Using artificial intelligence to predict and prevent non-cancer mortality in patients with cancer: ARILIS study protocol

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Abstract

Aim: To present the ARILIS study aimed at assessing the use of artificial intelligence to analyze chest computed tomography (CT) data to predict and prevent non-cancer mortality in patients with cancer.

Material and methods: This cohort study will include patients with cancer diagnosed in the Arkhangelsk region (AR) within the 2019–2023 period. The COVID-19 patients with pneumonia, patients with general medical conditions, and the population of the Know Your Heart Study are planned to be enrolled as control groups. To detect and quantify the CT signs of the cardiovascular, pulmonary, and bone disorders, the thoracic СT scans of all the subjects will be processed using the multi-targeted AI algorithm provided by the IRA Labs company. From the date of processing of the thoracic CT scans using the multi-targeted AI algorithm, the study subjects will be followed for new clinical diagnoses and all-cause mortality.

Expected results: T he study will determine the prevalence of CT signs of the cardiovascular, pulmonary, and bone disorders in patients with cancer compared with the Know Your Heart Study population sample. It will also assess the incidence of cardiovascular, pulmonary, and bone events and all-cause mortality in patients with cancer compared with control groups, explore the potential of the IRA Labs’ multi-targeted AI algorithm in the assessment and reclassification of assessed risks in patients with cancer, and provide a software product for using mtIA in healthcare practice.

About the authors

Mikhail Yu. Valkov

Northern State Medical University; Arkhangelsk Regional Oncological Dispensary

Author for correspondence.
Email: i@mvalkov.ru
ORCID iD: 0000-0003-3230-9638
SPIN-code: 8608-8239

MD, Dr. Sci (Medicine), Professor

Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk; Arkhangelsk

Andrej М. Grjibovski

Northern State Medical University; Northern (Arctic) Federal University n.a. M.V. Lomonosov; M.K. Ammosov North-Eastern Federal University

Email: a.grjibovski@yandex.ru
ORCID iD: 0000-0002-5464-0498
SPIN-code: 5118-0081

MD, MPhil, PhD

Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk; Arkhangelsk; Yakutsk

Alexander V. Kudryavtsev

Northern State Medical University

Email: ispha09@gmail.com
ORCID iD: 0000-0001-8902-8947
SPIN-code: 9296-2930

PhD

Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk

Maxim A. Bogdanov

Northern State Medical University

Email: chief-bma@ya.ru
ORCID iD: 0009-0002-3469-658X
Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk

Dmitriy V. Bogdanov

Northern State Medical University; Arkhangelsk Regional Oncological Dispensary

Email: bogdanovdv@onko29.ru
ORCID iD: 0000-0002-4105-326X
SPIN-code: 2507-1354
Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk; Arkhangelsk

Andrey A. Dyachenko

Northern State Medical University

Email: andreydyachenko3@gmail.com
ORCID iD: 0000-0001-8421-5305
SPIN-code: 5887-5750

MD, Cand. Sci. (Medicine)

Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk

Valeria Yu. Chernina

JSC “IRA Labs”

Email: chernina909@gmail.com
ORCID iD: 0000-0002-0302-293X
SPIN-code: 8896-8051
Russian Federation, Moscow

Mikhail G. Belyaev

JSC “IRA Labs”

Email: belyaevmichel@gmail.com
ORCID iD: 0000-0001-9906-6453
SPIN-code: 2406-1772

Cand. Sci. (Physics and Mathematics), Professor

Russian Federation, Moscow

Farukh R. Yaushev

JSC “IRA Labs”; Moscow Institute of Physics and Technology

Email: yaushev@phystech.edu
ORCID iD: 0009-0006-1210-5311
Russian Federation, Moscow; Dolgoprudny

Elena V. Panina

JSC “IRA Labs”

Email: panina@npcmr.ru
ORCID iD: 0009-0008-2981-2957
SPIN-code: 7633-4770
Russian Federation, Moscow

Maria A. Donskova

JSC “IRA Labs”

Email: m.donskova@ira-labs.com
ORCID iD: 0009-0001-5095-1723
SPIN-code: 1892-3711
Russian Federation, Moscow

Evgenia A. Soboleva

JSC “IRA Labs”

Email: info@ira-labs.com
ORCID iD: 0009-0009-4037-6911
Russian Federation, Moscow

Maria V. Basova

JSC “IRA Labs”

Email: m.basova@ira-labs.com
ORCID iD: 0009-0000-3325-8452
Russian Federation, Moscow

Maxim E. Pisov

JSC “IRA Labs”

Email: max@ira-labs.com
ORCID iD: 0000-0001-8727-5792
SPIN-code: 7812-9031
Russian Federation, Moscow

Maria N. Dugova

JSC “IRA Labs”

Email: dugovamaria@yandex.ru
ORCID iD: 0009-0004-5586-8015
Russian Federation, Moscow

Ekaterina A. Petrash

JSC “IRA Labs”

Email: e.a.petrash@gmail.com
ORCID iD: 0000-0001-6572-5369
SPIN-code: 6910-8890
Russian Federation, Moscow

Regina R. Gareeva

JSC “IRA Labs”

Email: regina.gareeva@phystech.edu
ORCID iD: 0009-0007-5519-7268
Russian Federation, Moscow

Alexey E. Shevtsov

JSC “IRA Labs”

Email: a.shevtsov@ira-labs.com
ORCID iD: 0000-0003-3085-4325
Russian Federation, Moscow

Vilgelm V. Volman

JSC “IRA Labs”

Email: v.volman@ira-labs.com
ORCID iD: 0009-0000-6631-1256
Russian Federation, Moscow

Zelimhan G.-M. Berikhanov

Sechenov First Moscow State Medical Univesity

Email: berikkhanov_z_g@staff.sechenov.ru
ORCID iD: 0000-0002-4335-3987
SPIN-code: 5506-9748

MD, Cand. Sci. (Medicine)

Russian Federation, Moscow

Sergey N. Avdeev

Sechenov First Moscow State Medical Univesity

Email: serg_avdeev@list.ru
ORCID iD: 0000-0002-5999-2150
SPIN-code: 1645-5524

MD, Dr. Sci. (Medicine), Professor

Russian Federation, Moscow

Natalya S. Serova

Sechenov First Moscow State Medical Univesity

Email: serova_n_s@staff.sechenov.ru
ORCID iD: 0000-0001-6697-7824
SPIN-code: 4632-3235

MD, Dr. Sci. (Medicine), Professor

Russian Federation, Moscow

Marina I. Sekacheva

Sechenov First Moscow State Medical Univesity

Email: serova_n_s@staff.sechenov.ru
ORCID iD: 0000-0003-0015-7094
SPIN-code: 4801-3742

PhD, Associate Professor

Russian Federation, Moscow

Yaroslav I. Ashikhmin

Center for Healthcare Quality Assessment and Control

Email: ashikhmin@rosmedex.ru
ORCID iD: 0000-0002-1243-5701
SPIN-code: 3871-1099

MD, Cand. Sci. (Medicine)

Russian Federation, Moscow

Zhanna E. Belaya

Endocrinology Research Center

Email: jannabelaya@gmail.com
ORCID iD: 0000-0002-6674-6441
SPIN-code: 4746-7173

MD, Dr. Sci. (Medicine)

Russian Federation, Moscow

Vitaly V. Omelyanovskiy

Center for Healthcare Quality Assessment and Control

Email: vvo@rosmedex.ru
ORCID iD: 0000-0003-1581-0703
SPIN-code: 1776-4270

MD, Dr. Sci. (Medicine), Professor

Russian Federation, Moscow

Mikhail Yu. Goncharov

JSC “IRA Labs”; Artificial Intelligence Research Institute

Email: m.goncharov@ira-labs.com
ORCID iD: 0009-0009-8417-0878
SPIN-code: 7877-3375
Russian Federation, Moscow; Moscow

Aleksandr S. Gershtanskiy

Northern State Medical University

Email: zdrav@dvinaland.ru
ORCID iD: 0009-0000-9646-1511
Russian Federation, 51 Troitsky ave., 163069 Arkhangelsk

Victor A. Gombolevskiy

JSC “IRA Labs”; Sechenov First Moscow State Medical Univesity; Artificial Intelligence Research Institute

Email: g_victor@mail.ru
ORCID iD: 0000-0003-1816-1315
SPIN-code: 6810-3279

MD, Cand. Sci. (Medicine)

Moscow; Moscow; Moscow

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2. Fig. 1. Schematic representation of the project stages.

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3. Fig. 2. The results of the analysis of computed tomography using multitasking artificial intelligence technology; an image in the axial plane with data on detected pathologies: green indicates the values of findings within the normal range, yellow and orange — clinically insignificant findings, red — clinically significant; on the right is a scrolling corresponding to the CT series, on which colors are displayed pathologies identified by artificial intelligence on slices.

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4. Fig. 3. The result of processing computed tomography using multi-target artificial intelligence technology. For each CT scan, 4 key images are created, grouped according to the following principle: findings in the respiratory system, findings in the cardiovascular system, findings in the organs of the abdominal cavity and retroperitoneal space, findings in the bone system.

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