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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003988naa a2200397 4500
001oai:gup.ub.gu.se/199623
003SwePub
008240528s2014 | |||||||||||000 ||eng|
024a https://gup.ub.gu.se/publication/1996232 URI
024a https://doi.org/10.1088/0031-9155/59/14/37492 DOI
040 a (SwePub)gu
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Olsson, Caroline,d 1970u Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology4 aut0 (Swepub:gu)xolcar
2451 0a Influence of image slice thickness on rectal dose-response relationships following radiotherapy of prostate cancer.
264 c 2014-06-17
264 1b IOP Publishing,c 2014
520 a When pooling retrospective data from different cohorts, slice thicknesses of acquired computed tomography (CT) images used for treatment planning may vary between cohorts. It is, however, not known if varying slice thickness influences derived dose-response relationships. We investigated this for rectal bleeding using dose-volume histograms (DVHs) of the rectum and rectal wall for dose distributions superimposed on images with varying CT slice thicknesses. We used dose and endpoint data from two prostate cancer cohorts treated with three-dimensional conformal radiotherapy to either 74 Gy (N = 159) or 78 Gy (N = 159) at 2 Gy per fraction. The rectum was defined as the whole organ with content, and the morbidity cut-off was Grade ≥2 late rectal bleeding. Rectal walls were defined as 3mm inner margins added to the rectum. DVHs for simulated slice thicknesses from 3 to 13mm were compared to DVHs for the originally acquired slice thicknesses at 3 and 5mm. Volumes, mean, and maximum doses were assessed from the DVHs, and generalized equivalent uniform dose (gEUD) values were calculated. For each organ and each of the simulated slice thicknesses, we performed predictive modeling of late rectal bleeding using the Lyman-Kutcher-Burman (LKB) model. For the most coarse slice thickness, rectal volumes increased (≤18%), whereas maximum and mean doses decreased (≤0.8 and ≤4.2Gy, respectively). For all a values, the gEUD for the simulated DVHs were ≤1.9Gy different than the gEUD for the original DVHs. The best-fitting LKB model parameter values with 95% CIs were consistent between all DVHs. In conclusion, we found that the investigated slice thickness variations had minimal impact on rectal dose-response estimations. From the perspective of predictive modeling, our results suggest that variations within 10mm in slice thickness between cohorts are unlikely to be a limiting factor when pooling multi-institutional rectal dose data that include slice thickness variations within this range.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
700a Thor, M4 aut
700a Liu, M4 aut
700a Moissenko, V4 aut
700a Petersen, S E4 aut
700a Høyer, M4 aut
700a Apte, A4 aut
700a Deasy, J O4 aut
710a Göteborgs universitetb Institutionen för kliniska vetenskaper, Avdelningen för onkologi4 org
773t Physics in medicine and biologyd : IOP Publishingg 59:14, s. 3749-3759q 59:14<3749-3759x 1361-6560x 0031-9155
856u https://europepmc.org/articles/pmc4786025?pdf=render
8564 8u https://gup.ub.gu.se/publication/199623
8564 8u https://doi.org/10.1088/0031-9155/59/14/3749

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