Hyperspectral Imaging for Neoplasm Early Stage Detection (HINED)
Utilize Hyperspectral Imaging to Reveal the Possible Clues of Neoplasm for Early Stage Detection
Background Information With the advance in cancer biology, we realize that malignant neoplasm is related with different biological patterns in metabolome and microbiota. Because of the progress in optical spectrometry, it has become possible to evaluate whole visible and innon-visiable absorptive spectrum in human specimens, which may enable detection of minor changes in compound related with altered metabolome and microbiota. We hope to utilize hyperspectral imagingthis spectrum technology to reveal the possible clues of neoplasm for early stage detection
Material and Methods This research intended to enroll one hundred patients into the study. This includes patients with positive stool or urine analysis admitted for workup of colorectal cancer. We will scan the stool and urine with hyperspectral imaging sensoroptical spectrometer, which utilize multichannel charge-coupled device and InGaAs array to analyze the full spectrum of light patterns. The image pattern will be stored and used to linked final diagnosis. Absorption, scattering, and reflection spectra are expected for analysis. Follow up analysis after cancer staging will be used for lowering background noise in all spectra.
Expected Results We expect that there will be specific spectral pattern in stool of colorectal cancer patients, which may be related with cancer staging and different from those in patients without malignancy. Difference in spectra will lead to discovery of new biomarker for colorectal cancer and related diseases. The optic spectra pattern of stool and urine may assist early diagnosis and staging of different malignancies
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Background Information With the advance in cancer biology, we realize that malignant neoplasm is related with different biological patterns in metabolome and microbiota. Because of the progress in optical spectrometry, it has become possible to evaluate whole visible and innon-visiable absorptive spectrum in human specimens, which may enable detection of minor changes in compound related with altered metabolome and microbiota. We hope to utilize hyperspectral imagingthis spectrum technology to reveal the possible clues of neoplasm for early stage detection
Material and Methods This research intended to enroll one hundred patients into the study. This includes patients with positive stool or urine analysis admitted for workup of colorectal cancer. We will scan the stool and urine with hyperspectral imaging sensoroptical spectrometer, which utilize multichannel charge-coupled device and InGaAs array to analyze the full spectrum of light patterns. The image pattern will be stored and used to linked final diagnosis. Absorption, scattering, and reflection spectra are expected for analysis. Follow up analysis after cancer staging will be used for lowering background noise in all spectra.
Expected Results We expect that there will be specific spectral pattern in stool of colorectal cancer patients, which may be related with cancer staging and different from those in patients without malignancy. Difference in spectra will lead to discovery of new biomarker for colorectal cancer and related diseases. The optic spectra pattern of stool and urine may assist early diagnosis and staging of different malignancies
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Chih-Shou Chen
- Phone Number: +886975353211
- Email: cgmh5093@gmail.com
Study Contact Backup
- Name: DONG-RU HO
- Phone Number: +14158573127
- Email: redoxdrh@gmail.com
Study Locations
-
-
-
Chiayi City, Taiwan, 613
- Recruiting
- Dong-Ru Ho
-
Contact:
- DONG-RU HO
- Phone Number: +886919861588
- Email: redoxdrh@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- patients with positive stool or urine analysis
- above 20 year-old
- previous stool or urine analysis negative 8 weeks ago
Exclusion Criteria:
- pregnancy
- active gastrointestinal disease one year ago
- active infection
- having surgery within a year
- underlying active gastrointestinal, urinary tract, and coagulation disease
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
neoplasm
neoplasm found in follow up
|
using hyperspectral detector for evaluation excreta pattern
|
|
non-neoplasm
non-neoplasm patients in follow up
|
using hyperspectral detector for evaluation excreta pattern
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
neoplasm diagnosis
Time Frame: 6 months after examination
|
pathology diagnosis in examination
|
6 months after examination
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 201701068B0
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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