Literature DB >> 18472367

Maximum-intensity volumes for fast contouring of lung tumors including respiratory motion in 4DCT planning.

Eike Rietzel1, Arthur K Liu, George T Y Chen, Noah C Choi.   

Abstract

PURPOSE: To assess the accuracy of maximum-intensity volumes (MIV) for fast contouring of lung tumors including respiratory motion. METHODS AND MATERIALS: Four-dimensional computed tomography (4DCT) data of 10 patients were acquired. Maximum-intensity volumes were constructed by assigning the maximum Hounsfield unit in all CT volumes per geometric voxel to a new, synthetic volume. Gross tumor volumes (GTVs) were contoured on all CT volumes, and their union was constructed. The GTV with all its respiratory motion was contoured on the MIV as well. Union GTVs and GTVs including motion were compared visually. Furthermore, planning target volumes (PTVs) were constructed for the union of GTVs and the GTV on MIV. These PTVs were compared by centroid position, volume, geometric extent, and surface distance.
RESULTS: Visual comparison of GTVs demonstrated failure of the MIV technique for 5 of 10 patients. For adequate GTV(MIV)s, differences between PTVs were <1.0 mm in centroid position, 5% in volume, +/-5 mm in geometric extent, and +/-0.5 +/- 2.0 mm in surface distance. These values represent the uncertainties for successful MIV contouring.
CONCLUSION: Maximum-intensity volumes are a good first estimate for target volume definition including respiratory motion. However, it seems mandatory to validate each individual MIV by overlaying it on a movie loop displaying the 4DCT data and editing it for possible inadequate coverage of GTVs on additional 4DCT motion states.

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Year:  2008        PMID: 18472367     DOI: 10.1016/j.ijrobp.2008.03.030

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


  13 in total

1.  Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning.

Authors:  David A Zamora; Adam C Riegel; Xiaojun Sun; Peter Balter; George Starkschall; Osama Mawlawi; Tinsu Pan
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

2.  Use of combined maximum and minimum intensity projections to determine internal target volume in 4-dimensional CT scans for hepatic malignancies.

Authors:  Jin Liu; Jia-Zhou Wang; Jian-Dong Zhao; Zhi-Yong Xu; Guo-Liang Jiang
Journal:  Radiat Oncol       Date:  2012-01-30       Impact factor: 3.481

Review 3.  Intensity-Modulated Radiotherapy versus 3-Dimensional Conformal Radiotherapy Strategies for Locally Advanced Non-Small-Cell Lung Cancer.

Authors:  Uğur Selek; Yasemin Bölükbaşı; James W Welsh; Erkan Topkan
Journal:  Balkan Med J       Date:  2014-09-13       Impact factor: 2.021

4.  Motion management strategies and technical issues associated with stereotactic body radiotherapy of thoracic and upper abdominal tumors: A review from NRG oncology.

Authors:  Edward D Brandner; Indrin J Chetty; Tawfik G Giaddui; Ying Xiao; M Saiful Huq
Journal:  Med Phys       Date:  2017-04-20       Impact factor: 4.071

5.  Target definition of moving lung tumors in positron emission tomography: correlation of optimal activity concentration thresholds with object size, motion extent, and source-to-background ratio.

Authors:  Adam C Riegel; M Kara Bucci; Osama R Mawlawi; Valen Johnson; Moiz Ahmad; Xiaojun Sun; Dershan Luo; Adam G Chandler; Tinsu Pan
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

Review 6.  Advances in radiotherapy techniques and delivery for non-small cell lung cancer: benefits of intensity-modulated radiation therapy, proton therapy, and stereotactic body radiation therapy.

Authors:  Tejan P Diwanji; Pranshu Mohindra; Melissa Vyfhuis; James W Snider; Chaitanya Kalavagunta; Sina Mossahebi; Jen Yu; Steven Feigenberg; Shahed N Badiyan
Journal:  Transl Lung Cancer Res       Date:  2017-04

7.  Inferring positions of tumor and nodes in Stage III lung cancer from multiple anatomical surrogates using four-dimensional computed tomography.

Authors:  Kathleen T Malinowski; Jason R Pantarotto; Suresh Senan; Thomas J McAvoy; Warren D D'Souza
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-03       Impact factor: 7.038

8.  Dose calculation with respiration-averaged CT processed from cine CT without a respiratory surrogate.

Authors:  Adam C Riegel; Moiz Ahmad; Xiaojun Sun; Tinsu Pan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

9.  Determination of patient-specific internal gross tumor volumes for lung cancer using four-dimensional computed tomography.

Authors:  Muthuveni Ezhil; Sastry Vedam; Peter Balter; Bum Choi; Dragan Mirkovic; George Starkschall; Joe Y Chang
Journal:  Radiat Oncol       Date:  2009-01-27       Impact factor: 3.481

Review 10.  Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer.

Authors:  Jason K Molitoris; Tejan Diwanji; James W Snider; Sina Mossahebi; Santanu Samanta; Shahed N Badiyan; Charles B Simone; Pranshu Mohindra
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

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