Literature DB >> 31964357

Superiority of mucosal incision-assisted biopsy over ultrasound-guided fine needle aspiration biopsy in diagnosing small gastric subepithelial lesions: a propensity score matching analysis.

Yosuke Minoda1, Takatoshi Chinen1, Takashi Osoegawa2, Soichi Itaba3, Kazuhiro Haraguchi4, Hirotada Akiho5, Akira Aso5, Yorinobu Sumida2, Keishi Komori1, Haruei Ogino1, Eikichi Ihara6, Yoshihiro Ogawa1.   

Abstract

BACKGROUND: Gastric subepithelial lesions, including gastrointestinal stromal tumors, are often found during routine gastroscopy. While endoscopic ultrasound-guided fine-needle aspiration biopsy (EUS-FNAB) has been the gold standard for diagnosing gastric subepithelial lesions, alternative open biopsy procedures, such as mucosal incision-assisted biopsy (MIAB) has been reported useful. The aim of this study is to evaluate the efficacy of MIAB for the diagnosis of gastric SELs compared with EUS-FNAB.
METHODS: We retrospectively analyzed medical records of 177 consecutive patients with gastric SELs who underwent either MIAB or EUS-FNAB at five hospitals in Japan between January 2010 and January 2018. Diagnostic yield, procedural time, and adverse event rates for the two procedures were evaluated before and after propensity-score matching.
RESULTS: No major procedure-related adverse events were observed in either group. Both procedures yielded highly-accurate diagnoses once large enough samples were obtained; however, such successful sampling was more often accomplished by MIAB than by EUS-FNAB, especially for small SELs. As a result, MIAB provided better diagnostic yields for SELs smaller than 20-mm diameter. The diagnostic yields of both procedures were comparable for SELs larger than 20-mm diameter; however, MIAB required significantly longer procedural time (approximately 13 min) compared with EUS-FNAB.
CONCLUSIONS: Although MIAB required longer procedural time, it outperformed EUS-FNAB when diagnosing gastric SELs smaller than 20-mm diameter.

Entities:  

Keywords:  Mucosal incision-assisted biopsy; Subepithelial lesion; Ultrasound-guided fine needle aspiration biopsy

Year:  2020        PMID: 31964357      PMCID: PMC6975081          DOI: 10.1186/s12876-020-1170-2

Source DB:  PubMed          Journal:  BMC Gastroenterol        ISSN: 1471-230X            Impact factor:   3.067


Background

Gastrointestinal stromal tumors (GISTs) and leiomyomas are the most common types of gastric subepithelial lesions (SELs) [1-3]. Many guidelines recommend histological evaluation of gastric SELs that have characteristics suggestive of GISTs [4-6]. Although endoscopic ultrasound-guided fine-needle aspiration biopsy (EUS-FNAB) has been the gold standard for such evaluation, obtaining large enough samples for histological analyses by using this technique is sometimes difficult, even with the recently-developed FNB needles and forward-viewing endoscopes. Alternatively, “open biopsy” of SELs can be performed by partially removing the covering mucosa and exposing the lesion. Since the development of endoscopic submucosal dissection (ESD) for gastrointestinal neoplasms, ESD knives have increasingly been used to perform open biopsies of SELs [7-9]. We have named this biopsy technique, which was originally reported by Lee et al., [9] but which did not have a specific name, mucosal incision-assisted biopsy (MIAB) [10]. Our previous study suggested that MIAB is useful for SELs with intraluminal, but not extraluminal, growth patterns [11]. Our more recent study [11] suggested that MIAB and EUS-FNAB are of comparable usefulness for diagnosing SELs; however, the number of patients enrolled in that study (23 patients in MIAB group) was too small to enable evaluation of the efficacy of MIAB for SELs of differing sizes. Thus, in the current study, we collected medical records of a larger number of patients with SELs with intraluminal growth patterns and compared the usefulness, diagnostic yield, procedural time, and associated adverse events of MIAB and EUS-FNAB.

Methods

Patients

This was a retrospective comparative analysis of MIAB and EUS-FNAB using data for patients with gastric SELs with intraluminal growth patterns who underwent either MIAB or EUS-FNAB at five hospitals in Japan (Kyushu University Hospital, Kyushu Medical Center, Harasanshin Hospital, Kyushu Rosai Hospital, and Kitakyushu Municipal Medical Center) between January 2010 and January 2018. No patients who met the above criteria were excluded from the study. The decision to use MIAB or EUS-FNAB was left to the primary physician for each patient. The intraluminal growth pattern of the SELs was confirmed by preoperative gastroscopy and EUS, and SEL size was measured on EUS images. All patients who underwent biopsy (either MIAB or EUS-FNAB) were suspected before biopsy of having tumors of mesenchymal origin, such as GISTs, leiomyomas, schwannomas, and glomus tumor, on the basis of EUS findings.

MIAB and EUS-FNAB procedures

For MIAB, to lift the mucosa covering the SEL and to create a safer incision, normal saline or glycerol supplemented with diluted epinephrine was injected into the submucosal layer above the lesion. The target mucosal and submucosal tissues were incised with an endoscopic submucosal dissection knife (Needle knife, Olympus, Tokyo, Japan; Flush knife, Fuji Film, Tokyo, Japan) using electrosurgical current generated by a high-frequency power supply (ICC or VIO300D; ERBE, Tubingen, Germany). After exposing the lesion, tissue samples were obtained by biopsy forceps (Radial jaw, Boston Scientific, Natick, MA, USA). Approximately 3–7 biopsy samples were obtained from each lesion. For EUS-FNAB, 19- to 25-gauge FNAB needles (described later) were used to obtain SEL samples through the mucosa under the guidance of oblique-view EUS imaging (GF-UCT 260; Olympus). Rapid on-site evaluation (ROSE) by cytologists or pathologists was performed for all EUS-FNAB procedures. Half of each FNAB sample was used for ROSE and the other half reserved for later histological examination. The procedures were repeated a maximum of six times until either the biopsy team considered they had obtained enough samples for histology, for example, because the cytologists/pathologists had seen numerous spindle cells, indicating that the needle had reached a GIST, or the team decided to end the procedure due to difficulties in sample collection. All samples in both groups were later evaluated histologically by pathologists. All patients were monitored daily for symptoms and signs of hematomesis and hematochezia.

Comparison between MIAB and EUS-FNAB

Three aspects of MIAB and EUS-FNAB were compared: diagnostic yield, procedural time, and adverse event rate. The procedural time was defined as the time from start to finish of the biopsy procedures. The data were collected from the operational records of patients. Major bleeding was defined as a ≥ 2 g/dL drop in blood hemoglobin.

Comparison between EUS-FNA and EUS-FNB

The following needles were categorized as FNA and FNB needles: FNA; SonoTip, Mediglobe GmbH, Rosenheim, Germany; Expect, Boston Scientific; Ez-shot, Olympus, Tokyo, Japan; and FNB: Echo-Tip Procore, Cook Medical, Bloomington, USA; Acquire, Boston Scientific. The diagnostic yields achieved by FNA and FNB needles were compared.

Statistical analysis

All statistical analyses were performed using the JMP software program version 13.0 (SAS Institute, Cary, NC, USA). Comparisons between MIAB and EUS-FNAB were performed before and after propensity-score matching of the lesion sizes in the two groups (Fig. 1). The chi-squared test or Fisher’s exact test were used to compare the categorical data (patients’ characteristics, lesion locations, and histology types). Student’s t-test was used to compare continuous data (age, lesion size, and procedural time) before propensity-score matching. We used a multivariate logistic regression analysis to evaluate the relationship between the diagnostic yield and lesion size. After propensity-score matching, Student’s paired t-test was used to compare continuous data in the two groups. P < 0.05 indicated statistical significance, for all tests.
Fig. 1

Summary of the study protocol

Summary of the study protocol To estimate propensity scores, lesion sizes (mm) were entered as independent variables into a multivariate logistic regression model. This model yielded an area under the receiver operating characteristic curve score of 0.67. Once the propensity scores were estimated, we matched patients in the two groups by setting calipers, using the stringency scores in the JMP software program, at a width equal to a distance of 0.2 from the standard deviation of the logit of the propensity score, without replacement. The effect of matching was evaluated in terms of the absolute standardized difference.

Results

Comparisons between MIAB and EUS-FNAB

A total of 177 SELs from 177 consecutive patients (male, n = 87; female, n = 90) were included in this study. The characteristics of the patients and lesions in both groups are summarized in Table 1. Seventy-one patients underwent MIAB, and 106 underwent EUS-FNAB. There were no significant differences between the groups in sex, age, lesion size, lesion location, or histological type. No procedure-related adverse events, including late-onset bleeding after discharge from hospital, major bleeding, or gastric perforation, occurred in either group. The success rate of tissue sampling was higher with MIAB than with EUS-FNAB (95.6% vs. 86.8%, respectively; P = 0.047). Accordingly, the diagnostic yield of MIAB was significantly higher than that of EUS-FNAB (94.3% vs. 79.2%, respectively; P = 0.013). However, MIAB took significantly longer to perform than EUS-FNAB (31.5 min vs. 21 min, respectively; P < 0.0001). Among the SELs successfully diagnosed by either MIAB or EUS-FNAB, 102 were diagnosed as GISTs, 69 of which were surgically resected in one of the five participating hospitals; all were confirmed to be GISTs.
Table 1

Patient and lesion characteristics

MIAB groupEUS-FNAB groupP value
Number of patients71106
Gender; male/female31/4056/50n.s. (P = 0.23)
Age; median & range62 (27–84)63 (27–87)n.s. (P = 0.95)
Lesion size (mm); median & range19.6 (8.8–48)20.0 (9–63)n.s. (P= 0.096)
Number of lesions in each gastric locationn.s. (P= 0.61)
 Upper stomach4066
 Middle stomach1826
 Lower stomach1314
Procedural time (min); median & range31.5 (9–160)21.0 (8–55)P < 0.0001
Success rate of tissue sampling95.6% (68/71)86.8% (92/106)P = 0.047
Diagnostic yield94.3% (67/71)79.2% (84/106)P = 0.013
Complication rate0% (0/71)0% (0/106)n.s (P = 1.0)
Number of lesions of each histology typen.s. (P = 0.053)
GIST53.5% (38/71)60.4% (64/106)
 Leiomyoma25.3% (18/71)11.3% (12/106)
 Schwannoma2.8% (2/71)3.8% (4/106)
 Aberrant pancreas8.5% (6/71)2.8% (3/106)
 Glomus tumor1.4% (1/71)
 Lipoma1.4% (1/71)
 Inflammatory change1.4% (1/71)
 Renal cell carcinoma0.9% (1/106)
Matching rate of pre- and post-operative diagnoses100% (35/35)100% (34/34)n.s. (P = 1.0)
Patient and lesion characteristics

The effects of SEL size and location on diagnostic yields of EUS-FNAB and MIAB

As shown in Table 2, the diagnostic yield with EUS-FNAB for SELs < 20-mm diameter was significantly lower than with SELs ≥20-mm diameter (88.0% vs 71.4%, respectively; P = 0.048). In contrast, the diagnostic yield with MIAB was not affected by lesion size (92.3% vs 93.3%, < 20-mm vs ≥ 20-mm diameter, respectively; P = 0.51). The diagnostic yields for samples from the upper/middle/lower parts of the stomach were 92.5%/88.9%/100% with MIAB and 84.5%/76.9%/57.1% with EUS-FNAB. SEL location did not affect the diagnostic yield with either procedure (P = 0.48 with MIAB and P = 0.067 with EUS-FNAB).
Table 2

Relationships between lesion size and location, and diagnostic yields with MIAB and EUS-FNAB

MIAB groupP valueEUS-FNAB groupP value
Lesion sizes and diagnostic yield≥ 20 mm: 92.3%n.s. (P = 0.51)≥ 20 mm: 88.0%P = 0.048
<  20 mm: 93.3%<  20 mm: 71.4%
Lesion locations and diagnostic yieldUpper: 92.5%n.s. (P = 0.48)Upper: 84.5%n.s. (P = 0.067)
Middle: 88.9%Middle: 76.9%
Lower: 100%Lower: 57.1%
Relationships between lesion size and location, and diagnostic yields with MIAB and EUS-FNAB

Comparison of MIAB and EUS-FNAB before and after propensity-score matching

Because the initial analyses suggested the superiority of MIAB over EUS-FNAB, especially for diagnosing SELs < 20-mm diameter, the SELs were divided into two groups (≥ 20-mm and <  20-mm diameter) and MIAB and EUS-FNAB compared (Fig. 1, Tables 3 and 4). For this comparison, lesion sizes were matched between the MIAB and EUS-FNA groups using propensity-score matching analysis. As shown in Tables 3 and 4, after matching propensity scores on the basis of lesion size, there was no difference between the two groups in patient characteristics or sizes and locations of lesions. The procedural times for MIAB and EUS-FNAB for SELs ≥20-mm diameter were 32 min and 20.5 min, respectively, whereas procedural times for MIAB and EUS-FNAB for SELs < 20-mm diameter were 31 min and 20 min, respectively. MIAB took significantly longer to perform (on average, 12–14 min longer) than EUS-FNAB, regardless of lesion size. For SELs ≥20-mm diameter, the success rate of tissue sampling and diagnostic yields did not differ significantly between the two procedures (P = 0.55) (Table 3). However, for SELs < 20-mm diameter, MIAB yielded a significantly higher successful diagnosis rate than did EUS-FNAB (93.5% vs. 61.2%, respectively; P = 0.011) (Table 4). The results of the analysis after matching the propensity scores based on lesion sizes and locations are shown in Additional file 1: Table S1. Again, the procedural time was significantly longer for MIAB than EUS-FNAB for all sizes of SELs. Both the success rate of tissue sampling and the diagnostic yield were higher with MIAB than with EUS-FNAB for SELs < 20 mm.
Table 3

Comparison of MIAB and EUS-FNAB in diagnosing SELs ≥20-mm diameter (using the matching factor of lesion size)

Before matchingAfter matching
MIAB groupEUS-FNAB groupP valueMIAB groupEUS-FNAB groupP value
Number of patients2650n.s. (P = 0.051)2525n.s. (P = 1.0)
Gender; male/female10/1619/31n.s. (P = 0.051)10/1511/14n.s. (P = 0.77)
Age; median & range62.5 (24–79)63.5 (28–78)n.s. (P = 0.88)62 (24–79)68 (36–77)n.s. (P = 0.27)
Lesion size (mm); median & range26.2 (20–48)28 (20–63)P = 0.04025 (20–36)24 (20–36)n.s. (P = 0.95)
Number of lesions in each gastric locationn.s. (P = 0.98)n.s. (P = 0.93)
 Upper stomach16321516
 Middle stomach5955
 Lower stomach5954
Procedural time (min); median & range32 (9–70)22.5 (8–55)P = 0.04332 (9–70)20.5 (8–41)P = 0.018
Success rate of tissue sampling96.1% (25/26)90.0% (45/50)P = 0.06296.0% (24/25)96.0% (24/25)n.s. (P = 1.0)
Diagnostic yield92.3% (24/26)88.0% (44/50)n.s. (P = 0.56)96.0% (24/25)96.0% (24/25)n.s. (P = 1.0)
Complication rate0% (0/26)0% (0/50)n.s. (P = 1.0)0% (0/25)0% (0/25)n.s. (P = 1.0)
Number and frequency of lesions of each histology typen.s. (P = 0.12)n.s. (P = 0.091)
 GIST65.3% (17/26)64.0% (32/50)64% (16/25)88% (22/25)
 Leiomyoma23.1% (6/26)16.0% (8/50)24% (6/25)4% (1/25)
 Schwannoma6.0% (3/50)4% (1/25)
 Aberrant pancreas8.0% (2/26)8% (2/25)
Renal cell carcinoma2.0% (1/50)
Table 4

Comparison of MIAB and EUS-FNAB in diagnosing SELs < 20-mm diameter (using the matching factor of lesion size)

Before matchingAfter matching
MIAB groupEUS-FNAB groupP valueMIAB groupEUS-FNAB groupP value
Number of patients4556n.s. (P = 0.84)3131n.s. (P = 1.0)
Gender; male/female21/2425/31n.s. (P = 0.84)14/1713/18n.s. (P = 0.80)
Age; median & range62.0 (27–84)62.0 (27–87)n.s. (P = 0.98)>62.0 (27–82)64.0 (27–83)n.s. (P = 0.77)
Lesion size (mm); median & range15.0 (8.8–19.8)16.0 (9.0–19.8)n.s. (P = 0.84)17 (8.8–19.8)15 (9–19.8)n.s. (P = 0.99)
Number of lesions in each gastric locationn.s. (P = 0.41)n.s. (P = 0.92)
 Upper stomach24341818
 Middle stomach131789
 Lower stomach8554
Procedural time (min); median & range31 (10–160)20 (9–49)P < 0.00131 (10–160)20 (10–49)P = 0.0093
Success rate of tissue sampling97.8% (44/45)85.7% (48/56)P = 0.3493.5% (29/31)61.3% (19/31)P = 0.011
Diagnostic yield93.3% (42/45)71.4% (40/56)>P = 0.00593.5% (29/31)61.3% (19/31)P = 0.011
Complication rate0% (0/45)0% (0/56)n.s. (P = 1.0)0% (0/31)0% (0/31)n.s. (P = 1.0)
Number and frequency of lesions of each histology typen.s. (P = 0.066)n.s. (P = 0.14)
 GIST46.7% (21/45)57.1% (32/56)48.4% (15/31)42.0% (13/31)
 Leiomyoma26.7% (12/45)8.9% (5/56)25.8% (8/31)12.9% (4/31)
 Schwannoma4.4% (2/45)1.7% (1/56)6.5% (2/31)
 Aberrant pancreas8.9% (4/45)3.4% (2/56)6.5% (2/31)6.5% (2/31)
 Glomus tumor2.2% (1/45)
 Lipoma2.2% (1/45)3.2% (1/31)
 Inflammatory change2.2% (1/45)3.2% (1/31)
Comparison of MIAB and EUS-FNAB in diagnosing SELs ≥20-mm diameter (using the matching factor of lesion size) Comparison of MIAB and EUS-FNAB in diagnosing SELs < 20-mm diameter (using the matching factor of lesion size)

Comparison between EUS-FNA, EUS-FNB, and MIAB

Because previous reports have suggested that the more recently developed FNB needles are superior to FNA needles for collecting samples, especially for pancreatic lesions [12-14], the diagnostic yields of the two types of needles were compared with yields for MIAB. FNA needles were used for 69 and FNB needles for 37 of the 106 patients who underwent EUS-FNAB. For SELs ≥20-mm diameter, EUS-FNA and EUS-FNB were performed in 33 and 17 patients, respectively, whereas for SELs < 20-mm diameter, EUS-FNA and EUS-FNB were performed in 36 and 20 patients, respectively. For SELs ≥20-mm diameter, the diagnostic yield of EUS-FNB (100%) was significantly higher than that of EUS-FNA (80.7%) (P = 0.041), but comparable to that of MIAB (96%) (P = 0.38). However, for SELs < 20-mm diameter, the diagnostic yields of EUS-FNA and EUS-FNB did not differ significantly (68.7 and 77.8%, respectively) (P = 0.065). For this size of SELs, MIAB outperformed both EUS-FNA and EUS-FNB (Tables 5, 6, Fig. 2).
Table 5

Patient and lesion characteristics, who underwent EUS-FNA and EUS-FNB

EUS-FNA groupEUS-FNB groupP value
Number of patients6937
Gender; male/female33/3623/14n.s. (P = 0.16)
Age; median & range62 (27–87)65 (36–78)n.s. (P = 0.42)
Lesion size (mm); median & range20.0 (9–58)21.0 (10–63)n.s. (P = 0.94)
Number of lesions in each gastric locationn.s. (P = 0.22)
 Upper stomach4125
 Middle stomach1610
 Lower stomach122
Procedural time (min); median & range22 (9–55)20 (8–49)n.s. (P = 0.76)
Success rate of tissue sampling84.1% (58/69)91.9% (34/37)n.s. (P = 0.26)
Diagnostic yield73.9% (51/69)89.2% (33/37)n.s. (P = 0.065)
Complication rate0% (0/69)0% (0/37)n.s. (P = 1.0)
Table 6

Comparison of EUS-FNA and EUS-FNB in diagnosing SELs

SELs < 20 mmSELs ≥ 20 mm
EUS-FNA groupEUS-FNB groupP valueEUS-FNA groupEUS-FNB groupP value
Number of patients38183119
Gender; male/female16/229/9n.s. (P = 0.58)17/1414/5n.s. (P = 0.18)
Age; median & range62.5 (27–87)60.5 (38–77)n.s. (P = 0.95)61 (28–77)66 (36–78)n.s. (P = 0.20)
Lesion size (mm); median & range15 (9–19.8)16 (10–19.8)n.s. (P = 0.35)30 (20–58)26 (20–63)n.s. (P = 0.86)
Number of lesions in each gastric locationn.s. (P = 0.27)n.s. (P = 0.94)
 Upper stomach22121913
 Middle stomach11654
 Lower stomach5072
Procedural time (min); median & range20 (9–37)23 (11–49)n.s. (P = 0.18)25 (9–55)19 (8–41)n.s. (P = 0.41)
Success rate oftissue sampling79.0% (30/38)83.3% (15/18)n.s. (P = 0.70)90.3% (28/31)100% (19/19)n.s. (P = 0.16)
Diagnostic yield68.4% (26/38)77.8% (14/18)n.s. (P = 0.47)80.1% (25/31)100% (19/19)P = 0.041
Complication rate0% (0/38)0% (0/18)n.s. (P = 1.0)0% (0/31)0% (0/19)n.s. (P = 1.0)
Fig. 2

Relationships between the lesion sizes and diagnostic yields. The regression curves for MIAB, EUS-FNA, EUS-FNB were generated from the data shown in Tables 1, 2, 3, 4, 5 and 6

Patient and lesion characteristics, who underwent EUS-FNA and EUS-FNB Comparison of EUS-FNA and EUS-FNB in diagnosing SELs Relationships between the lesion sizes and diagnostic yields. The regression curves for MIAB, EUS-FNA, EUS-FNB were generated from the data shown in Tables 1, 2, 3, 4, 5 and 6

Discussion

To diagnose GISTs, immunohistochemical staining for several antigens, such as c-Kit, DOG1, and S-100, is necessary [4, 15–18]. Obtaining samples large enough to perform several immunohistochemical evaluations is sometimes very difficult when performing EUS-FNAB, especially when the lesion is small [19]. This leads to failure in making a diagnosis despite time-consuming procedures and on-site evaluations by pathologists. The reported diagnostic yield of EUS-FNAB for small gastric SELs is 62–82% [19, 20]. In the current study, we showed the superiority of MIAB over EUS-FNAB for diagnosing gastric SELs with intraluminal growth < 20-mm diameter. Our findings are partially consistent with a previous study that reported comparable diagnostic yields with MIAB and EUS-FNAB for gastric SELs [7]. However, in that study the lesions were not classified into small and large groups; MIAB is especially useful for obtaining samples from small SELs. Although metastasis or invasion of GISTs < 20 mm diameter is considered very rare [21, 22], many guidelines recommend surgical resection of GISTs, regardless of the lesion size. We have encountered a patient with metastasis from a GIST of approximately 15 mm diameter [23]. Improving biopsy skills for such small SELs is necessary. MIAB does not require EUS during biopsy, nor does it require on-site evaluation by cytologists or pathologists. With MIAB, it is immediately evident whether samples sufficient for histological evaluation have been obtained. Therefore, MIAB could be preferable considering the possibility of diagnostic failure following FNAB and situations where EUS systems are unavailable. Very similar open biopsy techniques, such as single-incision needle-knife biopsy (SINK) and unroofing biopsy have also been reported [24-26]. These procedures may have advantages similar to those of MIAB. The designs of aspiration needles have been modified to enable collection of larger biopsy samples, including development of the so-called fine needle biopsy (FNB) needles. Although FNB needles are reportedly superior to conventional FNA needles for the diagnosis of pancreatic lesions, their usefulness for diagnosis of gastric SELs is controversial [27-29]. Our findings suggest that the diagnostic yields with EUS-FNA, EUS-FNB, and MIAB are comparable for SELs ≥20-mm diameter. For SELs < 20-mm diameter, our results are consistent with those reported for pancreatic lesions, where FNB needles outperformed FNA needles. However, MIAB outperformed both FNA and FNB needles in terms of diagnostic yield. The strategies for the treatment of SELs with diameters within the range of 20–50-mm slightly differ among guidelines. The Japanese guidelines recommend biopsy for such SELs, whereas the European and American guideline recommends either performing biopsy or directly resecting the lesion [4-6]. In our study, despite the fact that all patients who underwent biopsy were suspected of having tumorous lesions on the basis of EUS findings, a few lesions turned out to be non-tumorous, such as the aberrant pancreas and inflammatory reactions. Because a few SELs show atypical EUS findings, we think biopsy is the preferable approach than direct surgery for SELs within 20–50-mm diameter. The diagnostic yield with MIAB for SELs within this range were comparable to that with EUS-FNAB. However, considering the fact that MIAB takes longer to perform and is only effective for SELs with intraluminal growth, EUS-FNAB would remain the standard biopsy procedure for SELs with diameters within this range. Our study also revealed that MIAB and EUS-FNAB are very safe techniques. No major or minor adverse events were reported in our hospitals. Although MIAB uses skills and devices developed for endoscopic submucosal dissection, the adverse event rate following MIAB was much lower than that reported for endoscopic submucosal dissection. The incidence of bleeding in patients undergoing endoscopic submucosal dissection for gastric mucosal tumors is reportedly 2–15% [30-35] . The lower rate with MIAB is likely because this procedure requires only a partial incision into the normal mucosa covering the SEL, whereas with endoscopic submucosal dissection an entire tumor of epithelial origin (i.e., adenoma or adenocarcinoma) is resected. Such epithelial tumors are usually fed by thick vessels from the submucosal layer; thus, endoscopic submucosal dissection requires transecting those vessels, which could lead to major or late-onset bleeding. Our data suggest that MIAB is a safe and reliable approach; however, one concern about this procedure is that it exposes tumor cells of GISTs by disrupting the fibrous pseudocapsule within which those tumor cells are usually encapsulated. EUS-FNAB also requires piercing of the pseudocapsule; however, the area that is disrupted (a pinhole) is much smaller than that with MIAB. Thus, in MIAB, more cells could be released into the gastric lumen from the biopsied area. It is unlikely that such freed tumor cells would attach to and grow in other parts of the gastrointestinal tract; however, when the stomach is perforated during an unsatisfactory procedure and gastric contents are released into the abdominal cavity, the chances of tumor seeding may be increased. Although we have not encountered MIAB-associated perforation or tumor seeding, great care should be taken to avoid this. In particular, MIAB should be performed only on lesions that are visible by conventional endoscopy. As to limitations, this study had a retrospective design. Thus, our findings require confirmation by a prospective randomized trial; however, our data provide reasonable support for open biopsy as an option for obtaining samples from gastric SELs.

Conclusions

In conclusion, although MIAB takes approximately 13 min longer to perform than EUS-FNAB, MIAB provides significantly better diagnostic yields for gastric SELs smaller than 20-mm diameter with intraluminal growth, regardless of their location. MIAB may be a good option for diagnosing small gastric SELs. In our study, the diagnostic yields with MIAB and EUS-FNAB were comparable for gastric SELs ≥20-mm diameter. Considering the shorter procedural time required, EUS-FNAB should remain the standard for diagnosing larger lesions. Additional file 1: Table S1. Comparison of MIAB and EUS-FNAB in diagnosing SELs < 20-mm diameter (using the matching factors of lesion size and location).
  35 in total

1.  Endoscopically visualized features of gastric submucosal tumors on submucosal endoscopy.

Authors:  Hideki Kobara; Hirohito Mori; Shintaro Fujihara; Noriko Nishiyama; Johji Tani; Asahiro Morishita; Makoto Oryu; Kunihiko Tsutsui; Tsutomu Masaki
Journal:  Endoscopy       Date:  2014-12-19       Impact factor: 10.093

2.  The role of endoscopy in subepithelial lesions of the GI tract.

Authors:  Ashley L Faulx; Shivangi Kothari; Ruben D Acosta; Deepak Agrawal; David H Bruining; Vinay Chandrasekhara; Mohamad A Eloubeidi; Robert D Fanelli; Suryakanth R Gurudu; Mouen A Khashab; Jenifer R Lightdale; V Raman Muthusamy; Aasma Shaukat; Bashar J Qumseya; Amy Wang; Sachin B Wani; Julie Yang; John M DeWitt
Journal:  Gastrointest Endosc       Date:  2017-04-03       Impact factor: 9.427

3.  EUS-guided FNA and FNB after on-site cytological evaluation in gastric subepithelial tumors.

Authors:  Jae Pil Han; Tae Hee Lee; Su Jin Hong; Hee Kyung Kim; Hyung Min Noh; Yun Nah Lee; Hyun Jong Choi
Journal:  J Dig Dis       Date:  2016-09       Impact factor: 2.325

4.  Antithrombotic drugs are risk factors for delayed postoperative bleeding after endoscopic submucosal dissection for gastric neoplasms.

Authors:  Ryonho Koh; Kingo Hirasawa; Sei Yahara; Hiroyuki Oka; Kazuya Sugimori; Manabu Morimoto; Kazushi Numata; Atsushi Kokawa; Takeshi Sasaki; Akinori Nozawa; Masataka Taguri; Satoshi Morita; Shin Maeda; Katsuaki Tanaka
Journal:  Gastrointest Endosc       Date:  2013-04-25       Impact factor: 9.427

Review 5.  The effectiveness and safety of endoscopic submucosal dissection compared with endoscopic mucosal resection for early gastric cancer: a systematic review and metaanalysis.

Authors:  Young-Mi Park; Eun Cho; Hye-Young Kang; Jong-Mann Kim
Journal:  Surg Endosc       Date:  2011-03-18       Impact factor: 4.584

6.  Randomized trial comparing the 22-gauge aspiration and 22-gauge biopsy needles for EUS-guided sampling of solid pancreatic mass lesions.

Authors:  Ji Young Bang; Shantel Hebert-Magee; Jessica Trevino; Jayapal Ramesh; Shyam Varadarajulu
Journal:  Gastrointest Endosc       Date:  2012-05-31       Impact factor: 9.427

7.  Fine-needle tissue acquisition from subepithelial lesions using a forward-viewing linear echoendoscope.

Authors:  Alberto Larghi; Lorenzo Fuccio; Gaia Chiarello; Fabia Attili; Giuseppe Vanella; Giovanni Battista Paliani; Matteo Napoleone; Guido Rindi; Luigi Maria Larocca; Guido Costamagna; Riccardo Ricci
Journal:  Endoscopy       Date:  2013-11-11       Impact factor: 10.093

Review 8.  Management of gastrointestinal stromal tumors: from diagnosis to treatment.

Authors:  Pascal Bucher; Peter Villiger; Jean-François Egger; Leo H Buhler; Philippe Morel
Journal:  Swiss Med Wkly       Date:  2004-03-20       Impact factor: 2.193

9.  Therapeutic outcomes in 1000 cases of endoscopic submucosal dissection for early gastric neoplasms: Korean ESD Study Group multicenter study.

Authors:  Ii-Kwun Chung; Jun Haeng Lee; Suck-Ho Lee; Sun-Joo Kim; Joo Young Cho; Won Young Cho; Young Hwangbo; Bo Ra Keum; Jong Jae Park; Hoon-Jai Chun; Hoi Jin Kim; Jae J Kim; Sam-Ryong Ji; Sang Young Seol
Journal:  Gastrointest Endosc       Date:  2009-02-27       Impact factor: 9.427

10.  Feasibility and yield of a novel 22-gauge histology EUS needle in patients with pancreatic masses: a multicenter prospective cohort study.

Authors:  Alberto Larghi; Julio Iglesias-Garcia; Jan-Werner Poley; Geneviève Monges; Maria Chiara Petrone; Guido Rindi; Ihab Abdulkader; Paolo Giorgio Arcidiacono; Guido Costamagna; Katharina Biermann; Erwan Bories; Claudio Doglioni; J Enrique Dominguez-Muñoz; Cesare Hassan; Marco Bruno; Marc Giovannini
Journal:  Surg Endosc       Date:  2013-05-04       Impact factor: 4.584

View more
  7 in total

1.  Negligible procedure-related dissemination risk of mucosal incision-assisted biopsy for gastrointestinal stromal tumors versus endoscopic ultrasound-guided fine-needle aspiration/biopsy.

Authors:  Yosuke Minoda; Eikichi Ihara; Soichi Itaba; Yorinobu Sumida; Kazuhiro Haraguchi; Akira Aso; Takahiro Mizutani; Takashi Osoegawa; Mitsuru Esaki; Shuzaburo Nagatomo; Kei Nishioka; Kazumasa Muta; Xiaopeng Bai; Haruei Ogino; Nao Fujimori; Daisuke Tsurumaru; Kenoki Ohuchida; Hu Qingjiang; Eiji Oki; Hidetaka Yamamoto; Yoshihiro Ogawa
Journal:  Surg Endosc       Date:  2022-07-15       Impact factor: 3.453

2.  Mucosal incision-assisted biopsy versus endoscopic ultrasound-assisted tissue acquisition for subepithelial lesions: a systematic review and meta-analysis.

Authors:  Suprabhat Giri; Shivaraj Afzalpurkar; Sumaswi Angadi; Sridhar Sundaram
Journal:  Clin Endosc       Date:  2022-08-04

Review 3.  Advancements in the Diagnosis of Gastric Subepithelial Tumors.

Authors:  Osamu Goto; Mitsuru Kaise; Katsuhiko Iwakiri
Journal:  Gut Liver       Date:  2022-05-15       Impact factor: 4.519

4.  A Case of Myoepithelial Hamartoma: Morphological Variation Supported by OCT4 Expression.

Authors:  Takehiro Tanaka; Kenji Nishida; Masaya Iwamuro; Satoru Kikuchi; Tadashi Yoshino
Journal:  Case Rep Gastrointest Med       Date:  2021-02-26

Review 5.  The Diagnosis of Small Gastrointestinal Subepithelial Lesions by Endoscopic Ultrasound-Guided Fine Needle Aspiration and Biopsy.

Authors:  Masanari Sekine; Takeharu Asano; Hirosato Mashima
Journal:  Diagnostics (Basel)       Date:  2022-03-25

6.  Differentiating Gastrointestinal Stromal Tumors from Leiomyomas Using a Neural Network Trained on Endoscopic Ultrasonography Images.

Authors:  Gulseren Seven; Gokhan Silahtaroglu; Ozden Ozluk Seven; Hakan Senturk
Journal:  Dig Dis       Date:  2021-10-07       Impact factor: 3.421

7.  Efficacy of ultrasound endoscopy with artificial intelligence for the differential diagnosis of non-gastric gastrointestinal stromal tumors.

Authors:  Yosuke Minoda; Eikichi Ihara; Nao Fujimori; Shuzaburo Nagatomo; Mitsuru Esaki; Yoshitaka Hata; Xiaopeng Bai; Yoshimasa Tanaka; Haruei Ogino; Takatoshi Chinen; Qingjiang Hu; Eiji Oki; Hidetaka Yamamoto; Yoshihiro Ogawa
Journal:  Sci Rep       Date:  2022-10-05       Impact factor: 4.996

  7 in total

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