Exploring baseline shift prediction in respiration induced tumor motion

Arvind Balasubramanian, Rittika Shamsuddin, Yam Cheung, Amit Sawant, Balakrishnan Prabhakaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Effective management of respiratory motion is essential for achieving the clinical goals of stereo tactic thoracic and abdominal radiotherapy, where highly potent radiation beams are precisely directed in order to ablate the tumor, while minimizing radiation damage to normal tissue and critical organs. Due to cycle-to-cycle variations in respiratory motion, it is important to be able to predict imminent anomalous or irregular tumor motion ahead of its occurrence. Such information can then be used to pause the radiation delivery, or to track the moving tumor. However, predicting tumor motion anomalies presents a challenge as the occurrence of these anomalies can vary from patient to patient and from day to day for the same patient. In this paper, we explore the use of observed data in predicting baseline trends, and baseline shifts, in particular. Using a tumor motion dataset obtained from 143 treatment fractions from 42 patients treated with Cyber knife Synchrony System, we execute multifaceted analyses, including offline and online scenarios. Given the variation in tumor motion patterns and the absence of standardized baselines and adequate personalized prior data, we compare performances of standard prediction algorithms with and without training on prior data. Our analyses yield promising results for baseline shift prediction, and real-time baseline trend estimation in general.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-160
Number of pages6
ISBN (Print)9781479957019
DOIs
Publication statusPublished - Mar 2 2014
Event2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014 - Verona, Italy
Duration: Sep 15 2014Sep 17 2014

Other

Other2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014
CountryItaly
CityVerona
Period9/15/149/17/14

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Keywords

  • baseline shift
  • data mining
  • prediction
  • radiation therapy
  • tumor motion

ASJC Scopus subject areas

  • Health Informatics

Cite this

Balasubramanian, A., Shamsuddin, R., Cheung, Y., Sawant, A., & Prabhakaran, B. (2014). Exploring baseline shift prediction in respiration induced tumor motion. In Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014 (pp. 155-160). [7052483] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2014.28