M Weichenthal1, P Mohr, E W Breitbart. 1. Department of Dermatology, St. Georg Hospital, Hamburg, Germany. weichenthal@uke.uni-hamburg.de
Abstract
BACKGROUND: Ultrasonography with 20 MHz frequency can be used to estimate tumour thickness preoperatively in malignant melanoma (MM) of the skin. The vertical invasion depth is the single most important prognostic factor for localised MM, and its preoperative knowledge would be very useful for the planning of surgical procedures. Since ultrasonographic distance measurements directly depend upon the tissue specific ultrasound velocity, we determined the ultrasound velocity in primary melanoma. RESULTS: Ultrasound velocity was calculated from runtime differences of a 20 MHz ultrasound signal along a known distance either through water alone or through thick specimens of primary MM. The ultrasound velocities varied between 1553 m/s and 1588 m/s with a mean of 1564 m/s in four different MM specimens. The analysis of different parts of the specimens showed that the variation of the calculated velocities was larger between different specimens than within one individual specimen. CONCLUSIONS: The ultrasound velocity in MM tissue may be slightly lower than normally assumed, thereby explaining a part of the overestimation usually found in sonographic measurement of melanoma invasion depth. Additionally, the variation of ultrasound velocity between individual tumours may contribute to the impairment of the correlation found between sonometry and Breslow's measurement of MM invasion depth. For practical reasons, a setting of 1580 m/s will be appropriate for ultrasonography of primary malignant melanoma.
BACKGROUND: Ultrasonography with 20 MHz frequency can be used to estimate tumour thickness preoperatively in malignant melanoma (MM) of the skin. The vertical invasion depth is the single most important prognostic factor for localised MM, and its preoperative knowledge would be very useful for the planning of surgical procedures. Since ultrasonographic distance measurements directly depend upon the tissue specific ultrasound velocity, we determined the ultrasound velocity in primary melanoma. RESULTS: Ultrasound velocity was calculated from runtime differences of a 20 MHz ultrasound signal along a known distance either through water alone or through thick specimens of primary MM. The ultrasound velocities varied between 1553 m/s and 1588 m/s with a mean of 1564 m/s in four different MM specimens. The analysis of different parts of the specimens showed that the variation of the calculated velocities was larger between different specimens than within one individual specimen. CONCLUSIONS: The ultrasound velocity in MM tissue may be slightly lower than normally assumed, thereby explaining a part of the overestimation usually found in sonographic measurement of melanoma invasion depth. Additionally, the variation of ultrasound velocity between individual tumours may contribute to the impairment of the correlation found between sonometry and Breslow's measurement of MM invasion depth. For practical reasons, a setting of 1580 m/s will be appropriate for ultrasonography of primary malignant melanoma.
The tumour invasion depth according to Breslow [1] is the single most important prognostic factor in cutaneous malignant melanoma (MM) [2], and it is well established as the main determinant in recent staging systems for cutaneous MM. High resolution ultrasound imaging can be used for determination of melanoma invasion depth in vivo for preoperative staging purposes [3,4]. This may become especially useful for the planning of procedures like sentinel lymph node dissection (SLND), which is mostly performed in melanomas of more than 1.0 mm invasion depth.Although the correlation between sonographical and histological measurements is high, it is subject to inaccuracies and several sources of error [5, 6]. Sonometric measurement of MM invasion depth in vivo generally reveals somewhat higher values than histometric measurement [3, 5, 7]. Various factors including shrinkage of the fixed tissue [8] and misclassification of subtumoral inflammatory cells as part of the tumour [4] have been made responsible for this effect.The validity of ultrasonographic distance measurements in vivo is basically depending on assumptions about the velocity of the ultrasound signal in the tissue under determination. Most studies of ultrasonographic measurements in MM assume a general velocity of 1580 m/s based on data for whole human skin, although ultrasound velocity significantly varies in different tissues [9] and even in human skin of different sites [10] (Table 1).
Table 1
Ultrasound velocity in different human tissues
Tissue
Frequency
velocity
Temp
[MHz]
[m/s]
[°C]
Skin
Breast
10.0
1642
27
Face
10.0
1570
27
Fat
2.0
1476
35
Blood
7.5
1586
37
Liver
10.0
1608
37
Bone
0.1
3375
37
Adapted from Goss et al. [9] and Escoffier et al. [10]
Ultrasound velocity in different human tissuesAdapted from Goss et al. [9] and Escoffier et al. [10]We investigated the ultrasound velocity in humanmelanoma tissue, since its overestimation would be an alternative explanation for measurement bias in sonometric measurement of MM invasion depth.
Materials and methods
Biopsy material of four patients with very large primary melanomas was used in order to obtain enough tissue for experimental measurements but still preserve enough of the specimen for routine histological evaluation. The specimen was processed immediately after surgery, cleaned from all subtumoral or subcutaneous tissue and placed in 0.7% saline.Ultrasonographic measurements were performed using a DBR300 ultrasound device (Sonometrics Inc., New York, NY, USA) equipped with a highly damped 20 MHz transducer.Ultrasound velocity was calculated by measuring signal runtimes along a constant distance (s0) of 12.0 mm between the transducer and a plane plexiglas bottom either through water alone or with the melanoma specimen placed onto the plexiglas (Fig. 1). The runtimes were calculated using electronic cursors placed on the appropriate flanks of the scope signal. If to is the time for the signal to pass the distance so through water alone, tM the time to pass the tissue distance (SM), and tw the time to pass the remaining water distance (sw), then the velocity of the signal propagation in melanoma tissue can be calculated as:
Figure 1
Schematic representation of the sonographic device. A 20-MHz transducer (T) is fixed to a basin filled with water. The 12-millimeter-distance (so) between the transducer and the plexiglas bottom can be measured with or without interposing tissue samples. The melanoma tissue (M) can be fixed onto the bottom with a flexible clip in different positions.
VM = Vw (t0-tw)/tMwith the ultrasound velocity in water vw given as 1496 m/s at 25°C.[11] For theoretical reasons, the maximal resolution of the runtime measurement of a 20 MHz signal is about 0.05 μs. Technical reasons, i.e. the steepness of the signal flanks, lead to additional inaccuracies. With tenfold measurements of the empty system a standardised coefficient of variance of about 0.42 percent was reached (data not shown).Schematic representation of the sonographic device. A 20-MHz transducer (T) is fixed to a basin filled with water. The 12-millimeter-distance (so) between the transducer and the plexiglas bottom can be measured with or without interposing tissue samples. The melanoma tissue (M) can be fixed onto the bottom with a flexible clip in different positions.Depending on the available amount of tissue, measurements were performed repeatedly at different sites of the specimen. Mean values were calculated from tenfold measurements and compared between the different specimens using simple analysis of variance. The results were applied to a set of 402 melanomapatients using simple regression analysis of log-normalised values of Breslow's and sonographic invasion depth measurements. All calculations were done with a statistical software package (SPSS 5.0, SPSS Inc, Chicago, IL).
Results
Of the four tissue specimens, two were large enough to perform measurements in six different parts of the material. The two other melanomas were measured in two points each. As shown in Table 2, the samples gave varying results with calculated velocities around the expected region of 1580 m/s, ranging from 1553 m/s to 1588 m/s, and the calculated mean was 1564 m/s. Although the intra-tumoral variation was considerably high, analysis of variance revealed significant differences between the four different tumours (F = 4.53; p = 0.02). Specifically, the tumours number 3 and number 4 showed ultrasound velocities slightly higher than 1580 m/s, while the very large tumours (No.1 and 2) gave significantly lower values (Fig. 2).
Table 2
Ultrasound velocities in primary melanomas
Lesion
Localisation
Invasion depth
number of sites
velocity ± SEM
No.
(Breslow) [mm]
per specimen
[m/s]
1
cheek
12.0
6
1553 ± 17.9
2
shoulder
7.2
6
1561 ± 6.0
3
leg
2.6
2
1588 ± 20.9
4
leg
6.8
2
1585 ± 14.9
Figure 2
Scope signals of the measurements. The signal runtimes were determined by electronic cursors. The time the ultrasound pulse needs to pass a given distance changes whether the melanoma tissue (tumour) is interposed (A) or whether it goes through water alone (B). From the runtime difference with or without the tissue sample in the signal way, the ultrasound velocity within the tissue can be calculated.
Scope signals of the measurements. The signal runtimes were determined by electronic cursors. The time the ultrasound pulse needs to pass a given distance changes whether the melanoma tissue (tumour) is interposed (A) or whether it goes through water alone (B). From the runtime difference with or without the tissue sample in the signal way, the ultrasound velocity within the tissue can be calculated.Ultrasound velocities in primary melanomasIn order to illustrate the impact of the findings for the accuracy and validity of clinical measurements, we applied a corrected tissue specific velocity to a historical set of clinical ultrasound measurements. These had been obtained from consecutive melanomapatients during the years 1983 to 1991. Figure 4 shows a scatter plot of data from 400 patients with a log-scale representation of histo-metric against sonometric determination of tumour thickness originally using an ultrasound velocity of 1580 m/s. The values were recalculated using an assumption of 1564 m/s as ultrasound velocity in melanoma tissue instead. In the raw data, the slope of the regression line (B) rose from 0.82 to 0.84, still differing significantly from perfect correlation in which case B should equal 1.0. Accordingly, using log-transformed data the intersection with the ordinate (constant) rose from -0.28 to -0.26 only. Since this was a proportional operation, the measures of correlation were not affected.
Figure 4
Correlation between sonometric and histometric measurement of tumour invasion depth in 400 patients with primary malignant melanoma. Simple regression analysis revealed a correlation coefficient R = 0.92 (p < 0.0001), while the slope of the regression line (b = 0.82) was substantially differing from perfect correlation between both measures, in which case b should equal 1.0. As can be seen from the graph, sonometry was systematically overestimating tumour depth. After recalculation of the estimations using a different ultrasound velocity for melanoma tissue of 1564 m/s instead, the value of slope only rose to b = 0.84, which still accounted for a substantial overestimation compared to histological measurement.
Calculated ultrasound velocities in different parts of 4 individual primary melanomas. The 16 measurements gave a mean value of 1564 m/s (solid line). The dashed line represents the ultrasound velocity normally assumed in human skin (1580 m/s).Correlation between sonometric and histometric measurement of tumour invasion depth in 400 patients with primary malignant melanoma. Simple regression analysis revealed a correlation coefficient R = 0.92 (p < 0.0001), while the slope of the regression line (b = 0.82) was substantially differing from perfect correlation between both measures, in which case b should equal 1.0. As can be seen from the graph, sonometry was systematically overestimating tumour depth. After recalculation of the estimations using a different ultrasound velocity for melanoma tissue of 1564 m/s instead, the value of slope only rose to b = 0.84, which still accounted for a substantial overestimation compared to histological measurement.
Discussion
The recent proposal for a new staging system for malignant melanoma makes pathological staging of regional lymph nodes obligatory for all melanomas of more than 1.0 mm invasion depth [12]. Since most institutions have abandoned radical elective lymph node dissection for primary malignant melanoma, sentinel lymph node dissection (SLND) will be the preferred method for the assessment of the nodal status. SLND has been shown to give the most reliable results when the primary has not been removed at the time of lymphatic mapping. Therefore, preoperative determination of tumour thickness using high resolution ultrasound would be of great value in the staging process of primary malignant melanoma.Ultrasonographic measurements of melanoma invasion depth in vivo are usually made under the two assumptions. First, that ultrasound velocity in primary melanoma tissue equals that of normal skin. Second, that ultrasound velocity is constant in different individual tumours. As we could show, both assumptions can only partially be confirmed.Although we investigated only material from 4 different tumour specimens, our measurements indicate that in some melanomas the ultrasound velocity may be lower than the commonly accepted value of 1580 m/s. As a consequence, the estimated distances will be biased towards greater values in these tumours. Since the ultrasound velocity in biological tissues depends on certain characteristics of the particular tissue, it is not surprising that the velocity varies between individual tumors and even between different sites of normal skin [10].It is a consistent phenomenon that ultrasound derived estimates of melanoma invasion depth are statistically higher than the histological figures [5, 3, 7]. Several factors have been implied in the overestimation of tumour thickness including tissue shrinkage [8] during formalin fixation, or the presence of nevus cells or subtumoral inflammatory cells, both of which cannot be distinguished from the melanoma sonographically [4]. In contrast to this, the loss of skin tension after excision of the tumour leads to an increase in tumour thickness, partly eliminating the effect of shrinkage during fixation of the tissue [8]. Histological measurement of tumour invasion depth underestimates the 'true' invasion depth when step sections have not been performed. In their study of melanoma specimens less than 0.75 mm thick, Solomon et al.[13] found the maximum tumour thickness to be 25 percent larger when serial sequences were investigated as compared to the routine processing method. Therefore, the overestimated tumour thickness values may also reflect the more precise detection of the thickest part of the tumour by real-time sonographic imaging.While systematic overestimation is a statistical problem which can be compensated for by simple regression methods, accuracy is yet another problem in determining melanoma invasion depth sonographically. It has been correctly stated that even high correlation coefficients as given by several studies are not an appropriate measure of the usefulness of this method [5]. The strength of correlation between sonometry and histometry is influenced by different factors. First, all of the factors mentioned above not only have systematic influence but also contribute to the variation of sonometric or histometric measurements. Second, accuracy of both methods is limited. In histological measurement of invasion depth significant intra- and interobserver variation exists, revealing kappa statistics between only 0.49 and 0.76 among different pathologists [14, 15, 16].Corresponding data for sonographic measurements of melanomas are lacking, but based on studies of normal skin[17] and sonographic distance measurements in other clinical fields [18], a significant interobserver variability has to be assumed. Additionally, as we could show, the variances of ultrasound velocities between different tumours are significantly higher than variances within different parts of an individual tumour. This means that there are differences in ultrasound velocity among individual tumours. These differences constitute another source of error in sonographic distance measurements, although the relative amount of variation seems to be quite low.In summary, we could demonstrate that overestimation of the ultrasound velocity in primary melanoma tissue may be an additional reason for measurement bias in the prediction of melanoma thickness by high resolution sonography. Furthermore, our data show that tissue specific differences of ultrasound velocity may be a source of error in ultrasound determination of melanoma invasion depth, but with a maximal difference of about 1.5 percent from the mean value, the impact of this type of error seems to be limited.As we also illustrated, both the overestimation of the mean ultrasound velocity as well as its variation in different tissue specimens may only explain a small part of the deviation from histological measurements. For a better quantification of tumour specific variation of ultrasound velocity in malignant melanoma further investigations of larger samples are needed. For clinical purposes however, it will still be appropriate to use a setting of 1580 m/s for the ultrasonography of human skin including the imaging of malignant melanoma. Based on these findings, the use of preoperative thickness measurement in malignant melanoma can be advocated, especially when the performance of SLND in dependence on tumor thickness is intended.
Competing interests
None declared
Pre-publication history
The pre-publication history for this paper can be accessed here:
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