ReviewCurrent medical imaging2025
Advancements in Cancer Care by Exploring Multimodality Imaging Techniques and their Applications.
Review in Current medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advancements in multimodality imaging have significantly improved cancer diagnosis, treatment planning, and patient management. This review explores the integration of imaging techniques, such as MRI, CT, and PET, alongside emerging technologies like radiomics and AI to provide comprehensive insights into tumor characteristics. By combining imaging data with laboratory tests, clinicians can achieve more accurate cancer staging and personalized treatment strategies. Noninvasive image-guided therapies and early detection through screening programs have shown promise in reducing mortality and treatment-related side effects. This review highlights the importance of collaboration between academia, biotechnology, and the pharmaceutical industry to drive innovation in cancer imaging. Future advancements in imaging technologies, combined with interdisciplinary collaborations, hold promise for further improving cancer diagnosis, treatment, and patient outcomes, with AI-driven tools further enhancing precision oncology and patient care.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.