| Recruitment status | Completed |
| Unique ID issued by UMIN | UMIN000039293 |
| Receipt No. | R000044817 |
| Scientific Title | Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer |
| Date of disclosure of the study information | 2020/01/29 |
| Last modified on | 2020/01/28 (Ver. 1) |
| Basic information | ||
| Public title | Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer | |
| Acronym | Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer | |
| Scientific Title | Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer | |
| Scientific Title:Acronym | Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer | |
| Region |
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| Condition | ||||
| Condition | Pancreatic cancer | |||
| Classification by specialty |
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| Classification by malignancy | Malignancy | |||
| Genomic information | NO | |||
| Objectives | |
| Narrative objectives1 | To investigate the utility of radiomics with machine learning using 18F-fluorodeoxyglucose (FDG)-PET in patients with pancreatic cancer. |
| Basic objectives2 | Efficacy |
| Basic objectives -Others | |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | Not applicable |
| Assessment | |
| Primary outcomes | The study endpoint was overall survival (OS), defined as the time from pretreatment FDG-PET/CT scan to cancer-related death. Outcome data were collected from the medical records of each patient. Surviving patients were censored at the time of last clinical follow-up. |
| Key secondary outcomes | |
| Base | |
| Study type | Observational |
| Study design | |
| Basic design | |
| Randomization | |
| Randomization unit | |
| Blinding | |
| Control | |
| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
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| Purpose of intervention | |
| Type of intervention | |
| Interventions/Control_1 | |
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| Eligibility | ||||
| Age-lower limit |
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| Age-upper limit |
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| Gender | Male and Female | |||
| Key inclusion criteria | We enrolled 314 consecutive patients with biopsy-confirmed pancreatic invasive ductal carcinoma who underwent FDG-PET/CT before treatment between April 2010 and March 2018.
20 years old or older |
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| Key exclusion criteria | The exclusion criteria were as follows: 1) no significant solid mass on CT/MRI; 2) no significant FDG-uptake; 3) uncontrolled diabetes (<150 mg/dl); 4) multiple cancer; 5) unknown clinical course; 6) under best supportive care; 7) sudden death; 8) early death after surgery. | |||
| Target sample size | 1000 | |||
| Research contact person | |||||||
| Name of lead principal investigator |
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| Organization | Tohoku University Hospital | ||||||
| Division name | Department of Diagnostic Radiology | ||||||
| Zip code | 9808574 | ||||||
| Address | 1-1 Seiryo-Machi, Aoba-Ku, Sendai | ||||||
| TEL | +81-22-717-7312 | ||||||
| ytoyama0818@gmail.com | |||||||
| Public contact | |||||||
| Name of contact person |
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| Organization | Tohoku University Hospital | ||||||
| Division name | Department of Diagnostic Radiology | ||||||
| Zip code | 9808574 | ||||||
| Address | 1-1 Seiryo-Machi, Aoba-Ku, Sendai | ||||||
| TEL | +81-22-717-7312 | ||||||
| Homepage URL | |||||||
| ytoyama0818@gmail.com | |||||||
| Sponsor | |
| Institute | Tohoku University |
| Institute | |
| Department | |
| Funding Source | |
| Organization | N/A |
| Organization | |
| Division | |
| Category of Funding Organization | Self funding |
| Nationality of Funding Organization | |
| Other related organizations | |
| Co-sponsor | |
| Name of secondary funder(s) | |
| IRB Contact (For public release) | |
| Organization | Tohoku University Hospital IRB |
| Address | 1-1 Seiryo-Machi, Aoba-Ku, Sendai |
| Tel | 022-728-4105 |
| ytoyama0818@gmail.com | |
| Secondary IDs | |
| Secondary IDs | NO |
| Study ID_1 | |
| Org. issuing International ID_1 | |
| Study ID_2 | |
| Org. issuing International ID_2 | |
| IND to MHLW | |
| Institutions | |
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| Date of disclosure of the study information |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
| Result | |
| URL related to results and publications | |
| Number of participants that the trial has enrolled | 161 |
| Results | |
| Results date posted | |
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| Baseline Characteristics | |
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| IPD sharing Plan description | |
| Progress | |||||||
| Recruitment status | Completed | ||||||
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| Other | |
| Other related information | To obtain the volume of interest (VOI) of the primary tumor, a sphere was set to encompass the lesion and then contoured using a threshold of 40% of the SUVmax. A total of 42 PET parameters including conventional features (e.g., SUVmax, MTV, TLG) and global, local, and regional texture features were measured using the LIFEx package. Texture features were calculated only for VOIs of 64 voxels because textural features cannot be accurately quantified for small regions. All PET/CT images were assessed by two nuclear medicine physicians, with decisions made in consensus. |
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| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000044817 |