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have sensitivity rates of 70–80% depending on the technical equipment and
ability and on the experience of the investigator. The technique of near-
infrared imaging will be mentioned in another article in this journal. Also,
the value of biopsy techniques including recently developed ultrasonog-
raphy-guided needle biopsy with molecular analysis of the cells of about
97–100% accuracy in diagnosing benign from malignant lymph nodes will
be mentioned.
Overall, the reader will get an overview of the present imaging modalities to
potentially stage correctly lymph nodes in the head and neck region to
facilitate the therapeutic procedure.
Role of diffusion-weighted MR imaging in cervical lymphadenopathy
Abdel Razek AAK, NY Soliman, Elkhamary S, Alsharaway MK, Tawfik A
(Diagnostic Radiology Department, Faculty of Medicine, Mansoura
University, Mansoura, Egypt). Eur Radiol 2006;16:1468–1477.
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
9 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 1000 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 1000 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
(1.09F0.11�10�3 mm2/s) and lymphomatous (0.97F0.27�10�3 mm2/s)
lymph nodes was significantly lower than that of benign (1.64F16�10�3mm2/s) cervical lymph nodes ( Pb.04). When an ADC value of
1.38�10�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%, a sensitivity of 98%, a specificity of 88%, a positive
predictive value of 98.5%, and a 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.
Ultrasound of superficial lymph nodes
Esen G (Istanbul University, Cerrahpasa Medical School, Department of
Radiology, 34300 Istanbul, Turkey). Eur J Radiol 2006;58:345–359.
US is a powerful tool for characterization of superficial lymph nodes.
Unlike other imaging techniques like CT and MRI, which mainly depend
on size for differential diagnosis, US can evaluate important parameters
such as shape, margins, internal structure, and abnormal vascularization. It
has the advantage of showing early subtle findings of neoplastic
involvement like asymmetric thickening and focal lobulations in the
cortex, as well as late findings such as diffuse cortical thickening and
absence of hilum. It is possible to evaluate the heterogenous inner
structure due to necrosis, unsharp or irregular borders due to extracapsular
spread, and abnormal vascularization with multiple subcapsular feeding
vessels due to tumor angiogenesis. The advances in US technology like
high-resolution transducers, power Doppler function, and contrast agents
have all contributed to the well-established role of US in the evaluation of
lymph nodes. This article mainly focuses on the sonographic criteria
for differential diagnosis of normal, reactive, inflammatous, and neo-
plastic lymph nodes, as well as examination techniques in the neck,
axilla, internal mammary and inguinal regions and indications in various
clinical settings.
Abstracts / Clinical Imaging 31 (2007) 72–75 75