Photoacoustic Imaging in Detecting Ovarian or Fallopian Tube Cancer

Not Applicable

Withdrawn

• Conditions: Ovarian Carcinoma; Fallopian Tube Carcinoma
• Interventions: Procedure: Photoacoustic Imaging

• Registration Number: NCT02530606
• Lead Sponsor: 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.

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.

Study Timeline

• Study First Submitted: 2015-08-19
• Study First Submitted QC: 2015-08-19
• Study First Posted: 2015-08-21
• Study Start: 2016-09
• Primary Completion: 2017-09
• Status Verified: 2018-11
• Study Completion: 2018-11
• Last Update Submitted: 2018-11-26
• Last Update Posted: 2018-11-28

Recruitment & Eligibility

• Status: WITHDRAWN
• Sex: Female
• Target Recruitment: Not specified

Inclusion Criteria

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

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Exclusion Criteria

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

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Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Diagnostic (PAI)	Photoacoustic Imaging	Patients undergo PAI over 15-30 minutes prior to the ovarian excision.

Primary Outcome Measures

Name	Time	Method
PAI signal intensity measured as signal-to-noise ratio (SNR) in dB in region of interest (ROI)	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.
Time span for PAI examination	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.
Depth of lesion from skin surface as measured by ultrasound (US)	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.
Percent SO2 in ROI	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.
Lesion total hemoglobin per PAI	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.
Size of lesion as measured by US	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.
Visibility/quality rating of PAI-image as measured by 5-level scale: not visible, barely visible, fair (or moderately) visible, visible, and clearly visible	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.

Trial Locations

Locations (1)

Stanford University, School of Medicine; 🇺🇸 Palo Alto, California, United States