Diagnostic yield and agreement on fine-needle specimens from solid pancreatic lesions: comparing the smear technique to liquid-based cytology

Abstract

Background and study aims The traditional “smear technique” for processing and assessing endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is sensitive to artifacts. Processing and evaluation of specimens collected in a liquid medium, liquid-based cytology (LBC) may be a solution. We compared the diagnostic value of EUS-FNA smears to LBC in pancreatic solid lesions in the absence of rapid on-site evaluation (ROSE).

Patients and methods Consecutive patients who required EUS-FNA of a solid pancreatic lesion were included in seven hospitals in the Netherlands and followed for at least 12 months. Specimens from the first pass were split into two smears and a vial for LBC (using ThinPrep and/or Cell block). Smear and LBC were compared in terms of diagnostic accuracy for malignancy, sample quality, and diagnostic agreement between three cytopathologists.

Results Diagnostic accuracy for malignancy was higher for LBC (82 % (58/71)) than for smear (66 % (47/71), P = 0.04), but did not differ when smears were compared to ThinPrep (71 % (30/42), P = 0.56) or Cell block (62 % (39/63), P = 0.61) individually. Artifacts were less often present in ThinPrep (57 % (24/42), P = 0.02) or Cell block samples (40 % (25/63), P < 0.001) than smears (76 % (54/71)). Agreement on malignancy was equally good for smears and LBC (ĸ = 0.71 versus ĸ = 0.70, P = 0.98), but lower for ThinPrep (ĸ = 0.26, P = 0.01) than smears.

Conclusion After a single pass, LBC provides higher diagnostic accuracy than the conventional smear technique for EUS-FNA of solid pancreatic lesions in the absence of ROSE. Therefore, LBC, may be an alternative to the conventional smear technique, especially in centers lacking ROSE.

Introduction

Pancreatic cancer is one of the most lethal solid tumors [1] [2], but individualized therapies have improved progression-free survival [3] [4]. Because these therapies depend on pre-therapeutic tissue analysis [5], endoscopic ultrasound (EUS)-guided tissue collection is increasingly being used for this purpose.

Although EUS-guided tissue sampling can reach diagnostic accuracy rates over 90 %, its outcome strongly depends on performer skills, sampling tools and techniques, and tissue processing [6]. Traditionally, fine-needle aspiration (FNA) needles have been used to collect cytological samples, which were smeared onto glass slides, the so-called smear technique. This technique is cheap, easy to use and available to the majority of EUS centers [7]. The downside of smears is that they are very sensitive to preparation artifacts [8] [9]. A dedicated on-site pathologist (ROSE) can improve smear quality and hence diagnostic accuracy. However, in many EUS centers ROSE is not readily available due to costs and logistic issues [7]. As a result, FNA samples are often handled by the endoscopy staff, with varying diagnostic outcomes [10] [11] [12] [13].

An alternative for ROSE is to collect FNA samples in a liquid-based medium, the so-called liquid-based cytology (LBC) technique. This technique makes samples less vulnerable to contamination or artifacts, as debris, blood, and exudates can easily be removed [14]. There are different LBC techniques, i. e. ThinPrep, Surepath, Cellprep plus, and Cell block. LBC slides mimic the in situ 3-dimensional tissue architecture and provide a homogeneous cell dispersion. They also allow pathologists to perform ancillary tissue tests that could previously only be performed on histological samples.

Although, LBC is more accurate than the conventional smears for the cytological diagnosis of cervical bile duct and gall bladder cancers [15] [16], its superiority for pancreatic cancer has not been proven. The outcome of studies that compared smear to LBC for pancreatic lesions vary greatly, and are difficult to compare due to heterogeneity in the used LBC techniques (i. e. ThinPrep, Surepath, Cellprep plus, and Cell block) [9] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26]. As the ThinPrep and Cell block technique are two commonly used LBC techniques, we compared their diagnostic performance to the conventional smear technique for processing of FNA specimens from solid pancreatic lesions in the absence of an on-site pathologist.

Patients and methods

Study design and patient selection

This prospective multicenter study assessed whether LBC could replace smears for processing of pancreatic FNA specimens in centers lacking ROSE. For this, we compared EUS sample processing using the smear and LBC technique in terms of diagnostic accuracy, sample quality, and agreement on these parameters. Consecutive patients scheduled for EUS-FNA of a suspected solid pancreatic malignancy were included in a tertiary referral center and six regional community hospitals in the Netherlands between April 2016 and September 2017. Patients were followed for at least 12 months, until September 2018. Prior to the study, the endoscopy personnel underwent 1-day FNA tissue preparation training to optimize their knowledge and skills. All harvested and prepared FNA samples were collected and reviewed by an expert cytopathologist and two experienced cytotechnicians from the pathology department at the Erasmus MC University Medical Center in Rotterdam, the Netherlands. The Medical Ethics Committee reviewed the study and granted a waiver of consent as the protocol did not interfere with local EUS-FNA sampling protocols (MEC-2016-022).

EUS-guided tissue sampling

All EUS-FNA procedures were performed according to a standard protocol, using a convex array echoendoscope (Pentax EG-3870 UTK, Pentax EG-3270 UK, Olympus UTC 140/180, Olympus linear GF-UCT180, [Table 1]). Tissue sampling was performed by endosonographers who were formally trained for at least 1 year at a tertiary referral center, had 1 to 20 years of EUS experience, and perform at least 25 EUS-guided tissue sampling procedures annually. Patients were sampled using a 19-, 22- or 25-gauge FNA needle (EchoTip; Cook Medical or Expect; Boston Scientific). The number of passes, sampling technique, and use of additional techniques (e. g. applying negative suction with a syringe) were at the discretion of the performer.

Table 1 EUS-guided FNA and tissue processing specifics per center.

Center	EUS scope type	Annual EUS-FNA per endosonographer	ROSE available	Additional techniques	Smear preparation	Liquid cytology medium	Thin-layer cytology technique	Cellblock technique
Albert Schweitzer Hospital, Dordrecht	Olympus, linear GF-UCT180	25	Yes	Slow pull or Suction	Air dry, Hemocolor	Cytolyt	ThinPrep	Cellient Hologic
Reinier de Graaf Hosptial, Delft	Olympus, linear GF-UCT180	30	No	Slow pull	Air dry, No stain	Cytolyt, or Polytransportbuffer[1]	ThinPrep	Agar
Erasmus MC University Medical Center Rotterdam	Pentax EG-3870 UTK Olympus UTC 140/180	50	Yes	Slow pull or Suction	Air dry, Diff quick	Cytolyt	ThinPrep	Cellient Hologic
Haga Hospital, The Hague	Olympus, linear GF-UCT180	25	Yes	Slow pull	Air dry, Diff quick	Formalin	None	Paraffin cellblock
Ijsselland Hospital, Rotterdam	Olympus, linear GF-UCT180	25	Yes	Slow pull	Air dry, Diff quick Giemsa	CytoRichRed	None	Agar
Maasstad Hospital, Rotterdam	Pentax EG-3270 UK Olympus linear GF-UCT180	30	No	Slow pull	Air dry, Diff quick	CytoRichRed	None	Aalfix cellblock[1]
Sint Franciscus Hospital, Rotterdam	Pentax EUS-scope	20	No	Slow pull or Suction	Air dry, No stain	CytoRichRed	None	Agar

EUS, endoscopic ultrasound; FNA, fine-needle aspiration; ROSE, rapid on-site evaluation.

¹ Medium/technique developed locally.

Specimen handling

EUS-FNA specimens from the first pass were expelled from the needle using a stylet. Then, the specimen was split to prepare two separate glass slides using the smear technique. The remainder specimens from the same pass was collected in a liquid-based medium. Smears were performed using the “sandwich method” [27]. LBC was processed using thin layer preparation (ThinPrep, (Hologic) and/or the Cell block technique (Cellient automated Cell block system [Hologic]), the Agar technique, or Aalfix Cellblock, depending on local tissue handling protocols ([Table 1]). Subsequent passes were handled according to local standards and not included in the study. Smears and LBC were prepared on-site, by the endoscopy personnel (endoscopy nurse or endosonographer). On-site pathological assistance was only allowed after the first pass, once study material was collected.

Sample reviewing

All study samples were anonymized and sent to the Erasmus MC University Medical Center in Rotterdam for review by an expert cytopathologist and two cytotechnicians who were specialized in pancreaticobiliary diseases. Reviewers were blinded to the final clinical and pathological outcome. Sample assessment and scoring were done individually by the reviewers. Case discussion was not allowed. Smears, thin layer samples, and Cell blocks were analyzed consecutively.

Endpoints, scoring variables and definitions

The primary endpoint was comparison of diagnostic accuracy of the conventional smear method to the LBC technique of FNA specimens from solid pancreatic lesions. Sample diagnosis was based on the Bethesda classification, and scored as non-diagnostic, benign, atypical, or malignant [28]. The reviewing expert cytopathologist determined the final sample diagnosis. Gold standard diagnosis was based on the surgical resection specimens in operated patients, or on a compatible clinical disease course during a 12-month follow-up period. Solid pseudopapillary neoplasms (SPN) and NET grade 2 and 3 were classified as malignant [29] [30].

Secondly, we compared sample quality, defined as sample cellularity (< or > 50 % target cells) and presence of preparation artifacts, such as poor fixation, thick smear/clots, obscuring blood or inflammation, or cytolysis (no/yes). In addition, we compared interobserver agreement on sample diagnosis and quality among the three reviewers between the two techniques.

Other parameters that were scored included needle size, target lesion characteristics (location, size), number of needle passes performed, type of LBC medium used, and procedure-related complications (pancreatitis, infection, bleeding, other).

Statistics

Diagnostic accuracy and sample quality were compared between the smear and LBC technique, and were analyzed using logistic mixed effects models [31] with subject- and study center-specific (random) intercepts. This method allows taking into account the clustering structure of this multicenter trial, i. e., that observations from the same study center may be correlated. Separate models were fitted for comparison of SMEAR vs LBC and SMEAR vs ThinPrep vs Cell Block. Statistical significance was established as P < 0.05 (two-tailed).

Interobserver agreement among reviewers was calculated using kappa statistics [Fleiss’ ĸ-statistic and 95 % confidence intervals (Cls)]. ĸ- statistics were interpreted according to convention of Landis and Koch; < 0, no agreement; 0–0.20 slight agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, substantial agreement; and 0.81–1.0; almost perfect agreement. Because not all samples were evaluated for both LBC methods, ThinPrep and Cell block, some of the ratings were missing. To compare agreement coefficients, the coefficient was then calculated based on the samples for which all ratings of the methods in the current comparison were available. In settings where the agreement coefficients of three methods were compared, three pairwise tests were used and P values were corrected for multiple testing using Holm’s procedure [32]. For this, the P values presented in this manuscript have been multiplied by the number of comparisons. Analyses were carried out using R version 3.5.1 [33], and SPSS version 23, Statistical Package for the Social Sciences, SPSS Inc., Chicago, Illinois, United States.

Power calculation

To determine the power needed for this study, we first performed a pilot study to assess the diagnostic accuracy for malignancy for pancreatic EUS-FNA specimens prepared using the smears and LBC method in the Erasmus MC University Medical Center. A difference in diagnostic accuracy of 20 % between smear and LBC was found, and considered clinically relevant. We estimated that to find such a difference, a sample size of 59 to 72 pairs would have 80 % power to detect a difference in proportions of 0.250 when the proportion of discordant pairs is expected to be between 0.500–0.600 and the method of analysis is a McNemar's test of equality of paired proportions with a 0.050 two-sided significance level.

Results

Case characteristics

A total of 71 cases were included, of which lesion and sampling characteristics are listed in [Table 2]. No procedure-related complications were recorded. Final diagnosis comprised 64 (90 %) malignancies, three (4 %) atypical cases, including two neuroendocrine tumors and one case of pancreatitis, and four (6 %) benign cases. This diagnosis was based on resection specimens in 19 (29 %), additional tissue biopsy (i. e. peritoneal, brain, lymph node biopsy) in 13 (20 %), and follow-up in 33 (51 %) cases.

Table 2 Case characteristics.

Variables	Cases (n = 71)
Target lesion location, n (%)
Head	34 (48)
Uncinate process	6 (9)
Neck	4 (6)
Corpus	14 (20)
Tail	13 (18)
Target lesion size (mm), mean ± SD	31.0 ± 1.37
FNA needle size, n (%)
19-gauge	1 (1)
22-gauge	27 (38)
25-gauge	43 (61)
Number of passes, median (IQR)	3 (2–3)
Gold standard diagnosis
Benign	4 (6)
Atypical (NET, pancreatitis)	3 (4)
Malignant	64 (90)

SD, standard deviation; FNA, fine-needle aspiration; IQR, interquartile range; NET, neuroendocrine tumor.

Diagnostic accuracy and sample quality for smear versus LBC

Overall, diagnostic accuracy for malignancy of the first pass was 86 % (61/71). Accuracy was higher for samples processed using LBC than with the conventional smear technique (82 % versus 66 %, OR 2.62 95 % CI 1.13–6.79, P = 0.03). Overall diagnostic accuracy according to Bethesda was 80 % (57/71). For this classification, smears and LBC performed equally well (51 % versus 59 %, OR 1.44 95 % CI 0.73–2.92, P = 0.30). Comparing the diagnostic accuracy for malignancy and the Bethesda classification of smears to both LBC techniques individually did not result in a significant difference in diagnostic accuracy ([Table 3]). Cell block had lower sample cellularity than smear (OR 0.39 95 % CI 0.18–0.82, P = 0.01, [Table 4]), but there was no clear evidence of a difference between ThinPrep and smear (OR 0.51 95 % CI 0.21–1.16, P = 0.11). Sample quality, in terms of artifacts, was better for both LBC techniques as compared to the smears ([Table 4]).

Table 3 Overall diagnostic accuracy, and per tissue processing technique compared to smear.

Sampling technique	Accuracy for malignancy n (%)	OR (95 % CI)	P value	Accuracy for Bethesda n (%)	OR (95 % CI)	P value
Overall (n = 71)	61 (86)			57 (80)
Smear (n = 71)	47 (66)	1.92 (0.75–4.83)	[1]	36 (51)	1.03 (0.62–1.71)	[1]
LBC (n = 71)	58 (82)	2.62 (1.13–6.79)	0.03	42 (59)	1.44 (0.73–2.92)	0.30
ThinPrep (n = 42)	30 (71)	1.29 (0.52–3.26)	0.59	26 (62)	1.61 (0.74–3.76)	0.24
Cell block (n = 63)	39 (62)	0.78 (0.78–1.69)	0.53	22 (35)	0.51 (0.24–1.03)	0.07

OR, odds ratio; CI, confidence interval; LBC, liquid-based cytology

¹ Reference category.

Table 4 Sample quality per tissue processing technique, compared to smear.

Sampling technique	Artifacts n (%)	OR (95 % CI)	P value	Cellularity n (%)	OR (95 % CI)	P value
Smear (n = 71)	54 (76)	4.09 (1.54–15.16)	[1]	35 (49)	0.97 (0.43–2.04)	[1]
LBC (n = 71)
ThinPrep (n = 42)	24 (57)	0.32 (0.12–0.82)	0.02	14 (33)	0.51 (0.21–1.16)	0.11
Cell block (n = 63)	25 (40)	0.15 (0.05–0.35)	< 0.001	18 (29)	0.39 (0.18–0.82)	0.01

OR, odds ratio; CI, confidence interval; LBC, liquid-based cytology.

¹ Reference category.

Diagnostic agreement for smear vs LBC

The diagnostic agreement among the cytopathologist and the two cytotechnicians was equally good for identifying malignancy in smears (ĸ = 0.71, 95 % CI 0.57–0.84) and LBC samples (ĸ = 0.70, 95 % CI 0.55–0.86, P = 0.98). The same was true for their agreement on the Bethesda classification (ĸ = 0.70, 95 % CI 0.57–0.83 vs ĸ = 0.64, 95 % CI 0.50–0.78, P = 0.55). When ThinPrep (ĸ = 0.26, 95 % CI 0.04–0.48) and Cell block (ĸ = 0.79, 95 % CI 0.66–0.92) were assessed separately, agreement on presence of malignancy was comparable for Cell block and smears (ĸ = 0.79 vs. ĸ = 0.73, adjusted P = 0.53), but lower for ThinPrep than smears (ĸ = 0.261 vs ĸ = 0.640, adjusted P = 0.04). Similar results were found for the Bethesda classification ([Fig. 1]). Agreement on presence of artifacts was low for all processing techniques, and did not differ significantly between processing techniques ([Fig. 2]). Agreement on cellularity was highest for Cell block (ĸ = 0.64, 95 % CI 0.48–0.81) and smears (ĸ = 0.60, 95% CI 0.46–0.75), and lowest for ThinPrep (ĸ = 0.35, 95 % CI 0.14–0.56).

Fig. 1 Agreement on diagnostic accuracy of malignancy and the Bethesda classification for smear, ThinPrep and Cell block.

Fig. 2 Agreement on sample cellularity and presence of artifacts for smear, ThinPrep and Cell block.

Discussion

Liquid-based cytology using ThinPrep and Cell block provides higher diagnostic accuracy than and a comparable agreement to the conventional smear technique after a single FNA pass from solid pancreatic lesions in the absence of an on-site pathologist. LBC, therefore, is a good alternative to the smear technique in the absence of ROSE. The higher diagnostic agreement for Cell block than ThinPrep advocates for implementation of the Cell block technique for LBC.

The first explanation for the higher diagnostic accuracy of LBC than smear seems to be its lower artifact rate. It is generally accepted that smears are vulnerable to preparation artifacts, which induces interpretation errors, and may result in a lower diagnostic accuracy [25]. Despite the fact that the endoscopy staff in the current study participated in smear preparation training to optimize their performance before initiation of the study, 76 % of the smears still contained artifacts. This was much higher than the artifact rate for the Cell block (39.7 %) and ThinPrep samples (57.1 %).

Besides a low artifact rate, the histology-like look of Cell block samples likely contributes to easier interpretation and matching interobserver agreement. It has previously been reported that pathologists prefer histology or Cell block over conventional cytology preparation, as its appearance is much closer to the in situ tissue architecture [8]. Furthermore, LBC allows for additional testing, such as immunohistochemistry, which may be decisive in challenging diagnostic cases such as autoimmune pancreatitis, or differentiation between metastatic or primary disease. Although agreement was higher for Cell block than for ThinPrep, it should also be taken into account that special training of cytotechnicians and pathologists is a prerequisite for accurate interpretation of these different LBC techniques [8]. Therefore, choosing the optimal LBC technique will depend upon the preference and experience of the local pathologists.

The finding that sample cellularity was lower for LBC than for smears does not seem to match with its high diagnostic accuracy and agreement. It may be explained by the more homogeneous cell dispersion of LBC samples. This allows for better assessment of cell morphology, but may give the impression of a less “cellular sample.” On the other hand, highly cellular smears may be scored as containing more than enough target cells, but if cells are packed in thick layers, this only hampers the interpretation. Despite the lack of a clear definition of “FNA sample cellularity,” higher cellularity has been associated with higher DNA yield for molecular testing [14]. Therefore, it is crucial to determine the specific purpose of EUS-guided tissue collection in advance, and discuss this with the involved pathologist.

It is challenging to compare our findings to previous reports, since EUS-FNA protocols and tissue handling and processing techniques vary greatly. So far, 11 studies have compared the smear to the LBC technique for solid pancreatic lesions [9] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26]. Six of them reported a higher diagnostic accuracy for smears than LBC [9] [18] [21] [22] [23] [26]. Half of these studies used ROSE [18] [21] [22]. Overall, only three of the 11 studies that compared smear to LBC were performed without ROSE [9] [20] [26]. Of these studies, two found a benefit of smear over LBC [9] [26] and one found a benefit for LBC, using another ThinPrep-like solution (Surepath) [29]. Each study used different ThinPrep solutions, limiting a direct comparison with our results. Of the studies that reported a diagnostic benefit for LBC, two of three used the Cell block rather than the ThinPrep technique, which seems to correspond with our findings [17] [24] [25]. Lastly (or finally), none of the above-mentioned studies assessed diagnostic agreement on the different techniques.

Compared to results in other studies, our overall diagnostic accuracy rate of 86 % is rather high, considering the fact that material was collected from the first needle pass only. Previous studies mostly based their results on several passes. Moreover, we split the material from this first pass for smear and LBC. As a result, our samples likely contained less material as compared to other study settings. Therefore, our diagnostic accuracy rates underestimate the true diagnostic accuracy rates in our practices. Furthermore, the diagnostic accuracy of each preparation technique alone was somewhat lower than LBC overall. The most likely explanation for this is that ThinPrep and Cell block are complementary techniques that provide samples with a different phenotype and diagnostic possibilities.

Our study has some limitations. An important limitation of studies on EUS-guided tissue sampling is lack of uniform guidelines on optimal sampling and tissue-handling techniques. Therefore, the resulting intercenter variation should always be considered, and may hamper general extrapolation of our findings. Second, we did not power our study to perform additional subgroup analysis. Furthermore, although the participating endosonographers who performed the smears participated in hands-on FNA tissue preparation training, their experience is not comparable to that of on-site pathologists. Therefore, this may have limited the diagnostic accuracy of the smears. Another limitation is that the reviewing pathology staff could not be blinded to the processing technique, as their appearance differs accordingly. Furthermore, we did not perform a cost-effectiveness analysis due to differences in local EUS-protocols between the participating centers. Last, we only assessed the performance for both processing techniques for the first FNA pass, as our study was primarily designed to verify the concept that LBC could replace smears in clinical practice, not to evaluate the absolute diagnostic accuracy of the two techniques. Our data suggest that, in the absence of ROSE, LBC may replace smears.

Although LBC may replace smear preparation of pancreatic FNA specimens, in the absence of ROSE, its clinical importance may be questioned because there is growing evidence of the superiority of FNB over FNA [34] [35]. It would be interesting to directly compare the diagnostic accuracy of FNA specimens in liquid-based cytology to FNB cores in formalin, preferably in an international multicenter setting. Furthermore, it should be noted that tissue collection for liquid preparation techniques is easy for the endosonographer, but requires a well-equipped pathology laboratory and trained personnel. Therefore, introducing and implementing novel techniques and innovations for EUS-guided tissue sampling should always be done in close cooperation with the pathology department.

Conclusion

In conclusion, absent an on-site pathologist, the diagnostic accuracy of EUS-FNA for solid pancreatic lesions can be increased with the LBC technique as compared to the conventional smear technique. Because LBC provided for higher diagnostic accuracy and comparable interobserver agreement than smears, it may be routinely implemented in EUS centers lacking ROSE. The higher agreement for Cell block advocates for implementation of Cell block rather than ThinPrep. However, providing optimal EUS-tissue sampling depends on many factors, including experience and skills of the involved endoscopy and pathology team, and starts with the determination of the diagnostic or therapeutic purpose of tissue acquisition.

Competing interests

None

^* These authors contributed equally.

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