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Tomography, Volume 11, Issue 5

2025 May - 10 articles

Cover Story: The accurate assessment of thyroid cartilage invasion is essential for the planning of effective treatment in laryngeal cancer. This study investigates the diagnostic value of contrast-enhanced ultrasound (CEUS) time–intensity curve (TIC) parameters in distinguishing between invaded and non-invaded non-ossified thyroid cartilage. Given that non-ossified thyroid cartilage is composed of avascular hyaline cartilage, it was hypothesized that CEUS would show no enhancement unless the tissue was invaded by a tumor, with corresponding differences in TIC parameters. By comparing these TIC-derived quantitative metrics with histopathological findings, this study shows the potential of CEUS as a complementary imaging modality to computed tomography or/and magnetic resonance imaging. View this paper
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Articles (10)

  • Article
  • Open Access
3,112 Views
10 Pages

Birth-Related Subdural Hemorrhage in Asymptomatic Newborns: Magnetic Resonance Imaging Prevalence and Evolution of Intracranial and Intraspinal Localization

  • Davide Turilli,
  • Leandra Piscopo,
  • Alberto Dessì,
  • Claudia Pinna,
  • Liala Mirella Fattacciu,
  • Emma Solinas,
  • Ilaria Conti,
  • Stefania Tamburrini,
  • Giacomo Sica and
  • Mariano Scaglione
  • + 2 authors

Background: Neonatal birth-related intracranial subdural hemorrhages (SDHs) represent a form of bleeding inside the skull that occurs in newborns. This condition includes the extravasation of blood both in the encephalic parenchyma and in the extra-a...

  • Article
  • Open Access
1,573 Views
13 Pages

Time-Intensity Curve Analysis of Contrast-Enhanced Ultrasound for Non-Ossified Thyroid Cartilage Invasion in Laryngeal Squamous Cell Carcinoma

  • Milda Pucėtaitė,
  • Dalia Mitraitė,
  • Rytis Tarasevičius,
  • Davide Farina,
  • Silvija Ryškienė,
  • Saulius Lukoševičius,
  • Evaldas Padervinskis,
  • Valdas Šarauskas and
  • Saulius Vaitkus

Objective: This study aimed to assess the diagnostic value of contrast-enhanced ultrasound (CEUS) time–intensity curve (TIC) parameters in detecting non-ossified thyroid cartilage invasion in patients with laryngeal squamous cell carcinoma (SCC...

  • Article
  • Open Access
1 Citations
2,209 Views
16 Pages

Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder

  • Elahe Hosseini,
  • Seyyed Ali Hosseini,
  • Stijn Servaes,
  • Brandon Hall,
  • Pedro Rosa-Neto,
  • Ali-Reza Moradi,
  • Ajay Kumar,
  • Mir Mohsen Pedram and
  • Sanjeev Chawla

Background: According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults suffer from attention deficit hyperactivity disorder (ADHD). This disorder can have significant negative consequences on people’s live...

  • Article
  • Open Access
1,412 Views
11 Pages

Objectives: Extensive-stage small-cell lung cancer (SCLC) has a poor prognosis, but recently, the combination of immunotherapy and chemotherapy has improved treatment outcomes in some patients, and treatment plans may vary depending on the individual...

  • Article
  • Open Access
2,783 Views
12 Pages

CT Perfusion Imaging in Patients with Acute Ischemic Stroke: The Role of Premorbid Statin Treatment

  • Eliseo Picchi,
  • Francesca Di Giuliano,
  • Noemi Pucci,
  • Fabrizio Sallustio,
  • Silvia Minosse,
  • Alfredo Paolo Mascolo,
  • Federico Marrama,
  • Valentina Ferrazzoli,
  • Valerio Da Ros and
  • Francesco Garaci
  • + 2 authors

Background. Statins appear to be useful in patients with acute ischemic stroke. Our aim was to evaluate the association between premorbid statin treatment and CT perfusion characteristics of acute ischemic stroke. Methods. A retrospective analysis of...

  • Article
  • Open Access
2 Citations
4,475 Views
16 Pages

Shoulder Injury Related to Vaccine Administration (SIRVA) Following COVID-19 Vaccination: Correlating MRI Findings with Patient Demographics

  • Naser Obeidat,
  • Ruba Khasawneh,
  • Ahmad Alrawashdeh,
  • Ali M. Abdel Kareem,
  • Mohammad K. Al-na’asan,
  • Mohammad Alkhatatba and
  • Suhaib Bani Essa

Objectives: Shoulder injury related to vaccine administration (SIRVA), previously observed with influenza vaccines, has gained clinical significance with widespread COVID-19 vaccination. However, few studies correlate vaccine types and demographic fa...

  • Review
  • Open Access
57 Citations
26,008 Views
45 Pages

Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods

  • Yuxiao Gao,
  • Yang Jiang,
  • Yanhong Peng,
  • Fujiang Yuan,
  • Xinyue Zhang and
  • Jianfeng Wang

Medical image segmentation is a critical application of computer vision in the analysis of medical images. Its primary objective is to isolate regions of interest in medical images from the background, thereby assisting clinicians in accurately ident...

  • Article
  • Open Access
1 Citations
1,791 Views
21 Pages

Objectives: To evaluate the medical image segmentation performance of monochromatic images in various energy levels. Methods: The low-density module (25 mm in diameter, 6 Hounsfield Unit (HU) in density difference from background) from the ACR464 pha...

  • Article
  • Open Access
4 Citations
2,331 Views
28 Pages

Background/Objectives: Developing a treatment strategy that effectively prolongs the lives of people with brain tumors requires an accurate diagnosis of the condition. Therefore, improving the preoperative classification of meningiomas is a priority....

  • Article
  • Open Access
5 Citations
1,683 Views
11 Pages

Long-Term Effects of COVID-19: Analysis of Imaging Findings in Patients Evaluated by Computed Tomography from 2020 to 2024

  • Zeynep Keskin,
  • Mihrican Yeşildağ,
  • Ömer Özberk,
  • Kemal Ödev,
  • Fatih Ateş,
  • Bengü Özkan Bakdık and
  • Şehriban Çağlak Kardaş

Background: This study aims to systematically evaluate the findings from computed tomography (CT) examinations conducted at least three months post-diagnosis of COVID-19 in patients diagnosed between 2020 and 2024. Objective: To determine the frequen...

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Tomography - ISSN 2379-139X