Literature DB >> 22997167

Prediction of nodal metastasis in head and neck cancer using a 3T MRI ADC map.

M-C Lee1, H-Y Tsai, K-S Chuang, C-K Liu, M-K Chen.   

Abstract

BACKGROUND AND
PURPOSE: The detection of cervical nodal metastases is important for the prognosis and treatment of head and neck tumors. The purpose of this study was to assess the ability of ADC values at 3T to distinguish malignant from benign lymph nodes.
MATERIALS AND METHODS: From July 2009 to June 2010, twenty-two patients (21 men and 1 woman; mean age, 49.8±9.5 years; age range, 28-66 years) scheduled for surgical treatment of biopsy-proved head and neck cancer were prospectively and consecutively enrolled in this study. All patients were scanned on a 3T imaging unit (Verio) by using a 12-channel head coil combined with a 4-channel neck coil. Histologic findings were the reference standard for the diagnosis of lymph node metastasis.
RESULTS: The ADC values derived from the signal intensity averaged across images obtained with b-values of 0 and 800 s/mm2 were 1.086±0.222×10(-3) mm2/s for benign lymph nodes and 0.705±0.118×10(-3) mm2/s for malignant lymph nodes (P<.0001). When an ADC value of 0.851×10(-3) mm2/s was used as a threshold value for differentiating benign from malignant lymph nodes, the best results were obtained with an accuracy of 91.0%, sensitivity of 91.3%, and specificity of 91.1%.
CONCLUSIONS: The ADC value is a sensitive and specific parameter that can help to differentiate malignant from benign lymph nodes.

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Year:  2012        PMID: 22997167      PMCID: PMC7964471          DOI: 10.3174/ajnr.A3281

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


  22 in total

1.  Which kinds of lymph node metastases can FDG PET detect? A clinical study in melanoma.

Authors:  F Crippa; M Leutner; F Belli; F Gallino; M Greco; S Pilotti; N Cascinelli; E Bombardieri
Journal:  J Nucl Med       Date:  2000-09       Impact factor: 10.057

Review 2.  Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Authors:  Harriet C Thoeny; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

3.  Detection of lymph node metastases in the neck: radiologic criteria.

Authors:  M W van den Brekel; J A Castelijns; G B Snow
Journal:  Radiology       Date:  1994-09       Impact factor: 11.105

4.  Ferumoxtran-10, a superparamagnetic iron oxide as a magnetic resonance enhancement agent for imaging lymph nodes: a phase 2 dose study.

Authors:  Patricia A Hudgins; Yoshimi Anzai; Marie R Morris; Maria A Lucas
Journal:  AJNR Am J Neuroradiol       Date:  2002-04       Impact factor: 3.825

5.  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

6.  Diffusion-weighted MRI in cervical lymph nodes: differentiation between benign and malignant lesions.

Authors:  Anna Perrone; Pietro Guerrisi; Luciano Izzo; Ilaria D'Angeli; Simona Sassi; Luigi Lo Mele; Marina Marini; Dario Mazza; Mario Marini
Journal:  Eur J Radiol       Date:  2009-08-28       Impact factor: 3.528

7.  Differentiation of benign and malignant pathology in the head and neck using 3T apparent diffusion coefficient values: early experience.

Authors:  A Srinivasan; R Dvorak; K Perni; S Rohrer; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2007-10-05       Impact factor: 3.825

8.  Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer.

Authors:  Misa Sumi; Noriyuki Sakihama; Tadateru Sumi; Minoru Morikawa; Masataka Uetani; Hiroyuki Kabasawa; Koichiro Shigeno; Kuniaki Hayashi; Haruo Takahashi; Takashi Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2003-09       Impact factor: 3.825

9.  Malignant cervical lymphadenopathy: diagnostic accuracy of diffusion-weighted MR imaging.

Authors:  Ann D King; Anil T Ahuja; David K W Yeung; Devin K Y Fong; Yolanda Y P Lee; Kenny I K Lei; Gary M K Tse
Journal:  Radiology       Date:  2007-10-02       Impact factor: 11.105

10.  Spin lock and magnetization transfer imaging of head and neck tumors.

Authors:  A T Markkola; H J Aronen; T Paavonen; E Hopsu; L M Sipilä; J I Tanttu; R E Sepponen
Journal:  Radiology       Date:  1996-08       Impact factor: 11.105

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  9 in total

1.  Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Alexandria Brackett; Reza Forghani; Ajay Malhotra
Journal:  Neuroradiology       Date:  2019-06-07       Impact factor: 2.804

2.  Multimodality oncologic evaluation of superficial neck and facial lymph nodes.

Authors:  Reza Assadsangabi; Rosa Babaei; Catherine Songco; Vladimir Ivanovic; Matthew Bobinski; Yin J Chen; Seyed Ali Nabavizadeh
Journal:  Radiol Med       Date:  2021-05-16       Impact factor: 3.469

3.  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

4.  Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer.

Authors:  Ming-Che Lee; Keh-Shih Chuang; Mu-Kuan Chen; Chi-Kuang Liu; Kwo-Whei Lee; Hui-Yu Tsai; Hsin-Hon Lin
Journal:  Br J Radiol       Date:  2016-05-11       Impact factor: 3.039

5.  Heterogeneity analysis of diffusion-weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal cancer patients.

Authors:  Manijeh Beigi; Anahita Fathi Kazerooni; Mojtaba Safari; Marzieh Alamolhoda; Mohsen Shojaee Moghdam; Shiva Moghadam; Hamidreza SalighehRad; Ahmad Ameri
Journal:  Radiol Med       Date:  2017-09-15       Impact factor: 3.469

Review 6.  Current Standards for Organ Preservation in Locoregionally Advanced Non-nasopharyngeal Head and Neck Cancer and Evolving Strategies for Favorable-Risk and Platinum-Ineligible Populations.

Authors:  Susan Y Wu; Sue S Yom
Journal:  Curr Treat Options Oncol       Date:  2019-12-04

7.  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

Review 8.  Computed tomography versus magnetic resonance imaging for diagnosing cervical lymph node metastasis of head and neck cancer: a systematic review and meta-analysis.

Authors:  J Sun; B Li; C J Li; Y Li; F Su; Q H Gao; F L Wu; T Yu; L Wu; L J Li
Journal:  Onco Targets Ther       Date:  2015-06-08       Impact factor: 4.147

9.  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 in total

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