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.
I. INTRODUCTION
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.
II. MATERIALS AND METHODS
A. Experimental setup
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.
B. Algorithm for determining target parameters
III. RESULTS AND DISCUSSION
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.
IV. CONCLUSION
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.
ACKNOWLEDMENTS
This work was supported by the MEXT Quantum Leap Flagship Program (MEXT Q-LEAP), Grant Numbers JPMXS0118067395 and JPMXS0118068379.
AUTHOR DECLARATIONS
Conflict of Interest
The authors have no conflicts to disclose.
Author Contributions
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).
DATA AVAILABILITY
The data that support the findings of this study are available from the corresponding author upon reasonable request.