfactorily traced airway points throughout the dynamic ventilation CT (mean score, 2.64 at the trachea and 2.84 at the RMB). From the maximum inspiratory frame to the maximum expiratory frame, the cross-sectional luminal area of the trachea decreased 17.7% and that of the RMB 29.0%, whereas the WA% of the trachea increased 6.6% and that of the RMB 11.1%. Conclusion It is feasible to measure airway dimensions automatically at designated points on dynamic ventilation CT using research software. This technique can be applied to various airway and obstructive diseases.


Academic Radiology | 2017

Sub-solid Nodule Detection Performance on Reduced-dose Computed Tomography with Iterative Reduction: Comparison Between 20 mA (7 mAs) and 120 mA (42 mAs) Regarding Nodular Size and Characteristics and Association with Size-specific Dose Estimate

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

RATIONALE AND OBJECTIVES This study aimed to compare sub-solid nodule detection performances (SSNDP) on chest computed tomography (CT) with Adaptive Iterative Dose Reduction using Three Dimensional Processing (AIDR 3D) between 7 mAs (0.21 mSv) and 42 mAs (1.28 mSv) in total and in subgroups classified by nodular size, characteristics, and location, and analyze the association of SSNDP with size-specific dose estimate (SSDE). MATERIALS AND METHODS As part of the Area-detector Computed Tomography for the Investigation of Thoracic Diseases Study, a Japanese multicenter research project, 68 subjects underwent chest CT with 120 kV, 0.35 seconds per rotation, and three tube currents: 240 mA (84 mAs), 120 mA (42 mAs), and 20 mA (7 mAs). The research committee of the study project outlined and approved our study protocols. The institutional review board of each institution approved this study. Axial 2-mm-thick CT images were reconstructed using AIDR 3D. Standard reference was determined by CT images at 84 mAs. Four radiologists recorded SSN presence by continuously distributed rating on CT at 7 mAs and 42 mAs. Receiver operating characteristic analysis was used to evaluate SSNDP at both doses in total and in subgroups classified by nodular longest diameter (LD) (≥5 mm), characteristics (pure and part-solid), and locations (ventral, intermediate, or dorsal; central or peripheral; and upper, middle, or lower). Detection sensitivity was compared among five groups of SSNs classified based on particular SSDE to nodule on CT with AIDR 3D at 7 mAs. RESULTS Twenty-two part-solid and 86 pure SSNs were identified. For larger SSNs (LD ≥ 5 mm) as well as subgroups classified by nodular locations and part-solid nodules, SSNDP was similar in both methods (area under the receiver operating characteristics curve: 0.96 ± 0.02 in CT at 7 mAs and 0.97 ± 0.01 in CT at 42 mAs), with acceptable interobserver agreements in five locations. For larger SSNs (LD ≥ 5 mm), on CT at 42 mAs, no significant differences in detection sensitivity were found among the five groups classified by SSDE, whereas on CT with 7 mAs, four groups with SSDE of 0.65 or higher were superior in detection sensitivity to the other group, with SSDE less than 0.65 mGy. CONCLUSIONS For SSNs with 5 mm or more in cases with normal range of body habitus, CT at 7 mAs was demonstrated to have comparable SSNDP to CT at 42 mAs regardless of nodular location and characteristics, and SSDE higher than 0.65 mGy is desirable to obtain sufficient SSNDP.


European Journal of Radiology | 2016

Quantitative CT analysis of honeycombing area in idiopathic pulmonary fibrosis: Correlations with pulmonary function tests

Hiroaki Nakagawa; Yukihiro Nagatani; Masashi Takahashi; Emiko Ogawa; Nguyen Van Tho; Yasushi Ryujin; Taishi Nagao; Yasutaka Nakano

OBJECTIVES The 2011 official statement of idiopathic pulmonary fibrosis (IPF) mentions that the extent of honeycombing and the worsening of fibrosis on high-resolution computed tomography (HRCT) in IPF are associated with the increased risk of mortality. However, there are few reports about the quantitative computed tomography (CT) analysis of honeycombing area. In this study, we first proposed a computer-aided method for quantitative CT analysis of honeycombing area in patients with IPF. We then evaluated the correlations between honeycombing area measured by the proposed method with that estimated by radiologists or with parameters of PFTs. MATERIALS AND METHODS Chest HRCTs and pulmonary function tests (PFTs) of 36 IPF patients, who were diagnosed using HRCT alone, were retrospectively evaluated. Two thoracic radiologists independently estimated the honeycombing area as Identified Area (IA) and the percentage of honeycombing area to total lung area as Percent Area (PA) on 3 axial CT slices for each patient. We also developed a computer-aided method to measure the honeycombing area on CT images of those patients. The total honeycombing area as CT honeycombing area (HA) and the percentage of honeycombing area to total lung area as CT %honeycombing area (%HA) were derived from the computer-aided method for each patient. RESULTS HA derived from three CT slices was significantly correlated with IA (ρ=0.65 for Radiologist 1 and ρ=0.68 for Radiologist 2). %HA derived from three CT slices was also significantly correlated with PA (ρ=0.68 for Radiologist 1 and ρ=0.70 for Radiologist 2). HA and %HA derived from all CT slices were significantly correlated with FVC (%pred.), DLCO (%pred.), and the composite physiologic index (CPI) (HA: ρ=-0.43, ρ=-0.56, ρ=0.63 and %HA: ρ=-0.60, ρ=-0.49, ρ=0.69, respectively). CONCLUSIONS The honeycombing area measured by the proposed computer-aided method was correlated with that estimated by expert radiologists and with parameters of PFTs. This quantitative CT analysis of honeycombing area may be useful and reliable in patients with IPF.

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Kiyoshi Murata

Shiga University of Medical Science

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Masashi Takahashi

Shiga University of Medical Science

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Norihisa Nitta

Shiga University of Medical Science

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Hideji Otani

Shiga University of Medical Science

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Akinaga Sonoda

Shiga University of Medical Science

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Noritoshi Ushio

Shiga University of Medical Science

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Yoko Murakami

Shiga University of Medical Science

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Shinichi Ohta

Shiga University of Medical Science

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Ryutaro Takazakura

Shiga University of Medical Science

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