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DOI:10.2214/AJR.06.0562
AJR 2007; 188:977-983
© American Roentgen Ray Society


Original Research

Automated Quantitative Evaluation of Lymph Node Perfusion on Contrast-Enhanced Sonography

Leopoldo Rubaltelli1, Simone Corradin1, Alberto Dorigo1, Alberto Tregnaghi1, Fausto Adami2, Carlo Riccardo Rossi3 and Roberto Stramare1

1 Department of Medical Diagnostic Sciences and Special Therapies, University of Padua-Italy, via Giustiniani 2, Padua 35100, Italy.
2 Department of Clinical and Experimental Medicine, University of Padua-Italy, Padua, Italy.
3 Department of Oncological and Surgical Sciences, University of Padua-Italy, Padua, Italy.

Received April 24, 2006; accepted after revision September 12, 2006.

 
Address corespondence to R. Stramare (roberto.stramare{at}unipd.it).


Abstract
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. The aim of this study was to assess the performance of experimental software (Qontraxt) intended to provide automated quantification of sonographic signal intensity, which is related to the contrast enhancement of lymph node tissue, to differentiate benign from malignant lymph nodes.

SUBJECTS AND METHODS. In 31 patients (age range, 24-86 years; mean age ± SD, 53.6 ± 14.4 years) a single lymph node per patient was evaluated on sonography after the administration of sulfur hexafluoride-filled microbubbles. The stored sonographic images were analyzed and processed into chromatic maps that had numeric values related to the amount of contrast. The lymph node regions in which the increase of signal intensity values with respect to baseline were highest (maximum signal intensity value [SImax]) and lowest (minimum signal intensity value [SImin]) were identified, and the corresponding numeric data were stored. Statistical analyses were performed by means of the Student's t test; a p value of less than 0.05 was considered to be statistically significant.

RESULTS. Histopathologic analysis revealed metastatic lesions in 12 of the 31 lymph nodes; the remaining 19 were benign (16 reactive lymph nodes, two cases of granulomatous lymphadenitis, and one case of tubercular lymphadenitis). Values obtained from the SImax regions showed no consistent difference between benign and malignant lymph nodes; on the other hand, values from the SImin regions comparing baseline and maximal contrast-enhanced values were significantly different in the two groups (p < 0.001). Confidence for characterization of malignancy was significant using the difference between values from SImax and SImin regions, with the higher disgnostic value from 24 to 31 inclusive: sensitivity, 92% (11/12); specificity, 89% (17/19); positive predictive value, 85% (11/13); and accuracy, 90% (28/31).

CONCLUSION. The software being tested proved to be useful in differentiating benign from metastatic lymph nodes on the basis of the quantitative data it provided.

Keywords: automated perfusion measurements • color Doppler sonography • contrast media • lymph nodes • oncologic imaging • software • sonography


Introduction
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
The exclusion or the detection of lymph node metastasis is of fundamental importance in oncologic staging because it directly influences not only the assessment of a patient's prognosis, but also the selection of appropriate therapy. Assessment of the sentinel node and evaluation of response after treatment are other important fields of imaging application in oncologic patients. Similarly, it is of primary importance to obtain a rapid definition as to the nature of de novo lymphadenopathy arising in patients who have no history of neoplastic disease.

Gray-scale sonography and power Doppler sonography have been commonly used in the assessment of superficial lymph nodes (neck, axilla, and groin). The role of gray-scale sonography is well established [1-4], and color Doppler, power Doppler, and pulsed Doppler sonography can supply additional information about the distribution of intranodal vessels, blood flow velocity, and vascular resistance. In particular, the absence of the echogenic hilus, round shape (longitudinal diameter-to-transverse diameter ratio of < 2), and peripheral capsular vascularization are the signs regarded in the literature as being the characteristic of metastatic lymph nodes [5-12].

Contrast-enhanced sonography has been proposed for the study of lymph nodes with a view to improving the results obtained by means of conventional techniques [13, 14]. However, this technique is also subject to limitations and is particularly criticizable because interpretation of sonographic images depends on an operator whose individual skill and experience inevitably result in a subjective diagnosis.

The aim of this study was to assess experimental software intended to provide automated quantification of sonographic signal intensity properly related to the contrast enhancement of lymph node tissue to differentiate benign from malignant lymph nodes.


Subjects and Methods
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Patients
During a 12-month period, 31 consecutive patients with lymphadenopathy were prospectively examined (13 women and 18 men; age range, 24-86 years; mean age ± SD, 53.6 ± 14.4). The patients included in this study were scheduled for surgical lymph node dissection or excisional biopsy for persistent and clinically suspected nodes. Histologic diagnosis was obtained for all the lymph nodes considered.

Twenty-six of the 31 patients had been referred for imaging of suspected lymph node metastasis, and the remaining five presented with superficial de novo lymphadenopathy. In the cases of suspected metastasis, the primary tumor was neck squamous cell carcinoma (13 patients), cutaneous melanoma (eight patients), and breast carcinoma (five patients). Of the lymph nodes examined, 17 were cervical; five, axillary; and nine, inguinal. The diameters of the lymph nodes varied from 5 to 40 mm (mean ± SD, 18.8 ± 8 mm) (Table 1).


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TABLE 1: Lymph Node Values and Final Diagnosis

 

Sonographic Technique
All the patients had been previously examined on gray-scale sonography, and the lymph node that had the most suspect morphologic characteristics on the basis of its dimensions and longitudinal diameter-to-transverse diameter ratio was identified [1, 3].

All the lymph nodes being considered were examined by means of an apparatus (EsaTune Ultrasound System, Esaote) that was specifically designed for sonographic examinations with a contrast agent. A contrast agent composed of sulfur hexafluoride-filled microbubbles (SonoVue, Bracco International) was used.

A 7.5-MHz dedicated linear transducer was used in conjunction with new continuous-mode contrast-enhanced harmonic imaging technology. During transmission, low values of mechanical index (i.e., 0.05-0.2) and of acoustic pressure allow the microbubbles to oscillate at maximum intensity without being destroyed. The acoustic pressure was set at 45 kPa in each patient, and the mechanical index was selected automatically by the sonography scanner in relation to beam-focus depth. During reception, the signal emitted by the microbubbles is received in a selective manner, thereby eliminating all signals that are not useful; this technique, developed by Esaote and Bracco in conjunction, is referred to as "Contrast Tuned Imaging technology (CnTI)." This contrast-specific technique uses the transmission of the specific resonance frequency of sulfur hexafluoride-filled microbubbles and the selective registration of harmonic frequencies. This allows a significant reduction of the insonation power with a reduction of the nonlinear harmonic behavior of the stationary tissues.

All patients gave their informed consent for the examination including IV administration of the contrast agent. A 4.8-mL bolus of contrast agent was injected into a peripheral vein and was followed by an injection of 10 mL of physiologic saline solution. Immediately after the injections, the lymph nodes were scanned in CnTI mode with a frame rate of 15 frames/s.

The transducer was placed directly on the patient's skin without interposition of any pad and was kept in a fixed position to highlight all the phases of enhancement of the lymph node being examined. The beam focus was placed at the level of the lymph node being examined or immediately below it, and beam gain was set, in all cases, at the minimum level.

The apparatus in question affords the recording and filing of the images in digital format, and all the dynamic phases of the examinations performed during 25 seconds were saved using this system.

Quantitative Analysis
The digital recordings were sent from the sonography scanner to a PC and were then processed by means of experimental software (Qontraxt, Amid). This software is able to analyze the signal intensity of each single pixel of each frame and thereby to generate chromatic maps that allow immediate evaluation of the perfusion properties of the entire organ under examination or of regions of interest (ROIs), irrespective of shape or dimensions, as selected by the operator (Figs. 1A, 1B, 1C, 1D, 1E, 1F and 2A, 2B, 2C, 2D, 2E, 2F). On the basis of this analysis, the software enables numeric values to be obtained for each point in the region under examination as the final result; these values are correlated to the quantity of contrast medium that reached the sector in question. In practice, a virtual image is obtained of the lymph node composed of a scale of primary colors varying from red (maximum signal intensity) to blue (minimum signal intensity). By moving a cursor over the image, it is possible to explore the various color zones and obtain, at every point therein, the numeric value of signal intensity expressed as a percentage (maximum intensity = 100%).


Figure 1
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Fig. 1A —63-year-old woman with inguinal reactive lymph node. Reference scans delimit areas (circle) corresponding to lymph node under examination to be processed by software for evaluation of maximum (A) and minimum (B) signal intensity areas.

 

Figure 2
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Fig. 1B —63-year-old woman with inguinal reactive lymph node. Reference scans delimit areas (circle) corresponding to lymph node under examination to be processed by software for evaluation of maximum (A) and minimum (B) signal intensity areas.

 

Figure 3
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Fig. 1C —63-year-old woman with inguinal reactive lymph node. After analyzing all frames of recording as expression of maximum (C) or minimum (D) signal intensity in each pixel, software (Qontraxt, Amid) creates chromatic maps composed of scale of primary colors varying from red (maximum signal intensity) to blue (minimum signal intensity).

 

Figure 4
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Fig. 1D —63-year-old woman with inguinal reactive lymph node. After analyzing all frames of recording as expression of maximum (C) or minimum (D) signal intensity in each pixel, software (Qontraxt, Amid) creates chromatic maps composed of scale of primary colors varying from red (maximum signal intensity) to blue (minimum signal intensity).

 

Figure 5
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Fig. 1E —63-year-old woman with inguinal reactive lymph node. Software automatically supplies signal intensity-time curves and numeric values of peak, mean, and SD (StdDev) signal intensities for areas of maximum (E) and minimum (F) signal intensity. Time in seconds is shown on x-axis, and y-axis shows signal intensity as percentage, with 100% being maximum intensity.

 

Figure 6
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Fig. 1F —63-year-old woman with inguinal reactive lymph node. Software automatically supplies signal intensity-time curves and numeric values of peak, mean, and SD (StdDev) signal intensities for areas of maximum (E) and minimum (F) signal intensity. Time in seconds is shown on x-axis, and y-axis shows signal intensity as percentage, with 100% being maximum intensity.

 

Figure 7
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Fig. 2A —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. Reference scans delimit areas (circle) corresponding to lymph node under examination to be processed by software for evaluation of maximum (A) and minimum (B) signal intensity areas.

 

Figure 8
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Fig. 2B —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. Reference scans delimit areas (circle) corresponding to lymph node under examination to be processed by software for evaluation of maximum (A) and minimum (B) signal intensity areas.

 

Figure 9
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Fig. 2C —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. After analyzing all frames of recording as expression of maximum (C) or minimum (D) signal intensity in each pixel, software (Qontraxt, Amid) creates chromatic maps composed of scale of primary colors varying from red (maximum signal intensity) to blue (minimum signal intensity).

 

Figure 10
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Fig. 2D —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. After analyzing all frames of recording as expression of maximum (C) or minimum (D) signal intensity in each pixel, software (Qontraxt, Amid) creates chromatic maps composed of scale of primary colors varying from red (maximum signal intensity) to blue (minimum signal intensity).

 

Figure 11
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Fig. 2E —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. Software automatically supplies signal intensity-time curves and numeric values of peak, mean, and SD (StdDev) signal intensities for areas of maximum (E) and minimum (F) signal intensity. Time in seconds is shown on x-axis, and y-axis shows signal intensity as percentage, with 100% being maximum intensity.

 

Figure 12
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Fig. 2F —57-year-old man with cervical lymph node metastasis from squamous cell carcinoma. Software automatically supplies signal intensity-time curves and numeric values of peak, mean, and SD (StdDev) signal intensities for areas of maximum (E) and minimum (F) signal intensity. Time in seconds is shown on x-axis, and y-axis shows signal intensity as percentage, with 100% being maximum intensity.

 
Contemporaneously, the system generates a signal intensity-time curve in relation to the selected point or region. All procedures are fully automated; human intervention is limited to selection of the organ or the ROI and specification of the initial and final frames of the perfusion interval. The software incorporates a graphic interface that is intuitive to use with the objective of providing a product that can be used by personnel without specialized training.

Our preliminary experience gained with this technique has shown that the level of enhancement is not uniform over the entire lymph node volume: Generally, the normal hilar region or areas of inflammation tend to give high signal intensity, whereas signal intensity corresponding to fatty infiltration or areas of necrosis is lower. For these reasons, the position and dimensions of the ROIs were chosen on the basis of the chromatic maps obtained. The ROIs were manually drawn, and their shape and dimensions were adapted to delimit the darkest red regions (highest increase of signal intensity) and the darkest blue regions (lowest increase of signal intensity).

Each lymph node was evaluated to determine the following values: the numeric value assigned by the software to the area of maximum signal intensity (Figs. 1A and 2A) (SImax); the numeric value assigned by the software to the area of minimum signal intensity (Figs. 1B and 2B) (SImin); and the difference between those two values. These values were then compared with the characteristics of enhancement in benign and malignant lymph nodes.

Statistical Analysis
Statistical analysis of the data obtained was performed by means of the Student's t test; a p value of less than 0.05 was considered to be statistically significant.


Results
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Histologic diagnosis revealed 19 benign lymph nodes (16 reactive lymph nodes, two cases of granulomatous lymphadenitis, and one case of tubercular lymphadenitis) and 12 metastatic lymph nodes (seven neck squamous cell carcinomas, four cutaneous melanomas, and one breast carcinoma) (Table 1).

The longitudinal diameter-to-transverse diameter ratio was less than 2 in 67% (8/12) of the malignant lymph nodes and in 47.3% (9/19) of the benign lymph nodes (Table 1).

The numeric values obtained for the area corresponding to maximum increase of signal intensity (SImax) after injection of the contrast medium are reported in Figure 3. In this case, there exists ample overlapping of values between benign and metastatic lymph nodes to such an extent that any possibility of differentiating between the two groups is eliminated.


Figure 13
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Fig. 3 —Graph shows maximum signal intensity (SImax) values ± 1 SD of SImax in two groups of lymph nodes: metastatic (solid line) and benign (dotted line).

 
On the contrary, the values obtained in evaluation of the area with the least increase of signal intensity (SImin) (Fig. 4) present a statistically significant difference (p < 0.001) between benign and metastatic lymph nodes.


Figure 14
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Fig. 4 —Graph shows minimum signal intensity (SImin) values ± 1 SD of SImin in two groups of lymph nodes: metastatic (solid line) and benign (dotted line).

 
The difference between the two previously considered values (SImax - SImin) further accentuates the difference between the two groups (Fig. 5), and the increase in statistical significance is greater (p < 0.001). The analysis of these data has furthermore enabled us to verify that a difference between SImax and SImin from 24 to 31 affords the highest possibility of differentiation between benign and malignant lymph nodes: sensitivity, 92% (11/12); specificity, 89% (17/19); positive predictive value, 85% (11/13); and diagnostic accuracy, 90% (28/31).


Figure 15
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Fig. 5 —Graph shows differential values of maximum signal intensity (SImax) and minimum signal intensity (SImin), calculated as SImax-SImin, in two groups of lymph nodes: metastatic (solid line) and benign (dotted line).

 

Discussion
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
The role of sonography in evaluating superficial lymph nodes is well documented in the literature. High-frequency transducers enable accurate evaluation of the morphology and structure of lymph nodes, and power Doppler imaging provides further information with regard to vascularization [1-12]. From a point of view of evaluating the internal structure of lymph nodes, sonography is superior to CT and MRI [15]; however, these latter techniques have the advantage, especially in the cervical region, of being able to afford evaluation both of primary tumors and of local lymph nodes that are inaccessible on sonography in some cases (e.g., oropharynx and nasopharynx) [1, 15]. Indeed, in the detection of cervical lymph node metastases, sonography gives an accuracy of only 72.7% versus an accuracy of 84.9% for CT, 85% for MRI, and 90% for PET [16].

Another limitation of sonography, but also of the other imaging techniques, lies in its inability to depict partial metastases—that is, cases in which only part of the node has been replaced by tumor without alteration of the actual morphology of the lymph node, a finding frequently present in clinically N0 tumors of the neck. Detection of these partial lymph node lesions is one of the objectives of all imaging techniques and will be attainable only by an increase in the spatial resolution and contrast of current methods.

In an attempt to overcome these limitations, contrast-enhanced harmonic imaging has been used for the study of superficial lymph nodes [13, 14]. This technique has yielded interesting results that show a significant increase in the differentiation between benign and malignant lymph nodes as compared with conventional techniques [14]. In particular, it has been shown that lymph node metastases are characterized by hypoperfuse areas due to necrosis or to the presence of metastatic tissue that is less vascularized with respect to healthy parenchyma.

The software used in our study expresses values as a percentage of maximum recordable signal intensity. A level of saturation beyond which the signal has the same intensity of color doubtlessly exists. Although this poses a theoretic limit on the system, such values correspond to a very high concentration of contrast agent; therefore, from a practical point of view, this theoretic limit does not affect identification of hypoperfuse areas.

Recently, King et al. [17] reported that in the identification of areas of intranodal necrosis sonography has a specificity equal to that of CT and MRI, although its sensitivity is less. In that study, the researchers compared gray-scale sonography with CT and MRI performed before and after IV injection of contrast medium; it can be stated with certainty that the clinical application of sonographic contrast medium can bring the performance results of sonography still closer to those of CT and MRI, also with regard to sensitivity.

MRI with ultrasmall superparamagnetic iron oxide (USPIO) has been used for the study of both superficial and deep lymph nodes, and the results have shown that MRI with USPIO is effective in revealing even partial metastases in unenlarged lymph nodes [18, 19]. Compared with that technique, contrast-enhanced harmonic imaging is limited in that it affords the study of only superficial lymph nodes with high-resolution transducers; nevertheless, in these cases, contrast-enhanced harmonic imaging allows rapid characterization of lymphadenopathies that had previously been identified on sonography. Moreover, contrast-enhanced harmonic imaging can be indicated for patients with contraindications to MRI.

Nonetheless, contrast-enhanced harmonic imaging does have some important limitations; in particular, the results obtainable with this technique depend on the specific experience of the operator and are therefore bound to subjective evaluation. The possibility of obtaining objective and repeatable data by means of automated computer-assisted processing could at least partially overcome this limitation.

In particular, the presence of a high level of contrast enhancement can be correlated to healthy tissue, whereas values of signal increase of less than 40% were found in the pathologic areas due to neoplastic infiltration or necrosis. Areas of necrosis can be produced, although more rarely, by benign entities, as shown in our series in two cases, one that was due to granulomatous lymphadenitis and the other, to tubercular lymphadenitis.

The high sensitivity of the software used in evaluating the increase in signal intensity after injection of contrast medium also led to the detection of benign lymph nodes with relatively hypoperfuse areas, most likely attributable to physiologic variations or induced by inflammatory phenomena. However, in the inner part of the same lymph node, the hypoperfuse areas presented less difference in enhancement (SImax - SImin) with respect to metastatic lymph nodes; in fact, we found that a numeric cutoff value by the difference between SImax and SImin when ranged from 24 to 31 enabled benign lymph nodes to be characterized from malignant lymph nodes; benign lymph nodes showed values less than or equal to 24 while malignant lymph node values were equal to or superior to 31.

The intrinsic limitations of sonography remain to be considered: namely, incomplete panoramic views; impossibility of evaluating the more deep-seated lymph node groups, such as the retropharyngeal nodes; and difficulty in obtaining real-time evaluation regarding arterial phase enhancement in lymph nodes not included in the same plane or section if not administering further injections of contrast medium. On the other hand, among the advantages of contrast-enhanced harmonic imaging is the possibility of achieving dynamic real-time study of perfusion without artifacts, even in the presence of movement, whether it be respiratory, deglutitory, or pulsate, that limits traditional evaluation with color and power Doppler imaging. To these advantages is also to be added the possibility of obtaining quantitative evaluation that is repeatable and independent from subjective operator-influenced interpretations, this being achieved by means of dedicated software such as that used in the present study.

Our study does have some limitations. First, the perfusion parameters evaluated with contrast-enhanced harmonic imaging can be difficult to compare in many patients because of the high variability of the ultrasound signal with depth and the insonation technique. These limitations can, however, be partially reduced by adopting a standardized technique, especially with regard to beam gain, beam focus, acoustic pressure, and mechanical index settings.

Second, the perfusion characteristics of the lymph nodes examined were correlated with the histologic diagnoses, but no correlation was made between virtual lymph node and histologic section to match areas of major or minor enhancement with areas of different vascularization or with areas of focal necrosis or partial metastasis.

Third, our study has considered a numerically limited series of patients; therefore, the results obtained in our study necessitate further studies that include a larger number of metastases from different tumors and lymphomatous nodes.

In conclusion, notwithstanding some limitations, the results of these preliminary studies are encouraging and indicate the possibility of quantitatively evaluating lymph node perfusion with contrast-enhanced harmonic imaging, thereby obtaining a high level of diagnostic accuracy in differentiating benign from malignant lymph nodes. Moreover, in producing repeatable numeric data and information that are independent from subjective operator-influenced interpretation, the experimental software used may contribute to overcoming one of the most important limitations of sonography.


Acknowledgments
 
We thank Denis Swift for his much appreciated assistance in the preparation and translation of this article.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

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