Literature DB >> 33586696

Optimal number of needle passes during EUS-guided fine-needle biopsy of solid pancreatic lesions with 22G ProCore needles and different suction techniques: A randomized controlled trial.

Wei Zhou1, Shi-Yu Li1, Hui Jiang2, Li Gao2, Jun Li1, Xiang-Yu Kong1, Li Yang3, Ai-Qiao Fang3, Zhen-Dong Jin1, Kai-Xuan Wang1.   

Abstract

BACKGROUND AND OBJECTIVES: The sensitivity of EUS-guided fine-needle biopsy (EUS-FNB) varies considerably. The optimal number of passes through a solid pancreatic lesion with a 22G FNB needle during EUS-FNB is controversial. This prospective randomized controlled study aimed to determine the optimal number of needle passes during EUS-FNB of solid pancreatic lesions, with 22G FNB needles and different sampling techniques.
METHODS: Pancreatic masses were sampled using 22G FNB needles with either the stylet slow-pull (SP) technique or the standard-suction (SS) technique. We determined the number of needle passes required to obtain a diagnostic accuracy of >90%. Differences between the two techniques in terms of technical success rate, cytological acquisition, core tissue acquisition, sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and complications were analyzed.
RESULTS: A total of 120 patients were randomly assigned to either SP or SS group. Three patients who were lost to follow-up and one who did not complete 5 passes due to bent needle head were excluded from the study. Fifty-six cases in the SP group and 60 cases in the SS group were included in the analysis. For SP technique, the cumulative accuracy of passes 1, 2, 3, 4, and 5 was 44.83%, 76.79%, 87.50%, 92.86%, and 94.64%, respectively. For SS technique, the cumulative accuracy of passes 1, 2, 3, 4, and 5 was 71.67%, 85.0%, 90.0%, 93.33%, and 95.0%, respectively. For each group, there was no statistically significant difference in accuracy after 3 and 4 passes. After 4 passes, the pooled sensitivity (92.59% vs. 93.10%), accuracy (92.86% vs. 93.10%), and specificity (100% vs. 100%) were similar (P > 0.05) in the SP and SS groups, respectively. In addition, positive cytological diagnoses (83.9% vs. 85.0%) and positive histological diagnoses (71.4% vs. 78.3%) were comparable (P > 0.05) in the SP and SS groups, respectively. No statistically significant factor was found associated with diagnostic sensitivity for each group.
CONCLUSION: When on-site cytological evaluation is unavailable, we recommend that at least 3 passes with 22G ProCore needles be performed during EUS-FNB using the SS technique, at least 4 passes when using SP technique. The SS technique showed potential advantages over SP technique in tissue acquisition and diagnostic capabilities.

Entities:  

Keywords:  EUS; fine-needle biopsy; solid pancreatic lesion

Year:  2021        PMID: 33586696      PMCID: PMC7980685          DOI: 10.4103/EUS-D-20-00147

Source DB:  PubMed          Journal:  Endosc Ultrasound        ISSN: 2226-7190            Impact factor:   5.628


INTRODUCTION

Pancreatic ductal adenocarcinoma is a highly lethal disease, for which mortality rates closely parallel incidence rates.[12] In 2018, there were an estimated 458,918 new cases of pancreatic ductal adenocarcinoma all over the world, along with an estimated 432,242 deaths.[3] EUS-guided fine-needle biopsy (EUS-FNB) is a widely used, reliable, and safe method for the diagnosis of pancreatic diseases, especially malignant diseases. The clinical practice guidelines proposed by the French Society of Gastroenterology[4] recommend EUS-FNB for differentiating pancreatic ductal adenocarcinoma from a benign lesion or another neoplasm, to ascertain malignancy before the initiation of chemotherapy for unresectable tumors, and before the commencement of neoadjuvant treatment for potentially resectable tumors. EUS-FNB for the detection of pancreatic ductal adenocarcinoma is reported to have widely varying sensitivity rates ranging from 70% to 100%[567] and specificity rates ranging from 86% to 100%.[5678] The sampling guidelines published by the European Society of Gastrointestinal Endoscopy (ESGE) in 2012 recommended performing at least 5 needle passes for solid pancreatic masses.[9] The 2017 update of the ESGE guidelines recommended performing 2–3 passes with an FNB needle when on-site cytological evaluation was not available.[10] However, some randomized controlled trials (RCTs) have reported that the use of only 3 needle passes does not produce high accuracy rates (defined as 90% or higher). A prospective multicenter RCT[11] reported that the diagnostic yield of EUS-FNB with the 22G FNB needle was 89.43% even after 4 needle passes had been performed through the lesion. Another prospective study[12] showed that after 3 needle passes, the diagnostic yield was only 83.3% for both fine-needle aspiration (FNA) and FNB. Many RCTs and retrospective studies have analyzed the use of suction during EUS-FNA with different sizes of FNA needles.[13141516] However, as mentioned in the ESGE EUS-guided sampling guidelines,[9] no RCT has yet evaluated the impact of suction on the results of EUS-FNB, and it remains uncertain whether the results from studies using FNA needles can be extrapolated to sampling with FNB needles. We decided to conduct this study because of three reasons. First, due to the shortage of pathologists in most centers in China and even around the world, rapid on-site evaluation cannot always be performed. As a result, the adequacy of samples cannot be determined on-site during the procedure. If the number of needle passes is insufficient, the diagnosis rate and the subsequent treatment of patients will be affected. Second, the bending of the needle tip and the displacement of the target organ caused by repeated punctures may limit the increase in accuracy derived from increasing the number of needle passes. Third, as the number of needle passes increases, the risk of complications may also increase. Therefore, the aims of this prospective randomized study were as follows: (1) to determine the optimal number of needle passes that are required to produce high diagnostic accuracy rates of over 90% when performing EUS-FNB with a 22G FNB ProCore needle in patients with solid pancreatic lesions and (2) to compare the two most widely used sampling techniques, i.e., the SP technique and the standard suction (SS) technique, in terms of diagnostic accuracy, tissue acquisition, and cytological diagnoses.

MATERIALS AND METHODS

Ethics statement

The study protocol was approved by the Ethics Committee of Changhai Hospital, Shanghai, China (approval number: CHEC2018-032), and the study was registered at the Chinese Clinical Trial Registry (ID: ChiCTR1800015328). Written informed consent was obtained from all patients.

Patients

A total of 120 patients in Changhai Hospital were enrolled in this study. All enrolled patients met the following criteria: (1) age between 18 and 75 years, (2) diagnosis or suspicion of a solid pancreatic lesion based on previous imaging examination (ultrasonography, computed tomography [CT], or magnetic resonance imaging [MRI]), (3) lesion diameter ≥2 cm, and (4) provision of informed consent. The exclusion criteria were as follows: (1) pregnancy, (2) cystic pancreatic lesion, (3) anticoagulant/antiplatelet therapy that could not be suspended, (4) inability or refusal to provide informed consent, (5) coagulation disorder (platelets <50 × 103/μL and international normalized ratio >1.5), (6) cardiorespiratory dysfunction leading to an inability to tolerate intravenous anesthesia, (7) history of mental disease, and (8) other medical conditions that were contraindications for EUS-FNB.

Data collection

The following data were collected from each enrolled patient before the study: baseline characteristics (age, gender, height, and weight), symptoms (pain, jaundice, and weight loss), lesion location, laboratory data (complete blood count, international normalized ratio, bilirubin, and carbohydrate antigen 19-9), and available imaging studies before EUS-FNB. During the study, the following parameters were recorded: lesion location and size, number of needle passes, specimen adequacy for evaluation, cellularity, cytohistological analysis results, minimum number of needle passes for cytological or histological diagnosis, and procedure-related complications within 24 h after the intervention. Follow-up evaluation was performed via telephone interviews and hospital visits until the patient's death or the termination of the study (but for at least 12 months in all patients). Symptoms, imaging tests, subsequent treatment, and results of postoperative pathological examinations were included in the follow-up assessments.

EUS-FNB procedure

All procedures were performed by two experienced endoscopists using a linear-array echoendoscope (EG-580UT; Fujifilm, Tokyo, Japan) and a 22G ProCore needle (Cook Medical, National Technology Park, Limerick, Ireland). Immediately before the procedure, patients were placed in the left lateral decubitus position and administered anesthesia-assisted sedation with intravenous propofol (2.0–2.5 mg/kg for initialization and then 8–10 mg/kg/h for maintenance).[17] Vital signs were continuously monitored during the procedure. The EUS-FNB procedure was performed as follows. First, the lesion was localized, and the echoendoscope was positioned. After inserting the needle into the echoendoscope, the lesion was located in the needle path. Under real-time ultrasound guidance, suction was applied as the needle was moved forward and backward within the lesion 10 times, by using a 10-mL syringe attached to the end of the needle (SS technique), or by slowly pulling the stylet out (SP technique). After completing a pass, the needle was completely withdrawn into the sheath. The obtained specimen was prepared by an assistant. Subsequent passes were carried out and processed in the same way. Five passes were carried out for each lesion. No on-site cytologist was available for any of the procedures. The suction technique (SS or SP) was applied in a randomized order determined using random numbers generated by a computer prior to the procedure. Odd numbers were assigned to the SP group, while even numbers were assigned to the SS group.

Specimen preparation

After each pass, the stylet was removed first. The material was completely flushed out with a saline solution. The tissue samples were picked out from the liquid and fixed in a container with formalin solution. The rest of the liquid sample was fixed in a single vial containing BD CytoRich non-gyn fixative (BD SurePath™, Franklin Lakes, NJ, USA) for SurePath processing. Containers with specimens from different passes were numbered accordingly. The cytological and tissue samples were separately examined by two pathologists, who were blinded to the suction technique used. If the diagnoses were not consistent, the final diagnosis was decided by a pathological quality-control specialist.

Definitions

The cytological and histological findings were classified as positive if the result was “malignant” or “suspicious for malignancy.” Pancreatic neuroendocrine tumors (PanNETs) and intraductal papillary mucinous neoplasia were included in the malignant diagnoses for the purpose of analysis. The cellularity of the cytological specimens was graded into 3 levels[18] as follows [Figure 1]: Grade A, more than 4 clusters, with a minimum of 10 cells in each cluster; Grade B, approximately 2–4 clusters, with a minimum of 10 cells in each cluster; and Grade C, fewer than 2 clusters or no cellular smear.
Figure 1

Cellularity of cytological specimens. Grade A: (a) ×100, (d) ×200, more than 4 cell clusters, with a minimum of 10 cells in each cluster, are seen. Grade B: (b) ×100, (e) ×200, 2 cell clusters are seen on the smear. Grade C: (c) ×100, (f) ×200, only 1 cluster of cells is seen on the smear

Cellularity of cytological specimens. Grade A: (a) ×100, (d) ×200, more than 4 cell clusters, with a minimum of 10 cells in each cluster, are seen. Grade B: (b) ×100, (e) ×200, 2 cell clusters are seen on the smear. Grade C: (c) ×100, (f) ×200, only 1 cluster of cells is seen on the smear The tissue integrity on histological analysis was also graded into 3 levels[719] [Figure 2]: Grade A, existing core tissue (defined as an architecturally intact piece of tissue with a long axis measuring at least 550 μm), which can clearly characterize the lesion, and is sufficient for diagnosis; Grade B, existing core fragments, which does not meet the criteria for architecturally intact histology, but can still yield a diagnosis based on cell morphology; and Grade C, no lesion tissue found, and a diagnosis cannot be made based on the sample.
Figure 2

Integrity of tissue specimens. Grade A: (a) ×40, (d) ×100, the neoplastic glands are tubular or cribriform, with interstitial reactions; the diagnosis is pancreatic ductal adenocarcinoma. Grade B: (b) ×40, (e) ×100, scattered and broken heteromorphic glands are seen, with no mesenchymal fibers; the diagnosis is suspected pancreatic ductal adenocarcinoma. Grade C: (c) ×40, (f) ×100, a few heterotypic glands and a small amount of mucus are found in a blood clot; a definite diagnosis cannot be made

Integrity of tissue specimens. Grade A: (a) ×40, (d) ×100, the neoplastic glands are tubular or cribriform, with interstitial reactions; the diagnosis is pancreatic ductal adenocarcinoma. Grade B: (b) ×40, (e) ×100, scattered and broken heteromorphic glands are seen, with no mesenchymal fibers; the diagnosis is suspected pancreatic ductal adenocarcinoma. Grade C: (c) ×40, (f) ×100, a few heterotypic glands and a small amount of mucus are found in a blood clot; a definite diagnosis cannot be made Complications were defined as unexpected events occurring during or after the procedure and causing morbidity or mortality. Complications included but were not limited to pancreatitis, abdominal pain, fever, gastrointestinal bleeding, and pancreatic leakage. For patients who underwent surgery, the final diagnosis was based on the definite histological diagnoses obtained from the surgically resected specimens. For patients who did not undergo surgery, the final diagnosis was based on the biopsy findings, postoperative pathological examination, and follow-up clinical observations. A final diagnosis of a benign lesion was based on the progression of the lesion on radiological studies performed over at least 12 months.[20]

Statistical analysis

Descriptive statistics for continuous variables are presented as means and standard deviations (SDs) or medians and ranges. Continuous variables are expressed as mean (range) and SD and were analyzed using the t-tests or Wilcoxon rank-sum test. Categorical variables are expressed as counts and percentages and were analyzed using the Chi-square test. The diagnostic yield is presented as a proportion and was evaluated using the Chi-square test. The tissue integrity and cellularity of specimens in the SP and SS groups were divided into three levels (Grades A, B, and C), and the McNamara test for correlated proportions was used to evaluate these two parameters. The level of statistical significance for all the above tests was defined at a probability value of less than 0.05 (P < 0.05). All statistical analyses were performed using IBM SPSS Statistics v22.0 software (SPSS Inc., Chicago, IL, USA).

RESULTS

Patient characteristics

Between April 2018 and May 2019, 120 consecutive patients from Changhai Hospital who met the inclusion criteria were enrolled into the study. Of these, 59 patients were randomly allocated to the SP group, while 61 patients were randomly assigned to the SS group. Four cases were excluded during the study, 3 of whom were lost to follow-up, and 1 case did not complete 5 needle passes due to the needle tip bending. Fifty-six cases in Group A and 60 cases in Group B were included in the analysis. A flowchart of the study is shown in Figure 3. Among the enrolled patients, 67.2% were male, and the mean age of the patients was 60 years. The baseline characteristics of the patients as well as the lesion characteristics are summarized in Table 1. No statistically significant differences were found between the two study groups in terms of age, gender ratio, height, weight, and lesion location and size.
Figure 3

Flowchart of the study

Table 1

Baseline characteristics

SPSSAll participantsP
Patients, n5660116
Age (years), median (quartile)61.5 (52-66)58 (51-64)60 (52-65)0.462
Gender (male/female)35/2143/1778/380.293
Height (cm), median (quartile)168 (160-172)169 (160-172)168 (160-172)0.934
Weight (kg), mean±SD60.1±11.5163.3±11.0461.9±11.310.617
Lesion location
 Head/uncinate1323360.079
 Neck/body/tail433780
Lesion size (cm), n
 2-44243850.685
 >4141731

SP: Slow pull; SS: Standard suction; SD: Standard deviation

Flowchart of the study Baseline characteristics SP: Slow pull; SS: Standard suction; SD: Standard deviation

Sample adequacy and complications

Technical success was achieved in all cases. Samples (cytological or histological) of Grades A or B were considered satisfactory. In every patient, at least 1 of the 5 passes yielded a sufficient cytological specimen. After the first pass, the sample adequacy rates were lower in the SP group than in the SS group for both histological testing (30.4% vs. 50.0%, P = 0.029) and cytological testing (67.9% vs. 85.0%, P = 0.031). After the second to fifth passes, the cumulative sample adequacy rates for both histological testing and cytological testing were similar in the two groups. The sample adequacy rates for both the groups are shown in Table 2.
Table 2

Pooled diagnostic parameters after each pass

Number of passesSPSS


1234512345
Positive diagnoses (n)24414750514149525455
Adequate cytological sample, n (%)38 (67.9)50 (89.3)54 (96.4)55 (98.2)56 (100)51 (85.0)57 (95.0)59 (98.3)60 (100)60 (100)
Adequate histological sample, n (%)17 (30.4)29 (51.8)37 (66.1)43 (76.8)44 (78.6)30 (50.0)38 (63.3)46 (76.7)49 (81.7)52 (86.7)
Positive cytological diagnoses, n (%)21 (37.5)35 (62.5)43 (76.8)47 (83.9)48 (85.7)34 (56.7)44 (73.3)49 (81.7)51 (85.0)52 (86.7)
Positive histological diagnoses, n (%)13 (23.2)24 (42.9)33 (58.9)40 (71.4)43 (76.8)26 (43.3)35 (58.3)43 (71.7)47 (78.3)48 (80.0)
Sensitivity (%)44.475.987.092.694.470.784.589.793.194.8
Specificity (%)100100100100100100100100100100
Accuracy (%)46.476.887.592.994.671.785.090.093.395.0
PPV (%)100100100100100100100100100100
NPV (%)6.713.322.233.34010.518.22533.340

PPV: Positive predictive value; NPV: Negative predictive value; SP: Slow pull; SS: Standard suction

Pooled diagnostic parameters after each pass PPV: Positive predictive value; NPV: Negative predictive value; SP: Slow pull; SS: Standard suction The rates of macroscopic tissue acquisition, histological sample adequacy, and positive diagnoses obtained from each single pass in both the groups are shown in Table 3. For the first needle pass, the SS technique acquired more macroscopic tissue material than the SP technique (P = 0.017). Similar results were found for the macroscopic tissue acquisition rate. For the other needle passes also, the SS technique showed a potential advantage over the SP technique in terms of tissue sample acquisition.
Table 3

Comparison of tissue materials obtained from each needle pass

Macroscopic tissue acquisitionHistological sample adequacyPositive diagnoses



SPSSPSPSSPSPSSP
1st17330.00715300.01011210.064
2nd23320.18620270.30916230.266
3rd29380.20824360.06522310.181
4th28320.7225300.56423270.669
5th30380.28627320.58223280.544

SP: Slow pull; SS: Standard suction

Comparison of tissue materials obtained from each needle pass SP: Slow pull; SS: Standard suction No complications occurred in any patient after the procedure.

Final diagnoses

Final diagnoses were confirmed using definitive EUS-FNB results (n = 106), postoperative pathological results (n = 1), and clinical follow-up for more than 12 months (n = 9). On May 1, 2020, the follow-up duration for the last enrolled patient was more than 11 months. Patients (n = 10) who failed to receive a positive diagnosis after EUS-FNB were followed up for 8–25 months (the follow-up period was calculated until the day of the patient's death or until May 1, 2020). In 4 of the 10 patients who did not receive any treatment, CT or MRI showed no significant change or reduction in lesion size and no distant metastatic lesions after over 17 months of follow-up (17–25 months). We characterized these lesions as benign. Another 5 patients died of pancreatic cancer during the follow-up period. One patient underwent pancreaticoduodenectomy, and the postoperative pathological examination confirmed the diagnosis of pancreatic ductal adenocarcinoma. The follow-up data of these 10 patients are shown in Table 4.
Table 4

Follow-up data of patients without a definitive diagnosis after EUS-FNB

SexAge (year)Follow-up period (months)TherapyImagingOutcomesBenign or malignant
Female6425NoneNo significant changeSurvivalBenign
Male6612ChemotherapyUnknownDeathMalignant
Female6210ChemotherapyProgressionDeathMalignant
Male5020NoneNo significant changeSurvivalBenign
Male708ChemotherapyProgressionDeathMalignant
Male7519NoneLesion shrinkageSurvivalBenign
Male5118Surgery+chemotherapyShrinkage of liver lesionSurvivalMalignant
Female4710ChemotherapyProgressionDeathMalignant
Male2917NoneNo significant changeSurvivalBenign
Male588ChemotherapyProgressionDeathMalignant
Follow-up data of patients without a definitive diagnosis after EUS-FNB Pancreatic ductal adenocarcinoma was diagnosed in 88 (75.86%) of the study patients: 44 (78.57%) patients in the SP group and 44 (73.33%) patients in the SS group. PanNET was the second most common diagnosis, with 3 (5.36%) patients in the SP group and 6 (10.0%) patients in the SS group. The other diagnoses were adenosquamous carcinoma, lymphoma, acinar cell carcinoma, and undifferentiated carcinoma. There were also 2 cases of benign lesions in each group. The number of cases of each diagnosis is shown in Table 5.
Table 5

Number of diagnoses (n, %)

DiagnosisSPSSAll participants
PDAC44 (78.57)44 (73.33)88 (75.86)
PanNET3 (5.36)6 (10.0)9 (7.76)
IPMN1 (1.79)0 (0)1 (0.86)
Adenosquamous carcinoma2 (3.57)3 (5.0)5 (4.31)
Lymphoma0 (0)1 (1.67)1 (0. 86)
Acinar cell carcinoma1 (1.79)0 (0)1 (0. 86)
Undifferentiated carcinoma0 (0)1 (1.67)1 (0. 86)
Benign2 (3.57)2 (3.33)4 (3.45)
False negative3 (5.36)3 (5.0)6 (5.17)
Total5660116

PDAC: Pancreatic ductal adenocarcinoma; PanNET: Pancreatic neuroendocrine tumor; IPMN: Intraductal papillary mucinous neoplasia; SP: Slow pull; SS: Standard suction

Number of diagnoses (n, %) PDAC: Pancreatic ductal adenocarcinoma; PanNET: Pancreatic neuroendocrine tumor; IPMN: Intraductal papillary mucinous neoplasia; SP: Slow pull; SS: Standard suction

Diagnostic parameters

After each pass, the cumulative sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were calculated [Table 6]. After the first pass, the diagnostic sensitivity and accuracy were significantly lower in the SP group than in the SS group (P = 0.005 and 0.006, respectively). The difference in NPV between the two groups was not statistically significant (P = 0.636). From the second to the fifth passes, there was no statistically significant difference in the cumulative sensitivity, specificity, accuracy, NPV, and PPV between the two groups.
Table 6

Comparison of cumulative diagnostic parameters between the two groups (%, 95% confidence interval)

Pass 1Pass 2Pass 3



SPSSPSPSSPSPSSP
Sensitivity44.44 (31.16-58.51)70.69 (57.09-81.54)0.00575.93 (62.06-86.08)84.48 (72.07-92.23)0.25587.04 (74.48-94.2)89.65 (78.16-95.72)0.666
Specificity100 (19.79-100)100 (19.79-100)-100 (19.79-100)100 (19.79-100)-100 (19.79-100)100 (19.79-100)-
Accuracy44.83 (31.96-58.38)71.67 (58.36-82.18)0.00676.79 (63.27-86.60)85.00 (72.92-92.5)0.25987.50 (75.31-94.41)90.0 (78.83-95.87)0.670
PPV100 (82.83-100)100 (89.33-100)-100 (89.33-100)100 (90.94-100)-100 (90.59-100)100 (91.43-100)-
NPV6.25 (1.09-22.22)10.53 (1.84-34.54)0.623*13.33 (2.34-41.61)18.18 (3.21-52.25)1.000*22.22 (3.95-59.81)25 (4.45-64.42)1.000*

Pass 4Pass 5


SPSSPSPSSP

Sensitivity92.59 (81.26-97.60)93.10 (82.45-97.77)1.000*94.44 (83.66-98.55)94.83 (84.70-98.65)1.000*
Specificity100 (19.79-100)100 (19.79-100)-100 (19.79-100)100 (19.79-100)-
Accuracy92.86 (81.87-97.69)93.33 (82.99-97.84)1.000*94.64 (84.20-98.61)95.00 (85.18-98.70)1.000*
PPV100 (91.11-100)100 (91.73-100)-100 (91.27-100)100 (91.88-100)-
NPV33.33 (6.00-75.89)33.33 (6.00-75.89)1.000*40 (7.26-82.96)40 (7.26-82.96)1.000*

SP: Slow pull; SS: Standard suction; PPV: Positive predictive value; NPV: Negative predictive value

Comparison of cumulative diagnostic parameters between the two groups (%, 95% confidence interval) SP: Slow pull; SS: Standard suction; PPV: Positive predictive value; NPV: Negative predictive value For the SS group, 3 passes could yield 90% diagnostic accuracy, while for the SP group, at least 4 needle passes were required to yield an accuracy rate of over 90%. In the SP group, the accuracy after 3 and 4 passes was 87.50% and 92.86%, respectively (P = 0.341). In the SS group, the accuracy after 3 and 4 passes was 90.0% and 93.33%, respectively (P = 0.509). The specificity for both the groups was 100%. Univariate and multivariate analyses to identify factors associated with the diagnostic sensitivity of the SP and SS techniques are shown in Tables 7 and 8. No factor was found to be significantly associated with diagnostic sensitivity in either group.
Table 7

Diagnostic sensitivity-related factors using the standard suction technique

ORP
Male gender0.0520.819
Lesion size (≤4 cm)0.0250.875
Pancreatic head/uncinate1.9330.164
Age (≤60 years)0.2220.637
BMI (<24)1.6650.197

BMI: Body mass index; OR: Odds ratio

Table 8

Diagnostic sensitivity-related factors using the slow-pull technique

ORP
Male gender0.0410.839
Lesion size (≤4 cm)0.0910.763
Pancreatic head/uncinate0.2270.634
Age (≤60 years)0.0720.788
BMI (<24)0.2270.634

BMI: Body mass index; OR: Odds ratio

Diagnostic sensitivity-related factors using the standard suction technique BMI: Body mass index; OR: Odds ratio Diagnostic sensitivity-related factors using the slow-pull technique BMI: Body mass index; OR: Odds ratio

DISCUSSION

We found that after 3 passes, the diagnostic accuracy rates in the SP and SS groups were 87.50% and 90.0%, respectively; after 4 passes, the diagnostic accuracy rates were 92.86% and 93.33%, respectively. In the SS group, there was no significant difference between the cumulative diagnostic accuracy rates after 3 and 4 passes, and a diagnostic accuracy of 90% was obtained after 3 passes. The present prospective study demonstrated that to obtain a diagnostic accuracy of 90% when performing EUS-FNB with the 22G ProCore needle, a minimum of 4 needle passes were required for the SP technique and at least 3 needle passes were required for the SS technique. This finding contradicts part of the ESGE sampling guidelines,[10] which recommend 2–3 needle passes with an FNB needle in the absence of on-site cytological evaluation. However, this recommendation was based on low-quality evidence. Two previous prospective studies have claimed that 1 or 2 needle passes are sufficient to establish a diagnosis;[1921] however, the number of patients participating in these studies was small. One multicenter RCT has indicated that 3 passes were required to generate a diagnostic rate of nearly 90%,[22] and two other prospective studies from Chinese medical centers[1112] have reported that 3 needle passes are insufficient to obtain a diagnostic yield of over 90%. These findings are consistent with our results. Few of the prospective studies on the diagnostic efficacy of EUS-FNB for solid pancreatic lesions conducted in China have had large sample sizes, in spite of the immense popularity of this procedure. The present study reflects the current situation and experience in tertiary hospitals in China well. In a previous retrospective study in our center,[23] we found that liquid-based cytology (LBC) was superior to smear cytology (SC) in terms of sensitivity, accuracy, and PPV for pancreatic samples obtained by EUS-FNA/FNB. Furthermore, the combination of SC and LBC was superior to LBC alone in terms of sensitivity, accuracy, and PPV. Considering that EUS-FNB samples from each pass would be sent for testing separately, we tested the cytological samples using LBC only, rather than SC, to ensure that there were enough cytological samples and to improve the diagnostic yield. The SP technique is considered to perform better for SC, as it involves less blood contamination.[13] Some studies have shown a potentially higher diagnostic yield with the SP technique than with the SS technique for certain needles.[131424] However, two prospective studies[1525] and a multicenter randomized trial[26] have indicated that there are no significant differences between the SS and SP techniques in terms of diagnostic accuracy. It should be noted that two[2526] of the above four studies were recent studies involving FNB needles. In our study, the diagnostic yield was comparable between the two suction techniques, but there was a potential trend for the SP technique being inferior to the SS technique in terms of tissue sample acquisition and histological diagnoses, although no statistical significance was found for our current sample size. A possible reason for the above results maybe that the suction force generated by the SP technique was far less than that generated by the SS technique. Katanuma et al.[27] compared the suction forces generated by different needles and different sampling techniques. They found that the suction forces for different needles were similar at stylet-pulling speeds of 100 mm/s, 50 mm/s, and 25 mm/s. The suction force generated using the SP method was estimated to be only 3% of the force generated using the SS method for the 22G FNA and FNB needles. Low pressure may be the cause of the relatively poor tissue sample quality. No factor was found to be significantly associated with diagnostic sensitivity in either group. The main reason might be that after 5 passes, the pooled sensitivity of either group was over 94%, and the regression analysis was affected by the limit number of false-negative cases. Our study has certain limitations. First, it was a single-center study, and the results may not reflect the practices or techniques used at other institutions. Second, we applied 10 back-and-forth needle movements for each pass, which may reduce the quality of the tissue sample.

CONCLUSION

When on-site cytological evaluation is unavailable, we recommend that at least 3 passes with 22G ProCore needles be performed during EUS-FNB when using the SS technique and at least 4 passes be performed when using the SP technique. The SS technique showed potential advantages over the SP technique in terms of tissue acquisition and diagnostic capabilities.

Financial support and sponsorship

This study was funded by Construction of Shanghai Pancreatic Diseases Medical Center (Grant No. 2017ZZ01009).

Conflicts of interest

There are no conflicts of interest.
  26 in total

1.  Learning, techniques, and complications of endoscopic ultrasound (EUS)-guided sampling in gastroenterology: European Society of Gastrointestinal Endoscopy (ESGE) Technical Guideline.

Authors:  M Polkowski; A Larghi; B Weynand; C Boustière; M Giovannini; B Pujol; J-M Dumonceau
Journal:  Endoscopy       Date:  2011-12-16       Impact factor: 10.093

2.  Pancreatic Cancer Mortality in China: Characteristics and Prediction.

Authors:  Xiaoyue Jia; Peiling Du; Kusheng Wu; Zhenxi Xu; Jiaying Fang; Xiaoling Xu; Kun Lin
Journal:  Pancreas       Date:  2018-02       Impact factor: 3.327

3.  Analysis of Fine-Needle Biopsy vs Fine-Needle Aspiration in Diagnosis of Pancreatic and Abdominal Masses: A Prospective, Multicenter, Randomized Controlled Trial.

Authors:  Bin Cheng; Yueming Zhang; Qian Chen; Bo Sun; Zhuang Deng; Hongbo Shan; Lizhou Dou; Jinglin Wang; Yawen Li; Xiujiang Yang; Tianan Jiang; Guoliang Xu; Guiqi Wang
Journal:  Clin Gastroenterol Hepatol       Date:  2017-07-19       Impact factor: 11.382

4.  High single-pass diagnostic yield of a new 25-gauge core biopsy needle for EUS-guided FNA biopsy in solid pancreatic lesions.

Authors:  Takuji Iwashita; Yousuke Nakai; Jason B Samarasena; Do Hyun Park; Zesong Zhang; Mai Gu; John G Lee; Kenneth J Chang
Journal:  Gastrointest Endosc       Date:  2013-02-20       Impact factor: 9.427

5.  Stylet slow-pull versus standard suction for endoscopic ultrasound-guided fine-needle aspiration of solid pancreatic lesions: a multicenter randomized trial.

Authors:  Payal Saxena; Mohamad El Zein; Tyler Stevens; Ahmed Abdelgelil; Sepideh Besharati; Ahmed Messallam; Vivek Kumbhari; Alba Azola; Jennifer Brainard; Eun Ji Shin; Anne Marie Lennon; Marcia I Canto; Vikesh K Singh; Mouen A Khashab
Journal:  Endoscopy       Date:  2017-12-22       Impact factor: 10.093

6.  Diagnostic ability of EUS-FNA for pancreatic solid lesions with conventional 22-gauge needle using the slow pull technique: a prospective study.

Authors:  Toshifumi Kin; Akio Katanuma; Kei Yane; Kuniyuki Takahashi; Manabu Osanai; Ryo Takaki; Kazuyuki Matsumoto; Katsushige Gon; Tomoaki Matsumori; Akiko Tomonari; Hiroyuki Maguchi; Toshiya Shinohara; Masanori Nojima
Journal:  Scand J Gastroenterol       Date:  2015-03-02       Impact factor: 2.423

7.  Slow pull versus suction in endoscopic ultrasound-guided fine-needle aspiration of pancreatic solid masses.

Authors:  Yousuke Nakai; Hiroyuki Isayama; Kenneth J Chang; Natsuyo Yamamoto; Tsuyoshi Hamada; Rie Uchino; Suguru Mizuno; Koji Miyabayashi; Keisuke Yamamoto; Kazumichi Kawakubo; Hirofumi Kogure; Takashi Sasaki; Kenji Hirano; Mariko Tanaka; Minoru Tada; Masashi Fukayama; Kazuhiko Koike
Journal:  Dig Dis Sci       Date:  2014-01-16       Impact factor: 3.199

8.  The slow-pull capillary technique increases the quality of endoscopic ultrasound fine needle biopsy samples in solid pancreatic lesions.

Authors:  Rana El Haddad; Maximilien Barret; Frédéric Beuvon; Sophie Grabar; Sarah Leblanc; Benoit Terris; Romain Coriat; Stanislas Chaussade; Frédéric Prat
Journal:  Eur J Gastroenterol Hepatol       Date:  2016-08       Impact factor: 2.566

9.  Randomized Trial Comparing the Flexible 19G and 25G Needles for Endoscopic Ultrasound-Guided Fine Needle Aspiration of Solid Pancreatic Mass Lesions.

Authors:  Jayapal Ramesh; Ji Young Bang; Shantel Hebert-Magee; Jessica Trevino; Isam Eltoum; Andra Frost; Muhammad K Hasan; Amy Logue; Robert Hawes; Shyam Varadarajulu
Journal:  Pancreas       Date:  2015-01       Impact factor: 3.327

10.  Slow-pull and different conventional suction techniques in endoscopic ultrasound-guided fine-needle aspiration of pancreatic solid lesions using 22-gauge needles.

Authors:  Jia-Ying Chen; Qing-Yu Ding; Yang Lv; Wen Guo; Fa-Chao Zhi; Si-De Liu; Tian-Ming Cheng
Journal:  World J Gastroenterol       Date:  2016-10-21       Impact factor: 5.742

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  1 in total

1.  Is contrast-enhanced endoscopic ultrasound-guided fine needle biopsy better than conventional fine needle biopsy? A retrospective study in a medical center.

Authors:  Jian-Han Lai; Ching-Chung Lin; Hsiang-Hung Lin; Ming-Jen Chen
Journal:  Surg Endosc       Date:  2022-04-28       Impact factor: 3.453

  1 in total

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