Literature DB >> 23811978

Differentiation of recurrent tumor and posttreatment changes in head and neck squamous cell carcinoma: application of high b-value diffusion-weighted imaging.

I Hwang1, S H Choi, Y-J Kim, K G Kim, A L Lee, T J Yun, J-h Kim, C-H Sohn.   

Abstract

BACKGROUND AND
PURPOSE: High b-value DWI has been expected to have an additional diagnostic role and demonstrated some promising results in head and neck cancer. The aim of this study was to evaluate the diagnostic performance of DWI at a high b-value (b=2000 s/mm(2)) compared with a standard b-value (b=1000 s/mm(2)) and the ratio of ADC values of high and standard b-values for their ability to differentiate between recurrent tumor and posttreatment changes after the treatment of head and neck squamous cell carcinoma.
MATERIALS AND METHODS: A total of 33 patients diagnosed with head and neck squamous cell carcinoma were enrolled in the present study; all had contrast-enhancing lesions on follow-up MR imaging. All patients underwent single-shot echo-planar DWI at b=1000 s/mm(2) and b=2000 s/mm(2), and corresponding ADC maps were generated (ADC1000 and ADC2000, respectively). The mean ADC1000, ADC2000, and ADCratio (ADCratio = ADC2000/ADC1000 × 100) values were evaluated within a manually placed ROI with contrast-enhanced T1-weighted images as references. For the statistical analysis, we performed a Student t test and multivariate logistic regression.
RESULTS: The mean ADC1000 in recurrent tumor was significantly lower than that in posttreatment changes (P < .001), whereas the mean ADC2000 resulted in no significant difference (P = .365). The mean ADCratio was significantly higher in recurrent tumor than that in posttreatment changes (73.5 ± 7.2% vs 56.9 ± 8.8%, respectively; P < .001). Multivariate logistic regression analysis revealed that the ADCratio was the only independently differentiating variable (P = .024). The sensitivity, specificity, and accuracy of ADCratio were 95.0%, 69.2%, and 84.8%, respectively, by use of the optimal cutoff value of 62.6%.
CONCLUSIONS: We suggest that the ADCratio calculated from the ADC1000 and ADC2000 is a promising value for the differentiation of recurrent tumor and posttreatment changes in head and neck squamous cell carcinoma.

Entities:  

Mesh:

Year:  2013        PMID: 23811978      PMCID: PMC7965197          DOI: 10.3174/ajnr.A3603

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


  30 in total

1.  High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features.

Authors:  M C DeLano; T G Cooper; J E Siebert; M J Potchen; K Kuppusamy
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

2.  Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging.

Authors:  S E Maier; P Bogner; G Bajzik; H Mamata; Y Mamata; I Repa; F A Jolesz; R V Mulkern
Journal:  Radiology       Date:  2001-06       Impact factor: 11.105

3.  Evidence that both fast and slow water ADC components arise from intracellular space.

Authors:  Jonathan V Sehy; Joseph J H Ackerman; Jeffrey J Neil
Journal:  Magn Reson Med       Date:  2002-11       Impact factor: 4.668

4.  Contribution of high-b-value diffusion-weighted imaging in determination of brain ischemia in transient ischemic attack patients.

Authors:  Francisco Purroy; Robert Begue; Alejandro Quílez; Jordi Sanahuja; Maria Isabel Gil
Journal:  J Neuroimaging       Date:  2012-02-06       Impact factor: 2.486

5.  Detection of head and neck squamous cell carcinoma with diffusion weighted MRI after (chemo)radiotherapy: correlation between radiologic and histopathologic findings.

Authors:  Vincent Vandecaveye; Frederik De Keyzer; Sandra Nuyts; Karen Deraedt; Piet Dirix; Pascal Hamaekers; Vincent Vander Poorten; Pierre Delaere; Robert Hermans
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-12-04       Impact factor: 7.038

6.  Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging.

Authors:  Akio Ogura; Katsumi Hayakawa; Tosiaki Miyati; Fumie Maeda
Journal:  Eur J Radiol       Date:  2009-07-31       Impact factor: 3.528

7.  Water diffusion compartmentation and anisotropy at high b values in the human brain.

Authors:  C A Clark; D Le Bihan
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

8.  Usefulness of the apparent diffusion coefficient in line scan diffusion-weighted imaging for distinguishing between squamous cell carcinomas and malignant lymphomas of the head and neck.

Authors:  Masayuki Maeda; Hiroya Kato; Hajime Sakuma; Stephan E Maier; Kan Takeda
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

9.  Water diffusion compartmentation at high b values in ischemic human brain.

Authors:  Pierre Brugières; Philippe Thomas; Anne Maraval; Hassan Hosseini; Catherine Combes; Abdallah Chafiq; Lucile Ruel; Stéphane Breil; Marc Peschanski; André Gaston
Journal:  AJNR Am J Neuroradiol       Date:  2004-05       Impact factor: 3.825

10.  Role of diffusion-weighted echo-planar MR imaging in differentiation of residual or recurrent head and neck tumors and posttreatment changes.

Authors:  A A K Abdel Razek; A Y Kandeel; N Soliman; H M El-shenshawy; Y Kamel; N Nada; A Denewar
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

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  15 in total

1.  Use of diffusion-weighted imaging (DWI) in PET/MRI for head and neck cancer evaluation.

Authors:  Marcelo A Queiroz; Martin Hüllner; Felix Kuhn; Gerhardt Huber; Christian Meerwein; Spyros Kollias; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08-05       Impact factor: 9.236

Review 2.  Head and neck reconstructive surgery: what the radiologist needs to know.

Authors:  Faiz Syed; Matthew E Spector; Rebecca Cornelius; Ashok Srinivasan
Journal:  Eur Radiol       Date:  2016-01-20       Impact factor: 5.315

3.  ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis.

Authors:  A Baba; R Kurokawa; M Kurokawa; O Hassan; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

4.  Normalized Parameters of Dynamic Contrast-Enhanced Perfusion MRI and DWI-ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer.

Authors:  A Baba; R Kurokawa; E Rawie; M Kurokawa; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-07-14       Impact factor: 4.966

5.  Adding MR Diffusion Imaging and T2 Signal Intensity to Neck Imaging Reporting and Data System Categories 2 and 3 in Primary Sites of Postsurgical Oral Cavity Carcinoma Provides Incremental Diagnostic Value.

Authors:  A Jajodia; G Mandal; V Yadav; J Khoda; J Goyal; S Pasricha; S Puri; A Dewan
Journal:  AJNR Am J Neuroradiol       Date:  2022-06-23       Impact factor: 4.966

6.  High b-Value Diffusion MRI to Differentiate Recurrent Tumors from Posttreatment Changes in Head and Neck Squamous Cell Carcinoma: A Single Center Prospective Study.

Authors:  Angela Acampora; Gaetana Manzo; Giacomo Fenza; Giuseppina Busto; Antonietta Serino; Andrea Manto
Journal:  Biomed Res Int       Date:  2016-06-07       Impact factor: 3.411

Review 7.  Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with head and neck tumors, a systematic review and meta-analysis.

Authors:  Anouk van der Hoorn; Peter Jan van Laar; Gea A Holtman; Henriette E Westerlaan
Journal:  PLoS One       Date:  2017-05-24       Impact factor: 3.240

8.  Magnetic resonance imaging: dynamic contrast enhancement and diffusion-weighted imaging to identify malignant cervical lymph nodes.

Authors:  Murilo Bicudo Cintra; Hilton Ricz; Mahmood F Mafee; Antonio Carlos Dos Santos
Journal:  Radiol Bras       Date:  2018 Mar-Apr

9.  Inter- and intra-observer reproducibility of ADC measurements in esophageal carcinoma primary tumors.

Authors:  Zhimin Ye; Jun Fang; Shujun Dai; Tieming Xie; Fangzheng Wang; Zhun Wang; Kai Li; Zhenfu Fu; Yuezhen Wang
Journal:  Oncotarget       Date:  2017-10-06

Review 10.  Functional MRI for Treatment Evaluation in Patients with Head and Neck Squamous Cell Carcinoma: A Review of the Literature from a Radiologist Perspective.

Authors:  Roland P Nooij; Jan J Hof; Peter Jan van Laar; Anouk van der Hoorn
Journal:  Curr Radiol Rep       Date:  2018-01-22
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