Advanced Segmentation in Multimodal Nuclear Imaging of Solid Tumors and Lymphomas: Tools, Challenges, and Clinical Integration
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 5
Special Issue Editors
2. Faculté de Médecine, Université Catholique de Louvain UCLouvain, Ottignies-Louvain-la-Neuve, Belgium
Interests: multimodal nuclear imaging; artificial intelligence in nuclear medicine; radiomics in nuclear medicine; tumor segmentation; segmentation techniques; segmentation tools; outcome prediction; radioligand therapy
2. Department of Radiation Oncology, Cantonal Hospital Winterthur, Winterthur, Switzerland
Interests: lung cancer; prostate cancer; SBRT; radiosurgery
Special Issue Information
Dear Colleagues,
We invite submissions for this Special Issue focusing on the evolving role of segmentation in Multimodal Nuclear Imaging of Solid Tumors and Lymphomas. As personalized medicine and theranostics gain momentum, accurate lesion segmentation has become critical, not only for radiomics and quantitative analysis but also for guiding treatment decisions and monitoring therapeutic response.
Despite technological advances, current segmentation approaches face major challenges, such as limited reproducibility, a lack of standardization, and barriers to clinical integration. The transition from manual or semi-automated techniques to advanced AI-based tools offers exciting opportunities, but it also raises new questions about robustness, transparency, and regulatory validation.
This Special Issue seeks high-quality original research, technical developments, and expert reviews addressing the following topics:
- Tool comparison and standardization (manual vs. semi-automated vs. fully automated);
- Multimodal segmentation (SPECT/CT, PET/CT, PET/MRI, MRI);
- Radiomics, segmentation and prognostication in solid tumors and lymphomas;
- Radiomics, segmentation and prognostication in radioligand therapies;
- Clinical integration, training, and implementation strategies.
We particularly welcome interdisciplinary contributions that demonstrate real-world utility, clinical impact, or translational potential. Join us in shaping the future of oncologic imaging by contributing to this timely and clinically relevant Special Issue.
We look forward to receiving your contributions.
Dr. Ken Kudura
Dr. Robert Förster
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 nuclear imaging
- artificial intelligence in nuclear medicine
- radiomics in nuclear medicine
- tumor segmentation
- segmentation techniques
- segmentation tools
- outcome prediction
- radioligand therapy
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
