FDG‐PET for preoperative evaluation of tumor invasion in ampullary cancer: A retrospective analysis-Reference-Cited by-同舟云学术

FDG‐PET for preoperative evaluation of tumor invasion in ampullary cancer: A retrospective analysis

Published:2021-05-12 Issue:3 Volume:124 Page:317-323
ISSN:0022-4790
Container-title:Journal of Surgical Oncology
language:en
Short-container-title:J Surg Oncol

Author:

Watanabe Akira¹^ORCID,Harimoto Norifumi¹,Araki Kenichiro¹,Kubo Norio¹^ORCID,Igarashi Takamichi¹,Tsukagoshi Mariko¹²,Ishii Norihiro¹,Hirai Keitaro³,Tanaka Hiroshi³,Mochida Yasushi⁴,Kogure Norimichi⁴,Higuchi Tetsuya⁵,Shirabe Ken¹

Affiliation:

1. Department of Hepatobiliary and Pancreatic Surgery Gunma University Graduate School of Medicine Gunma Japan

2. Department of Innovative Cancer Immunotherapy Gunma University Gunma Japan

3. Department of Gastroenterological Surgery National Hospital Organization Takasaki General Medical Center Gunma Japan

4. Department of Gastroenterological Surgery Gunma Prefectural Cancer Center Gunma Japan

5. Department of Diagnostic Radiology and Nuclear Medicine Gunma University Graduate School of Medicine Gunma Japan

Publisher

Wiley

Subject

Oncology,General Medicine,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jso.26513

Reference21 articles.

1. Prognostic Nomogram for Disease-Specific Survival in Patients with Non-metastatic Ampullary Carcinoma After Surgery

2. Staging accuracy of ampullary tumors by endoscopic ultrasound: Meta-analysis and systematic review

3. Computed tomography evaluation of regional lymph node metastases in patients with biliary cancer

4. Comparison between positron emission tomography and computed tomography in the use of the assessment of esophageal carcinoma

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1. Evaluation of Malignancy Risk of Ampullary Tumors Detected by Endoscopy Using 2-[¹⁸F]FDG PET/CT;Korean Journal of Radiology;2024

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3. Machine learning models for predicting survival in patients with ampullary adenocarcinoma;Asia-Pacific Journal of Oncology Nursing;2022-12