Literature DB >> 10524412

Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation.

J Hanley1, M M Debois, D Mah, G S Mageras, A Raben, K Rosenzweig, B Mychalczak, L H Schwartz, P J Gloeggler, W Lutz, C C Ling, S A Leibel, Z Fuks, G J Kutcher.   

Abstract

PURPOSE/
OBJECTIVE: This study evaluates the dosimetric benefits and feasibility of a deep inspiration breath-hold (DIBH) technique in the treatment of lung tumors. The technique has two distinct features--deep inspiration, which reduces lung density, and breath-hold, which immobilizes lung tumors, thereby allowing for reduced margins. Both of these properties can potentially reduce the amount of normal lung tissue in the high-dose region, thus reducing morbidity and improving the possibility of dose escalation. METHODS AND MATERIALS: Five patients treated for non-small cell lung carcinoma (Stage IIA-IIIB) received computed tomography (CT) scans under 4 respiration conditions: free-breathing, DIBH, shallow inspiration breath-hold, and shallow expiration breath-hold. The free-breathing and DIBH scans were used to generate 3-dimensional conformal treatment plans for comparison, while the shallow inspiration and expiration scans determined the extent of tumor motion under free-breathing conditions. To acquire the breath-hold scans, the patients are brought to reproducible respiration levels using spirometry, and for DIBH, modified slow vital capacity maneuvers. Planning target volumes (PTVs) for free-breathing plans included a margin for setup error (0.75 cm) plus a margin equal to the extent of tumor motion due to respiration (1-2 cm). Planning target volumes for DIBH plans included the same margin for setup error, with a reduced margin for residual uncertainty in tumor position (0.2-0.5 cm) as determined from repeat fluoroscopic movies. To simulate the effects of respiration-gated treatments and estimate the role of target immobilization alone (i.e., without the benefit of reduced lung density), a third plan is generated from the free-breathing scan using a PTV with the same margins as for DIBH plans.
RESULTS: The treatment plan comparison suggests that, on average, the DIBH technique can reduce the volume of lung receiving more than 25 Gy by 30% compared to free-breathing plans, while respiration gating can reduce the volume by 18%. The DIBH maneuver was found to be highly reproducible, with intra breath-hold reproducibility of 1.0 (+/- 0.9) mm and inter breath-hold reproducibility of 2.5 (+/- 1.6) mm, as determined from diaphragm position. Patients were able to perform 10-13 breath-holds in one session, with a comfortable breath-hold duration of 12-16 s.
CONCLUSION: Patients tolerate DIBH maneuvers well and can perform them in a highly reproducible fashion. Compared to conventional free-breathing treatment, the DIBH technique benefits from reduced margins, as a result of the suppressed target motion, as well as a decreased lung density; both contribute to moving normal lung tissue out of the high-dose region. Because less normal lung tissue is irradiated to high dose, the possibility for dose escalation is significantly improved.

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Year:  1999        PMID: 10524412     DOI: 10.1016/s0360-3016(99)00154-6

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  95 in total

1.  A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.

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Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

2.  Practical approaches to four-dimensional heavy-charged-particle lung therapy.

Authors:  Shinichiro Mori; Ziji Wu; Michael R Folkert; Motoki Kumagai; Suguru Dobashi; Toshio Sugane; Masayuki Baba
Journal:  Radiol Phys Technol       Date:  2009-10-14

3.  High-quality t2-weighted 4-dimensional magnetic resonance imaging for radiation therapy applications.

Authors:  Dongsu Du; Shelton D Caruthers; Carri Glide-Hurst; Daniel A Low; H Harold Li; Sasa Mutic; Yanle Hu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-03-30       Impact factor: 7.038

4.  Static versus prospective gated non-breath hold volumetric MDCT imaging of the lungs.

Authors:  Osama I Saba; Deokiee Chon; Kenneth Beck; Geoffrey McLennan; Jered Sieren; Joseph Reinhardt; Eric A Hoffman
Journal:  Acad Radiol       Date:  2005-11       Impact factor: 3.173

5.  Breathing-synchronized delivery: a potential four-dimensional tomotherapy treatment technique.

Authors:  Tiezhi Zhang; Weiguo Lu; Gustavo H Olivera; Harry Keller; Robert Jeraj; Rafael Manon; Minesh Mehta; Thomas R Mackie; Bhudatt Paliwal
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-06-14       Impact factor: 7.038

6.  Breath-hold monitoring and visual feedback for radiotherapy using a charge-coupled device camera and a head-mounted display: system development and feasibility.

Authors:  Tadamasa Yoshitake; Katsumasa Nakamura; Yoshiyuki Shioyama; Satoshi Nomoto; Saiji Ohga; Takashi Toba; Takehiro Shiinoki; Shigeo Anai; Hiromi Terashima; Junji Kishimoto; Hiroshi Honda
Journal:  Radiat Med       Date:  2008-01-31

7.  Dosimetric comparison of free-breathing and deep inspiration breath-hold radiotherapy for lung cancer.

Authors:  V Marchand; S Zefkili; J Desrousseaux; L Simon; C Dauphinot; P Giraud
Journal:  Strahlenther Onkol       Date:  2012-05-17       Impact factor: 3.621

8.  A mass-conserving 4D XCAT phantom for dose calculation and accumulation.

Authors:  Christopher L Williams; Pankaj Mishra; Joao Seco; Sara St James; Raymond H Mak; Ross I Berbeco; John H Lewis
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

9.  Lung tumor tracking in fluoroscopic video based on optical flow.

Authors:  Qianyi Xu; Russell J Hamilton; Robert A Schowengerdt; Brian Alexander; Steve B Jiang
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  Dynamic MR based analysis of tumor movement in upper and mid lobe localized lung cancer.

Authors:  A Kovacs; J Hadjiev; F Lakosi; G Antal; C Vandulek; E Somogyine Ezer; P Bogner; A Horvath; I Repa
Journal:  Pathol Oncol Res       Date:  2008-09-24       Impact factor: 3.201

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