Announcements

1. “A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging”
by Olanrewaju A. Ogunleye, Harish Raviprakash, Ashlee M. Simmons, Rhasaan T.M. Bovell, Pedro E. Martinez, Jack A. Yanovski, Karen F. Berman, Peter J. Schmidt, Elizabeth C. Jones, Hadi Bagheri et al.
Tomography 2023, 9(1),139-149; https://doi.org/10.3390/tomography9010012
Full text available online: https://www.mdpi.com/2379-139X/9/1/12

2. “Radiation Exposure to Low-Dose Computed Tomography for Lung Cancer Screening: Should We Be Concerned?”
by Chiara Pozzessere, Christophe von Garnier and Catherine Beigelman-Aubry
Tomography 2023, 9(1), 166-177; https://doi.org/10.3390/tomography9010015
Full text available online: https://www.mdpi.com/2379-139X/9/1/15

3. “Diagnostic Management of Gastroenteropancreatic Neuroendocrine Neoplasms: Technique Optimization and Tips and Tricks for Radiologists”
by Fabio Pellegrino, Vincenza Granata, Roberta Fusco, Francesca Grassi, Salvatore Tafuto, Luca Perrucci, Giulia Tralli and Mariano Scaglione
Tomography 2023, 9(1), 217-246 https://doi.org/10.3390/tomography9010018
Full text available online: https://www.mdpi.com/2379-139X/9/1/18

4. “A Novel Approach to Determining Tumor Progression Using a Three-Site Pilot Clinical Trial of Spectroscopic MRI-Guided Radiation Dose Escalation in Glioblastoma”
by Karthik K. Ramesh, Vicki Huang, Jeffrey Rosenthal, Eric A. Mellon, Mohammed Goryawala, Peter B. Barker, Saumya S. Gurbani, Anuradha G. Trivedi, Alexander S. Giuffrida, Eduard Schreibmann et al.
Tomography 2023, 9(1), 362-374; https://doi.org/10.3390/tomography9010029
Full text available online: https://www.mdpi.com/2379-139X/9/1/29

5. “Trauma to the Eye: Diffusion Restriction on MRI as a Surrogate Marker for Blindness”
by Andreas Stahland and Norbert Hosten
Tomography 2023, 9(1), 413-419; https://doi.org/10.3390/tomography9010033
Full text available online: https://www.mdpi.com/2379-139X/9/1/33

6. “Characterizing the Bone Marrow Environment in Advanced-Stage Myelofibrosis during Ruxolitinib Treatment Using PET/CT and MRI: A Pilot Study”
by Stefanie Slot, Cristina Lavini, Gerben J. C. Zwezerijnen, Bouke J. H. Boden, J. Tim Marcus, Marc C. Huisman, Maqsood Yaqub, Ellis Barbé, Mariëlle J. Wondergem, Josée M. Zijlstra et al.
Tomography 2023, 9(2), 459-474; https://doi.org/10.3390/tomography9020038
Full text available online: https://www.mdpi.com/2379-139X/9/2/38

7. “Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials”
by Donna M. Peehl, Cristian T. Badea, Thomas L. Chenevert, Heike E. Daldrup-Link, Li Ding, Lacey E. Dobrolecki, A. McGarry Houghton, Paul E. Kinahan, John Kurhanewicz, Michael T. Lewis et al.
Tomography 2023, 9(2), 657-680; https://doi.org/10.3390/tomography9020053
Full text available online: https://www.mdpi.com/2379-139X/9/2/53

8. “Different Ultrasound Shear Wave Elastography Techniques as Novel Imaging-Based Approaches for Quantitative Evaluation of Hepatic Steatosis—Preliminary Findings”
by Natascha Platz Batista da Silva, Gregor Scharf, Lukas Lürken, Niklas Verloh, Stephan Schleder, Christian Stroszczynski, Ernst Michael Jung and Michael Haimerl
Tomography 2023, 9(2), 681-692; https://doi.org/10.3390/tomography9020054
Full text available online: https://www.mdpi.com/2379-139X/9/2/54

9. “Using Brain Tumor MRI Structured Reporting to Quantify the Impact of Imaging on Brain Tumor Boards”
by Syed A. Abidi, Michael J. Hoch, Ranliang Hu, Gelareh Sadigh, Alfredo Voloschin, Jeffrey J. Olson, Hui-Kuo G. Shu, Stewart G. Neill and Brent D. Weinberg
Tomography 2023, 9(2), 859-870; https://doi.org/10.3390/tomography9020070
Full text available online: https://www.mdpi.com/2379-139X/9/2/70

10. “Can Machine Learning Be Better than Biased Readers”
by Atsuhiro Hibi, Atsuhiro Hibi and Pascal N. Tyrrell
Tomography 2023, 9(3), 901-908; https://doi.org/10.3390/tomography9030074
Full text available online: https://www.mdpi.com/2379-139X/9/3/74