Literature DB >> 16005575

Serial megavoltage CT imaging during external beam radiotherapy for non-small-cell lung cancer: observations on tumor regression during treatment.

Patrick A Kupelian1, Chester Ramsey, Sanford L Meeks, Twyla R Willoughby, Alan Forbes, Thomas H Wagner, Katja M Langen.   

Abstract

PURPOSE: The ability to obtain soft-tissue imaging in the treatment room, such as with megavoltage CT imaging, enables the observation of tumor regression during a course of external beam radiation therapy. In this current study, we report on the most extensive study looking at the rate of regression of non-small-cell lung cancers during a course of external beam radiotherapy by analyzing serial megavoltage CT images obtained on 10 patients. METHODS AND MATERIALS: The analysis is performed on 10 patients treated with the Helical Tomotherapy Hi*Art device. All 10 patients had non-small-cell lung cancer. A total of 274 megavoltage CT sets were obtained on the 10 patients (average, 27 scans per patient; range, 9-35). All patients had at least a scan at beginning and at the end of treatment. The frequency of scanning was determined by the treating physician. The treatment was subsequently delivered with the Tomotherapy Hi*Art system. The gross tumor volumes (GTVs) were later contoured on each megavoltage CT scan, and tumor volumes were calculated. Although some patients were treated to draining nodal areas in addition to the primary tumor, only the primary GTVs were tracked. Response to treatment was quantified by the relative decrease in tumor volume over time, i.e., elapsed days from the first day of therapy. The individual GTVs ranged from 5.9 to 737.2 cc in volume at the start of treatment. In 6 of the 10 patients, dose recalculations were also performed to document potential variations in delivered doses within the tumors. The megavoltage CT scans were used, and the planned treatment was recalculated on the daily images. The hypothesis was that dose deposited in the target would increase throughout the course of radiotherapy because of tumor shrinkage and subsequent decreasing attenuation. Specifically, the dose received by 95% of the GTV (D95) was monitored over time for each of the 6 patients treated at M. D. Anderson Cancer Center Orlando.
RESULTS: Regression of all 10 lung tumors could be observed on the serial megavoltage CT scans. The decrease in volume was observed at a relatively constant rate throughout the treatments, with no obvious initial or final plateaus. For all 10 tumors, the average decrease in volume was 1.2% per day. However, individual tumor regression rates were observed with a range of 0.6% to 2.3% per day. The lowest rate of shrinkage was observed for the smallest lesion, and the highest rate was observed in the largest lesion. Of the 6 cases in which dose recalculations were performed, 5 demonstrated a small but noticeable gradual increase in deposited doses within the tumor, with the D95 increases ranging from 0.02% to 0.1% per day.
CONCLUSION: With the advent of in-room soft-tissue imaging techniques such as megavoltage CT imaging with a helical tomotherapy unit, daily documentation of the status of a grossly visible targeted tumor becomes possible. The current study demonstrated that tumor regression can be documented for patients with non-small-cell lung cancer treated with helical tomotherapy. Clinical correlations between the observations made during the course of treatment and ultimate outcomes, e.g. local control, should be investigated.

Entities:  

Mesh:

Year:  2005        PMID: 16005575     DOI: 10.1016/j.ijrobp.2005.04.046

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


  39 in total

1.  Localization accuracy of the clinical target volume during image-guided radiotherapy of lung cancer.

Authors:  Geoffrey D Hugo; Elisabeth Weiss; Ahmed Badawi; Matthew Orton
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-27       Impact factor: 7.038

2.  Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy.

Authors:  Scott P Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

Review 3.  Accurate accumulation of dose for improved understanding of radiation effects in normal tissue.

Authors:  David A Jaffray; Patricia E Lindsay; Kristy K Brock; Joseph O Deasy; W A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

4.  Should patient setup in lung cancer be based on the primary tumor? An analysis of tumor coverage and normal tissue dose using repeated positron emission tomography/computed tomography imaging.

Authors:  Wouter van Elmpt; Michel Öllers; Philippe Lambin; Dirk De Ruysscher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

Review 5.  The radiation techniques of tomotherapy & intensity-modulated radiation therapy applied to lung cancer.

Authors:  Zhengfei Zhu; Xiaolong Fu
Journal:  Transl Lung Cancer Res       Date:  2015-06

Review 6.  Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization.

Authors:  Michael MacManus; Sarah Everitt; Tanja Schimek-Jasch; X Allen Li; Ursula Nestle; Feng-Ming Spring Kong
Journal:  Transl Lung Cancer Res       Date:  2017-12

7.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Dose-guided radiotherapy for lung tumors.

Authors:  Angelo Piermattei; Andrea Fidanzio; Savino Cilla; Francesca Greco; Luigi Azario; Domenico Sabatino; Mattia Grusio; Mariella Cozzolino; Vincenzo Fusco
Journal:  Med Biol Eng Comput       Date:  2009-12-10       Impact factor: 2.602

9.  Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC).

Authors:  Matthias Guckenberger; Kurt Baier; Anne Richter; Juergen Wilbert; Michael Flentje
Journal:  Radiat Oncol       Date:  2009-12-21       Impact factor: 3.481

10.  Adaptive radiation for lung cancer.

Authors:  Daniel R Gomez; Joe Y Chang
Journal:  J Oncol       Date:  2010-08-04       Impact factor: 4.375

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