scholarly journals A suitable marking method to achieve lateral margin negative in endoscopic submucosal dissection for undifferentiated-type early gastric cancer

2019 ◽  
Vol 07 (02) ◽  
pp. E274-E281
Author(s):  
Shoichi Yoshimizu ◽  
Yorimasa Yamamoto ◽  
Yusuke Horiuchi ◽  
Toshiyuki Yoshio ◽  
Akiyoshi Ishiyama ◽  
...  

Abstract Background and study aims Delineating undifferentiated-type early gastric cancer (UD-type EGC) from noncancerous areas is difficult. Therefore, the lateral margin negative (LM−) resection rate of endoscopic submucosal dissection (ESD) is lower for UD-type EGC than for differentiated-type EGC. This study aimed to retrospectively evaluate the effectiveness of the marking methods with circumferential biopsies in ESD for UD-type EGC. Patients and methods We analyzed the clinical outcomes of ESD in 127 patients with UD-type EGC between April 2013 and 2017. We performed diagnostic delineation of cancerous areas using magnifying endoscopy with narrow-band imaging, and four or more circumferential biopsies approximately 5 mm apart from the estimated lesion border were obtained to confirm noncancerous areas. The markings were placed on the circumferential biopsy scars, and a mucosal incision line was made outside the markings. Results Median size of the tumors and ESD specimens was 12 and 35 mm, respectively. En-bloc resection rate was 100 % (127/127), and LM− and curative resection rates were 97.6 % (124/127) and 80.3 % (102/127), respectively. Circumferential biopsy in preoperative esophagogastroduodenoscopy has successfully identified the misdiagnosis of cancerous areas of four patients (3.2 %), with three (2.4%) achieving LM− resection. LM + resection was pathologically identified in three patients (2.4 %), with all undergoing non-curative resection due to > 20-mm tumor. The proportion of patients with the shortest distance ≥ 5 mm from the lesion edge to the specimen edge was 88.2 % (112/127). Conclusion Our marking methods with circumferential biopsies may reduce LM + resections in ESD for UD-type EGC.

2013 ◽  
Vol 61 (4) ◽  
pp. 196 ◽  
Author(s):  
Moon Han Choi ◽  
Su Jin Hong ◽  
Jae Pil Han ◽  
Jeong-Yeop Song ◽  
Dae Yong Kim ◽  
...  

2019 ◽  
Vol 07 (04) ◽  
pp. E421-E430 ◽  
Author(s):  
Uayporn Kaosombatwattana ◽  
Takeshi Yamamura ◽  
Julajak Limsrivilai ◽  
Masanao Nakamura ◽  
Somchai Leelakusolvong ◽  
...  

Abstract Background and study aims Endoscopic submucosal dissection (ESD) enables en bloc removal of colorectal neoplasms regardless of size. Submucosal fibrosis is a significant factor for technical difficulty and poor outcomes. We assessed the predictive factors for severe submucosal fibrosis and the ESD outcomes. Patients and methods Patients undergoing ESD from January 2006 to September 2017 were retrospectively reviewed. The degree of submucosal fibrosis was classified into three types: no fibrosis (F0), mild fibrosis (F1), and severe fibrosis (F2). F0 and F1 cases were grouped as non-severe fibrosis for comparison with the severe fibrosis group. Predictors of severe submucosal fibrosis and ESD outcomes were evaluated. Results ESD was performed in 524 lesions (60 % male; mean age, 67.8 years). Eighty lesions with severe fibrosis (15.3 %) were observed. The overall en bloc resection rate and curative resection rate were 94.3 % and 77.7 %, respectively. Rates of en bloc resection (91.2 % vs. 94.8 %, P = 0.2) and perforation (7.5 % vs. 5.6 %, P = 0.45) were no different between severe fibrosis and non-severe fibrosis groups. However, incidences of non-curative resection and low resection speed were significantly higher in the severe fibrosis group. Among protruding lesions, tumor height and volume were significantly greater in the severe counterparts. A diameter ≥ 40 mm, endoscopic finding of the tumor beyond fold, and fold convergence were independent risk factors for severe fibrosis. Conclusions Severe submucosal fibrosis is a significant risk factor for non-curative resection and a long procedural time. Tumor size and morphology might help to predict the severity of fibrosis.


2015 ◽  
Vol 8 (5) ◽  
pp. 255-262 ◽  
Author(s):  
Yasuhiro Inokuchi ◽  
Maki Kobayashi ◽  
Kana Kudo ◽  
Hiroaki Yamada ◽  
Shuntaro Inoue ◽  
...  

2022 ◽  
Author(s):  
Cheol Woong Choi ◽  
Su Jin Kim ◽  
Dae Gon Ryu ◽  
Dae Hwan Kang ◽  
Hyung Wook Kim ◽  
...  

Abstract Background: Endoscopic submucosal dissection (ESD) is considered the treatment of choice for early gastric cancer (EGC) with a negligible risk of lymph node metastasis. However, locally recurrent lesions on artificial ulcer scars are difficult to manage. Therefore, predicting the risk of local recurrence after ESD is important to manage and prevent the event. This study aimed to elucidate risk factors associated with local recurrence after ESD of EGC.Methods: Between November 2008 and February 2016, consecutive patients (n=641; mean age, 69.3±9.5 years; men, 77.2%) with EGC who underwent ESD at a single tertiary referral hospital were retrospectively analyzed to evaluate the incidence and factors associated with local recurrence. Local recurrence was defined as the development of neoplastic lesions at or adjacent to the site of the post-ESD scar.Results: En bloc and complete resection rates were 97.8% and 93.6%, respectively. The local recurrence rate after ESD was 3.1%. The mean follow-up period after ESD was 50.7±32.5 months. One case of gastric cancer-related death (0.15%) was noted, wherein the patient had refused additive surgical resection after ESD for EGC with lymphatic and deep submucosal invasion. Lesion size ≥15 mm, incomplete histologic resection, undifferentiated adenocarcinoma, scar, and absence of erythema of the surface were associated with a higher risk of local recurrence. Conclusions: Predicting local recurrence during regular endoscopic surveillance after ESD is important, especially in patients with a larger lesion size (≥15 mm), incomplete histologic resection, surface changes of scars, and no erythema of the surface.


2019 ◽  
Vol 23 (2) ◽  
pp. 285-292 ◽  
Author(s):  
Yusuke Horiuchi ◽  
Satoshi Ida ◽  
Noriko Yamamoto ◽  
Souya Nunobe ◽  
Naoki Ishizuka ◽  
...  

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