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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05722275
Other study ID # CASMI003
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date January 1, 2023
Est. completion date December 31, 2028

Study information

Verified date February 2023
Source Chinese Academy of Sciences
Contact Di Dong, Ph.D
Phone +86 010-82618465
Email di.dong@ia.ac.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.


Description:

Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.


Recruitment information / eligibility

Status Recruiting
Enrollment 400
Est. completion date December 31, 2028
Est. primary completion date December 31, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - (1) diagnosed advanced gastric cancer (=cT3) by endoscopy-biopsy pathology, combined with CT and/or endoscopic ultrasound; - (2) with both enhanced CT and laparoscopy; - (3) without typical peritoneal metastasis indications in CT (diffuse omental nodules or omental cake, large amount of ascites, obvious irregular thickening with high peritoneal enhancement); - (4) without other evidence of distant metastasis, and no stage IV features on CT. Exclusion Criteria: - (1) previous abdominal surgery; - (2) previous abdominal malignancies or inflammatory diseases; - (3) time intervals between CT and laparoscopy longer than 2 weeks; - (4) CT image artifacts that undermine peritoneal lesion assessment.

Study Design


Intervention

Diagnostic Test:
Peritoneal metastasis status ascertainment
Each participant with gastric cancer will undergo enhanced CT examination for detection of peritoneal metastasis. Within two weeks of CT examination, the participant will undergo diagnostic laparoscopy to confirm the status of peritoneal metastasis.

Locations

Country Name City State
China Peking University Cancer Hospital & Institute Beijing
China Fujian Medical University Union Hospital Fuzhou
China Affiliated Cancer Hospital and Institute of Guangzhou Medical University Guangzhou
China Guangdong Provincial People's Hospital Guangzhou
China Nanfang Hospital of Southern Medical University Guangzhou
China Sun Yat-Sen University Cancer Hospital Guangzhou
China Guizhou Provincial People's Hospital Guiyang
China Yunnan Cancer Hospital Kunming
China Shanxi Province Cancer Hospital Taiyuan
China Henan Cancer Hospital Zhengzhou
China The First Affiliated Hospital of Zhengzhou University Zhengzhou
China Zhenjiang First People's Hospital Zhenjiang
Italy Scientific Institute San Raffaele Milan

Sponsors (15)

Lead Sponsor Collaborator
Chinese Academy of Sciences Beihang University, Fujian Medical University Union Hospital, Guangdong Provincial People's Hospital, Guangzhou Medical University, Guizhou Provincial People's Hospital, Henan Cancer Hospital, Nanfang Hospital of Southern Medical University, Peking University Cancer Hospital & Institute, Scientific Institute San Raffaele, Shanxi Province Cancer Hospital, Sun Yat-sen University, The First Affiliated Hospital of Zhengzhou University, Yunnan Cancer Hospital, Zhenjiang First People's Hospital

Countries where clinical trial is conducted

China,  Italy, 

References & Publications (5)

Ajani JA, D'Amico TA, Bentrem DJ, Chao J, Cooke D, Corvera C, Das P, Enzinger PC, Enzler T, Fanta P, Farjah F, Gerdes H, Gibson MK, Hochwald S, Hofstetter WL, Ilson DH, Keswani RN, Kim S, Kleinberg LR, Klempner SJ, Lacy J, Ly QP, Matkowskyj KA, McNamara M, Mulcahy MF, Outlaw D, Park H, Perry KA, Pimiento J, Poultsides GA, Reznik S, Roses RE, Strong VE, Su S, Wang HL, Wiesner G, Willett CG, Yakoub D, Yoon H, McMillian N, Pluchino LA. Gastric Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2022 Feb;20(2):167-192. doi: 10.6004/jnccn.2022.0008. — View Citation

Burbidge S, Mahady K, Naik K. The role of CT and staging laparoscopy in the staging of gastric cancer. Clin Radiol. 2013 Mar;68(3):251-5. doi: 10.1016/j.crad.2012.07.015. Epub 2012 Sep 14. — View Citation

Dong D, Tang L, Li ZY, Fang MJ, Gao JB, Shan XH, Ying XJ, Sun YS, Fu J, Wang XX, Li LM, Li ZH, Zhang DF, Zhang Y, Li ZM, Shan F, Bu ZD, Tian J, Ji JF. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in pat — View Citation

Hur H, Lee HH, Jung H, Song KY, Jeon HM, Park CH. Predicting factors of unexpected peritoneal seeding in locally advanced gastric cancer: indications for staging laparoscopy. J Surg Oncol. 2010 Dec 1;102(7):753-7. doi: 10.1002/jso.21685. — View Citation

Smyth EC, Verheij M, Allum W, Cunningham D, Cervantes A, Arnold D; ESMO Guidelines Committee. Gastric cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2016 Sep;27(suppl 5):v38-v49. doi: 10.1093/annonc/mdw350. No abstract available. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Other The statistical significance of intelligent analysis system in risk stratification Statistical significance (P value) of progression-free survival (PFS) in gastric cancer patients between high-risk and low-risk group identified by the intelligent analysis system. Three years
Other Progression-free survival time The progression-free survival time in patient subgroups stratified by the intelligent analysis system. Three years
Other Overall survival The overall survival time in patient subgroups stratified by the intelligent analysis system. Three years
Primary The aera under the receiver operating characteristic curve (AUC) of intelligent analysis system AUC of the intelligent analysis system in predicting peritoneal metastasis for gastric cancer. three months
Secondary The accuray of intelligent analysis system in predicting peritoneal metastasis The agreement between the prediction outcome of intelligent analysis system and the golden standard of peritoneal metastasis. three months
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