ReviewJournal of personalized medicine2023
Role of Nuclear Sentinel Lymph Node Mapping Compared to New Alternative Imaging Methods.
Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 9 citations in OpenAlex.
- [Sentinel node biopsy and lymphatic mapping from a nuclear medicine perspective: principles, methods and experiences in Szeged].Magyar onkologia · 2026Review
- Article
- Nanoplatforms for Sentinel and Tumor-Draining Lymph Node Mapping: From Visualization to Pathway-Informed Staging.Advanced healthcare materials · 2026Review
- Advancements in nanobiosensors for early cancer detection, challenges, treatment, and future prospects: a comprehensive review.Discover nano · 2026Review
- Can we now save the neck of OSCC T1-T2 patients? A narrative review of whether experimental techniques are on the way to clinical application.Exploration of targeted anti-tumor therapy · 2026Review
- Artificial intelligence-assisted magnetic resonance lymphography for evaluation of micro- and macro-sentinel lymph node metastasis in breast cancer.Materials today. Bio · 2025Article
- Setting-up a training programme for intraoperative molecular imaging and sentinel node mapping: how to teach? How to learn?European journal of nuclear medicine and molecular imaging · 2024Review
- The Role of Imaging of Lymphatic System to Prevent Cancer Related Lymphedema.Bioengineering (Basel, Switzerland) · 2023Review
- Automated 3D Ultrasound as an Adjunct to Screening Mammography Programs in Dense Breast: Literature Review and Metanalysis.Journal of personalized medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the emergence of sentinel node technology, many patients can be staged histopathologically using lymphatic mapping and selective lymphadenectomy. Structural imaging by using US, CT and MR permits precise measurement of lymph node volume, which is strongly associated with neoplastic involvement. Sentinel lymph node detection has been an ideal field of application for nuclear medicine because anatomical data fails to represent the close connections between the lymphatic system and regional lymph nodes, or, more specifically, to identify the first draining lymph node. Hybrid imaging has demonstrated higher accuracy than standard imaging in SLN visualization on images, but it did not change in terms of surgical detection. New alternatives without ionizing radiations are emerging now from "non-radiological" fields, such as ophthalmology and dermatology, where fluorescence or opto-acoustic imaging, for example, are widely used. In this paper, we will analyze the advantages and limits of the main innovative methods in sentinel lymph node detection, including innovations in lymphoscintigraphy techniques that persist as the gold standard to date.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.