{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T21:28:10Z","timestamp":1649194090414},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,4,2]],"date-time":"2012-04-02T00:00:00Z","timestamp":1333324800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2012,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Changes in maximum standardised uptake values (SUV<jats:sub>max<\/jats:sub>) between serial PET\/CT studies are used to determine disease progression or regression in oncologic patients. To measure these changes manually can be time consuming in a clinical routine. A semi-automatic method for calculation of SUV<jats:sub>max<\/jats:sub> in serial PET\/CT studies was developed and compared to a conventional manual method. The semi-automatic method first aligns the serial PET\/CT studies based on the CT images. Thereafter, the reader selects an abnormal lesion in one of the PET studies. After this manual step, the program automatically detects the corresponding lesion in the other PET study, segments the two lesions and calculates the SUV<jats:sub>max<\/jats:sub> in both studies as well as the difference between the SUV<jats:sub>max<\/jats:sub> values. The results of the semi-automatic analysis were compared to that of a manual SUV<jats:sub>max<\/jats:sub> analysis using a Philips PET\/CT workstation. Three readers did the SUV<jats:sub>max<\/jats:sub> readings in both methods. Sixteen patients with lung cancer or lymphoma who had undergone two PET\/CT studies were included. There were a total of 26 lesions.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Linear regression analysis of changes in SUV<jats:sub>max<\/jats:sub> show that intercepts and slopes are close to the line of identity for all readers (reader 1: intercept = 1.02, R<jats:sup>2<\/jats:sup> = 0.96; reader 2: intercept = 0.97, R<jats:sup>2<\/jats:sup> = 0.98; reader 3: intercept = 0.99, R<jats:sup>2<\/jats:sup> = 0.98). Manual and semi-automatic method agreed in all cases whether SUV<jats:sub>max<\/jats:sub> had increased or decreased between the serial studies. The average time to measure SUV<jats:sub>max<\/jats:sub> changes in two serial PET\/CT examinations was four to five times longer for the manual method compared to the semi-automatic method for all readers (reader 1: 53.7 vs. 10.5 s; reader 2: 27.3 vs. 6.9 s; reader 3: 47.5 vs. 9.5 s; <jats:italic>p<\/jats:italic> &lt; 0.001 for all).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>Good agreement was shown in assessment of SUV<jats:sub>max<\/jats:sub> changes between manual and semi-automatic method. The semi-automatic analysis was four to five times faster to perform than the manual analysis. These findings show the feasibility of using semi-automatic methods for calculation of SUV<jats:sub>max<\/jats:sub> in clinical routine and encourage further development of programs using this type of methods.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2342-12-6","type":"journal-article","created":{"date-parts":[[2012,4,2]],"date-time":"2012-04-02T08:14:00Z","timestamp":1333354440000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Semi-automatic analysis of standard uptake values in serial PET\/CT studies in patients with lung cancer and lymphoma"],"prefix":"10.1186","volume":"12","author":[{"given":"John","family":"Ly","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabine","family":"Garpered","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"H\u00f6glund","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eskil","family":"J\u00f6nsson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sven","family":"Valind","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Edenbrandt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Per","family":"Wollmer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,4,2]]},"reference":[{"issue":"2","key":"133_CR1","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ejca.2008.10.026","volume":"45","author":"EA Eisenhauer","year":"2009","unstructured":"Eisenhauer EA, et al: New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009, 45 (2): 228-247. 10.1016\/j.ejca.2008.10.026.","journal-title":"Eur J Cancer"},{"issue":"1","key":"133_CR2","doi-asserted-by":"publisher","first-page":"88","DOI":"10.2967\/jnumed.108.054205","volume":"50","author":"S Ben-Haim","year":"2009","unstructured":"Ben-Haim S, et al: 18F-FDG PET and PET\/CT in the evaluation of cancer treatment response. J Nucl Med. 2009, 50 (1): 88-99. Review","journal-title":"J Nucl Med"},{"issue":"Suppl 1","key":"133_CR3","doi-asserted-by":"publisher","first-page":"31S","DOI":"10.2967\/jnumed.108.057216","volume":"50","author":"RJ Hicks","year":"2009","unstructured":"Hicks RJ: Role of 18F-FDG PET in assessment of response in non-small cell lung cancer. J Nucl Med. 2009, 50 (Suppl 1): 31S-42S.","journal-title":"J Nucl Med"},{"issue":"2","key":"133_CR4","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1148\/radiol.2422051113","volume":"242","author":"TM Blodgett","year":"2007","unstructured":"Blodgett TM, et al: PET\/CT: Form and Function. Radiology. 2007, 242 (2): 360-385. 10.1148\/radiol.2422051113. Review","journal-title":"Radiology"},{"key":"133_CR5","doi-asserted-by":"publisher","first-page":"1760","DOI":"10.2967\/jnumed.109.063321","volume":"50","author":"HA Jacene","year":"2009","unstructured":"Jacene HA, et al: Assessment of interobserver reproducibility in quantitative 18-F-FDG PET and CT measurements of tumor response to therapy. J Nucl Med. 2009, 50: 1760-1769. 10.2967\/jnumed.109.063321.","journal-title":"J Nucl Med"},{"key":"133_CR6","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.acra.2009.10.026","volume":"17","author":"X Gao","year":"2010","unstructured":"Gao X, et al: Computer-assisted quantitative evaluation of therapeutic responses for lymphoma using serial PET\/CT imaging. Acad Radiol. 2010, 17: 479-488. 10.1016\/j.acra.2009.10.026.","journal-title":"Acad Radiol"},{"issue":"2","key":"133_CR7","doi-asserted-by":"publisher","first-page":"268","DOI":"10.2967\/jnumed.109.066241","volume":"51","author":"Tylski","year":"2010","unstructured":"Tylski , et al: Comparative assessment of methods for estimating tumor volume and standardized uptake value in 18F-FDG PET. J Nucl Med February. 2010, 51 (2): 268-276. 10.2967\/jnumed.109.066241.","journal-title":"J Nucl Med February"},{"key":"133_CR8","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s11517-009-0549-6","volume":"48","author":"Wang","year":"2010","unstructured":"Wang , et al: Computer-assisted quantification of lung tumors in respiratory gated PET\/CT images: phantom study. Med Biol Eng Comput. 2010, 48: 49-58. 10.1007\/s11517-009-0549-6.","journal-title":"Med Biol Eng Comput"},{"issue":"7","key":"133_CR9","doi-asserted-by":"publisher","first-page":"2452","DOI":"10.1118\/1.2207133","volume":"33","author":"J Yan","year":"2006","unstructured":"Yan J, et al: Marker-controlled watershed for lymphoma segmentation in sequential CT images. Med Phys. 2006, 33 (7): 2452-2460. 10.1118\/1.2207133.","journal-title":"Med Phys"},{"issue":"1","key":"133_CR10","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1118\/1.2404617","volume":"34","author":"J Yan","year":"2007","unstructured":"Yan J, et al: Automated matching and segmentation of lymphoma on serial CT examinations. Med Phys. 2007, 34 (1): 55-62. 10.1118\/1.2404617.","journal-title":"Med Phys"},{"key":"133_CR11","doi-asserted-by":"publisher","first-page":"1727","DOI":"10.2967\/jnumed.111.089326","volume":"52","author":"Fox","year":"2011","unstructured":"Fox , et al: Practical approach for comparative analysis of multilesion molecular imaging using a semiautomated program for PET\/CT. J Nucl Med. 2011, 52: 1727-1732. 10.2967\/jnumed.111.089326.","journal-title":"J Nucl Med"},{"key":"133_CR12","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s00259-010-1688-6","volume":"38","author":"Hatt","year":"2011","unstructured":"Hatt , et al: PET functional volume delineation: a robustness and repeatability study. Eur J Nucl Med Mol Imaging. 2011, 38: 663-672. 10.1007\/s00259-010-1688-6.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"12","key":"133_CR13","doi-asserted-by":"publisher","first-page":"2136","DOI":"10.1007\/s00259-011-1899-5","volume":"38","author":"Cheebsumon","year":"2011","unstructured":"Cheebsumon , et al: Impact of [18F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology. Eur J Nucl Med Mol Imaging. 2011, 38 (12): 2136-2144. 10.1007\/s00259-011-1899-5. ISSN 1619-7070, 12\/2011","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"10","key":"133_CR14","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.2967\/jnumed.111.088914","volume":"52","author":"NO Cheebsumon","year":"2011","unstructured":"Cheebsumon NO, et al: Effects of image characteristics on performance of tumor delineation methods: a test-retest assessment. J Nucl Med. 2011, 52 (10): 1550-1558. 10.2967\/jnumed.111.088914.","journal-title":"J Nucl Med"},{"key":"133_CR15","first-page":"105","volume":"1","author":"Yuri Boykov","year":"2001","unstructured":"Boykov Yuri, et al: Interactive graph cuts for optimal boundary & region segmentation of objects in N- D images. Computer Vision. 2001, 1: 105-112.","journal-title":"Computer Vision"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2342-12-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2342-12-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2342-12-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2342-12-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T18:52:23Z","timestamp":1630522343000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/1471-2342-12-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4,2]]},"references-count":15,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,12]]}},"alternative-id":["133"],"URL":"https:\/\/doi.org\/10.1186\/1471-2342-12-6","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4,2]]},"assertion":[{"value":"10 August 2011","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2012","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2012","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"6"}}