Comparison of 22G Fork-Tip and Franseen Needles and Usefulness of Contrast-Enhanced Endoscopic Ultrasound for Diagnosis of Upper Gastrointestinal Subepithelial Lesions

Endoscopic ultrasound-guided fine-needle aspiration for gastrointestinal subepithelial lesions

Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is the first-choice procedure for obtaining pathological tissue samples from gastrointestinal (GI) subepithelial lesions (SELs). However, its diagnostic accuracy is lower than that for pancreatic masses owing to puncture difficulty and the need for immunostaining for definitive diagnosis. The advent of fine-needle biopsy needles, which have become well known in recent years, improves the diagnostic accuracy of EUS-FNA for GI SELs. The forward-viewing echoendoscope and rapid on-site evaluation (ROSE) have also helped to improve diagnostic accuracy. Furthermore, in facilities where ROSE is not available, endosonographers perform a macroscopic on-site evaluation. With these procedural innovations, EUS-FNA is now performed aggressively even for SELs smaller than 20 mm. The incidence of procedure-related adverse events such as bleeding and infection is low, and thus, EUS-FNA can be safely performed to diagnose SELs.

Comparison of 19G FNA Versus 22G FNB Needles for Endoscopic Ultrasound-Guided Fine-Needle Sampling of Subepithelial Tumors: Is Bigger Better?

OBJECTIVES

To compare the diagnostic efficiency of 19G fine-needle aspiration (FNA) and 22G fine-needle biopsy (FNB) in endoscopic ultrasound (EUS)-guided sampling for subepithelial tumors (SETs).

METHODS

The data of patients with SETs who underwent 19G FNA or 22G FNB were reviewed retrospectively in two tertiary hospitals. Tissue cores were assessed by macroscopic on-site evaluation (MOSE). Cytological or histological diagnosis were classified as definite, suspect, or no diagnosis.

RESULTS

Seventy five patients (mean age: 55 years, 44 males) underwent 19G EUS-FNA (31) or 22G EUS-FNB (44). The overall diagnostic yield was 82.7%. The rate of definite cytological diagnoses was 9.7% (3/31) in 19G and 13.6% (6/44) in 22G group (x2  = 1.520, P = .468). In terms of MOSE, 19G needle, requiring only two punctures, achieved a higher good tissue core rate than 22G group (100.0% [31/31] versus 84.1% [37/44], x2  = 5.440, P = .020]). For histological diagnosis, the 19G group achieved higher definite rate than the 22G group, 93.6% (29/31) versus 65.9% (29/44) (x2  = 7.957, P = .019) on the first puncture, 90.3% (28/31) versus 63.6% (28/44) (x2  = 7.139, P = .028) on the second puncture, 96.8% (30/31) versus 70.5% (31/44) (x2  = 7.319, P = .026) on both the first and second punctures, and 96.8% (30/31) versus 72.7% (32/44) (x2  = 7.538, P = .023) on all three punctures.

CONCLUSIONS

The 19G EUS-FNA requires only two punctures to achieve better tissue core quality by MOSE and yields a higher rate of histological diagnosis than 22G ProCore needle for SETs. The bigger 19G FNA needle seems to play an important role in the evaluation of SETs.

Technical outcomes and postprocedural courses of mucosal incision-assisted biopsy for possible gastric gastrointestinal stromal tumors: A series of 48 cases (with video)

Objective

Mucosal incision-assisted biopsy (MIAB) has been introduced as an alternative to endoscopic ultrasound-guided fine needle aspiration for tissue sampling of subepithelial lesions. However, there have been few reports on MIAB, and the evidence is lacking, particularly in small lesions. In this case series, we investigated the technical outcomes and postprocedural influences of MIAB for gastric subepithelial lesions 10 mm or greater in size.

Methods

We retrospectively reviewed cases with the intraluminal growth type of possible gastrointestinal stromal tumors, in which MIAB was performed at a single institution between October 2020 and August 2022. Technical success, adverse events, and clinical courses following the procedure were evaluated.

Results

In 48 MIAB cases with a median tumor diameter of 16 mm, the success rate of tissue sampling and the diagnostic rate were 96% and 92%, respectively. Two biopsies were considered sufficient for making the definitive diagnosis. Postoperative bleeding occurred in one case (2%). In 24 cases, surgery has performed a median of two months after MIAB, and no unfavorable findings caused by MIAB were seen intraoperatively. Finally, 23 cases were histologically diagnosed as gastrointestinal stromal tumors, and no patients who underwent MIAB experienced recurrence or metastasis during a median observation period of 13 months.

Conclusions

The data indicated that MIAB appears feasible, safe, and useful for histological diagnosis of gastric intraluminal growth types of possible gastrointestinal stromal tumors, even those of a small size. Postprocedural clinical effects were considered negligible.

Endoscopic Ultrasound Advanced Techniques for Diagnosis of Gastrointestinal Stromal Tumours

Gastrointestinal Stromal Tumors (GISTs) are subepithelial lesions (SELs) that commonly develop in the gastrointestinal tract. GISTs, unlike other SELs, can exhibit malignant behavior, so differential diagnosis is critical to the decision-making process. Endoscopic ultrasound (EUS) is considered the most accurate imaging method for diagnosing and differentiating SELs in the gastrointestinal tract by assessing the lesions precisely and evaluating their malignant risk. Due to their overlapping imaging characteristics, endosonographers may have difficulty distinguishing GISTs from other SELs using conventional EUS alone, and the collection of tissue samples from these lesions may be technically challenging. Even though it appears to be less effective in the case of smaller lesions, histology is now the gold standard for achieving a final diagnosis and avoiding unnecessary and invasive treatment for benign SELs. The use of enhanced EUS modalities and elastography has improved the diagnostic ability of EUS. Furthermore, recent advancements in artificial intelligence systems that use EUS images have allowed them to distinguish GISTs from other SELs, thereby improving their diagnostic accuracy.