Recent Advances in Oncology Imaging: 2nd Edition

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 1244

Special Issue Editors

Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
Interests: preclinical cellular and molecular multimodality imaging, with a particular focus on applications in small animal models of breast, kidney, lung, prostate and bladder cancers
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Guest Editor
Department of Radiology, Affiliated Zhongda Hospital, Southeast University, Nanjing, China
Interests: imaging-navigated translational theragnostic research
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Special Issue Information

Dear Colleagues,

Medical imaging is playing an ever-increasing role in clinical, experimental, and translational oncology for population surveillance, patient screening, diagnosis assurance, cancer staging, therapeutic evaluation, prognosis assessment, and development of novel anticancer approaches.

Recent advances in oncologic imaging include the following: (1) multimodality (US, CT, MRI, PET, SPECT, optical imaging) and multiparametric (morphological, functional, metabolic) applications; (2) precision medicine driven by molecular imaging and nano-technologies; (3) theragnostics that utilize molecular imaging to identify cancer patient-specific biomarkers to guide individualized treatment decisions; and (4) radiomics assisted by artificial intelligence, big data analytics, and deep learning for multi-feature characterization. This Special Issue will update and highlight the state of the art with respect to cancer imaging.

Dr. Li Liu
Prof. Dr. Yicheng Ni
Guest Editors

Manuscript Submission Information

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Keywords

  • medical imaging
  • cancer
  • oncology
  • molecular imaging
  • theragnostics

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Published Papers (1 paper)

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Research

13 pages, 3026 KiB  
Article
Value of Spinal Cord Diffusion Imaging and Tractography in Providing Predictive Factors for Tumor Resection in Patients with Intramedullary Tumors: A Pilot Study
by Corentin Dauleac, Timothée Jacquesson, Carole Frindel, Nathalie André-Obadia, François Ducray, Patrick Mertens and François Cotton
Cancers 2024, 16(16), 2834; https://doi.org/10.3390/cancers16162834 - 13 Aug 2024
Viewed by 946
Abstract
This pilot study aimed to investigate the interest of high angular resolution diffusion imaging (HARDI) and tractography of the spinal cord (SC) in the management of patients with intramedullary tumors by providing predictive elements for tumor resection. Eight patients were included in a [...] Read more.
This pilot study aimed to investigate the interest of high angular resolution diffusion imaging (HARDI) and tractography of the spinal cord (SC) in the management of patients with intramedullary tumors by providing predictive elements for tumor resection. Eight patients were included in a prospective study. HARDI images of the SC were acquired using a 3T MRI scanner with a reduced field of view. Opposed phase-encoding directions allowed distortion corrections. SC fiber tracking was performed using a deterministic approach, with extraction of tensor metrics. Then, regions of interest were drawn to track the spinal pathways of interest. HARDI and tractography added value by providing characteristics about the microstructural organization of the spinal white fibers. In patients with SC tumors, tensor metrics demonstrated significant changes in microstructural architecture, axonal density, and myelinated fibers (all, p < 0.0001) of the spinal white matter. Tractography aided in the differentiation of tumor histological types (SC-invaded vs. pushed back by the tumor), and differentiation of the spinal tracts enabled the determination of precise anatomical relationships between the tumor and the SC, defining the tumor resectability. This study underlines the value of using HARDI and tractography in patients with intramedullary tumors, to show alterations in SC microarchitecture and to differentiate spinal tracts to establish predictive factors for tumor resectability. Full article
(This article belongs to the Special Issue Recent Advances in Oncology Imaging: 2nd Edition)
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