Long- vs short-segment Barrett's esophagus-derived adenocarcinoma: clinical features and outcomes of endoscopic submucosal dissection.

BACKGROUND: The incidence of Barrett's esophageal adenocarcinoma (BEA) is increasing, and endoscopic submucosal dissection (ESD) has been frequently performed for its treatment. However, the differences between the characteristics and ESD outcomes between short- and long-segment BEA (SSBEA and LSBEA, respectively) are unclear. We compared the clinicopathological characteristics and short- and long-term outcomes of ESD between both groups. METHODS: We retrospectively reviewed 155 superficial BEAs (106 SSBEAs and 49 LSBEAs) treated with ESD in 139 patients and examined their clinicopathological features and ESD outcomes. SSBEA and LSBEA were classified based on whether the maximum length of the background mucosa of BEA was < 3 cm or ≥ 3 cm, respectively. RESULTS: Compared with SSBEA, LSBEA showed significantly higher proportions of cases with the macroscopically flat type (36.7% vs. 5.7%, p < 0.001), left wall location (38.8% vs. 11.3%, p < 0.001), over half of the tumor circumference (20.4% vs. 1.9%, p < 0.001), and synchronous lesions (17.6% vs. 0%, p < 0.001). Compared with SSBEA, regarding ESD outcomes, LSBEA showed significantly longer resection duration (91.0 min vs. 60.5 min, p < 0.001); a lower proportion of submucosal invasion (14.3% vs. 29.2%, p = 0.047), horizontal margin negativity (79.6% vs. 94.3%, p = 0.0089), and R0 resection (69.4% vs. 86.8%, p = 0.024); and a higher proportion of post-procedural stenosis cases (10.9% vs. 1.9%, p = 0.027). The 5-year cumulative incidence of metachronous cancer in patients without additional treatment was significantly higher for LSBEA than for SSBEA (25.0% vs. 0%, p < 0.001). CONCLUSIONS: The clinicopathological features of LSBEA and SSBEA and their treatment outcomes differed in many aspects. As LSBEAs are difficult to diagnose and treat and show a high risk of metachronous cancer development, careful ESD and follow-up or eradication of the remaining BE may be required.

Risk stratification for synchronous/metachronous recurrence after endoscopic submucosal dissection for Barrett's esophageal adenocarcinoma using the length of Barrett's esophagus.

BACKGROUND: In Japan, the standard management of Barrett's esophageal adenocarcinoma after endoscopic submucosal dissection involves follow-up; however, multifocal synchronous/metachronous lesions are sometimes observed after endoscopic submucosal dissection. Risk stratification of multifocal cancer facilitates appropriate treatment, including eradication of Barrett's esophagus in high-risk cases; however, no effective risk stratification methods have been established. Thus, we identified the risk factors for multifocal cancer and explored risk-stratified treatment strategies for residual Barrett's esophagus. METHODS: We retrospectively reviewed the data of 97 consecutive patients with superficial Barrett's esophageal adenocarcinomas who underwent curative resection with endoscopic submucosal dissection. Multifocal cancer was defined by the presence of synchronous/metachronous lesions during follow-up. We used Cox regression analysis to identify the risk factors for multifocal cancer and subsequently analyzed differences in cumulative incidences. RESULTS: The cumulative incidences of multifocal cancer at 1, 3, and 5 years were 4.4%, 8.6%, and 10.7%, respectively. Significant risk factors for multifocal cancer were increased circumferential and maximal lengths of Barrett's esophagus. The cumulative incidences of multifocal cancer at 3 years were lower for patients with circumferential length < 4 cm and maximal length < 5 cm (2.9% and 1.2%, respectively) than for patients with circumferential length ≥ 4 cm and maximal length ≥ 5 cm (51.5% and 49.1%, respectively). CONCLUSIONS: Risk stratification of multifocal cancer using length of Barrett's esophagus was effective. Further multicenter prospective studies are needed to substantiate our findings.

A simpler diagnostic algorithm of the Japan Esophageal Society classification for Barrett's esophagus-related superficial neoplasia.

BACKGROUND: We previously developed a Japan Esophageal Society Barrett's Esophagus (JES-BE) magnifying endoscopic classification for superficial BE-related neoplasms (BERN) and validated it in a nationwide multicenter study that followed a diagnostic flow chart based on mucosal and vascular patterns (MP, VP) with nine diagnostic criteria. Our present post hoc analysis aims to further simplify the diagnostic criteria for superficial BERN. METHODS: We used data from our previous study, including 10 reviewers' assessments for 156 images of high-magnifying narrow-band imaging (HM-NBI) (67 dysplastic and 89 non-dysplastic histology). We statistically analyzed the diagnostic performance of each diagnostic criterion of MP (form, size, arrangement, density, and white zone), VP (form, caliber change, location, and greenish thick vessels [GTV]), and all their combinations to achieve a simpler diagnostic algorithm to detect superficial BERN. RESULTS: Diagnostic accuracy values based on the MP of each single criterion or combined criteria showed a marked trend of being higher than those based on VP. In reviewers' assessments of visible MPs, the combination of irregularity for form, size, or white zone had the highest diagnostic performance, with a sensitivity of 87% and a specificity of 91% for dysplastic histology; in the assessments of invisible MPs, GTV had the highest diagnostic performance among the VP of each single criterion and all combinations of two or more criteria (sensitivity, 93%; specificity, 92%). CONCLUSION: The present post hoc analysis suggests the feasibility of further simplifying the diagnostic algorithm of the JES-BE classification. Further studies in a practical setting are required to validate these results.

Factors Related to Difficulty in Endoscopic Submucosal Dissection for Superficial Esophageal Cancer.

BACKGROUND: Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is technically challenging, and research on predictive factors related to the difficulty in the procedure is limited. This study aimed to investigate the factors predicting the difficulty in esophageal ESD. METHODS: This retrospective study analyzed 303 lesions treated at our institution between April 2005 and June 2021. The following 13 factors were evaluated: sex, age, tumor location, tumor localization, macroscopic type, tumor size, tumor circumference, preoperative diagnosis of histological type, preoperative diagnosis of invasion depth, previous radiotherapy for esophageal cancer, metachronous lesion located close to post-ESD scar, operator's skill, and use of a clip-and-thread traction method. Difficult esophageal ESD cases were defined as those requiring long procedure time (>120 min). RESULTS: Fifty-one lesions (16.8%) met the defined criterion for difficult cases of esophageal ESD. Logistic regression analysis identified tumor size larger than 30 mm (odds ratio: 9.17, 95% confidence interval: 4.27-19.69, p < 0.001) and tumor circumference more than half that of the esophagus (odds ratio 2.53, 95% confidence interval: 1.15-5.54, p = 0.021) as independent predictive factors related to difficulty in esophageal ESD. CONCLUSION: Tumor size larger than 30 mm and tumor circumference more than half that of the esophagus can predict difficulty in performing esophageal ESD. This knowledge can provide useful information for developing ESD strategies and selecting a suitable operator on a case-by-case basis to achieve favorable clinical outcomes.

Prediction of the invasion depth of superficial nonampullary duodenal adenocarcinoma.

OBJECTIVES: Distinguishing between intramucosal cancer and submucosal invasive cancer is vital for optimal treatment selection for patients with superficial nonampullary duodenal adenocarcinoma (SNADAC); however, standard diagnostic systems for diagnosing invasion depth are as yet undetermined. METHODS: Of 205 patients with SNADAC who underwent treatment at our institution between 2006 and 2022, 188 had intramucosal cancer and 17 had submucosal invasive cancer. The clinical, endoscopic, and pathological features used in the preoperative diagnosis of invasion depth and the diagnostic performance of endoscopic ultrasonography (EUS) were retrospectively analyzed in 85 patients. RESULTS: The oral side of the papilla tumor location, protruded or mixed macroscopic type, and moderately-to-poorly differentiated adenocarcinoma based on biopsy specimens were significantly more frequent in submucosal invasive cancer than in intramucosal cancer (88% vs. 48%; 94% vs. 42%; 47% vs. 0%, respectively). From the relationship between the endoscopic features and the submucosal invasive cancer incidence, submucosal invasion risk was stratified as: (i) low-risk (risk, 2%), all lesions located on the anal side of the papilla and superficial macroscopic type on the oral side of the papilla; and (ii) high-risk (risk, 23%), protruded or mixed macroscopic type on the oral side of the papilla. Based on the biopsy specimens, all eight patients with moderately-to-poorly differentiated adenocarcinoma had submucosal invasive cancer. Furthermore, EUS was not associated with invasion depth's diagnostic accuracy improvements. CONCLUSION: Optimal treatment indications for SNADAC can be selected based on the risk factors of submucosal invasion by tumor location, macroscopic type, and biopsy diagnosis.

Usefulness of magnifying endoscopy with acetic acid and narrow-band imaging for the diagnosis of duodenal neoplasms: proposal of a diagnostic algorithm.

BACKGROUND: This study aimed to clarify the features of superficial non-ampullary duodenal epithelial tumors (SNADETs) on magnifying endoscopy with narrow-band imaging (M-NBI) and magnifying endoscopy with acetic acid and narrow-band imaging (M-AANBI), and evaluate the efficacy of M-NBI/M-AANBI to distinguish high-grade adenomas or adenocarcinomas (HGA/AC) from low-grade adenomas (LGA). METHODS: Clinicopathological data on 62 SNADETs in 58 patients who underwent preoperative M-NBI/M-AANBI and endoscopic resection were retrospectively reviewed. The pathological results were classified into two categories, LGA and HGA/AC. We evaluated microvascular patterns (MVPs) and microsurface patterns (MSPs) observed by M-NBI and MSPs observed by M-AANBI for characterizing LGA and HGA/AC. The kappa value was calculated to assess the interobserver and intraobserver agreements of evaluation of M-AANBI images. RESULTS: Pathologically, 38 lesions (61.3%) were LGA and 24 lesions (38.7%) were HGA/AC. HGA/AC tended to have irregular MVP and/or MSP on M-NBI. M-NBI diagnostic performance to distinguish HGA/AC from LGA showed 62.5% sensitivity, 68.4% specificity, and 66.1% accuracy. SNADETs had irregular MSP on M-AANBI. Three irregularity grades (iG) of MSP were observed by M-AANBI as follows: iG1, mild; iG2, moderate; iG3, significant. HGA/AC lesions had a significantly higher rate of iG3 than LGA lesions (p < 0.001). The iG2 was associated with HGA/AC in elevated lesions and LGA in depressed lesions. The diagnostic performance of M-AANBI was as follows: 95.8% sensitivity, 97.4% specificity, and 96.8% accuracy. The diagnostic accuracy of M-AANBI was significantly higher than that of M-NBI (p < 0.001). The kappa value for interobserver agreement on the diagnosis and irregularity grading of M-AANBI images was 0.742 and 0.719, respectively. These data indicate substantial interobserver agreement. Based on the above-mentioned results, we developed a M-AANBI diagnostic algorithm for SNADETs. CONCLUSION: The diagnostic algorithm for SNADETs using M-AANBI may be useful for differentiating between LGA and HGA/AC.

Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma.

BACKGROUND: It is known that an esophagus with multiple Lugol-voiding lesions (LVLs) after iodine staining is high risk for esophageal cancer; however, it is preferable to identify high-risk cases without staining because iodine causes discomfort and prolongs examination times. This study assessed the capability of an artificial intelligence (AI) system to predict multiple LVLs from images that had not been stained with iodine as well as patients at high risk for esophageal cancer. METHODS: We constructed the AI system by preparing a training set of 6634 images from white-light and narrow-band imaging in 595 patients before they underwent endoscopic examination with iodine staining. Diagnostic performance was evaluated on an independent validation dataset (667 images from 72 patients) and compared with that of 10 experienced endoscopists. RESULTS: The sensitivity, specificity, and accuracy of the AI system to predict multiple LVLs were 84.4 %, 70.0 %, and 76.4 %, respectively, compared with 46.9 %, 77.5 %, and 63.9 %, respectively, for the endoscopists. The AI system had significantly higher sensitivity than 9/10 experienced endoscopists. We also identified six endoscopic findings that were significantly more frequent in patients with multiple LVLs; however, the AI system had greater sensitivity than these findings for the prediction of multiple LVLs. Moreover, patients with AI-predicted multiple LVLs had significantly more cancers in the esophagus and head and neck than patients without predicted multiple LVLs. CONCLUSION: The AI system could predict multiple LVLs with high sensitivity from images without iodine staining. The system could enable endoscopists to apply iodine staining more judiciously.

Diagnostic performance in gastric cancer is higher using endocytoscopy with narrow-band imaging than using magnifying endoscopy with narrow-band imaging.

BACKGROUND: For diagnosing gastric cancer, differences in the diagnostic performance between endocytoscopy with narrow-band imaging and magnifying endoscopy with narrow-band imaging have not been reported. We aimed to clarify these differences by analyzing diagnoses made by endoscopists in Japan. METHODS: This single-center retrospective cohort study used 106 cancerous and 106 non-cancerous images obtained via both modalities (total, 424 images) for diagnosis. Sixty-one endoscopists with varying experience levels from 45 institutions were included. Diagnostic accuracy, sensitivity, specificity, and positive and negative predictive values were evaluated to determine the diagnostic performance of each modality and compared using the Mann-Whitney U test. RESULTS: Among all endoscopists, diagnostic accuracy, sensitivity, positive predictive value, and negative predictive value were higher with endocytoscopy with narrow-band imaging than with magnifying endoscopy with narrow-band imaging (percentage [95% confidence interval]: 78.8% [76.4-83.0%] versus 72.2% [69.3-73.6%], p < 0.0001; 82.1% [78.3-85.9%] versus 64.2% [60.4-69.8%], p < 0.0001; 88.7% [82.6-90.7%] versus 78.5% [75.4-85.1%], p = 0.0023; 79.0% [75.3-80.5%] versus 68.5% [66.4-71.6%], p < 0.0001, respectively). In the magnifying endoscopy with narrow-band imaging-trained group, these values were also higher with endocytoscopy with narrow-band imaging than with magnifying endoscopy with narrow-band imaging (p < 0.0001, p = 0.0001, p = 0.0143, and p < 0.0001, respectively). Diagnostic accuracy, sensitivity, and negative predictive value were higher with endocytoscopy with narrow-band imaging than with magnifying endoscopy with narrow-band imaging in the magnifying endoscopy with narrow-band imaging-untrained group (p = 0.0041, p = 0.0049, and p = 0.0098, respectively). CONCLUSIONS: Diagnostic performance was higher using endocytoscopy with narrow-band imaging than using magnifying endoscopy with narrow-band imaging. Our results may help change the technique used to diagnose gastric cancer.

Clinical utility of the pocket-creation method with a traction device for colorectal endoscopic submucosal dissection.

BACKGROUND: Colorectal endoscopic submucosal dissection (ESD) is technically demanding while ensuring safety, especially in cases with fibrosis and/or poor maneuverability. To overcome such difficulties, we developed a novel method called the pocket-creation method with a traction device (PCM with TD). We then evaluated the effectiveness and safety of PCM with TD in colorectal ESD compared to other conventional methods. METHODS: In total, 324 colorectal lesions treated with ESD from July 2018 to June 2019 were included. The following three treatment strategies were used: conventional ESD (CE), CE with TD, and PCM with TD. Patient backgrounds and treatment outcomes were retrospectively compared and analyzed. RESULTS: As ESD methods, CE, CE with TD, and PCM with TD account for 58% (187/324), 24% (78/324), and 18% (59/324), respectively. No significant difference was observed among the three groups in en bloc and R0 resection rates or adverse events. The rate of lesions with fibrosis and poor maneuverability was significantly higher in the PCM with TD group (CE group vs CE with TD group vs PCM with TD group: fibrosis, 24% vs 47% vs 64%, p < 0.001; poor maneuverability, 5.3% vs 13% vs 20%, p = 0.002). Dissection speed was significantly higher in the PCM with TD than in the CE with TD group (p = 0.003). CONCLUSIONS: PCM with TD can achieve a stable en bloc resection rate and R0 dissection rate without adverse events even in the hands of trainees, irrespective of the size and location of the lesion, presence of fibrosis, and under poor maneuverability conditions.

Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer.

Image recognition using artificial intelligence (AI) has progressed significantly due to innovative technologies such as machine learning and deep learning. In the field of gastric cancer (GC) management, research on AI-based diagnosis such as anatomical classification of endoscopic images, diagnosis of Helicobacter pylori infection, and detection and qualitative diagnosis of GC is being conducted, and an accuracy equivalent to that of physicians has been reported. It is expected that AI will soon be introduced in the field of endoscopic diagnosis and management of gastric cancer as a supportive tool for physicians, thus improving the quality of medical care.

Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists.

OBJECTIVES: Detecting early gastric cancer is difficult, and it may even be overlooked by experienced endoscopists. Recently, artificial intelligence based on deep learning through convolutional neural networks (CNNs) has enabled significant advancements in the field of gastroenterology. However, it remains unclear whether a CNN can outperform endoscopists. In this study, we evaluated whether the performance of a CNN in detecting early gastric cancer is better than that of endoscopists. METHODS: The CNN was constructed using 13,584 endoscopic images from 2639 lesions of gastric cancer. Subsequently, its diagnostic ability was compared to that of 67 endoscopists using an independent test dataset (2940 images from 140 cases). RESULTS: The average diagnostic time for analyzing 2940 test endoscopic images by the CNN and endoscopists were 45.5 ± 1.8 s and 173.0 ± 66.0 min, respectively. The sensitivity, specificity, and positive and negative predictive values for the CNN were 58.4%, 87.3%, 26.0%, and 96.5%, respectively. These values for the 67 endoscopists were 31.9%, 97.2%, 46.2%, and 94.9%, respectively. The CNN had a significantly higher sensitivity than the endoscopists (by 26.5%; 95% confidence interval, 14.9-32.5%). CONCLUSION: The CNN detected more early gastric cancer cases in a shorter time than the endoscopists. The CNN needs further training to achieve higher diagnostic accuracy. However, a diagnostic support tool for gastric cancer using a CNN will be realized in the near future.

Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems.

BACKGROUND: We previously reported for the first time the usefulness of artificial intelligence (AI) systems in detecting gastric cancers. However, the "original convolutional neural network (O-CNN)" employed in the previous study had a relatively low positive predictive value (PPV). Therefore, we aimed to develop an advanced AI-based diagnostic system and evaluate its applicability for the classification of gastric cancers and gastric ulcers. METHODS: We constructed an "advanced CNN" (A-CNN) by adding a new training dataset (4453 gastric ulcer images from 1172 lesions) to the O-CNN, which had been trained using 13 584 gastric cancer and 373 gastric ulcer images. The diagnostic performance of the A-CNN in terms of classifying gastric cancers and ulcers was retrospectively evaluated using an independent validation dataset (739 images from 100 early gastric cancers and 720 images from 120 gastric ulcers) and compared with that of the O-CNN by estimating the overall classification accuracy. RESULTS: The sensitivity, specificity, and PPV of the A-CNN in classifying gastric cancer at the lesion level were 99.0 % (95 % confidence interval [CI] 94.6 %-100 %), 93.3 % (95 %CI 87.3 %-97.1 %), and 92.5 % (95 %CI 85.8 %-96.7 %), respectively, and for classifying gastric ulcers were 93.3 % (95 %CI 87.3 %-97.1 %), 99.0 % (95 %CI 94.6 %-100 %), and 99.1 % (95 %CI 95.2 %-100 %), respectively. At the lesion level, the overall accuracies of the O- and A-CNN for classifying gastric cancers and gastric ulcers were 45.9 % (gastric cancers 100 %, gastric ulcers 0.8 %) and 95.9 % (gastric cancers 99.0 %, gastric ulcers 93.3 %), respectively. CONCLUSION: The newly developed AI-based diagnostic system can effectively classify gastric cancers and gastric ulcers.

[Endoscopic Diagnosis Using Artificial Intelligence].

Image recognition using artificial intelligence(AI)has developed dramatically with innovative technologies such as machine learning and deep learning. Currently, it is considered that AI has exceeded human ability in image recognition. In the field of endoscopic diagnosis, development of computer-aided diagnosis(CAD)systems using AI is progressing. The CAD is expected to help endoscopists improve detection and characterization of polyp, cancer, and inflamation in all digestive area. Some CAD systemes showing ability better than endoscopists have been reported. It may be well applicable to daily clinical practice as real time endoscopic diagnosis in the near future.

Endoscopic submucosal dissection for superficial esophageal cancer in a diverticulum: A case report with literature review.

Superficial esophageal cancer (SEC) in a diverticulum is rare and has a high risk of perforation during endoscopic resection. Although endoscopic submucosal dissection (ESD) is a standard treatment option, it is challenging to perform. Here, we describe the case of a 79-year-old male patient with a history of ESD for SEC. Surveillance esophagogastroduodenoscopy identified a 20-mm-sized reddish depressed lesion in a diverticulum in the middle esophagus. The lesion was confirmed to be squamous cell carcinoma by biopsy. Magnification endoscopy with narrow-band imaging showed intraepithelial papillary capillary loops of type B1 according to the magnified endoscopic classification of the Japan Esophageal Society. Endoscopic ultrasonography revealed the presence of the muscular layer of the esophagus wall in the diverticulum. Therefore, the lesion was diagnosed as SEC, confined to the epithelium or lamina propria mucosae, in a Rokitansky diverticulum. Based on these findings, ESD was considered technically feasible. Traction-assisted ESD using clip with line was performed, and en bloc resection was achieved without adverse events. The resected specimen pathologically revealed a squamous cell carcinoma confined to the lamina propria mucosae without lymphovascular invasion, suggesting a curative resection. The patient recovered well, and no recurrence has been observed for 5 years after the ESD. Whether ESD is appropriate for the treatment of SEC in a diverticulum remains unclear. However, our case shows that it can be a treatment option in such cases due to its minimal invasiveness and good effectiveness.

The Diagnosis of Esophageal Tuberculosis through an Endoscopic Ultrasound-guided Fine-needle Aspiration Biopsy.

A 54-year-old woman presented with an elevated esophageal lesion. Computed tomography (CT) and magnetic resonance imaging revealed a mass in the pancreatic head. Endoscopic ultrasound (EUS) showed a well-defined, round, hypoechoic mass, which was considered lymph node enlargement. An EUS-guided fine-needle aspiration biopsy (FNAB) was performed on the esophagus and the mass above the pancreatic head. The pathologically confirmed epithelial cells and multinucleated giant cells were positive for T-SPOT. Clinically, tuberculous lymphadenitis and esophageal tuberculosis were suspected, with successful treatment with anti-tuberculosis therapy resulting in a good response. Our findings suggest that an EUS-FNAB is useful for diagnosing esophageal tuberculosis.

Risk Factors Associated with Painful Colonoscopy and Prolonged Cecal Intubation Time in Female Patients.

Objectives: Few studies have examined risk factors leading to painful colonoscopy and prolonged cecal intubation time in female patients. We aimed to determine the factors associated with painful colonoscopy and prolonged cecal intubation time in female patients. Methods: This retrospective study analyzed prospectively collected data from a randomized controlled trial with female patients who underwent colonoscopy. Multivariate logistic and linear regression analyses were performed using the following factors that might be associated with painful colonoscopy and prolonged cecal intubation time, respectively: age, body mass index, history of colonoscopy, previous abdominal surgery, routine use of laxatives, inadequate bowel preparation, sigmoid colon diverticulosis, use of a small-caliber colonoscope, and an inexperienced operator. Results: The study enrolled 219 female patients aged >20 years. Using the receiver operating characteristic curve, painful colonoscopy was defined in cases where the visual analogue scale of overall pain was ≥50 mm. Logistic regression analysis for risk factors associated with painful colonoscopy revealed that sigmoid colon diverticulosis [odds ratio (OR), 2.496; 95% confidence interval (CI), 1.013-5.646; p=0.028] was a risk factor for painful colonoscopy; conversely, the use of a small-caliber colonoscope was a negative factor for painful colonoscopy (OR, 0.436; 95% CI, 0.214-0.889, p=0.022). In linear regression analysis, inadequate bowel preparation was significantly associated with prolonged cecal intubation time (ß-coefficient, 3.583; 95% confidence interval, 0.578-6.588; p=0.020). Conclusions: Female patients with sigmoid colon diverticulosis are more likely to experience severe pain during colonoscopy, and those with inadequate bowel preparation may require more time for cecal intubation.