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For locally advanced GC, clinical guidelines recommend peritoneal lavage cytology for intraoperative PM detection. Unfortunately, current peritoneal lavage cytology is limited by low sensitivity (&lt;60%). Here the authors established the stimulated Raman molecular cytology (SRMC), a chemical microscopy\u2010based intelligent cytology. The authors firstly imaged 53\u2009951 exfoliated cells in ascites obtained from 80 GC patients (27 PM positive, 53 PM negative). Then, the authors revealed 12 single cell features of morphology and composition that are significantly different between PM positive and negative specimens, including cellular area, lipid protein ratio, etc. Importantly, the authors developed a single cell phenotyping algorithm to further transform the above raw features to feature matrix. Such matrix is crucial to identify the significant marker cell cluster, the divergence of which is finally used to differentiate the PM positive and negative. Compared with histopathology, the gold standard of PM detection, their SRMC method could reach 81.5% sensitivity, 84.9% specificity, and the AUC of 0.85, within 20 minutes for each patient. Together, their SRMC method shows great potential for accurate and rapid detection of PM from GC.<\/jats:p>","DOI":"10.1002\/advs.202300961","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T08:02:02Z","timestamp":1682668922000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI\u2010Assisted Stimulated Raman Molecular Cytology"],"prefix":"10.1002","volume":"10","author":[{"given":"Xun","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Biomechanics and Mechanobiology Ministry of Education Institute of Medical Photonics Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical Engineering Beihang University  100191 Beijing China"},{"name":"School of Engineering Medicine Beihang University  100191 Beijing 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