2007 Fiscal Year Final Research Report Summary
Stereotactic radiotherapy for lung cancer ; evaluation of tumor viability
| Project/Area Number |
16591209
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Radiation science
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
SAKAI Shuji Kyushu University, Faculty of Medicine, Associate professor (90225756)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SHIOYAMA Yoshiyuki Kyushu University, University Hospital, Assistant Professor (10323304)
MATSUO Yoshio Kyushu University, University Hospital, Assistant professor (50419595)
HONDA Hiroshi Kyushu University, Faculty of Medicine, professor (90145433)
ABE Koishiro Kyushu University, University Hospital, Assistant Professor (00380387)
NAKAMURA Kazumasa Kyushu University, University Hospital, Assistant Professor (20284507)
|
|---|
| Project Period (FY) |
2004 – 2007
|
| Keywords | Lung Cancer / Stereotactic Radiotherapy / Computed Tomography / Magnetic Resonance Imaging / FDG-PET / Prognosis |
|---|
| Research Abstract |
Finally, 32 patients with primary lung cancer and 13 patients with metastatic lung cancer were submitted to present study. Stereotactic radiotherapy was performed by using linac device which was equipped respiratory gated system. And, we used the stereotactic body frame to suppress the chest and abdominal wall mothion. Stereotactic radiotherapy method in Kyushu University Hospital conformed to clinical trial study of Japan Clinical Oncology Group (JCOG) and maintained the quality control and assurance. On almost patients, the air-space consolidations according to a radiation field with peripheral ground grass attenuation were seen as HRCT findings. These findings appeared at three or six months after from beginning of stereotactic radiotherapy. And, the greater part of these opacities had vanished a few months later.
During the research period, we focused on several classes of graph-structured patterns which represent structural features common to graph-structured data in real-world databases. The followings are main results of this research.
|
