scholarly journals Real Time Ultrasound Molecular Imaging of Prostate Cancer with PSMA-targeted Nanobubbles

2019 ◽  
Author(s):  
Reshani Perera ◽  
Al de Leon ◽  
Xinning Wang ◽  
Yu Wang ◽  
Gopal Ramamurthy ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Imaging ◽  
Contrast Agent ◽  
Real Time ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Contrast Enhanced ◽  
Ultrasound Molecular Imaging ◽  
Tumor Accumulation ◽  
Specific Membrane

AbstractContrast-enhanced ultrasound with microbubbles has shown promise in detection of prostate cancer (PCa), but sensitivity and specificity of detection remain challenging. Targeted nanoscale contrast agents with improved capability to accumulate in tumors may result in prolonged signal enhancement and improved detection of PCa with ultrasound. Here we report on a new nanobubble contrast agent that specifically targets prostate specific membrane antigen (PSMA) overexpressed in most prostate tumors. The PSMA-targeted bubbles (PSMA-NB) were utilized to simultaneously image dual flank PCa tumors (PSMA-positive PC3pip and PSMA-negative PC3flu) to examine whether the biomarker can be successfully detected and imaged using this probe in a mouse model. Results demonstrate that active targeting of NBs to PSMA rapidly and selectively enhances tumor accumulation and is critical for tumor retention of the contrast agent. Importantly, these processes could be visualized and quantified, in real time, with standard clinical ultrasound. Such demonstration of the immense yet underutilized potential of ultrasound in the area of molecular imaging can open the door to future opportunities for improving sensitivity and specificity of cancer detection using parametric NB-enhanced ultrasound imaging.

scholarly journals First-in-Human Ultrasound Molecular Imaging With a VEGFR2-Specific Ultrasound Molecular Contrast Agent (BR55) in Prostate Cancer

2017 ◽  
Vol 52 (7) ◽  
pp. 419-427 ◽  
Author(s):  
Martijn Smeenge ◽  
François Tranquart ◽  
Christophe K. Mannaerts ◽  
Theo M. de Reijke ◽  
Marc J. van de Vijver ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Imaging ◽  
Contrast Agent ◽  
Ultrasound Molecular Imaging ◽  
Molecular Contrast

scholarly journals Real time ultrasound molecular imaging of prostate cancer with PSMA-targeted nanobubbles

2020 ◽  
Vol 28 ◽  
pp. 102213 ◽  
Author(s):  
Reshani H. Perera ◽  
Al de Leon ◽  
Xinning Wang ◽  
Yu Wang ◽  
Gopal Ramamurthy ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Imaging ◽  
Real Time ◽  
Ultrasound Molecular Imaging

scholarly journals Diagnosis of transition zone prostate cancer by multiparametric MRI: added value of MR spectroscopic imaging with sLASER volume selection

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Neda Gholizadeh ◽  
Peter B. Greer ◽  
John Simpson ◽  
Jonathan Goodwin ◽  
Caixia Fu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Transition Zone ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Diagnostic Performance ◽  
Spectroscopic Imaging ◽  
Multiparametric Mri ◽  
Low Risk ◽  
Intermediate Risk

Abstract Background Current multiparametric MRI (mp-MRI) in routine clinical practice has poor-to-moderate diagnostic performance for transition zone prostate cancer. The aim of this study was to evaluate the potential diagnostic performance of novel 1H magnetic resonance spectroscopic imaging (MRSI) using a semi-localized adiabatic selective refocusing (sLASER) sequence with gradient offset independent adiabaticity (GOIA) pulses in addition to the routine mp-MRI, including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and quantitative dynamic contrast enhancement (DCE) for transition zone prostate cancer detection, localization and grading. Methods Forty-one transition zone prostate cancer patients underwent mp-MRI with an external phased-array coil. Normal and cancer regions were delineated by two radiologists and divided into low-risk, intermediate-risk, and high-risk categories based on TRUS guided biopsy results. Support vector machine models were built using different clinically applicable combinations of T2WI, DWI, DCE, and MRSI. The diagnostic performance of each model in cancer detection was evaluated using the area under curve (AUC) of the receiver operating characteristic diagram. Then accuracy, sensitivity and specificity of each model were calculated. Furthermore, the correlation of mp-MRI parameters with low-risk, intermediate-risk and high-risk cancers were calculated using the Spearman correlation coefficient. Results The addition of MRSI to T2WI + DWI and T2WI + DWI + DCE improved the accuracy, sensitivity and specificity for cancer detection. The best performance was achieved with T2WI + DWI + MRSI where the addition of MRSI improved the AUC, accuracy, sensitivity and specificity from 0.86 to 0.99, 0.83 to 0.96, 0.80 to 0.95, and 0.85 to 0.97 respectively. The (choline + spermine + creatine)/citrate ratio of MRSI showed the highest correlation with cancer risk groups (r = 0.64, p < 0.01). Conclusion The inclusion of GOIA-sLASER MRSI into conventional mp-MRI significantly improves the diagnostic accuracy of the detection and aggressiveness assessment of transition zone prostate cancer.

Comparison of contrast-enhanced ultrasound targeted biopsies versus standard systematic biopsies for prostate cancer correction in different PSA value groups in rural China

2020 ◽  
pp. 1-7
Author(s):  
Dian Yuan Lu ◽  
Lan Liu ◽  
Li Shen ◽  
Jian Rong Cai ◽  
Li Xu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Detection Rate ◽  
Rural China ◽  
Clinical Importance ◽  
Contrast Enhanced Ultrasound ◽  
Biopsy Core ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Positive Rate

OBJECTIVE: To investigate prostate cancer detection rate of different biopsy protocols in different PSA value groups in rural China. METHODS: A total of 186 patients underwent contrast-enhanced ultrasound (CEUS) in order to determine the puncture target prior to biopsy were enrolled in this retrospective study. All patients underwent 12-core SB combined with CEUS-TB. The biopsy results of different biopsy protocols were compared in patients with stratification by PSA value. RESULTS: Among the 186 patients underwent prostate biopsy, the histopathologic results revealed prostate cancer (PCa) in 117 cases (62.9%) and benign lesions in 69 cases (37.1%). The PCa detection rate between 8-core SB and 12-core SB showed no significant difference in PSA 4–10 ng/ml group, while the 12-core SB was significantly higher than CEUS-TB (44.9% versus 32.7% , P = 0.01). In PSA 10–20 ng/ml group, the significant difference was not seen between SB and CEUS-TB (50.0% versus 45.7% , P = 0.15). As for PSA greater than 20 ng/ml group, the PCa detection rate by SB was higher than CEUS-TB, but showed no statistically significance (79.1% versus 76.9% , P = 0.15). In the overall patients, the biopsy core positive rate of CEUS-TB was significantly higher than SB (97% versus 55.5% and 28.5% , P = 0.0001). CONCLUSION: The flexible use of SB combined with CEUS-TB can reduce the number of biopsy cores in higher PSA groups. It has clinical importance in the detection of PCa in different PSA value groups in rural China.

scholarly journals 4159 Prostate cancer multiparametric MRI comparison study of 3T versus 7T in terms of lesion detection and image quality

2020 ◽  
Vol 4 (s1) ◽  
pp. 35-35
Author(s):  
Ethan Leng ◽  
Benjamin Spilseth ◽  
Anil Chauhan ◽  
Joseph Gill ◽  
Ana Rosa ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Image Quality ◽  
Cancer Detection ◽  
Quality Characteristics ◽  
Multiparametric Mri ◽  
Lesion Detection ◽  
7 Tesla ◽  
Contrast Enhanced ◽  
Technological Developments ◽  
Study Population

OBJECTIVES/GOALS: The goal of this study was to perform a comparative, multi-reader, retrospective clinical evaluation of prostate multiparametric MRI (mpMRI) at 3 Tesla (3T) vs. 7 Tesla (7T) primarily in terms of prostate cancer localization. Subjective measures of image quality and artifacts were also evaluated. METHODS/STUDY POPULATION: Nineteen subjects were imaged at 3T and 7T between March 2016 and October 2018 under IRB-approved protocols. Four radiologists retrospectively and independently reviewed the data, and completed a two-part assessment for each dataset. First, readers assessed likelihood of cancer using Prostate Imaging Reporting & Data System (PI-RADS) guidelines. Accuracy of cancer detection was compared to findings from prostate biopsy. The numbers of correctly or incorrectly classified sextants were summed across all four readers, then used to summarize detection performance. Second, readers assigned a score on a five-point Likert scale to multiple image quality characteristics for the 3T and 7T datasets. RESULTS/ANTICIPATED RESULTS: Sensitivity and specificity of 3T and 7T datasets for sextant-wise cancer detection were compared by paired two-tailed t-tests. Readers identified more sextants harboring cancer with the 3T datasets while false-positive rates were similar, resulting in significantly higher sensitivity at 3T with no significant differences in specificity. Likert scores for image quality characteristics for 3T and 7T datasets were compared by applying paired two-tailed t-tests to mean scores of the four radiologists for each dataset. Readers generally preferred the 3T datasets, in particular for staging and assessment of extraprostatic extension as well as overall quality of the contrast-enhanced data. DISCUSSION/SIGNIFICANCE OF IMPACT: Readers agreed 7T prostate mpMRI produced images with more anatomic detail, though with equivocal clinical relevance and more pronounced artifacts. Reader unfamiliarity with 7T images is a major extenuating factor. Forthcoming technological developments are anticipated to improve upon the results.

Prostate-specific Membrane Antigen Across the Spectrum of Prostate Cancer: Detection, Surgery, and Theranostics

2019 ◽  
Vol 75 (6) ◽  
pp. 927-928 ◽  
Author(s):  
Declan G. Murphy ◽  
Arun A. Azad ◽  
Shahneen Sandhu ◽  
John Violet ◽  
Michael S. Hofman
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Prostate Specific Membrane Antigen ◽  
Prostate Cancer Detection ◽  
Specific Membrane
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