The value of contrast-enhanced ultrasound fusion imaging in percutaneous liver biopsy for liver lesions invisible on conventional B-mode ultrasound
Introduction
In recent years, with the development of multiple imaging modalities including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography-CT (PET/CT), the detection of focal liver lesion (FLL) has significantly improved. In turn, this has increased the requirement for percutaneous liver biopsy (PLB), which is the gold standard of diagnosis and the cornerstone of therapy for patients with FLLs (1-4). As the most commonly used image guidance for the PLB, ultrasound (US) is a real-time, accessible, nonradioactive, and affordable modality (5,6). Apart from the experience of the operator, the success rate of PLB also depends largely on the accurate targeting of FLLs, which can increase operators’ confidence and prevent the need for a second biopsy or false-negative results.
An inherent limitation of conventional B-mode US (BMUS), apart from its single-acoustic window, is the poor conspicuity of several FLLs in obese patients or that arising due to bowel gas/rib echo, which can lead to a lost opportunity to complete US-guided PLB or other minimally invasive interventional therapies (7). Although CT and MRI offer better resolution for soft tissue, the radiation, high cost, and possibility of renal affection and allergic reactions limit their use in imaging guidance for interventional procedures (8,9).
With the widespread use of US agents such as SonoVue (Bracco, Italy) and Sonazoid (GE Healthcare, Chicago, IL, USA), contrast-enhanced ultrasound (CEUS) has significantly contributed to the detection and diagnosis of FLLs that are poorly visualized on BMUS via the increase in the contrast ratio of blood vessels and liver parenchyma (10,11). For instance, CEUS-guided PLB with radiofrequency ablation (RFA) has achieved considerable technical success, with high sensitivity and specificity (12-15). The various enhancement patterns of CEUS allow for the viable portion of the tumor to be distinguished from the necrotic area, thus reducing the rate of false-negative results.
In facilitating the acquisition of multi-image information for physicians, the development of volume navigation and multiplanar reconstruction techniques allows for two-dimensional CT/MRI images and US images to be displayed in the same plane through registration based on vital anatomical marks. Fusion imaging improves the localization of target lesions that are indiscernible on BMUS due to the small size or specific localization (16,17), and its value in image guidance for PLB and RFA has been demonstrated in several studies (18-22).
Although both CEUS and fusion imaging can serve as imaging guidance for interventional therapies alone, they are each associated with certain limitations. For instance, in Lim et al.’s study, although the target hepatic lesion was clearly visualized on fusion imaging, there was still a chance of inaccurate localization of the target lesion during the biopsy procedure or RFA (23). Moreover, it has been reported that CEUS involves detection limits for deep lesion, hypovascular hepatocellular carcinoma (HCC) in a cirrhotic background and lesions near the subphrenic regions (24). Hence, CEUS should be performed for lesions that are invisible on fusion imaging. Our study thus aimed to compare the values BMUS-CT/MRI fusion imaging and that of CEUS-CT/MRI fusion imaging in PLB for FLLs that are invisible on BMUS. We present this article in accordance with the STROBE reporting checklist (available at https://qims.amegroups.com/article/view/10.21037/qims-24-1104/rc).
Methods
Patients
From September 2019 to December 2023, 736 patients with suspected FLLs from CT/MRI were referred to the Department of Ultrasound Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, to undergo PLB for confirmation of the diagnosis. The selection of image guidance for the biopsy procedure was decided upon by experienced operators as follows: (I) biopsy was performed under BMUS guidance only if the target lesion was sufficiently visible on BMUS. (II) If the lesion was not clearly visible and had a blurred boundary or if its echogram was insufficiently typical for localization on BMUS, further BMUS-CT/MRI fusion imaging was performed to improve the visualization of the target lesion. (III) CEUS-CT/MRI fusion imaging was performed to optimize the lesion localization if the target lesion remained unremarkable on BMUS-CT/MRI fusion imaging.
The inclusion criteria were as follows: (I) FLLs were detected by CT or MRI; (II) FLLs were invisible or had an inconspicuous margin on BMUS; (III) FLLs could be visualized on BMUS but had an echogram not sufficiently typical for localization of the target lesion, such as an unclear boundary between target tumors and hyperechoic nodules in the cirrhosis background; and (IV) patients received both BMUS fusion and CEUS fusion imaging.
The exclusion criteria were as follows: (I) lesions visible on BMUS and with sufficient visibility for guidance of the PLB; (II) lesions located in a sonographically blind area (e.g., subphrenic area of the right liver); (III) obvious bleeding tendency, severe thrombopenia, or coagulation disorders [prothrombin time activity <50%, international normalized ratio (INR) >1.7, blood platelet count <50×109/L]; (IV) uncooperative patients; and (V) patients with contraindications to CEUS.
This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and study was approved by the Institutional Ethics Committee of the Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University (No. 2022-140-01). Informed consent were obtained from all patients prior to biopsy.
Baseline characteristics
The baseline characteristics of all enrolled patients were collected, including gender, age, history of hepatitis, history of liver cirrhosis, history of tumor, and tumor markers (alpha-fetoprotein, carcinoembryonic antigen, carbohydrate antigen 125, carbohydrate antigen 199). The baseline characteristics of the target lesions, including size, localization, count, and final diagnosis, were also recorded.
Imaging equipment and reagents
The LOGIQ E9 system (performed with a 1–6 MHz convex probe; GE Healthcare) equipped with a real-time volume navigation system was used for US imaging and fusion imaging, which consisted of a magnetic field generator near the patient, and a tiny magnetic sensor attached to the US transducer. The magnetic field generator transmitted an alternating magnetic field and built up a three-dimensional (3D) spatial coordinate system around itself. The identity and direction detected by the magnetic sensor were then used to calculate the location and direction of the spatial coordinates. Both the magnetic field generator and the sensor were connected to a fully integrated magnetic tracking system embedded in the US machine. The contrast agents SonoVue (Bracco) and Sonazoid (GE Healthcare) were used for CEUS examination. Biopsy was performed with a disposable 18-gauge automated biopsy needle (Marquee, BD, Franklin Lakes, NJ, USA).
A 3.0-T MRI system (Ingenia 3.0T/Ingenia CX 3.0T, Philips Healthcare, Best, The Netherlands) was used for the MRI examination. Unenhanced, arterial-phase, portal-phase, and equilibrium-phase images were acquired using a 3D T1-weighted sequence with a multi-echo Dixon fat-water separation technique. A dose of 0.025 mmol/kg of Gd-EOB-DTPA (Primovist, Bayer, Leverkusen, Germany) or 0.1 mmol/kg of Gd-DTPA-BMA (Omniscan, GE HealthCare) was administered as an intravenous bolus. Patients imaged with Gd-EOBDTPA were additionally imaged in the hepatobiliary phase (HBP) after 20 minutes.
CT examinations were performed with a multidetector CT scanner (Revolution CT/Revolution Maxima; GE HealthCare) with a slice thickness of 1.25 mm. Hepatic arterial-, portal venous-, and equilibrium-phase images were obtained at 35, 65 and 180 seconds after the injection of contrast agent (350 mg I/mL; Omnipaque, GE HealthCare) at a rate of 4 mL/s and dose of 2 mL/kg body weight.
Fusion imaging procedure
BMUS-CT/MRI fusion
Prior to fusion imaging, radiologists reviewed the patient’s CT/MRI images to determine the most appropriate image for the fusion process. Artery phase and hepatobiliary specific phase images were generally preferred. The main fusion procedures were as follows: (I) the selected CT/MRI images were uploaded in Digital Imaging and Communications in Medicine (DICOM) format. (II) Real-time sonograms were registered with the uploaded CT/MRI images, including plane registration and point registration. Registration was first performed using the uniplanar method. Specific anatomical landmarks were then selected to achieve point-to-point registration. The most commonly used anatomical landmarks included portal vein bifurcation, hepatic vein, hepatic cyst, and calcification, among others. (III) Anatomical landmarks near the target lesion were selected to achieve a more precise registration. After registration, the distance between the same anatomical mark on both images was measured, and a distance <5 mm was considered to be a successful registration. (IV) The lesion was examined using multisectional scanning after the target lesion was localized by fusion imaging.
CEUS-CT/MRI fusion
A bolus of 1.2 mL of SonoVue or 0.6 mL of Sonazoid was administered, followed by a 5-mL flush of 0.9% sodium chloride solution via a peripheral venous line. We then observed the target lesion in real time and performed registration with the uploaded CT/MRI images. After successful registration, the contrast agent was injected again to facilitate localization of the target lesion and observation of the enhancement patterns.
Biopsy procedure
During CEUS fusion, when the lesions were at their clearest stage, all PLBs were performed by the same experienced radiologist. After routine local sterilization, draping and anesthesia, a 17-gauge trocar was inserted into the anterior margin of the tumor, with care being taken to avoid damage to the surrounding vital blood vessels and organs. An 18-gauge semiautomatic cutting needle was then passed along the trocar and placed in the central portion of the neoplasm. Needle direction was adjusted slightly during the procedure. After the biopsy tip was activated, the needle was withdrawn immediately. After the above-described procedures were repeated 2–5 times, the trocar was finally withdrawn. Local compression was applied for hemostasis. The obtained tissue was fixed in 10% formalin solution. Finally, color Doppler US was performed to detect local bleeding. An abdominal bandage was applied if no local bleeding was detected. Eating was prohibited after the biopsy. All patients were kept in bed, and their vital signs were monitored for 8 hours.
Detection rate, lesion visibility, and initial qualitative diagnosis
The detection rates of BMUS, BMUS fusion, and CEUS fusion were calculated and compared. For patients with infiltrative or multiple lesions, lesions selected for PLB were included in the calculation. Lesion visibility was graded on a four-point scale as follows: 1, not visible; 2, visible below 50% of the lesion border; 3, visible between 50% and 90% of the lesion border; and 4, visible above 90% of the lesion border (Figure 1). Technical success was considered to be the valid collection of the specimen. If the pathological result of the specimen obtained was consistent with the final diagnosis, the biopsy was considered a diagnostic success. Additionally, the radiologists made preliminary diagnoses of benign and malignant lesions based on the echo characteristics and enhancement patterns of the lesions during fusion imaging.
Final diagnosis and follow-up
If pathologic examination revealed specific characteristics of the neoplasm and provided accurate diagnosis, the pathological result was considered to be the final diagnosis. On the other hand, if the pathologic result of the specimen obtained was benign or negative, the final diagnosis was made by combining the results of laboratory tests and imaging findings. Follow-up was conducted in all patients for at least 6 months so that their treatment schedules could be recorded.
Data analysis
Statistical analysis was performed with a SPSS 22.0 (IBM Corp., Armonk, NY, USA). Quantitative data are presented as the mean ± standard deviation. Positive detection was defined as lesion visibility score >1. The detection rate between BMUS fusion and CEUS fusion was compared using the McNemar test. The Fisher exact test was used to compare lesion visibility. Propensity score matching analysis was performed to compare the visibility score of the nodular and infiltrative lesions. All reported P values were two-tailed. P<0.05 was considered statistically significant.
Results
Baseline characteristics
The study included 61 patients (70 lesions; males: 484; females: 252; mean age: 60.2±11.5 years; age range: 34–83 years) (Figure 2). Fifteen patients had a history of cancer, including liver cancer (n=9), duodenal cancer (n=4), breast cancer (n=1), and pancreatic cancer (n=1). Other baseline patient characteristics are summarized in Table 1. The lesions in 18 patients were identified as diffuse HCC, which was defined as multiple tumors diffusely distributed in the liver lobe or liver segment without obvious margins. The baseline lesion characteristics are shown in Table 2.
Table 1
Characteristic | Value |
---|---|
Age (years), mean ± SD [range] | 60.2±11.5 [34–83] |
Gender (male/female) | 42/19 |
Liver cirrhosis (yes/no) | 39/22 |
Hepatitis (HBV/HCV/ALD) | 43/1/1 |
Alpha-fetoprotein (≥10 ng/mL) | 34 |
Carcinoembryonic antigen (≥5 ng/mL) | 29 |
Carbohydrate antigen 125 (≥35 U/mL) | 20 |
Carbohydrate antigen 199 (≥27 U/mL) | 27 |
Final diagnosis | |
Pathology/clinical | 51/10 |
Malignant (primary HCC/ICC/HCC recurrence/metastasis) | 56 (36/8/4/8) |
Benign (inflammatory nodule/HGDN/RN/hepatic angiomatosis) | 4 (1/1/1/1) |
Uncertain | 1 |
SD, standard deviation; HBV, hepatitis B virus; HCV, hepatitis C virus; ALD, autoimmune hepatitis; HCC, hepatocellular carcinoma; ICC, intrahepatic cholangiocarcinoma; HGDN, high-grade dysplastic nodule; RN, regenerative nodule.
Table 2
Characteristic | Value |
---|---|
Diameter (cm), mean ± SD [range] | 4.5±4.1 [0.8–18] |
Lesion count | |
Single | 27 |
Multiple (2 lesions/3 lesions) | 10/6 |
Diffuse HCCs | 27 |
Location | |
Left robe | 12 |
Right robe | 40 |
Diffuse HCCs | 18 |
SD, standard deviation; HCC, hepatocellular carcinoma.
Registration of image fusion
The registration of BMUS fusion and CEUS fusion was successfully performed in all 61 patients. Forty CT images and sixteen MRI images were uploaded for registration. No severe complication was observed during the CEUS procedure. SonoVue was used in 50 patients, Sonazoid was used in 3 patients, and 7 patients received both SonoVue and Sonazoid.
Detection rate and visibility score
The mean visibility score of 70 lesions on BMUS was 1.51±0.52. BMUS fusion detected 31 (31/70, 44.3%) lesions, achieving a mean visibility score of 1.81±1.03. CEUS fusion detected 63 (63/70, 90%) lesions, achieving a mean visibility score of 2.90±0.30. Of the 39 lesions that were invisible on BMUS fusion, CEUS fusion corrected 33 (33/39, 84.6%) of them. Our study included 30 lesions with a diameter ≤2 cm and 40 lesions with a diameter >2 cm. The comparison of their visibility scores on BMUS fusion and CEUS fusion is shown in Table 3. As illustrated in Figure 3, the value of CEUS fusion in the detection and guidance of biopsies for lesions with a diameter of less than 2 centimeters is demonstrated. Moreover, subgroup analysis was conducted in patients with nodular (n=52) and infiltrative (n=18) lesions (Table 4). The results indicated that CEUS fusion significantly increased the visibility score of infiltrative liver lesions (P=0.012) (Figure 4).
Table 3
BMUS fusion | CEUS fusion | Total | |||
---|---|---|---|---|---|
Score 1 | Score 2 | Score 3 | Score 4 | ||
Total (n=70) | |||||
Score 1 | 6 (8.6) | 9 (12.9) | 15 (8.6) | 9 (12.9) | 39 |
Score 2 | 0 (0.0) | 4 (5.7) | 5 (7.1) | 2 (2.9) | 11 |
Score 3 | 1 (1.4) | 0 (0.0) | 7 (10) | 6 (8.6) | 14 |
Score 4 | 0 (0.0) | 0 (0.0) | 3 (4.3) | 3 (4.3) | 6 |
≤2 cm (n=30) | |||||
Score 1 | 0 (0.0) | 1 (3.3) | 7 (23.3) | 8 (26.7) | 16 |
Score 2 | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (6.7) | 2 |
Score 3 | 1 (3.3) | 0 (0.0) | 1 (3.3) | 5 (16.7) | 7 |
Score 4 | 0 (0.0) | 0 (0.0) | 2 (6.7) | 3 (10.0) | 5 |
>2 cm (n=40) | |||||
Score 1 | 6 (15.0) | 8 (20.0) | 8 (20) | 1 (2.5) | 23 |
Score 2 | 0 (0.0) | 4 (10.0) | 5 (12.5) | 0 (0.0) | 9 |
Score 3 | 0 (0.0) | 0 (0.0) | 6 (15.0) | 1 (2.5) | 7 |
Score 4 | 0 (0.0) | 0 (0.0) | 1 (2.5) | 0 (0.0) | 1 |
The count of lesions with different visibility scores is presented as the number (%). Score 1: not visible. Score 2: visible below 50% of the lesion border. Score 3: visible between 50% and 90% of the lesion border. Score 4: visible above 90% of the lesion border. BMUS, B-mode ultrasound; CEUS, contrast-enhanced ultrasound.
Table 4
Imaging methods | Total cohort | PSM cohort | |||||
---|---|---|---|---|---|---|---|
Nodular, n=52 | Infiltrative, n=18 | P value | Nodular, n=16 | Infiltrative, n=16 | P value | ||
BMUS | 1.51±0.93 | 1.36±0.66 | 0.648 | 1.44±0.96 | 1.19±0.54 | 0.499 | |
BMUS fusion | 1.81±1.04 | 1.36±0.66 | 0.168 | 2.06±1.18 | 1.19±0.54 | 0.098 | |
CEUS fusion | 2.9±0.93 | 2.23±0.92 | 0.012 | 3.38±0.89 | 2.19±0.98 | 0.012 |
The average lesion visibility score of nodular or infiltrative lesions under different imaging methods is presented as the mean ± standard deviation. BMUS, B-mode ultrasound; CEUS, contrast-enhanced ultrasound; PSM, propensity score matching.
Enhancement patterns
Among the lesions, 63 were identified by CEUS fusion, of which 43 (43/63, 68.3%) appeared with hyperenhancement in the artery phase (homogeneous: 38; inhomogeneous: 8), which included ring enhancement (n=1), nodular enhancement (n=1), and patch enhancement (n=1). Moreover, 22 (22/63, 34.9%) lesions displayed rapid wash-in and rapid wash-out, while 15 (21.4%) lesions showed rapid or peripheral nodular wash-in and no wash-out. Of the 10 (15 lesions) patients who received Sonazoid, washout was observed in 13 (13/15, 86.7%) lesions in the Kupffer phase (Table 5).
Table 5
Phase | Count (n=63) |
---|---|
Artery phase | |
Hyperenhancement | 43 |
Isoenhancement | 7 |
Hypoenhancement | 13 |
Portal phase | |
Isoenhancement | 29 |
Hypoenhancement | 34 |
Delay phase | |
Isoenhancement | 20 |
Hypoenhancement | 43 |
Kupffer phase | |
Isoenhancement | 2 |
Hypoenhancement | 13 |
CEUS, contrast-enhanced ultrasound.
Success rate and complications of biopsy
Among 60 patients, 72 PLB procedures under fusion guidance were completed, during which no severe complications were observe. One patient was excluded because the target lesion was located in the S7 segment and 1.2 cm from the dome of the diaphragm, which limited the percutaneous path. Three patients received the biopsy twice: (I) in one patient with suspected HCC, the first biopsy guided by CEUS (SonoVue) fusion was negative, which was considered a false negative. The result of the second biopsy guided by CEUS (Sonazoid) fusion 1 month later revealed malignancy. (II) Two biopsies were performed in one patient because the first biopsy was negative on hepatobiliary-phase MRI fusion, but the second biopsy guided by the arterial phase MRI image was positive. (III) In one patient with hyperechoic nodules, the first biopsy result indicated a cirrhosis nodule, and the second biopsy 1 month later was still negative. The lesion was considered a false-negative result based on its clinical characteristics.
Specimens were successfully obtained in 60 patients (72 cases), representing a technical success rate of 98.4% (60/61). The pathology results from 50 patients (59 specimens) were consistent with the final diagnosis, representing a diagnostic success rate of 82.0% (50/63). No malignant cells were found in 12 specimens: (I) based on laboratory tests and imaging results, 9 specimens were identified as false negatives, including 2 lesions that proved positive on follow-up biopsies. (II) Two specimens obtained were negative because US showed fewer lesions than did MRI. (III) The diagnosis of 1 lesion was unclear because the biopsy result showed hepatic angiomatosis, while the MRI result indicated liver metastasis.
Final diagnoses and prognoses
The final diagnosis of 50 patients was based on the pathological results from CEUS fusion-guided PLB. The final diagnosis of 11 patients was determined through the consideration of both the pathological results and their clinical characteristics. The final diagnoses for 61 patients are listed in Table 1. Experienced sonographers preliminarily diagnosed 5 benign lesions and 54 malignant lesions based on the echo characteristics and enhancement patterns during CEUS fusion imaging. With final diagnosis as the gold standard, the use of CEUS fusion achieved a sensitivity of 96.3%, an accuracy of 93.1%, a specificity of 50.0%, a positive predictive value of 96.3%, and a negative predictive value of 50%. Table 6 shows the fusion-assisted treatment schedules for 61 patients.
Table 6
Prognosis | Number |
---|---|
Follow-up | 9 |
Minimally invasive therapy | 27 |
Ablation | 11 |
PTCD | 1 |
TACE | 12 |
TAI | 3 |
Comprehensive therapy | 15 |
Other treatments | 9 |
Hepatoprotective therapy | 1 |
Targeted therapy | 1 |
Chemotherapy | 3 |
Immunotherapy | 4 |
*, 1 patient lost to follow-up. PTCD, percutaneous transhepatic cholangial drainage; TACE, transcatheter arterial chemoembolization; TAI, transcatheter artery infusion.
Discussion
Conventional BMUS is the primary imaging method for the screening and diagnosis of FLLs. However, the single acoustic window has the potential to limit the resolution, particularly in the case of rough liver echo texture, which may result in the misdiagnosis of certain lesions (25). The advent of precision medicine has necessitated the exploration of novel imaging techniques that can overcome the limitations of traditional US. As a supplementary examination following BMUS, CEUS vastly improves the detection and qualitative diagnosis of FLLs, with a diagnostic accuracy for HCC inconspicuous on BMUS reaching 93.8% to 100%. This diagnostic accuracy is comparable to that of CECT or CEMRI (26-28). Furthermore, the development of fusion imaging technology enables the combination of CT/MRI images and real-time US images for the accurate localization lesions that may be missed by conventional US scanning (29). Consequently, the integration of CEUS and fusion imaging technology can concurrently address the localization and preliminary diagnosis of lesions that are undetectable by conventional BMUS.
Our study compared BMUS fusion and CEUS fusion in terms of their detection rate for BMUS-invisible lesions. The results demonstrated that the visibility score and detection rate of BMUS-invisible lesions of CEUS fusion were significantly superior to those of BMUS fusion (P<0.001). The combination of fusion imaging with CEUS significantly enhanced lesion localization and the surrounding tissue contrast, thereby improving the detection of lesions that were previously undetectable by BMUS due to echo or location. The value of CEUS fusion in the detection of lesions with poor conspicuity on BMUS has been corroborated by several previous studies (30-33).
For malignant nodules, such as small HCC, the early detection and biopsy with pathological confirmation are critical to the treatment and prognosis of patients. However, the limited spatial resolution of BMUS may result in the misdiagnosis of small HCC, thereby precluding the opportunity for PLB and US-guided interventional therapy for these lesions. Our study demonstrated the value of CEUS fusion in the detection and biopsy guidance of invisible lesions <2 cm in size on BMUS. Fusion imaging can facilitate the identification of small-sized lesions that BMUS may fail to detect (34). Numerous studies have demonstrated the advantages of fusion imaging in the detection of small lesions with a diameter of less than 10 mm (35). In a study by Lee et al., it was found that fusion imaging was significantly more effective than was BMUS in the detection of HCCs smaller than 2.0 cm (P<0.001) (25). Furthermore, Zhou et al. demonstrated that the detection rates of CEUS alone and CEUS fusion in 68 liver lesions with a diameter of ≤1 cm were 71.4% and 95.6%, respectively (P<0.001) (36), which also proved the superiority of CEUS fusion over CEUS alone in the detection of small lesions.
Infiltrative HCC typically presents as small neoplasms that disseminate throughout the liver or specific segment/lobe (37). The lack of clearly defined boundaries and the occurrence in the liver cirrhosis background present a challenge in the identification of infiltrative HCC. In our study, 18 patients with infiltrative HCC or intrahepatic cholangiocarcinoma (ICC) exhibited consistently low mean visibility scores on both BMUS and BMUS fusion, which were significantly improved after CEUS fusion, with a biopsy success rate of 100% (18/18) achieved under CEUS fusion guidance. The subgroup analysis of nodular lesions and infiltrative lesions also demonstrated the superiority of CEUS fusion in enhancing the visibility score of infiltrative lesions (P=0.012). Early detection is vital to the treatment and prognosis of patients with infiltrative HCC, given the advanced stage and the poor prognosis associated with vascular invasion in the first treatment (38-40). Our results support the clinically significant value of CEUS fusion in the early detection of infiltrative HCC.
Currently, the application of CEUS fusion primarily related RFA and includes preablation range assessment, intra-ablation guidance, and local progression and recurrence rate after ablation (41-44). Several studies have combined 3D imaging with CEUS fusion to evaluate the postablation edge, with the findings indicating that 3D-CEUS fusion has superior automaticity and advantages in the evaluation of postablation edges as compared two-dimensional imaging, while providing a shortened registration time (45-50). However, there has been a paucity of research on the value of CEUS fusion in PLB. Studies have demonstrated that BMUS fusion can achieve a higher rate of technical success and diagnostic success in PLB (51-53). With regard to the use of CEUS fusion in PLB, Kang et al. demonstrated that CEUS fusion can achieve a higher rate of technical success in PLB in comparison to BMUS fusion (26,54). Our findings indicate that CEUS fusion can not only improve the lesion detection and operator’s confidence so as to increase the technical success rate of PLB but can also assist sonographers in the preliminary diagnosis of benign and malignant lesions and obtain a high rate of diagnostic success in PLB.
Although the majority of BMUS-invisible lesions were detected after CEUS fusion, seven lesions remained undetected, including five cases of infiltrative HCC. Although the literature indicates that the use of fusion imaging can enhance the detection rate of lesions and improve patient satisfaction, its application may be constrained by a number of factors (55,56). First, unavoidable diaphragmatic breathing and respiratory movements can cause incorrect registration for lesions that are located under the diaphragm or in the peripheral liver remote to the great vessels. Second, Lim et al. (23) reported that even if the target hepatic lesion is clearly visualized on fusion imaging, there is still a chance of inaccurate localization of the target lesion during the biopsy procedure or RFA. For instance, an abnormal perfusion area can be mistaken for the target lesion during a biopsy procedure, resulting in a false-negative result. Third, landmark-based nonrigid registration was used in our study since the liver is a nonrigid organ. Although this method can restrict the partial influence of liver motion, its computation is complex and time-consuming, making the realization of real-time imaging challenging (57).
It is worth noting that devices equipped with US fusion imaging technology are generally more expensive than are conventional US diagnostic devices. They require the integration of more advanced hardware and software to achieve multimodal image fusion and real-time navigation and involve more complex technologies, including real-time 3D imaging and digital beamforming (58). However, numerous clinical studies have demonstrated that the novel approach of using preoperative MRI/CT images and intraoperative or postoperative US image fusion guidance during interventional procedures not only ensures the real-time guidance of US but also guarantees the accuracy of guidance due to the incorporation of preoperative MRI/CT images (6,31,44,59). Therefore, despite the challenges in expenses associated with US fusion imaging technology, it holds potential in improving therapeutic outcomes and reducing long-term healthcare costs. To broaden its application in regions with limited medical resources, it is necessary to reduce the cost of devices, enhance the intelligence and portability of the devices, and strengthen the professional training of sonologists.
Conclusions
In conclusion, our study demonstrated that the use of CEUS fusion for guiding the PLB of lesions invisible on BMUS can significantly enhance the visibility score and the detection, thereby improving the biopsy success rate, particularly in cases of infiltrative HCC and small HCC (<2 cm). However, certain limitations were associated with our study. First, we employed a single-center, retrospective design, and thus the findings may not be generalizable. Further studies with larger sample sizes are needed to confirm these results. Secondly, the study included only one group and lacked a comparison of biopsy success rates for CEUS, BMUS fusion, and CEUS fusion. Future studies could combine 3D imaging technology with CEUS fusion to provide the clearest image guidance for BMUS-invisible lesions during US-guided interventional therapies.
Acknowledgments
Funding: This study received funding from
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://qims.amegroups.com/article/view/10.21037/qims-24-1104/rc
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-24-1104/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and was approved by the Institutional Ethics Committee of the Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University (No. 2022-140-01). Informed consent were obtained from all the patients.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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