|
1
|
Parkin DM, Bray F, Ferlay J and Pisani P:
Global cancer statistics, 2002. CA Cancer J Clin. 55:74–108. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
van Meerbeeck JP, Fennell DA and De
Ruysscher DK: Small-cell lung cancer. Lancet. 378:1741–1755. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Johnson BE and Jänne PA: Basic treatment
considerations using chemotherapy for patients with small cell lung
cancer. Hematol Oncol Clin North Am. 18:309–322. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Simon M, Argiris A and Murren JR: Progress
in the therapy of small cell lung cancer. Crit Rev Oncol Hematol.
49:119–133. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Ono A, Naito T, Ito I, Watanabe R, Shukuya
T, Kenmotsu H, Tsuya A, Nakamura Y, Murakami H, Kaira K, et al:
Correlations between serial pro-gastrin-releasing peptide and
neuron-specific enolase levels and the radiological response to
treatment and survival of patients with small-cell lung cancer.
Lung cancer. 76:439–444. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Fischer BM, Mortensen J, Langer SW, Loft
A, Berthelsen AK, Petersen BI, Daugaard G, Lassen U and Hansen HH:
A prospective study of PET/CT in initial staging of small-cell lung
cancer: Comparison with CT, bone scintigraphy and bone marrow
analysis. Ann Oncol. 18:338–345. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Choi MY, Lee KM, Chung JK, Lee DS, Jeong
JM, Park JG, Kim JH and Lee MC: Correlation between serum CEA level
and metabolic volume as determined by FDG PET in postoperative
patients with recurrent colorectal cancer. Ann Nucl Med.
19:123–129. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Simon GR and Wagner H: American College of
Chest Physicians: Small cell lung cancer. Chest. 123(Suppl 1):
259S–271S. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
World Medical Association: World Medical
Association Declaration of Helsinki: Ethical principles for medical
research involving human subjects. JAMA. 310:2191–2194. 2013.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Johnson CR, Khandelwal SR, Schmidt-Ullrich
RK, Ravalese J III and Wazer DE: The influence of quantitative
tumor volume measurements on local control in advanced head and
neck cancer using concomitant boost accelerated superfractionated
irradiation. Int J Radiat Oncol Biol Phys. 32:635–641. 1995.
View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Bradley JD, Ieumwananonthachai N, Purdy
JA, Wasserman TH, Lockett MA, Graham MV and Perez CA: Gross tumor
volume, critical prognostic factor in patients treated with
three-dimensional conformal radiation therapy for non-small-cell
lung carcinoma. Int J Radiat Oncol Biol Phys. 52:49–57. 2002.
View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Harmsma M, Schutte B and Ramaekers FC:
Serum markers in small cell lung cancer: Opportunities for
improvement. Biochim Biophys Acta. 1836:255–272. 2013.PubMed/NCBI
|
|
13
|
Carney DN, Marangos PJ, Ihde DC, Bunn PA
Jr, Cohen MH, Minna JD and Gazdar AF: Serum neuron-specific
enolase: A marker for disease extent and response to therapy of
small-cell lung cancer. Lancet. 1:583–585. 1982. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Jorgensen LG: Neuron specific enolase in
small cell lung cancer. Clinical and biochemical evaluation. Dan
Med Bull. 46:1–12. 1999.PubMed/NCBI
|
|
15
|
Bonner JA, Sloan JA, Rowland KM Jr, Klee
GG, Kugler JW, Mailliard JA, Wiesenfeld M, Krook JE, Maksymiuk AW,
Shaw EG, et al: Significance of neuron-specific enolase levels
before and during therapy for small cell lung cancer. Clin Cancer
Res. 6:597–601. 2000.PubMed/NCBI
|
|
16
|
Yip D and Harper PG: Predictive and
prognostic factors in small cell lung cancer: Current status. Lung
cancer. 28:173–185. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Jennings SGI, Winer-Muram HT, Tarver RD
and Farber MO: Lung tumor growth: Assessment with CT - comparison
of diameter and cross-sectional area with volume measurements.
Radiology. 231:866–871. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Ciernik IF, Dizendorf E, Baumert BG,
Reiner B, Burger C, Davis JB, Lütolf UM, Steinert HC and Von
Schulthess GK: Radiation treatment planning with an integrated
positron emission and computer tomography (PET/CT): A feasibility
study. Int J Radiat Oncol Biol Phys. 57:853–863. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Bradley J, Thorstad WL, Mutic S, Miller
TR, Dehdashti F, Siegel BA, Bosch W and Bertrand RJ: Impact of
FDG-PET on radiation therapy volume delineation in non-small-cell
lung cancer. Int J Radiat Oncol Biol Phys. 59:78–86. 2004.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Liao S, Penney BC, Wroblewski K, Zhang H,
Simon CA, Kampalath R, Shih MC, Shimada N, Chen S, Salgia R, et al:
Prognostic value of metabolic tumor burden on 18F-FDG PET in
nonsurgical patients with non-small cell lung cancer. Eur J Nucl
Med Mol Imaging. 39:27–38. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Vu CC, Matthews R, Kim B, Franceschi D,
Bilfinger TV and Moore WH: Prognostic value of metabolic tumor
volume and total lesion glycolysis from 18F-FDG PET/CT in patients
undergoing stereotactic body radiation therapy for stage I
non-small-cell lung cancer. Nucl Med Commun. 34:959–963. 2013.
View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Roedl JB, Halpern EF, Colen RR, Sahani DV,
Fischman AJ and Blake MA: Metabolic tumor width parameters as
determined on PET/CT predict disease-free survival and treatment
response in squamous cell carcinoma of the esophagus. Mol Imaging
Biol. 11:54–60. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Oh MY, Chung JS, Song MK, Shin HJ, Lee HS,
Lee SM, Lee GW and Lee SE: Prognostic value of Waldeyer's ring
involvement of diffuse large B-cell lymphoma treated with R-CHOP.
Int J Hematol. 97:397–402. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Zhu D, Ma T, Niu Z, Zheng J, Han A, Zhao S
and Yu J: Prognostic significance of metabolic parameters measured
by (18)F-fluorodeoxyglucose positron emission tomography/computed
tomography in patients with small cell lung cancer. Lung cancer.
73:332–337. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Xie P, Yue JB, Zhao HX, Sun XD, Kong L, Fu
Z and Yu JM: Prognostic value of 18F-FDG PET-CT metabolic index for
nasopharyngeal carcinoma. J Cancer Res Clin Oncol. 136:883–889.
2010. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Kubota R, Yamada S, Kubota K, Ishiwata K,
Tamahashi N and Ido T: Intratumoral distribution of
fluorine-18-fluorodeoxyglucose in vivo: High accumulation in
macrophages and granulation tissues studied by
microautoradiography. J Nucl Med. 33:1972–1980. 1992.PubMed/NCBI
|
