1. Background
Although complete tumor resection is the optimum treatment for breast carcinoma, breast conservation surgery has recently become the standard operation and an increasingly common treatment for ductal carcinoma in situ (DCIS) and breast carcinoma (1-3). For determining the extent of the lesion and the presence of multifocal or multicentric lesions, patients with breast carcinoma undergo preoperative evaluations including breast magnetic resonance imaging (MRI), which has proven to be the most sensitive tool for the detection of breast carcinoma (4-7). Even though the use of preoperative breast MRI is increasing, controversy still exists for low specificity, unnecessary mastectomies, and cost-effectiveness (8). Recently, some studies have reported that MRI should be selectively used in patients with a maximum likelihood of additional information (9, 10).
When a lesion appears to be suspicious on an MRI image but is not observed on conventional imaging, targeted ultrasound imaging of the MRI-detected lesion is commonly performed for its detection and characterization. When the lesion has suspicious malignant features on targeted ultrasound, ultrasound-guided biopsy must be performed (11).
The relative limitations of handheld ultrasound (HHUS) are well documented, including high operator-dependence and poor standardization of the technique, which can result in missed cancers and unnecessary biopsies, additional medical expenses, and patient anxiety. With the development of high-frequency transducers, the automated breast volume scanner (ABVS) has achieved automation and high resolution. Furthermore, automation of the ultrasound scanning has eliminated the problem of operator subjectivity and variation. The ABVS technique is reproducible and allows interpretation at a soft-copy display workstation, optimizing the radiologist’s reading environment (12); however, the detection rate and accuracy of conjunctive and disjunctive combination of each ultrasound modality (HHUS and ABVS) have not yet been evaluated.
2. Objectives
The objective of our study was to compare the diagnostic performance using handheld ultrasound (HHUS), automated breast volume scanner (ABVS), and the combination method for the suspicious lesions found on MRI.
3. Patients and Methods
3.1. Patient Population
The Institutional review board approved this study and all enrolled patients provided informed consent. We prospectively enrolled breast cancer patients who underwent HHUS and ABVS scanning for newly detected lesions found via preoperative breast MRI. Between March 1, 2014, and September 30, 2014, 40 patients (120 total lesions) were enrolled in our study. The mean age of the 40 patients was 50.7 years (30 - 76 years). Of the study population, all patients underwent mammography and HHUS before the MR examinations. Whole breast ABVS and an additional HHUS scan were performed for the additionally detected suspicious lesions on MRI.
The final diagnosis was based on needle biopsy (ultrasound or MR-guided) or surgical result in most cases. Of these 120 lesions, 76 were malignant: 61 cases of invasive ductal carcinoma (IDC), eight cases of DCIS, four cases of mucinous carcinoma, two cases of invasive micropapillary carcinoma, and one case of invasive lobular carcinoma. In addition, 31 nonmalignant lesions were identified: eight fibrocystic changes, one fibroadenoma, 10 ductal hyperplasia, one stromal fibrosis, one fat necrosis, one columnar cell hyperplasia, two intraductal papilloma, two atypical ductal hyperplasia (ADH), four lobular neoplasia, and one flat epithelial atypia. No biopsy procedure (no 1:1 confirmation) was performed for the remaining 13 lesions. These lesions did not change or disappear by MRI follow-up (12 - 24 months) and were suggested to be benign (Table 1).
Table 1.Patients' Characteristics
| Characteristics | Data |
|---|---|
| Person age (n = 40) | Mean 50.7 (range 30 - 76) |
| Lesion size (n = 120) | Mean 1.58 cm (± 1.64) |
| Pathology | |
| Benign (35) | Fibrocystic changes (8) |
| Fibroadenoma (1) | |
| Ductal hyperplasia (10) | |
| Stromal fibrosis (1) | |
| Fat necrosis (1) | |
| Columnar cell hyperplasia (1) | |
| No change by MR follow-up (13) | |
| Borderline, high-risk (9) | Intraductal papilloma (2) |
| Atypical ductal hyperplasia (2) | |
| Lobular neoplasia (4) | |
| Flat epithelial atypia (1) | |
| Malignancy (76) | Invasive ductal carcinoma (61) |
| Ductal carcinoma in situ (8) | |
| Mucinous carcinoma (4) | |
| Invasive micropapillary carcinoma (2) | |
| Invasive lobular carcinoma (1) | |
3.2. MRI Technique and Interpretation
The MRI scans were acquired with the patient in the prone position in a 3.0 T Verio scanner (MagnetomVerio, Siemens Medical Solutions, Erlangen, Germany) with a breast coil. The following sequences were used in this study: axial, turbo spin-echo T2-weighted imaging (repetition time (TR)/echo time (TE) 4530/93 ms, flip angle 80°, 34 slices with field of view (FOV) 320 mm, matrix 576 × 403, 1 number of excitations (NEX), 4 mm slice thickness, acquisition time 2 minutes 28 second). Pre- and post-contrast, axial, T1-weighted flash three dimensional (3D), volumetric interpolated breath-hold examination (VIBE) (TR/TE 4.4/1.7 ms, flip angle 10°, 1.2 mm slice thickness with no gap, acquisition time 60 second). The post-contrast scans were obtained at 7, 67, 127, 187, 247, and 367 seconds after injection of 0.1 mmol/kg gadopentetate dimeglumine (Gd-DPTA). MRI was interpreted based on the American college of radiology-breast imaging reporting and data system (ACR-BI-RADS) (13). Additionally detected suspicious lesion on MRI means above BI-RADS category 4. In this study, the breast cancer patients who had newly been detected with an additional suspicious lesion on MRI (above BI-RADS category 4 and BI-RADS category 6 [known cancer] lesions) were enrolled.
3.3. Mammography and Ultrasound Imaging Technique
Conventional mammography with two views per breast was obtained using two units of Selenia (Hologic; Bedford, MA, USA) and Mammomat Inspiration (Siemens; Erlangen, Germany).
Handheld ultrasound (HHUS) was performed using two units of a 6- to 14-MHz linear-array transducer (EUB-8500 scanner, Hitachi Medical, Tokyo, Japan) and a 7- to 15-MHz linear-array transducer (iU22 Ultrasound system, Philips Healthcare). An MRI-directed (“targeted”) HHUS was performed an average of 3.6 ± 2.0 days (range, 1 - 10 days) after MRI by two expert breast radiologists with 10 and 12 years of experience. Radiological technologists were not involved in the HHUS studies.
Automated breast volume scanner (ABVS) was performed the same day as targeted HHUS. The scanning unit of ABVS contains a 5- to 14-MHz linear transducer (ACUSON S2000 ABVS system, Siemens Medical Solutions, Mountain View, CA, USA). This wide-aperture transducer can capture a volume of 17 × 15 × 6 cm3 in a single scan. The ABVS generates 318 2D slices with 0.5 mm thickness in the axial-direction single scan. The scan number required to image the whole breast without missing any parts depends on the patient’s breast size. The diagnostic workstation unit of ABVS processes the 3D volume dataset in various multiplanar reconstructions and directions. In this study, axial-, coronal-, and sagittal-direction scans were performed. A radiological technologist performed the ABVS scanning after receiving instruction concerning how to handle the equipment and completing a one-month training period. The scans of all 40 patients were interpreted by two expert breast radiologists with 10 and 12 years of experience. The radiologists reached a consensus without knowing the results of the targeted HHUS.
Mammogram and ultrasound without knowledge of MRI were interpreted based on the American College of Radiology-Breast imaging reporting and data system (ACR-BI-RADS) (13, 14). In case of an additionally detected suspicious lesion on MRI, the detections on HHUS and ABUS were determined.
We reviewed each modality independently and evaluated the detection sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each modality. We analyzed the conjunctive and disjunctive combination results of two ultrasound modalities. In the conjunctive combination, non-detection on both the second HHUS and ABVS scans was defined as negative and detection on either the second HHUS or ABVS scans was defined as positive image. In the disjunctive combination, non-detection on either the second HHUS or ABVS scans was defined as negative and detection on the both the second HHUS and ABVS scans was defined as positive. We then compared them with or without knowledge of MRI. We correlated the results with the pathology results after the final surgical treatment. In addition, we compared the detected lesion size between MRI and the two ultrasound modalities.
3.4. Data Analysis
Patient information, including clinical data, imaging data and pathology results, was collected from the hospital’s data systems. A statistical analysis of differences in the detection rate of the HHUS and ABVS techniques was performed using the McNemar test. Statistical analyses were conducted using the Chi-square test. The Fisher’s exact test and Wilcoxon rank sum test were used to evaluate the association between MRI factors and targeted HHUS and ABVS scanning. We compared lesion size measured by MRI versus HHUS and ABVS scanning using Bland-Altman Graphs. All statistical analyses were performed using MedCalc version 12.7 (MedCalc Software, Mariakerke, Belgium) and the software package SAS Enterprise Guide 5.1 (SAS Institute, Inc, Cary, North Carolina).
4. Results
From March to September on 2014, both ABVS and HHUS scanning were performed for 40 patients with 120 suspicious lesions detected via breast MRI. Seventy-six malignant and 44 non-malignant lesions were included (Table 1).
Table 2 shows the cancer detection accuracy on conventional imaging methods with and without knowledge of MRI. With knowledge of MRI, the cancer detection sensitivities of HHUS, ABVS, and their conjunctive and disjunctive combinations were higher than those without knowledge of MRI (94.7%, 98.7%, 100%, and 93.4% vs. 65.8%, 64.5%, 67.1%, and 63.2%) (Figure 1). In the conjunctive combination of HHUS and ABVS techniques, the sensitivities were improved in both cases with and without knowledge of MRI. In the disjunctive combination of HHUS and ABVS techniques, the specificities were improved in those with and without knowledge of MRI.
Figure 1.
Images from a 68-year-old woman with right breast cancer (1-o’clock position, invasive ductal carcinoma (black arrow)) who underwent breast MRI for preoperative staging. A, Maximal intensity projection (MIP) reconstruction image showed two additional suspicious enhancing masses (white arrow and arrowhead) at the 1-o’clock position in the right breast. B, Three orthogonal planes (axial, sagittal, and coronal) of the right breast on the automated breast volume scanner (ABVS) revealed the known invasive ductal carcinoma (IDC) (black arrow). C, Three orthogonal planes (axial, sagittal, and coronal) of the right breast on the ABVS show the known IDC (black arrow) and an additional MRI detected suspicious lesion (white arrow). D, The axial plane of the right breast on the ABVS shows an additional MRI detected suspicious lesion confirmed as lobular neoplasia (white arrow). This lesion was not seen by handheld ultrasonography (US) imaging. E, Three orthogonal planes (axial, sagittal, and coronal) of the right breast on the ABVS show the other MRI detected suspicious lesion (white arrowhead). F, The axial plane of the right breast on the ABVS shows the additional MRI detected suspicious lesion confirmed as ductal carcinomas in situ (DCIS) (white arrowhead). This lesion was not seen by handheld US imaging. Surgical management was changed from breast-conserving surgery to a simple mastectomy.
Without MRI, ultrasound detected lesions are larger than non-detected lesions (P value < 0.05). Without MRI, DCIS showed a significant lower detection rate than invasive cancer (P value < 0.05) (Table 3). With knowledge of MRI, HHUS and ABVS imaging detected most lesions, irrespective of size and DCIS (Table 3).
The size of the lesions on MRI correlated more with those detected using ABVS than HHUS (Figure 2).
Figure 2.
Comparisons of lesion size measured using MRI versus handheld ultrasound (HHUS) and automated breast volume scanner (ABVS) using Bland-Altman graphs. A, Comparisons of lesion size measured using MRI and HHUS. B, Comparisons of lesion size measured by MRI and ABVS. C, Comparisons of lesion size measured using HHUS and ABVS.
5. Discussion
Breast MRI has been shown to be the most sensitive tool for the detection of breast cancer (4-7). Previous studies revealed that breast MRI is a reliable imaging modality for predicting tumor extension and for the detection of additional ipsilateral and contralateral tumor foci (15, 16). Exact treatment planning and accurate tumor removal is of the utmost importance (7).
Recently, breast-conserving surgery (BCS) for early breast cancer has proven to be as effective as conventional mastectomy in terms of the long-term survival rate and the recurrence rate (1-3). In addition, BCS is more esthetic than conventional mastectomy. Because the relative contraindications of BCS include multifocal malignancies and large tumor size, a precise preoperative evaluation of breast cancer, such as the extent of the disease and the existence of multifocal or multicentric disease, is needed for performing BCS (17).
The preoperative breast MRI has been shown to be the most sensitive tool for detecting breast cancers, but this technique has some shortcomings, such as false positive findings, possible over diagnosis, and unnecessary resections (7). National and international guidelines and the European society of breast cancer specialists (EUSOMA) recommended the use of preoperative breast MRI for selected patients with multifocal disease, lobular carcinoma, high parenchymal density, extensive DCIS, and occult primary tumor (7, 18-20). In the recent reports, they stated that the use of preoperative breast MRI should be selective and only used in patients with a maximum likelihood of additional information (7, 9, 10). In a report to reveal a better selection of patients who should undergo preoperative breast MRI, they recommended that premenopausal state, lobular carcinoma, and high parenchymal density should be embedded in clearly defined guidelines for the use of preoperative breast MRI in patients with known breast cancer (7). In our study, the overall cancer detection sensitivity of mammography was 47.4%; 60% in fatty breast and 42.9% in dense breast. The cancer detection sensitivities of HHUS and ABVS scanning without knowledge of MRI were 65.8%, and 64.5%, respectively. Especially in patients with small-sized lesions and DCIS, ultrasound without knowledge of MRI showed a lower detection rate than ultrasound with knowledge of MRI (P value < 0.05). With knowledge of MRI, HHUS and ABVS detected most lesions, irrespective of size and DCIS. Although we only enrolled breast cancer patients who underwent HHUS and ABVS for newly detected lesions found via preoperative breast MRI, this result shows that other conventional image modalities can not replace the preoperative MRI.
Table 2.Cancer Detection Accuracy (N = 120 Lesions)
| Variables | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|
| Pre-MRI (without MRI) | ||||
| MMG (categorya) | 47.4 | 93.2 | 92.3 | 50.6 |
| Fatty breast (1 + 2) | 60.0 | 90.5 | 85.7 | 70.4 |
| Dense breast (3 + 4) | 42.9 | 95.7 | 96.0 | 40.7 |
| 1st HHUS detectionb | 65.8 | 59.1 | 73.5 | 50.0 |
| ABVS detectionb | 64.5 | 68.2 | 77.8 | 52.6 |
| Conjunctiveccombination detection | 67.1 | 56.8 | 72.9 | 50.0 |
| Disjunctived combination detection | 63.2 | 75.0 | 81.4 | 54.1 |
| 1st HHUS categorya (n = 68) | 56.6 | 100.0 | 100.0 | 57.1 |
| ABVS categorya (n = 63) | 59.2 | 97.7 | 97.8 | 58.1 |
| Post-MRI (with MRI) | ||||
| 1st + 2nd HHUS detectionb | 94.7 | 13.6 | 65.5 | 60.0 |
| ABVS detectionb | 98.7 | 6.8 | 64.7 | 75.0 |
| Conjunctiveccombination | 100.0 | 6.8 | 65.0 | 100.0 |
| Disjunctived combination | 93.4 | 13.6 | 65.1 | 54.6 |
Abbreviations: ABVS, automated breast volume scanner; HHUS, handheld ultrasound; MMG, mammography; NPV, negative predictive value; PPV, positive predictive value.
aCategory: category 1, 2, and 3 were defined as negative category (-), 4, 5, and 0 were defined as positive category (+) given to MMG, 1st HHUS category, ABVS category, and MRI.
bDetection: non-detection was defined as negative (-), detection was defined as positive (+) given to HHUS, ABVS, conjunctive and disjunctive combination detections.
cConjunctive combination: non-detection; non-detection on both the 2nd HHUS and ABVS scans; detection; detection on either the 2nd HHUS or ABVS scans.
dDisjunctive combination: non-detection; non-detection on either the 2nd HHUS or ABVS scans; detection; detection on the both the 2nd HHUS and ABVS scans.
With knowledge of MRI, all modalities showed extremely low specificity because the analyzed lesions were already suspicious on MRI. Based on the known fact that the specificity for breast MRI is variable, our result showing low specificity on ultrasonography (USG) has a different meaning from the specificity of ultrasound alone. In this study, the breast cancer patients who had newly been detected with an additional suspicious lesion on MRI (above BI-RADS category 4 and BI-RADS category 6 [known cancer] were enrolled. The patients who had proven cancer(s) with/without non-suspicious lesions on MRI (BI-RADS category 6) were not included. MRI had high sensitivity and found a lot of suspicious looking lesions later proven benign and borderline lesions. With knowledge of MRI, the rates of non-detected lesion on ABVS and HHUS were very low. So, the specificities of HHUS and ABVS with knowledge of MRI could be low. The detection sensitivity of ultrasound on the MRI-detected lesions had the most significant value. In addition, because of the suspiciously malignant findings on the MRI image, MRI-detected lesions were not evaluated by BI-RADS ultrasound categories.
Nevertheless, if a suspicious finding on an MRI image is found, a subsequent biopsy should be performed for preoperative staging; however, MRI-guided biopsy is expensive, time-consuming, and uncomfortable for the patient (11). Targeted ultrasound may visualize and further characterize these lesions and facilitate ultrasound-guided biopsy when correlated with MRI findings (21). Therefore, when abnormalities detected by MRI lack visualization on conventional imaging (mammograms or first breast ultrasound), a targeted or MRI-directed ultrasound is commonly performed to further characterize the MRI findings (22).
The role of targeted ultrasound has been investigated by several authors (11, 21, 23-29). Previous studies showed that the frequency of which MRI-detected lesions are found by ultrasound ranges from 23% to 89%. The mean detection rate of ultrasound was 63%. Carbognin et al. documented that more than 90% of lesions > 10 mm were detected on ultrasound when compared with lesions that were 10 mm or less. Wiratkapun et al. reported a statistically significant direct association between increasing MRI mass lesion size and the ultrasound detection rate (odds ratio = 1.23). In this study, ultrasound without knowledge of MRI showed a lower detection rate for small-sized lesions (P value < 0.05). However, ultrasound with knowledge of MRI showed no significant association between the detection rate and lesion size.
| Pre-MRI (Without MRI) | Post-MRI (with MRI) | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MMG | P value | 1st HHUS | P value | ABVS | P value | 1st and 2nd HHUS | P value | ABVS | P value | Conjunctive | P value | Disjunctive | P value | ||||||||
| (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | ||||||||
| Detection | 81 (67.5) | 39 (32.5) | 52 (43.3) | 68 (56.7) | 57 (47.5) | 63 (52.5) | 10 (8.3) | 110 (91.7) | 4 (3.3) | 116 (96.7) | 3 (2.5) | 117 (97.5) | 11 (9.2) | 109 (90.8) | |||||||
| Pathology | < 0.0001 | 0.0261 | 0.0022 | 0.0941 | 0.1515 | 0.0569 | 0.1455 | ||||||||||||||
| 1- Benign | 33 (40.7) | 2 (5.1) | 20 (38.5) | 15 (22.1) | 24 (42.1) | 11 (17.5) | 6 (60.0) | 29 (26.4) | 3 (75.0) | 32 (27.6) | 3 (100.0) | 32 (27.4) | 6 (54.6) | 29 (26.6) | |||||||
| 2- Borderline | 8 (9.9) | 1 (2.6) | 6 (11.5) | 3 (4.4) | 6 (10.5) | 3 (4.8) | 0 (0.0) | 9 (8.2) | 0 (0.0) | 9 (7.8) | 0 (0.0) | 9 (7.7) | 0 (0.0) | 9 (8.3) | |||||||
| 3- Malignancy | 40 (49.4) | 36 (92.3) | 26 (50.0) | 50 (73.5) | 27 (47.4) | 49 (77.8) | 4 (40.0) | 72 (65.5) | 1 (25.0) | 75 (64.7) | 0 (0.0) | 76 (65.0) | 5 (45.5) | 71 (65.1) | |||||||
| Lesion type in MRI | 0.9285 | 0.1597 | 0.1456 | 0.0145 | 0.0168 | 0.0788 | 0.0037 | ||||||||||||||
| 1- mass | 67 (82.7) | 32 (82.1) | 40 (76.9) | 59 (86.8) | 44 (77.2) | 55 (87.3) | 5 (50.0) | 94 (85.5) | 1 (25.0) | 98 (84.5) | 1 (33.3) | 98 (83.8) | 5 (45.5) | 94 (86.2) | |||||||
| 2- non-mass | 14 (17.3) | 7 (18.0) | 12 (23.1) | 9 (13.2) | 13 (22.8) | 8 (12.7) | 5 (50.0) | 16 (14.6) | 3 (75.0) | 18 (15.5) | 2 (66.7) | 19 (16.2) | 6 (54.6) | 15 (13.8) | |||||||
| Lesion size in MRI, | 1.2 ± 1.5 | 2.3 ± 1.7 | < 0.0001 | 1.3 ± 1.6 | 1.8 ± 1.6 | 0.0053 | 1.2 ± 1.6 | 1.9 ± 1.6 | 0.0002 | 1.5 ± 1.3 | 1.6 ± 1.7 | 0.8640 | 2.0 ± 1.4 | 1.6 ± 1.7 | 0.3676 | 2.2 ± 1.6 | 1.6 ± 1.6 | 0.3811 | 1.5 ± 1.2 | 1.6 ± 1.7 | 0.8021 |
| Cancer type | 0.0590 | < 0.0001 | < 0.0001 | 0.3652 | 0.1053 | - | 0.0831 | ||||||||||||||
| Invasive cancersc | 33 (82.5) | 35 (97.2) | 18 (69.2) | 50 (100) | 19 (70.4) | 49 (100.0) | 3 (75.0) | 65 (90.3) | 0 (0.0) | 68 (90.7) | 0 (0.0) | 68 (89.5) | 3 (60.0) | 65 (91.6) | |||||||
| DCIS | 7 (17.5) | 1 (2.8) | 8 (30.8) | 0 (0.0) | 8 (23.6) | 0 (0.0) | 1 (25.0) | 7 (9.7) | 1 (100.0) | 7 (9.3) | 0 (0.0) | 8 (10.5) | 2 (40.0) | 6 (8.5) | |||||||
Abbreviations: ABVS, automated breast volume scanner; DCIS, ductal carcinoma in situ; HHUS, handheld ultrasound; MMG, mammography.
aValues are expressed as No. (%) or mean ± SD.
bStatistics were carried out using Chi-square test, Fisher’s exact test and Wilcoxon rank sum test.
cInvasive cancer: invasive ductal cancer, invasive micropapillary cancer, mucinous cancer, and invasive lobular cancers
In this study, the detection rate using ABVS was higher than that using HHUS (98.7% vs. 94.7%, P < 0.05) with knowledge of MRI, demonstrating the advantage of ABVS over HHUS scanning for standardized, reproducible, and bilateral whole-breast imaging. In contrast to HHUS, which is a real-time examination, the reader can review the whole images scanned by ABVS reproducibly. This advantage could reduce the number of missed diagnoses. The ABVS also provides a more accurate view than HHUS for evaluating breast masses because each cross-sectional plane of the scanned images can be visualized. The ability to scan a 3D volume of both breasts allows the images to be reviewed irrespectively of the location and time of the actual examination. These characteristics make the ABVS a promising diagnostic tool for targeted ultrasound. Additionally, the size of the lesions on MRI correlated more with those detected using ABVS than HHUS.
However, the utility of real-time imaging by HHUS to determine the mobility of the lesion is an important feature that is not available with the ABVS. Moreover, detection on HHUS is needed for an ultrasound-guided biopsy. If the initial ultrasound was performed by ABVS and a targeted ultrasound is necessary, a re-review of the ABVS images could be useful without requiring the patient to return for a targeted HHUS examination. In conjunctive combination of HHUS and ABVS techniques, the detection sensitivities were improved in both cases with and without knowledge of MRI. In disjunctive combination of HHUS and ABVS techniques, the specificities were improved with and without knowledge of MRI.
Our study was limited by the small study population size. Furthermore, we only enrolled lesions detected on MRI so we could not judge other lesions that might be missed in MRI. However, to our knowledge, this report was the first study to analyze the clinical utility, which includes detection rate and diagnostic accuracy of the combined use of ABVS and HHUS for MRI-detected lesions.
With knowledge of MRI, HHUS and ABVS imaging detected most lesions and the conjunctive combination of HHUS and ABVS showed the highest sensitivity. The sensitivity of ABVS was higher than HHUS, and the size of the lesions on MRI correlated more with those detected using ABVS than HHUS. Therefore, after preoperative MRI, ABVS imaging could be suggested for optimally targeted ultrasound methods. Then, the HHUS technique could be selected for ultrasound-guided biopsy or additional targeted methods.
In conclusion, the role of MRI for preoperative assessment is irreplaceable. With knowledge of MRI, the conjunctive combination of HHUS and ABVS techniques showed the highest sensitivity. In additional, ABVS imaging is better for preoperative evaluation than HHUS.
