New Advances in Radionuclide Bone Imaging

A special issue of Tomography (ISSN 2379-139X).

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1811

Special Issue Editors


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Guest Editor
1. Ochsner Sports Medicine Institute, Ochsner Clinic Foundation, New Orleans, LA 70121, USA
2. Medical School, The University of Queensland, Brisbane City 4072, Australia
Interests: cartilage repair; joint replacement; arthroscopic assisted techniques; ligament injuries

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Guest Editor
1. Department of Radiology, Nuclear Medicine Faculty, University of California San Diego, San Diego, CA 92182, USA
2. Department of Radiology, Stanford University, Stanford, CA 94305, USA
Interests: nuclear medicine; neuroradiology

Special Issue Information

Dear Colleagues,

With great enthusiasm, we invite researchers across the globe to contribute their findings to this Special Issue of Tomography, aptly titled New Advancements in Radionuclide Bone Imaging. Our team is seeking research that highlights the latest advancements in radionuclide bone imaging technology; this includes, but is not limited to, groundbreaking radiotracers, theranostics, imaging protocols, and the impact of AI in the clinical application of radionuclides in relation to bone scans and processing/interpretation techniques. In addition, reviews on the potential of current radiotracer clinical guidance in navigating therapeutic decisions and outcome predictions are also welcome.

This Special Issue aims to showcase the growing application of radionuclide bone imaging and explores advancements made in the field of nuclear medicine and diagnostic radiology in the hope of offering insight into its current state.

Dr. Deryk G. Jones
Dr. Kristina Hawk
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Tomography is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • radiopharmaceuticals
  • hybrid imaging
  • theranostics
  • quantitative imaging
  • computer-aided diagnosis

Published Papers (1 paper)

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Research

8 pages, 1582 KiB  
Communication
SPECT/CT Radiomics for Differentiating between Enchondroma and Grade I Chondrosarcoma
by Hyukjin Yoon, Woo Hee Choi, Min Wook Joo, Seunggyun Ha and Yong-An Chung
Tomography 2023, 9(5), 1868-1875; https://doi.org/10.3390/tomography9050148 - 16 Oct 2023
Viewed by 1323
Abstract
This study was performed to assess the value of SPECT/CT radiomics parameters in differentiating enchondroma and atypical cartilaginous tumors (ACTs) located in the long bones. Quantitative HDP SPECT/CT data of 49 patients with enchondromas or ACTs in the long bones were retrospectively reviewed. [...] Read more.
This study was performed to assess the value of SPECT/CT radiomics parameters in differentiating enchondroma and atypical cartilaginous tumors (ACTs) located in the long bones. Quantitative HDP SPECT/CT data of 49 patients with enchondromas or ACTs in the long bones were retrospectively reviewed. Patients were randomly split into training (n = 32) and test (n = 17) data, and SPECT/CT radiomics parameters were extracted. In training data, LASSO was employed for feature reduction. Selected parameters were compared with classic quantitative parameters for the prediction of diagnosis. Significant parameters from training data were again tested in the test data. A total of 12 (37.5%) and 6 (35.2%) patients were diagnosed as ACTs in training and test data, respectively. LASSO regression selected two radiomics features, zone-length non-uniformity for zone (ZLNUGLZLM) and coarseness for neighborhood grey-level difference (CoarsenessNGLDM). Multivariate analysis revealed higher ZLNUGLZLM as the only significant independent factor for the prediction of ACTs, with sensitivity and specificity of 85.0% and 58.3%, respectively, with a cut-off value of 191.26. In test data, higher ZLNUGLZLM was again associated with the diagnosis of ACTs, with sensitivity and specificity of 83.3% and 90.9%, respectively. HDP SPECT/CT radiomics may provide added value for differentiating between enchondromas and ACTs. Full article
(This article belongs to the Special Issue New Advances in Radionuclide Bone Imaging)
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