The surgical intelligent knife distinguishes normal, borderline and malignant gynaecological tissues using rapid evaporative ionisation mass spectrometry (REIMS).
The surgical intelligent knife distinguishes normal, borderline and malignant gynaecological tissues using rapid evaporative ionisation mass spectrometry (REIMS).
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DOI:
10.1038/s41416-018-0048-3
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发表时间:
2018-05
影响因子:
8.8
通讯作者:
Ghaem-Maghami S
中科院分区:
文献类型:
--
作者:
Phelps DL;Balog J;Gildea LF;Bodai Z;Savage A;El-Bahrawy MA;Speller AV;Rosini F;Kudo H;McKenzie JS;Brown R;Takáts Z;Ghaem-Maghami S
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. 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. 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). 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.
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影响因子:
4.6
作者:
Dória ML;McKenzie JS;Mroz A;Phelps DL;Speller A;Rosini F;Strittmatter N;Golf O;Veselkov K;Brown R;Ghaem-Maghami S;Takats Z
通讯作者:
Takats Z
影响因子:
4.7
作者:
Chi, Dennis S.;Eisenhauer, Eric L.;Barakat, Richard R.
通讯作者:
Barakat, Richard R.
影响因子:
4.7
作者:
Chang, Suk-Joon;Hodeib, Melissa;Bristow, Robert E.
通讯作者:
Bristow, Robert E.
影响因子:
17.1
作者:
Balog, Julia;Sasi-Szabo, Laszlo;Takats, Zoltan
通讯作者:
Takats, Zoltan
DOI:
10.1186/s13058-017-0845-2
发表时间:
2017-05-23
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
St John ER;Balog J;McKenzie JS;Rossi M;Covington A;Muirhead L;Bodai Z;Rosini F;Speller AVM;Shousha S;Ramakrishnan R;Darzi A;Takats Z;Leff DR
通讯作者:
Leff DR