vitjВрач и информационные технологииMedical Doctor and Information Technologies1811-01932413-5208Pirogov National Medical and Surgical Center10.25881/18110193_2026_1_74vitj-314Research ArticleОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯORIGINAL RESEARCHОценка эффективности применения программного обеспечения для субтракции MosMedReg в диагностике рассеянного склероза по данным магнитно-резонансной томографииMosMedReg Subtraction Software effectiveness in Multiple Sclerosis Diagnosis Using Magnetic Resonance Imaging Datahttps://orcid.org/0000-0001-9396-6063КремневаЕ. И.KremnevaE. I.

д.м.н.

г. Москва

DSc, RCNN

Moscow

kremneva@neurology.ruhttps://orcid.org/0000-0002-4293-2514СеменовД. С.SemenovD. S.

к.т.н.

г. Москва

 

PhD

Moscow

SemenovDS4@zdrav.mos.ruhttps://orcid.org/0000-0002-9766-3390СморчковаА. К.SmorchkovaA. K.

г. Москва

Moscow

SmorchkovaAK@zdrav.mos.ruhttps://orcid.org/0000-0003-4857-5404ХоружаяА. Н.KhoruzhayaA. N.

г. Москва

Moscow

KhoruzhayaAN@zdrav.mos.ruКулиговскийД. В.KuligovskiyD. V.

г. Москва

Moscow

KuligovskiiDV@zdrav.mos.ruАдамияН. Д.AdamiaN. D.

г. Москва

Moscow

AdamiyaND1@zdrav.mos.ruhttps://orcid.org/0009-0007-3636-2889ЕрижоковР. А.ErizhokovR. A.

г. Москва

Moscow

ErizhokovRA@zdrav.mos.ruhttps://orcid.org/0000-0002-0245-4431ОмелянскаяО. В.OmelyanskayaO. V.

г. Москва

Moscow

OmelyanskayaOV@zdrav.mos.ruhttps://orcid.org/0000-0002-2990-7736ВладзимирскийА. В.VladzymyrskyyA. V.

д.м.н., д.и.н.

г. Москва

DSc

Moscow

VladzimirskijAV@zdrav.mos.ruhttps://orcid.org/0000-0002-5283-5961ВасильевЮ. А.VasilevYu. A.

д.м.н.

г. Москва

DSc

Moscow

VasilevYA1@zdrav.mos.ruФГБНУ РЦННРоссияRussian Center for Neurology and NeurosciencesRussian FederationГБУЗ «НПКЦ ДиТ ДЗМ»РоссияMoscow Center for Diagnostics and TelemedicineRussian Federation202629032026017489Copyright © Кремнева Е.И., Семенов Д.С., Сморчкова А.К., Хоружая А.Н., Кулиговский Д.В., Адамия Н.Д., Ерижоков Р.А., Омелянская О.В., Владзимирский А.В., Васильев Ю.А., 20262026Кремнева Е.И., Семенов Д.С., Сморчкова А.К., Хоружая А.Н., Кулиговский Д.В., Адамия Н.Д., Ерижоков Р.А., Омелянская О.В., Владзимирский А.В., Васильев Ю.А.Kremneva E.I., Semenov D.S., Smorchkova A.K., Khoruzhaya A.N., Kuligovskiy D.V., Adamia N.D., Erizhokov R.A., Omelyanskaya O.V., Vladzymyrskyy A.V., Vasilev Y.A.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vit-j.ru/jour/article/view/314

Цель работы — оценить эффективность автоматизированного программного обеспечения MosMedReg для субтракционного анализа МРТ головного мозга в динамике у пациентов с рассеянным склерозом в условиях рутинной амбулаторной практики. В исследование включены 30 пар МРТ, выполненных на аппаратах 1,5 Тл разных производителей, с использованием последовательностей T2, FLAIR и T1 с контрастированием и вариативной толщиной срезов. Для обработки применялись алгоритмы регистрации и субтракции на базе библиотеки SimpleElastix. Изображения анализировались экспертом вручную и с помощью программного обеспечения, результаты оценивались по клинической и технической шкалам.

Программное обеспечение обеспечило успешную регистрацию и субтракцию во всех случаях, включая серии с различиями в толщине срезов и проекциях. Среднее количество выявленных новых очагов при использовании MosMedReg не отличалось от экспертной оценки (p = 0,25), однако в ряде случаев субтракция позволила выявить клинически значимые изменения, не отмеченные при стандартном анализе. Отмечались и ложноположительные находки, связанные с техническими артефактами при несоответствии параметров сканирования.

Результаты подтверждают воспроизводимость и практическую применимость субтракционного анализа с помощью MosMedReg для повышения объективности и стандартизации диагностики в амбулаторной практике.

The aim of this study was to evaluate the effectiveness of the automated MosMedReg software for subtraction analysis of longitudinal brain MRI in patients with multiple sclerosis in a routine outpatient setting. The study included 30 paired MRI examinations performed on 1.5 T scanners from different manufacturers using T2, FLAIR, and contrast-enhanced T1 sequences with variable slice thicknesses. Image processing was performed using registration and subtraction algorithms based on the SimpleElastix library. Images were assessed manually by an expert and with the assistance of the software; results were evaluated using clinical and technical scoring systems.

The software provided successful registration and subtraction in all cases, including series different in slice thickness and projections. The average number of newly identified lesions using MosMedReg did not differ from expert assessment (p = 0.25); however, in several cases, subtraction enabled the detection of clinically significant changes that were not observed in standard analysis. False-positive findings associated with technical artifacts due to scan parameter mismatches were also noted.

The results confirm the reproducibility and practical applicability of subtraction analysis with MosMedReg for improving the objectivity and standardization of multiple sclerosis diagnosis in outpatient practice.

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The authors declare that there are no conflicts of interest present.