ArticleBritish journal of cancer2018
The surgical intelligent knife distinguishes normal, borderline and malignant gynaecological tissues using rapid evaporative ionisation mass spectrometry (REIMS).
Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04461470 (6-Month Outcomes of Pulsed Electro Resonance to Nucleotide Sources Revealing Cell Sensory Experience in Pain Relief, Stress Relief and Anti-ageing Homeostatic Restoration), which is not on this map. Cited by 55 papers, 2 of them syntheses that pooled it.
What it found
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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.
6-Month Outcomes of Pulsed Electro Resonance to Nucleotide Sources Revealing Cell Sensory Experience in Pain Relief, Stress Relief and Anti-ageing Homeostatic Restoration
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Rapid evaporative ionization mass spectrometry in surgery: a systematic review.The British journal of surgery · 2025Pooled it
- Direct Sampling Mass Spectrometry Analysis for the Assessment of Wounds: A Systematic Review.International wound journal · 2025Pooled it
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Metabolomics and Biomarker Discovery.Advances in experimental medicine and biology · 2026Review
- Minimally Invasive Chemical Biopsy Needle with Self-Wettable Extraction Phase For In Vivo Tissue Sampling During Medical Procedures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Taguchi Design of Experiments Approach for Untargeted Metabolomics Sample Preparation Optimization.Journal of biomolecular techniques : JBT · 2025Article
- Assessment and interpretation of the status of surgical margins following resective surgery for head and neck squamous cancer: a narrative review.World journal of surgical oncology · 2025Review
- Acute perioperative alterations in metabolism: A pilot study using mass spectrometry-based metabolomics.Surgery · 2025Article
- Machine learning approach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry.Analytical and bioanalytical chemistry · 2025Article
- Identification strategy of wild and cultivated Astragali Radix based on REIMS combined with two-dimensional LC-MS.NPJ science of food · 2024Article
- Testing of rapid evaporative mass spectrometry for histological tissue classification and molecular diagnostics in a multi-site study.British journal of cancer · 2024Article
- Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer UsingInternational journal of molecular sciences · 2024Article
- Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room.International journal of computer assisted radiology and surgery · 2024Article
- Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications.Journal of separation science · 2024Review
- Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy.Cancers · 2023Review
- Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target.Nature metabolism · 2023Article
- Identification of tumor tissue in thin pathological samples via femtosecond laser-induced breakdown spectroscopy and machine learning.Scientific reports · 2023Article
- Lipidome Analysis of Oropharyngeal Tumor Tissues Using Nanosecond Infrared Laser (NIRL) Tissue Sampling and Subsequent Mass Spectrometry.International journal of molecular sciences · 2023Article
- Portable mass spectrometry system: instrumentation, applications, and path to 'omics analysis.Proteomics · 2022Review
- Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSurvival from ovarian cancer (OC) is improved with surgery, but surgery can be complex and tumour identification, especially for borderline ovarian tumours (BOT), is challenging. The Rapid Evaporative Ionisation Mass Spectrometric (REIMS) technique reports tissue histology in real-time by analysing aerosolised tissue during electrosurgical dissection.
methodsAerosol produced during diathermy of tissues was sampled with the REIMS interface. Histological diagnosis and mass spectra featuring complex lipid species populated a reference database on which principal component, linear discriminant and leave-one-patient-out cross-validation analyses were performed.
resultsA total of 198 patients provided 335 tissue samples, yielding 3384 spectra. Cross-validated OC classification vs separate normal tissues was high (97·4% sensitivity, 100% specificity). BOT were readily distinguishable from OC (sensitivity 90.5%, specificity 89.7%). Validation with fresh tissue lead to excellent OC detection (100% accuracy). Histological agreement between iKnife and histopathologist was very good (kappa 0.84, P < 0.001, z = 3.3). Five predominantly phosphatidic acid (PA(36:2)) and phosphatidyl-ethanolamine (PE(34:2)) lipid species were identified as being significantly more abundant in OC compared to normal tissue or BOT (P < 0.001, q < 0.001).
conclusionsThe REIMS iKnife distinguishes gynaecological tissues by analysing mass-spectrometry-derived lipidomes from tissue diathermy aerosols. Rapid intra-operative gynaecological tissue diagnosis may improve surgical care when histology is unknown, leading to personalised operations tailored to the individual.
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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.