Tomography MDPI

07/07/2025

🧠📄 Can open-source AI summarize a patient's full imaging history? This study shows LLMs like Llama 3.2, Mistral, and Falcon can do it—accurately and efficiently. A promising leap for radiology workflow!

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Background/Objectives: Reviewing the entire history of imaging exams of a single patient’s records is an essential step in clinical practice, but it is time and resource consuming, with potential negative effects on workflow and on the quality of medical decisions. The main objective of this study...

07/07/2025

🌳 Unlocking Parkinson’s insights with Causal Forests! Discover how machine learning reveals hidden patterns in resting-state fMRI.

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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 perform classification between Parkinson’s disease ...

07/07/2025

🔍🖼️ Mastering 2D Image Clarity: Elevate Single-Slice DBT with CNNs! Learn to Avoid Tissue Overlap for Precision Imaging.
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Breast cancer was the most diagnosed cancer around the world in 2020. Screening programs, based on mammography, aim to achieve early diagnosis which is of extreme importance when it comes to cancer. There are several flaws associated with mammography, with one of the most important being tissue over...

04/07/2025

🔬 New insights into Basal Cell Carcinoma (BCC)!

🍬Discover how Line-Field Confocal Tomography (LCFT) reveals dermoscopic patterns with near-histologic detail. A leap forward in non-invasive skin cancer diagnostics.
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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 optical technique, has become increasingly importan...

04/07/2025

‘🥓Unlocking the brain's secrets: How gray and white matter changes reveal insights into Degenerative Cervical Myelopathy.
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Patients with degenerative cervical myelopathy (DCM) undergo adaptive supraspinal changes. However, it remains unknown how subcortical white matter changes reflect the gray matter loss. The current study investigated the interrelationship between gray matter and subcortical white matter alterations ...

02/07/2025

🎉 We’re excited to announce the winners of the Tomography Best Paper Award!

🏆 Two papers have been recognized this year for their outstanding contributions to the field of imaging science.

🥂Read more about the winning papers:
https://brnw.ch/21wTPzC

02/07/2025

🥳Tomography, Volume 11, Issue 6 (June 2025)

🏝️Visit at: https://brnw.ch/21wTPqR

🌟Cover Story: https://brnw.ch/21wTPqQ

30/06/2025

🔬🌟 Combining Magnetic Particle Imaging (MPI) with Bioluminescence Imaging (BLI) gives a powerful view into cancer cell fate and metastasis!
🧲✨ Akaluc BLI tracks viability, MPI follows cell location — together, they reveal more.📄 Read more: https://brnw.ch/21wTLRI

Magnetic particle imaging (MPI) provides hotspot tracking and direct quantification of superparamagnetic iron oxide nanoparticle (SPIO)-labelled cells. Bioluminescence imaging (BLI) with the luciferase reporter gene Akaluc can provide complementary information on cell viability. Thus, we explored co...

30/06/2025

🧲🦴 New insight: In elderly men, higher BMI = more red (hematopoietic) marrow & less fatty marrow in the proximal femur, revealed by MRI IDEAL-IQ!
🥓This “fat-to-red” shift may offer a new, non-invasive way to assess bone quality.
📄 Read more: https://brnw.ch/21wTLQT

Background: Bone assessment using the MRI DEAL-IQ sequence may have the potential to serve as a substitute for evaluating bone strength by quantifying the bone marrow hematopoietic region (R2*) and marrow adiposity (proton density fat fraction: PDFF). Higher body mass index (BMI) is associated with ...

23/06/2025

A new combined region- and pixel-based deep learning approach is making it easier to quantify abdominal adipose tissue in adolescents using Dixon MRI scans. This innovative method could enhance research and clinical assessments in adolescent health.

Check out the full paper: https://brnw.ch/21wTBJV

Background: The development of adipose tissue during adolescence may provide valuable insights into obesity-associated diseases. We propose an automated convolutional neural network (CNN) approach using Dixon-based magnetic resonance imaging (MRI) to quantity abdominal subcutaneous adipose tissue (S...

23/06/2025

Discover how digital breast tomosynthesis is helping to upgrade BIRADS scoring for better accuracy in detecting lesions via contrast-enhanced mammography. This study sheds light on improving breast cancer diagnostics with advanced imaging techniques.

Read more here: https://brnw.ch/21wTBJU

Objective: To determine the added value of digital breast tomosynthesis (DBT) in the assessment of lesions detected by contrast-enhanced mammography (CEM). Material and methods: A retrospective study was conducted in a tertiary university medical center. All CEM studies including DBT performed betwe...

20/06/2025

📊 Bridging preclinical and clinical imaging for precision oncology

The National Cancer Institute’s co-clinical imaging resources are reshaping translational research. This paper outlines infrastructure supporting harmonized imaging across animal and human studies.

🔗 https://brnw.ch/21wTy3y

Genetically engineered mouse models (GEMMs) and patient-derived xenograft mouse models (PDXs) can recapitulate important biological features of cancer. They are often part of precision medicine studies in a co-clinical setting, in which therapeutic investigations are conducted in patients and in par...