Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm

Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm - Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000043512

Enrollment

Registered

2021-03-10

Start date

2021-04-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

gastric cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) A case in which gastric cancer was diagnosed before surgery and gastrectomy or total gastrectomy with lymph node dissection was performed. 2) The histological type of the main lesion is papillary adenocarcinoma, well-differentiated tubular adenocarcinoma, moderately differentiated tubular adenocarcinoma, solid poorly differentiated adenocarcinoma, non-solid poorly differentiated adenocarcinoma, signet ring cell carcinoma, or mucinous cancer. What is 3) The section at the time of histopathological diagnosis is in a state that can withstand re-analysis.

Exclusion criteria

Exclusion criteria: 1) Those containing special histological types such as adenosquamous carcinoma, squamous carcinoma, and carcinoid tumor in the main lesion 2) When the person in charge of research determines that participation in this research is inappropriate 3) When the research subject expresses refusal to participate in this research by opt-out

Design outcomes

Primary

Measure	Time frame
Accuracy (accuracy rate, sensitivity, and specificity) for the diagnosis of lymph node metastasis for gastric cancer	—

Secondary

Measure	Time frame
Duration, confidence, accuracy according to the histological types, and minimum size of lesion for the diagnosis of metastasis by pathologists	—

Countries

Japan

Contacts

Public ContactHideki Hayashi

Chiba University Hospital (Medtech Link Center) / Frontier Medical Engineering Center Esophageal-Gastro-Intestinal Surgery

hhayashi@faculty.chiba-u.jp043-226-2109

Outcome results