In the surgical treatment of nonpalpable breast lesions, such as in early-stage cancer, a hook-wire is inserted into the lesion as a marker to enable surgeons to excise the tissue, along with the hook-wire, with a good margin. However, a benchmark technique for intraoperatively determining whether the excised tissue has an appropriate margin around the lesion has not yet been established. In this study, a method for locating a ferromagnetic stainless steel hook-wire inside the excised tissue using a magnetometer is proposed. The magnetometer is placed around a phantom along with the hook-wire at varied locations to map the magnetic field distribution. The three-dimensional coordinates of hook-wire are obtained by executing an optimization algorithm. The experimental results indicate that the location of the hook-wire is successfully obtained. Based on the information regarding the margin around the hook-wire, the surgeon can immediately evaluate the risk of whether some cancer cells still remain in the body.

Breast cancer screening using mammography has enabled its early detection, thus resulting in desirable treatment outcomes.1 Often, the recommended course of treatment for breast cancer detected at stages I and II is breast-conserving surgery, whereby a surgeon removes the tumor, along with a certain margin, while leaving as much normal tissue as possible. In such surgeries, some surrounding healthy tissue is also excised to confirm that all the cancer tissue was removed.2,3 This is important for circumventing any local recurrence of tumor.4 Early-stage cancers may not be palpable, and therefore, a small implantable device can function as crucial a guide to mark the lesion for excision.5,6 A hook-wire is a typical marker device that is used globally. Before surgery, a hook-wire is inserted into the lesion using ultrasound imaging. Based on visual approximation, a margin is drawn around the area of insertion of the hook-wire. Subsequently, the surgeons operate on the entire suspicious area, including the margin. After the tissue is excised, it is conventionally sent for X-ray analysis to check the two-dimensional image of the hook-wire location and the margin around the hook-wire.3 If the margin is insufficient, reexcision is performed to avoid the risk of leaving some cancer cells in the body.7 However, inspecting the three-dimensional position of the hook-wire is crucial when checking the margin.

In this light, this study proposes an alternative method, wherein a commercially-available hook-wire is inserted to mark the lesion, and the magnetization of the hook-wire is measured using a magnetometer8,9 at the surface of the tissue specimen. The location of the hook-wire and margin around hook-wire can be determined by estimating the three-dimensional location of the tip of the hook-wire.

Figure 1 shows a schematic of the experimental setup comprising the phantom, magnetometer, and hook-wire. The magnetometer was equipped with a neodymium permanent magnet and two Hall sensors, both inside the cylindrical tip of the magnetometer.8 The sensors were placed along the symmetrical axis of the cylindrically shaped magnet.

The hook-wire used herein was manufactured by Argon Medical Devices (Breast localization needle) and is commercially available. It typically consists of two parts, namely, upper and lower parts. The lower part is rigid and designed in the shape of a hook, whereas the upper part is bendable. The length of the manufactured hook-wire was 300 mm.

In this study, the hook-wire was placed inside a phantom, and the bendable part of the hook was cut to reduce the overall length of the hook-wire to 50 mm, as shown in Fig. 2. The position of the hook-wire had three degrees of freedom defined by α, θ, and ψ, as shown in Fig. 3. Table I presents the variations in these three parameters. Phantoms were manufactured for each combination of the three parameters listed in Table I.

In the experiments performed herein, the position of the magnetometer was fixed to avoid any error caused by the earth’s magnetic field. Two actuators were used to move the phantom; one was used for the z-axis movement, whereas the other was used for rotational (Ω) movement. The actuator for the z-axis movement was varied every 10 mm for a total distance of 50 mm, whereas the actuator for the rotational movement was varied every 30°, covering 360°. Thus, the total number of sampling points was 5 × 12 = 60 points.

When the phantom containing the hook-wire with surrounding tissue came in close contact to the magnetometer, the permanent magnet induced magnetization in the hook-wire, and the Hall sensor detected the magnetic field generated by the hook-wire.8,9 The magnetometer recorded the magnetic field for each of the positions listed in Table I.

In the experiment, a finite number of points were defined around the phantom at which the magnetic field strengths were measured. To estimate the unknown target parameters α, θ, and ψ from the measured magnetic field, the relationship between the measured magnetic field and these parameters were modeled using a mathematical function, as defined in Eq. (1). This equation is based on trilinear interpolation and yields the magnetic field, fn, at the n-th recording point as a function of the three parameters, namely α, θ, and ψ. The coefficient bijk was determined using a set of equations expressed in Eq. (2).10 
(1)
(2)
where α0, α1, θ0, θ1, ψ0, and ψ1 denote any subsequent values in Table I. In Eq. (1), the ranges of α, θ, and ψ satisfy α0αα1, θ0θθ1, and ψ0ψψ1, respectively. Here i, j, and k are either 0 or 1. Given that Eq. (1) is based on a trilinear interpolation, f̂n is the measured value when α, θ, and ψ are identical to the values listed in Table I. Otherwise, fn returns a value estimated from the interpolation. This mathematical model was used in the optimization algorithm discussed in Sec. II B.
This section explains the algorithm used to optimize the values of α, θ, and ψ to locate the hook-wire. The stochastic gradient descent optimization algorithm was used to optimize the parameters. The main purpose of this step was to reduce the function Fα,θ,ψ, as described in Eq. (3).
(3)
where fnα,θ,ψ is the reference magnetic field defined in Eq. (1), and Bn is the magnetic field measured from a sample whose hook-wire has an unknown position. Gradient descent is an iterative algorithm that begins from a random point on a function and travels down its slope in steps until it reaches the minimum. Herein, optimization was performed on the test dataset to obtain the optimal combination of α, θ, and ψ. The gradient of the objective function 9 [Eq. (3)] with respect to each of the three parameters was calculated. Furthermore, as shown in Eq. (4), the step sizes to update each parameter were calculated by multiplying the gradient with the learning rate, ɛ, which was set to be 0.01. The parameters were updated with these step sizes, and this process was repeated until the gradient diminished to an appropriate amount. This optimization algorithm considered nine initial points, which is sufficient for calculating the minima and determining the target parameters.
(4)
The objective of this study was to obtain the three-dimensional location of the tip of the hook-wire in the sample. The values of α, θ, ψ were used to calculate the location of the tip of the hook-wire in the Cartesian coordinate system. In Fig. 4, R is the radius of curvature of the bendable part, R′is the shortest length made by the arc, λ is the length of the arc, x′is the distance between the ends of the bendable part along the x-axis, and z′ is the distance in the z-axis owing to only the bendable part. Further, L is the length of the rigid part of the hook-wire, x″ is the distance between the ends of the rigid part on the x-axis, and z″ is the distance on the z-axis made by the same. Therefore, the total lengths made by the entire hook-wire in the x- and z-axes are expressed by Eq. (5).
(5)
Equation (6) yields the x-, y-, and z-axis coordinates of the tip of the hook-wire. Thus, the margin of the hook-wire from the sidewall of the phantom or the top wall of the phantom can be calculated, as follows:
(6)

The results of the experiment showed a variation in the magnetic field strength based on the location of the hook-wire. Figure 5(a) shows a schematic of the hook-wire when α is 0° and 30°. Figure 5(b) shows the x-axis value for various values of α. Evidently, when α was 0° (x-axis value at 0), the distance between the magnetometer and hook-wire was 20 mm. Whereas when α was 30°, the x-axis value was 18.2 mm, essentially corresponding to a distance between the magnetometer head and tip of the hook-wire of 1.8 mm. Figure 5(c) shows the variations in the magnetic field strength due to variations in α. A maximum magnetic field strength of 58.7 μT was obtained when α was 20°, and it was reduced to 33.2 µT when α was increased to 30°. This reduction in the magnetic field strength was due to a shift in the tip of the hook-wire in the positive direction along the z-axis owing to variations in α. When α was 30°, the tip of the hook-wire moved further in the positive direction, and hence, the magnetic field strength detected by the magnetometer at that point was reduced.

Figure 6(a) demonstrates a case in which the hook of the hook-wire was 180° opposite to the magnetometer head. For these cases, the angle ψ was constant at 180°, whereas α was varied. Figure 6(b) shows the magnetic field variation when the z-axis location of the magnetometer was −50 mm. As the hook part was bent, a variation in magnetic field strength was observed over α variation. A difference in the magnetic field strength of 22 µT was observed when α was increased from 20° to 30°. This is because when α was increased, the magnetic field strength increased owing to the proximity of the hook with the magnetometer head.

The value of θ was varied to understand its effect on the magnetic field strength, while α and ψ remained fixed. Three values of α = 0°, 10°, and 30°, were examined, while maintaining ψ as constant at 0°. Figure 7(a) shows the orientation of the hook-wire and the sample with α of 0°, 10°, and 30°. Figure 7(b) shows the magnetic field strength at α = 0°, 10°, and 30° while varying θ (0°–360°). Evidently, when α was 30°, and θ = 0°, the magnetic field strength was at a maximum of 33 μT. The difference in the value of the magnetic field between θ = 0° and 180° was ∼35 µT [Fig. 7(b)]. By contrast, when α was 0°, the magnetic field strength remained almost the same with the variation in θ because the distance between the tip of the hook-wire and head of the magnetometer did not change.

The optimization algorithm was based on the dependence of the measured magnetic field strength on α, θ, and ψ. To validate the efficacy of optimization algorithm, ten experiments were performed for all of the combination of initial parameters provided in Table I. In these cases, the algorithm worked successfully and gave errors of less than 0.5 mm. To establish the efficacy, four black-box experiments were conducted. In these experiments, the hook-wire was placed in a random orientation, which was not previously recorded. In the black-box experiments, the magnetometer recorded one dataset (60 sampling points), which was then input to the optimization algorithm.

Table II presents a comparison of the three-dimensional location of the hook-wire input and output data based on four datasets. The average error for the x-, y-, and z-axes were calculated and found to be 0.4, 6.2, and 0.8 mm, respectively. The maximum error of 14.1 mm was observed for the y-axis because the orientation of the hook-wire led to a similar type of dataset in some cases, and the θ variation was comparatively higher in the output. The error was found to be within 2 mm after implementing the optimization algorithm on the provided data for the x- and z-axes. In a previous clinical trial of breast-conserving surgery, the mean size of the lesion was 11.1 mm, ranging from 0 to 33 mm.11 Sizes of surrounding normal tissue largely differ between surgeons. These sizes of lesion suggest that the errors found in this study are in an acceptable range for relatively large lesions. Patients having large lesions can be selected preoperatively using X-ray or ultrasound imaging. Our future work will be to improve further the accuracy of estimation, introducing a multi-point measurement can be effective. This can be realized by implementing a multi-axis sensor in the magnetometer.

In this study, a magnetometer was employed to locate the hook-wire commonly used for breast-conserving surgery in stage I and stage II cancer for nonpalpable lesions. A method to calculate the three-dimensional location of the tip of the hook-wire using the induced magnetic field strength data of the hook-wire was established. Numerical and experimental results revealed that the location of the tip of the hook-wire could be successfully estimated with the maximum error of 14.1 mm. This effective algorithm for locating the hook-wire can allow surgeons to remove the tissue containing the hook-wire accurately during procedure.

This work was supported by the MEXT Quantum Leap Flagship Program (MEXT Q-LEAP), Grant Numbers JPMXS0118067395 and JPMXS0118068379.

The authors have no conflicts to disclose.

Oiendrila Bhowmik Debnath: Investigation (equal); Writing – original draft (equal). Akihiro Kuwahata: Investigation (equal); Methodology (equal). Yuki Sunaga: Formal analysis (equal); Software (lead). Shinichi Chikaki: Methodology (equal); Validation (equal). Miki Kaneko: Methodology (equal); Validation (equal). Moriaki Kusakabe: Funding acquisition (lead); Project administration (lead). Masaki Sekino: Supervision (equal).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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