Literature DB >> 16557366

Role of diffusion-weighted MR imaging in cervical lymphadenopathy.

Ahmed Abdel Khalek Abdel Razek1, Nermin Yehia Soliman, Sahar Elkhamary, Mousa K Alsharaway, Ali Tawfik.   

Abstract

The role of diffusion-weighted magnetic resonance imaging (MRI) for differentiation between various causes of cervical lymphadenopathy was evaluated. In a prospective study, 31 untreated patients (22 males and nine females, aged 5-70 years) with 87 cervical lymph nodes underwent diffusion-weighted MRI before performance of neck dissection (n=14), surgical biopsy (n=9) or core biopsy (n=8). Diffusion-weighted MR images were acquired with a b factor of 0 and 1,000 s/mm2 using single-shot echo-planar sequence. Apparent diffusion coefficient (ADC) maps were reconstructed for all patients. The signal intensity of the lymph nodes was assessed on images obtained at b=0 or 1,000 s/mm2 and from the ADC maps. The ADC value of lymph nodes was also calculated. On the ADC map, malignant nodes showed either low (n=52) or mixed (n=20) signal intensity and benign nodes revealed high (n=13) or low (n=2) signal intensity. The mean ADC value of metastatic (1.09+/-0.11x10(-3) mm2/s) and lymphomatous (0.97+/-0.27x10(-3) mm2/s) lymph nodes was significantly lower than that of benign (1.64+/-0.16x10(-3) mm2/s) cervical lymph nodes (P<0.04). When an ADC value of 1.38x10(-3) mm2/s was used as a threshold value for differentiating malignant from benign lymph nodes, the best results were obtained with an accuracy of 96%, sensitivity of 98%, specificity of 88%, positive predictive value of 98.5% and negative predictive value of 83.7%. The smallest detected lymph node was 0.9 cm. In conclusion, diffusion-weighted MRI with ADC mapping is a new promising technique that can differentiate malignant from benign lymph nodes and delineate the solid viable part of the lymph node for biopsy. This technique provides additional useful physiological and functional information regarding characterization of cervical lymph nodes.

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Year:  2006        PMID: 16557366     DOI: 10.1007/s00330-005-0133-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  18 in total

1.  Diffusion-weighted echoplanar MR imaging of the salivary glands.

Authors:  Misa Sumi; Yukinori Takagi; Masataka Uetani; Minoru Morikawa; Kuniaki Hayashi; Hiroyuki Kabasawa; Katsuhiko Aikawa; Takashi Nakamura
Journal:  AJR Am J Roentgenol       Date:  2002-04       Impact factor: 3.959

2.  Comments on Castelijns and van den Brekel: Imaging of lymphadenopathy in the neck.

Authors:  Teresa Ferreira
Journal:  Eur Radiol       Date:  2003-03-25       Impact factor: 5.315

3.  MR imaging of lymph nodes in the head and neck.

Authors:  Makiko Ishikawa; Yoshimi Anzai
Journal:  Neuroimaging Clin N Am       Date:  2004-11       Impact factor: 2.264

4.  Comparison of CT and MR imaging in staging of neck metastases.

Authors:  H D Curtin; H Ishwaran; A A Mancuso; R W Dalley; D J Caudry; B J McNeil
Journal:  Radiology       Date:  1998-04       Impact factor: 11.105

Review 5.  Imaging of cervical lymphadenopathy.

Authors:  A V Kaji; T Mohuchy; J D Swartz
Journal:  Semin Ultrasound CT MR       Date:  1997-06       Impact factor: 1.875

6.  Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.

Authors:  J Wang; S Takashima; F Takayama; S Kawakami; A Saito; T Matsushita; M Momose; T Ishiyama
Journal:  Radiology       Date:  2001-09       Impact factor: 11.105

7.  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

8.  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

9.  Assessment of metastatic cervical adenopathy using dynamic contrast-enhanced MR imaging.

Authors:  Nancy J Fischbein; Susan M Noworolski; Roland G Henry; Michael J Kaplan; William P Dillon; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

10.  MRI features of cervical nodal necrosis in metastatic disease.

Authors:  V F Chong; Y F Fan; J B Khoo
Journal:  Clin Radiol       Date:  1996-02       Impact factor: 2.350

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  91 in total

1.  Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Junichi Kodama; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-10       Impact factor: 9.236

2.  Diffusion MR imaging features of skull base osteomyelitis compared with skull base malignancy.

Authors:  B Ozgen; K K Oguz; A Cila
Journal:  AJNR Am J Neuroradiol       Date:  2010-10-14       Impact factor: 3.825

3.  Differentiation between benign and malignant orbital tumors at 3-T diffusion MR-imaging.

Authors:  Ahmed Abdel Khalek Abdel Razek; Sahar Elkhamary; Amani Mousa
Journal:  Neuroradiology       Date:  2011-02-01       Impact factor: 2.804

4.  Role of apparent diffusion coefficient values in differentiation between malignant and benign solitary thyroid nodules.

Authors:  A A K Abdel Razek; A G Sadek; O R Kombar; T E Elmahdy; N Nada
Journal:  AJNR Am J Neuroradiol       Date:  2007-11-26       Impact factor: 3.825

5.  Diagnostic accuracy and additional value of diffusion-weighted imaging for discrimination of malignant cervical lymph nodes in head and neck squamous cell carcinoma.

Authors:  R B J de Bondt; M C Hoeberigs; P J Nelemans; W M L L G Deserno; C Peutz-Kootstra; B Kremer; R G H Beets-Tan
Journal:  Neuroradiology       Date:  2009-01-10       Impact factor: 2.804

6.  Diffusion-weighted MR imaging of thyroid nodules.

Authors:  Zulkif Bozgeyik; Sonay Coskun; A Ferda Dagli; Yusuf Ozkan; Fatih Sahpaz; Erkin Ogur
Journal:  Neuroradiology       Date:  2009-01-23       Impact factor: 2.804

Review 7.  Squamous cell carcinoma of the head and neck-The role of diffusion and perfusion imaging in tumor recurrence and follow-up.

Authors:  Agnieszka Trojanowska
Journal:  Rep Pract Oncol Radiother       Date:  2011-07-19

8.  Comparison of STIR turbo SE imaging and diffusion-weighted imaging of the lung: capability for detection and subtype classification of pulmonary adenocarcinomas.

Authors:  Hisanobu Koyama; Yoshiharu Ohno; Nobukazu Aoyama; Yumiko Onishi; Keiko Matsumoto; Munenobu Nogami; Daisuke Takenaka; Wataru Nishio; Chiho Ohbayashi; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2009-09-18       Impact factor: 5.315

9.  Nasopharyngeal carcinoma: correlation of apparent diffusion coefficient value with prognostic parameters.

Authors:  Ahmed Abdel Khalek Abdel Razek; Elsharawey Kamal
Journal:  Radiol Med       Date:  2012-10-22       Impact factor: 3.469

Review 10.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

Authors:  Christina Tsien; Yue Cao; Thomas Chenevert
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

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