1 |
Radiotherapy for Liver Metastases: A Review of Evidence  |
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2 |
An international survey on liver metastases radiotherapy  |
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3 |
Current treatment for liver metastases from colorectal cancer  |
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4 |
Gasent Blesa JM, Dawson LA: Options for radiotherapy in the treatment of liver metastases. Clin Transl Oncol 10:638-645 (2008) |
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5 |
Parlak C, Topkan E, Sonmez S, Onal C, Reyhan M: CTversus coregistered FDG-PET/CT-based radiation therapy plans for conformal radiotherapy ib colorectal liver metastases: a dosimetric comparison. Jpn J Radiol 30(8):628-634 (2012) |
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6 |
Zaidi H, Vees H, Wissmeyer M: Molecular PET/CT imaging- guided radiation therapy treatment planning. Acad Radiol 16(9):L1108-1133 (2009) |
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7 |
18F-FDG PET/CT-based gross tumor volume definition for radiotherapy in head and neck Cancer: a correlation study between suitable uptake value threshold and tumor parameters  |
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8 |
Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: A comparison with threshold-based approaches, CT and surgical specimens  |
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9 |
Chua SC, Groves AM, Kayani I, et al: The impact of 18FFDG PET/CT in patients with liver metastases. Eur J Nucl Med Mol Imaging 34:1906-1914 (2007) |
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10 |
Colorectal liver metastases: CT, MR imaging, and PET for diagnosis--meta-analysis.  |
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11 |
Detection of hepatic metastases from cancers of the gastrointestinal tract by using noninvasive imaging methods (US, CT, MR imaging, PET): a meta-analysis.  |
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12 |
Grégoire V, Haustermans K, Geets X, Roels S, Lonneux M: PET-based treatment planning in radiotherapy: A new standard? J Nucl Med 48(1):68S-77S (2007) |
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13 |
Lee JA: Segmentation of positron emission tomography image: some recommendations for target delineation in radiation oncology. Radiother Oncol 96(3):302-307 (2010) |
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14 |
PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques  |
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15 |
Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation.  |
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16 |
Assessment of various strategies forF-FET PET-guided delineation of target volumes in high-grade glioma patients  |
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17 |
Correlation of PET standard uptake value and CT window-level thresholds for target delineation in CT-based radiation treatment planning  |
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18 |
Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.  |
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19 |
The current status of FDG–PET in tumour volume definition in radiotherapy treatment planning  |
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20 |
Geets X, Lee JA, Lonneux M, Grégoire V: A gradientbased method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imageing 34(9):1427-1438 (2007) |
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21 |
Comparison of CT- and FDG-PET-defined gross tumor volume in intensity-modulated radiotherapy for head-and-neck cancer  |
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22 |
Bassi MC, Turri L, Sacchetti G, et al: FDG-PET/CT imaging for staging and target volume delineation in preoperative conformal radiotherapy of rectal cancer. Int J Radiat Oncol Biol Phys 70(5):1423-1426 (2008) |
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23 |
A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients.  |
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24 |
Graves EE, Quon A, Loo BW Jr: RT_Image: an opensource tool for investigating PET in radiation oncology. Technol Cancer Res Treat 6(2):111-121 (2007) |
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25 |
Gonzalez RC, Woods RE: 디지털 영상처리 3판, 유현중 등:피어슨에듀케이션코리아, 서울(2009), pp 839-900 |
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26 |
How to Standardize Regression Coefficients  |
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27 |
Imaging of liver cancer  |
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28 |
Biehl KJ, Kong FM, Dehdashti F, et al: 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate? J Nucl Med 47(11):1808-1812 (2006) |
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29 |
Basu S, Kwee TC, Gatenby R, Saboury B, Torigian DA, Alavi A: Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders. Eur J Nucl Med Mol Imaging 38:987-991 (2011) |
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30 |
Ling CC, Humm J, Larson S, et al: Towards multiidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. Int J Radiat Oncol Bio Phys 47(3):551-560 (2000) |
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31 |
Daisne JF, Sibomana M, Bol A, Doumont T, Lonneux M, Grégoire V: Tri-dimensional autometic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. Radiother Oncol 69(3):247-250 (2003) |
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32 |
Threshold segmentation for PET target volume delineation in radiation treatment planning: the role of target-to-background ratio and target size.  |
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