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Tomography, Volume 11, Issue 3

March 2025 - 20 articles

Cover Story: At present, there are only limited data regarding the correlation between computed tomography density, as measured in Hounsfield units, and the functional status of the thyroid gland, as assessed by TSH levels. It has been suggested that measuring the iodine concentration in the thyroid gland could be a useful method for evaluating the turnover of iodine. The application of dual-energy technology enables the measurement of iodine concentration within the thyroid gland via the material decomposition algorithm. The primary aim of this study is to investigate the correlation between thyroid function and iodine concentration as measured with dual-energy computed tomography. View this paper
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Articles (20)

  • Article
  • Open Access
2,157 Views
15 Pages

Preclinical Evaluation of a Novel PSMA-Targeted Agent 68Ga-NOTA-GC-PSMA for Prostate Cancer Imaging

  • Wenjin Li,
  • Yihui Luo,
  • Yuqi Hua,
  • Qiaoling Shen,
  • Liping Chen,
  • Yu Xu,
  • Haitian Fu and
  • Chunjing Yu

Objectives: Prostate-specific membrane antigen (PSMA)-targeted radioligands are promising diagnostic tools for the targeted positron emission tomography (PET) imaging of prostate cancer (PCa). In present work, we aimed to develop a novel PSMA tracer...

  • Review
  • Open Access
2 Citations
13,397 Views
14 Pages

Calcified Lung Nodules: A Diagnostic Challenge in Clinical Daily Practice

  • Elisa Baratella,
  • Marianna Carbi,
  • Pierluca Minelli,
  • Antonio Segalotti,
  • Barbara Ruaro,
  • Francesco Salton,
  • Roberta Polverosi and
  • Maria Assunta Cova

Calcified lung nodules are frequently encountered on chest imaging, often as incidental findings. While calcifications are typically associated with benign conditions, they do not inherently exclude malignancy, making accurate differentiation essenti...

  • Article
  • Open Access
5 Citations
1,479 Views
18 Pages

Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology

  • Julia Lasek,
  • Karolina Nurzynska,
  • Adam Piórkowski,
  • Michał Strzelecki and
  • Rafał Obuchowicz

27 February 2025

Background: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artificial intelligence (AI) has been successfully applied to other imaging modalities but remains underexplored in ultrasonographic evaluations of TMJ. Ob...

  • Article
  • Open Access
1 Citations
1,964 Views
14 Pages

MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer

  • Wen Li,
  • Natsuko Onishi,
  • Jessica E. Gibbs,
  • Lisa J. Wilmes,
  • Nu N. Le,
  • Pouya Metanat,
  • Elissa R. Price,
  • Bonnie N. Joe,
  • John Kornak and
  • Christina Yau
  • + 7 authors

27 February 2025

Background: Functional tumor volume (FTV), measured from dynamic contrast-enhanced MRI, is an imaging biomarker that can predict treatment response in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). The FTV-based predictive model, c...

  • Article
  • Open Access
1,725 Views
17 Pages

A Novel Phantom for Standardized Microcalcification Detection Developed Using a Crystalline Growth System

  • Dee H. Wu,
  • Caroline Preskitt,
  • Natalie Stratemeier,
  • Hunter Lau,
  • Sreeja Ponnam and
  • Supriya Koya

27 February 2025

Background/Objectives: The accurate detection of microcalcifications in mammograms is critical for the early detection of breast cancer. However, the variability between different manufacturers is significant, particularly with digital breast tomosyn...

  • Article
  • Open Access
2,018 Views
22 Pages

27 February 2025

Lung cancer is the leading cause of cancer-related deaths globally and ranks among the most common cancer types. Given its low overall five-year survival rate, early diagnosis and timely treatment are essential to improving patient outcomes. In recen...

  • Article
  • Open Access
1,797 Views
10 Pages

Four-Dimensional Dual-Energy Computed Tomography-Derived Parameters and Their Correlation with Thyroid Gland Functional Status

  • Max H. M. C. Scheepers,
  • Zaid J. J. Al-Difaie,
  • Nicole D. Bouvy,
  • Bas Havekes and
  • Alida A. Postma

26 February 2025

Purpose: Dual-energy computed tomography (DECT) allows for the measurement of iodine concentration, a component for the synthesis of thyroid hormones. DECT can create virtual non-contrast (VNC) images, potentially reducing radiation exposure. This st...

  • Article
  • Open Access
1 Citations
1,802 Views
22 Pages

ADMM-TransNet: ADMM-Based Sparse-View CT Reconstruction Method Combining Convolution and Transformer Network

  • Sukai Wang,
  • Xueqin Sun,
  • Yu Li,
  • Zhiqing Wei,
  • Lina Guo,
  • Yihong Li,
  • Ping Chen and
  • Xuan Li

26 February 2025

Background: X-ray computed tomography (CT) imaging technology provides high-precision anatomical visualization of patients and has become a standard modality in clinical diagnostics. A widely adopted strategy to mitigate radiation exposure is sparse-...

  • Article
  • Open Access
1,862 Views
12 Pages

Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

  • Satvik Nayak,
  • Henry Salkever,
  • Ernesto Diaz,
  • Avantika Sinha,
  • Nikhil Deveshwar,
  • Madeline Hess,
  • Matthew Gibbons,
  • Sule Sahin,
  • Abhejit Rajagopal and
  • Peder E. Z. Larson
  • + 1 author

22 February 2025

Background/Objective: Longitudinal in vivo studies of murine xenograft models are widely utilized in oncology to study cancer biology and develop therapies. Magnetic resonance imaging (MRI) of these tumors is an invaluable tool for monitoring tumor g...

  • Article
  • Open Access
4 Citations
4,453 Views
18 Pages

Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer

  • Nicolò Gennaro,
  • Moataz Soliman,
  • Amir A. Borhani,
  • Linda Kelahan,
  • Hatice Savas,
  • Ryan Avery,
  • Kamal Subedi,
  • Tugce A. Trabzonlu,
  • Chase Krumpelman and
  • Vahid Yaghmai
  • + 7 authors

20 February 2025

Background/Objectives: Radiomic features exhibit a correlation with tumor size on pretreatment images. However, on post-treatment images, this association is influenced by treatment efficacy and varies between responders and non-responders. This stud...

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Tomography - ISSN 2379-139X