Angela M Borri Wolosker1. 1. MD, PhD, Attending Physician in the Head and Neck Sector of the Department of Diagnostic Imaging at the Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), Senior Physician for Grupo Fleury, São Paulo, SP, Brazil. E-mail: ambwolosker@yahoo.com.br.
The importance of imaging diagnosis in identifying and characterizing cervical lymph
nodes is undeniable, especially in tumor staging, in which it influences decisions
related to the initiation, adjustment, or discontinuation of
treatment([1]). The limitations of conventional magnetic resonance
imaging (MRI) for the differentiation between benign and malignant involvement are also
recognized, because a reactive lymph node can be enlarged in the same way as a
metastatic lymph node, and a normal-sized lymph node can be
malignant([2]). Functional MRI techniques are increasingly used to aid
in that differentiation.Diffusion-weighted MRI sequences can identify change in cytoarchitecture and cell
density, allowing the use of apparent diffusion coefficient (ADC) values for the
characterization of small (4-9 mm) metastatic lymph nodes([3]), for which the morphology
and size criteria would yield false-negative results([4]). In addition, many studies
have demonstrated the importance of post-treatment assessment with diffusion-weighted
imaging, suggesting that, by as soon as two weeks after the initiation of treatment, ADC
values can indicate whether or not the prescribed pharmacological treatment has been
successful([5]). The various techniques of dynamic study after injection of
contrast medium allow characterization of vascular permeability and identification of
neovascularization, suggestive of metastatic lymph nodes([6]). Spectroscopy demonstrates a
change in the concentration of metabolites, which can guide the
diagnosis([3]).In the previous issue of Radiologia Brasileira, Cintra et al.([7]) analyzed 33 functional MRI
studies of cervical lymph nodes, with the objective of identifying signs indicative of
malignancy or benignity. The authors used diffusion-weighted imaging and dynamic
contrast enhancement with perfusion/vascularity evaluation to characterize the lymph
nodes, comparing those results with the postoperative pathology and fine needle
aspiration biopsy findings.The results showed that the diffusion-weighted imaging did not show statistically
significant differences between benign and malignant lymph nodes. Dynamic contrast
enhancement showed statistically significant results for two parameters: peak
enhancement and relative enhancement. Malignant lymph nodes showed lower values of peak
enhancement and higher values of relative enhancement.The authors commented on some discrepant results in the literature([8]), offering a critical
analysis emphasizing that functional MRI has the potential to differentiate between
malignant and benign lymph nodes if evaluated in association with the analysis of
conventional images. They noted the limitations to functional MRI, such as the presence
of artifacts (respiratory and involuntary swallowing movements) and areas of necrosis
(which must be recognized and correctly interpreted), as well as the wide range of
parameters and cut-off values used in the literature, which limit reproducibility and
preclude comparisons across studies([9]).
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
Authors: Ann D King; Kwok-Keung Chow; Kwok-Hung Yu; Frankie Kwok Fai Mo; David K W Yeung; Jing Yuan; Kunwar S Bhatia; Alexander C Vlantis; Anil T Ahuja Journal: Radiology Date: 2012-11-14 Impact factor: 11.105
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
Authors: Francisco Carlos da Silva; Gabriel Antonio Nascentes; Antonio Carlos Oliveira Meneses; Dalmo Correia Filho Journal: Radiol Bras Date: 2019 Jan-Feb