The invention discloses a detection method for diagnosing the
health condition of
ovarian cancer, and relates to the technical field of biomedical detection.The detection method comprises the steps that a
venous blood sample of a patient is collected and subpackaged into a centrifugal tube, an
exosome precipitation reagent is added, a
blood cell layer is separated, and sterile
exosome suspension and a CTC sample are obtained; capturing
ovarian cancer specific exosomes based on the sterile
exosome suspension, measuring the pressed sinking depth, and calculating the viscoelastic modulus; identifying a star-shaped structure of the
ovarian cancer specific exosome, carrying out proportion quantification, and calculating a topological
malignancy index; based on the customized scanning instruction, space-time modulation Raman scanning is carried out on the CTC sample, an original Raman spectrum space matrix is generated, spectral feature purification is carried out on the original Raman spectrum space matrix, and a
metabolic disorder cell coordinate atlas is generated. According to the method, the star-shaped structure of the ovarian
cancer specific exosome is recognized, the proportion is quantified, the topological
malignancy index is calculated, the limitation of binary interpretation of a traditional marker is broken through, and dynamic gradient monitoring of the canceration process is achieved.