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Tomography, Volume 9, Issue 3

2023 June - 23 articles

Cover Story: Preclinical imaging is increasingly being used in translational cancer research to assess the efficacy of therapeutic strategies, detect and characterize the heterogeneity of tumors, and to validate imaging biomarkers. However, unlike clinical imaging, there are no standard preclinical acquisition protocols nor widely accepted reporting standards. In this work, we describe a consensus of preclinical imaging metadata needs across a range of oncologic preclinical imaging experiment workflows to enable the organization of sustainable database image archives that support queries and computational/statistical analysis. We anticipate that better reporting standards will promote open science, standardization, and reproducibility in preclinical imaging, as well as facilitate integration with clinical imaging arms of co-clinical trials. View this paper
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Articles (23)

  • Review
  • Open Access
1 Citations
14,109 Views
34 Pages

Tips and Tricks in Thoracic Radiology for Beginners: A Findings-Based Approach

  • Alessandra Borgheresi,
  • Andrea Agostini,
  • Luca Pierpaoli,
  • Alessandra Bruno,
  • Tommaso Valeri,
  • Ginevra Danti,
  • Eleonora Bicci,
  • Michela Gabelloni,
  • Federica De Muzio and
  • Andrea Giovagnoni
  • + 8 authors

14 June 2023

This review has the purpose of illustrating schematically and comprehensively the key concepts for the beginner who approaches chest radiology for the first time. The approach to thoracic imaging may be challenging for the beginner due to the wide sp...

  • Article
  • Open Access
9 Citations
4,437 Views
16 Pages

Sinogram Inpainting with Generative Adversarial Networks and Shape Priors

  • Emilien Valat,
  • Katayoun Farrahi and
  • Thomas Blumensath

13 June 2023

X-ray computed tomography is a widely used, non-destructive imaging technique that computes cross-sectional images of an object from a set of X-ray absorption profiles (the so-called sinogram). The computation of the image from the sinogram is an ill...

  • Article
  • Open Access
2,742 Views
13 Pages

Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis

  • Bruno Barufaldi,
  • Yann N. G. da Nobrega,
  • Giulia Carvalhal,
  • Joao P. V. Teixeira,
  • Telmo M. Silva Filho,
  • Thais G. do Rego,
  • Yuri Malheiros,
  • Raymond J. Acciavatti and
  • Andrew D. A. Maidment

10 June 2023

In breast tomosynthesis, multiple low-dose projections are acquired in a single scanning direction over a limited angular range to produce cross-sectional planes through the breast for three-dimensional imaging interpretation. We built a next-generat...

  • Review
  • Open Access
7 Citations
5,654 Views
10 Pages

Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative Review

  • Maham Siddique,
  • Michael Liu,
  • Phuong Duong,
  • Sachin Jambawalikar and
  • Richard Ha

6 June 2023

Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use risk factors such as demographics and patient history to guide policy and assess ris...

  • Review
  • Open Access
15 Citations
6,931 Views
16 Pages

Advances in Focused Ultrasound for the Treatment of Brain Tumors

  • Rohan Rao,
  • Anjali Patel,
  • Kunal Hanchate,
  • Eric Robinson,
  • Aniela Edwards,
  • Sanjit Shah,
  • Dominique Higgins,
  • Kevin J. Haworth,
  • Brandon Lucke-Wold and
  • Soma Sengupta
  • + 1 author

29 May 2023

Employing the full arsenal of therapeutics to treat brain tumors is limited by the relative impermeability of the blood–brain and blood–tumor barriers. In physiologic states, the blood–brain barrier serves a protective role by passi...

  • Article
  • Open Access
7 Citations
5,416 Views
11 Pages

Spontaneous Soft Tissue Hematomas in Patients with Coagulation Impairment: Safety and Efficacy of Transarterial Embolization

  • Davide Fior,
  • Stefano Di Provvido,
  • Davide Leni,
  • Rocco Corso,
  • Lorenzo Paolo Moramarco,
  • Matteo Pileri,
  • Rosario Francesco Grasso,
  • Domiziana Santucci and
  • Eliodoro Faiella

28 May 2023

The aim of this study is to report the authors’ experience of percutaneous transarterial embolization (TAE) in patients with spontaneous soft tissue hematomas (SSTH) and active bleeding with anticoagulation impairment. The study retrospectively...

  • Review
  • Open Access
18 Citations
7,843 Views
12 Pages

Extended Reality in Diagnostic Imaging—A Literature Review

  • Paulina Kukla,
  • Karolina Maciejewska,
  • Iga Strojna,
  • Małgorzata Zapał,
  • Grzegorz Zwierzchowski and
  • Bartosz Bąk

24 May 2023

The utilization of extended reality (ER) has been increasingly explored in the medical field over the past ten years. A comprehensive analysis of scientific publications was conducted to assess the applications of ER in the field of diagnostic imagin...

  • Article
  • Open Access
3 Citations
5,585 Views
9 Pages

23 May 2023

Introduction: Imaging surveillance of contrast-enhancing lesions after the treatment of malignant brain tumors with radiation is plagued by an inability to reliably distinguish between tumor recurrence and treatment effects. Magnetic resonance perfus...

  • Article
  • Open Access
2 Citations
3,298 Views
10 Pages

Applying a Radiation Therapy Volume Analysis Pipeline to Determine the Utility of Spectroscopic MRI-Guided Adaptive Radiation Therapy for Glioblastoma

  • Anuradha G. Trivedi,
  • Su Hyun Kim,
  • Karthik K. Ramesh,
  • Alexander S. Giuffrida,
  • Brent D. Weinberg,
  • Eric A. Mellon,
  • Lawrence R. Kleinberg,
  • Peter B. Barker,
  • Hui Han and
  • Eduard Schreibmann
  • + 2 authors

21 May 2023

Accurate radiation therapy (RT) targeting is crucial for glioblastoma treatment but may be challenging using clinical imaging alone due to the infiltrative nature of glioblastomas. Precise targeting by whole-brain spectroscopic MRI, which maps tumor...

  • Article
  • Open Access
10 Citations
4,407 Views
11 Pages

Comparison of CT and Dixon MR Abdominal Adipose Tissue Quantification Using a Unified Computer-Assisted Software Framework

  • Li-Yueh Hsu,
  • Zara Ali,
  • Hadi Bagheri,
  • Fahimul Huda,
  • Bernadette A. Redd and
  • Elizabeth C. Jones

20 May 2023

Purpose: Reliable and objective measures of abdominal fat distribution across imaging modalities are essential for various clinical and research scenarios, such as assessing cardiometabolic disease risk due to obesity. We aimed to compare quantitativ...

  • Article
  • Open Access
7 Citations
5,726 Views
12 Pages

Quantitative Assessment of Intervertebral Disc Composition by MRI: Sensitivity to Diurnal Variation

  • Hiroyuki Hamaguchi,
  • Maho Kitagawa,
  • Daiki Sakamoto,
  • Ulrich Katscher,
  • Hideki Sudo,
  • Katsuhisa Yamada,
  • Kohsuke Kudo and
  • Khin Khin Tha

16 May 2023

Whether diurnal variation exists in quantitative MRI indices such as the T1rho relaxation time (T1ρ) of the intervertebral disc (IVD) is yet to be explored. This prospective study aimed to evaluate the diurnal variation in T1ρ, apparent diffu...

  • Article
  • Open Access
1 Citations
3,100 Views
10 Pages

16 May 2023

Coronary computed tomography angiography (CCTA) is a medical imaging technique that produces detailed images of the coronary arteries. Our work focuses on the optimization of the prospectively ECG-triggered scan technique, which delivers the radiatio...

  • Article
  • Open Access
4 Citations
3,800 Views
9 Pages

Frequency and Pattern of MRI Diffusion Restrictions after Diagnostic Catheter Neuroangiography

  • Elisabeth Kesseler,
  • Svenja Tafelmeier,
  • Omid Nikoubashman,
  • Anca-Maria Iancu,
  • João Pinho and
  • Martin Wiesmann

12 May 2023

(1) Background: We investigated the frequency, location, and lesion size of diffusion restrictions (DR) in magnetic resonance imaging (MRI) of asymptomatic patients after diagnostic angiography and assessed risk factors for their occurrence. (2) Meth...

  • Article
  • Open Access
3 Citations
4,605 Views
15 Pages

Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging

  • Stephen M. Moore,
  • James D. Quirk,
  • Andrew W. Lassiter,
  • Richard Laforest,
  • Gregory D. Ayers,
  • Cristian T. Badea,
  • Andriy Y. Fedorov,
  • Paul E. Kinahan,
  • Matthew Holbrook and
  • Kooresh I. Shoghi
  • + 17 authors

11 May 2023

Preclinical imaging is a critical component in translational research with significant complexities in workflow and site differences in deployment. Importantly, the National Cancer Institute’s (NCI) precision medicine initiative emphasizes the...

  • Article
  • Open Access
2 Citations
2,865 Views
14 Pages

Extension of Lung Damage at Chest Computed Tomography in Severely Ill COVID-19 Patients Treated with Interleukin-6 Receptor Blockers Correlates with Inflammatory Cytokines Production and Prognosis

  • Lucio Calandriello,
  • Enrico De Lorenzis,
  • Giuseppe Cicchetti,
  • Rosa D’Abronzo,
  • Amato Infante,
  • Federico Castaldo,
  • Annemilia Del Ciello,
  • Alessandra Farchione,
  • Elisa Gremese and
  • Anna Rita Larici
  • + 4 authors

11 May 2023

Elevated inflammatory markers are associated with severe coronavirus disease 2019 (COVID-19), and some patients benefit from Interleukin (IL)-6 pathway inhibitors. Different chest computed tomography (CT) scoring systems have shown a prognostic value...

  • Article
  • Open Access
3 Citations
2,812 Views
14 Pages

Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural Network

  • Timothy J. Allen,
  • Leah C. Henze Bancroft,
  • Kang Wang,
  • Ping Ni Wang,
  • Orhan Unal,
  • Lloyd D. Estkowski,
  • Ty A. Cashen,
  • Ersin Bayram,
  • Roberta M. Strigel and
  • James H. Holmes

10 May 2023

Graphically prescribed patient-specific imaging volumes and local pre-scan volumes are routinely placed by MRI technologists to optimize image quality. However, manual placement of these volumes by MR technologists is time-consuming, tedious, and sub...

  • Communication
  • Open Access
9 Citations
4,453 Views
12 Pages

Although the clinical benefits of computed tomography (CT) are undoubtedly high, radiation doses received by patients are also relatively high; therefore, radiation dose management is mandatory to optimize CT radiation doses and prevent excessive rad...

  • Article
  • Open Access
5 Citations
3,177 Views
13 Pages

Mutant Isocitrate Dehydrogenase 1 Expression Enhances Response of Gliomas to the Histone Deacetylase Inhibitor Belinostat

  • Chi-Ming Chang,
  • Karthik K. Ramesh,
  • Vicki Huang,
  • Saumya Gurbani,
  • Lawrence R. Kleinberg,
  • Brent D. Weinberg,
  • Hyunsuk Shim and
  • Hui-Kuo G. Shu

Histone deacetylase inhibitors (HDACis) are drugs that target the epigenetic state of cells by modifying the compaction of chromatin through effects on histone acetylation. Gliomas often harbor a mutation of isocitrate dehydrogenase (IDH) 1 or 2 that...

  • Review
  • Open Access
2 Citations
4,060 Views
11 Pages

30 April 2023

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 i...

  • Review
  • Open Access
23 Citations
14,072 Views
22 Pages

Computed Tomography Urography: State of the Art and Beyond

  • Michaela Cellina,
  • Maurizio Cè,
  • Nicolo’ Rossini,
  • Laura Maria Cacioppa,
  • Velio Ascenti,
  • Gianpaolo Carrafiello and
  • Chiara Floridi

30 April 2023

Computed Tomography Urography (CTU) is a multiphase CT examination optimized for imaging kidneys, ureters, and bladder, complemented by post-contrast excretory phase imaging. Different protocols are available for contrast administration and image acq...

  • Article
  • Open Access
2,418 Views
8 Pages

Can Machine Learning Be Better than Biased Readers?

  • Atsuhiro Hibi,
  • Rui Zhu and
  • Pascal N. Tyrrell

28 April 2023

Background: Training machine learning (ML) models in medical imaging requires large amounts of labeled data. To minimize labeling workload, it is common to divide training data among multiple readers for separate annotation without consensus and then...

  • Case Report
  • Open Access
1 Citations
2,553 Views
7 Pages

COVID-19 Pneumonia with Migratory Pattern in Agammaglobulinemic Patients: A Report of Two Cases and Review of Literature

  • Melania Degli Antoni,
  • Verena Crosato,
  • Francesca Pennati,
  • Andrea Borghesi,
  • Graziella Cristini,
  • Roberto Allegri,
  • Susanna Capone,
  • Alberto Bergamasco,
  • Annarosa Soresina and
  • Emanuele Focà
  • + 5 authors

23 April 2023

X-linked agammaglobulinemia (XLA) is a primary immunodeficiency characterized by marked reduction in serum immunoglobulins and early-onset infections. Coronavirus Disease-2019 (COVID-19) pneumonia in immunocompromised patients presents clinical and r...

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Tomography - ISSN 2379-139X