Apparent Diffusion Coefficient Calculated with Relatively High b-Values Correlates with Local Failure of Head and Neck Squamous Cell Carcinoma Treated with Radiotherapy

M. Hatakenaka; Y. Shioyama; K. Nakamura; H. Yabuuchi; Y. Matsuo; S. Sunami; T. Kamitani; T. Yoshiura; T. Nakashima; K. Nishikawa; H. Honda

doi:10.3174/ajnr.A2610

References

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Abstract/FREE Full Text
8.↵
1. Sumi M,
2. Ichikawa Y,
3. Nakamura T
. Diagnostic ability of apparent diffusion coefficients for lymphomas and carcinomas in the pharynx. Eur Radiol 2007;17:2631–37
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1. Hatakenaka M,
2. Soeda H,
3. Yabuuchi H,
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1. Mardor Y,
2. Roth Y,
3. Ochershvilli A,
4. et al
. Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI. Neoplasia 2004;6:136–42
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1. Oh J,
2. Henry RG,
3. Pirzkall A,
4. et al
. Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 2004;19:546–54
CrossRef PubMed
12.↵
1. Higano S,
2. Yun X,
3. Kumabe T,
4. et al
. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 2006;241:839–46
CrossRef PubMed Web of Science
13.↵
1. Murakami R,
2. Sugahara T,
3. Nakamura H,
4. et al
. Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology 2007;243:493–99
CrossRef PubMed Web of Science
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1. Chenevert TL,
2. Stegman LD,
3. Taylor JM,
4. et al
. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. J Natl Cancer Inst 2000;92:2029–36
Abstract/FREE Full Text
15.↵
1. Mardor Y,
2. Pfeffer R,
3. Spiegelmann R,
4. et al
. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 2003;21:1094–100
Abstract/FREE Full Text
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1. Hamstra DA,
2. Chenevert TL,
3. Moffat BA,
4. et al
. Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. Proc Natl Acad Sci U S A 2005;102:16759–64
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1. Moffat BA,
2. Chenevert TL,
3. Lawrence TS,
4. et al
. Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci U S A 2005;102:5524–29
Abstract/FREE Full Text
18.↵
1. Koh DM,
2. Scurr E,
3. Collins D,
4. et al
. Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. AJR Am J Roentgenol 2007;188:1001–08
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1. Kato H,
2. Kanematsu M,
3. Tanaka O,
4. et al
. Head and neck squamous cell carcinoma: usefulness of diffusion-weighted MR imaging in the prediction of a neoadjuvant therapeutic effect. Eur Radiol 2009;19:103–09
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20.↵
1. Kim S,
2. Loevner L,
3. Quon H,
4. et al
. Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck. Clin Cancer Res 2009;15:986–94
Abstract/FREE Full Text
21.↵
1. Vandecaveye V,
2. Dirix P,
3. De Keyzer F,
4. et al
. Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol 2010;20:1703–14
CrossRef PubMed
22.↵
1. King AD,
2. Mo FK,
3. Yu KH,
4. et al
. Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response. Eur Radiol 2010;20:2213–20
CrossRef PubMed
23.↵
1. Hatakenaka M,
2. Nakamura K,
3. Yabuuchi H,
4. et al
. Pretreatment apparent diffu-sion coefficient of the primary lesion correlates with local failure in head-and -neck cancer treated with chemoradiotherapy or radiotherapy. Int J Radiation Oncology Biol Phys 2011;81:339–45
CrossRef PubMed
24.↵
1. O'Sullivan B
. Nasopharynx cancer: therapeutic value of chemoradiotherapy. Int J Radiat Oncol Biol Phys 2007;69:S118–21
PubMed
25.↵
1. Le Bihan D,
2. Breton E,
3. Lallemand D,
4. et al
. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168:497–505
PubMed Web of Science
26.↵
1. Yamada I,
2. Aung W,
3. Himeno Y,
4. et al
. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 1999;210:617–23
CrossRef PubMed Web of Science
27.↵
1. Hamstra DA,
2. Lee KC,
3. Moffat BA,
4. et al
. Diffusion magnetic resonance imaging: an imaging treatment response biomarker to chemoradiotherapy in a mouse model of squamous cell cancer of the head and neck. Transl Oncol 2008;1:187–94
PubMed
28.↵
1. Ljumanovic R,
2. Langendijk JA,
3. van Wattingen M,
4. et al
. MR imaging predictors of local control of glottic squamous cell carcinoma treated with radiation alone. Radiology 2007;244:205–12
CrossRef PubMed
29.↵
1. Cao Y,
2. Popovtzer A,
3. Li D,
4. et al
. Early prediction of outcome in advanced head-and-neck cancer based on tumor blood volume alterations during therapy: a prospective study. Int J Radiat Oncol Biol Phys 2008;72:1287–90
PubMed

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[1] 1.↵
Tanner JE
. Self diffusion of water in frog muscle. Biophys J 1979;28:107–16
PubMed

[2] Tanner JE

[3] 2.↵
Tanner JE
. Intracellular diffusion of water. Arch Biochem Biophys 1983;224:416–28
CrossRef PubMed Web of Science

[4] Tanner JE

[5] 3.↵
Hatakenaka M,
Matsuo Y,
Setoguchi T,
et al
. Alteration of proton diffusivity associated with passive muscle extension and contraction. J Magn Reson Imaging 2008;27:932–37
CrossRef PubMed Web of Science

[6] Hatakenaka M,

[7] Matsuo Y,

[8] Setoguchi T,

[9] et al

[10] 4.↵
Hatakenaka M,
Yabuuchi H,
Sunami S,
et al
. Joint position affects muscle proton diffusion: evaluation with a 3-T MR system. AJR Am J Roentgenol 2010;194:W208–11
CrossRef PubMed

[11] Hatakenaka M,

[12] Yabuuchi H,

[13] Sunami S,

[14] et al

[15] 5.↵
Wang J,
Takashima S,
Takayama F,
et al
. Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging. Radiology 2001;220:621–30
CrossRef PubMed

[16] Wang J,

[17] Takashima S,

[18] Takayama F,

[19] et al

[20] 6.↵
Guo Y,
Cai YQ,
Cai ZL,
et al
. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 2002;16:172–78
CrossRef PubMed Web of Science

[21] Guo Y,

[22] Cai YQ,

[23] Cai ZL,

[24] et al

[25] 7.↵
Eida S,
Sumi M,
Sakihama N,
et al
. Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy. AJNR Am J Neuroradiol 2007;28:116–21
Abstract/FREE Full Text

[26] Eida S,

[27] Sumi M,

[28] Sakihama N,

[29] et al

[30] 8.↵
Sumi M,
Ichikawa Y,
Nakamura T
. Diagnostic ability of apparent diffusion coefficients for lymphomas and carcinomas in the pharynx. Eur Radiol 2007;17:2631–37
CrossRef PubMed

[31] Sumi M,

[32] Ichikawa Y,

[33] Nakamura T

[34] 9.↵
Hatakenaka M,
Soeda H,
Yabuuchi H,
et al
. Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 2008;7:23–29
CrossRef PubMed

[35] Hatakenaka M,

[36] Soeda H,

[37] Yabuuchi H,

[38] et al

[39] 10.↵
Mardor Y,
Roth Y,
Ochershvilli A,
et al
. Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI. Neoplasia 2004;6:136–42
CrossRef PubMed

[40] Mardor Y,

[41] Roth Y,

[42] Ochershvilli A,

[43] et al

[44] 11.↵
Oh J,
Henry RG,
Pirzkall A,
et al
. Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 2004;19:546–54
CrossRef PubMed

[45] Oh J,

[46] Henry RG,

[47] Pirzkall A,

[48] et al

[49] 12.↵
Higano S,
Yun X,
Kumabe T,
et al
. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 2006;241:839–46
CrossRef PubMed Web of Science

[50] Higano S,

[51] Yun X,

[52] Kumabe T,

[53] et al

[54] 13.↵
Murakami R,
Sugahara T,
Nakamura H,
et al
. Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology 2007;243:493–99
CrossRef PubMed Web of Science

[55] Murakami R,

[56] Sugahara T,

[57] Nakamura H,

[58] et al

[59] 14.↵
Chenevert TL,
Stegman LD,
Taylor JM,
et al
. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. J Natl Cancer Inst 2000;92:2029–36
Abstract/FREE Full Text

[60] Chenevert TL,

[61] Stegman LD,

[62] Taylor JM,

[63] et al

[64] 15.↵
Mardor Y,
Pfeffer R,
Spiegelmann R,
et al
. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 2003;21:1094–100
Abstract/FREE Full Text

[65] Mardor Y,

[66] Pfeffer R,

[67] Spiegelmann R,

[68] et al

[69] 16.↵
Hamstra DA,
Chenevert TL,
Moffat BA,
et al
. Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. Proc Natl Acad Sci U S A 2005;102:16759–64
Abstract/FREE Full Text

[70] Hamstra DA,

[71] Chenevert TL,

[72] Moffat BA,

[73] et al

[74] 17.↵
Moffat BA,
Chenevert TL,
Lawrence TS,
et al
. Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci U S A 2005;102:5524–29
Abstract/FREE Full Text

[75] Moffat BA,

[76] Chenevert TL,

[77] Lawrence TS,

[78] et al

[79] 18.↵
Koh DM,
Scurr E,
Collins D,
et al
. Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. AJR Am J Roentgenol 2007;188:1001–08
CrossRef PubMed

[80] Koh DM,

[81] Scurr E,

[82] Collins D,

[83] et al

[84] 19.↵
Kato H,
Kanematsu M,
Tanaka O,
et al
. Head and neck squamous cell carcinoma: usefulness of diffusion-weighted MR imaging in the prediction of a neoadjuvant therapeutic effect. Eur Radiol 2009;19:103–09
CrossRef PubMed

[85] Kato H,

[86] Kanematsu M,

[87] Tanaka O,

[88] et al

[89] 20.↵
Kim S,
Loevner L,
Quon H,
et al
. Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck. Clin Cancer Res 2009;15:986–94
Abstract/FREE Full Text

[90] Kim S,

[91] Loevner L,

[92] Quon H,

[93] et al

[94] 21.↵
Vandecaveye V,
Dirix P,
De Keyzer F,
et al
. Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol 2010;20:1703–14
CrossRef PubMed

[95] Vandecaveye V,

[96] Dirix P,

[97] De Keyzer F,

[98] et al

[99] 22.↵
King AD,
Mo FK,
Yu KH,
et al
. Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response. Eur Radiol 2010;20:2213–20
CrossRef PubMed

[100] King AD,

[101] Mo FK,

[102] Yu KH,

[103] et al

[104] 23.↵
Hatakenaka M,
Nakamura K,
Yabuuchi H,
et al
. Pretreatment apparent diffu-sion coefficient of the primary lesion correlates with local failure in head-and -neck cancer treated with chemoradiotherapy or radiotherapy. Int J Radiation Oncology Biol Phys 2011;81:339–45
CrossRef PubMed

[105] Hatakenaka M,

[106] Nakamura K,

[107] Yabuuchi H,

[108] et al

[109] 24.↵
O'Sullivan B
. Nasopharynx cancer: therapeutic value of chemoradiotherapy. Int J Radiat Oncol Biol Phys 2007;69:S118–21
PubMed

[110] O'Sullivan B

[111] 25.↵
Le Bihan D,
Breton E,
Lallemand D,
et al
. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168:497–505
PubMed Web of Science

[112] Le Bihan D,

[113] Breton E,

[114] Lallemand D,

[115] et al

[116] 26.↵
Yamada I,
Aung W,
Himeno Y,
et al
. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 1999;210:617–23
CrossRef PubMed Web of Science

[117] Yamada I,

[118] Aung W,

[119] Himeno Y,

[120] et al

[121] 27.↵
Hamstra DA,
Lee KC,
Moffat BA,
et al
. Diffusion magnetic resonance imaging: an imaging treatment response biomarker to chemoradiotherapy in a mouse model of squamous cell cancer of the head and neck. Transl Oncol 2008;1:187–94
PubMed

[122] Hamstra DA,

[123] Lee KC,

[124] Moffat BA,

[125] et al

[126] 28.↵
Ljumanovic R,
Langendijk JA,
van Wattingen M,
et al
. MR imaging predictors of local control of glottic squamous cell carcinoma treated with radiation alone. Radiology 2007;244:205–12
CrossRef PubMed

[127] Ljumanovic R,

[128] Langendijk JA,

[129] van Wattingen M,

[130] et al

[131] 29.↵
Cao Y,
Popovtzer A,
Li D,
et al
. Early prediction of outcome in advanced head-and-neck cancer based on tumor blood volume alterations during therapy: a prospective study. Int J Radiat Oncol Biol Phys 2008;72:1287–90
PubMed

[132] Cao Y,

[133] Popovtzer A,

[134] Li D,

[135] et al

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Apparent Diffusion Coefficient Calculated with Relatively High b-Values Correlates with Local Failure of Head and Neck Squamous Cell Carcinoma Treated with Radiotherapy

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