Innovative Approaches of Multimodal Imaging of Cancer Characteristics in Nuclear Medicine
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 28
Special Issue Editors
Interests: preclinical imaging; cancer; neuroinflammation; radiotracer development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multimodal imaging approaches, such as PET/CT and PET/MRI, are well-established, non-invasive methods of clinical cancer diagnosis. The use of other imaging techniques, such as ultrasound or optical imaging, in combination with PET or SPECT can pave the way to create quantitative maps of molecular, hemodynamic, biomechanical, electrophysiological, and structural parameters beyond current clinical standards. The combination of anatomical, functional, and molecular imaging contributes significantly to a better understanding of cancer biology—and to improved patient care—compared to using a technique alone, which is becoming increasingly evident as research advances.
The diversity of cancers themselves, as well as the inhomogeneous characteristics of metastases and intratumoral heterogeneity, pose critical challenges for their diagnosis and therapy. Multimodal imaging, with its combined strengths, can therefore offer significant benefits. However, further research and novel approaches, as well as their translation into clinical practice are still needed in order to fully exploit the added value of multimodal imaging in delivering more impactful diagnosis of malignancies.
This Special Issue focuses on the exploration of innovative multimodal imaging techniques, refined reconstruction methodologies, the representation of tumor heterogeneity, and combined functional image analyses in both clinical and preclinical contexts.
We welcome both original research articles and reviews. Research areas may include (but are not limited to) the following:
- Reconstruction of PET/SPECT images in combination with other imaging approaches;
- Improving Pharmacokinetic analyses by combined imaging techniques;
- Multimodal imaging analyses in metastatic and primary tumor lesions;
- Functional imaging as fMRI combined with PET/SPECT;
- Multimodal imaging probes;
- Preclinical and clinical evaluations;
- Tumor segmentation and maps;
- Multimodal voxel-wise analysis.
We look forward to receiving your contributions.
Dr. Daniel Gündel
Dr. Sophie Stotz
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 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. Cancers is an international peer-reviewed open access semimonthly 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 2900 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
- multimodal imaging
- molecular imaging
- PET
- SPECT
- MRI
- CT
- ultrasound
- optical imaging
- cancer
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