現在の所属組織 【 表示 ／ 非表示 】

現在の所属組織 【 表示 ／ 非表示 】

取得学位 【 表示 ／ 非表示 】

取得学位 【 表示 ／ 非表示 】

論文 【 表示 ／ 非表示 】

論文 【 表示 ／ 非表示 】

• Selective Transarterial Embolization for Refractory Bleeding in Advanced Scalp Angiosarcoma: Two Cases

  Sakumoto, M; Toyosato, S; Kayo, A; Azama, K; Oshiro, Y; Miyake, R; Komiyama, S; Kaneshima, A; Uehara, H; Miyagi, T; Yamaguchi, S; Yanagi, T

  JOURNAL OF DERMATOLOGY ( Journal of Dermatology )    2026年08月 [ 査読有り ]

  掲載種別: 研究論文（学術雑誌）

  　概要を見る

  Cutaneous angiosarcoma of the scalp is a highly aggressive vascular malignancy that predominantly affects elderly individuals and may cause severe tumor bleeding during disease progression. Hemorrhage from ulcerated tumors is often difficult to control, particularly in patients previously treated with chemoradiotherapy. We report two cases of advanced scalp angiosarcoma in which refractory tumor bleeding was successfully controlled by selective transarterial embolization. The first patient, a 75-year-old man with recurrent angiosarcoma of the frontal scalp region after multiple systemic therapies and radiotherapy, developed repeated arterial bleeding from ulcerated lesions requiring transfusion support. Angiography identified tumor-feeding branches of the superficial temporal artery and angular artery, and embolization achieved immediate hemostasis. A second embolization procedure was required for recurrent bleeding. The second patient, a 75-year-old woman, also developed persistent bleeding from a progressive scalp tumor despite chemoradiotherapy. Selective arterial embolization resulted in rapid and sustained bleeding control without major complications. These cases suggest that selective transarterial embolization may provide rapid control of refractory arterial tumor bleeding and reduce local treatment burden in selected patients with advanced scalp angiosarcoma.

  • この論文にアクセスする

    DOI
  • 関連情報を調べる
    PubMed

• 傍臍静脈アプローチによる塞栓術にて救命し得た胃静脈瘤破裂の１例

  杉村 朋子, 城間 恵介, 安座間 喜明, 伊藤 純二, 西江 昭弘, 梅村 武寛

  日本臨床救急医学会雑誌 ( 一般社団法人 日本臨床救急医学会 )  29 ( 2 ) 153 - 158   2026年04月 [ 査読有り ]

  掲載種別: 研究論文（学術雑誌）

  　概要を見る

  <p>胃静脈瘤破裂は致死的な疾患であり，迅速な止血介入が救命に直結する。内視鏡止血が第一選択とされるが，視野確保困難や呼吸循環不全を伴う場合には施行が困難なことがある。今回，内視鏡止血が困難であった胃静脈瘤破裂に対し，傍臍静脈アプローチによる静脈瘤塞栓術を行い良好な経過を得た症例を報告する。症例は77歳，女性。肝硬変に伴う胃静脈瘤破裂で出血性ショックと低酸素血症を呈した。内視鏡止血を試みたが，持続する吐血による視野不良と全身状態の悪化により施行困難であった。腹水貯留のため肝内門脈穿刺による経皮経肝的静脈瘤塞栓術も適応困難と判断した。そこで，拡張した傍臍静脈を穿刺し，後胃静脈由来の静脈瘤をn-ブチルシアノアクリレートで塞栓した。術後は再出血なく経過し，自宅退院した。内視鏡止血や経肝的アプローチが困難な症例に対し，傍臍静脈経由の静脈瘤塞栓術は，救命を目的とした有効かつ安全な治療選択肢となり得る。</p>

  • この論文にアクセスする

    DOI
  • 関連情報を調べる
    CiNii Research

• Artificial intelligence-based lung nodule detection for pulmonary arteriovenous fistulas on chest computed tomography

  Azama Kimei, Tsuchiya Nanae, Toyosato Shun, Yonemoto Koji, Nishie Akihiro

  World Journal of Radiology ( Baishideng Publishing Group Inc. )  18 ( 4 ) 1 - 9   2026年04月 [ 査読有り ]

  掲載種別: 研究論文（学術雑誌）

  　概要を見る

  BACKGROUND Pulmonary arteriovenous fistulas (PAVFs) are abnormal vascular communications between pulmonary arteries and veins that may cause hypoxemia and paradoxical embolism. Because many patients are asymptomatic, PAVFs are often detected incidentally on chest computed tomography (CT). Accurate identification of PAVFs is clinically important for appropriate management; however, small or atypical lesions may be overlooked during routine interpretation. Computer-aided detection (CAD) systems for pulmonary nodules are widely used in clinical practice, but their ability to detect PAVFs has not been systematically evaluated. We hypothesized that a lung nodule-based artificial intelligence (AI)- CAD system could detect PAVFs on chest CT. AIM To evaluate the detectability of PAVFs on chest CT using an AI-based CAD system for lung nodules. METHODS This retrospective observational study included 21 patients with 26 PAVFs identified at University of the Ryukyus Hospital between 2009 and 2021. Chest CT images, including non-contrast and contrast-enhanced scans, were analyzed using a commercially available AI-based lung nodule CAD system. Detection performance was classified as consistent, conditional, or failed detection, and lesion characteristics associated with successful detection were analyzed. Correlations between CAD-derived measurements and manual measurements were assessed using Pearson’s correlation coefficient RESULTS Among the 26 PAVFs, 15 lesions (58%) were consistently detected, 2 lesions (8%) were detected under certain imaging conditions, and 9 lesions (35%) were not detected, yielding an overall detection success rate of 65% (17/26). Detection rates did not differ significantly according to contrast phase (58% for non-contrast, 71% for pulmonary arterial phase, and 47% for parenchymal phase) or window setting (61% for lung window vs 58% for mediastinal window). Detection success was higher for complex-type lesions than for simple-type lesions (100% vs 59%, P = 0.26). CAD-derived maximum lesion length correlated strongly with manual measurements (r = 0.90, P < 0.001), as did CAD-derived lesion volume (r = 0.92, P < 0.001). CONCLUSION A lung nodule-based AI-CAD system detected a substantial proportion of PAVFs on chest CT and provided reliable quantitative measurements, supporting its potential adjunctive role in PAVF detection and follow-up.

  • 関連情報を調べる
    CiNii Research

• Artificial intelligence-based lung nodule detection for pulmonary arteriovenous fistulas on chest computed tomography.

  Azama K, Tsuchiya N, Toyosato S, Yonemoto K, Nishie A

  World journal of radiology   18 ( 4 ) 119851 - 119851   2026年04月 [ 査読有り ]

  掲載種別: 研究論文（学術雑誌）

  　概要を見る

  BACKGROUND: Pulmonary arteriovenous fistulas (PAVFs) are abnormal vascular communications between pulmonary arteries and veins that may cause hypoxemia and paradoxical embolism. Because many patients are asymptomatic, PAVFs are often detected incidentally on chest computed tomography (CT). Accurate identification of PAVFs is clinically important for appropriate management; however, small or atypical lesions may be overlooked during routine interpretation. Computer-aided detection (CAD) systems for pulmonary nodules are widely used in clinical practice, but their ability to detect PAVFs has not been systematically evaluated. We hypothesized that a lung nodule-based artificial intelligence (AI)-CAD system could detect PAVFs on chest CT. AIM: To evaluate the detectability of PAVFs on chest CT using an AI-based CAD system for lung nodules. METHODS: This retrospective observational study included 21 patients with 26 PAVFs identified at University of the Ryukyus Hospital between 2009 and 2021. Chest CT images, including non-contrast and contrast-enhanced scans, were analyzed using a commercially available AI-based lung nodule CAD system. Detection performance was classified as consistent, conditional, or failed detection, and lesion characteristics associated with successful detection were analyzed. Correlations between CAD-derived measurements and manual measurements were assessed using Pearson's correlation coefficient. RESULTS: Among the 26 PAVFs, 15 lesions (58%) were consistently detected, 2 lesions (8%) were detected under certain imaging conditions, and 9 lesions (35%) were not detected, yielding an overall detection success rate of 65% (17/26). Detection rates did not differ significantly according to contrast phase (58% for non-contrast, 71% for pulmonary arterial phase, and 47% for parenchymal phase) or window setting (61% for lung window vs 58% for mediastinal window). Detection success was higher for complex-type lesions than for simple-type lesions (100% vs 59%, P = 0.26). CAD-derived maximum lesion length correlated strongly with manual measurements (r = 0.90, P < 0.001), as did CAD-derived lesion volume (r = 0.92, P < 0.001). CONCLUSION: A lung nodule-based AI-CAD system detected a substantial proportion of PAVFs on chest CT and provided reliable quantitative measurements, supporting its potential adjunctive role in PAVF detection and follow-up.

  • この論文にアクセスする

    DOI
  • 関連情報を調べる
    PubMed

• Non-thrombotic pulmonary emboli: imaging findings and differential diagnoses

  Tsuchiya, N; Chinen, Y; Yumoto, K; Uechi, M; Ito, J; Azama, K; Makino, W; Koga, T; Nishie, A

  JAPANESE JOURNAL OF RADIOLOGY ( Japanese Journal of Radiology )  43 ( 11 ) 1746 - 1760   2025年11月 [ 査読有り ]

  掲載種別: 研究論文（学術雑誌）

  　概要を見る

  OBJECTIVE: Nonthrombotic pulmonary embolism (NTPE) encompasses a diverse group of rare but clinically significant conditions that involve fat, tumor, air, amniotic fluid, septic, parasitic, and iatrogenic emboli. This review summarizes the pathophysiology, imaging findings, and differential diagnoses of NTPE toward the goal of facilitating its accurate radiologic diagnosis. CONTENT: In NTPE, the use of computed tomography pulmonary angiography (CTPA) may reveal filling defects in the pulmonary arteries; however, the embolus is often not directly visualized, especially in cases of microscopic emboli. NTPE-related pulmonary lesions arise from two mechanisms: mechanical obstruction and chemical injury. Clarifying the link between these mechanisms and imaging features is crucial for achieving the accurate diagnosis of NTPEs. Tools such as dual-energy CT and ventilation-perfusion scintigraphy contribute to the detection of microvascular involvement. We present the characteristic imaging patterns and diagnostic pitfalls for each NTPE subtype, illustrated with representative cases. CONCLUSION: The awareness of NTPE entities and their imaging features is essential for the timely diagnosis and management of these emboli. Radiologists should consider the possible presence of an NTPE in patients with unexplained respiratory symptoms, especially when conventional imaging fails to demonstrate thrombotic emboli.

  • この論文にアクセスする

    DOI
  • 関連情報を調べる
    PubMed

全件表示 >>