A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

…, NW Jenkins, D Lituiev, TP Copeland, MS Aboian… - Radiology, 2019 - pubs.rsna.org
Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis
of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 ( 18 F) …

Imaging characteristics of pediatric diffuse midline gliomas with histone H3 K27M mutation

MS Aboian, DA Solomon, E Felton… - American Journal …, 2017 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The 2016 World Health Organization Classification of
Tumors of the Central Nervous System includes “diffuse midline glioma with histone H3 K27M …

Clinically relevant and minimally invasive tumor surveillance of pediatric diffuse midline gliomas using patient-derived liquid biopsy

E Panditharatna, LB Kilburn, MS Aboian… - Clinical Cancer …, 2018 - AACR
… or nonenhancing lesions by an experienced neuro-oncologist (SN Magge) and neuroradiology
fellow (MS Aboian) with guidance from a board-certified neuroradiologist (S. Cha). …

124I-MIBG PET/CT to monitor metastatic disease in children with relapsed neuroblastoma

MS Aboian, S Huang… - Journal of Nuclear …, 2021 - Soc Nuclear Med
The metaiodobenzylguanidine (MIBG) scan is one of the most sensitive noninvasive lesion
detection modalities for neuroblastoma. Unlike 123 I-MIBG, 124 I-MIBG allows high-…

3D printed absorber for capturing chemotherapy drugs before they spread through the body

HJ Oh, MS Aboian, MYJ Yi, JA Maslyn… - ACS central …, 2019 - ACS Publications
Despite efforts to develop increasingly targeted and personalized cancer therapeutics,
dosing of drugs in cancer chemotherapy is limited by systemic toxic side effects. We have …

[HTML][HTML] Machine learning applications for differentiation of glioma from brain metastasis—a systematic review

…, VL Chiang, A Malhotra, B Scheffler, MS Aboian - Cancers, 2022 - mdpi.com
Simple Summary We present a systematic review of published reports on machine learning (ML)
applications for the differentiation of gliomas from brain metastases by summarizing …

[HTML][HTML] Drug capture materials based on genomic DNA-functionalized magnetic nanoparticles

CM Blumenfeld, MD Schulz, MS Aboian… - Nature …, 2018 - nature.com
Chemotherapy agents are notorious for producing severe side-effects. One approach to
mitigating this off-target damage is to deliver the chemotherapy directly to a tumor via …

Diffusion characteristics of pediatric diffuse midline gliomas with histone H3-K27M mutation using apparent diffusion coefficient histogram analysis

…, S Braunstein, S Mueller, S Cha - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Diffuse midline gliomas with histone H3 K27M mutation
are biologically aggressive tumors with poor prognosis defined as a new diagnostic entity in …

[HTML][HTML] Machine learning tools for image-based glioma grading and the quality of their reporting: Challenges and opportunities

…, L Staib, S Payabvash, JT Mongan, S Cha, MS Aboian - Cancers, 2022 - mdpi.com
Simple Summary Despite their prevalence in research, ML tools that can predict glioma
grade from medical images have yet to be incorporated clinically. The reporting quality of ML …

Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery

…, V Chiang, I Ikuta, MD Lin, MS Aboian - Neuro-Oncology …, 2022 - academic.oup.com
Background Treatment of brain metastases can be tailored to individual lesions with treatments
such as stereotactic radiosurgery. Accurate surveillance of lesions is a prerequisite but …