Confirming Whether Fine Needle Biopsy Device Shortens the Learning Curve of Endoscopic Ultrasound-Guided Tissue Acquisition Without Rapid Onsite Evaluation

Article information

Clin Endosc. 2021;54(3):420-427
Publication date (electronic) : 2021 May 28
doi : https://doi.org/10.5946/ce.2020.184
1Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan
2Department of pathology, National Cheng Kung University Hospital, Tainan, Taiwan
3Department of Gastroenterology, Kitasato University School of Medicine, Kanagawa, Japan
4Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
Correspondence: Wei-Lun Chang Department of Internal Medicine, National Cheng Kung University Hospital, No.138, Sheng Li Road, Tainan 704, Taiwan Tel: +886-6-235-3535 ext. 5368, Fax: +886-6-2766175, E-mail: weilun1@mail.ncku.edu.tw
Received 2020 July 10; Revised 2020 December 1; Accepted 2020 December 1.

Abstract

Background/Aims

Endoscopic ultrasonography (EUS)-guided tissue acquisition requires a long learning curve. We aimed to compare the skill maturation curves between fine needle aspiration (FNA) and biopsy (FNB) for tissue acquisition.

Methods

The initial 60 procedures performed by the trainee endosonographer (30 FNA vs. 30 FNB) were consecutively enrolled. The difference in procedure performance was compared between the two groups. Learning curves were assessed. Twenty additional cases were subsequently enrolled to assess the consistency of performance in the FNB group.

Results

The FNB group acquired larger tissue samples (2.35 vs. 0.70 mm2; p<0.001) with lower blood content (p=0.001) and higher tissue quality (p=0.017) compared with the FNA group. In addition, the FNB group required less needle pass to establish a diagnosis (2.43 vs. 2.97; p=0.006). A threshold diagnostic sensitivity of ≥80% was achieved after performing 10 FNB procedures. The number of needle passes significantly decreased after conducting 20 FNB procedures (1.80 vs. 2.70; p=0.041). The diagnostic sensitivity and number of needle passes remained the same in the subsequent FNB procedures. By contrast, this skill maturation phenomenon was not observed after performing 30 FNA procedures.

Conclusions

In EUS-guided tissue acquisition, the FNB needle was more efficient and thus shortened the learning curve of EUS-guided tissue acquisition in trainee endosonographers.

INTRODUCTION

Endoscopic ultrasonography (EUS)-guided tissue acquisition (TA) has evolved as an important tool for diagnosing gastrointestinal tract subepithelial mass lesion and pancreatobiliary disease since the first report of EUS fine needle aspiration (FNA) by Vilmann et al. in 1992 [1]. Because of its high sensitivity, specificity, accuracy, and relatively lower complication rate, EUS TA had gradually replaced the percutaneous and surgical TA in this field, and has become the standard procedure in many medical centers [2-4].

According to the targeted lesion, 5–7 needle passes were recommended in order to obtain adequate tissue samples to achieve cytopathological diagnosis through EUS FNA [5]. After the introduction of rapid on-site evaluation (ROSE), the needle pass number had decreased to 3.4 ± 2.2 times [6]. However, only limited hospitals have on-site cytopathologists during EUS FNA, thus making it difficult to implement ROSE worldwide [7]. Additionally, EUS exam and EUS FNA are operator-dependent procedures, and their efficacy relied heavily on the operator’s experiences with a long learning curve [8,9]. Previous studies on EUS FNA learning curve showed that 20–30 cases were required to increase the diagnostic sensitivity to a globally acceptable threshold of 80%, and 150 cases were needed to decrease the needle pass number while maintaining tissue adequacy [10,11]. Recent advances in neoadjuvant chemotherapy for borderline operable pancreatic cancer further increased the demand for this procedure for histological confirmation [12,13]. Therefore, improving the effectiveness and efficiency of EUS TA has become an important issue recently.

To improve the quality of the obtained tissue sample, an EUS fine needle biopsy (FNB) needle was developed and marketed recently. Its special needle tip allows the operator to obtain a core tissue sample with preserved architecture, which can greatly improve the diagnosis ability. Several recent studies revealed that EUS TA with FNB needle had a diagnostic performance comparable to that of EUS TA with FNA needle while increasing the acquired tissue size and improving histological quality. In the hands of a proficient operator, the FNB needle more efficiently obtained core tissue samples and required fewer needle passes [14-16]. However, all current studies were carried out by expert endoscopists. Whether this novel needle device could shorten the learning curve in trainee endosonographers still needs to be invstigated further.

MATERIALS AND METHODS

Patients and study design

This retrospective study consecutively enrolled the first 60 patients who underwent EUS TA (30 FNA vs. 30 FNB) at a tertiary center in southern Taiwan between September 2016 and August 2019. Written informed consent was obtained from all patients. The study was approved by the National Cheng Kung University Hospital Institutional Review Board (B-BR-108-070). The EUS TA procedures were performed by two endosonographers who were experienced in conducting diagnostic EUS examinations (>150 cases, including >75 pancreatobiliary cases 2 years prior to this study), and at least 30 EUS TA procedures were performed by experts in a center that conducts a high volume of EUS procedures (Mitsuhiro Kida, MD, PhD and Hiroshi Imaizumi, MD, PhD, Kitasato University Hospital, Kanagawa, Japan). According to American Society for Gastrointestinal Endoscopy and the British Society of Gastroenterology, endosonographers need to perform 50 EUS TA procedures (25 pancreatic cases and 25 others) to achieve skill maturation. The two endoscopists who performed the EUS TA procedures in this study were trainee endosonographers [8,17]. The technical success and number of needle passes required to establish a diagnosis, tissue area and amount of blood during the histological assessment, adequacy of obtained tissue, and complications were recorded. In addition, the malignancy diagnostic sensitivity, specificity, and overall diagnostic accuracy were analyzed and compared between the two groups. The learning curves of EUS TA using different needle types were analyzed by chronologic subgroups, with each group comprising 10 procedures. Another 20 FNB procedures after initial enrollment were included to prove the stability of performance after skill maturation.

EUS tissue acquisition

The EUS TA procedure was performed under analgesia with or without conscious sedation. The needle size and suction method were determined according to the literature’s recommendation and endosonographers’ preference [18]. We used EZ shot 2 (19 G, 22 G, and 25 G; Olympus Medical Systems, Tokyo, Japan), EchoTip Ultra (22 G; Cook endoscopy Inc., Bloomington, IN, USA), and ExpectTM (22 G; Boston scientific Corp., Natick, MA, USA) in the FNA group. EchoTip Pro- Core (19 G and 20 G; Cook endoscopy Inc., Bloomington, IN, USA) and AcquireTM (22 G; Boston Scientific Corp., Natick, MA, USA) were applied in the FNB group. Details regarding the types of needles used and chronological order of the procedure are listed in Table 1. The EUS TA procedure was discontinued when more than 4-mm whitish core tissue was collected based on macroscopic on-site evaluation (MOSE) [19-22]. Recent studies on MOSE showed that a 4-mm whitish core tissue achieved a diagnostic sensitivity of 92.4%–94.3% using 19-G, 20-G, and 22-G FNA/FNB needles. All procedures were conducted under a linear scanning ultrasound scope (GF-UCT260; Olympus, Tokyo, Japan) using either the EU-ME1 or EU-ME2 system. After puncture, a stylet, a 10-ml syringe filled with saline, and a 10-ml syringe filled with air were sequentially used to push the tissue out of the biopsy needle onto a sterile plate, and the adequacy of core tissue was evaluated MOSE. After MOSE, the obtained tissues were fixed with formalin and sent to the pathology department for histological assessment.

Needle Selection in Both Groups

Tissue specimen handling and histological assessment

At our institution, the formalin-fixed tissue specimens were routinely processed and embedded in paraffin in a histological tissue specimen handling room. The paraffin-embedded tissues were cut into 3-μm slices. Only sections that mostly contained tissue specimens were processed into slides. The tissue sections were stained with hematoxylin and eosin for evaluation. Immunohistochemical procedures were performed when necessary. One gastrointestinal pathologist, who had no information regarding the patient’s clinical condition and procedure details, was assigned to perform the histological assessment. The tissue area, blood clot contamination, and tissue adequacy for diagnosis were reported by the pathologist. The tissue area was determined based on the surface area of the specimen in a 3×3 square area under a 400× microscopic field (with each square measuring 0.24 mm2). Blood contaminants were evaluated using a 4-scale scoring method (Fig. 1). Tissue adequacy was confirmed by another pathologist in our hospital.

Fig. 1.

Images of histological samples acquired using different types of needles (H&E stain, 100×). (A) Tissue samples acquired using an fine needle aspiration (FNA) needle contained large amounts of red blood cells with a small amount of tumor cells. (B) Tissue samples acquired using fine needle biopsy (FNB) needle contained tumor cells with a small amount of red blood cells.

Data recording

Patients’ baseline characteristics including age, sex, indication for EUS TA, lesion size, and location were obtained from the electronic medical records of the National Cheng Kung University Hospital. During EUS TA, the total number of needle passes and procedure complications were indicated in the endoscopic report and obtained from the reporting system. Procedure success was defined as obtaining a sufficient amount of tissue for histologic diagnosis during EUS TA. All patients were followed for at least 3 months after the initial EUS TA to confirm the final diagnosis.

Diagnostic interpretation

The specimen was considered adequate if its structure is consistent with that of the tissues from the target organ and if it can be used to make a definitive diagnosis. The final diagnosis was confirmed based on either the result of EUS TA, histologic diagnosis using computed tomography-guided biopsy or surgical specimen, or the results of follow-up radiologic examination. The EUS TA result that met the final diagnosis was considered accurate. Cases with a final diagnosis of malignant disease were included for evaluation of sensitivity and specificity.

Statistical analysis

All statistical analyses were performed using SPSS software (version 20.0; IBM Corporation, Armonk, NY, USA). The differences in baseline characteristics, indications, and tumor locations were analyzed using Student’s t-test or χ2 test, as appropriate. The sensitivity for malignant disease and accuracy of final diagnosis were calculated using a 2 × 2 table, and the performance between different needle devices was compared using the χ2 test. The histological adequacy was also compared using the χ2 test. The number of needle passes needed to establish a diagnosis and the average tissue area was assessed using the Student’s t-test. After comparing the two groups, the diagnostic sensitivity and needle pass number were compared between subgroups of 10 procedures in chronological order using the χ2 test, while those within the same group were compared using the Student’s t-test.

RESULTS

Baseline characteristics of patients and features of target masses

A total of 60 patients were included, including 30 patients who underwent EUS FNA and another 30 who underwent EUS FNB. The characteristics of the enrolled patients are listed in Table 2. No significant difference was observed in the baseline characteristics between the two groups, including patients’ age, sex, target mass location, and size. The final diagnosis of the target masses was also comparable between the groups.

Baseline Characteristics of Enrolled Patients

Difference of the diagnostic performance between FNB and FNA

Both groups achieved a 100% technical success rate. In Table 3, the number of needle passes needed to establish a diagnosis was significantly lower in the FNB group than in the FNA group (2.43 ± 0.90 vs. 2.97 ± 0.49; p=0.006). The FNB group obtained a significantly larger tissue sample (2.35 ± 1.75 mm2 vs. 0.70 ± 1.04 mm2; p<0.001), had less blood contamination (p=0.001), and had higher histology-adequacy ratio (76.7% vs. 46.7%; p=0.017) compared with the FNA group. The diagnostic sensitivity for malignant disease was higher in the FNB group, although the difference was not statistically significant (87.5% vs. 60%; p=0.078). The FNA results was not considered diagnostic due to the presence of atypical cells without stromal invasion, which occurred in 5 cases in the FNA group but none in the FNB group (Table 4). Only one complication (minor bleeding) was noted in the FNA group and resolved after appropriate medical treatment was provided.

Comparison of Diagnostic Performance Between the FNA Group and FNB Group

Reasons for Undiagnostic Procedure

Learning curve evaluation

In the FNB group, the diagnostic sensitivity for malignant disease increased gradually from the first to the third 10 cases (from 71.4% to 87.5% to 100%). After 10 cases, the diagnostic sensitivity reached a satisfactory threshold (>80%) and remained stable in the following cases even without an on-site cytopathologist to perform a ROSE. By contrast, the diagnostic sensitivity in the FNA group remained unsatisfactory within 30 procedures (Fig. 2). Moreover, the number of needle passes in 21–30 cases was significantly reduced compared with that in 1–10 cases in the FNB groups (2.10 ± 0.316 vs. 2.70 ± 0.675; p=0.020), and remained stable in 31–50 cases (p=0.643 compared with that in 21–30 cases). However, this trend was not observed in the FNA group (Fig. 3).

Fig. 2.

Evolutional change of the diagnostic sensitivity for malignant disease in chronological order with FNA and FNB needles. The dotted line represents the globally acceptable diagnostic sensitivity threshold of 80%. FNA, fine needle aspiration; FNB, fine needle biopsy.

Fig. 3.

Comparison of needle pass number in chronological order between endoscopic ultrasound (EUS) FNA and EUS FNB. FNA group did not show a significant reduction in needle pass number with the increasing number of procedures. In the FNB group, the number of needle passes required in 21–30 procedures was significantly lesser than that in 1–10 or 11–20 procedures (*). In the validation step, the number of needle passes in 31–50 procedures was comparable to that in 21–30 procedures in the FNB group (†). Data were presented as mean ± SE. EUS, endoscopic ultrasound; FNA, fine needle aspiration; FNB, fine needle biopsy; SE, Standard Error.

DISCUSSION

EUS TA has largely replaced percutaneous TA in recent years because of its comparable accuracy but lower complication and needle-tract seeding rates [3,4,23]. The changing trend in managing borderline resectable pancreatic cancer further increases the demand for this procedure [12,13]. Therefore, improving the efficacy and efficiency of EUS TA is an important issue. Endosonographers can improve their performance in EUS TA by undergoing intensive training, but taking an intensive training on needle aspiration is time consuming [24,25]. EUS biopsy needles have been developed recently, which can be used to acquire sufficient tissue samples with fewer needle passes if the operator is experienced [14,15,26]. However, whether trainee endosonographers could benefit from these new devices during the training process remains unknown.

We found that the learning curve of trainee endosonographers can be shortened when the FNB needle is used. To the best of our knowledge, we are the first to report this finding. In our study, a total of 10 procedures were required to achieve high diagnostic sensitivity for malignant disease (>80%) using FNB needle without performing ROSE, which was lower than the reported 20–30 cases when using FNA needles with ROSE [10,11]. Moreover, only 20 procedures were needed to decrease needle pass using FNB needles, which was far less than the 150 procedures performed in previous studies using FNA needles [10,11]. Based on our study, the skills of trainee endosonographers in performing EUS TA procedures can quickly improve using the new FNB needle even without ROSE.

The advantages of FNB needle may help improve the trainee endosonographers skills in performing EUS TA. First, the special needle tip design of FNB can acquire larger tissue samples at a single try [27-29]. Second, the FNB needle can obtain tissues with better preserved architecture or higher specimen adequacy [27,28,30]. Third, FNB requires fewer needle passes to obtain sufficient specimen for diagnosis [27,29-31]. Fourth, the specimens acquired by FNB contained less blood than that by FNA. Therefore, the better tissue acquisition ability and the acquired tissue quality of FNB devices may partially overcome the technical shortage of trainee endosonographers and allow them to achieve a globally acceptable diagnostic performance faster.

However, this study had some limitations. First, several needle sizes were used; nevertheless, previous studies had shown comparable diagnostic accuracy between 19-G, 22-G, and 25-G FNA needles [31-34], suggesting that needle size is not a major determinant of the diagnostic accuracy of FNA. The improved diagnostic performance of FNB observed in our study was mainly attributed to the needle design. We also performed a subgroup analysis comparing 19-G to 20-G needles used in the study; results showed that larger tissue samples were acquired using the 20-G FNB needle compared with the 19-G FNA needle (2.57 ± 1.85 vs. 1.36 ± 1.78; p=0.118). Therefore, the better tissue acquisition ability of the FNB needle was not related to the needle size. Second, FNA procedures were performed earlier in our cohort than the FNB procedures. However, even if we summed up the total number of procedures performed by each endoscopist (44 cases for Dr. Lin and 16 cases for Dr. Chang), they were still unable to achieve skill maturation (i.e., performed more than 50 cases) according to the current consensus. Third, the FNA group showed a decreasing malignant diagnostic sensitivity (from 71.4 % to 57.1% to 33.3%). To clarify this condition, we analyzed the reasons why the results of procedures performed in each group were considered undiagnostic (Table 4). Five cases in the FNA group had atypical cells or glands without evidence of stromal invasion. All of them appeared in cases 11 to 30 in the FNA group and contributed to the decreased diagnostic sensitivity. Therefore, due to the inferior tissue acquisition ability of FNA needles, more needle passes are required to obtain enough tissue samples in order to establish a diagnosis. The slightly decreased number of needle passes observed in the FNA group (Fig. 3) may also contribute to the decreasing diagnostic sensitivity. Thus, more needle passes may be required to achieve adequate diagnostic sensitivity with FNA needles in hospitals without ROSE, especially when the procedure is performed by an inexperienced operator. Fourth, our study included a relatively small number of patients with malignant diseases; if any lesions were missed during the EUS TA procedure, the diagnostic sensitivity will be greatly affected. Fifth, only two target lesions less than 1 cm in size were detected, and the learning time may be longer in EUS TA of small targets.

In conclusion, the FNB needle has superior tissue acquisition ability compared with FNA needles. It does not only improve the EUS TA efficiency of experienced endosonographers, but also accelerates the skill maturation of trainee endosonographers.

Notes

Conflicts of Interest: The authors have no potential conflicts of interest.

Funding

None.

Author Contributions

Conceptualization: Meng-Ying Lin

Data curation: MYL, Cheng-Lin Wu

Formal analysis: MYL

Investigation: MYL, Wei-Lun Chang

Methodology: WLC

Project administration: MYL, WLC

Resources: Bor-Shyang Sheu

Software: MYL

Supervision: BSS, WLC

Validation: Mitsuhiro Kida

Visualization: WLC

Writing-original draft: MYL, CLW

Writing-review&editing: WLC

Acknowledgements

We would like to thank Dr. Michelle Lee, from the Department of Emergency of National Cheng Kung University Hospital, for providing English editing assistance.

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Article information Continued

Fig. 1.

Images of histological samples acquired using different types of needles (H&E stain, 100×). (A) Tissue samples acquired using an fine needle aspiration (FNA) needle contained large amounts of red blood cells with a small amount of tumor cells. (B) Tissue samples acquired using fine needle biopsy (FNB) needle contained tumor cells with a small amount of red blood cells.

Fig. 2.

Evolutional change of the diagnostic sensitivity for malignant disease in chronological order with FNA and FNB needles. The dotted line represents the globally acceptable diagnostic sensitivity threshold of 80%. FNA, fine needle aspiration; FNB, fine needle biopsy.

Fig. 3.

Comparison of needle pass number in chronological order between endoscopic ultrasound (EUS) FNA and EUS FNB. FNA group did not show a significant reduction in needle pass number with the increasing number of procedures. In the FNB group, the number of needle passes required in 21–30 procedures was significantly lesser than that in 1–10 or 11–20 procedures (*). In the validation step, the number of needle passes in 31–50 procedures was comparable to that in 21–30 procedures in the FNB group (†). Data were presented as mean ± SE. EUS, endoscopic ultrasound; FNA, fine needle aspiration; FNB, fine needle biopsy; SE, Standard Error.

Table 1.

Needle Selection in Both Groups

FNA group (n=30) FNB group (n=30) p value
Needle size (Oa)/Cb)/Bc)) <0.001d)
 19 G 7 (1/0/0) 1 (0/1/0)
 20 G 0 23 (0/23/0)
 22 G 21 (11/7/3) 6 (0/0/6)
 25 G 2 (2/0/0) 0
The time order of procedure <0.001
 1–10 8 2
 11–20 10 0
 21–30 7 3
 31–40 3 7
 41–50 0 10
 51–60 2 8
a)

O: Olympus Medical System, Tokyo;

b)

C: Cook endoscopy Inc., Bloomington, IN, USA;

c)

B: Boston scientific, Corp., Natick, MA, USA;

d)

Comparing the difference in needle size, not company.

Table 2.

Baseline Characteristics of Enrolled Patients

FNA group (n=30) FNB group (n=30) p value
Age (mean ± SD) 60.2 ± 11.6 62.5 ± 13.8 0.427
Gender (female: male) 8: 22 12: 18 0.273
Mass location 0.231
 Pancreatic UP and head 11 14
 Pancreatic body and tail 13 12
 Gastric SEML 3 0
 Esophagus SEML 0 2
 Othersa) 3 2
Mass size 0.640
 <1 cm 1 1
 1–2 cm 8 5
 >2 cm 21 24
Final diagnosis 0.590
 Pancreatic adenocarcinoma 11 13
 Pancreatic NET 4 5
 Pancreatic benign lesion 9 4
 GIST 1 0
 Leiomyoma 1 2
 Other malignancy 4 5
 Other benign 0 1
a)

Others: mediastinum mass and lymph node

FNA, fine needle aspiration; FNB, fine needle biopsy; GIST, Gastrointestinal stromal tumor; NET, Neuroendocrine tumor; SD, standard deviation; SEML, Subepithelial mass lesion; UP, Uncinate process.

Table 3.

Comparison of Diagnostic Performance Between the FNA Group and FNB Group

FNA group (n=30) FNB group (n=30) p value
Number of needle passes
 Mean ± SD 1 pass 2.97 ± 0.49 2.43 ± 0.90 0.006
 2 passes 0 5 0.013
 3 passes 4 9
 4 passes 23 15
 5 passes 3 0
Tissue area (mean ± SD, mm2) 0.70 ± 1.04 2.35 ± 1.75 <0.001
Blood contains 0.001
 <25% 1 6
 25%–50% 2 9
 50%–75% 7 9
 >75% 20 6
Histology quality
 Acceptable 14/30 (46.7%) 23/30 (76.7%) 0.017
 Inacceptable 16/30 (53.3%) 7/30 (23.3%)
Histology
 Sensitivity (malignancy) 12/20 (60%) 21/24 (87.5%) 0.078
 Specificity (malignancy) 10/10 (100%) 6/6 (100%) 0.382
 Accuracy (overall) 20/30 (66.7%) 26/30 (86.7%) 0.125
Adverse effect 1 0 0.491

FNA, fine needle aspiration; FNB, fine needle biopsy; SD, standard deviation.

Table 4.

Reasons for Undiagnostic Procedure

FNA group FNB group
Total undiagnostic procedure 10 4
Atypical cell without stromal invasion 5 0
Scant of cell 2 1
IHC stain negative 1 1
Blood clot 1 1
Sampling error 1 1

FNA, fine needle aspiration; FNB, fine needle biopsy.