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M.-C. Lee, H. Tsai, K. Chuang, C.-K. Liu, M. Chen (2013)
Prediction of Nodal Metastasis in Head and Neck Cancer Using a 3T MRI ADC MapAmerican Journal of Neuroradiology, 34
A. Razek, Nermin Soliman, S. Elkhamary, Mousa Alsharaway, A. Tawfik (2006)
Role of diffusion-weighted MR imaging in cervical lymphadenopathyEuropean Radiology, 16
Yan Zhou, Hailei Gu, Xinli Zhang, Zhongge Tian, Xiao-Quan Xu, Wenwei Tang (2021)
Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancerEuropean Radiology, 32
A. Aiken, T. Rath, Y. Anzai, B. Branstetter, J. Hoang, R. Wiggins, A. Juliano, C. Glastonbury, C. Phillips, Richard Brown, P. Hudgins (2018)
ACR Neck Imaging Reporting and Data Systems (NI-RADS): A White Paper of the ACR NI-RADS Committee.Journal of the American College of Radiology : JACR, 15 8
M.M. Ashour, E. Darwish, R.M. Fahiem, T. Abdelaziz (2021)
MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS CriteriaAmerican Journal of Neuroradiology, 42
Brian Sullivan, K. Parks, N. Dean, E. Rosenthal, W. Carroll, J. Magnuson (2011)
Utility of CT surveillance for primary site recurrence of squamous cell carcinoma of the head and neckHead & Neck, 33
M. Hatakenaka, Katsumasa Nakamura, H. Yabuuchi, Y. Shioyama, Y. Matsuo, T. Kamitani, M. Yonezawa, T. Yoshiura, T. Nakashima, M. Mori, H. Honda (2014)
Apparent diffusion coefficient is a prognostic factor of head and neck squamous cell carcinoma treated with radiotherapyJapanese Journal of Radiology, 32
A. Srinivasan, T. Chenevert, B. Dwamena, A. Eisbruch, K. Watcharotone, J. Myles, S. Mukherji (2012)
Utility of Pretreatment Mean Apparent Diffusion Coefficient and Apparent Diffusion Coefficient Histograms in Prediction of Outcome to Chemoradiation in Head and Neck Squamous Cell CarcinomaJournal of Computer Assisted Tomography, 36
S. Vaid, A. Chandorkar, A. Atre, D. Shah, N. Vaid (2017)
Differentiating recurrent tumours from post-treatment changes in head and neck cancers: does diffusion-weighted MRI solve the eternal dilemma?Clinical radiology, 72 1
A. Stang (2010)
Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analysesEuropean Journal of Epidemiology, 25
J. Deeks, J. Dinnes, R. D'amico, A. Sowden, C. Sakarovitch, F. Song, M. Petticrew, D. Altman (2003)
Evaluating non-randomised intervention studies.Health technology assessment, 7 27
R. Riley, S. Burchill, K. Abrams, D. Heney, P. Lambert, David Jones, A. Sutton, Bridget Young, A. Wailoo, I. Lewis (2003)
A systematic review and evaluation of the use of tumour markers in paediatric oncology: Ewing's sarcoma and neuroblastoma.Health technology assessment, 7 5
A. Razek (2018)
Arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of recurrent head and neck cancer from post-radiation changes.The Journal of laryngology and otology, 132 10
D. Krieger, P. Hudgins, G. Nayak, K. Baugnon, A. Corey, M. Patel, J. Beitler, N. Saba, Y. Liu, A. Aiken (2017)
Initial Performance of NI-RADS to Predict Residual or Recurrent Head and Neck Squamous Cell CarcinomaAmerican Journal of Neuroradiology, 38
D. Vogel, P. Zbaeren, A. Geretschlaeger, P. Vermathen, F. Keyzer, H. Thoeny (2013)
Diffusion-weighted MR imaging including bi-exponential fitting for the detection of recurrent or residual tumour after (chemo)radiotherapy for laryngeal and hypopharyngeal cancersEuropean Radiology, 23
A. Razek, Gada Gaballa, G. Ashamalla, M. Alashry, N. Nada (2015)
Dynamic Susceptibility Contrast Perfusion-Weighted Magnetic Resonance Imaging and Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Recurrent Head and Neck Cancer From Postradiation ChangesJournal of Computer Assisted Tomography, 39
S. Kim, L. Loevner, H. Quon, E. Sherman, G. Weinstein, A. Kilger, Harish Poptani (2009)
Diffusion-Weighted Magnetic Resonance Imaging for Predicting and Detecting Early Response to Chemoradiation Therapy of Squamous Cell Carcinomas of the Head and NeckClinical Cancer Research, 15
Jialiang Wu, Fangrong Liang, Ruili Wei, Shengsheng Lai, Xiaofei Lv, Shiwei Luo, Zhe Wu, Huixian Chen, Wanli Zhang, Xian-Jun Zeng, X. Ye, Yong Wu, Xinhua Wei, Xinqing Jiang, X. Zhen, Ruimeng Yang (2021)
A Multiparametric MR-Based RadioFusionOmics Model with Robust Capabilities of Differentiating Glioblastoma Multiforme from Solitary Brain MetastasisCancers, 13
A. Jajodia, D. Aggarwal, A. Chaturvedi, A. Rao, V. Mahawar, M. Gairola, M. Agarwal, S. Goyal, V. Koyyala, S. Pasricha, R. Tripathi (2019)
Value of diffusion MR imaging in differentiation of recurrent head and neck malignancies from post treatment changes.Oral oncology, 96
MJ. Page, JE. McKenzie, PM. Bossuyt (2021)
The PRISMA 2020 statement: an updated guideline for reporting systematic reviewsBMJ, 372
M. Becker, A. Varoquaux, C. Combescure, O. Rager, M. Pusztaszeri, K. Burkhardt, B. Delattre, P. Dulguerov, N. Dulguerov, Eirini Katirtzidou, F. Caparrotti, O. Ratib, H. Zaidi, C. Becker (2017)
Local recurrence of squamous cell carcinoma of the head and neck after radio(chemo)therapy: Diagnostic performance of FDG-PET/MRI with diffusion-weighted sequencesEuropean Radiology, 28
M. Isles, C. McConkey, H. Mehanna (2008)
A systematic review and meta‐analysis of the role of positron emission tomography in the follow up of head and neck squamous cell carcinoma following radiotherapy or chemoradiotherapyClinical Otolaryngology, 33
N. Saito, R. Nadgir, M. Nakahira, Masahiro Takahashi, A. Uchino, Fumiko Kimura, M. Truong, O. Sakai (2012)
Posttreatment CT and MR imaging in head and neck cancer: what the radiologist needs to know.Radiographics : a review publication of the Radiological Society of North America, Inc, 32 5
R. Hermans (2008)
Posttreatment imaging in head and neck cancer.European journal of radiology, 66 3
A. Srinivasan, R. Dvorak, K. Perni, S. Rohrer, S. Mukherji (2008)
Differentiation of Benign and Malignant Pathology in the Head and Neck Using 3T Apparent Diffusion Coefficient Values: Early ExperienceAmerican Journal of Neuroradiology, 29
D. She, S. Lin, W. Guo, Y. Zhang, Z. Zhang, D. Cao (2021)
Grading of Pediatric Intracranial Tumors: Are Intravoxel Incoherent Motion and Diffusional Kurtosis Imaging Superior to Conventional DWI?American Journal of Neuroradiology, 42
M. Page, J. McKenzie, P. Bossuyt, I. Boutron, T. Hoffmann, C. Mulrow, Larissa Shamseer, J. Tetzlaff, E. Akl, S. Brennan, R. Chou, Julie Glanville, J. Grimshaw, A. Hrõbjartsson, M. Lalu, Tianjing Li, E. Loder, E. Mayo-Wilson, Steve McDonald, L. McGuinness, L. Stewart, James Thomas, A. Tricco, V. Welch, P. Whiting, D. Moher (2020)
The PRISMA 2020 statement: an updated guideline for reporting systematic reviewsSystematic Reviews, 10
V. Vandecaveye, F. Keyzer, V. Poorten, P. Dirix, E. Verbeken, S. Nuyts, R. Hermans (2009)
Head and neck squamous cell carcinoma: value of diffusion-weighted MR imaging for nodal staging.Radiology, 251 1
A. Ailianou, P. Mundada, T. Perrot, M. Pusztaszieri, P. Poletti, M. Becker (2018)
MRI with DWI for the Detection of Posttreatment Head and Neck Squamous Cell Carcinoma: Why Morphologic MRI Criteria MatterAmerican Journal of Neuroradiology, 39
Wen-hui Huang, Jing Liu, Bin Zhang, Long Liang, X. Luo, Y. Mei, Shuixing Zhang (2019)
Potential value of non-echo-planar diffusion-weighted imaging of the nasopharynx: a primary study for differential diagnosis between recurrent nasopharyngeal carcinoma and post-chemoradiation fibrosisActa Radiologica, 60
A. Baba, H. Ojiri, K. Ikeda, H. Yamauchi, Nobuhiro Ogino, Y. Seto, Y. Kobashi, S. Yamazoe, T. Mogami (2018)
Essentials on Oncological Imaging: Postoperative Computed Tomography and Magnetic Resonance Imaging of Oral Tongue CancerCanadian Association of Radiologists Journal, 69
A. Surov, H. Meyer, A. Wienke (2020)
Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-AnalysisFrontiers in Oncology, 9
S. Strauss, A. Aiken, J. Lantos, C. Phillips (2021)
Best Practices: Application of NI-RADS for Posttreatment Surveillance Imaging of Head and Neck CancerAmerican Journal of Roentgenology
S. Thust, J. Maynard, M. Benenati, S. Wastling, L. Mancini, Z. Jaunmuktane, S. Brandner, H. Jäger (2021)
Regional and Volumetric Parameters for Diffusion-Weighted WHO Grade II and III Glioma Genotyping: A Method ComparisonAmerican Journal of Neuroradiology, 42
Chen Wang, Lidong Liu, Shaolv Lai, D. Su, Younan Liu, Guanqiao Jin, Xuna Zhu, Ningbin Luo (2018)
Diagnostic value of diffusion-weighted magnetic resonance imaging for local and skull base recurrence of nasopharyngeal carcinoma after radiotherapyMedicine, 97
I. Hwang, S. Choi, Young Kim, K. Kim, A. Lee, T. Yun, J. Kim, C. Sohn (2013)
Differentiation of Recurrent Tumor and Posttreatment Changes in Head and Neck Squamous Cell Carcinoma: Application of High b-Value Diffusion-Weighted ImagingAmerican Journal of Neuroradiology, 34
BACKGROUND: Previous studies reported that the ADC values of recurrent head and neck cancer lesions are lower than those of posttreatment changes, however, the utility of ADC to differentiate them has not been definitively summarized and established. PURPOSE: Our aim was to evaluate the diagnostic benefit of ADC calculated from diffusion-weighted imaging in differentiating recurrent lesions from posttreatment changes in head and neck cancer. DATA SOURCES: MEDLINE, Scopus, and EMBASE data bases were searched for studies. STUDY SELECTION: The review identified 6 prospective studies with a total of 365 patients (402 lesions) who were eligible for the meta-analysis. DATA ANALYSIS: Forest plots were used to assess the mean difference in ADC values. Heterogeneity among the studies was evaluated using the Cochrane Q test and the I 2 statistic. DATA SYNTHESIS: Among included studies, the overall mean of ADC values of recurrent lesions was 1.03 × 10 −3 mm 2 /s and that of the posttreatment changes was 1.51 × 10 −3 mm 2 /s. The ADC value of recurrence was significantly less than that of posttreatment changes in head and neck cancer (pooled mean difference: −0.45; 95% CI, −0.59–0.32, P < .0001) with heterogeneity among studies. The threshold of ADC values between recurrent lesions and posttreatment changes was suggested to be 1.10 × 10 −3 mm 2 /s. LIMITATIONS: Given the heterogeneity of the data of the study, the conclusions should be interpreted with caution. CONCLUSIONS: The ADC values in recurrent head and neck cancers are lower than those of posttreatment changes, and the threshold of ADC values between them was suggested.
American Journal of Neuroradiology – American Journal of Neuroradiology
Published: Mar 1, 2022
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