Research output per year
Research output per year
Azadeh Abravan, Corinne Faivre-Finn, Jason Kennedy, Alan McWilliam, Marcel van Herk
Research output: Contribution to journal › Article › peer-review
Lymphopenia following radiotherapy has an adverse effect on patient's outcome. However, the relationship between radiotherapy dose delivery and lymphopenia is not fully understood. This work is utilizing image-based data mining to identify anatomical regions where the received dose is correlated with severe lymphopenia.
Methods901 lung cancer patients were analyzed. A Cox model was used to assess prognostic factors of overall survival (OS). Two matched groups were defined-patients with and without lymphopenia≥G3-based on tumor volume, baseline lymphocytes, and delivered dose. Then, data mining was used to identify regions where dose correlates significantly with lymphopenia≥G3. For this, dose matrices were aligned using registration of the computed tomography (CT) images to one reference patient. Mean dose distributions were obtained for the two groups and organs of significance were detected. Dosimetric parameters from the identified organs that had the highest correlation with lymphocytes at nadir were selected. Multivariable analysis was conducted for lymphopenia≥G3 on the full lung cohort and the model was tested on 305 esophageal cancer patients.
ResultsAdjusted Cox regression showed that lymphopenia≥G3 was an independent factor of OS. The anatomical regions identified were heart, lung, and thoracic vertebrae. Dosimetric parameters for lymphopenia included vertebrae V20, mean lung dose and, mean heart dose which was further validated in the esophageal cancer cohort.
ConclusionsWe have shown severe lymphopenia during radiotherapy is a significant poor prognostic factor for OS in lung cancer patients and could be mitigated by minimizing vertebrae V20, mean lung and heart dose to limit irradiation of stem cells and blood pool.
Original language | English |
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Journal | Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer |
Early online date | 14 Jun 2020 |
DOIs | |
Publication status | E-pub ahead of print - 14 Jun 2020 |
Research output: Contribution to journal › Meeting Abstract › peer-review