映像情報メディカル　50/8　2018年増刊号　Multislice CT 2018 BOOK

出版社： 産業開発機構
発行日： 2018-07-24
分野： 臨床医学：一般  >  雑誌
ISBN： 9784860283001
ISSN： 13461354
雑誌名：
特集： Multislice CT 2018 BOOK
電子書籍版： 2018-07-24
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目次

  • 特集　Multislice CT 2018 BOOK

    ◆序説
    ◎ 「Multislice CT 2018 BOOK」企画にあたって
    　 人工知能時代を迎える若い方々へのメッセージ

    ◆CT研究へのいざない
    ◎ CT研究へのモチベーション
    ◎ 『研究』と『臨床』
    ◎ ラジオロジカルテクノロジストの条件

    ◆特別座談会【CT～その現状と未来】

    ◆最新トレンド―AI
    ◎画像診断領域における深層学習の最先端技術とAI支援画像診断

    ◆Dual Energy CT
    ◎CTにおける機械学習・RadiomicsとTexture解析について
    ◎構造的心疾患診療に求められる心臓CT画像
    ◎臨床病院におけるDual Energy CTの活用
    ◎頭頸部・胸部領域でのDual Energy CTの活用
    ◎Dual Energy CTの初期臨床経験～胸部領域を中心に～
    ◎救命救急センターでのDual Energy CTの活用
    　　－2層検出器スペクトラルCTによる外傷症例の使用経験－
    ◎オートプシー・イメージング（Ai）用Dual Energy CT使用の初期経験
    ◎Dual Energy CTにおける造影剤使用方法の変化

    ◆超高精細CT／低線量
    【超高精細CT】
    ◎超高精細CTによる肝胆膵領域の描出
    ◎冠動脈CTの現状と超高精細CTの可能性
    ◎超高精細CT序論：臨床使用での経験を踏まえて
    【低線量】
    ◎超低線量CTについて
    ◎低線量肺がんCT検診―施設認定制度の開始

    ◆Workstation－治療（手術）支援画像を極める
    　 Dual Energy CTと造影剤注入装置

    【Workstation－治療（手術）支援画像を極める】
    ◎Oncology領域における「Vitrea」のアプリケーションとAI技術の応用／
    　　キヤノンメディカルシステムズ株式会社
    ◎Dual Energy画像を用いた診断・治療支援について／GEヘルスケア・ジャパン株式会社
    ◎ハードとソフトの融合によるシーメンスCT技術の活用／シーメンスヘルスケア株式会社
    ◎IntelliSpace Portal Ver.10によるスペクトラル解析を用いたMulti Modality Tumor Tracking／
    　株式会社フィリップス・ジャパン
    ◎Ziostation2の最新アプリケーション／ザイオソフト株式会社
    ◎手術支援における画像処理、解析結果配信機能の紹介／富士フイルムメディカル株式会社
    【Dual Energy CTと造影剤注入装置】
    ◎LDIによって得られるTECの再現性
    　　―変わりゆく検査手法において造影効果を適切に得るために―

    ◆CT、この1年の歩み
    ◎AiCE　Deep Learning Reconstruction―臨床に次世代再構成を―／
    キヤノンメディカルシステムズ株式会社 ほか
    ◎GECT この1年間の進歩／／GEヘルスケア・ジャパン株式会社
    ◎常にパイオニアであり続けるSOMATOM CT／シーメンスヘルスケア株式会社
    ◎64ch/128slice CTシステム『SCENARIA View』の紹介
    －SCENARIAからの進歩－／株式会社日立製作所
    ◎IQonスペクトラルCTの紹介／株式会社フィリップス・ジャパン

この書籍の参考文献

参考文献のリンクは、リンク先の都合等により正しく表示されない場合がありますので、あらかじめご了承下さい。

本参考文献は電子書籍掲載内容を元にしております。

【最新トレンド - AI】

P.49 掲載の参考文献
1) Suzuki K : Survey of Deep Learning Applications to Medical Image Analysis, Medical Imaging Technology 35 (4), 2017
 
2) Suzuki K : Overview of deep learning in medical imaging, Radiol Phys Technol, 10 (3) : 257-273, 2017
PubMed
3) LeCun Y et al : Deep learning. Nature 521 (7553) : 436-444, 2015
PubMed
4) Suzuki K et al : Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in lowdose computed tomography, Med. Phys 30 (7) : 1602-1617, 2003
PubMed
5) Suzuki K : A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD), Phys. Med. Biol 54 (18) : S31-45, 2009
 
6) Tajbakhsh N, Suzuki K : Comparing Two Classes of End-to-End Learning Machines for Lung Nodule Detection and Classification : MTANNs vs. CNNs. Pattern Recognit 63 : 476-486, 2017
 
7) Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K : Computer-aided detection of peripheral lung cancers missed at CT : ROC analyses without and with localization. Radiology 237 (2) : 684-690, 2005
PubMed
8) Suzuki K, Doi K : How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT?, Acad. Radiol 12 (10) : 1333-1341, 2005
PubMed
9) Lostumbo A, Suzuki K, Dachman AH : Flat lesions in CT colonography, Abdom. Imaging 35 (5) : 578-583, 2010
PubMed
10) Ferraro F et al : A spinning tangent based CAD system for detection of flat lesions in CT colonography, Proc. IEEE International Symposium on Biomedical Imaging (IEEE ISBI), Chicago, IL, IEEE, 156-159, 2011
 
11) Shelhamer E et al : Fully Convolutional Networks for Semantic Segmentation, IEEE Trans Pattern Anal Mach Intell, 39 (4) : 640-651, 2017
PubMed
12) Suzuki K et al : Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector, IEEE Trans. Med. Imaging 23 (3) : 330-339, 2004
PubMed
13) Suzuki K et al : Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network, Proc. SPIE Medical Imaging (SPIE MI), San Diego, CA, 1109-1119, 2004
 
14) Suzuki K et al : Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN), IEEE Trans. Med. Imaging 25 (4) : 406-416, 2006
PubMed
15) Chen S et al : Enhancement of chest radiographs obtained in the intensive care unit through bone suppression and consistent processing, Phys. Med Biol 61 (6) : 2283-2301, 2016
PubMed
16) Chen S et al : Separation of bones from chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing, IEEE Trans. Med. Imaging 33 (2) : 246-257, 2014
 
17) Chen S et al : Computerized detection of lung nodules by means of "virtual dual-energy" radiography, IEEE Trans. Biomed. Eng 60 (2) : 369-378, 2013
PubMed
18) Ronneberger O et al : U-net : Convolutional networks for biomedical image segmentation, International Conference on Medical image computing and computer-assisted intervention (MICCAI) 234-241, 2015
 
19) Suzuki K et al : Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images, International Workshop on Machine Learning in Medical Imaging (MLMI) 334-343 : 2017
 
20) Chen H et al : Low-dose CT with a residual encoderdecoder convolutional neural network. IEEE transactions on medical imaging 36 (12) : 2524-2535, 2017
PubMed
21) Suzuki K : Supervised machine learning technique for reduction of radiation dose in computed tomography imaging. United States Patent, 2012
 
22) Suzuki K et al : Image modification and detection using massive training artificial neural networks (MTANN), United States Patent, 2003
 

【Dual Energy CT】

P.57 掲載の参考文献
1) Gillies RJ et al : Radiomics : Images Are More than Pictures, They Are Data. Radiology 278 (2) : 563-577, 2016
PubMed
2) Lee G et al : Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management : State of the art. European journal of radiology 86 : 297-307, 2017
PubMed
3) Ho LM et al : Lipid-poor adenomas on unenhanced CT : does histogram analysis increase sensitivity compared with a mean attenuation threshold? AJR Am J Roentgenol 191 (1) : 234-238, 2008
PubMed
4) Murakami R et al : Malignant supratentorial astrocytoma treated with postoperative radiation therapy : prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology 243 (2) : 493-499, 2007
PubMed
5) Haralick RM et al : Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics SMC-3 (6) : 610-621, 1973
 
P.63 掲載の参考文献
1) Mori S et al : Clinical structural anatomy of the inferior pyramidal space reconstructed from the living heart : Three-dimensional visualization using multidetector-row computed tomography. Clin Anat 28 : 878-887, 2015
PubMed
2) Mori S et al : Revisiting the Anatomy of the Living Heart. Circ J 80 : 24-33, 2016
PubMed
3) Mori S et al : Clinical cardiac structural anatomy reconstructed within the cardiac contour using multidetector-row computed tomography : Atrial septum and ventricular septum. Clin Anat 29 : 342-352, 2016
PubMed
4) Jensen B et al : Development of the atrial septum in relation to postnatal anatomy and interatrial communications. Heart 103 : 456-462, 2017
PubMed
5) Mori S et al : Clinical Structural Anatomy of the Inferior Pyramidal Space Reconstructed Within the Cardiac Contour Using Multidetector-Row Computed Tomography. J Cardiovasc Electrophysiol 26 : 705-712, 2015
PubMed
6) 循環器診療に活かす 心臓血管解剖学, 国立循環器病研究センター病理部, メジカルビュー社, 東京都, 2-16, 2016
 
P.69 掲載の参考文献
1) Zachary EC et al : Abdominal rapid-kVp-switching dual-energy MDCT with reduced IV contrast compared to conventional MDCT with standard weight-based IV contrast : an intra-patient comparison. Abdominal Imaging 40 (4) : 852-858, 2015
 
2) Y Nagayama et al : Dual-layer DECT for multiphasic hepatic CT with 50 percent iodine load : a matchedpair comparison with a 120 kVp protocol. Eur Radiol 28 (4) : 1719-1730, 2018
PubMed
3) Paul IM et al : Dual-energy CT for the musculoskeletal system. Radiology 281 (3) : 690-707, 2016
 
4) Chien-Kuo Wang et al : Bone marrow edema in verbral compression fractures : Detection with dualenergy CT. Radiology 269 (2) : 525-533, 2013
 
5) 平松京一 : 胆嚢動脈及び胆管系の動脈. 腹部血管のX線解剖図譜 (平松京一), 医学書院, 東京, 1982 (,85)
 
6) Paul S et al : In vivo identification of uric acid stones with dual-energy CT : diagnostic performance evaluation in patients. Abdominal Imaging 35 : 629-635, 2010
 
P.75 掲載の参考文献
1) Forghani R et al : Low-energy virtual monochromatic dual-energy computed tomography images for the evaluation of head and neck squamous cell carcinoma : A study of tumor visibility compared with single-energy computed tomography and user acceptance. J Comput Assist Tomogr 41 (4) : 565-571, 2017
PubMed
2) Kuno H et al : Evaluation of cartilage invasion by laryngeal and hypopharyngeal squamous cell carcinoma with dual-energy CT. Radiology 265 (2) : 488-496, 2012
PubMed
3) Lam S et al : Optimal virtual monochromatic images for evaluation of normal tissues and head and neck cancer using dual-energy CT. AJNR Am J Neuroradiol 36 (8) : 1518-1524, 2015
PubMed
4) Doerner J et al : Image quality evaluation of dual-layer spectral detector CT of the chest and comparison with conventional CT imaging.Eur J Radiol93 : 52-58, 2017
PubMed
5) Grose Hokamp N et al : Reduction of artifacts caused by orthopedic hardware in the spine in spectral detector CT examinations using virtual monoenergetic image reconstructions and metal-artifact-reduction algorithms. Skeletal Radiol 47 (2) : 195-201, 2018
 
6) Tawfik A M et al : Comparison of dual-energy CT-derived iodine content and iodine overlay of normal, inflammatory and metastatic squamous cell carcinoma cervical lymph nodes. Eur Radiol 24 (3) : 574-580, 2014
PubMed
7) Liu X et al : Papillary thyroid cancer : dual-energy spectral CT quantitative parameters for preoperative diagnosis of metastasis to the cervical lymph nodes. Radiology 275 (1) : 167-176, 2015
 
8) Zhang Y et al : Can spectral CT imaging improve the differentiation between malignant and benign solitary pulmonary nodules? PLoS One 11 (2) : e0147537, 2016
PubMed
9) Lin J Z et al : Application of gemstone spectral computed tomography imaging in the characterization of solitary pulmonary nodules : Preliminary result. J Comput Assist Tomogr 40 (6) : 907-911, 2016
PubMed
10) Shimamoto H et al : Evaluation of locoregional invasiveness of small-sized non-small cell lung cancers by enhanced dual-energy computed tomography. Cancer Imaging 16 (1) : 18, 2016
PubMed
11) Li G J et al : Correlation between vascular endothelial growth factor and quantitative dual-energy spectral CT in non-small-cell lung cancer. Clin Radiol 71 (4) : 363-368, 2016
PubMed
12) Yanagawa M et al : Dual-energy dynamic CT of lung adenocarcinoma : correlation of iodine uptake with tumor gene expression. Eur J Radiol 85 (8) : 1407-1413, 2016
PubMed
13) Aoki M et al : Prognostic impact of average iodine density assessed by dual-energy spectral imaging for predicting lung tumor recurrence after stereotactic body radiotherapy. J Radiat Res 57 (4) : 381-386, 2016
PubMed
14) Baxa J et al : Dual-phase dual-energy CT in patients treated with erlotinib for advanced non-small cell lung cancer : Possible benefits of iodine quantification in response assessment. EurRadiol 26 (8) : 2828-2836, 2016
PubMed
15) Baxa J et al : Dual-phase dual-energy CT in patients with lung cancer : assessment of the additional value of iodine quantification in lymph node therapy response. EurRadiol 24 (8) : 1981-1988, 2014
PubMed
16) Li X et al : Iodine quantification to characterize primary lesions, metastatic and non-metastatic lymph nodes in lung cancers by dual energy computed tomography : An initial experience. Eur J Radiol 85 (6) : 1219-1223, 2016
PubMed
17) Dournes G et al : Dual-energy CT perfusion and angiography in chronic thromboembolic pulmonary hypertension : diagnostic accuracy and concordance with radionuclide scintigraphy. Eur Radiol 24 (1) : 42-51, 2014
PubMed
18) Shuman WP et al : Prospective comparison of dual-energy CT aortography using 70 % reduced iodine dose versus single-energy CT aortography using standard iodine dose in the same patient. Abdom Radiol 42 (3) : 759-765, 2017
PubMed
P.80 掲載の参考文献
1) 町田治彦 : Dual energy CT の現状. INNERVISION 33 : 2-5, 2018
Medical*Online
2) 内匠浩二ほか : Dual layer Dual Energy CTの臨床経験. Multislice CT 2017 BOOK (映像情報メディカル増刊号), 49 (8) : 80-84, 2017
 
3) 上野恵子ほか : スペクトラルCT 基本原理と臨床応用. 学研メディカル秀潤社, 2013
 
4) 山田祥岳ほか : Dual energy imagingの技術と撮影法. INNERVISION 33 : 6-9, 2018
Medical*Online
P.84 掲載の参考文献
1) 栗井和夫ほか : 診断能の高い造影CT画像を得るために. 日独医報 56 (1) : 13-32, 2011
 
2) 兵頭明子ほか : Dual Energy CTの臨床. 日独医報 57 (2) : 8-82, 2012
 
3) 日本外傷学会外傷初期診療ガイドライン編集委員会 : 外傷初期診療ガイドライン JATEC 改訂第4版. 日本外傷学会・日本救急医学会 (監), 東京, へるす出版, 2012.
 
4) 日本IVR学会ガイドライン委員会 : 骨盤骨折に対するIVR施行医のためのガイドライン 2017
 
5) 渡邉嘉之 : Brain Hemorrege. INNERVION 308, 2011
 
P.89 掲載の参考文献
1) 日本法医学会企画調査委員会 : 死後画像診断に関する調査 (2016年3月実施), 日本法医学会課題調査報告. 2, 2016 http://www.jslm.jp/problem/gazoushindan.pdf
 
2) 内田雄己 : シーメンスが考えるAi専用CTとその普及に向けて. INNERVISION 33 (1) : 65, 2017
 
3) 檜垣徹 : Dual Energy CTの基礎と原理. 映像情報メディカル増刊号. 49 (8) : 48-53, 2017
 
4) Filograna L et al : Value of monoenergetic dual CT (DECT) for artefact reduction from metallic orthopedic implants in post-mortem studied. Skeletal Radiol. 44 (9) : 1287-94, 2015
 
5) Iizuka K et al : Feasibility of resuscitation contrast-enhanced postmortem computed tomography using cardiopulmonary resuscitation technique with chest compression immediately after death. Springerplus 10 (2) : 663, 2013
 
6) 飯野守男ほか : 多相死後血管造影CT (MPMCTA) の実際. 映像情報メディカル 49 (7) : 2-11, 2017
 
7) 斉藤彰俊 : オートプシー・イメージングにおけるdual energy CTの使い方. INNERVISION 33 (3) : 67-70, 2018
Medical*Online
8) O'Donnell C et al : Contribution of postmortem multidetector CT scanning to identification of the deceased in a mass disaster : Experience gained from the 2009 Victorian bushfires. Forensic Sci Int 205 (1-3) : 15-28, 2011
 
9) 大澤阿紋ほか : Dual energy CTを用いた燃焼前後における物質のCT値および実行原子番号の検討. 第15回オートプシー・イメージング学会学術総会抄録集 42, 2017
 
10) 野口京ほか : Dual energy CTイメージングによる頭部CT診断の可能性. INNERVISION 33 (3) : 13-15, 2018
Medical*Online
11) Naruto N et al : Dual energy computed tomography for the head. Jpn J Radiol 36 (2) : 69-80, 2018
PubMed
12) Takahashi N et al : Quantitative analysis of brain edema and swelling on early postmortem computed tomography : comparison with antemortem computed tomography. Jpn J Radiol 28 (5) : 349-54, 2010
PubMed

【超高精細CT / 低線量】

P.107 掲載の参考文献
1) Miller JM et al : Diagnostic Performance of Coronary Angiography by 64-Row CT. N Engl J Med 359 (22) : 2324-2336, 2008
PubMed
2) Meijboom WB et al : Diagnostic Accuracy of 64-Slice Computed Tomography Coronary Angiography. J Am Coll Cardiol 52 (25) : 2135-2144, 2008
PubMed
3) BudoffMJ et al : Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals Without Known Coronary Artery DiseaseResults From the Prospective Multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) Trial. J Am Coll Cardiol 52 (21) : 1724-1732, 2008
 
4) Yamashina A et al : Guidelines for Noninvasive Diagnosis of Coronary Artery Lesions Circ J 73 : 1019-1089, 2009
 
5) Fihn SD et al : ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease : A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. Circulation 126 (25) : e354-e471, 2012
 
6) Douglas PS et al : Outcomes of Anatomical versus Functional Testing for Coronary Artery Disease. N Engl J Med 372 (14) : 1291-1300, 2015
PubMed
7) Takagi H et al : Diagnostic performance of coronary CT angiography with ultra-high-resolution CT : Comparison with invasive coronary angiography. Eur J Radiol 101 : 30-37, 2018
PubMed
8) Raff GL et al : Diagnostic Accuracy of Noninvasive Coronary Angiography Using 64-Slice Spiral Computed Tomography. J Am Coll Cardiol 46 (3) : 552-557, 2005
PubMed
9) Dewey M et al : Noninvasive Coronary Angiography by 320-Row Computed Tomography With Lower Radiation Exposure and Maintained Diagnostic Accuracy : Comparison of Results With Cardiac Catheterization in a Head-to-Head Pilot Investigation. Circulation. 120 (10) : 867-875, 2009
 
10) Douglas PS et al : Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease : the prospective longitudinal trial of FFRCT : outcome and resource impacts study. Eur Heart J 36 (47) : 3359-3367, 2015
PubMed
11) Puchner SB et al : High-Risk Plaque Detected on Coronary CT Angiography Predicts Acute Coronary Syndromes Independent of Significant Stenosis in Acute Chest Pain. J Am Coll Cardiol. 64 (7) : 684-692, 2014
PubMed
12) Cury RC et al : CAD-RADSTM Coronary Artery Disease-Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr 10 (4) : 269-281, 2016
 
13) Maroules CD et al : Coronary artery disease reporting and data system (CAD-RADS(TM)) : Interobserver agreement for assessment categories and modifiers. J Cardiovasc Comput Tomogr 12 (2) : 125-130, 2018
PubMed
P.111 掲載の参考文献
1) Hata A et al : Effect of matrix size on the image quality of ultra-high-resolution CT of the lung : Comparison of 512×512, 1024×1024, and 2048×2048. Acad Radiol 2018 [online first]
 
2) Yoshioka K et al : Ultra-high-resolution CT angiography of the artery of Adamkiewicz : a feasibility study. Neuroradiology 60 : 109-115, 2018
 
3) Takagi H et al : Diagnostic performance of coronary CT angiography with ultra-high-resolution CT : Comparison with invasive coronary angiography. Eur J Radiol 101 : 30-37, 2018
PubMed
P.116 掲載の参考文献
1) Mulkens TH et al : Comparison of low-dose with standard-dose multidetector CT in cervical spine trauma. Radiology 237 : 213-223, 2005
 
2) Messerli M et al : Emphysema quantification and lung volumetry in chest X-ray equivalent ultralow dose CT-Intra-individual comparison with standard dose CT. Eur J Radiol 91 : 1-9, 2017
PubMed
3) Martini K et al : Ultralow-dose CT with tin filtration for detection of solid and sub solid pulmonary nodules : a phantom study. Br J Radiol 88 (1056) : 20150389, 2015
PubMed
P.122 掲載の参考文献
1) Kaneko M et al : Peripheral lung cancer : screening and detection with low-dose spiral CT versus radiography. Radiology 201 : 798-802, 1996
PubMed
2) Sone S et al : Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet 351 : 1242-1245, 1998
PubMed
3) The National Lung Screening Trial Research Team : Reduced lung-cancer mortality with low-dose computed tomographic screening, N Engl J Med ; 365 (5) : 395-409, 2011
 
4) 小林健ほか : 低線量CT肺がん検診における被曝線量と許容画質の検討. J Thorac CT Screen 21 : 30-35, 2014
 
5) 日本CT検診学会 : 低線量CTによる肺がん検診のハイ結節の判定基準と経過観察の考え方. 第5版, 2017
 
6) 瀧澤弘隆ほか : 日本人間ドック学会会員施設における胸部CT検診に関する実態調査報告. 人間ドック 24 (3) : 7-14, 2009
 
7) DRLs 2015の報告書「最新の国内実態調査結果に基づく診断参考レベルの設定」 : 医療被ばく研究情報ネットワーク 平成27年6月7日制定 http://www.radher.jp/J-RIME/report/DRLhoukokusyo.pdf
 

【Workstation - 治療 ( 手術 ) 支援画像を極める / Dual Energy CTと造影剤注入装置】

P.127 掲載の参考文献
1) Martin Lundsgaard Hansen et al : Diagnostics 3 : 261-270, 2013
PubMed
2) Y Ohno et al : European Journal of Radiology 100 : 49-57, 2018
 
P.132 掲載の参考文献
1) Monochromatic Imaging Based on Dual-Energy CT. AJR 199, 2012
 
2) Dual-Energy CT : Oncologic Applications. AJR 199 (5 Suppl) : S98-105, 2012
 
3) Mendonca PR et al : A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images. IEEE TRANSACTIONS ON MEDICAL IMAGING 33 (1) : 99-116, 2014
PubMed
4) Hyodo T et al : Multimaterial Decomposition algorithm for the Quantification of liver Fat content by Using Fast-Kilovolt-Peak Switching Dual-energy CT : Experimental Validation 1. radiology 282 (2) : 381-389, 2017
PubMed
P.137 掲載の参考文献
1) Powers WJ et al : 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke : A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 49 (3) : e46-e110, 2018
PubMed
2) Nogueira RG et al : Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct. N Engl J Med 378 (1) : 11-21, 2018
PubMed
3) Albers GW et al : Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging. N Engl J Med 378 (8) : 708-718, 2018
PubMed
4) Eid M et al : Cinematic Rendering in CT : A Novel, Lifelike 3 D Visualization Technique. AJR Am J Roentgenol 209 (2) : 370-379, 2017
 
5) Dappa E et al : Cinematic rendering-an alternative to volume rendering for 3D computed tomography imaging. Insights Imaging 7 (6) : 849-856, 2016
PubMed
6) Rowe SP et al : Initial experience with cinematic rendering for chest cardiovascular imaging. Br J Radiol 91 (1082) : 20170558, 2018
PubMed
7) Chu LC et al : Cinematic rendering of pancreatic neoplasms : preliminary observations and opportunities. Abdom Radiol (NY), 2018
PubMed
P.147 掲載の参考文献
1) Rosenberg IH : Sarcopenia ; Origins andclinical relevance. J Nutr 127 (5 suppl) : 990S-991S, 1997
 
2) Janssen I et al : The healthcare costs of sarcopenia in the United States. J Am Geriatr Soc 52 (1) : 80-85, 2004
PubMed
3) Hirayama K : The measurement of thepsoas major muscle volume by 3 dimensional-CT for assessment of nutritional state. 日本静脈経腸栄養学会雑誌 32 (1) : 871-877, 2017
 
4) 長谷部直幸 : 慢性腎臓病と大動脈疾患 : 日内会誌 105 : 834-841, 2016
 
5) 日本循環器学会 (編), 循環器の診断と治療に関するガイドライン : 大動脈瘤・大動脈解離診療ガイドライン (2011年改訂版)
 
6) 日本腎臓学会 (編), CKD診療ガイド 2012. 日本腎臓学会, 2012
Medical*Online
7) Sato M : Virtual-assisted lung mapping : outcome of 100 consecutive cases in a single institute. Eur J Cardiothorac Surg 47 (4) : e131-139, 2015
 
8) 佐藤雅昭 : 小型肺癌の術中局在同定法-術前マーキング法とvirtual-assisted lung mapping-肺癌. 54 (6) : 835-842, 2014
Medical*Online
9) 日本医学物理学会ほか : 呼吸性移動対策を伴う放射線治療に関するガイドライン, 2012
 
10) 一ノ瀬嘉明ほか : CT情報を透視下手技に活用するための仮想透視画像-見えない道・場所を見える化して挑む. INNERVISION 32 (12) : 66-67, 2017
Medical*Online
P.153 掲載の参考文献
1) MAKUUCHI Masatoshi et al : Surgery for small liver cancers. In : Seminars in surgical oncology 9 (4) : 298-304, 1993
 
2) TAKAMOTO Takeshi et al : Planning of anatomical liver segmentectomy and subsegmentectomy with 3-dimensional simulation software. The American Journal of Surgery 206 (4) : 530-538, 2013
PubMed
3) OGAWA Chikara et al : Virtual sonography for novice sonographers : usefulness of SYNAPSE VINCENTR with pre-check imaging of tumor location. Oncology 87 (Suppl 1) : 50-54, 2014
 
4) ISOTANI Shuji et al : Feasibility and accuracy of computational robot‐assisted partial nephrectomy planning by virtual partial nephrectomy analysis. International Journal of Urology 22 (5) : 439-446, 2-15
 
5) Sekine Y et al : OA 04.05 Intermediate Results of ICG Anatomical Segmentectomy Based on the Virtual Segmentectomy Simulation. Journal of Thoracic Oncology 12 (11) : S1752, 2017
 
6) 東京女子医科大学 八千代医療センター 呼吸器外科 : http://www.twmu.ac.jp/TYMC/medical_guide/surgery/surgery01.html
 
P.157 掲載の参考文献
1) Yamashita Y et al : Abdominal helical CT ; evaluation of optimal doses of intravenous contrast material a prospective randomized study. Radiology 216 (3) : 718-723, 2000
PubMed
2) BAE KT : Intravenous contrast medium administration and scan timing at CT : considerations and approaches. Radiology 256 (1) : 32-61, 2010
PubMed
3) Awai K et al : Effect of contrast material injection duration and rate on aortic peak time and peak enhancement at dynamic CT involving injection protocol with dose tailored to patient weight. Radiology 230 (1) : 142-150, 2004
PubMed
4) Yuan R et al : Reduced iodine load at CT pulmonary angiography with dual-energy monochromatic imaging : comparison with standard CT pulmonary angiography--a prospective randomized trial. Radiology 262 (1) : 290-297, 2012
PubMed
5) Van Hamersvelt RW et al : Contrast agent concentration optimization in CTA using low tube voltage and dualenergy CT in multiple vendors : a phantom study. Int J Cardiovasc Imaging, 2018
PubMed
6) Kanematsu M et al : Low-Iodine-Load and Low-Tube-Voltage CT Angiographic Imaging of the Kidney by Using Bolus Tracking with Saline Flushing. Radiology 275 (3) : 832-840, 2015
PubMed
7) BAE KT : Intravenous contrast medium administration and scan timing at CT : considerations and approaches. Radiology 256 (1) : 32-61, 2010
PubMed

【特別掲載】

P.163 掲載の参考文献
1) 信藤康孝 : 高精細CT『Aquilion Precision(TM)』～高精細画像による新たな臨床価値への期待～, Multislice CT 2017 BOOK (映像情報メディカル増刊号) 49 (8) : 190-193, 2017
 
2) 近藤玄 : Area Detector CT『Aquilion ONE/ViSION FIRST Edition』～逐次近似再構成技術を臨床現場へ～, Multislice CT 2015 BOOK (映像情報メディカル増刊号) 47 (11) : 165-168, 2015.
 
P.167 掲載の参考文献
1) Tanami Y et al : Improvement of instent lumen measurement accuracy with new high-definition CT in a phantom model : comparison with conventional 64-detector row CT. Int J Cardiovasc Imaging 28 (2) : 337-342, 2012
 
2) Material Separation Using Dual-Energy CT : Current and Emerging Applications. Radiographics July, 2016
 
P.172 掲載の参考文献
1) Saltybaeva N et al : Precise and Automatic Patient Positioning in Computed Tomography : Avatar Modeling of the Patient Surface Using a 3-Dimensional Camera. Invest Radiol. 2018 May ; 14 [Epub ahead of print]
 
2) Gordic S et al : Ultralow-dose chest computed tomography for pulmonary nodule detection : first performance evaluation of single energy scanning with Spectrum Shaping. Invest Radiol. 2014 Jul ; 49 (7) : 465-473
 
3) Mettler FA Jr et al : Effective doses in radiology and diagnostic nuclear medicine : a catalog. Radiology. 2008 Jul ; 248 (1) : 254-63
 
4) Lung Cancer Screening CT Protocols Version 4.0. AAPM. 2/23/16
 
5) Tao Y et al : "Robust learning-based parsing and annotation of medical radio-graphs." IEEE Trans Med Imaging 30 : 338-50, 2011
 
6) Yan Z et al : "Bodypart recognition using multi-stage deep learning." In Process Med Imaging 24 : 449-61, 2015
PubMed
7) Zhou XS et al : "Mining anatomical, physiological and pathological information from medical images." ACM SIGKDD Explorations Newsletter 14 : 25-34, 2012
 
P.177 掲載の参考文献
1) 中澤哲夫 : SCENARIA・Supria/Supria Grandeのこの1年間の進歩 映像情報Medical 増刊号 Multislice CT 2017 Book 49 (8) : 194-197, 2017
 
P.182 掲載の参考文献
1) Nakaura T et al : Abdominal Dynamic CT in Patients with Renal Dysfunction:Contrast Agent Dose Reduction with Low Tube Voltage and High Tube current-Time product Setting Settings at 256-Detectir Row CT. Radiology 261 (2) : 167-176, 2011
 
2) Nagayama Y et al : Dual-layer DECT for multiphasic hepatic CT with 50 percent iodine load : a matched-pair comparison with a 120 kVp protocol. Eur Radiology 28 (4) : 1719-1730, 2018
PubMed
3) Matsumoto K et al : Virtual Monochromatic Spectral Imaging with Fast Kilovoltage Switching : Improved Image Quality as Compared with That Obtained with Conventional 120-kVp CT. Radiology 259 (1) : 257-262, 2011
PubMed
4) Brown KM et al : Impact of spectral separation in dual-energy CT with anti-correlated statistical reconstruction. The 13 th Int. Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. 491-495, 2015
 
5) Hua CH et al : Accuracy of electron density, effective atomic number, and iodine concentration determination with a dual-layer dual-energy computed tomography system. Med Phys, 2018 https://doi.org/10.1002/mp.12903
 

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