Leticia Ibarra and Michel Maharbiz and Kristofer Pister

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2017-177

December 1, 2017

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-177.pdf

Monitoring for cancer recurrence after initial therapy is challenging. Current imaging technology limits the size at which cancer may be detected; currently, the smallest clinically detectable tumor is 1-2 mm in diameter [1,20]. A locally recurrent tumor of this size has a high chance for metastatic dissemination, which could render the patient incurable [2]. In collaboration with oncologist researchers from Washington State University and UC-San Francisco, we propose a modern cancer surveillance technique that utilizes a radiation-detecting micro-sensor employed with radiolabeled inhibitor-based anti-body drug conjugates (ADC’s) for the localization of prostate cancer. To achieve molecular identification and localization, a network of CMOS image sensors will be used to localize tumor growth at early stages. As preliminary design steps, this project report identifies and analyzes system constraints to establish a theoretical framework for such a design. Based on data presented in this study, simulations suggest that two 500 x 500 um2 stacked CMOS Active Pixel Sensors (APS) with a 500 um separation could be used to localize a tumor with a 300 um radius up to 5mm from the sensor interface.

Advisors: Kristofer Pister

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BibTeX citation:

@mastersthesis{Ibarra:EECS-2017-177,
    Author= {Ibarra, Leticia and Maharbiz, Michel and Pister, Kristofer},
    Title= {Implantable Beta Radiation Detecting Active Pixel Sensor Design For Prostate Cancer Surveillance},
    School= {EECS Department, University of California, Berkeley},
    Year= {2017},
    Month= {Dec},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-177.html},
    Number= {UCB/EECS-2017-177},
    Abstract= {Monitoring for cancer recurrence after initial therapy is challenging. Current imaging technology limits the size at which cancer may be detected; currently, the smallest clinically detectable tumor is 1-2 mm in diameter [1,20]. A locally recurrent tumor of this size has a high chance for metastatic dissemination, which could render the patient incurable [2].  In collaboration with oncologist researchers from Washington State University and UC-San Francisco, we propose a modern cancer surveillance technique that utilizes a radiation-detecting micro-sensor employed with radiolabeled inhibitor-based anti-body drug conjugates (ADC’s) for the localization of prostate cancer. To achieve molecular identification and localization, a network of CMOS image sensors will be used to localize tumor growth at early stages. As preliminary design steps, this project report identifies and analyzes system constraints to establish a theoretical framework for such a design. Based on data presented in this study, simulations suggest that two 500 x 500 um2 stacked CMOS Active Pixel Sensors (APS) with a 500 um separation could be used to localize a tumor with a 300 um radius up to 5mm from the sensor interface.},
}

EndNote citation:

%0 Thesis
%A Ibarra, Leticia 
%A Maharbiz, Michel 
%A Pister, Kristofer 
%T Implantable Beta Radiation Detecting Active Pixel Sensor Design For Prostate Cancer Surveillance
%I EECS Department, University of California, Berkeley
%D 2017
%8 December 1
%@ UCB/EECS-2017-177
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-177.html
%F Ibarra:EECS-2017-177