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Tomography, Volume 10, Issue 6

June 2024 - 9 articles

Cover Story: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dopamine depletion and alterations in neural structures. In this study, we propose a methodology that combines Causal Forest and Machine Learning to analyze resting-state functional Magnetic Resonance Imaging signals and establish classifications in regard to PD patients and healthy participants. Additionally, we provide insight by leveraging statistical tools like Multiple Correspondence Analysis to visualize the associations between brain regions and groups. The aim of this work is to provide high-accuracy classification and interpretability in PD detection using a data-driven approach that could be further used for analyzing different neurodegenerative disorders in the future. View this paper
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Articles (9)

  • Review
  • Open Access
3 Citations
2,951 Views
14 Pages

14 June 2024

Background: Reverse transcription polymerase chain reaction (RT-PCR) is the main technique used to identify COVID-19 from respiratory samples. It has been suggested in several articles that chest CTs could offer a possible alternate diagnostic tool f...

  • Review
  • Open Access
7 Citations
5,252 Views
13 Pages

Complicated Liver Cystic Echinococcosis—A Comprehensive Literature Review and a Tale of Two Extreme Cases

  • Valentin Calu,
  • Octavian Enciu,
  • Elena-Adelina Toma,
  • Radu Pârvuleţu,
  • Dumitru Cătălin Pîrîianu and
  • Adrian Miron

11 June 2024

Cystic echinococcosis is a zoonotic parasitic disease that affects the liver in more than 70% of cases, and there is still an underestimated incidence in endemic areas. With a peculiar clinical presentation that ranges from paucisymptomatic illness t...

  • Article
  • Open Access
5 Citations
3,533 Views
10 Pages

7 June 2024

Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for CT image reconstruction to produce CT images with a very low noise level, even at a low radiation dose. The aim of this study was to assess whether t...

  • Article
  • Open Access
5 Citations
5,812 Views
18 Pages

Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging

  • Gabriel Solana-Lavalle,
  • Michael D. Cusimano,
  • Thomas Steeves,
  • Roberto Rosas-Romero and
  • Pascal N. Tyrrell

6 June 2024

In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecting and diagnosing neurodegenerative diseases. In this study, we propose a methodology to analyze functional Magnetic Resonance Imaging signals and per...

  • Article
  • Open Access
2,335 Views
14 Pages

A Secondary Analysis of Gender Respiratory Features for Ultrasonography Bilateral Diaphragm Thickness, Respiratory Pressures, and Pulmonary Function in Low Back Pain

  • Nerea Molina-Hernández,
  • David Rodríguez-Sanz,
  • José López Chicharro,
  • Ricardo Becerro-de-Bengoa-Vallejo,
  • Marta Elena Losa-Iglesias,
  • Davinia Vicente-Campos,
  • Daniel Marugán-Rubio,
  • Samuel Eloy Gutiérrez-Torre and
  • César Calvo-Lobo

3 June 2024

The aim of the present study was to determine the gender respiratory differences of bilateral diaphragm thickness, respiratory pressures, and pulmonary function in patients with low back pain (LBP). A sample of 90 participants with nonspecific LBP wa...

  • Systematic Review
  • Open Access
3 Citations
2,538 Views
11 Pages

The Role of [18F]FDG PET/CT in Predicting Toxicity in Patients with NHL Treated with CAR-T: A Systematic Review

  • Natale Quartuccio,
  • Salvatore Ialuna,
  • Sabina Pulizzi,
  • Dante D’Oppido,
  • Stefania Nicolosi and
  • Antonino Maria Moreci

3 June 2024

CAR-T-cell therapy, also referred to as chimeric antigen receptor T-cell therapy, is a novel method in the field of immunotherapy for the treatment of non-Hodgkin’s lymphoma (NHL). In patients receiving CAR-T-cell therapy, fluorodeoxyglucose Po...

  • Article
  • Open Access
4 Citations
2,348 Views
21 Pages

1 June 2024

Computer-aided diagnosis systems play a crucial role in the diagnosis and early detection of breast cancer. However, most current methods focus primarily on the dual-view analysis of a single breast, thereby neglecting the potentially valuable inform...

  • Technical Note
  • Open Access
1,669 Views
9 Pages

1 June 2024

The clinical magnetic resonance scanner (field strength ≤ 3.0 T) has limited efficacy in the high-resolution imaging of experimental mice. This study introduces a novel magnetic resonance micro-coil designed to enhance the signal-to-noise ratio (S...

  • Article
  • Open Access
3 Citations
2,806 Views
15 Pages

Understanding the Dermoscopic Patterns of Basal Cell Carcinoma Using Line-Field Confocal Tomography

  • Lorenzo Barbarossa,
  • Martina D’Onghia,
  • Alessandra Cartocci,
  • Mariano Suppa,
  • Linda Tognetti,
  • Simone Cappilli,
  • Ketty Peris,
  • Javiera Perez-Anker,
  • Josep Malvehy and
  • Gennaro Baldino
  • + 4 authors

22 May 2024

Basal cell carcinoma (BCC) is the most frequent malignancy in the general population. To date, dermoscopy is considered a key tool for the diagnosis of BCC; nevertheless, line-field confocal optical coherence tomography (LC-OCT), a new non-invasive o...

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Tomography - ISSN 2379-139X