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dc.contributor.authorOsorio, E. M. V.
dc.contributor.authorAbravan, A.
dc.contributor.authorGreen, A.
dc.contributor.authorGreeen, A.
dc.contributor.authorKota, V.
dc.contributor.authorGaito, S.
dc.contributor.authorMcPartlin, A.
dc.contributor.authorvan Herk, M.
dc.date.accessioned2022-01-11T11:59:53Z
dc.date.available2022-01-11T11:59:53Z
dc.date.issued2021en
dc.identifier.citationOsorio EMV, Abravan A, Green A, Greeen A, Kota V, Gaito S, et al. Reactive Feeding Tube Insertion Relates to Dose to Tongue Subunits and Brainstem. Radiotherapy and Oncology. 2021;161:S78-S80.en
dc.identifier.urihttp://hdl.handle.net/10541/624904
dc.description.abstractPurpose or Objective Outcomes of head and neck (H&N) cancer treatments are compromised by malnutrition. Causes for this are complex and are not completely understood. During radiotherapy, malnutrition can be mitigated using enteral nutrition via a feeding tube insertion (FTi) when required. Here, we explore the relation between dose to healthy anatomy and reactive FTi. Material and Methods Voxel-wise image-based data mining (IBDM) was applied to data from 210 H&N cancer patients treated in 2016-2017 with definitive (Chemo)RT. We spatially normalised all patient’s planning dose matrices (in equivalent dose at 2 Gy/fraction, α/β=10) to a reference patient anatomy using NiftyReg [1]. To reduce target laterality bias, patients were mirrored in the lateral axis and also mapped to the reference patient. The reference patient contained contours of typical OARs, such as the parotid glands and brainstem, and of functional swallowing subunits [2] derived from 8 atlas patients. Regions where the mean dose for groups with/without FTi differed significantly were identified using permutation test (1000 permutations). Mean/max doses were collected for OARs overlapping the identified region. Random forest classifiers (RFC) were used to reduce number of highly correlated dosimetric variables. 1000 RFCs with 100 trees each were trained using random 80%-20% data splits. The 5 most important variables were identified based on the number of times they were selected as the top factor in any RFC. Dose and clinical variables were then evaluated in a multivariable logistic regression model. Backward stepwise model selection was used to create the final model. Results A highly significant region, t-value=-5.5, was found where dose correlated with reactive FTi (Figure 1). This region included most functional subunits and salivary glands, with overlaps up to 96% (Table 1). Interestingly, 8% of the brainstem was also included in the region of interest. RFCs selected mean dose to the floor of the mouth, intrinsic tongue muscle (ITM), brainstem, and max/mean dose to the genioglossus (GGS) muscle. Following backward selection, sex, age, chemotherapy (yes/no), weight before treatment, mean ITM, mean GGS and mean brainstem doses remained (Table 2). The area under the curve for the final model was 0.73, compared to 0.69 for a model with the selected clinical variables only. Conclusion This is the first study to identify regions where dose relates to reactive FTi using IBDM. Our final model includes both functional subunits involved in tongue motion and the brainstem. The results suggest the development of swallowing dysfunction and malnutrition during treatment may be due to a complex combination of the effects from radiotherapy on local muscular and distant neurophysiological function. Future research will investigate this relationship.en
dc.titleReactive feeding tube insertion relates to dose to tongue subunits and brainstemen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentThe University of Manchester, Division of Cancer Sciences, Manchester, United Kingdomen
dc.identifier.journalRadiotherapy and Oncologyen
dc.description.noteen]


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