{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T01:54:31Z","timestamp":1778810071178,"version":"3.51.4"},"reference-count":25,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2015,3,31]],"date-time":"2015-03-31T00:00:00Z","timestamp":1427760000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"tdm","delay-in-days":154,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"name":"The Ride to Conquer Cancer"},{"name":"The Ride to Conquer Cancer"}],"content-domain":{"domain":["aip.org"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2015,4]]},"abstract":"<jats:sec><jats:title>Purpose:<\/jats:title><jats:p>Xerostomia is one of the most likely late toxic effects of radiotherapy treatment in patients with head\u2010and\u2010neck cancers. Modern treatment techniques can incorporate knowledge of complication risk into treatment plans. To this end, the authors attempt to quantify the regional radiotherapy dose\u2010dependence of salivary output loss and recovery in a prospective study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods:<\/jats:title><jats:p>Salivary output was collected from patients undergoing radiotherapy treatment for head\u2010and\u2010neck cancers at the BC Cancer Agency between February 2008 and May 2013. Regional dose\u2010dependence (i.e., dose susceptibility) of loss and recovery is quantified using nonparametric (Spearman's rank correlation coefficients, local linear regression) and parametric (least\u2010sum of squares, least\u2010median of squares) techniques.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p>Salivary flow recovery was seen in 79 of 102 patients considered (<jats:italic>p<\/jats:italic> &lt; 0.0001, Wilcoxon sign rank test). Output loss was strongly correlated with left\u2010 and right parotid combined dose <jats:italic>\u03c6<\/jats:italic> = min (<jats:italic>D<jats:sub>L<\/jats:sub><\/jats:italic>, \u200945 Gy) + min (<jats:italic>D<jats:sub>R<\/jats:sub><\/jats:italic>, \u200945 Gy), and can be accurately predicted. Median early loss (three months) was 72% of baseline, while median overall loss (1 yr) was 56% of baseline. Fitting an exponential model to whole parotid yields dose sensitivities <jats:italic>A<\/jats:italic><jats:sub>3<jats:italic>m<\/jats:italic><\/jats:sub> = 0.0604 Gy<jats:sup>\u22121<\/jats:sup> and <jats:italic>A<\/jats:italic><jats:sub>1<jats:italic>y<\/jats:italic><\/jats:sub> = 0.0379 Gy<jats:sup>\u22121<\/jats:sup>. Recovery was not significantly associated with dose. Hints of lateral organ sub\u2010segment dose\u2013response dimorphism were observed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions:<\/jats:title><jats:p>Sub\u2010segmentation appears to predict neither loss nor recovery with any greater precision than whole parotid mean dose, though it is not any worse. Sparing the parotid to a combined dose <jats:italic>\u03c6<\/jats:italic> of &lt;50 Gy is recommended for a patient to keep \u224840% of baseline function and thus avoid severe xerostomia at 12 months post\u2010treatment. It seems unlikely that a population's mean recovery will exceed 20%\u201330% of baseline output at 1 yr after radiotherapy treatment using current (whole\u2010organ based) clinical guidelines.<\/jats:p><\/jats:sec>","DOI":"10.1118\/1.4915077","type":"journal-article","created":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T12:46:07Z","timestamp":1427892367000},"page":"2064-2071","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":9,"title":["Regional radiation dose susceptibility within the parotid gland: Effects on salivary loss and recovery"],"prefix":"10.1002","volume":"42","author":[{"given":"Haley","family":"Clark","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Allan","family":"Hovan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vitali","family":"Moiseenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonn","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Reinsberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,3,31]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0959\u20108049(05)80076\u20100"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0360\u20103016(03)00361\u20104"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oraloncology.2013.02.013"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2004.12.076"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2012.02.006"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0360\u20103016(01)01512\u20107"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2006.09.021"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0360\u20103016(00)01441\u20103"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742\u20106596\/489\/1\/012088"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742\u20106596\/489\/1\/012009"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781420036268"},{"key":"e_1_2_7_13_1","volume-title":"All of Nonparametric Statistics","author":"Wasserman L.","year":"2006"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000000133"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/7.4.308"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.2307\/1412159"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.2307\/2531822"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0022\u20101694(01)00594\u20107"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2005.11.022"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2009.06.090"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1139\/f02\u2010112"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344552"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600\u20100722.2005.00241.x"},{"key":"e_1_2_7_24_1","doi-asserted-by":"publisher","DOI":"10.1177\/00220345000790090301"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2009.03.039"},{"key":"e_1_2_7_26_1","doi-asserted-by":"crossref","unstructured":"F.Buettneret al. \u201cUsing a Bayesian feature\u2010selection algorithm to identify dose\u2013response models based on the shape of the 3D dose\u2010distribution: An example from a head\u2010and\u2010neck cancer trial \u201d inNinth International Conference on Machine Learning and Applications (ICMLA)(IEEE Washington DC 2010) pp.740\u2013745.","DOI":"10.1109\/ICMLA.2010.113"}],"container-title":["Medical Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1118%2F1.4915077","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1118%2F1.4915077","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1118\/1.4915077","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:12:55Z","timestamp":1694909575000},"score":1,"resource":{"primary":{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/10.1118\/1.4915077"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,31]]},"references-count":25,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,4]]}},"alternative-id":["10.1118\/1.4915077"],"URL":"https:\/\/doi.org\/10.1118\/1.4915077","archive":["Portico"],"relation":{},"ISSN":["0094-2405","2473-4209"],"issn-type":[{"value":"0094-2405","type":"print"},{"value":"2473-4209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,31]]},"assertion":[{"value":"2014-12-18","order":0,"name":"received","label":"received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-02-16","order":1,"name":"revised","label":"revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-02-18","order":2,"name":"accepted","label":"accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-03-31","order":6,"name":"published","label":"published","group":{"name":"publication_history","label":"Publication History"}}]}}