Gastric Emptying is Accelerated in Patients With Gastric Tube Reconstruction Following Laparoscopic Proximal Gastrectomy.

BACKGROUND: Laparoscopic proximal gastrectomy (LPG) is an attractive option for the treatment of early gastric cancer in the upper third of the stomach. No optimal method of reconstruction after LPG has been established because of problems associated with postoperative reflux. Gastric tube reconstruction, a type of esophagogastrostomy, is a simple procedure, but it is associated with a high frequency of reflux esophagitis (RE). We investigated the relationship between RE and gastric emptying, along with nutritional parameters. SUBJECTS AND METHODS: We compared gastric emptying in patients who had undergone curative LPG with gastric tube reconstruction for gastric cancer with that of patients after total gastrectomy (TG), distal gastrectomy (DG) and of healthy volunteers and patients after DG. The LPG group was divided into an RE LPG-RE (+) group and a non-reflux esophagitis (non-RE) an LPG-RE (-) group, and we compared gastric emptying and indices of nutrition, such as body weight and laboratory findings, between those among LPG-RE (+), LPG-RE (-), and TG groups. RESULTS: The time lag between ingestion and peak 13 CO 2 expiration (T lag) in the healthy volunteer group was significantly shorter in the LPG group longer than those in the healthy volunteer LPG group and TG group. The T lag was significantly shorter in the RE LPG-RE (+) group than in the non-RE LPG-RE (-) group. The percentage change in body weight percentage in the non-RE LPG-RE (-) group was significantly larger than that in the RE LPG-RE (+) group at 12 months after surgery. Both the serum albumin and hemoglobin levels in the non-RE LPG-RE (-) tended to be preserved compared with those in the RE LPG-RE (+) group and TG group. CONCLUSIONS: Gastric emptying was accelerated after LPG, and was associated with RE. Our data suggest that RE could be associated with body weight loss after LPG.

Endocytoscopic Observation of Esophageal Lesions: Our Own Experience and a Review of the Literature.

This review outlines the process of the development of the endocytoscope (EC) with reference to previously reported studies including our own. The EC is an ultra-high-magnification endoscope capable of imaging at the cellular level. The esophagus is the most suitable site for EC observation because it is amenable to vital staining. The diagnosis of esophageal lesions using EC is based on nuclear density and nuclear abnormality, allowing biopsy histology to be omitted. The observation of nuclear abnormality requires a magnification of ×600 or higher using digital technology. Several staining methods have been proposed, but single staining with toluidine blue or methylene blue is most suitable because the contrast at the border of a cancerous area can be easily identified. A three-tier classification of esophageal lesions visualized by EC is proposed: Type 1 (non-cancerous), Type 2 (endocytoscopic borderline), and Type 3 (cancerous). Since characteristic EC images reflecting pathology can be obtained from non-cancerous esophageal lesions, a modified form of classification with four additional characteristic non-cancerous EC features has also been proposed. Recently, deep-learning AI for analysis of esophageal EC images has revealed that its diagnostic accuracy is comparable to that of expert pathologists.

AI analysis and modified type classification for endocytoscopic observation of esophageal lesions.

Endocytoscopy (EC) facilitates real-time histological diagnosis of esophageal lesions in vivo. We developed a deep-learning artificial intelligence (AI) system for analysis of EC images and compared its diagnostic ability with that of an expert pathologist and nonexpert endoscopists. Our new AI was based on a vision transformer model (DeiT) and trained using 7983 EC images of the esophagus (2368 malignant and 5615 nonmalignant). The AI evaluated 114 randomly arranged EC pictures (33 ESCC and 81 nonmalignant lesions) from 38 consecutive cases. An expert pathologist and two nonexpert endoscopists also analyzed the same image set according to the modified type classification (adding four EC features of nonmalignant lesions to our previous classification). The area under the curve calculated from the receiver-operating characteristic curve for the AI analysis was 0.92. In per-image analysis, the overall accuracy of the AI, pathologist, and two endoscopists was 91.2%, 91.2%, 85.9%, and 83.3%, respectively. The kappa value between the pathologist and the AI, and between the two endoscopists and the AI showed moderate concordance; that between the pathologist and the two endoscopists showed poor concordance. In per-patient analysis, the overall accuracy of the AI, pathologist, and two endoscopists was 94.7%, 92.1%, 86.8%, and 89.5%, respectively. The modified type classification aided high overall diagnostic accuracy by the pathologist and nonexpert endoscopists. The diagnostic ability of the AI was equal or superior to that of the experienced pathologist. AI is expected to support endoscopists in diagnosing esophageal lesions based on EC images.

The evaluation of the gastric tube blood flow by indocyanine green fluorescence angiography during esophagectomy: a multicenter prospective study.

OBJECTIVE: We determined the anastomotic site during gastric tube reconstruction in esophagectomy according to the "90-to 60-s rule" using indocyanine green (ICG) fluorescence angiography. We evaluated its safety and efficacy in a prospective multicenter setting. METHODS: We enrolled 129 patients who underwent subtotal esophagectomy for esophageal cancer. ICG fluorescence angiography was performed after making a wide gastric tube, and the time from the initial enhancement of the right gastroepiploic artery to the tip of the gastric tube was used as a parameter. Esophago-gastro anastomosis was made at the area that was enhanced within 90 s (preferably within 60 s). The enhancement time and the incidence of anastomotic leakage were compared. RESULTS: In all cases, anastomosis was made at the site enhanced within 90 s. Anastomotic leakage was found in only 4 (3.1%) of 129 cases; specifically, it was detected in 3 (2.4%) of 126 cases whose anastomotic site was enhanced within 60 s and in 1 (33.3%) of 3 cases where the enhancement time exceeded 60 s (p = 0.09). CONCLUSIONS: Determining the anastomotic site using the 90-to 60-s rule with ICG imaging in gastric tube reconstruction helps reduce the rate of anastomotic leakage.

Clinical outcomes of gastric tube reconstruction following laparoscopic proximal gastrectomy for early gastric cancer in the upper third of the stomach: experience with 100 consecutive cases.

BACKGROUND: Gastric tube reconstruction is a form of esophagogastrostomy performed after laparoscopic proximal gastrectomy (LPG). It is a simple and safe technique, but it may cause reflux esophagitis (RE) and impair postsurgical QOL. For several years, we have developed the gastric tube reconstruction and performed it on more than 100 patients. This study aimed to determine whether gastric tube reconstruction can be a feasible choice after LPG in regard to surgical safety and postoperative nutritional status. METHODS: The subjects consisted of 171 patients who underwent LPG (n = 102) or laparoscopic total gastrectomy (LTG) (n = 69). We compared the two groups in terms of surgical outcomes, incidence rate of RE, and nutritional status including postoperative weight loss and hemoglobin levels. RESULTS: There were no significant differences with regard to the surgical duration and blood loss between the two groups. The incidence of RE was not significantly higher with LPG than with LTG (16.7% vs. 10.1%, respectively; P = 0.07). Later than 2 years and 6 months after surgery, the body weight percentage of preoperative body weight in the LPG group was significantly higher than that in the LTG group. Hemoglobin and ferritin levels in the LPG group were significantly higher than those in the LTG group, later than one after surgery. The overall survival rates were similar between the two groups (5-year survival rates: 97.1% vs. 94.2% in the LPG and LTG groups, respectively; P = 0.69). CONCLUSIONS: Gastric tube reconstruction after LPG is simple and had better outcomes than LTG in terms of postoperative nutritional status.

Endocytoscopic observation with methylene blue staining for duodenal neoplasms associated with familial adenomatous polyposis.

Duodenal cancer is a leading cause of death after colectomy in patients with familial adenomatous polyposis (FAP). Detailed endoscopic evaluation of duodenal lesions with potential for carcinoma development is therefore mandatory. Here we investigated the features of duodenal lesions in FAP patients using an endocytoscopy system (ECS). We retrospectively reviewed duodenal lesions in 15 cases of FAP using an ECS (GIF-H290EC) with methylene blue (MB) as the vital dye. With reference to the Spigelman classification, we investigated the number of lesions using white light (WL), narrow-band imaging (NBI), and MB staining. Using the maximum magnification power of the ECS we investigated the histology (duct openings or finger-like projections) and grade of dysplasia (presence or absence of enlarged oval-shaped nuclei) of the lesions. The number of duodenal lesions increased in ascending order of WL, NBI, and MB (P < 0.05). Among 51 MB-unstained lesions, 46 (90.2%) were proven to be duodenal neoplasms histologically. Duct openings were seen in 90.2% of tubular adenomas and tubulovillous adenomas. Finger-like projections were seen in 33.3% of tubular adenomas and in 88.2% of tubulovillous adenomas. Enlarged oval-shaped nuclei were observed in 100% of duodenal cancers, 33.3% of high-grade adenomas, and 9.4% of low-grade adenomas. MB staining allows more accurate detection of duodenal neoplasms in comparison to conventional WL and NBI observation. In cases of FAP, use of the maximum magnification power of the ECS may allow selection of lesions with high malignant potential.

Endocytoscopic Observation of Non-Ampullary Mucosal Duodenal Cancer.

Our previous study of duodenal adenoma using an endocytoscopy system (ECS) demonstrated that disappearance of goblet cells and spindle-shaped nuclei with loss of polarity were characteristic features. In addition, round duct openings and finger-like projections were observed in tubular adenoma and villous adenoma, respectively. Here, we retrospectively investigated six cases of histologically proven sporadic non-ampullary mucosal duodenal cancer (NAMDC) using ECS. Immunohistochemistry for CD10, MUC2, MUC5AC, and MUC6 was employed to determine the mucin phenotype in addition to conventional HE histology. Immunohistochemistry revealed one case involving the duodenal bulb that was considered to be the mixed type. The other five cases, located in the second or third portion, were considered to be the intestinal type. Vital staining of the mixed-type case was considered insufficient for ECS observation because of surface mucus. However, all five cases of intestinal-type duodenal cancer demonstrated a villous structure, disappearance of goblet cells and enlarged nuclei with loss of polarity. Tubular structures were admixed in four of those cases. Four cases demonstrated oval-shaped nuclei, and one case had spindle-shaped nuclei. Cases showing spindle-shaped nuclei in most of the lesion were diagnosed histologically as cancer in adenoma where the adenomatous component of the tumor was dominant. Oval-shaped nuclei and nuclear enlargement are the characteristic features of NAMDC revealed by ECS and are included among the histological criteria used for diagnosis. ECS offers the potential to perform real-time histological diagnosis of NAMDC in vivo.

[A Case of Synchronous Gallbladder Metastasis Originating from Advanced Gastric Cancer].

Gallbladder metastasis from gastric cancer is often found accidentally during postoperative pathological examinations, and its preoperative diagnosis is very difficult. There are a few reports in diagnostic imaging, and it is well known to have a very poor prognosis. There have been 13 reports on gallbladder metastasis from gastric cancer in the Japanese literature. Among the 13 reports, 10 cases were diagnosed with gallbladder metastasis synchronously and only 1 case was diagnosed as gallbladder metastasis before surgery. One case was reported as hematogenous metastasis, and 9 cases were reported as lymphoid metastasis. In total, 7 patients died, all within the first year after surgery. We experienced a case of synchronous gallbladder metastasis from gastric cancer.

Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks.

BACKGROUND: Recently the American Society for Gastrointestinal Endoscopy addressed the 'resect and discard' strategy, determining that accurate in vivo differentiation of colorectal polyps (CP) is necessary. Previous studies have suggested a promising application of artificial intelligence (AI), using deep learning in object recognition. Therefore, we aimed to construct an AI system that can accurately detect and classify CP using stored still images during colonoscopy. METHODS: We used a deep convolutional neural network (CNN) architecture called Single Shot MultiBox Detector. We trained the CNN using 16,418 images from 4752 CPs and 4013 images of normal colorectums, and subsequently validated the performance of the trained CNN in 7077 colonoscopy images, including 1172 CP images from 309 various types of CP. Diagnostic speed and yields for the detection and classification of CP were evaluated as a measure of performance of the trained CNN. RESULTS: The processing time of the CNN was 20 ms per frame. The trained CNN detected 1246 CP with a sensitivity of 92% and a positive predictive value (PPV) of 86%. The sensitivity and PPV were 90% and 83%, respectively, for the white light images, and 97% and 98% for the narrow band images. Among the correctly detected polyps, 83% of the CP were accurately classified through images. Furthermore, 97% of adenomas were precisely identified under the white light imaging. CONCLUSIONS: Our CNN showed promise in being able to detect and classify CP through endoscopic images, highlighting its high potential for future application as an AI-based CP diagnosis support system for colonoscopy.

Efficacy of Irinotecan as Third-line Chemotherapy for Unresectable or Recurrent Gastric Cancer.

AIM: To evaluate the efficacy and safety of third-line chemotherapy (CTx) for patients with unresectable or recurrent gastric cancer (GC) refractory to S-1 with or without platinum and taxanes. PATIENTS AND METHODS: We retrospectively analyzed clinicopathological and survival data of 26 patients who underwent third-line CTx. RESULTS: Irinotecan therapy (odds ratio=0.12, 95% confidence interval=0.02-0.38; p<0.01) and ≥2 cycles of third-line CTx (odds ratio=0.01, 95% confidence intervaI=0.01-0.11; p<0.01) were independent predictors of longer progression-free survival in multivariate Cox regression analysis. In 18 patients (69%) receiving irinotecan, the overall response rate was 11%, and the disease control rate was 44%. Median progression-free and overall survival were 3.5 and 11.3 months, respectively. Ten patients (56%) had grade 3-4 toxicities, which were managed. CONCLUSION: Irinotecan therapy may become optimal and tolerated in the third-line setting to prolong progression-free survival by increasing the number of treatment cycles.

[A Case of Advanced Recurrent Colorectal Cancer with Complete Response to Pembrolizumab Chemotherapy].

The efficacy of pembrolizumab has been demonstrated for all solid tumors showing high frequency microsatellite instability- high(MSI-High). It is a possible treatment option even in cases which do not respond to other forms of chemotherapy. We report a case of a 69-year-old man with MSI-High recurrent colorectal cancer with complete response(CR)after pembrolizumab therapy. Sigmoidectomy, extensive lymph node dissection, and partial bladder resection were performed for sigmoid colon cancer at another hospital. Histopathological examination revealed a T4a, N0, M0, Stage Ⅱb tumor. Six months after the operation, Hartmann's operation and partial resection of the small intestine were performed for local recurrence. However, the tumor invading the retroperitoneum was unresectable. Postoperative SOX therapy was performed, but it was discontinued due to Grade 3 diarrhea during the first course. The laboratory test showed MSI-High during the first course. Pembrolizumab chemotherapy was introduced as second-line therapy. Computed tomography examination after 2 courses (6 weeks)revealed reduction in the major axis of the tumor by 30% or more. After 4 courses(12 weeks), the tumor was further reduced, and a partial response(PR)was diagnosed. The tumor completely disappeared after 6 courses, and a complete response was achieved after 8 courses. The CR has been maintained for about 7 months.

Chondromodulin-1 and vascular endothelial growth factor-A expression in esophageal squamous cell carcinoma: accelerator and brake theory for angiogenesis at the early stage of cancer progression.

BACKGROUND: Magnifying endoscopy has demonstrated dramatic morphologic changes in the surface microvasculature of superficial esophageal squamous cell carcinoma (ESCC) according to the depth of invasion. We investigated the mechanism of angiogenesis in early-stage ESCC by examining the expression of vascular endothelial growth factor (VEGF)-A and chondromodulin (ChM)-1. METHODS: Using 41 samples of superficial esophageal cancer (EP and LPM 19 cases, MM or deeper 22 cases) and 7 samples of regenerative squamous epithelium, the expression of VEGF-A and ChM-1 was examined in relation to the histological grade or morphology of the surface microvasculature demonstrated by magnifying endoscopy (types A, B, and C correspond to types A, B1, and B2 and B3 of the magnifying endoscopic classification of the Japan Esophageal Society, respectively). We also investigated the correlation between CD31-positive microvessel density (MVD) and VEGF-A or ChM-1 expression. RESULTS: In normal squamous epithelium, regenerative squamous epithelium, EP and LPM cancer, and MM or deeper cancer, the positivity rates for VEGF-A and ChM-1 were 0%, 85.7%, 52.6% and 90.9%, respectively, and 48.5%, 71.4%, 73.7% and 23.8%, respectively. The VEGF-A and ChM-1 positivity rates in type B or type C vasculature were 70.0% and 76.2%, respectively, and 75.0% and 19.0%, respectively. The expression of neither VEGF-A nor ChM-1 in cancer cells was correlated with MVD (P = 0.19 and 0.68, respectively), whereas that of VEGF-A in stromal mononuclear cells (SMCs) was significantly correlated with MVD (P = 0.04). CONCLUSION: Angiogenesis at the early stage of ESCC progression is configured by the balance between accelerator (angiogenic factors from both cancer cells and SMCs) and brake (angiogenic inhibitor) factors.

[A Case of Peritoneal Metastasis of Appendiceal Mucinous Carcinoma Successfully Managed by Multidisciplinary Treatment].

There is no established treatment for appendiceal mucinous adenocarcinoma. When this condition is complicated by pseudomyxoma peritonei(PMP), multidisciplinary treatment is often administered. A 40-year-old woman was diagnosed with right ovarian cancer for which laparotomy was performed. At the time of laparotomy, we considered the tumor to be an appendiceal carcinoma infiltrating the right ovary and performed ileocecal resection with lymph node dissection(D3)and right salpingo-oophorectomy. The pathological diagnosis was stage pT3, pN0, pM0, pStage Ⅱ mucinous adenocarcinoma of the appendix. Fourteen months later, the patient underwent abdominal total hysterectomy and left salpingo-oophorectomy because a CT scan suggested recurrence in the uterus, left fallopian tube, and ovary. Seventeen months after the second operation, despite adjuvant chemotherapy, CT revealed a peritoneal nodule in the pelvic cavity. Therefore, we administered chemotherapy comprising 5 lines for 32 months, which resulted in failure. CT showed an enlarged tumor and ascites and the patient became terminally ill. We repeatedly performed cytoreduction surgery and intraperitoneal chemotherapy, which improved her QOL. One year after discharge, abdominal CT showing an abdominal wall and intraperitoneal mass. We performed again cytoreduction surgery and intraperitoneal chemotherapy. Her postoperative course is good and she is currently an outpatient.

[A Case of Low-Grade Appendiceal Mucinous Neoplasm Complicated by Pseudomyxoma Peritoneri Successfully Treated with Cytoreductive Surgery and Intraperitoneal Chemotherapy].

We experienced a case of low-grade appendiceal mucinous neoplasm complicated by pseudomyxoma peritonei that was successfully treated with cytoreductive surgery and early postoperative intraperitoneal chemotherapy. The patient was a 26- year-old man with massive ascites and a swollen appendix on the computed tomography(CT). The appendix was a cystic mass of 5 cm in size. The entire parietal peritoneum, omentum, stomach, spleen, gall bladder, and entire colon were covered with numerous mucous nodules. Total colectomy, total gastrectomy, splenectomy, cholecystectomy, total omentectomy, parietal peritonectomy, ileostomy, and intraperitoneal irrigation were performed. The pathological diagnosis was low-grade appendiceal mucinous neoplasm. Postoperative intraperitoneal chemotherapy with cisplatin and mitomycin C was performed. A residual tumor was found on the dorsal side of the hepatoduodenal ligament 3 months postoperation on the CT. The residual tumor was successfully excised via a concomitant resection of the hepatic caudate lobe. Postoperative intraperitoneal chemotherapy was then performed. No recurrence was found at 8 months postoperation. The addition of early postoperative intraperitoneal chemotherapy improved the patient's quality of life in a short period. This could be one of the treatment options.

[Analysis of Palliative Stents for Colonic Stenosis Due to Extracolonic Cancers].

We retrospectively reviewed 13 patients in whom endoscopic stenting for colonic stenosis due to extracolonic cancers(non- CRC group)was attempted between July 2012 and January 2018. There were 5 men and 8 women, with a median age of 69 years. Primary malignancies causing colonic stenosis were gastric cancer(n=4), cholangiocarcinoma(n=2), pancreatic cancer(n=2), lung cancer(n=2), uterine cancer(n=2), and ovarian cancer(n=1). The non-CRC group patients demonstrated a significantly lower technical success rate than those who received palliative stents for colonic stenosis for primary colorectal cancer(n=51)(69% vs 98%, p<0.01). In addition, the non-CRC group patients(n=13)also demonstrated a significantly lower technical success rate(69% vs 99%, pp<0.01)than those who received stents aiming to subsequently undergo a bridge to surgery. Nonetheless, colorectal stenting for extracolonic malignancies appears to be a minimally invasive treatment and could offer patients rapid relief. Thus, it could be an effective alternative to some palliative therapies.

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made remarkable progress in medicine. However, there are no reports on its application for diagnosing esophageal cancer. Here, we demonstrate the diagnostic ability of AI to detect esophageal cancer including squamous cell carcinoma and adenocarcinoma. METHODS: We retrospectively collected 8428 training images of esophageal cancer from 384 patients at the Cancer Institute Hospital, Japan. Using these, we developed deep learning through convolutional neural networks (CNNs). We also prepared 1118 test images for 47 patients with 49 esophageal cancers and 50 patients without esophageal cancer to evaluate the diagnostic accuracy. RESULTS: The CNN took 27 seconds to analyze 1118 test images and correctly detected esophageal cancer cases with a sensitivity of 98%. CNN could detect all 7 small cancer lesions less than 10 mm in size. Although the positive predictive value for each image was 40%, misdiagnosing shadows and normal structures led to a negative predictive value of 95%. The CNN could distinguish superficial esophageal cancer from advanced cancer with an accuracy of 98%. CONCLUSIONS: The constructed CNN system for detecting esophageal cancer can analyze stored endoscopic images in a short time with high sensitivity. However, more training would lead to higher diagnostic accuracy. This system can facilitate early detection in practice, leading to a better prognosis in the near future.

Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus.

BACKGROUND AND AIMS: The endocytoscopic system (ECS) helps in virtual realization of histology and can aid in confirming histological diagnosis in vivo. We propose replacing biopsy-based histology for esophageal squamous cell carcinoma (ESCC) by using the ECS. We applied deep-learning artificial intelligence (AI) to analyse ECS images of the esophagus to determine whether AI can support endoscopists for the replacement of biopsy-based histology. METHODS: A convolutional neural network-based AI was constructed based on GoogLeNet and trained using 4715 ECS images of the esophagus (1141 malignant and 3574 non-malignant images). To evaluate the diagnostic accuracy of the AI, an independent test set of 1520 ECS images, collected from 55 consecutive patients (27 ESCCs and 28 benign esophageal lesions) were examined. RESULTS: On the basis of the receiver-operating characteristic curve analysis, the areas under the curve of the total images, higher magnification pictures, and lower magnification pictures were 0.85, 0.90, and 0.72, respectively. The AI correctly diagnosed 25 of the 27 ESCC cases, with an overall sensitivity of 92.6%. Twenty-five of the 28 non-cancerous lesions were diagnosed as non-malignant, with a specificity of 89.3% and an overall accuracy of 90.9%. Two cases of malignant lesions, misdiagnosed as non-malignant by the AI, were correctly diagnosed as malignant by the endoscopist. Among the 3 cases of non-cancerous lesions diagnosed as malignant by the AI, 2 were of radiation-related esophagitis and one was of gastroesophageal reflux disease. CONCLUSION: AI is expected to support endoscopists in diagnosing ESCC based on ECS images without biopsy-based histological reference.

Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis.

BACKGROUND AND AIMS: Evaluation of endoscopic disease activity for patients with ulcerative colitis (UC) is important when determining the treatment of choice. However, endoscopists require a certain period of training to evaluate the activity of inflammation properly, and interobserver variability exists. Therefore, we constructed a computer-assisted diagnosis (CAD) system using a convolutional neural network (CNN) and evaluated its performance using a large dataset of endoscopic images from patients with UC. METHODS: A CNN-based CAD system was constructed based on GoogLeNet architecture. The CNN was trained using 26,304 colonoscopy images from a cumulative total of 841 patients with UC, which were tagged with anatomic locations and Mayo endoscopic scores. The performance of the CNN in identifying normal mucosa (Mayo 0) and mucosal healing state (Mayo 0-1) was evaluated in an independent test set of 3981 images from 114 patients with UC, by calculating the areas under the receiver operating characteristic curves (AUROCs). In addition, AUROCs in the right side of the colon, left side of the colon, and rectum were evaluated. RESULTS: The CNN-based CAD system showed a high level of performance with AUROCs of 0.86 and 0.98 to identify Mayo 0 and 0-1, respectively. The performance of the CNN was better for the rectum than for the right side and left side of the colon when identifying Mayo 0 (AUROC = 0.92, 0.83, and 0.83, respectively). CONCLUSIONS: The performance of the CNN-based CAD system was robust when used to identify endoscopic inflammation severity in patients with UC, highlighting its promising role in supporting less-experienced endoscopists and reducing interobserver variability.

Prognostic Significance of Conversion Surgery Following First- or Second-line Chemotherapy for Unresectable Gastric Cancer.

BACKGROUND/AIM: Advances in chemotherapy for gastric cancer have encouraged surgeons to perform conversion surgery following a response to first-line chemotherapy in patients with initially unresectable gastric cancer. In this study we evaluated the efficacy of conversion surgery following first- or second-line chemotherapy for unresectable gastric cancer. PATIENTS AND METHODS: We retrospectively analyzed clinicopathological and survival data of 94 patients with unresectable gastric cancer treated with first- (n=94) or second-line (n=43) chemotherapy. RESULTS: Patients who converted to surgery following first- (n=26) or second-line (n=5) chemotherapy had significantly longer survival times than those treated with chemotherapy alone (n=63) (p<0.01). Survival length did not differ significantly between patients converted to surgery following first- and second-line chemotherapy. Among 31 patients who underwent conversion surgery, one initial non-curative factor (odds ratio(OR)=0.49; 95% confidence interval (95%CI)=0.22-0.95; p=0.03) was the only significant independent predictor of longer survival in multivariate Cox regression analysis. CONCLUSION: Patients with unresectable gastric cancer initially exhibiting one noncurative factor may obtain survival benefit from conversion surgery after a response to both first- and second-line chemotherapy.