000177234 001__ 177234
000177234 005__ 20240229133734.0
000177234 0247_ $$2doi$$a10.1016/j.ijrobp.2021.07.127
000177234 0247_ $$2pmid$$apmid:34700563
000177234 0247_ $$2ISSN$$a0360-3016
000177234 0247_ $$2ISSN$$a1879-355X
000177234 037__ $$aDKFZ-2021-02368
000177234 041__ $$aEnglish
000177234 082__ $$a610
000177234 1001_ $$0P:(DE-HGF)0$$aHarris, T.$$b0$$eFirst author
000177234 245__ $$aBeam's-Eye-View Imaging of Liver SBRT With a Novel Multi-Layer Imager.
000177234 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2021
000177234 3367_ $$2DRIVER$$aarticle
000177234 3367_ $$2DataCite$$aOutput Types/Journal article
000177234 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1635927127_31474
000177234 3367_ $$2BibTeX$$aARTICLE
000177234 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000177234 3367_ $$00$$2EndNote$$aJournal Article
000177234 500__ $$a#EA:E041#
000177234 520__ $$aBeams-eye view (BEV) imaging during radiation therapy can be used for real-time localization of the treatment target. However, clinical implementation is limited by the poor performance of current electronic portal imaging devices (EPIDs). A novel multilayer imager (MLI), consisting of four stacked conventional flat-panel imagers, was recently shown to have 5.7 times the detective quantum efficiency and nearly 2 times the contrast-to-noise ratio of a conventional EPID. In the current study, we compare the MLI against a single layer imager for the application of fiducial tracking during liver SBRT procedures. The hypothesis is that the MLI will provide more accurate and efficient fiducial tracking.The prototype MLI was installed in the standard MV imager housing on a clinical LINAC, replacing the conventional EPID. The MV imager arm was extended during volumetric modulated arc therapy (VMAT) SBRT treatments for passive data acquisition. Six patients with liver metastases receiving SBRT in 3-5 fractions (900-1200 cGy/fx) were studied. Data was acquired for two fractions of each treatment course, one fraction with the MLI using all 4 layers and one with the MLI using the top layer only. Automatic fiducial localization was performed using a modification of a previously published algorithm. Truth data was derived using external surrogate respiratory traces combined with manual tracking. Results for 4- and 1-layer modes were compared against truth data to determine tracking accuracy and efficiency. Tracking and noise improvements were assessed for any correlation.Between 2771 to 6505 image frames were acquired for each patient, with roughly half of each corresponding to acquisition in 1-layer mode and the other half 4-layer mode. Tracking accuracy with the 1-layer imager returned a root mean square error (RMSE) of 2.1 mm compared to 4-layer RMSE of 1.5 mm, a statistically significant (P < 0.001) improvement of 0.6 mm. Successful tracking efficiency with 4 layers improved to 82.8% versus 58.4% for the 1-layer mode, a relative improvement of 41.8% (P < 0.001). There was a strong correlation (r = 0.913) between the increase in successfully tracked frames and reduction in noise when using the 4-layer mode.Noise reduction and increased MV photon detection efficiency achieved by utilizing a multi-layer MV imager results in improved fiducial tracking for liver SBRT treatments. Future BEV clinical applications may be improved by pursuing similar noise reduction and photon detection enhancement strategies.
000177234 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0
000177234 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000177234 7001_ $$0P:(DE-He78)102624aca75cfe987c05343d5fdcf2fe$$aSeco, J.$$b1$$udkfz
000177234 7001_ $$aFerguson, D.$$b2
000177234 7001_ $$aJacobson, M.$$b3
000177234 7001_ $$aMyronakis, M.$$b4
000177234 7001_ $$aLozano, I Valencia$$b5
000177234 7001_ $$aLehmann, M.$$b6
000177234 7001_ $$aHuber, P.$$b7
000177234 7001_ $$aFueglistaller, R.$$b8
000177234 7001_ $$aMorf, D.$$b9
000177234 7001_ $$aMamon, H. J.$$b10
000177234 7001_ $$aMancias, J. D.$$b11
000177234 7001_ $$aMartin, N. E.$$b12
000177234 7001_ $$aBerbeco, R. I.$$b13
000177234 773__ $$0PERI:(DE-600)1500486-7$$a10.1016/j.ijrobp.2021.07.127$$gVol. 111, no. 3S, p. S47 -$$n3S$$pS47$$tInternational journal of radiation oncology, biology, physics$$v111$$x0360-3016$$y2021
000177234 909CO $$ooai:inrepo02.dkfz.de:177234$$pVDB
000177234 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000177234 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)102624aca75cfe987c05343d5fdcf2fe$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000177234 9131_ $$0G:(DE-HGF)POF4-315$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vBildgebung und Radioonkologie$$x0
000177234 9141_ $$y2021
000177234 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-01-27$$wger
000177234 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bINT J RADIAT ONCOL : 2019$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-01-27
000177234 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bINT J RADIAT ONCOL : 2019$$d2021-01-27
000177234 9201_ $$0I:(DE-He78)E041-20160331$$kE041$$lE041 Medizinische Physik in der Radioonkologie$$x0
000177234 980__ $$ajournal
000177234 980__ $$aVDB
000177234 980__ $$aI:(DE-He78)E041-20160331
000177234 980__ $$aUNRESTRICTED