Marta Zerunian
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Explore the profile of Marta Zerunian including associated specialties, affiliations and a list of published articles.
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51
Citations
995
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Recent Articles
1.
Zerunian M, Polidori T, Palmeri F, Nardacci S, Del Gaudio A, Masci B, et al.
Diagnostics (Basel)
. 2025 Jan;
15(2).
PMID: 39857033
Cholangiocarcinoma (CCA) is a malignant biliary system tumor and the second most common primary hepatic neoplasm, following hepatocellular carcinoma. CCA still has an extremely high unfavorable prognosis, regardless of type...
2.
Lean body weight-based contrast injection protocol in liver CT: optimization of contrast medium dose
Caruso D, De Santis D, Del Gaudio A, Valanzuolo D, Pugliese D, Zerunian M, et al.
Radiol Med
. 2024 Dec;
PMID: 39738873
Objectives: To evaluate liver enhancement and image quality of abdominal CECT examinations acquired with multiple LBW-based contrast medium injection protocols. Material & Methods: One hundred fifty patients who underwent a...
3.
Polici M, Caruso D, Masci B, Marasco M, Valanzuolo D, DellUnto E, et al.
J Neuroendocrinol
. 2024 Nov;
37(1):e13472.
PMID: 39564809
To evaluate a radiomic strategy for predicting progression in advanced gastroenteropancreatic neuroendocrine tumor (GEP-NET) patients treated with somatostatin analogs (SSAs). Fifty-eight patients with GEP-NETs and liver metastases, with baseline computerized...
4.
Caruso D, Sammartino P, Polici M, Masci G, Biacchi D, Zerunian M, et al.
J Surg Oncol
. 2024 Nov;
130(6):1203-1212.
PMID: 39508563
Management of peritoneal surface malignancies is currently entrusted to a multimodality approach. Computed tomography (CT) scan remains the first imaging method despite the limitations in identifying small implants in critical...
5.
Caruso D, De Santis D, Tremamunno G, Santangeli C, Polidori T, Bona G, et al.
Eur Radiol
. 2024 Sep;
PMID: 39299952
Objective: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) protocol...
6.
Romano E, Polici M, Marasco M, Lerose F, DellUnto E, Nardacci S, et al.
Nutrients
. 2024 Jul;
16(14).
PMID: 39064666
Background: Neuroendocrine neoplasms (NENs) are slow-growing tumors. Sarcopenia is defined as the loss of muscle mass, strength, and physical performance. First-line NEN therapy is somatostatin analogs, which could be responsible...
7.
Albano D, Mallardi C, Afat S, Agnollitto P, Caruso D, Cannella R, et al.
Insights Imaging
. 2024 Mar;
15(1):92.
PMID: 38530547
Objectives: To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). Methods: A...
8.
Zerunian M, Masci B, Caruso D, Pucciarelli F, Polici M, Nardacci S, et al.
Diagnostics (Basel)
. 2024 Feb;
14(4).
PMID: 38396418
Magnetic resonance elastography (MRE) is an imaging technique that combines low-frequency mechanical vibrations with magnetic resonance imaging to create visual maps and quantify liver parenchyma stiffness. As in recent years,...
9.
Zerunian M, Nacci I, Caruso D, Polici M, Masci B, De Santis D, et al.
Cancers (Basel)
. 2024 Feb;
16(3).
PMID: 38339411
The aim of this study was to compare CT radiomics and morphological features when assessing benign lymph nodes (LNs) in colon cancer (CC). This retrospective study included 100 CC patients...
10.
Buddenkotte T, Rundo L, Woitek R, Escudero Sanchez L, Beer L, Crispin-Ortuzar M, et al.
Eur Radiol Exp
. 2023 Dec;
7(1):77.
PMID: 38057616
Purpose: To determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods. Methods: A deep learning model...