Accuracy of methionine-PET in predicting the efficacy of heavy-particle therapy on primary adenoid cystic carcinomas of the head and neck
© Toubaru et al.; licensee BioMed Central Ltd. 2013
Received: 10 December 2012
Accepted: 4 June 2013
Published: 13 June 2013
We evaluated whether or not PET or PET/CT using L-methyl-[11C]-methionine (MET) can allow for the early prediction of local recurrence and metastasis, as well as the prognosis (disease-specific survival), in patients with adenoid cystic carcinoma of the head and neck treated by carbon ion beam radiotherapy.
This was a retrospective cohort study of sixty-seven patients who underwent a MET-PET or PET/CT study prior to and one month after the completion of carbon ion radiotherapy (CIRT). The minimum follow-up period for survivors was 12 months. The MET accumulation of the tumor was evaluated using the semiquantitative tumor to normal tissue ratio (TNR). A univariate analysis was conducted using the log-rank method, and the Cox model was used in a multivariate survival regression analysis.
The average TNR prior to and following treatment was 4.8 (±1.5) and 3.0 (±1.3), respectively, showing a significant decrease following treatment. In the univariate analysis, a high TNR prior to treatment (TNRpre) was a significant factor for predicting the occurrence of metastasis and the disease-specific survival. A high TNR following treatment (TNRpost) was a significant factor for predicting the development of local recurrence. The residual ratio of TNR changes (TNRratio) seemed to be less useful than the TNRpre. In the multivariate analysis, the TNRpost and tumor size were the factors found to significantly influence the risk of local recurrence. The TNRpre, TNRratio and tumor size were all significant factors influencing the occurrence of metastasis. Regarding the disease-specific survival, the TNRpre and age were the only factors with a significant influence on the outcome.
The TNRpre was a factor that was significantly related to the occurrence of metastasis and the disease-specific survival after CIRT for adenoid cystic carcinoma of the head and neck. The TNRpost was a factor that was significantly related to the development of local recurrence. Thus, MET-PET or PET/CT can be useful for predicting or determining the therapeutic efficacy of CIRT.
Adenoid cystic carcinomas are malignant tumors generated from the secretory epithelial cells of the salivary glands, accounting for about 10% of all salivary gland tumors. They are relatively rare tumors, representing less than 1% of all malignant tumors in the head and neck region[1, 2]. Although their development is slow, they have a strong tendency for local invasion and locally recur at a high frequency. They are also characterized by the frequent occurrence of metastasis during the clinical course over a long period of time[2–6]. Radical excision by surgery has been the primary treatment option, however, wide-range excision can be difficult due to the complicated anatomical structure in the head and neck region. A decrease in quality of life following surgery is also unavoidable due to the loss of oral functions and aesthetic issues due to formal changes in the tissues. Adenoid cystic carcinomas have low radiation sensitivity, and the local control rate is unsatisfactory with radiation therapy using conventional X-rays. Furthermore, there has been no clear evidence regarding the effects of chemotherapy[4, 8].
Carbon ions are a type of heavy ion associated with high linear energy transfer (LET) radiation with high relative biological effectiveness (RBE). The biological characteristics of these ions include that there is little recovery observed following sub-lethal damage (SLD), and smaller differences in sensitivity due to the phase in the cell cycle and due to the oxygen concentration (low OER: oxygen enhancement ratio) compared to low LET radiation, such as X-rays or proton beams. The physical characteristics of these carbon ions include their having a high relative dose, called a Bragg peak, which reaches about 15 cm deep from the body surface. Consequently, carbon ions have excellent efficacy when used in focused dose concentrations, in addition to allowing for treatment at a good dose distribution with fewer side effects on normal tissues. Taking these characteristics into consideration, it is believed that carbon ions can also provide an effective therapeutic method for cancers that are resistant to conventional radiation.
L-methyl [C-11]-methionine (MET)
The amino acid metabolism in malignant cells is related to various catabolic processes associated with tumor growth. MET is a neutral essential amino acid that plays a key role in cancer cell metabolism. MET is a necessary amino acid for protein and polyamine synthesis, as well as transmethylation reactions. Because of their enhanced levels of these reactions, the uptake of MET into cancer cells is enhanced[15–17]. This metabolism can be visualized by positron emission tomography (PET) using radiolabeled MET. However, the use of MET imaging is restricted to PET centers with an in-house cyclotron and radiochemistry facility because of the short half-life (20 min) of C-11.
Carbon ion radiotherapy and PET for head and neck cancers
In our institute, a Phase I/II carbon ion radiotherapy (CIRT) trial has been conducted in patients with unresectable head and neck cancers, and 669 head and neck tumors had been treated with CIRT as of March 2010[18–20]. The three-year local control rate of adenoid cystic carcinomas of the head and neck in patients treated with carbon ion radiotherapy (CIRT) was 82%, and the five-year survival rate was 68%[19, 20]. A MET-PET (or PET/CT) study was performed to evaluate the tumor prior to and following heavy-particle therapy. In bone and soft tissue sarcomas and chordomas, we have reported that the development of local recurrence could be predicted using the rate of decrease in MET accumulation prior to and following heavy-particle therapy[21, 22]. In choroidal malignant melanomas, although there were no changes in the long-term tumor size observed in MRI studies following heavy-particle therapy, decreases in MET accumulation were observed in most cases from six months or more after treatment. The usefulness of MET-PET in evaluating heavy-particle therapy for adenocarcinoma of the head and neck has previously been examined. The present study was a retrospective cohort study to investigate the accuracy of MET-PET (or PET/CT) for predicting the efficacy of heavy-particle therapy against primary adenoid cystic carcinomas of the head and neck.
Patient characteristics (n = 67 patients)
No. of patients
% of patients
Tumor size in mm
Carbon ion radiotherapy protocol
Carbon ion radiotherapy regimens
Number of patients
Total dose (GyE)
Fraction dose (GyE)
PET and PET/CT studies
MET with a high specific activity was produced by the standard technique using a method modified from the synthesis reported by Langstrom et al.. The MET studies for adenoid cystic carcinomas of the head and neck were carried out with a PET device over the period between October 1995 and September 2007. The studies were changed to a PET/CT device, and patients were examined using the new device between January 2003 and February 2010. In the PET study, whole-body scanners (ECAT EXACT HR+ and ECAT EXACT 47; Siemens CTI, Knoxville, TN, USA) were used. In the PET/CT study, whole-body PET/CT scanners (Biograph duo and Biograph 16; Siemens CTI, Knoxville, TN and Aquiduo; Toshiba Medical Systems Corporation, Otawara-shi, Tochigi-ken) were used. The ECAT EXACT HR+, ECAT EXACT 47, Biograph duo, Biograph 16 and Aquiduo were used to scan 29, 9, 10, 7 and 12 patients, respectively. The same PET device as was used for the MET-PET study prior to the treatment was also used to carry out the study following the treatment so that the results could be easily compared. With the ECATs and Biograph duo, emission data corrected for random events, dead time and attenuation were reconstructed by filtered backprojection using a Ramp filter with a cut-off frequency of 0.4, followed by decay correction. With the Biograph 16 and Aquiduo instruments, emission data with the corrections were reconstructed by OSEM using 16 subsets, four iterations and a Gaussian filter (FWHM 8.0 mm), followed by decay correction.
A PET or PET/CT study was carried out prior to the start of CIRT (average 11 ± 7.3 days; 0–34 days) and approximately one month after the completion of the treatment (average 30 ± 9.4 days; 11–69 days). The patients fasted for at least four hours prior to the study. For the emission data, on average, 703 ± 63 MBq (19 ± 1.7 mCi) or 518–884 MBq (14–24 mCi) of MET was administered intravenously, and collection was started after 23 minutes. Regarding the difference in the sensitivity in the PET scanners, static emission scans were performed for 30 min using the ECAT EXACT HR+ and for 15 min by the ECAT EXACT 47 for each bed position, respectively[21, 22, 28]. For the PET/CT study, prior to a PET emission scan, an unenhanced helical CT scan (tube voltage: 120 kV, tube current range: 10-300 mA) was performed with a pitch of 0.5 s/rotation. CT images were reconstructed with a filtered back projection algorithm (512 × 512 matrix size, and a slice thickness of 2.0 mm) and the μ-map data for attenuation correction were calculated from the CT data. The CT scan was performed from the calvarium to the femoral region, and the PET emission data were collected for these regions. The emission scan was performed for three minutes per bed, and was performed for seven to nine beds. PET and PET/CT images were interpreted in consensus by a nuclear medicine specialist physician (with more than 25 years of experience in nuclear medicine and PET) and two oral and maxillofacial surgeons who were certified as PET nuclear medicine specialists (five and six years of PET experience, respectively).
The survival period was defined as the time period from the start of CIRT until death or completion of this study. The univariate analysis was conducted using a log-rank test that compared the associations among the clinical, radiographic and pathological parameters with the survival curves between two groups. The Cox model was used in a multivariate survival regression analysis, while adjusting the survival comparisons for various factors that otherwise influenced survival. The hazard ratio was calculated from this model.
Tumor accumulation was evaluated using a semi-quantitative TNR (tumor to normal tissue ratio) evaluation, which was calculated using the SUN Ultra 60 and SUN Blade 2500 PET software programs (version 7.22; Siemens CTI, Knoxville, TN, USA), and VOX BASE II (version 2.69j; J-MAC System, Inc, Sapporo, Hokkaido, Japan). The TNR was calculated using the following formula: TNR = [mean counts per pixel of tumor regions of interest]/[mean counts per pixel of normal tissue regions of interest]. Two normal tissue regions of interest (ROIs) were set in the muscles of the posterior region of the neck, and the mean counts for these ROIs were used to calculate the TNR. In some cases, ROIs were difficult to determine by PET, but adding anatomical information obtained by CT or MRI could allow them to be set.
The univariate and multivariate analyses were carried out regarding the TNR prior to treatment (TNRpre), TNR following treatment (TNRpost) and the residual ratio of TNR changes (TNRratio), as well as the age, gender and tumor size (three clinical factors). The univariate analysis was conducted to identify the statistically significant relationships between the TNRs and treatment outcomes, and to determine the optimal cut-off values for dividing the patients into two groups. Then, using the cut-off values derived from the univariate analysis, the multivariate analysis was conducted for the relationships that were found to be statistically significant in the univariate analysis. The TNRratio was calculated as follows; [TNRpre]/[TNRpost] × 100 (%). A difference of p < 0.05 was considered to be significant. To define the two groups in the Kaplan-Meier analysis, the most appropriate cut-off levels were determined to be the midpoint of the range, so that the lowest p value was obtained in each statistical analysis. Forty millimeters was employed as a cut-off value for the tumor size (peak dimension), because this value is regarded to be the boundary between T2 and T3 tumors of the head and neck in many sites, such as the oral cavity, large salivary gland, oropharynx and hypopharynx. The statistical analyses were conducted using the Statview software program (version 5.0; SAS Institute Inc, Cary, North Carolina, USA).
Clinical results and PET imaging
Results of a univariate analysis
TNR prior to treatment (P value)
(p < 0.0001)*
(p < 0.0001)*
TNR following treatment (P value)
(p < 0.005)*
Residual ratio of TNR (P value)
(p < 0.01)*
(p < 0.05)*
A multivariate analysis (Cox proportional hazard model) was conducted using the age, gender, tumor size, TNRpre, TNRpost and TNRratio. Three clinical factors were added to investigate whether or not the TNRpre, TNRpost and TNRratio can be used as predictive factors for local recurrence, metastasis and disease-specific survival. That is, the average age of 54 years old and a tumor size (radius of the maximum length) of 40 mm were used as cut-off values. Regarding the TNRpre, a multivariate analysis was conducted for metastasis and disease-specific survival in which significant differences had been observed in the univariate analysis. A cut-off value of 5.6 was set for each TNRpre. Regarding the TNRpost, a multivariate analysis was conducted for local recurrence, in which significant differences had been observed in the univariate analysis. A cut-off value of 3.5 was set for the TNRpost. Regarding the TNRratio, a multivariate analysis was conducted for metastasis and disease-specific survival, in which significant differences had been observed in the univariate analysis. The cut-off values were set at 60% for metastasis and 80% for disease-specific survival.
Regarding the development of local recurrence in the investigation using the TNRpost and three clinical factors, the TNRpost (p < 0.04) and tumor size (p < 0.03) were identified as influential factors. In the investigation of metastasis using the TNRpre and three clinical factors, the TNRpre (p < 0.002) was the only influential factor. In the investigation of metastasis using the TNRratio and three clinical factors, the TNRratio (p < 0.04) and tumor size (p < 0.03) were both identified as influential factors.
Prognostic factors including prior to treatment in the patients using multivariate analysis
TNR prior to treatment (≥5.6 vs. <5.6)
Tumor size (>40 vs. ≤40)
Age (≥54 vs. <54)
Gender (male vs. female)
TNR prior to treatment (≥5.6 vs. <5.6)
Tumor size (>40 vs. ≤40)
Age (≥54 vs. <54)
Gender (male vs. female)
Prognostic factors including following treatment in the patients using multivariate analysis
TNR following treatment (≥3.5 vs. <3.5)
Tumor size (>40 vs. ≤40)
Age (≥54 vs. <54)
Gender (male vs. female)
Prognostic factors including the residual ratio of TNR changes prior to and following treatment in the patients using multivariate analysis
Residual ratio of TNR (≥60% vs. <60%)
Tumor size (>40 vs. ≤40)
Age (≥54 vs. <54)
Gender (male vs. female)
Residual ratio of TNR (≥80% vs. <80%)
Tumor size (>40 vs. ≤40)
Age (≥54 vs. <54)
Gender (male vs. female)
Primary adenoid cystic carcinomas of the head and neck are relatively rare tumors[1, 2], with slow development, but which have a strong tendency for local invasion, leading a frequency of metastasis and a poor prognosis[2–6]. Currently, surgery and postoperative irradiation have been the most common therapeutic methods used to treat these cancers. According to a review by Dodd et al., the efficacy of chemotherapy is highly variable. Regimens with platinating agents, anthracyclines and alkylating agents have shown the most consistent reaction rates, with efficacy rates ranging from 25-33%. Spiro et al. reported that local recurrence was observed in 62% and metastasis in 38% of patients in an investigation of 196 cases of salivary gland primary adenoid cystic carcinomas (surgery only, 188 cases; radiation only, 8 cases). Khan et al. reported the outcomes of various treatments, and the overall rate of local recurrence was 12-52% and the rate of metastasis was 19-52%. In our investigation, local recurrence developed in 31% of the 67 cases and metastasis was observed in 40% of cases; however, considering that 76% of the 67 cases were in stage T4, it should be noted that the local control by CIRT was relatively high compared to that of other therapeutic methods.
It has been reported that the development of local recurrence or metastasis 10 years following treatment is not rare in patients with adenoid cystic carcinomas, with one case of lung metastasis among our cases occurring 132 months after treatment. It is believed that strict follow-up is required over a long time period. Fordice et al. have reported that, in 160 cases of primary adenoid cystic carcinoma of the head and neck for which surgery alone or surgery/radiation combination therapy were performed, the five-year survival rate was 89% and the 10-year survival rate was 67.4%. A review by Khan et al. reported that the five-year survival rate was 67-73% and the 10-year survival rate was 44-51%. In our study, the five-year survival rate was 69% and the 10-year survival rate was 45%, which was approximately the same as those reported in the other studies.
No other report using PET targeting primary adenoid cystic carcinoma of the head and neck has been published. However, Lindholm et al. performed MET-PET prior to and following treatment with radiation therapy for cancer of the head and neck in 15 cases (SCC in 13 cases, ACC in one case and plasmocytoma in one case) and reported that the MET accumulation following treatment was significantly related to the histological effect. Chesnay et al. showed that MET-PET accumulation after the completion of one course of chemotherapy for hypopharynx squamous cancer was significantly correlated with a reduction in the tumor mass, as measured by MRI at the completion of three courses of chemotherapy. Although there were no significant differences between the groups with a good/poor effect observed by the MET-PET evaluation, there were differences in the two-year survival rates, which were 83% and 57%. Hasebe et al. carried out a statistical (univariate and multivariate analysis) investigation regarding the use of MET-PET to predict the therapeutic efficacy of CIRT for 39 head and neck adenocarcinoma patients, and their multivariate analysis revealed that the TNRpre was a significant factor influencing the metastasis and disease-specific survival, while the TNR following the treatment was associated with the local recurrence, metastasis and disease-specific survival, and the change in accumulation was associated with the development of metastasis and the disease-specific survival. Consequently, it was reported that MET-PET allowed for a prediction of the therapeutic efficacy. These references seem to suggest that MET-PET is potentially useful for determining the therapeutic efficacy of radiation therapy and chemotherapy.
As a result of our multivariate analysis, the TNRpost based on the MET accumulation and the tumor size were found to be significantly influential factors in terms of local recurrence. In terms of indices regarding MET accumulation that are associated with the occurrence of metastasis, the TNRpre and TNRratio were identified as the significantly influential factors. With regard to the disease-specific survival, the TNRpre and age were the significantly influential factors, while the tumor size, patient age and gender were also influential in other combinations.
Kokemueller et al. pointed out that the tumor size as an important factor for predicting local recurrence. Spiro et al. pointed out that the size of the primary focus was an influential factor on metastasis. Jones et al. have suggested that the prognosis was significantly better for T1 + T2 patients, with a 10-year survival rate of 80% for T1 + T2, while it was only 30% for T3 + T4 cases. In our results, the tumor size was also a significantly influential factor for local recurrence, in addition to metastasis and disease-specific survival. Moreover, Jones et al. reported that males with primary adenoid cystic carcinomas of the head and neck had a significantly better prognosis than females, while our results suggested that the five-year survival rate was 53% for males and 78% for females, indicating that females had a better disease-specific survival in our patient cohort. The TNRpre was a significant factor predicting both the development of metastasis and the disease-specific survival. Similarly, the TNRpost was a significant factor for predicting local recurrence. However, there was a significant negative correlation observed between the TNRratio and TNRpre. That is, cases with a low TNRratio were likely to have a high TNRpre (i.e. negative correlation), and therefore, to have a tendency toward more frequent occurrence of metastasis. It is believed that the TNRratio is less useful than the TNRpre.
In our present investigation, it was suggested that it was possible to predict the effects of CIRT using MET-PET (or PET/CT). Based on these results, it is expected that PET studies will be useful for selecting an optimal individualized treatment strategy, for example, by introducing a strict short-term follow-up or active combination therapy with chemotherapy, etc., when an increased risk of metastasis is identified in cases with a high TNRpre. The determination of the effect of CIRT using MET-PET (or PET/CT) is also expected to contribute to clinical studies of other malignant tumors being carried out at our institute.
In patients with adenoid cystic carcinomas of the head and neck on which CIRT was performed, MET-PET (or PET/CT) performed prior to treatment could predict the development of future metastasis and the disease-specific survival. MET-PET (or PET/CT) performed following treatment was able to predict the development of local recurrence. Thus, MET-PET or PET/CT is useful for determining the therapeutic efficacy of CIRT.
We are very grateful to Professor Yoshiki Hamada, D.D.S., Ph.D., and for providing a critical review of the manuscript. We would like to express our sincere thanks to Hirohiko Tsujii, M.D., Ph.D., without whom this manuscript would not have been possible. Our deepest appreciation goes to Junetsu Mizoe, M.D., Ph.D., giving warm encouragement and supporting patients treatment involving Carbon ion radiotherapy. We are grateful to Toshimitsu Fukumura, Ph.D., for PET tracer production. We thank Takahiro Shiraishi, R.T., and other members of PET diagnosis section of Research center hospital for charged particle therapy of the NIRS for their assistance with the clinical studies. We thank Mitsuhiko Hasebe, D.D.S., Ph.D., Susumu Kandatsu, M.D., for their warm supports and cooperations. This study was supported by the research project with heavy ions at the National Institute of Radiological Sciences-Heavy Ion Medical Accelerator in Chiba. Part of this study was presented at the Annual Congress of the European Association of Nuclear Medicine in October 2011.
- Spiro RH, Huvos AG, Strong EW: Adenoid cystic carcinoma of salivary origin. A clinicopathologic study of 242 cases. Am J Surg 1974,128(4):512-520. 10.1016/0002-9610(74)90265-7View ArticlePubMedGoogle Scholar
- Kim KH, Sung MW, Chung PS, Rhee CS, Park CI, Kim WH: Adenoid cystic carcinoma of the head and neck. Arch Otolaryngol Head Neck Surg 1994,120(7):721-726. 10.1001/archotol.1994.01880310027006View ArticlePubMedGoogle Scholar
- Khan AJ, DiGiovanna MP, Ross DA, Sasaki CT, Carter D, Son YH, et al.: Adenoid cystic carcinoma: a retrospective clinical review. Int J Cancer 2001,96(3):149-158. 10.1002/ijc.1013View ArticlePubMedGoogle Scholar
- Takagi D, Fukuda S, Furuta Y, Yagi K, Homma A, Nagahashi T, et al.: Clinical study of adenoid cystic carcinoma of the head and neck. Auris Nasus Larynx 2001, 28: S99-S102.View ArticlePubMedGoogle Scholar
- Spiro RH: Distant metastasis in adenoid cystic carcinoma of salivary origin. Am J Surg 1997,174(5):495-498. 10.1016/S0002-9610(97)00153-0View ArticlePubMedGoogle Scholar
- Kokemueller H, Eckardt A, Brachvogel P, Hausamen JE: Adenoid cystic carcinoma of the head and neck-a 20 years experience. Int J Oral Maxillofac Surg 2004,33(1):25-31. 10.1054/ijom.2003.0448View ArticlePubMedGoogle Scholar
- Mendenhall WM, Morris CG, Amdur RJ, Werning JW, Hinerman RW, Villaret DB: Radiotherapy alone or combined with surgery for adenoid cystic carcinoma of the head and neck. Head Neck 2004,26(2):154-162. 10.1002/hed.10380View ArticlePubMedGoogle Scholar
- Dodd RL, Slevin NJ: Salivary gland adenoid cystic carcinoma: a review of chemotherapy and molecular therapies. Oral Oncol 2006,42(8):759-769. 10.1016/j.oraloncology.2006.01.001View ArticlePubMedGoogle Scholar
- Blakely EA: Cell inactivation by heavy charged particles. Radiat Environ Biophys 1992,31(3):181-196. 10.1007/BF01214826View ArticlePubMedGoogle Scholar
- Tobias CA, Blakely EA, Alpen EL, Castro JR, Ainsworth EJ, Curtis SB, et al.: Molecular and cellular radiobiology of heavy ions. Int J Radiat Oncol Biol Phys 1982,8(12):2109-2120. 10.1016/0360-3016(82)90554-5View ArticlePubMedGoogle Scholar
- Ando K, Koike S, Ohira C, Chen YJ, Nojima K, Ando S, et al.: Accelerated reoxygenation of a murine fibrosarcoma after carbon-ion radiation. Int J Radiat Biol 1999,75(4):505-512. 10.1080/095530099140438View ArticlePubMedGoogle Scholar
- Kanai T, Endo M, Minohara S, Miyahara N, Koyama-ito H, Tomura H, et al.: Biophysical characteristics of HIMAC clinical irradiation system for heavy-ion radiation therapy. Int J Radiat Oncol Biol Phys 1999,44(1):201-210. 10.1016/S0360-3016(98)00544-6View ArticlePubMedGoogle Scholar
- Hoffman RM: Altered methionine metabolism. DNA methylation and oncogene expression in carcinogenesis. A review and synthesis. Biochim Biophys Acta 1984,738(1–2):49-87.PubMedGoogle Scholar
- Hoffman RM: Unbalanced transmethylation and the perturbation of the differentiated state leading to cancer. Bioessays 1990,12(4):163-166. 10.1002/bies.950120404View ArticlePubMedGoogle Scholar
- Stern PH, Hoffman RM: Elevated overall rates of transmethylation in cell lines from diverse human tumors. In Vitro 1984,20(8):663-670. 10.1007/BF02619617View ArticlePubMedGoogle Scholar
- Stern PH, Wallace CD, Hoffman RM: Altered methionine metabolism occurs in all members of a set of diverse human tumor cell lines. J Cell Physiol 1984,119(1):29-34. 10.1002/jcp.1041190106View ArticlePubMedGoogle Scholar
- Wheatley DN: On the problem of linear incorporation of amino acids into cell protein. Experientia 1982,38(7):818-820. 10.1007/BF01972291View ArticlePubMedGoogle Scholar
- Mizoe JE, Tsujii H, Kamada T, Matsuoka Y, Tsuji H, Osaka Y, et al.: Dose escalation study of carbon ion radiotherapy for locally advanced head-and-neck cancer. Int J Radiat Oncol Biol Phys 2004,60(2):358-364. 10.1016/j.ijrobp.2004.02.067View ArticlePubMedGoogle Scholar
- Tsujii H, Mizoe JE, Kamada T, Baba M, Tsuji H, Kato H, et al.: Clinical results of carbon ion radiotherapy at NIRS. J Radiat Res 2007,48(Suppl A):A1-A13.View ArticlePubMedGoogle Scholar
- Okada T, Kamada T, Tsuji H, Mizoe JE, Baba M, Kato S, et al.: Carbon ion radiotherapy: clinical experiences at National Institute of Radiological Science (NIRS). J Radiat Res 2010,51(4):355-364. 10.1269/jrr.10016View ArticlePubMedGoogle Scholar
- Zhang H, Yoshikawa K, Tamura K, Tomemori T, Sagou K, Tian M, et al.: (11)C]methionine positron emission tomography and survival in patients with bone and soft tissue sarcomas treated by carbon ion radiotherapy. Clin Cancer Res 2004,10(5):1764-1772. 10.1158/1078-0432.CCR-0190-3View ArticlePubMedGoogle Scholar
- Koizumi M, Saga T, Yoshikawa K, Suzuki K, Yamada S, Hasebe M, et al.: C-11-methionine-PET for evaluation of carbon ion radiotherapy in patients with pelvic recurrence of rectal cancer. Mol Imaging Biol 2008,10(6):374-380. 10.1007/s11307-008-0156-1View ArticlePubMedGoogle Scholar
- Tamura K, Yoshikawa K, Ishikawa H, Hasebe M, Tsuji H, Yanagi T, et al.: Carbon-11-methionine PET imaging of choroidal melanoma and the time course after carbon ion beam radiotherapy. Anticancer Res 2009,29(5):1507-1514.PubMedGoogle Scholar
- Hasebe M, Yoshikawa K, Ohashi S, Toubaru S, Kawaguchi K, Sato J, et al.: A study on the prognostic evaluation of carbon ion radiotherapy for head and neck adenocarcinoma with C-11 methionine PET. Mol Imaging Biol 2010,12(5):554-562. 10.1007/s11307-010-0318-9View ArticlePubMedGoogle Scholar
- Hermanek P, Sobin LH, International Union Against Cancer: TNM classification of malignant tumors: fourth, fully revised edition. Geneva: Published by International Union Against Cancer; 1987:13-35.View ArticleGoogle Scholar
- World Health Organization: WHO Handbook for Reporting the Results of Cancer Treatment, Definitions of objective response. Geneva: World Health Organization; 1979:23-25. 48Google Scholar
- Långström B, Antoni G, Gullberg P, Halldin C, Malmborg P, Någren K, et al.: Synthesis of L- and D-[methyl-11C]methionine. J Nucl Med 1987,28(6):1037-1040.PubMedGoogle Scholar
- Zhang H, Yoshikawa K, Tamura K, Sagou K, Tian M, Suhara T, et al.: Carbon-11-methionine positron emission tomography imaging of chordoma. Skeletal Radiol 2004,33(9):524-530.View ArticlePubMedGoogle Scholar
- Fiorino C, Sanguineti G, Cozzarini C, Fellin G, Foppiano F, Menegotti L, et al.: Rectal dose-volume constraints in high-dose radiotherapy of localized prostate cancer. Int J Radiat Oncol Biol Phys 2003,57(4):953-962. 10.1016/S0360-3016(03)00665-5View ArticlePubMedGoogle Scholar
- Landau S, Rabe-Hesketh S: StatView for windows, version 5.0. Stat Methods Med Res 1999,8(4):337-341.View ArticlePubMedGoogle Scholar
- Ganly I, Patel SG, Coleman M, Ghossein R, Carlson D, Shah JP: Malignant minor salivary gland tumors of the larynx. Arch Otolaryngol Head Neck Surg 2006,132(7):767-770. 10.1001/archotol.132.7.767View ArticlePubMedGoogle Scholar
- Fordice J, Kershaw C, El-Naggar A, Goepfert H: Adenoid cystic carcinoma of the head and neck: predictors of morbidity and mortality. Arch Otolaryngol Head Neck Surg 1999,125(2):149-152.View ArticlePubMedGoogle Scholar
- Lindholm P, Leskinen-Kallio S, Grénman R, Lehikoinen P, Någren K, Teräs M, et al.: Evaluation of response to radiotherapy in head and neck cancer by positron emission tomography and [11C]methionine. Int J Radiat Oncol Biol Phys 1995,32(3):787-794. 10.1016/0360-3016(95)00007-LView ArticlePubMedGoogle Scholar
- Chesnay E, Babin E, Constans JM, Agostini D, Bequignon A, Regeasse A, et al.: Early response to chemotherapy in hypopharyngeal cancer: assessment with (11)C-methionine PET, correlation with morphologic response, and clinical outcome. J Nucl Med 2003,44(4):526-532.PubMedGoogle Scholar
- Jones AS, Hamilton JW, Rowley H, Husband D, Helliwell TR: Adenoid cystic carcinoma of the head and neck. Clin Otolaryngol Allied Sci 1997,22(5):434-443. 10.1046/j.1365-2273.1997.00041.xView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.