The Non-Gaussian Nature of Prostate Motion Based on Real-Time Intrafraction Tracking

被引:0
|
作者
Lin, Y. [1 ]
Liu, T. [2 ]
Yang, W. [3 ]
Yang, X. [2 ]
Khan, M. K. [2 ]
机构
[1] Univ Calif Irvine, Dept Radiol Sci, Tu & Yuen Ctr Funct Oncoimaging, Irvine, CA 92717 USA
[2] Emory Univ Hosp, Winship Canc Inst, Dept Radiat Oncol, Atlanta, GA 30322 USA
[3] Georgia Inst Technol, Dept Biomed Engn, Atlanta, GA 30332 USA
关键词
Urology - Diseases - Gaussian noise (electronic) - Gaussian distribution - Correlation methods - Normal distribution;
D O I
10.1016/j.ijrobp.2013.06.950
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: The objective of this work is to test the validity of the Gaussian approximation for prostate motion through characterization of its spatial distribution. Methods and Materials: Real-time intrafraction prostate motion was observed using Calypso 4-dimensional (4D) nonradioactive electromagnetic tracking system. We report the results from a total of 1024 fractions from 31 prostate cancer patients. First, the correlation of prostate motion in right/left (RL), anteroposterior (AP), and superoinferior (SI) direction were determined using Pearson's correlation of coefficient. Then the spatial distribution of prostate motion was analyzed for individual fraction, individual patient including all fractions, and all patients including all fractions. The displacement in RL, AP, SI, oblique, or total direction is fitted into a Gaussian distribution, and a Lilliefors test was used to evaluate the validity of the hypothesis that the displacement is normally distributed. Results: There is high correlation in AP/SI direction (61% of fractions with medium or strong correlation). This is consistent with the longitudinal oblique motion of the prostate, and likely the effect from respiration on an organ confined within the genitourinary diaphragm with the rectum sitting posteriorly and bladder sitting superiorly. In all directions, the non-Gaussian distribution is more common for individual fraction, individual patient including all fractions, and all patients including all fractions. The spatial distribution of prostate motion shows an elongated shape in oblique direction, indicating a higher range of motion in the AP and SI directions. Conclusions: Our results showed that the prostate motion is highly correlated in AP and SI direction, indicating an oblique motion preference. In addition, the spatial distribution of prostate motion is elongated in an oblique direction, indicating that the organ motion dosimetric modeling using Gaussian kernel may need to be modified to account for the particular organ motion character of prostate. (C) 2013 Elsevier Inc.
引用
收藏
页码:S361 / S362
页数:2
相关论文
共 50 条
  • [1] Non-Gaussian nature of prostatic motion using real-time tracking and its impact on treatment margins
    Khan, M. K.
    Mahadevan, A.
    Chen, Q.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 72 (01): : S336 - S337
  • [2] Real-time intrafraction prostate motion during linac based stereotactic radiotherapy with rectal displacement
    Legge, Kimberley
    Doan Nguyen
    Ng, Jin Aun
    Wilton, Lee
    Richardson, Matthew
    Booth, Jeremy
    Keall, Paul
    O'Connor, Darryl J.
    Greer, Peter
    Martin, Jarad
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2017, 18 (06): : 130 - 136
  • [3] USE OF IMPLANTED MARKERS AND INTERPORTAL ADJUSTMENT WITH REAL-TIME TRACKING RADIOTHERAPY SYSTEM TO REDUCE INTRAFRACTION PROSTATE MOTION
    Shimizu, Shinichi
    Osaka, Yasuhiro
    Shinohara, Nobuo
    Sazawa, Ataru
    Nishioka, Kentaro
    Suzuki, Ryusuke
    Onimaru, Rikiya
    Shirato, Hiroki
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2011, 81 (04): : E393 - E399
  • [4] Towards Real-Time Non-Gaussian SLAM for Underdetermined Navigation
    Fourie, Dehann
    Rypkema, Nicholas R.
    Teixeira, Pedro Vaz
    Claassens, Sam
    Fischell, Erin
    Leonard, John
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 4438 - 4445
  • [5] Real-time intrafraction prostate motion during dose-escalated linac-based SBRT
    Panizza, D.
    Trivellato, S.
    Montanari, G.
    Pisoni, V.
    Faccenda, V.
    Caricato, P.
    Daniotti, M. C.
    Lucchini, R.
    De Ponti, E.
    Arcangeli, S.
    RADIOTHERAPY AND ONCOLOGY, 2021, 161 : S690 - S691
  • [6] Management of three-dimensional intrafraction motion through real-time DMLC tracking
    Sawant, Amit
    Venkat, Raghu
    Srivastava, Vikram
    Carlson, David
    Povzner, Sergey
    Cattell, Herb
    Keall, Paul
    MEDICAL PHYSICS, 2008, 35 (05) : 2050 - 2061
  • [7] Predictability of Patient Specific Prostate Margins From Real-Time Intrafraction Motion Measurements
    Litzenberg, D.
    Balter, J.
    Levine, L.
    Hadley, S.
    MEDICAL PHYSICS, 2008, 35 (06)
  • [8] GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM
    Huang, Qiangqiang
    Leonard, John J.
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2023, : 9183 - 9190
  • [9] Real-time evolution of non-Gaussian cumulants in the QCD critical regime
    Mukherjee, Swagato
    Venugopalan, Raju
    Yin, Yi
    PHYSICAL REVIEW C, 2015, 92 (03):
  • [10] Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing
    Wischnewski, Alexander
    Betz, Johannes
    Lohmann, Boris
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 609 - 615