Literature DB >> 21664070

Comparison of IGRT registration strategies for optimal coverage of primary lung tumors and involved nodes based on multiple four-dimensional CT scans obtained throughout the radiotherapy course.

Nasiruddin Mohammed1, Larry Kestin, Inga Grills, Chirag Shah, Carri Glide-Hurst, Di Yan, Dan Ionascu.   

Abstract

PURPOSE: To investigate the impact of primary tumor and involved lymph node (LN) geometry (centroid, shape, volume) on internal target volume (ITV) throughout treatment for locally advanced non-small cell lung cancer using weekly four-dimensional computed tomography (4DCT). METHODS AND MATERIALS: Eleven patients with advanced non-small cell lung cancer were treated using image-guided radiotherapy with acquisition of weekly 10-Phase 4DCTs (n = 51). Initial ITV was based on planning 4DCT. Master-ITV incorporated target geometry across the entire treatment (all 4DCTs). Geographic miss was defined as the % Master-ITV positioned outside of the initial planning ITV after registration is complete. Registration strategies considered were bony (B), primary tumor soft tissue alone (T), and registration based on primary tumor and involved LNs (T_LN).
RESULTS: The % geographic miss for the primary tumor, mediastinal, and hilar lymph nodes based on each registration strategy were (1) B: 30%, 30%, 30%; (2) T: 21%, 40%, 36%; and (3) T_LN: 26%, 26%, 27%. Mean geographic expansions to encompass 100% of the primary tumor and involved LNs were 1.2 ± 0.7 cm and 0.8 ± 0.3 cm, respectively, for B and T_LN. Primary and involved LN expansions were 0.7 ± 0.5 cm and 1.1 ± 0.5 cm for T.
CONCLUSION: T is best for solitary targets. When treatments include primary tumor and LNs, B and T_LN provide more comprehensive geographic coverage. We have identified high % geographic miss when considering multiple registration strategies. The dosimetric implications are the subject of future study. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21664070     DOI: 10.1016/j.ijrobp.2011.04.025

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


  7 in total

1.  Deformable mesh registration for the validation of automatic target localization algorithms.

Authors:  Scott Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

2.  Motion-specific internal target volumes for FDG-avid mediastinal and hilar lymph nodes.

Authors:  James M Lamb; Clifford G Robinson; Jeffrey D Bradley; Daniel A Low
Journal:  Radiother Oncol       Date:  2013-09-14       Impact factor: 6.280

3.  Interfraction displacement of primary tumor and involved lymph nodes relative to anatomic landmarks in image guided radiation therapy of locally advanced lung cancer.

Authors:  Nuzhat Jan; Salim Balik; Geoffrey D Hugo; Nitai Mukhopadhyay; Elisabeth Weiss
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-11-13       Impact factor: 7.038

4.  A block matching-based registration algorithm for localization of locally advanced lung tumors.

Authors:  Scott P Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

5.  Respiratory motion variability of primary tumors and lymph nodes during radiotherapy of locally advanced non-small-cell lung cancers.

Authors:  Nuzhat Jan; Geoffrey D Hugo; Nitai Mukhopadhyay; Elisabeth Weiss
Journal:  Radiat Oncol       Date:  2015-06-14       Impact factor: 3.481

6.  Comparison of measurement methods with a mixed effects procedure accounting for replicated evaluations (COM3PARE): method comparison algorithm implementation for head and neck IGRT positional verification.

Authors:  Anuradha Roy; Clifton D Fuller; David I Rosenthal; Charles R Thomas
Journal:  BMC Med Imaging       Date:  2015-08-28       Impact factor: 1.930

7.  Three-dimensional conformal intensity-modulated radiation therapy of left femur foci does not damage the sciatic nerve.

Authors:  Wanlong Xu; Xibin Zhao; Qing Wang; Jungang Sun; Jiangbo Xu; Wenzheng Zhou; Hao Wang; Shigui Yan; Hong Yuan
Journal:  Neural Regen Res       Date:  2014-10-15       Impact factor: 5.135

  7 in total

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