Alexey Surov
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Explore the profile of Alexey Surov including associated specialties, affiliations and a list of published articles.
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350
Citations
2845
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Recent Articles
1.
Haag N, Niehoff J, Shahzadi I, Panknin C, Wiemer M, Kaese S, et al.
Eur Radiol
. 2025 Feb;
PMID: 39966178
Purpose: Qualitative comparison of image quality and diagnostic usability of the recently introduced ZeeFree (ZF) reconstruction algorithm for photon-counting coronary CT angiography (cCTA) with Standard (SD) and TrueStack (TS) reconstruction...
2.
Meyer H, Leonhardi J, Potratz J, Jechorek D, Schramm K, Borggrefe J, et al.
Magn Reson Imaging
. 2025 Feb;
118:110356.
PMID: 39938670
Objective: Diffusion-weighted imaging and the quantified apparent diffusion coefficient (ADC) correlate with cell density and histopathological features in tumors. Radiomics analysis may provide more insight into the underlying microstructure and...
3.
Kreher R, Hille G, Preim B, Hinnerichs M, Borggrefe J, Surov A, et al.
Comput Biol Med
. 2025 Jan;
186:109622.
PMID: 39778239
Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of three separate adipose tissues and five different muscle tissues in CT slices of the third...
4.
Heitmann F, Christ S, Surov A, March C, Christ S, Pech M, et al.
In Vivo
. 2024 Dec;
39(1):292-301.
PMID: 39740889
Background/aim: To assess the ability of apparent diffusion coefficient (ADC) at baseline in predicting overall survival in patients who undergo Y90-radioembolization (Y90-RE) for liver-dominant metastatic colorectal cancer (mCRC) in the...
5.
Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer
Surov A, Borggrefe J, Hohn A, Meyer H
Cancer Imaging
. 2024 Dec;
24(1):170.
PMID: 39707580
Background: The complex interactions of the tumor micromilieu may be reflected by diffusion-weighted imaging (DWI) derived from the magnetic resonance imaging (MRI). The present study investigated the association between apparent...
6.
Bucher A, Behrend J, Ehrengut C, Muller L, Emrich T, Schramm D, et al.
Acad Radiol
. 2024 Dec;
PMID: 39675998
Rationale And Objectives: The prognostic role of computed tomography (CT)-defined skeletal muscle features in COVID-19 is still under investigation. The aim of the present study was to evaluate the prognostic...
7.
Barajas Ordonez F, Gottschling S, Eger K, Borggrefe J, Jechorek D, Surov A
Insights Imaging
. 2024 Dec;
15(1):294.
PMID: 39636546
Objective: Investigate the association between the relative tumor enhancement (RTE) of gadoxetic acid across various MRI phases and immunohistochemical (IHC) features in patients with liver metastases (LM) from colorectal cancer...
8.
Surov A, Wienke A, Borggrefe J, Auer T, Gebauer B, Mahringer-Kunz A, et al.
J Cancer Res Clin Oncol
. 2024 Nov;
150(12):515.
PMID: 39614916
Purpose: The purpose of the present study was to analyze associations between different skeletal muscle quality parameters and survival in patients with hepatocellular carcinoma (HCC) undergoing treatment with transarterial chemoembolization...
9.
Boriesosdick J, Shahzadi I, Xie L, Georgescu B, Gibson E, Frohwein L, et al.
Clin Neuroradiol
. 2024 Nov;
35(1):185-195.
PMID: 39585389
Purpose: Deep learning (DL) methods for detecting large vessel occlusion (LVO) in acute ischemic stroke (AIS) show promise, but the effect of computed tomography angiography (CTA) image quality on DL...
10.
Meyer H, Wienke A, Surov A
Acad Radiol
. 2024 Nov;
32(3):1306-1312.
PMID: 39562196
Rationale And Objectives: Coronary artery calcification (CAC) can be quantified by computed tomography (CT). It is an important predictive and prognostic imaging marker for cardiovascular disease. The prognostic role for...