Daphne A.J.J. Driessen1, Tim Dijkema1, Sjoert A.H. Pegge2, Patrik Zámecnik2, Adriana C.H. van Engen-van Grunsven3, Willem L.J. Weijs4, Robert P. Takes5, Tom W.J. Scheenen2, and Johannes H.A.M. Kaanders1
1Radiation Oncology, Radboud university medical centre, Nijmegen, Netherlands, 2Radiology and Nuclear Medicine, Radboud university medical centre, Nijmegen, Netherlands, 3Pathology, Radboud university medical centre, Nijmegen, Netherlands, 4Oral- and Maxillofacial Surgery and Head and Neck Surgery, Radboud university medical centre, Nijmegen, Netherlands, 5Otorhinolaryngology and Head and Neck Surgery, Radboud university medical centre, Nijmegen, Netherlands
Synopsis
Head and neck
cancers have a high propensity to metastasize to the lymph nodes of the neck.
Accurate knowledge of this regional nodal status is of great importance for therapy
selection and prognosis. Ultrasmall superparamagnetic iron oxide (USPIO)
particles (Ferumoxtran-10 / Ferrotran®) are a promising
contrast agent that can be used to detect nodal metastases with MRI. This study
aims to validate USPIO-MRI for the detection of nodal metastases in head and
neck cancer patients with histopathology as the reference standard. The
workflow and preliminary results in 5 patients are shown in this abstract.
Purpose
The presence of
lymph node metastases has a large impact on prognosis and treatment in head and neck cancer. Despite
increased spatial resolution of current imaging methods, around 20% of patients
with a clinically negative neck will have occult metastases1. Therefore,
a large proportion of these patients receive elective treatment of the neck which
is associated with substantial acute and late toxicity. If the detection
of small lymph node metastases can be improved, elective neck treatment may be
avoided in at least a part of the patients resulting in less toxicity and
improved quality of life. MRI combined with USPIO contrast agent has proven to be of great value in
detecting lymph node metastases in prostate cancer2,3. In this
abstract, we demonstrate the study protocol and preliminary results of the
USPIO-NECK study which evaluates the diagnostic accuracy of USPIO-MRI for the
detection of lymph node metastases in head‐and‐neck squamous cell
carcinoma (SCC) with histopathology of resected specimens as a gold standard.Methods
In this single centre prospective pilot
study, 25 patients aged ≥18 years with cT0‐4N0‐3M0 SCC of the oral
cavity, oropharynx, larynx, hypopharynx or unknown primary origin who are
planned for a neck dissection will be included. Prior to surgery, a dose of 2.6
mg per kilogram bodyweight USPIO was intravenously administered to all patients
and 24-36 hours later an MRI examination was performed (3T Magnetom PrismaFit,
Siemens Healthcare, Erlangen, Germany. The USPIO particles accumulate in
healthy lymph nodes, suppressing MRI signal on a T2*-weighted multi-gradient
echo ironsensitive sequence, whereas metastatic nodes retain MR signal
intensity, visualizing lymph node metastases. After surgery and fixation in formalin, an ex-vivo MRI of the neck
dissection specimen was acquired on a 7T preclinical MR system (7T, Bruker
ClinScan). Both in-vivo and ex-vivo MR parameters are shown in table 1. Suspicious
nodes on USPIO-MRI, i.e. nodes retaining MR signal intensity, were identified by
two radiologists who are experienced in reading USPIO-MR images and MR images
of the neck and made a correlation to the ex-vivo MR images. These ex-vivo MR
images were present at the dissection room and guided the pathologist to
localize the suspicious node to enable a node-to-node correlation between MRI
and histopathology. These nodes were enclosed separately and processed
according to the head and neck sentinel node protocol (5 sections every 200 μm,
hematoxylin and eosin staining and immunohistochemistry). Other non-suspicious
nodes were enclosed per station level, enabling a level-to-level correlation. The histopathologic results served as a
reference to validate the USPIO-MR results.Results
To date, five
patients have been included in the study, four with a primary tumour in the
oral cavity and one in the oropharynx. Tumour stages varied between II-IVA and
both patients with (based on ultrasound guided fine needle aspiration, computed
tomography and/or MRI) a clinically positive neck (n = 2) as well as a
clinically negative neck (n = 3) were included. On in-vivo MRI, a total of 9 suspicious
nodes were identified and enclosed in individual histopathology slices. All
suspicious nodes could be matched to ex-vivo MRI and histopathology based on
their dimensions and their relation to anatomical landmarks (figure 1). Histopathologic
analysis revealed 13 metastatic nodes of the 232 lymph nodes harvested in
total. Ex-vivo MRI revealed 271 lymph nodes in total. Discussion
Our preliminary findings demonstrate that visualization of metastatic
nodal disease by USPIO-MRI in head-and-neck cancer patients is feasible.
Furthermore, the correlation between in-vivo USPIO-MRI and histopathology is
possible when guided by ex-vivo MR-images, enabling node-to-node correlation
for suspicious nodes. This extra step also warrants that a large proportion (86%) of the nodes found on ex-vivo MR are also
found on pathology. The data shows that USPIO particles are distributed to the
cervical lymph nodes after intravenous administration. The pattern of uptake can
be altered as lymph nodes in this particular region are frequently susceptible
to inflammatory changes caused by infections of the upper aerodigestive tract4.
Moreover, lymph nodes are punctured during the routine diagnostic tract,
potentially disturbing USPIO transport. The relevance of both issues will be further
explored while the study progresses.Conclusion
The feasibility of performing USPIO-MRI in head and neck SCC patients is
demonstrated by these preliminary findings. Due to the incorporation of the
ex-vivo MRI, our workflow enables correlation between in-vivo MR-images and
histopathological results on a nodal level which is essential for a future assessment
of diagnostic accuracy. A larger patient number is required in order to draw
more reliable conclusions on the diagnostic performance of USPIO-MRI on a
patient level; our node-to-node correlation allows for analyses on nodal, or at
least nodal station level.Acknowledgements
NoneReferences
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