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Tumor Landscape Pathological Diagnosis by Large Tissue Sections

Tumor Landscape Pathological Diagnosis by Large Tissue Sections

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03376815
Enrollment
2000
Registered
2017-12-19
Start date
2018-01-01
Completion date
2021-06-30
Last updated
2017-12-19

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

Conditions

Pathology

Keywords

Tumor ,landscape ,pathological diagnosis

Brief summary

The aim of this study is to establish large tissue sections for 10 kinds of tumors. in order to observe the tumor landscape on microscope. The tumors including esophageal carcinoma,gastric carcinoma,hepatocellular carcinoma etc.200 cases of each tumor will be compared by traditional sample method and landscape sample method to testify the clinical value and significance of tumor landscape pathological diagnosis .

Interventions

DIAGNOSTIC_TESTlandscape sample method

200 cases of different tumor tissues will be compared by traditional sample method and landscape sample method to testify the clinical value and significance of tumor landscape pathological diagnosis .

Sponsors

Shanghai Zhongshan Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
15 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Older than 15-year-old 2. Did not receive preoperative preoperative chemotherapy or radiotherapy

Exclusion criteria

patients undergoing preoperative chemotherapy or radiotherapy

Design outcomes

Primary

MeasureTime frameDescription
Prostate,traditional and landscape sample method1st January, 2018 ~30th June, 2018200 cases of prostate carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
liver,traditional and landscape sample method1st January, 2018 ~30th June, 2018200 cases of liver cancer sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
esophageal,traditional and landscape sample method1st January, 2018 ~30th June, 2018200 cases of esophageal carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
GIST,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of gastrointestinal stromal tumor (GIST)sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
colorectal,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of colorectal carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
pancreatic,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of pancreatic carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
lung, traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of lung cancer sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
renal,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of renal carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
breast,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of breast cancer sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.
cervical,traditional and landscape sample method1st July, 2018 ~31st December, 2018200 cases of cervical carcinoma sampled by traditional method and landscape method will be compared for precise and comprehensive pathological analysis.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026