Name: a coregistered ultrasound and photoacoustic imaging protocol for the transvaginal imaging of ovarian lesions
Uploaded: 2023-03-03T14:15:00
Description: Watch this Scientific Journal Video about A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions at JoVE.com

This work was supported by the NCI (R01CA151570, R01CA237664). The authors thank the entire GYN oncology group led by Dr. Mathew Powell for helping with recruiting patients, radiologists Drs. Cary Siegel, William Middleton, and Malak Itnai for helping with the US studies, and the pathologist Dr. Ian Hagemann for helping with the pathology interpretation of the data. The authors gratefully acknowledge the efforts of Megan Luther and the GYN study coordinators in coordinating the study schedules, identifying patients for the study, and obtaining informed consent.

All the research performed was approved by the Washington University Institutional Review Board.
1. System configuration: Optical illumination (Figure 1)
<ol>
	<li>Use an Nd:YAG laser pumping a pulsed, tunable (690-890 nm) Ti-sapphire laser at 10 Hz.</li>
	<li>Expand the laser beam by first diverging the beam with a plano-concave lens and then collimating the beam with a plano-convex lens. Use two mirrors to direct the beam onto...

<ol>
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R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Simultaneous+transrectal+ultrasound+and+photoacoustic+human+prostate+imaging.">Simultaneous transrectal ultrasound and photoacoustic human prostate imaging.</a> Science Translational Medicine. 11 (507), 2169 (2019).</li><li>Leng, X., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Assessing+rectal+cancer+treatment+response+using+coregistered+endorectal+photoacoustic+and+US+imaging+paired+with+deep+learning.">Assessing rectal cancer treatment response using coregistered endorectal photoacoustic and US imaging paired with deep learning.</a> Radiology. 299 (2), 349-358 (2021).</li><li>Surveillance, Epidemiology, and End Results Program. Cancer of the Ovary - Cancer Stat Facts. National Cancer Institute Available from: <a target="_blank" href="https://seer.cancer.gov/statfacts/html/ovary.html">https://seer.cancer.gov/statfacts/html/ovary.html</a> (2022)</li><li>Temkin, S. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Outcomes+from+ovarian+cancer+screening+in+the+PLCO+trial:+Histologic+heterogeneity+impacts+detection,+overdiagnosis+and+survival.">Outcomes from ovarian cancer screening in the PLCO trial: Histologic heterogeneity impacts detection, overdiagnosis and survival.</a> European Journal of Cancer. 87, 182-188 (2017).</li><li>Kobayashi, H., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+randomized+study+of+screening+for+ovarian+cancer:+A+multicenter+study+in+Japan.">A randomized study of screening for ovarian cancer: A multicenter study in Japan.</a> International Journal of Gynecological Cancer. 18 (3), 414-420 (2008).</li><li>Andreotti, R. F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=O-RADS+US+risk+stratification+and+management+system:+A+consensus+guideline+from+the+ACR+ovarian-adnexal+reporting+and+data+system+committee.">O-RADS US risk stratification and management system: A consensus guideline from the ACR ovarian-adnexal reporting and data system committee.</a> Radiology. 294 (1), 168-185 (2020).</li><li>Salehi, H. S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Design+of+optimal+light+delivery+system+for+coregistered+transvaginal+ultrasound+and+photoacoustic+imaging+of+ovarian+tissue.">Design of optimal light delivery system for coregistered transvaginal ultrasound and photoacoustic imaging of ovarian tissue.</a> Photoacoustics. 3 (3), 114-122 (2015).</li><li>Oppenheim, A. V., Schafer, R. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Digital Signal Processing. , (1975).</li><li>Zou, Y., Amidi, E., Luo, H., Zhu, Q. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ultrasound-enhanced+Unet+model+for+quantitative+photoacoustic+tomography+of+ovarian+lesions.">Ultrasound-enhanced Unet model for quantitative photoacoustic tomography of ovarian lesions.</a> Photoacoustics. 28, 100420 (2022).</li><li>Prince, J. L., Links, J. 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Optical illumination 
The number of fibers used is based on two factors: light illumination uniformity and system complexity. It is critical to have a uniform light illumination pattern at the skin surface to avoid hot spots. It is also important to keep the system simple and robust with a minimal number of fibers. The use of four separate fibers has previously been shown to be optimal for creating uniform illumination at depths of several millimeters and beyond. Additionally, the light coupling to ...

Photoacoustic imaging or tomography (PAT) is a hybrid imaging modality that measures the optical absorption distribution at US resolution and depths far beyond the tissue optical diffusion limit (~1 mm). In PAT, a nanosecond laser pulse is used to excite biological tissue, causing a transient temperature rise due to optical absorption. This leads to an initial pressure rise, and the resultant photoacoustic waves are measured by US transducers. Multispectral PAT involves the use of either a tunable laser or multiple lasers operating at different wavelengths to illuminate the tissue, thereby enabling the reconstruction of optical absorption maps at multiple wavelengths. Based on the differential absorption of oxygenated and deoxygenated hemoglobin in the near-infrared (NIR) window, multispectral PAT can compute the distributions of oxygenated and deoxygenated hemoglobin concentrations, the total hemoglobin concentration, and the blood oxygen saturation, which are all functional biomarkers related to tumor angiogenesis and blood oxygenation consumption or tumor metabolism. PAT has demonstrated success in many oncology applications, such as ovarian cancer1,2, breast cancer3,4,5, skin cancer6, thyroid cancer7,8, cervical cancer9, prostate cancer10,11, and colorectal cancer12.
Ovarian cancer is the deadliest of all gynecological malignancies. Only 38% of ovarian cancers are diagnosed at an early (localized or regional) stage, where the 5 year survival rate is 74.2% to 93.1%. Most are diagnosed at a late stage, for which the 5 year survival rate is 30.8% or less13. Current clinical diagnosis methods, including transvaginal ultrasonography (TUS), Doppler US, serum cancer antigen 125 (CA 125), and human epididymis protein 4 (HE4), are shown to lack sensitivity and specificity for early ovarian cancer diagnosis14,15,16. Additionally, a large portion of benign ovarian lesions may be difficult to diagnose accurately with current imaging technologies, which leads to unnecessary surgeries with increased healthcare costs and surgical complications. Thus, additional accurate non-invasive methods for the risk stratification of adnexal masses are needed to optimize the management and outcomes. Clearly, a technique that is sensitive and specific to early-stage ovarian cancer and more accurate in identifying malignant from benign lesions is needed.
Our group has developed a coregistered transvaginal US and PAT system (USPAT) for ovarian cancer diagnosis by combining a clinical US system, a custom-made probe sheath to house the optical fibers for light delivery, and a tunable laser1. The total hemoglobin concentration (relative scale, rHbT) and the blood oxygen saturation (%sO2) derived from the USPAT system have demonstrated great potential for the detection of early-stage ovarian cancers and for accurately diagnosing ovarian lesions for effective risk assessment and the reduction of unnecessary benign lesion surgeries1,2. The current system schematic is shown in Figure 1, and the control block diagram is shown in Figure 2. This strategy has the potential to be integrated into existing TUS protocols for ovarian cancer diagnosis while providing functional parameters (rHbT, %sO2) to improve the sensitivity and specificity of TUS.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Clinical US imaging system</td>
			<td>Alpinion Medical Systems</td>
			<td>EC-12R</td>
			<td>Fully programmable clinical US system</td>
		</tr>
		<tr>
			<td>Dielectric mirror</td>
			<td>Thorlabs</td>
			<td>BB1-E03</td>
			<td>Used to reflect light along the optical path</td>
		</tr>
		<tr>
			<td>Endocavity US transducer</td>
			<td>Alpinion Medical Systems</td>
			<td>EC3-10</td>
			<td>Transvaginal ultrasound probe</td>
		</tr>
		<tr>
			<td>Laser power meter</td>
			<td>Coherent</td>
			<td>LabMax TOP</td>
			<td>Used to measure laser energy</td>
		</tr>
		<tr>
			<td>Multi-mode optical fiber</td>
			<td>Thorlabs</td>
			<td>FP1000ERT</td>
			<td>Couple laser light to the endocavity ultrasound probe</td>
		</tr>
		<tr>
			<td>Non-polarizing beam splitter plate</td>
			<td>Thorlabs</td>
			<td>BSW11</td>
			<td>For splitting laser beam into sensors to measure energy</td>
		</tr>
		<tr>
			<td>Plano-concave lens</td>
			<td>Thorlabs</td>
			<td>LC1715</td>
			<td>For laser beam expansion</td>
		</tr>
		<tr>
			<td>Plano-convex lens&#160;</td>
			<td>Thorlabs</td>
			<td>LA1484-B</td>
			<td>For laser beam collimation</td>
		</tr>
		<tr>
			<td>Plano-convex lens&#160;</td>
			<td>Thorlabs</td>
			<td>LA1433-B</td>
			<td>Used to focus light into four optical fibers</td>
		</tr>
		<tr>
			<td>Polarizing beam splitter cube</td>
			<td>Thorlabs</td>
			<td>PBS252</td>
			<td>For splitting laser beam into four beams</td>
		</tr>
		<tr>
			<td>Protective probe shealth</td>
			<td>Custom 3D printed</td>
			<td></td>
			<td>Hold and protect the four optical fibers at the tip of the ultrasound probe</td>
		</tr>
		<tr>
			<td>Right angle prism mirror</td>
			<td>Thorlabs</td>
			<td>MRA25-E03</td>
			<td>Used to reflect light along the optical path</td>
		</tr>
		<tr>
			<td>Tunable laser system</td>
			<td>Symphotic TII</td>
			<td>LS-2145-LT50PC</td>
			<td>Light source for multispectral PAT</td>
		</tr>
		<tr>
			<td>USPAT control software</td>
			<td>Custom developed in C++</td>
			<td></td>
			<td>Controls acquisition parameters of the ultrasound machine and the laser wavelength</td>
		</tr>
		<tr>
			<td>USPAT image display software</td>
			<td>Custom developed in C++</td>
			<td></td>
			<td>Displays the US/PAT B-scans and sO2/rHbT maps in real time</td>
		</tr>
	</tbody>
</table>

a coregistered ultrasound and photoacoustic imaging protocol for the transvaginal imaging of ovarian lesions

Ovarian cancer remains the deadliest of all the gynecological malignancies due to the lack of reliable screening tools for early detection and diagnosis. Photoacoustic imaging or tomography (PAT) is an emerging imaging modality that can provide the total hemoglobin concentration (relative scale, rHbT) and blood oxygen saturation (%sO2) of ovarian/adnexal lesions, which are important parameters for cancer diagnosis. Combined with coregistered ultrasound (US), PAT has demonstrated great potential for detecting ovarian cancers and for accurately diagnosing ovarian lesions for effective risk assessment and the reduction of unnecessary surgeries of benign lesions. However, PAT imaging protocols in clinical applications, to our knowledge, largely vary among different studies. Here, we report a transvaginal ovarian cancer imaging protocol that can be beneficial to other clinical studies, especially those using commercial ultrasound arrays for the detection of photoacoustic signals and standard delay-and-sum beamforming algorithms for imaging.

Here, we show examples of malignant and normal ovarian lesions imaged by USPAT. Figure 3 shows a 50 year old premenopausal woman with bilateral multicystic adnexal masses revealed by contrast-enhanced CT. Figure 3A shows the US image of the left adnexa with the ROI marking the suspicious solid nodule inside the cystic lesion. Figure 3B shows the PAT rHbT map superimposed onto the US and shown in red. The rHbT showed extensive diffus...

Watch this Scientific Journal Video about A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions at JoVE.com

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

We report a coregistered ultrasound and photoacoustic imaging protocol for the transvaginal imaging of ovarian/adnexal lesions. The protocol may be valuable to other translational photoacoustic imaging studies, especially those using commercial ultrasound arrays for the detection of photoacoustic signals and standard delay-and-sum beamforming algorithms for imaging.

Ovarian cancer remains the deadliest of all the gynecological malignancies due to the lack of reliable screening tools for early detection and diagnosis. ...

As we all know that ovarian cancer is the deadliest of all the gynecology malignancies, when ovarian cancer detected at earlier and localized stage, surgery and chemotherapy can cure about 70 to 90%of patients compared with only 20%or fewer when it's diagnosed at the later stages. And current standard of care methods are known to have a lower sensitivity for early ovarian cancer detection. Furthermore, standard of care methods have very low specificity for accurate risk assessment of ovarian adnexal lesions, leading to unnecessary surgeries so with potential surgical complications and the significant healthcare cost.Therefore, our technology sensitive to early stage ovarian cancer detection and specific for accurate diagnosis of ovarian adnexal lesions is needed. Photoacoustic tomography or PAT illuminates with near-infrared lights at specific wavelengths and is selectively absorbed by oxygenated and deoxygenated hemoglobin. The photoacoustic wave generated from the light absorption can map out hemoglobin contrast, and this can be coregistered to anatomical structures imaged by coregistered ultrasound.The total hemoglobin concentration and oxygen saturation provide functional information on tissue vascularity and oxygen consumption. Since malignant lesions generally have higher total hemoglobin and lower oxygen saturation, these two independent variables may help detect ovarian cancers earlier and differentiates malignant from benign ovarian adnexal lesions accurately to improve surgical management recommendations. And we have obtained the pilot of patient data and result have demonstrated that coregistered photoacoustic imaging combined with transvaginal ultrasound and ovarian cancer blood biomarker CA 125 can actually diagnose ovarian adnexal lesions.Our pilot data also show evidence that coregistered photoacoustic imaging can detect early stage ovarian and fallopian tube cancers. And coregistered photoacoustic and ultrasound has been applied to detection and the diagnosis of breast cancer, skin cancer, thyroid cancer, cervical cancer, prostate cancer, and the colorectal cancer. However, the imaging probes vary depending on the imaging window of different organs.The first commercial coregistered photoacoustic and ultrasound breast imaging system is available from Sino Medical Instrument. We expect that more commercial coregistered photoacoustic ultrasound system will be available on the market. However, the transvaginal photoacoustic and ultrasound imaging probes will need to be specially designed for imaging patients.To begin, expand the laser beam by first diverging the beam with a plano concave lens and then collimating the beam with a plano convex lens. Use two mirrors to direct the beam onto a beam splitter. Split the original beam into two with a polarizing beam splitter and then split the two beams with two more second stage beam splitters.This way, the expanded laser beam will split into four beams with equal energy. Mount four multi-mode optical fibers with fiber chucks, and use four plano convex lenses to focus the four laser beams into the four fibers. Cover all the optical components under a metal box to ensure that the optical path is not exposed.Connect an additional monitor to the programmable clinical ultrasound or ultrasound system to run the PATUS display software for the realtime visualization of the relative total hemoglobin, the blood oxygen saturation maps, and other functional parameters. Then connect the internal trigger of the laser to the external trigger of the ultrasound system and sequentially acquire five consecutive PAT frames and one coregistered ultrasound frame. To calibrate the system, set the laser pump energy to a fixed level.And for each wavelength, check the per pulse energy output at each fiber tip to ensure the calculated energy density at each selected wavelength is at the expected value. To prepare the PATUS imaging system, turn on the clinical ultrasound system and start the ultrasound system software. Press the transducer button on the ultrasound machine control panel to open the transducer selection screen.Then select the correct ultrasound transducer. Calibrate the laser system and enter the total pulse energy for each wavelength into the PATUS display software. Assemble the PATUS probe by enclosing the fibers and the probe inside the probe sheath.For imaging, adjust the position of the PATUS transducer. A hypoechoic target slowly shows up at the center of the B-scan. Then select the desired depth in the PATUS control software and click scan in the control software to start the coregistered PATUS B-mode data acquisition.Watch the PATUS image display software to review the coregistered ultrasound and PAT B-mode images in real time. The single wavelength PA data is displayed on top of the ultrasound as they are acquired. Repeat the steps to acquire more images, and if necessary, image the second lesion.Once the data acquisition is complete, the PATUS display software receives a trigger to reconstruct the functional maps. Here, the left panel shows the ultrasound B-scan, while the right panel shows relative total hemoglobin overlaid with coregistered ultrasound. Select a region of interest or ROI, here the target ovary, to compute the SO2 map within the ROI.This image shows a 50-year-old premenopausal woman with bilateral multicystic adnexal masses revealed by contrast enhanced CT.The ultrasound image of the left adnexa with the region of interest or ROI marking the suspicious solid nodule inside the cystic lesion is shown here. The PAT relative total hemoglobin map was superimposed onto the ultrasound. The relative total hemoglobin displayed an extensive diffused vascular distribution in the depth range of one centimeter to five centimeters and the level was high at 17.1.The blood oxygen saturation distribution was superimposed onto the ultrasound and the level was low at a mean value of 46.4%Surgical pathology revealed the well-differentiated endometrioid adenocarcinoma of both the right and left ovaries. The depth was marked on the right side of the B-scan images. This figure shows a 46-year-old woman with bilateral cystic lesions.The ultrasound of the right ovary with a simple cyst measuring 4.2 centimeters in maximum diameter is shown here. The PAT relative total hemoglobin map superimposed onto the coregistered ultrasound shows scattering signals on the left side of the lesion with a low average level of 4.8. The blood oxygen saturation map revealed higher oxygen saturation content of 67.5%The surgical pathology revealed a normal right ovary with follicular cysts.For each wavelength, measure the total energy output at the four fiber tips and compare them to a previous record. If the measurement is more than one millijoule less than the record, adjust the optics to maximize energy coupling. In vivo PAT using FDA approved clinical ultrasound system is an important step in the clinical translation of PAT.Compared to ex vivo imaging, in vivo human imaging presents novel challenges in data acquisition. Clinical PAT data can be further used for computer aided diagnosis research. Our technology development and the promising pilot patient study result inspire researchers and companies to explore the full capacity of coregistered photoacoustic and ultrasound for early ovarian cancer detection and for surgical risk management.

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