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Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Award Number: R01CA203861
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/17/2017
PERIOD OF PERFORMANCE END DATE: 06/30/2027

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Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - PROJECT SUMMARY Our team has developed a machine learning (ML) algorithm that provides highly accurate prognostic information neurosurgeons can use to advise brain tumor removal. While this algorithm holds great promise with regard to surgical decision-making and patient outcomes, it also raises significant ethical issues and risk factors. Proactively identifying relevant ethical issues and exploring possible solutions can improve the effectiveness, benefits, and uptake of this technology, while also mitigating potential harm to patients and suboptimal surgical decision-making. We propose a 12-month bioethics research supplement that will collect original data on stakeholder perspectives about research and clinical practice involving this novel ML algorithm. Data can inform ethical and responsible implementation of this technology and will begin to lay the groundwork for developing ethical solutions and guidance to maximize patient wellbeing and support surgeon decision-making as they balance patient and caregiver needs, their professional judgment, and ML-generated surgical insights. The research team has experience in brain mapping, neuroethics, stakeholder engagement, and the responsible conduct of research and clinical practice. We propose the following aims: Aim 1. Explore the perspectives of patients (N = 15) with malignant brain tumors about perceived benefits, drawbacks, concerns, and risk factors in utilizing a ML algorithm for predicting prognosis and surgical decisions for severe brain tumors. Aim 2. Explore the perspectives of caregivers of patients (N = 15) with malignant brain tumors about perceived benefits, drawbacks, concerns, and risk factors in utilizing an ML algorithm for predicting prognosis and surgical decisions for severe brain tumors. Aim 3. Explore the perspectives of neurosurgeons (N = 15) who treat patients with malignant brain tumors about perceived benefits, drawbacks, concerns, and risk factors in utilizing an ML algorithm for predicting prognosis and surgical decisions for severe brain tumors.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $676,015 )
2024	2024	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63110	SAINT LOUIS CITY	USA	Cancer Detection and Diagnosis Research	000	8	7/29/2024	NON-COMPETING CONTINUATION	$523,997
2024	2024	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63110	SAINT LOUIS CITY	USA	Cancer Detection and Diagnosis Research	001	8	9/18/2024	SUPPLEMENT FOR EXPANSION	$152,018
														Subtotal = $676,015

Issue Date FY: 2023 ( Subtotal = $553,502 )
2023	2023	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	002	7	7/20/2023	NON-COMPETING CONTINUATION	$553,502
2023	2022	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63110	SAINT LOUIS CITY	USA	Cancer Detection and Diagnosis Research	001	6	5/19/2023	COMPETING CONTINUATION	$117,164
2023	2021	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63110	SAINT LOUIS CITY	USA	Cancer Detection and Diagnosis Research	000	5	5/19/2023	NON-COMPETING CONTINUATION	-$117,164
														Subtotal = $553,502

Issue Date FY: 2022 ( Subtotal = $598,512 )
2022	2022	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	001	6	8/17/2022	COMPETING CONTINUATION	$598,512
2022	2021	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	5	8/10/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $598,512

Issue Date FY: 2021 ( Subtotal = $698,520 )
2021	2021	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	5	12/8/2020	NON-COMPETING CONTINUATION	$663,594
2021	2021	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	001	5	1/22/2021	NON-COMPETING CONTINUATION	$34,926
														Subtotal = $698,520

Issue Date FY: 2020 ( Subtotal = $714,092 )
2020	2020	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	4	12/6/2019	NON-COMPETING CONTINUATION	$642,683
2020	2020	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	001	4	1/14/2020	NON-COMPETING CONTINUATION	$71,409
														Subtotal = $714,092

Issue Date FY: 2019 ( Subtotal = $264,990 )
2019	2019	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	3	1/10/2019	NON-COMPETING CONTINUATION	$264,990
														Subtotal = $264,990

Issue Date FY: 2018 ( Subtotal = $595,262 )
2018	2018	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	2	12/14/2017	NON-COMPETING CONTINUATION	$535,737
2018	2018	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	001	2	5/23/2018	NON-COMPETING CONTINUATION	$59,525
														Subtotal = $595,262

Issue Date FY: 2017 ( Subtotal = $580,541 )
2017	2017	WASHINGTON UNIVERSITY, THE	ONE BROOKINGS DR	SAINT LOUIS	MO	63130	SAINT LOUIS	USA	Cancer Detection and Diagnosis Research	000	1	1/16/2017	NEW	$580,541
														Subtotal = $580,541

Grand Total All Awards = $4,681,434

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Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Award Number: R01CA203861

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 01/17/2017

PERIOD OF PERFORMANCE END DATE: 06/30/2027

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