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Tomography, Volume 11, Issue 3

2025 March - 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)

  • Review
  • Open Access
2 Citations
2,109 Views
11 Pages

Utility of Cardiac CT for Cardiomyopathy Phenotyping

  • Ramzi Ibrahim,
  • Mahmoud Abdelnabi,
  • Girish Pathangey,
  • Juan Farina,
  • Steven J. Lester,
  • Chadi Ayoub,
  • Said Alsidawi,
  • Balaji K. Tamarappoo,
  • Clinton Jokerst and
  • Reza Arsanjani

Cardiac computed tomography (CT) has rapidly advanced, becoming an invaluable tool for diagnosing and prognosticating various cardiovascular diseases. While echocardiography and cardiac magnetic resonance imaging (CMR) remain the gold standards for m...

  • Communication
  • Open Access
1,072 Views
10 Pages

Background: Predictive models like Residual Neural Networks (ResNets) can use Magnetic Resonance Imaging (MRI) data to identify cervix tumors likely to recur after radiotherapy (RT) with high accuracy. However, there persists a lack of insight into m...

  • Article
  • Open Access
2 Citations
4,033 Views
16 Pages

Background/Objectives: This study aimed to investigate the predictive power of integrated longitudinal amyloid positron emission tomography (PET) and brain magnetic resonance imaging (MRI) data for determining the likelihood of conversion to Alzheime...

  • Article
  • Open Access
1,352 Views
13 Pages

Variability of HCC Tumor Diameter and Density Measurements on Dynamic Contrast-Enhanced Computed Tomography

  • Siddharth Guha,
  • Abdalla Ibrahim,
  • Pengfei Geng,
  • Qian Wu,
  • Yen Chou,
  • Oguz Akin,
  • Lawrence H. Schwartz,
  • Chuan-Miao Xie and
  • Binsheng Zhao

Purpose: In cancers imaged using contrast-enhanced protocols, such as hepatocellular carcinoma (HCC), formal guidelines rely on measurements of lesion size (in mm) and radiographic density (in Hounsfield units [HU]) to evaluate response to treatment....

  • Article
  • Open Access
1 Citations
2,537 Views
14 Pages

Ground-Glass Opacities in the Access Route and Biopsy in Highly Perfused Dependent Areas of the Lungs as Risk Factors for Pulmonary Hemorrhage During CT-Guided Lung Biopsy: A Retrospective Study

  • Michael P. Brönnimann,
  • Leonie Manser,
  • Andreas Christe,
  • Johannes T. Heverhagen,
  • Bernhard Gebauer,
  • Timo A. Auer,
  • Dirk Schnapauff,
  • Federico Collettini,
  • Christophe Schroeder and
  • Adrian T. Huber
  • + 3 authors

Background/Objectives: The risk of hemorrhage during CT-guided lung biopsy has not been systematically studied in cases where ground-glass opacities (GGO) are present in the access route or when biopsies are performed in highly perfused, dependent lu...

  • Article
  • Open Access
2 Citations
3,486 Views
12 Pages

Background/Objectives: Holotomography is an advanced imaging technique that enables high-resolution, three-dimensional visualization of microscopic specimens without the need for fixation or staining. Here we aim to apply holotomography technology to...

  • Article
  • Open Access
3 Citations
2,592 Views
20 Pages

Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods

  • Amir Moslemi,
  • Laurentius Oscar Osapoetra,
  • Archya Dasgupta,
  • Schontal Halstead,
  • David Alberico,
  • Maureen Trudeau,
  • Sonal Gandhi,
  • Andrea Eisen,
  • Frances Wright and
  • Gregory J. Czarnota
  • + 3 authors

Rationale: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure t...

  • Article
  • Open Access
1,252 Views
12 Pages

Assessing the Organ Dose in Diagnostic Imaging with Digital Tomosynthesis System Using TLD100H Dosimeters

  • Giuseppe Stella,
  • Grazia Asero,
  • Mariajessica Nicotra,
  • Giuliana Candiano,
  • Rosaria Galvagno and
  • Anna Maria Gueli

Background: Digital tomosynthesis (DTS) is an advanced imaging modality that enhances diagnostic accuracy by offering three-dimensional visualization from two-dimensional projections, which is particularly beneficial in breast and lung imaging. Howev...

  • Article
  • Open Access
1,785 Views
14 Pages

Distinguishing Low Expression Levels of Human Epidermal Growth Factor Receptor 2 in Breast Cancer: Insights from Qualitative and Quantitative Magnetic Resonance Imaging Analysis

  • Yiyuan Shen,
  • Xu Zhang,
  • Jinlong Zheng,
  • Simin Wang,
  • Jie Ding,
  • Shiyun Sun,
  • Qianming Bai,
  • Caixia Fu,
  • Junlong Wang and
  • Yajia Gu
  • + 2 authors

Background: The discovery of novel antibody–drug conjugates for low-expression human epidermal growth factor receptor 2 (HER2-low) breast cancer highlights the inadequacy of the conventional binary classification of HER2 status as either negati...

  • Article
  • Open Access
1 Citations
1,330 Views
11 Pages

Diagnostic Sensitivity of the Revised Venous System in Brain Death in Children

  • Hasibe Gökçe Çinar,
  • Berna Ucan,
  • Hasan Bulut,
  • Şükriye Yılmaz,
  • Sultan Göncü,
  • Emrah Gün,
  • Pınar Özbudak,
  • Canan Üstün and
  • Çiğdem Üner

Background/Objectives: While ancillary tests for brain death diagnosis are not routinely recommended in guidelines, they may be necessary in specific clinical scenarios. Computed tomography angiography (CTA) is particularly advantageous in pediatric...

  • Article
  • Open Access
2,589 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
18,118 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
8 Citations
1,765 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
2 Citations
2,374 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
  • Nola M. Hylton
  • + 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
2,110 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
1 Citations
2,393 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
2 Citations
2,043 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
2,285 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
2,119 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
  • Renuka Sriram
  • + 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
5 Citations
5,352 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
  • Yuri S. Velichko
  • + 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