| Title |
Challenges and opportunities in patient‐specific, motion‐managed and PET/CT‐guided radiation therapy of lung cancer: review and perspective
|
|---|---|
| Published in |
Clinical and Translational Medicine, August 2012
|
| DOI | 10.1186/2001-1326-1-18 |
| Pubmed ID | |
| Authors |
Stephen R Bowen, Matthew J Nyflot, Michael Gensheimer, Kristi R G Hendrickson, Paul E Kinahan, George A Sandison, Shilpen A Patel |
| Abstract |
The increasing interest in combined positron emission tomography (PET) and computed tomography (CT) to guide lung cancer radiation therapy planning has been well documented. Motion management strategies during treatment simulation PET/CT imaging and treatment delivery have been proposed to improve the precision and accuracy of radiotherapy. In light of these research advances, why has translation of motion-managed PET/CT to clinical radiotherapy been slow and infrequent? Solutions to this problem are as complex as they are numerous, driven by large inter-patient variability in tumor motion trajectories across a highly heterogeneous population. Such variation dictates a comprehensive and patient-specific incorporation of motion management strategies into PET/CT-guided radiotherapy rather than a one-size-fits-all tactic. This review summarizes challenges and opportunities for clinical translation of advances in PET/CT-guided radiotherapy, as well as in respiratory motion-managed radiotherapy of lung cancer. These two concepts are then integrated into proposed patient-specific workflows that span classification schemes, PET/CT image formation, treatment planning, and adaptive image-guided radiotherapy delivery techniques. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Physics and Astronomy | 8 | 20% |
| Engineering | 8 | 20% |
| Computer Science | 3 | 8% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2013.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Clinical and Translational Medicine
#851
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Outputs of similar age
#169,504
of 187,866 outputs
Outputs of similar age from Clinical and Translational Medicine
#5
of 7 outputs
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