TY - GEN
T1 - Longitudinal Assessment of Intracranial Plaque Growth in Patients with Intracranial Atherosclerotic Disease
AU - Veeturi, Sricharan S.
AU - Pinter, Nandor K.
AU - Mecca, Nicholas
AU - Levy, Elad
AU - Siddiqui, Adnan
AU - Tutino, Vincent M.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Intracranial atherosclerotic disease (ICAD) is a condition that results in the narrowing of cerebral vessels due to the buildup of plaques which could subsequently lead to ischemic stroke. In this study we use a longitudinal dataset of vessel wall MRI scans from ICAD patients to observe differences in radiological features between progressing, stable and regressing plaques. We manually segmented plaques, classified them into progressing, stable or regressing plaques, and extracted radiomics features (RFs) from them. We then performed univariate statistics to determine differences in RFs between progressing, stable and regressing plaques. In a dataset of 78 plaques from 26 patients, we observed that there were 39 regressing, 18 stable and 21 progressing plaques. Through univariate statistics, we observed 27 RFs that were significantly different in at least one of the cohorts. Of these, 20 were extracted from the proton density weighted scan and 7 were extracted from the contrastenhanced scan. We also observed differences in RFs between stable and progressing plaques and progressing and regressing plaques. Finally, we performed a multivariate analysis to delineate progressing plaques from regressing and stable plaques.
AB - Intracranial atherosclerotic disease (ICAD) is a condition that results in the narrowing of cerebral vessels due to the buildup of plaques which could subsequently lead to ischemic stroke. In this study we use a longitudinal dataset of vessel wall MRI scans from ICAD patients to observe differences in radiological features between progressing, stable and regressing plaques. We manually segmented plaques, classified them into progressing, stable or regressing plaques, and extracted radiomics features (RFs) from them. We then performed univariate statistics to determine differences in RFs between progressing, stable and regressing plaques. In a dataset of 78 plaques from 26 patients, we observed that there were 39 regressing, 18 stable and 21 progressing plaques. Through univariate statistics, we observed 27 RFs that were significantly different in at least one of the cohorts. Of these, 20 were extracted from the proton density weighted scan and 7 were extracted from the contrastenhanced scan. We also observed differences in RFs between stable and progressing plaques and progressing and regressing plaques. Finally, we performed a multivariate analysis to delineate progressing plaques from regressing and stable plaques.
KW - Intracranial atherosclerotic disease
KW - Longitudinal plaque progression
KW - Radiomics
KW - Vessel wall MRI
UR - https://www.scopus.com/pages/publications/85215123321
U2 - 10.1109/WNYISPW63690.2024.10786605
DO - 10.1109/WNYISPW63690.2024.10786605
M3 - Conference contribution
AN - SCOPUS:85215123321
T3 - 2024 IEEE Western New York Image and Signal Processing Workshop, WNYISPW 2024
BT - 2024 IEEE Western New York Image and Signal Processing Workshop, WNYISPW 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Western New York Image and Signal Processing Workshop, WNYISPW 2024
Y2 - 8 November 2024
ER -