Literature DB >> 21778248

Apparent diffusion coefficient calculated with relatively high b-values correlates with local failure of head and neck squamous cell carcinoma treated with radiotherapy.

M Hatakenaka1, Y Shioyama, K Nakamura, H Yabuuchi, Y Matsuo, S Sunami, T Kamitani, T Yoshiura, T Nakashima, K Nishikawa, H Honda.   

Abstract

BACKGROUND AND
PURPOSE: Few studies have investigated the relationship between ADC and clinical outcome in HNSCC. Our hypothesis has that relatively high pretreatment ADC would correlate with local failure of HNSCC treated with radiation therapy.
MATERIALS AND METHODS: This includes prospective and validation studies. Seventeen patients treated with radiation therapy for primary HNSCC completed the prospective study. Variables considered to affect local failure including MR imaging-related parameters such as ADC and its change ratio were compared between patients with local failure and controls, and those showing difference or association with local failure were further tested by survival analysis. Furthermore, variables were analyzed in 40 patients enrolled in the validation study.
RESULTS: Relatively high ADC calculated with b-values (300, 500, 750, and 1000 s/mm(2)) before treatment, high ADC increase ratio, and treatment method (chemoradiotherapy versus radiation therapy alone) revealed significant difference between patients with local failure and controls or association with local failure. In Cox proportional hazard testing, high ADC before treatment alone showed significant association with local failure (P = .0186). In the validation study, tumor volume before treatment, high ADC before treatment, T stage (T12 versus T34), and treatment method showed significance. Tumor volume before treatment (P = .0217) and high ADC before treatment (P = .0001) revealed significant association with local failure in Cox proportional hazard testing. High ADC before treatment was superior to tumor volume before treatment regarding association with local failure.
CONCLUSIONS: These results suggest pretreatment ADC obtained at high b-values as well as tumor volume correlate with local failure of HNSCC treated with radiation therapy.

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Year:  2011        PMID: 21778248      PMCID: PMC7965986          DOI: 10.3174/ajnr.A2610

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  29 in total

1.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
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2.  Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients.

Authors:  Dow-Mu Koh; Erica Scurr; David Collins; Baris Kanber; Andrew Norman; Martin O Leach; Janet E Husband
Journal:  AJR Am J Roentgenol       Date:  2007-04       Impact factor: 3.959

3.  Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response.

Authors:  Bradford A Moffat; Thomas L Chenevert; Theodore S Lawrence; Charles R Meyer; Timothy D Johnson; Qian Dong; Christina Tsien; Suresh Mukherji; Douglas J Quint; Stephen S Gebarski; Patricia L Robertson; Larry R Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-01       Impact factor: 11.205

4.  Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis.

Authors:  Shuichi Higano; Xia Yun; Toshihiro Kumabe; Mika Watanabe; Shunji Mugikura; Atsushi Umetsu; Akihiro Sato; Takayuki Yamada; Shoki Takahashi
Journal:  Radiology       Date:  2006-10-10       Impact factor: 11.105

5.  Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging.

Authors:  Ryuji Murakami; Takeshi Sugahara; Hideo Nakamura; Toshinori Hirai; Mika Kitajima; Yoshiko Hayashida; Yuji Baba; Natsuo Oya; Jun-Ichi Kuratsu; Yasuyuki Yamashita
Journal:  Radiology       Date:  2007-03-13       Impact factor: 11.105

6.  Diffusion magnetic resonance imaging: an imaging treatment response biomarker to chemoradiotherapy in a mouse model of squamous cell cancer of the head and neck.

Authors:  Daniel A Hamstra; Kuei C Lee; Bradford A Moffat; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Transl Oncol       Date:  2008-12       Impact factor: 4.243

7.  Apparent diffusion coefficients of breast tumors: clinical application.

Authors:  Masamitsu Hatakenaka; Hiroyasu Soeda; Hidetake Yabuuchi; Yoshio Matsuo; Takeshi Kamitani; Yoshinao Oda; Masazumi Tsuneyoshi; Hiroshi Honda
Journal:  Magn Reson Med Sci       Date:  2008       Impact factor: 2.471

8.  MR imaging predictors of local control of glottic squamous cell carcinoma treated with radiation alone.

Authors:  Redina Ljumanovic; Johannes A Langendijk; Menno van Wattingen; Barry Schenk; Dirk L Knol; C René Leemans; Jonas A Castelijns
Journal:  Radiology       Date:  2007-07       Impact factor: 11.105

Review 9.  Nasopharynx cancer: therapeutic value of chemoradiotherapy.

Authors:  Brian O'Sullivan
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10.  Diagnostic ability of apparent diffusion coefficients for lymphomas and carcinomas in the pharynx.

Authors:  Misa Sumi; Yoko Ichikawa; Takashi Nakamura
Journal:  Eur Radiol       Date:  2007-02-16       Impact factor: 7.034

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  17 in total

1.  Apparent diffusion coefficient is a prognostic factor of head and neck squamous cell carcinoma treated with radiotherapy.

Authors:  Masamitsu Hatakenaka; Katsumasa Nakamura; Hidetake Yabuuchi; Yoshiyuki Shioyama; Yoshio Matsuo; Takeshi Kamitani; Masato Yonezawa; Takashi Yoshiura; Torahiko Nakashima; Mitsuru Mori; Hiroshi Honda
Journal:  Jpn J Radiol       Date:  2014-01-10       Impact factor: 2.374

2.  Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers.

Authors:  Feifei Teng; Madhava Aryal; Jae Lee; Choonik Lee; Xioajin Shen; Peter G Hawkins; Michelle Mierzwa; Avraham Eisbruch; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-21       Impact factor: 7.038

Review 3.  Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers.

Authors:  Jing Yuan; Gladys Lo; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2016-08

4.  Diffusion-Weighted Imaging of Nasopharyngeal Carcinoma: Can Pretreatment DWI Predict Local Failure Based on Long-Term Outcome?

Authors:  B K H Law; A D King; K S Bhatia; A T Ahuja; M K M Kam; B B Ma; Q Y Ai; F K F Mo; J Yuan; D K W Yeung
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-05       Impact factor: 3.825

5.  Combining standardized uptake value of FDG-PET and apparent diffusion coefficient of DW-MRI improves risk stratification in head and neck squamous cell carcinoma.

Authors:  Lorenzo Preda; Giorgio Conte; Luke Bonello; Caterina Giannitto; Laura L Travaini; Sara Raimondi; Paul E Summers; Ansarin Mohssen; Daniela Alterio; Maria Cossu Rocca; Chiara Grana; Francesca Ruju; Massimo Bellomi
Journal:  Eur Radiol       Date:  2016-03-10       Impact factor: 5.315

6.  Diffusion-weighted imaging of nasopharyngeal carcinoma to predict distant metastases.

Authors:  Qi-Yong Ai; Ann D King; Benjamin King Hong Law; David Ka-Wai Yeung; Kunwar S Bhatia; Jing Yuan; Anil T Ahuja; Lok Yiu Sheila Wong; Brigette B Ma; Frankie Kwok Fai Mo; Michael K M Kam
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-10-08       Impact factor: 2.503

7.  Utility of diffusion-weighted magnetic resonance imaging in predicting the treatment response of nasopharyngeal carcinoma.

Authors:  Thidaporn Tangyoosuk; Chawalit Lertbutsayanukul; Nutchawan Jittapiromsak
Journal:  Neuroradiol J       Date:  2021-11-03

8.  Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma: a retrospective study of 541 cases.

Authors:  Yuan Zhang; Xu Liu; Yun Zhang; Wen-Fei Li; Lei Chen; Yan-Ping Mao; Jing-Xian Shen; Fan Zhang; Hao Peng; Qing Liu; Ying Sun; Jun Ma
Journal:  Sci Rep       Date:  2015-07-17       Impact factor: 4.379

Review 9.  Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations.

Authors:  Ann D King; Harriet C Thoeny
Journal:  Cancer Imaging       Date:  2016-08-19       Impact factor: 3.909

Review 10.  Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.

Authors:  Sara Leibfarth; René M Winter; Heidi Lyng; Daniel Zips; Daniela Thorwarth
Journal:  Clin Transl Radiat Oncol       Date:  2018-09-20
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