Dataset Information

The surgical intelligent knife distinguishes normal, borderline and malignant gynaecological tissues using rapid evaporative ionisation mass spectrometry (REIMS).

ABSTRACT:

Background

Survival 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.

Methods

Aerosol 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.

Results

A 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).

Conclusions

The 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.

SUBMITTER: Phelps DL

PROVIDER: S-EPMC5959892 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundRe-operation for positive resection margins following breast-conserving surgery occurs frequently (average = 20-25%), is cost-inefficient, and leads to physical and psychological morbidity. Current margin assessment techniques are slow and labour intensive. Rapid evaporative ionisation mass spectrometry (REIMS) rapidly identifies dissected tissues by determination of tissue structural lipid profiles through on-line chemical analysis of electrosurgical aerosol toward real-time margin assessment.MethodsElectrosurgical aerosol produced from ex-vivo and in-vivo breast samples was aspirated into a mass spectrometer (MS) using a monopolar hand-piece. Tissue identification results obtained by multivariate statistical analysis of MS data were validated by histopathology. Ex-vivo classification models were constructed from a mass spectral database of normal and tumour breast samples. Univariate and tandem MS analysis of significant peaks was conducted to identify biochemical differences between normal and cancerous tissues. An ex-vivo classification model was used in combination with bespoke recognition software, as an intelligent knife (iKnife), to predict the diagnosis for an ex-vivo validation set. Intraoperative REIMS data were acquired during breast surgery and time-synchronized to operative videos.ResultsA classification model using histologically validated spectral data acquired from 932 sampling points in normal tissue and 226 in tumour tissue provided 93.4% sensitivity and 94.9% specificity. Tandem MS identified 63 phospholipids and 6 triglyceride species responsible for 24 spectral differences between tissue types. iKnife recognition accuracy with 260 newly acquired fresh and frozen breast tissue specimens (normal n = 161, tumour n = 99) provided sensitivity of 90.9% and specificity of 98.8%. The ex-vivo and intra-operative method produced visually comparable high intensity spectra. iKnife interpretation of intra-operative electrosurgical vapours, including data acquisition and analysis was possible within a mean of 1.80 seconds (SD ±0.40).ConclusionsThe REIMS method has been optimised for real-time iKnife analysis of heterogeneous breast tissues based on subtle changes in lipid metabolism, and the results suggest spectral analysis is both accurate and rapid. Proof-of-concept data demonstrate the iKnife method is capable of online intraoperative data collection and analysis. Further validation studies are required to determine the accuracy of intra-operative REIMS for oncological margin assessment.

Project description:Background: Ascites is the accumulation of fluid within the abdominal cavity. Most women with advanced ovarian cancer and some women with advanced endometrial cancer need repeated drainage for ascites. Guidelines to advise those involved in the drainage of ascites are usually produced locally and are generally not evidence-based. Managing drains that improve the efficacy and quality of the procedure is key in making recommendations that could improve the quality of life (QoL) for women at this critical period of their lives.Objectives: To evaluate the effectiveness and adverse events of different interventions for the management of malignant ascites drainage in the palliative care of women with gynaecological cancer.Search methods: We searched CENTRAL, MEDLINE, and Embase to 4 November 2019. We checked clinical trial registries, grey literature, reports of conferences, citation lists of included studies, and key textbooks for potentially relevant studies.Selection criteria: We included randomised controlled trials (RCTs) of women with malignant ascites with gynaecological cancer. If studies also included women with non-gynaecological cancer, we planned to extract data specifically for women with gynaecological cancers or request the data from trial authors. If this was not possible, we planned to include the study only if at least 50% of participants were diagnosed with gynaecological cancer.Data collection and analysis: Two review authors independently selected studies, extracted data, evaluated the quality of the included studies, compared results, and assessed the certainty of the evidence using Cochrane methodology.Main results: In the original 2010 review, we identified no relevant studies. This updated review included one RCT involving 245 participants that compared abdominal paracentesis and intraperitoneal infusion of catumaxomab versus abdominal paracentesis alone. The study was at high risk of bias in almost all domains. The data were not suitable for analysis. The median time to the first deterioration of QoL ranged from 19 to 26 days in participants receiving paracentesis alone compared to 47 to 49 days among participants receiving paracentesis with catumaxomab infusion (very low-certainty evidence). Adverse events were only reported among participants receiving catumaxomab infusion. The most common severe adverse events were abdominal pain and lymphopenia (157 participants; very low-certainty evidence). There were no data on the improvement of symptoms, satisfaction of participants and caregivers, and cost-effectiveness.Authors' conclusions: Currently, there is insufficient evidence to recommend the most appropriate management of drainage for malignant ascites among women with gynaecological cancer, as there was only very low-certainty evidence from one small RCT at overall high risk of bias.