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36 results on '"Ishigaki, Tomoyuki"'

2. Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms

Author

Kudo, Shin-ei, Misawa, Masashi, Mori, Yuichi, Hotta, Kinichi, Ohtsuka, Kazuo, Ikematsu, Hiroaki, Saito, Yutaka, Takeda, Kenichi, Nakamura, Hiroki, Ichimasa, Katsuro, Ishigaki, Tomoyuki, Toyoshima, Naoya, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Baba, Toshiyuki, Ishida, Fumio, Inoue, Haruhiro, Itoh, Hayato, Oda, Masahiro, and Mori, Kensaku

Published
2020
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3. Left-sided location is a risk factor for lymph node metastasis of T1 colorectal cancer: a single-center retrospective study

Author

Mochizuki, Kenichi, Kudo, Shin-ei, Ichimasa, Katsuro, Kouyama, Yuta, Matsudaira, Shingo, Takashina, Yuki, Maeda, Yasuharu, Ishigaki, Tomoyuki, Nakamura, Hiroki, Toyoshima, Naoya, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Ishida, Fumio, and Miyachi, Hideyuki

Published
2020
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6. Combined endocytoscopy with pit pattern diagnosis in ulcerative colitis‐associated neoplasia: Pilot study.

Author

Kudo, Shin‐ei, Maeda, Yasuharu, Ogata, Noriyuki, Misawa, Masashi, Ogawa, Yushi, Takishima, Kazumi, Ishiyama, Misaki, Mochizuki, Kenichi, Minegishi, Yosuke, Ogura, Yohei, Abe, Masahiro, Okumura, Taishi, Matsudaira, Shingo, Ishigaki, Tomoyuki, Sasanuma, Seiko, Mori, Yuichi, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, and Miyachi, Hideyuki

Subjects
INFLAMMATORY bowel diseases, PILOT projects, CELL nuclei, ULCERATIVE colitis, TUMORS, DIAGNOSIS
Abstract

Objectives: Ulcerative colitis‐associated neoplasias (UCAN) are often flat with an indistinct boundary from surrounding tissues, which makes differentiating UCAN from non‐neoplasias difficult. Pit pattern (PIT) has been reported as one of the most effective indicators to identify UCAN. However, regenerated mucosa is also often diagnosed as a neoplastic PIT. Endocytoscopy (EC) allows visualization of cell nuclei. The aim of this retrospective study was to demonstrate the diagnostic ability of combined EC irregularly‐formed nuclei with PIT (EC‐IN‐PIT) diagnosis to identify UCAN. Methods: This study involved patients with ulcerative colitis whose lesions were observed by EC. Each lesion was diagnosed by two independent expert endoscopists, using two types of diagnostic strategies: PIT alone and EC‐IN‐PIT. We evaluated and compared the diagnostic abilities of PIT alone and EC‐IN‐PIT. We also examined the difference in the diagnostic abilities of an EC‐IN‐PIT diagnosis according to endoscopic inflammation severity. Results: We analyzed 103 lesions from 62 patients; 23 lesions were UCAN and 80 were non‐neoplastic. EC‐IN‐PIT diagnosis had a significantly higher specificity and accuracy compared with PIT alone: 84% versus 58% (P < 0.001), and 88% versus 67% (P < 0.01), respectively. The specificity and accuracy were significantly higher for Mayo endoscopic score (MES) 0–1 than MES 2–3: 93% versus 68% (P < 0.001) and 95% versus 74% (P < 0.001), respectively. Conclusions: Our novel EC‐IN‐PIT strategy had a better diagnostic ability than PIT alone to predict UCAN from suspected and initially detected lesions using conventional colonoscopy. UMIN clinical trial (UMIN000040698). [ABSTRACT FROM AUTHOR]

Published
2022
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7. ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.

Author

Misawa, Masashi, Kudo, Shinei, Mori, Yuichi, Ishiyama, Misaki, Minegishi, Yosuke, Kouyama, Yuta, Ogawa, Yushi, Yasuharu, Maeda, Ichimasa, Katsuro, Nakamura, Hiroki, Ishigaki, Tomoyuki, Matsudaira, Shingo, Toyoshima, Naoya, Ogata, Noriyuki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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9. ID: 3522787 IMPORTANCE OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDCYTOSCOPY

Author

Kudo, Shinei, Takashina, Yuki, Matsudaira, Shingo, Mochizuki, Kenichi, Kouyama, Yuta, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Takeda, Kenichi, Nakamura, Hiroki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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10. ID: 3521050 HOW TO DIAGNOSE TUMOR DIFFERENTIATION AS A RISK FACTOR FOR LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER?

Author

Ichimasa, Katsuro, Kudo, Shinei, Miyachi, Hideyuki, Kouyama, Yuta, Matsudaira, Shingo, Mochizuki, Kenichi, Takashina, Yuki, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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11. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

Author

Kudo, Shinei, Kaneshiro, Miyuki, Misawa, Masashi, Mochizuki, Kenichi, Nakamura, Hiroki, Kouyama, Yuta, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Matsudaira, Shingo, Toyoshima, Naoya, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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12. Mo1644 THE CLINICOPATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

Author

Kudo, Shinei, Mochida, Kentaro, Kouyama, Yuta, Matsudaira, Shingo, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Takeda, Kenichi, Nakamura, Hiroki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2020
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13. Su1068 CLINICOPATHOLOGICAL FEATURES OF "SMALL" T1 COLORECTAL CANCERS

Author

Takashina, Yuki, Kudo, Shinei, Ichimasa, Katsuro, Miyachi, Hideyuki, Kouyama, Yuta, Mochizuki, Kenichi, Matsudaira, Shingo, Ishigaki, Tomoyuki, Toyoshima, Naoya, Oikawa, Hiromasa, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, Ishida, Fumio, and Hamatani, Shigeharu

Published
2020
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14. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY

Author

Okumura, Taishi, Kudo, Shinei, Hayashi, Takemasa, Mori, Yuichi, Misawa, Masashi, Abe, Masahiro, Sato, Yuta, Kataoka, Shinichi, Kouyama, Yuta, Sakurai, Tatsuya, Yasuharu, Maeda, Ogawa, Yushi, Ichimasa, Katsuro, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, Ishida, Fumio, Oishi, Hitomi, Itoh, Hayato, and Mori, Kensaku

Published
2020
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15. Sa2029 EC-V (ENDOCYTOSCOPIC VASCULAR) PATTERN IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

Author

Kudo, Shinei, Akimoto, Yoshika, Kataoka, Shinichi, Kouyama, Yuta, Sakurai, Tatsuya, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Matsudaira, Shingo, Nakamura, Hiroki, Toyoshima, Naoya, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, Ishida, Fumio, Misawa, Masashi, and Kudo, Shin-ei

Published
2020
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16. 433 ENDOSCOPIC FEATURE OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY

Author

Kudo, Shinei, Miyata, Yuki, Mochizuki, Kenichi, Matsudaira, Shingo, Kouyama, Yuta, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Takeda, Kenichi, Nakamura, Hiroki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2020
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17. 475 ARTIFICIAL INTELLIGENCE WILL HELP IN DETERMINING THE NEED FOR ADDITIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER –ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING

Author

Ichimasa, Katsuro, Kudo, Shinei, Mori, Yuichi, Misawa, Masashi, Kouyama, Yuta, Matsudaira, Shingo, Takeda, Kenichi, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2019
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20. Mo1666 SURVEILLANCE AFTER ENDOSCOPIC SUBMUCOSAL DISSECTION FOR SUPERFICIAL COLORECTAL TUMORS

Author

Okumura, Taishi, Kudo, Shinei, Hayashi, Takemasa, Sato, Yuta, Kouyama, Yuta, Sakurai, Tatsuya, Maeda, Yasuharu, Ogawa, Yushi, Ichimasa, Katsuro, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2019
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21. Su1331 GASTRIC ESD IN DAY SURGERY

Author

Ogawa, Yushi, Kudo, Shinei, Kudo, Yui, Suzuki, Kenichi, Sato, Yuta, Sakurai, Tatsuya, Kouyama, Yuta, Maeda, Yasuharu, Igarashi, Kenta, Ichimasa, Katsuro, Ishigaki, Tomoyuki, Miyachi, Hideyuki, and Gotoda, Takuji

Published
2019
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22. Mo1724 ARTIFICIAL INTELLIGENCE IS A POWERFUL TOOL TO DETERMINE THE NEED FOR ADDTIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER −ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING−

Author

Ichimasa, Katsuro, Kudo, Shinei, Mori, Yuichi, Misawa, Masashi, Matsudaira, Shingo, Kouyama, Yuta, Baba, Toshiyuki, Hidaka, Eiji, Wakamura, Kunihiko, Hayashi, Takemasa, Hisayuki, Tomokazu, Kudo, Toyoki, Toyoshima, Naoya, Ishigaki, Tomoyuki, Yagawa, Yusuke, Nakamura, Hiroki, Takeda, Kenichi, Sakurai, Tatsuya, Miyachi, Hideyuki, Hamatani, Shigeharu, and Ishida, Fumio

Published
2018
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23. Clinicopathological features of T1 colorectal carcinomas with skip lymphovascular invasion.

Author

Sato, Yuta, Kudo, Shin-Ei, Ichimasa, Katsuro, Matsudaira, Shingo, Kouyama, Yuta, Kato, Kazuki, Baba, Toshiyuki, Wakamura, Kunihiko, Hayashi, Takemasa, Kudo, Toyoki, Ogata, Noriyuki, Mori, Yuichi, Misawa, Masashi, Toyoshima, Naoya, Ishigaki, Tomoyuki, Yagawa, Yusuke, Nakamura, Hiroki, Sakurai, Tatsuya, Shakuo, Yukiko, and Suzuki, Kenichi

Subjects
COLON cancer treatment, COLON cancer patients, CANCER invasiveness, CANCER treatment, DISEASE management
Abstract

With recent advances in endoscopic treatment, many T1 colorectal carcinomas (CRCs) are resected endoscopically with a negative margin. However, some lesions exhibit skip lymphovascular invasion (SLVI), which is defined as the discontinuous foci of the tumor cells within the colon wall. The aim of the present study was to reveal the clinicopathological features of T1 CRCs with SLVI and validate the Japanese guidelines regarding SLVI. A total of 741 patients with T1 CRCs that were resected surgically between April 2001 and October 2016 in our hospital were divided into two groups: With SLVI and without SLVI. Clinicopathological features compared between the two groups were patient's gender, age, tumor size, location, morphology, lymphovascular invasion, tumor differentiation, tumor budding and lymph node metastasis. The incidence of T1 CRCs with SLVI was 0.9% (7/741). All cases with SLVI were found in the sigmoid colon or rectum. T1 CRCs with SLVI showed significantly higher rates of lymphovascular invasion than those without SLVI (P<0.01). In conclusion, lymphovascular invasion was a significant risk factor for SLVI in T1 CRCs, and for which surgical colectomy was necessary. The Japanese guidelines are appropriate regarding SLVI. Registered in the University Hospital Medical Network Clinical Trials Registry (UMIN000027097). [ABSTRACT FROM AUTHOR]

Published
2018
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24. Su1622 Endocytoscopic Diagnosis of Tumor Grading in Early-Stage Colorectal Cancer

Author

Cho, Tomonari, Kudo, Shinei, Sako, Tomoya, Urushibara, Fumihiko, Sakurai, Tatsuya, Kouyama, Yuta, Kataoka, Shinichi, Yamauchi, Akihiro, Ogawa, Yushi, Igarashi, Kenta, Yasuharu, Maeda, Kato, Kazuki, Takeda, Kenichi, Yagawa, Yusuke, Ichimasa, Katsuro, Matsudaira, Shingo, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Hayashi, Takemasa, Kudo, Toyoki, Hisayuki, Tomokazu, Wakamura, Kunihiko, Katagiri, Atsushi, Baba, Toshiyuki, and Ishida, Fumio

Published
2017
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27. Su1678 The Efficiency of Self-Expanding Metallic Stents Placement As a Bridge to Surgery for Malignant Colonic Obstruction: a Clinical Result From a Japanese Referral Center

Author

Yagawa, Yusuke, Kudo, Shin-Ei, Mori, Yuichi, Mukai, Shunpei, Ishibashi, Fumiaki, Igarashi, Kenta, Ogawa, Yushi, Ichimasa, Katsuro, Ishigaki, Tomoyuki, Toyoshima, Naoya, Misawa, Masashi, Kudo, Toyoki, Kodama, Kenta, Wakamura, Kunihiko, Hayashi, Takemasa, Miyachi, Hideyuki, Hidaka, Eiji, and Ishida, Fumio

Published
2015
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34. Short- and long-term outcomes of self-expanding metallic stent placement vs. emergency surgery for malignant colorectal obstruction.

Author

Yagawa, Yusuke, Kudo, Shin-Ei, Miyachi, Hideyuki, Mori, Yuichi, Misawa, Masashi, Sato, Yuta, Kudo, Koki, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Baba, Toshiyuki, and Ishida, Fumio

Subjects
SURGICAL emergencies, COLORECTAL cancer, PROCTOLOGY, CLINICAL trial registries, LYMPHADENECTOMY, COLOSTOMY
Abstract

The European Society of Gastrointestinal Endoscopy does not recommend self-expanding metal stent (SEMS) placement as a bridge to surgery (BTS) for malignant colorectal obstruction (MCRO). However, no universally accepted consensus has been determined. The present study aimed to evaluate the short- and long-term outcomes of SEMS placement vs. emergency surgery (ES) for MCRO. Surgical resection of colorectal cancer was performed in 3,840 patients between April 2001 and June 2016. Of these, 93 patients had MCRO requiring emergency decompression. Only patients in whom the colorectal lesion was ultimately resected were included; thus, the present study included 62 patients treated with MCRO via SEMS placement as a BTS (n=25) or via ES (n=37). The rates of laparoscopic surgery, primary anastomosis, stoma formation, lymph node dissection, adverse events, 30-day mortality and disease-free survival were evaluated. The clinical success rate of SEMS placement was 92.0% (23/25). Compared with the ES group, the SEMS group had higher rates of laparoscopic surgery (68.0 vs. 2.7%; P<0.001) and primary anastomosis (88.0 vs. 51.4%; P=0.003), a greater number of dissected lymph nodes (30 vs. 18; P=0.001), and lower incidences of stoma formation (24.0 vs. 67.6%; P=0.002) and overall adverse events (24.0 vs. 62.2%; P=0.004). The 30-day mortality and disease-free survival of the SEMS group were not significantly different to that of the ES group (0 vs. 2.7%; P=1.000; log-rank test; P=0.10). In conclusion, as long as adverse events such as perforation are minimized, SEMS placement as a BTS could be a first treatment option for MCRO. The present study is registered in the University Hospital Medical Network Clinical Trials Registry (UMIN R000034868). [ABSTRACT FROM AUTHOR]

Published
2021
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35. Correction: Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Author

Ichimasa, Katsuro, Kudo, Shin-Ei, Mori, Yuichi, Misawa, Masashi, Matsudaira, Shingo, Kouyama, Yuta, Baba, Toshiyuki, Hidaka, Eiji, Wakamura, Kunihiko, Hayashi, Takemasa, Kudo, Toyoki, Ishigaki, Tomoyuki, Yagawa, Yusuke, Nakamura, Hiroki, Takeda, Kenichi, Haji, Amyn, Hamatani, Shigeharu, Mori, Kensaku, Ishida, Fumio, and Miyachi, Hideyuki

Published
2018
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36. Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Author

Ichimasa K, Kudo SE, Mori Y, Misawa M, Matsudaira S, Kouyama Y, Baba T, Hidaka E, Wakamura K, Hayashi T, Kudo T, Ishigaki T, Yagawa Y, Nakamura H, Takeda K, Haji A, Hamatani S, Mori K, Ishida F, and Miyachi H

Subjects
Aged, Female, Heuristics, Humans, Japan, Male, Middle Aged, Models, Theoretical, Neoplasm Staging, Prognosis, Risk Assessment, Sensitivity and Specificity, Artificial Intelligence statistics & numerical data, Colorectal Neoplasms pathology, Colorectal Neoplasms surgery, Diagnostic Errors prevention & control, Diagnostic Errors statistics & numerical data, Endoscopy methods, Endoscopy standards, Lymphatic Metastasis diagnosis, Unnecessary Procedures statistics & numerical data
Abstract

Background and Study Aims: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificial intelligence can predict LNM presence, thus minimizing the need for additional surgery., Patients and Methods: Data on 690 consecutive patients with T1 CRCs that were surgically resected in 2001 - 2016 were retrospectively analyzed. We divided patients into two groups according to date: data from 590 patients were used for machine learning for the artificial intelligence model, and the remaining 100 patients were included for model validation. The artificial intelligence model analyzed 45 clinicopathological factors and then predicted positivity or negativity for LNM. Operative specimens were used as the gold standard for the presence of LNM. The artificial intelligence model was validated by calculating the sensitivity, specificity, and accuracy for predicting LNM, and comparing these data with those of the American, European, and Japanese guidelines., Results: Sensitivity was 100 % (95 % confidence interval [CI] 72 % to 100 %) in all models. Specificity of the artificial intelligence model and the American, European, and Japanese guidelines was 66 % (95 %CI 56 % to 76 %), 44 % (95 %CI 34 % to 55 %), 0 % (95 %CI 0 % to 3 %), and 0 % (95 %CI 0 % to 3 %), respectively; and accuracy was 69 % (95 %CI 59 % to 78 %), 49 % (95 %CI 39 % to 59 %), 9 % (95 %CI 4 % to 16 %), and 9 % (95 %CI 4 % - 16 %), respectively. The rates of unnecessary additional surgery attributable to misdiagnosing LNM-negative patients as having LNM were: 77 % (95 %CI 62 % to 89 %) for the artificial intelligence model, and 85 % (95 %CI 73 % to 93 %; P  < 0.001), 91 % (95 %CI 84 % to 96 %; P  < 0.001), and 91 % (95 %CI 84 % to 96 %; P  < 0.001) for the American, European, and Japanese guidelines, respectively., Conclusions: Compared with current guidelines, artificial intelligence significantly reduced unnecessary additional surgery after endoscopic resection of T1 CRC without missing LNM positivity., Competing Interests: None, (© Georg Thieme Verlag KG Stuttgart · New York.)

Published
2018
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