Sheet1 Page 1 ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ TRƯỜNG THCS THỌ VỰC Họ tên: Lª Minh Tó Líp: 7A §iÓm Ngày… tháng……năm 2016 BÀI KIỂM TRA M«n: Thêi gian:…… NhËn xÐt cña thÇy (c«) gi¸o §Ò bµi:………………….………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… …………………………………………………………………………………………………………… ……………………………………………………………………………………………………………… Các trang Web về hóa học của Nguyễn Mạnh Hùng Đây là nguồn tư liệu để các bạn tham khảo http://violet.vn/hung53/ http://violet.vn/tulieuhoahoc http://violet.vn/hunga1102/ http://violet.vn/nguyenthihongvan1989 http://violet.vn/tulieuhoahoc http://violet.vn/hoahoc_luyenthi_nguyenmanhhung/ Đưa cơm cho mẹ đi cày Sáng tác: Hàn Ngọc Bích Mặt trời soi rực rỡ Gió lùa tóc em bay Giỏ cơm trên tay Em đi đưa cơm cho mẹ em đi cày Mẹ ơi , mẹ nghỉ tay Trời trưa vừa tròn bóng Mẹ ăn cơm cho nóng Mà để trâu cho con chăn Mai đây lúa thơm xóm , thơm làng Lúa thơm lừng cả bàn tay Là thơm nắng hôm nay Khi em đưa cơm cho mẹ em đi cày . This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Measurement of metabolic tumour volume: static versus dynamic FDG scans EJNMMI Research 2011, 1:35 doi:10.1186/2191-219X-1-35 Patsuree Cheebsumon (p.cheebsumon@vumc.nl) Floris H P van Velden (F.vVelden@vumc.nl) Maqsood Yaqub (Maqsood.Yaqub@vumc.nl) Corneline J Hoekstra (C.Hoekstra@jbz.nl) Linda M Velasquez (linda.velasquez@bms.com) Wendy Hayes (wendy.hayes1@bms.com) Otto S Hoekstra (os.hoekstra@vumc.nl) Adriaan A Lammertsma (aa.lammertsma@vumc.nl) Ronald Boellaard (r.boellaard@vumc.nl) ISSN 2191-219X Article type Original research Submission date 7 November 2011 Acceptance date 14 December 2011 Publication date 14 December 2011 Article URL http://www.ejnmmires.com/content/1/1/35 This peer-reviewed article was published immediately upon acceptance. It can be downloaded, printed and distributed freely for any purposes (see copyright notice below). For information about publishing your research in EJNMMI Research go to http://www.ejnmmires.com/authors/instructions/ For information about other SpringerOpen publications go to http://www.springeropen.com EJNMMI Research © 2011 Cheebsumon et al. ; licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1 Measurement of metabolic tumor volume: static versus dynamic FDG scans Patsuree Cheebsumon 1 , Floris HP van Velden 1 , Maqsood Yaqub 1 , Corneline J Hoekstra 2 , Linda M Velasquez 3 , Wendy Hayes 3 , Otto S Hoekstra 1 , Adriaan A Lammertsma 1 , and Ronald Boellaard* 1 1 Department of Nuclear Medicine & PET Research, VU University Medical Center, P.O. Box 7057, Amsterdam, 1007 MB, The Netherlands 2 Department of Nuclear Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, 5223 GZ, The Netherlands 3 Bristol-Myers Squibb, Princeton, NJ, 08543, USA *Corresponding author: r.boellaard@vumc.nl Email addresses: PC: p.cheebsumon@vumc.nl FHPvV: F.vVelden@vumc.nl MY: Maqsood.Yaqub@vumc.nl CJH: C.Hoekstra@jbz.nl LMV: linda.velasquez@bms.com WH: wendy.hayes1@bms.com OSH: os.hoekstra@vumc.nl AAL: aa.lammertsma@vumc.nl RB: r.boellaard@vumc.nl Abstract Background: Metabolic tumor volume assessment using positron-emission tomography [PET] may be of interest for both target volume definition in radiotherapy and monitoring response to therapy. It has been reported, however, that metabolic volumes derived from images of metabolic rate of glucose (generated using Patlak analysis) are smaller than those derived from standardized uptake value [SUV] images. The purpose of this study was to systematically compare metabolic tumor volume assessments derived from SUV and Patlak images using a variety of (semi-)automatic tumor delineation methods in order to identify methods that can be used reliably on (whole body) SUV images. Methods: Dynamic [ 18 F]-fluoro-2-deoxy-D-glucose [FDG] PET data from 10 lung and 8 gastrointestinal cancer patients were analyzed retrospectively. Metabolic tumor volumes were derived from both Patlak and SUV images using five different types of tumor delineation methods, based on various thresholds or on a gradient. Results: In general, most tumor delineation methods provided more outliers when metabolic volumes were derived from SUV images rather than This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Measurement of metabolic tumour volume: static versus dynamic FDG scans EJNMMI Research 2011, 1:35 doi:10.1186/2191-219X-1-35 Patsuree Cheebsumon (p.cheebsumon@vumc.nl) Floris H P van Velden (F.vVelden@vumc.nl) Maqsood Yaqub (Maqsood.Yaqub@vumc.nl) Corneline J Hoekstra (C.Hoekstra@jbz.nl) Linda M Velasquez (linda.velasquez@bms.com) Wendy Hayes (wendy.hayes1@bms.com) Otto S Hoekstra (os.hoekstra@vumc.nl) Adriaan A Lammertsma (aa.lammertsma@vumc.nl) Ronald Boellaard (r.boellaard@vumc.nl) ISSN 2191-219X Article type Original research Submission date 7 November 2011 Acceptance date 14 December 2011 Publication date 14 December 2011 Article URL http://www.ejnmmires.com/content/1/1/35 This peer-reviewed article was published immediately upon acceptance. It can be downloaded, printed and distributed freely for any purposes (see copyright notice below). For information about publishing your research in EJNMMI Research go to http://www.ejnmmires.com/authors/instructions/ For information about other SpringerOpen publications go to http://www.springeropen.com EJNMMI Research © 2011 Cheebsumon et al. ; licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1 Measurement of metabolic tumor volume: static versus dynamic FDG scans Patsuree Cheebsumon 1 , Floris HP van Velden 1 , Maqsood Yaqub 1 , Corneline J Hoekstra 2 , Linda M Velasquez 3 , Wendy Hayes 3 , Otto S Hoekstra 1 , Adriaan A Lammertsma 1 , and Ronald Boellaard* 1 1 Department of Nuclear Medicine & PET Research, VU University Medical Center, P.O. Box 7057, Amsterdam, 1007 MB, The Netherlands 2 Department of Nuclear Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, 5223 GZ, The Netherlands 3 Bristol-Myers Squibb, Princeton, NJ, 08543, USA *Corresponding author: r.boellaard@vumc.nl Email addresses: PC: p.cheebsumon@vumc.nl FHPvV: F.vVelden@vumc.nl MY: Maqsood.Yaqub@vumc.nl CJH: C.Hoekstra@jbz.nl LMV: linda.velasquez@bms.com WH: wendy.hayes1@bms.com OSH: os.hoekstra@vumc.nl AAL: aa.lammertsma@vumc.nl RB: r.boellaard@vumc.nl Abstract Background: Metabolic tumor volume assessment using positron-emission tomography [PET] may be of interest for both target volume definition in radiotherapy and monitoring response to therapy. It has been reported, however, that metabolic volumes derived from images of metabolic rate of glucose (generated using Patlak analysis) are smaller than those derived from standardized uptake value [SUV] images. The purpose of this study was to systematically compare metabolic tumor volume assessments derived from SUV and Patlak images using a variety of (semi-)automatic tumor delineation methods in order to identify methods that can be used reliably on (whole body) SUV images. Methods: Dynamic [ 18 F]-fluoro-2-deoxy-D-glucose [FDG] PET data from 10 lung and 8 gastrointestinal cancer patients were analyzed retrospectively. Metabolic tumor volumes were derived from both Patlak and SUV images using five different types of tumor delineation methods, based on various thresholds or on a gradient. Results: In general, most tumor delineation methods provided more outliers when metabolic volumes were derived from SUV images rather than Patlak images. Only gradient-based methods showed more outliers for Patlak-based tumor delineation. Median measured metabolic volumes derived from SUV