Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)  

We investigated the feasibility of a new deep-learning (DL)-based lung analysis method for the evaluation of interstitial lung disease (ILD) by comparing it with evaluation using the traditional computer-aided diagnosis (CAD) system and patients' clinical outcomes. We prospectively included 104 patients (84 with and 20 without ILD). An expert radiologist defined regions of interest in the typical areas of normal, ground-glass opacity, consolidation, consolidation with fibrosis (traction bronchiectasis), honeycombing, reticulation, traction bronchiectasis, and emphysema, and compared them with the CAD and DL-based analysis results. Next, we measured the extent of ILD lesions with the CAD and DL-based analysis and compared them. Finally, we compared the lesion extent on computed tomography (CT) images, as measured with the DL-based analysis, with pulmonary function tests results and patients' overall survival. Pearson's correlation analysis revealed a significant correlation between DL-based analysis and CAD results. Forced vital capacity was significantly correlated with DL-based analysis (r = 0.789, p < 0.001 for normal lung volume and r = -0.316, p = 0.001 for consolidation with fibrosis volume). Consolidation with fibrosis measured using DL-based analysis was independently associated with poor survival. The lesion extent measured using DL-based analysis showed a negative correlation with the pulmonary function test results and prognosis.

DOI： 10.3390/diagnostics12123038

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Pelvic fractures are common in cases of blunt trauma, which is strongly associated with mortality. Transcatheter arterial embolization is a fundamental treatment strategy for fatal arterial injuries caused by blunt pelvic trauma. However, vascular injuries due to blunt pelvic trauma can show various imaging findings other than arterial hemorrhage. We present a pictorial review of common and uncommon vascular injuries, including active arterial bleeding, pseudoaneurysm, arteriovenous fistula, arterial occlusion, vasospasm, and active venous bleeding. Knowledge of these vascular injuries can help clinicians select the appropriate therapeutic strategy and thus save lives.

DOI： 10.1007/s11604-022-01355-1

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

<title>Abstract</title>Resuscitative endovascular balloon occlusion of the aorta (REBOA) is performed in patients with hemorrhagic shock who develop massive subdiaphragmatic bleeding. This procedure enables rapid and less invasive aortic blockade compared to resuscitative thoracotomy and aortic cross-clamp procedures. However, the REBOA procedure is often blindly performed in the emergency department without fluoroscopy, and the appropriateness of the procedure may be evaluated on computed tomography (CT) after REBOA. Therefore, radiologists should be familiar with the imaging features of REBOA. We present a pictorial review of the radiological findings of REBOA along with a description of the procedure, its complications, and pitfalls.

DOI： 10.1007/s11604-021-01166-w

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Other Link： https://link.springer.com/article/10.1007/s11604-021-01166-w/fulltext.html

Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER  

Purpose To assess the relationships among pulmonary vascular enlargement, computed tomography (CT) findings quantified with software, and coronavirus disease (COVID-19) severity. Materials and methods Ultra-high-resolution (UHR) CT images of 87 patients (50 males, 37 females; median age, 63 years) with COVID-19 confirmed using real-time polymerase chain reaction were analyzed. The maximum subsegmental vascular diameter was measured on CT. Total CT lung volume (CTLV total) and lesion extent (ratio of lesion volume to CTLV total) of ground-glass opacities, reticulation, and consolidation were measured using software. Maximum pulmonary vascular diameter and lesion extent were analyzed using Spearman's correlation analysis. Logistic regression analysis was performed on CT results to predict disease severity. We also assessed changes in these measures on follow-up scans in 16 patients. Results All 23 patients with severe and critical illness had vascular enlargement (> 4 mm). Pulmonary vascular enlargement (odds ratio 3.05, p = 0.018) and CT lesion extent (odds ratio 1.07, p = 0.002) were independent predictors of disease severity after adjustment for age and comorbidities. On follow-up CT, vascular diameter and CT lesion volume decreased (p = 0.001, p = 0.002; respectively), but CTLV total did not change significantly. Conclusion Subsegmental vascular enlargement is a notable finding to predict acute COVID-19 disease severity.

DOI： 10.1007/s11604-020-01085-2

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publisher：(一社)日本インターベンショナルラジオロジー学会  

症例は50歳代女性。交通事故により全身多発外傷を受傷し、骨盤骨折に伴う大量出血に対して経カテーテル的動脈塞栓術(TAE)を行う方針となった。造影CTでは、不安定型骨盤骨折が認められ、骨盤骨折の骨片が右内腸骨動脈側へ転位していた。右内腸骨動脈造影では、外側仙骨動脈と子宮動脈が描出されていたが、それより遠位で内腸骨動脈は完全に閉塞していた。術中所見は、塞栓物質としてNBCAを用いて塞栓し、左内腸骨動脈造影で認められた広範な動脈における血管径の不整や狭小化に対し、左内腸骨動脈本幹からゼラチンスポンジ細片を用いて塞栓した。術後、骨盤骨折に対して創外固定術を施行し、術翌日には観血的整復固定術を施行した。固定後は経過良好で、再出血や合併症は認めず、受傷12日後にリハビリ目的に他院転院となった。

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Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.radcr.2025.01.035

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Language：Japanese   Publisher：横浜市立大学医学会  

[背景]肺癌の胸膜浸潤の評価は手術計画のために重要である.画像での術前胸膜浸潤の診断基準は確立されていない.肺癌術前の壁側胸膜浸潤の評価に,呼吸をさせながら撮像する4DCTが有用であることが報告されている.[目的]Vitrea Workstation胸膜癒着解析ソフト(癒着ソフト)が,肺癌の胸膜浸潤/癒着を自動で正しく評価できるか検討した.[材料と方法]対象は術前に4DCTを撮影し,当院で手術を行い,CTで胸膜と接していた肺癌の連続症例16名である.4DCTの画像を2名の放射線科医が肉眼で評価した結果,および癒着ソフトの結果を,後ろ向きに手術所見や病理所見と比較検討した.[結果]放射線科医による4DCTの腫瘍の胸膜浸潤評価では,放射線科医Aでは16名中11名(感度66.7%,特異度70.0%)で,放射線科医Bでは16名中13名(感度83.3%,特異度80.0%)で病理所見と一致していた.癒着ソフトでは,16名中9名で自動解析でき,そのうち8名で腫瘍の胸膜浸潤評価は病理所見と一致し(感度75.0%,特異度100%),これら8名では放射線科医の判定とも一致していた.自動解析が可能であった9名と解析できなかった7名との比較で,解析できなかった7名は腫瘍がやや大きく,腫瘍と胸膜の接する部分の長さが大きい傾向はあったが有意差はなかった.[結語]4DCTの癒着ソフトによる解析で,肺癌の胸膜浸潤の評価が可能であった.胸膜癒着解析ソフトは,現時点では解析できない症例もあり,さらに改良が必要である.(著者抄録)

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported as a global emergency. As respiratory dysfunction is a major clinical presentation of COVID-19, chest computed tomography (CT) plays a central role in the diagnosis and management of patients with COVID-19. Recent advances in imaging approaches using artificial intelligence have been essential as a quantification and diagnostic tool to differentiate COVID-19 from other respiratory infectious diseases. Furthermore, cardiovascular involvement in patients with COVID-19 is not negligible and may result in rapid worsening of the disease and sudden death. Cardiac magnetic resonance imaging can accurately depict myocardial involvement in SARS-CoV-2 infection. This review summarizes the role of the radiology department in the management and the diagnosis of COVID-19, with a special emphasis on ultra-high-resolution CT findings, cardiovascular complications and the potential of artificial intelligence.

DOI： 10.1016/j.diii.2021.05.006

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：SAGE PUBLICATIONS INC  

Purpose: To evaluate the effects of deep learning reconstruction (DLR) in qualitative and quantitative image quality of noncontrast magnetic resonance coronary angiography (MRCA). Methods: Ten healthy volunteers underwent conventional MRCA (C-MRCA) and high-resolution (HR) MRCA on a 3T magnetic resonance imaging with a voxel size of 1.8 x 1.1 x 1.7 mm(3) and 1.8 x 0.6 x 1.0 mm(3), respectively, for C-MRCA and HR-MRCA. High-resolution magnetic resonance coronary angiography was also reconstructed with the DLR technique (DLR-HR-MRCA). We compared the contrast-to-noise ratio (CNR) and visual evaluation scores for vessel sharpness and traceability of proximal and distal coronary vessels on a 4-point scale among 3 image series. Results: The vascular CNR value on the C-MRCA and the DLR-HR-MRCA was significantly higher than that on the HR-MRCA in the proximal and distal coronary arteries (13.9 +/- 6.4, 11.3 +/- 4.4, and 7.8 +/- 2.6 for C-MRCA, DLR-HR-MRCA, and HR-MRCA, P <.05, respectively). Mean visual evaluation scores for the vessel sharpness and traceability of proximal and distal coronary vessels were significantly higher on the HR-DLR-MRCA than the C-MRCA (P <.05, respectively). Conclusion: Deep learning reconstruction significantly improved the CNR of coronary arteries on HR-MRCA, resulting in both higher visual image quality and better vessel traceability compared with C-MRCA.

DOI： 10.1177/0846537119900469

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Language：Japanese  

DOI： 10.15015/00002119

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Language：Japanese  

DOI： 10.15015/00002117

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Language：English   Publisher：ELSEVIER SCIENCE INC  

DOI： 10.1016/j.jvir.2018.05.025

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Language：Japanese   Publisher：(公社)神奈川県医師会  

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Language：Japanese   Publisher：(公社)神奈川県医師会  

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Language：Japanese   Publisher：(公社)日本医学放射線学会  

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Language：Japanese   Publisher：(公社)日本医学放射線学会  

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Language：Japanese   Publisher：(公社)日本医学放射線学会  

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Language：Japanese   Publisher：(公社)日本医学放射線学会  

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J-GLOBAL

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Language：Japanese   Publisher：(一社)日本インターベンショナルラジオロジー学会  

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Language：English   Publisher：(公社)日本医学放射線学会  

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publisher：(一社)日本インターベンショナルラジオロジー学会  

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Language：Japanese   Publisher：(一社)日本インターベンショナルラジオロジー学会  

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Language：Japanese   Publisher：神奈川県医師会  

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J-GLOBAL

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Language：Japanese   Publisher：神奈川県医師会  

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Language：Japanese   Publisher：(公社)日本医学放射線学会  

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Type：Peer review 

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Type：Peer review 

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Type：Peer review 

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