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Photoacoustic Imaging in Detecting Ovarian or Fallopian Tube Cancer

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT02530606
Recruitment Status : Withdrawn (Efficacy)
First Posted : August 21, 2015
Last Update Posted : November 28, 2018
Sponsor:
Information provided by (Responsible Party):
Stanford University

Brief Summary:
This pilot clinical trial studies how well photoacoustic imaging works in detecting ovarian or fallopian tube cancer. Photoacoustic imaging is an imaging method that uses lasers to light up tissue, and then converts the light information into ultrasound images. Photoacoustic imaging can provide images of the structure of tissues, as well as their function and the levels of molecules, such as the flow of blood in blood vessels and the level of oxygen in the blood. Photoacoustic imaging may help doctors determine whether a mass is benign (non-cancerous) or cancerous based on the molecular differences between cancer and normal tissue. It may be more accurate and less expensive than other imaging methods, and does not expose patients to radiation.

Condition or disease Intervention/treatment Phase
Fallopian Tube Carcinoma Ovarian Carcinoma Procedure: Photoacoustic Imaging Not Applicable

Detailed Description:

PRIMARY OBJECTIVES:

I. To assess the performance of photoacoustic imaging (PAI) in detection of ovarian cancer in a clinical setting and to help improve the design of the next generation hand held PAI probe.

SECONDARY OBJECTIVES:

I. To evaluate vasculature and oxygen saturation in lesions based on PAI-measurements.

OUTLINE:

Patients undergo PAI over 15-30 minutes prior to the ovarian excision.

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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 0 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Official Title: Transvaginal Ultrasound and Photoacoustic Imaging of the Ovaries and the Fallopian Tubes: A Clinical Feasibility Study
Study Start Date : September 2016
Estimated Primary Completion Date : September 2017
Actual Study Completion Date : November 2018


Arm Intervention/treatment
Experimental: Diagnostic (PAI)
Patients undergo PAI over 15-30 minutes prior to the ovarian excision.
Procedure: Photoacoustic Imaging
Undergo PAI




Primary Outcome Measures :
  1. Depth of lesion from skin surface as measured by ultrasound (US) [ Time Frame: Baseline (at the time of surgery) ]
    Descriptive statistics (proportions, means) will be used to summarize depth of lesion. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  2. Lesion total hemoglobin per PAI [ Time Frame: Post-surgery processing (up to 1 year) ]
    Descriptive statistics (proportions, means) will be used to summarize lesion total hemoglobin. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  3. PAI signal intensity measured as signal-to-noise ratio (SNR) in dB in region of interest (ROI) [ Time Frame: Post-surgery processing (up to 1 year) ]
    Descriptive statistics (proportions, means) will be used to summarize PAI signal intensity. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  4. Percent SO2 in ROI [ Time Frame: Post-surgery processing (up to 1 year) ]
    Descriptive statistics (proportions, means) will be used to summarize percent SO2 in ROI. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  5. Size of lesion as measured by US [ Time Frame: Baseline (at the time of surgery) ]
    Descriptive statistics (proportions, means) will be used to summarize size of lesion. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  6. Time span for PAI examination [ Time Frame: Baseline (at the time of surgery) ]
    Descriptive statistics (proportions, means) will be used to summarize time span for PAI examination. The distribution of signal intensity on PAI, total hemoglobin concentration (HbT), and oxygen saturation (SO2) will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the receiver operating characteristic (ROC) curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.

  7. Visibility/quality rating of PAI-image as measured by 5-level scale: not visible, barely visible, fair (or moderately) visible, visible, and clearly visible [ Time Frame: Baseline (at the time of surgery) ]
    Descriptive statistics (proportions, means) will be used to summarize visibility/quality rating of PAI. The distribution of signal intensity on PAI, HbT, and SO2 will be summarized separately by lesion depth, size and status using means and will be graphed as boxplots with a P value of the corresponding Kendall correlation to aid in interpretation. The area under the ROC curve will be computed along with a 95% confidence interval based on the .632 bootstrap estimated error rate.



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 80 Years   (Adult, Older Adult)
Sexes Eligible for Study:   Female
Accepts Healthy Volunteers:   No
Criteria

Inclusion Criteria:

  • Patients must be undergoing ovarian resection
  • Ability to understand and the willingness to sign a written informed consent document

Exclusion Criteria:

  • Patients who have had primary surgical excision
  • Pregnant or lactating women

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02530606


Locations
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United States, California
Stanford University, School of Medicine
Palo Alto, California, United States, 94304
Sponsors and Collaborators
Stanford University
Investigators
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Principal Investigator: Sanjiv Gambhir Stanford Cancer Institute
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Responsible Party: Stanford University
ClinicalTrials.gov Identifier: NCT02530606    
Other Study ID Numbers: GYNOPF0014
NCI-2015-01284 ( Registry Identifier: CTRP (Clinical Trial Reporting Program) )
348
31295 ( Other Identifier: Stanford IRB )
First Posted: August 21, 2015    Key Record Dates
Last Update Posted: November 28, 2018
Last Verified: November 2018
Additional relevant MeSH terms:
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Carcinoma
Neoplasms, Glandular and Epithelial
Neoplasms by Histologic Type
Neoplasms