{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T11:08:52Z","timestamp":1724411332158},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T00:00:00Z","timestamp":1577318400000},"content-version":"vor","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2019,12]]},"abstract":"Abstract<\/jats:title>\nBackground<\/jats:title>\nLung cancer is a leading cause of morbidity and mortality worldwide. Radiotherapy for lung cancer is beneficial in both the radical and palliative settings, and technologic advances in recent years now afford an opportunity for this treatment to be more targeted than ever before. Although the delivery of more accurate forms of radiotherapy has minimized the risks of side-effects, how to utilize this treatment to optimize outcomes remains questionable. This study aimed to evaluate the accuracy of cone beam computed tomography (CBCT) image registration used in image-guided radiotherapy, providing reasonable guidance for clinic application of CBCT in lung cancer.<\/jats:p>\n<\/jats:sec>\nMethods<\/jats:title>\nA total of 53 patients with lung carcinoma including 34 central and 19 peripheral lesions were collected in this study. Varian-IX linear accelerator on-board imaging (OBI) system was used to acquire CBCT scans in three-dimensional (3D) conformal radiotherapy before delivery. Different regions (whole lung\/target\/vertebrae\/ipsilateral structure) were manually registered, and the position deviation and the registration time were analyzed.<\/jats:p>\n<\/jats:sec>\nResults<\/jats:title>\nIt was suggested that 34 cases belonged to central type and 19 cases belonged to peripheral type. The volume of left lung and right lung was 1242.98\u2009\u00b1\u2009452.46\u2009cc, 1689.69\u2009\u00b1\u2009574.31\u2009cc, respectively. Tumor size was 6.65\u2009\u00b1\u20093.87\u2009cm in diameter, and 129.67\u2009\u00b1\u2009136.48\u2009cc in volume. The percentage of left lung and right lung was 6.17\u2009\u00b1\u20091.24%, 4.74\u2009\u00b1\u20090.38%, respectively. The position deviation value and absolute value of image registration methods of X, Y and Z axis were not significant (P<\/jats:italic>\u2009>\u20090.05). However, registration time (s) between whole lung registration group, tumor registration group, vertebral body registration group, affected lung registration group, and artificial registration group, was 3.651\u2009\u00b1\u20090.867\u2009s, 1.144\u2009\u00b1\u20090.129\u2009s, 1.226\u2009\u00b1\u20090.126\u2009s, 2.081\u2009\u00b1\u20090.427\u2009s, 179.491\u2009\u00b1\u200971.975\u2009s, respectively. The differences were significant (P<\/jats:italic>\u2009<\u20090.05). The registration differences between small tumor group and large tumor group were not statistically significant (P<\/jats:italic>\u2009>\u20090.05).<\/jats:p>\n<\/jats:sec>\nConclusion<\/jats:title>\nThe automatic image matching of OBI is accuracy and high reliability in recognition of offset error. Registering body or ipsilateral structure is recommended to be used in CBCT for lung cancer.<\/jats:p>\n<\/jats:sec>","DOI":"10.1186\/s12880-019-0402-9","type":"journal-article","created":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T18:02:44Z","timestamp":1577383364000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Comparative evaluation of image registration methods with different interest regions in lung cancer radiotherapy"],"prefix":"10.1186","volume":"19","author":[{"given":"Xiaohui","family":"Cao","sequence":"first","affiliation":[]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Fushan","family":"Zhai","sequence":"additional","affiliation":[]},{"given":"Nan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chaoen","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Yinliang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,26]]},"reference":[{"issue":"11","key":"402_CR1","first-page":"805","volume":"40","author":"KX Sun","year":"2018","unstructured":"Sun KX, Zheng RS, Zeng HM, Zhang SW, Zou XN, Gu XY, Xia CF, Yang ZX, Li H, Chen WQ, He J. The incidence and mortality of lung cancer in China, 2014. Zhonghua Zhong Liu Za Zhi. 2018;40(11):805\u201311.","journal-title":"Zhonghua Zhong Liu Za Zhi"},{"issue":"2","key":"402_CR2","doi-asserted-by":"publisher","first-page":"47","DOI":"10.2217\/lmt-2017-0006","volume":"6","author":"MT Corkum","year":"2017","unstructured":"Corkum MT, Rodrigues GB. Patient selection for thoracic radiotherapy in extensive-stage small-cell lung cancer. Lung Cancer Manag. 2017;6(2):47\u201353.","journal-title":"Lung Cancer Manag"},{"issue":"3","key":"402_CR3","doi-asserted-by":"publisher","first-page":"177","DOI":"10.4103\/0971-6203.189481","volume":"41","author":"S Deshpande","year":"2016","unstructured":"Deshpande S, Dhote D, Thakur K, Pawar A, Kumar R, Kumar M, Kulkarni MS, Sharma SD, Kannan V. Measurement of eye lens dose for Varian on-board imaging with different cone-beam computed tomography acquisition techniques. J Med Phys. 2016;41(3):177\u201381.","journal-title":"J Med Phys."},{"key":"402_CR4","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/1748-717X-3-42","volume":"3","author":"A Richter","year":"2008","unstructured":"Richter A, Hu Q, Steglich D, Baier K, Wilbert J, Guckenberger M, Flentje M. Investigation of the usability of conebeam CT data sets for dose calculation. Radiat Oncol. 2008;3:42.","journal-title":"Radiat Oncol"},{"key":"402_CR5","doi-asserted-by":"publisher","first-page":"6525","DOI":"10.2147\/CMAR.S174801","volume":"10","author":"R Zhang","year":"2018","unstructured":"Zhang R, Li P, Li Q, Qiao Y, Xu T, Ruan P, Song Q, Fu Z. Radiotherapy improves the survival of patients with extensive-disease small-cell lung cancer: a propensity score matched analysis of surveillance, epidemiology, and end results database. Cancer Manag Res. 2018;10:6525\u201335.","journal-title":"Cancer Manag Res"},{"issue":"4","key":"402_CR6","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1016\/j.ijrobp.2003.12.024","volume":"59","author":"JL Barker Jr","year":"2004","unstructured":"Barker JL Jr, Garden AS, Ang KK, O'Daniel JC, Wang H, Court LE, Morrison WH, Rosenthal DI, Chao KS, Tucker SL, Mohan R, Dong L. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT\/linear accelerator system. Int J Radiat Oncol Biol Phys. 2004;59(4):960\u201370.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"4","key":"402_CR7","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/s12194-018-0476-z","volume":"11","author":"T Hashido","year":"2018","unstructured":"Hashido T, Nakasone S, Fukao M, Ota S, Inoue S. Comparison between manual and automatic image registration in image-guided radiation therapy using megavoltage cone-beam computed tomography with an imaging beam line for prostate cancer. Radiol Phys Technol. 2018;11(4):392\u2013405.","journal-title":"Radiol Phys Technol"},{"issue":"4","key":"402_CR8","doi-asserted-by":"publisher","first-page":"207","DOI":"10.4103\/jmp.JMP_67_18","volume":"43","author":"P Mohandass","year":"2018","unstructured":"Mohandass P, Khanna D, Kumar TM, Thiyagaraj T, Saravanan C, Bhalla NK, Puri A. Study to compare the effect of different registration methods on patient setup uncertainties in cone-beam computed tomography during volumetric modulated arc therapy for breast Cancer patients. J Med Phys. 2018;43(4):207\u201313.","journal-title":"J Med Phys"},{"issue":"56","key":"402_CR9","doi-asserted-by":"publisher","first-page":"95577","DOI":"10.18632\/oncotarget.21520","volume":"8","author":"CY Hu","year":"2017","unstructured":"Hu CY, Li JB, Wang JZ, Wang W, Li FX, Guo YL. Comparison of gross tumor volume of primary oesophageal cancer based on contrast-enhanced three-dimensional, four-dimensional, and cone beam computed tomography. Oncotarget. 2017;8(56):95577\u201385.","journal-title":"Oncotarget."},{"issue":"2","key":"402_CR10","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1177\/1533034616685942","volume":"16","author":"W Chen","year":"2017","unstructured":"Chen W, Bai P, Pan J, Xu Y, Chen K. Changes in tumor volumes and spatial locations relative to Normal tissues during cervical Cancer radiotherapy assessed by cone beam computed tomography. Technol Cancer Res Treat. 2017;16(2):246\u201352.","journal-title":"Technol Cancer Res Treat"},{"issue":"4","key":"402_CR11","first-page":"1757","volume":"33","author":"RE Friedrich","year":"2013","unstructured":"Friedrich RE, Heiland M, Assaf AT, Riecke B. Cone beam computed tomography in the differential diagnosis of mental neuropathy (numb chin syndrome) in metastatic colon cancer. Anticancer Res. 2013;33(4):1757\u201360.","journal-title":"Anticancer Res"},{"key":"402_CR12","doi-asserted-by":"crossref","unstructured":"Star-Lack J, Sun M, Oelhafen M, Berkus T, Pavkovich J, Brehm M, Arheit M, Paysan P, Wang A, Munro P, Seghers D, Carvalho LM, Verbakel WFAR. A modified McKinnon-bates (MKB) algorithm for improved 4D cone-beam computed tomography (CBCT) of the lung. Med Phys. 2018; In press.","DOI":"10.1002\/mp.13034"},{"key":"402_CR13","first-page":"3953","volume":"116","author":"DR Simpson","year":"2010","unstructured":"Simpson DR, Lawson JD, Nath SK, Rose BS, Mundt AJ, Mell LK. A survey of image-guided radiation therapy used in the united state. Int J Radiat Oncol Biol Phys. 2010;116:3953\u201360.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"1","key":"402_CR14","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ijrobp.2011.11.047","volume":"84","author":"MJ Zelefsky","year":"2012","unstructured":"Zelefsky MJ, Kollmeier M, Cox B, Fidaleo A, Sperling D, Pei X, Carver B, Coleman J, Lovelock M, Hunt M. Improved clinical outcomes with high-dose image guided radiotherapy compared with non-IGRT for the treatment of clinically localized prostate cancer. Int J Radiat Oncol Biol Phys. 2012;84(1):125\u20139.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"1","key":"402_CR15","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.ijrobp.2008.03.015","volume":"73","author":"HT Chung","year":"2009","unstructured":"Chung HT, Xia P, Chan LW, Park-Somers E, Roach M 3rd. Does image-guided radiotherapy improve toxicity profile in whole pelvic-treated high-risk prostate cancer? Comparison between IG-IMRT and IMRT. Int J Radiat Oncol Biol Phys. 2009;73(1):53\u201360.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"6\u20137","key":"402_CR16","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.canrad.2018.06.009","volume":"22","author":"A Aboudaram","year":"2018","unstructured":"Aboudaram A, Khalifa J, Massabeau C, Simon L, Hadj Henni A, Thureau S. Image-guided radiotherapy in lung cancer. Cancer Radiother. 2018;22(6\u20137):602\u20137.","journal-title":"Cancer Radiother"},{"issue":"3","key":"402_CR17","doi-asserted-by":"publisher","first-page":"46","DOI":"10.4329\/wjr.v11.i3.46","volume":"11","author":"XC Ren","year":"2019","unstructured":"Ren XC, Liu YE, Li J, Lin Q. Progress in image-guided radiotherapy for the treatment of non-small cell lung cancer. World J Radiol. 2019;11(3):46\u201354.","journal-title":"World J Radiol"},{"issue":"5","key":"402_CR18","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1016\/j.ijrobp.2018.03.025","volume":"101","author":"N Yegya-Raman","year":"2018","unstructured":"Yegya-Raman N, Kim S, Deek MP, Li D, Gupta A, Bond L, Dwivedi A, Braver JK, Reyhan M, Mittal A, Gui B, Malhotra J, Aisner J, Jabbour SK. Daily image guidance with cone beam computed tomography may reduce radiation pneumonitis in Unresectable non-small cell lung Cancer. Int J Radiat Oncol Biol Phys. 2018;101(5):1104\u201312.","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"402_CR19","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1177\/1465312519840029","volume":"46","author":"R Leonardi","year":"2019","unstructured":"Leonardi R. Cone-beam computed tomography and three-dimensional orthodontics. Where we are and future perspectives. J Orthod. 2019;46:45\u20138.","journal-title":"J Orthod"},{"issue":"2","key":"402_CR20","doi-asserted-by":"publisher","first-page":"106","DOI":"10.3322\/canjclin.56.2.106","volume":"56","author":"A Jemal","year":"2006","unstructured":"Jemal A, Siegel R, Ward E, Murray T, Xu J, Smigal C, Thun MJ. Cancer statistics, 2006. CA Cancer J Clin. 2006;56(2):106\u201330.","journal-title":"CA Cancer J Clin"},{"issue":"2","key":"402_CR21","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.radonc.2011.05.037","volume":"99","author":"R Muirhead","year":"2011","unstructured":"Muirhead R, van der Weide L, van Sornsen de Koste JR, Cover KS, Senan S. Use of megavoltage cine-images for studying intra-thoracic motion during radiotherapy for locally advanced lung cancer. Radiother Oncol. 2011;99(2):155\u201360.","journal-title":"Radiother Oncol"},{"issue":"4","key":"402_CR22","doi-asserted-by":"publisher","first-page":"361","DOI":"10.17796\/jcpd.34.4.w8n6321878105431","volume":"34","author":"K Tai","year":"2010","unstructured":"Tai K, Park JH, Mishima K, Hotokezaka H. Using superimposition of 3-dimensional cone-beam computed tomography images with surface-based registration in growing patients. J Clin Pediatr Dent. 2010;34(4):361\u20137.","journal-title":"J Clin Pediatr Dent"},{"issue":"3","key":"402_CR23","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.ajodo.2017.06.027","volume":"153","author":"L Sun","year":"2018","unstructured":"Sun L, Hwang HS, Lee KM. Registration area and accuracy when integrating laser-scanned and maxillofacial cone-beam computed tomography images. Am J Orthod Dentofac Orthop. 2018;153(3):355\u201361.","journal-title":"Am J Orthod Dentofac Orthop"},{"issue":"5","key":"402_CR24","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.rpor.2016.07.001","volume":"21","author":"N Kanakavelu","year":"2016","unstructured":"Kanakavelu N, Samuel EJ. Accuracy in automatic image registration between MV cone beam computed tomography and planning kV computed tomography in image guided radiotherapy. Rep Pract Oncol Radiother. 2016;21(5):487\u201394.","journal-title":"Rep Pract Oncol Radiother"},{"issue":"4","key":"402_CR25","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/j.ajodo.2015.09.026","volume":"149","author":"AC Ruellas","year":"2016","unstructured":"Ruellas AC, Huanca Ghislanzoni LT, Gomes MR, Danesi C, Lione R, Nguyen T, McNamara JA Jr, Cozza P, Franchi L, Cevidanes LH. Comparison and reproducibility of 2 regions of reference for maxillary regional registration with cone-beam computed tomography. Am J Orthod Dentofac Orthop. 2016;149(4):533\u201342.","journal-title":"Am J Orthod Dentofac Orthop"},{"issue":"2","key":"402_CR26","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1016\/j.ijrobp.2012.12.023","volume":"86","author":"S Balik","year":"2013","unstructured":"Balik S, Weiss E, Jan N, Roman N, Sleeman WC, Fatyga M, Christensen GE, Zhang C, Murphy MJ, Lu J, Keall P, Williamson JF, Hugo GD. Evaluation of 4-dimensional computed tomography to 4-dimensional cone-beam computed tomography deformable image registration for lung cancer adaptive radiation therapy. Int J Radiat Oncol Biol Phys. 2013;86(2):372\u20139.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"2","key":"402_CR27","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.radonc.2011.05.020","volume":"99","author":"X Wang","year":"2011","unstructured":"Wang X, Zhong R, Bai S, Xu Q, Zhao Y, Wang J, Jiang X, Shen Y, Xu F, Wei Y. Lung tumor reproducibility with active breath control (ABC) in image-guided radiotherapy based on cone-beam computed tomography with two registration methods. Radiother Oncol. 2011;99(2):148\u201354.","journal-title":"Radiother Oncol"},{"issue":"7","key":"402_CR28","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.3109\/0284186X.2010.500303","volume":"49","author":"W Ottosson","year":"2010","unstructured":"Ottosson W, Baker M, Hedman M, Behrens CF, Sj\u00f6str\u00f6m D. Evaluation of setup accuracy for NSCLC patients; studying the impact of different types of cone-beam CT matches based on whole thorax, columna vertebralis, and GTV. Acta Oncol. 2010;49(7):1184\u201391.","journal-title":"Acta Oncol"},{"key":"402_CR29","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.ejmp.2015.01.004","volume":"31","author":"M Nakamura","year":"2015","unstructured":"Nakamura M, Akimoto M, Mukumoto N, Yamada M, Tanabe H, Ueki N, Matsuo Y, Mizowaki T, Kokubo M, Hiraoka M. Influence of the correlation modeling period on the prediction accuracy of infrared marker-based dynamic tumor tracking using a gimbaled X-ray head. Phys Med. 2015;31:204\u20139.","journal-title":"Phys Med"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-019-0402-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12880-019-0402-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-019-0402-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T00:11:00Z","timestamp":1608855060000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-019-0402-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":29,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["402"],"URL":"https:\/\/doi.org\/10.1186\/s12880-019-0402-9","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]},"assertion":[{"value":"18 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 December 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This study is approved by relevant Ethics Committee of the Third Hospital of Hebei Medical University, China. Informed consent was obtained from all individual participants included in the study.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Consent for publication was obtained from patients involved in the current study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"There are no conflicts of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"100"}}