Detailed characterization of the early response of head-neck cancer xenografts to irradiation using 18F-FDG-PET imaging

Jiayi Huang, John L. Chunta, Mitual Amin, David Y. Lee, Inga S. Grills, Ching Yee Oliver Wong, Di Yan, Brian Marples, Alvaro A. Martinez, George D. Wilson

Research output: Contribution to journalArticle

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Abstract

Purpose: To investigate the metabolic information provided by 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) during the early response of head-and-neck squamous cell carcinoma (HNSCC) xenografts to radiotherapy (RT). Methods and Materials: Low-passage HNSCC cells (UT14) were injected into the rear flanks of female nu/nu mice to generate xenografts. After tumors grew to 400-500 mm 3, they were treated with either 15 Gy in one fraction (n = 18) or sham RT (n = 12). At various time points after treatment, tumors were assessed with 2-h dynamic FDG-PET and immediately harvested for direct histological correlation. Different analytical parameters were used to process the dynamic PET data: kinetic index (Ki), standard uptake value (SUV), sensitivity factor (SF), and retention index (RI). Tumor growth was assessed using the specific growth rate (SGR) and correlated with PET parameters using the Pearson correlation coefficient (r). Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) were used to test PET parameters for their ability to predict for radiation necrosis and radiation change. Results: Tumor growth was arrested for the first 20 days after RT and recovered thereafter. Histologically, radiation change was observed in the peripheral regions of tumors between days 7 and 23 after RT, and radiation necrosis were observed in the central regions of tumors between days 7 and 40. Ki provided the best correlation with SGR (r = 0.51) and was the optimal parameter to predict for early radiation necrosis (AUC = 0.804, p = 0.07). SUV 30 min was the strongest predictor for late radiation necrosis (AUC = 0.959, p = 0.004). Both RI 30-60min and SF 12-70 min were very accurate in predicting for radiation change (AUC = 0.891 and 0.875, p = 0.009 and 0.01, respectively). Conclusions: Dynamic FDG-PET analysis (such as Ki or SF) may provide informative assessment of early radiation necrosis or radiation change of HNSCC xenografts after RT.

Original languageEnglish (US)
Pages (from-to)485-491
Number of pages7
JournalInternational Journal of Radiation Oncology Biology Physics
Volume84
Issue number2
DOIs
StatePublished - Oct 1 2012
Externally publishedYes

Fingerprint

Fluorodeoxyglucose F18
Head and Neck Neoplasms
Heterografts
Positron-Emission Tomography
positrons
tomography
cancer
Radiation
necrosis
irradiation
ROC Curve
radiation
tumors
radiation therapy
Necrosis
Radiotherapy
Area Under Curve
Neoplasms
curves
Growth

Keywords

  • FDG-PET
  • Kinetic index
  • Monitoring treatment response
  • Radiotherapy
  • Sensitivity factor

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Cite this

Detailed characterization of the early response of head-neck cancer xenografts to irradiation using 18F-FDG-PET imaging. / Huang, Jiayi; Chunta, John L.; Amin, Mitual; Lee, David Y.; Grills, Inga S.; Wong, Ching Yee Oliver; Yan, Di; Marples, Brian; Martinez, Alvaro A.; Wilson, George D.

In: International Journal of Radiation Oncology Biology Physics, Vol. 84, No. 2, 01.10.2012, p. 485-491.

Research output: Contribution to journalArticle

Huang, Jiayi ; Chunta, John L. ; Amin, Mitual ; Lee, David Y. ; Grills, Inga S. ; Wong, Ching Yee Oliver ; Yan, Di ; Marples, Brian ; Martinez, Alvaro A. ; Wilson, George D. / Detailed characterization of the early response of head-neck cancer xenografts to irradiation using 18F-FDG-PET imaging. In: International Journal of Radiation Oncology Biology Physics. 2012 ; Vol. 84, No. 2. pp. 485-491.
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abstract = "Purpose: To investigate the metabolic information provided by 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) during the early response of head-and-neck squamous cell carcinoma (HNSCC) xenografts to radiotherapy (RT). Methods and Materials: Low-passage HNSCC cells (UT14) were injected into the rear flanks of female nu/nu mice to generate xenografts. After tumors grew to 400-500 mm 3, they were treated with either 15 Gy in one fraction (n = 18) or sham RT (n = 12). At various time points after treatment, tumors were assessed with 2-h dynamic FDG-PET and immediately harvested for direct histological correlation. Different analytical parameters were used to process the dynamic PET data: kinetic index (Ki), standard uptake value (SUV), sensitivity factor (SF), and retention index (RI). Tumor growth was assessed using the specific growth rate (SGR) and correlated with PET parameters using the Pearson correlation coefficient (r). Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) were used to test PET parameters for their ability to predict for radiation necrosis and radiation change. Results: Tumor growth was arrested for the first 20 days after RT and recovered thereafter. Histologically, radiation change was observed in the peripheral regions of tumors between days 7 and 23 after RT, and radiation necrosis were observed in the central regions of tumors between days 7 and 40. Ki provided the best correlation with SGR (r = 0.51) and was the optimal parameter to predict for early radiation necrosis (AUC = 0.804, p = 0.07). SUV 30 min was the strongest predictor for late radiation necrosis (AUC = 0.959, p = 0.004). Both RI 30-60min and SF 12-70 min were very accurate in predicting for radiation change (AUC = 0.891 and 0.875, p = 0.009 and 0.01, respectively). Conclusions: Dynamic FDG-PET analysis (such as Ki or SF) may provide informative assessment of early radiation necrosis or radiation change of HNSCC xenografts after RT.",
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AU - Huang, Jiayi

AU - Chunta, John L.

AU - Amin, Mitual

AU - Lee, David Y.

AU - Grills, Inga S.

AU - Wong, Ching Yee Oliver

AU - Yan, Di

AU - Marples, Brian

AU - Martinez, Alvaro A.

AU - Wilson, George D.

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N2 - Purpose: To investigate the metabolic information provided by 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) during the early response of head-and-neck squamous cell carcinoma (HNSCC) xenografts to radiotherapy (RT). Methods and Materials: Low-passage HNSCC cells (UT14) were injected into the rear flanks of female nu/nu mice to generate xenografts. After tumors grew to 400-500 mm 3, they were treated with either 15 Gy in one fraction (n = 18) or sham RT (n = 12). At various time points after treatment, tumors were assessed with 2-h dynamic FDG-PET and immediately harvested for direct histological correlation. Different analytical parameters were used to process the dynamic PET data: kinetic index (Ki), standard uptake value (SUV), sensitivity factor (SF), and retention index (RI). Tumor growth was assessed using the specific growth rate (SGR) and correlated with PET parameters using the Pearson correlation coefficient (r). Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) were used to test PET parameters for their ability to predict for radiation necrosis and radiation change. Results: Tumor growth was arrested for the first 20 days after RT and recovered thereafter. Histologically, radiation change was observed in the peripheral regions of tumors between days 7 and 23 after RT, and radiation necrosis were observed in the central regions of tumors between days 7 and 40. Ki provided the best correlation with SGR (r = 0.51) and was the optimal parameter to predict for early radiation necrosis (AUC = 0.804, p = 0.07). SUV 30 min was the strongest predictor for late radiation necrosis (AUC = 0.959, p = 0.004). Both RI 30-60min and SF 12-70 min were very accurate in predicting for radiation change (AUC = 0.891 and 0.875, p = 0.009 and 0.01, respectively). Conclusions: Dynamic FDG-PET analysis (such as Ki or SF) may provide informative assessment of early radiation necrosis or radiation change of HNSCC xenografts after RT.

AB - Purpose: To investigate the metabolic information provided by 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) during the early response of head-and-neck squamous cell carcinoma (HNSCC) xenografts to radiotherapy (RT). Methods and Materials: Low-passage HNSCC cells (UT14) were injected into the rear flanks of female nu/nu mice to generate xenografts. After tumors grew to 400-500 mm 3, they were treated with either 15 Gy in one fraction (n = 18) or sham RT (n = 12). At various time points after treatment, tumors were assessed with 2-h dynamic FDG-PET and immediately harvested for direct histological correlation. Different analytical parameters were used to process the dynamic PET data: kinetic index (Ki), standard uptake value (SUV), sensitivity factor (SF), and retention index (RI). Tumor growth was assessed using the specific growth rate (SGR) and correlated with PET parameters using the Pearson correlation coefficient (r). Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) were used to test PET parameters for their ability to predict for radiation necrosis and radiation change. Results: Tumor growth was arrested for the first 20 days after RT and recovered thereafter. Histologically, radiation change was observed in the peripheral regions of tumors between days 7 and 23 after RT, and radiation necrosis were observed in the central regions of tumors between days 7 and 40. Ki provided the best correlation with SGR (r = 0.51) and was the optimal parameter to predict for early radiation necrosis (AUC = 0.804, p = 0.07). SUV 30 min was the strongest predictor for late radiation necrosis (AUC = 0.959, p = 0.004). Both RI 30-60min and SF 12-70 min were very accurate in predicting for radiation change (AUC = 0.891 and 0.875, p = 0.009 and 0.01, respectively). Conclusions: Dynamic FDG-PET analysis (such as Ki or SF) may provide informative assessment of early radiation necrosis or radiation change of HNSCC xenografts after RT.

KW - FDG-PET

KW - Kinetic index

KW - Monitoring treatment response

KW - Radiotherapy

KW - Sensitivity factor

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