Takamatsu M - Search Results

1

Prediction of Recurrence Pattern of Pancreatic Cancer Post-Pancreatic Surgery Using Histology-Based Supervised Machine Learning Algorithms: A Single-Center Retrospective Study.

Hayashi K, Ono Y, Takamatsu M, Oba A, Ito H, Sato T, Inoue Y, Saiura A, Takahashi Y. Hayashi K, et al. Among authors: takamatsu m. Ann Surg Oncol. 2022 Mar 1. doi: 10.1245/s10434-022-11471-x. Online ahead of print. Ann Surg Oncol. 2022. PMID: 35230581

2

Repeat hepatectomy for liver metastases from bile duct neuroendocrine tumor: a case report.

Miyashita M, Ono Y, Takamatsu M, Inoue Y, Sato T, Ito H, Takahashi Y, Saiura A. Miyashita M, et al. Among authors: takamatsu m. Surg Case Rep. 2020 Aug 8;6(1):204. doi: 10.1186/s40792-020-00967-x. Surg Case Rep. 2020. PMID: 32770496 Free PMC article.

3

Ki-67 Labeling Index Variability Between Surgically Resected Primary and Metastatic Hepatic Lesions of Gastroenteropancreatic Neuroendocrine Neoplasms.

Furukawa T, Ozaka M, Takamatsu M, Takazawa Y, Inamura K, Inoue Y, Mie T, Takeda T, Kanata R, Kasuga A, Matsuyama M, Sasaki T, Takahashi Y, Sasahira N. Furukawa T, et al. Among authors: takamatsu m. Int J Surg Pathol. 2021 Aug;29(5):475-481. doi: 10.1177/1066896921990715. Epub 2021 Feb 5. Int J Surg Pathol. 2021. PMID: 33543658

4

A case of necrotic enteritis during neoadjuvant chemotherapy with gemcitabine and S-1 for resectable pancreatic ductal adenocarcinoma.

Furukawa T, Sasaki T, Ono Y, Kawano F, Takamatsu M, Mori C, Mie T, Yamada Y, Okamoto T, Takeda T, Kasuga A, Matsuyama M, Ozaka M, Takahashi Y, Sasahira N. Furukawa T, et al. Among authors: takamatsu m. Clin J Gastroenterol. 2021 Oct;14(5):1571-1577. doi: 10.1007/s12328-021-01480-w. Epub 2021 Jul 13. Clin J Gastroenterol. 2021. PMID: 34255287

5

ASO Author Reflections: Histology-Based Supervised Machine Learning Model Can Predict Recurrence Pattern of Pancreatic Cancer.

Hayashi K, Ono Y, Ito H, Takamatsu M, Takahashi Y. Hayashi K, et al. Among authors: takamatsu m. Ann Surg Oncol. 2022 Mar 12. doi: 10.1245/s10434-022-11540-1. Online ahead of print. Ann Surg Oncol. 2022. PMID: 35279773 No abstract available.

6

Impact of Histological Features on Adjuvant Chemotherapy for Invasive Intraductal Papillary Mucinous Carcinoma.

Furukawa T, Takamatsu M, Inoue Y, Okamoto T, Mie T, Yamada Y, Takeda T, Kasuga A, Matsuyama M, Sasaki T, Ozaka M, Oba A, Ito H, Ono Y, Sato T, Takahashi YU, Saiura A, Sasahira N. Furukawa T, et al. Among authors: takamatsu m. Anticancer Res. 2022 May;42(5):2645-2655. doi: 10.21873/anticanres.15742. Anticancer Res. 2022. PMID: 35489761

7

KRAS variant allele frequency, but not mutation positivity, associates with survival of patients with pancreatic cancer.

Suzuki T, Masugi Y, Inoue Y, Hamada T, Tanaka M, Takamatsu M, Arita J, Kato T, Kawaguchi Y, Kunita A, Nakai Y, Nakano Y, Ono Y, Sasahira N, Takeda T, Tateishi K, Uemura S, Koike K, Ushiku T, Takeuchi K, Sakamoto M, Hasegawa K, Kitago M, Takahashi Y, Fujishiro M; GTK Pancreatic Cancer Study Group in Japan. Suzuki T, et al. Among authors: takamatsu m. Cancer Sci. 2022 Sep;113(9):3097-3109. doi: 10.1111/cas.15398. Epub 2022 Jun 12. Cancer Sci. 2022. PMID: 35567350 Free PMC article.

8

[Polychlorinated biphenyl residues in plasma of yusho children born to mothers who had consumed oil contaminated by PCB (author's transl)].

Abe S, Inoue Y, Takamatsu M. Abe S, et al. Among authors: takamatsu m. Fukuoka Igaku Zasshi. 1975 Oct;66(10):605-9. Fukuoka Igaku Zasshi. 1975. PMID: 811530 Japanese. No abstract available.

9

Pathological risk factors and predictive endoscopic factors for lymph node metastasis of T1 colorectal cancer: a single-center study of 846 lesions.

Yasue C, Chino A, Takamatsu M, Namikawa K, Ide D, Saito S, Igarashi M, Fujisaki J. Yasue C, et al. Among authors: takamatsu m. J Gastroenterol. 2019 Aug;54(8):708-717. doi: 10.1007/s00535-019-01564-y. Epub 2019 Feb 27. J Gastroenterol. 2019. PMID: 30810812

10

Prediction of early colorectal cancer metastasis by machine learning using digital slide images.

Takamatsu M, Yamamoto N, Kawachi H, Chino A, Saito S, Ueno M, Ishikawa Y, Takazawa Y, Takeuchi K. Takamatsu M, et al. Comput Methods Programs Biomed. 2019 Sep;178:155-161. doi: 10.1016/j.cmpb.2019.06.022. Epub 2019 Jun 22. Comput Methods Programs Biomed. 2019. PMID: 31416544

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