» Articles » PMID: 32179675

The Intelligent Knife (iKnife) and Its Intraoperative Diagnostic Advantage for the Treatment of Cervical Disease

Abstract

Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld diathermy device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

Citing Articles

Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.

Seidinger A, Silva F, Euzebio M, Krieger A, Meidanis J, Gutierrez J Biomedicines. 2024; 12(11).

PMID: 39595159 PMC: 11592165. DOI: 10.3390/biomedicines12112593.


Machine learning approach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry.

Abbate J, Mangraviti D, Brunetti B, Cafarella C, Rigano F, Iaria C Anal Bioanal Chem. 2024; 417(2):373-388.

PMID: 39562368 DOI: 10.1007/s00216-024-05656-4.


Testing of rapid evaporative mass spectrometry for histological tissue classification and molecular diagnostics in a multi-site study.

Kaufmann M, Vaysse P, Savage A, Kooreman L, Janssen N, Varma S Br J Cancer. 2024; 131(8):1298-1308.

PMID: 39294437 PMC: 11473823. DOI: 10.1038/s41416-024-02739-y.


Challenges of Spatially Resolved Metabolism in Cancer Research.

Lane A, Higashi R, W-M Fan T Metabolites. 2024; 14(7).

PMID: 39057706 PMC: 11278851. DOI: 10.3390/metabo14070383.


High-throughput lipidomic profiles sampled with electroporation-based biopsy differentiate healthy skin, cutaneous squamous cell carcinoma, and basal cell carcinoma.

Louie L, Wise J, Berl A, Shir-Az O, Kravtsov V, Yakhini Z Skin Res Technol. 2024; 30(5):e13706.

PMID: 38721854 PMC: 11079884. DOI: 10.1111/srt.13706.


References
1.
Martinez A, Mery E, Filleron T, Boileau L, Ferron G, Querleu D . Accuracy of intraoperative pathological examination of SLN in cervical cancer. Gynecol Oncol. 2013; 130(3):525-9. DOI: 10.1016/j.ygyno.2013.01.023. View

2.
Tahseen S, Reid P . Psychological distress associated with colposcopy: patients' perception. Eur J Obstet Gynecol Reprod Biol. 2007; 139(1):90-4. DOI: 10.1016/j.ejogrb.2007.09.001. View

3.
Alexander J, Gildea L, Balog J, Speller A, McKenzie J, Muirhead L . A novel methodology for in vivo endoscopic phenotyping of colorectal cancer based on real-time analysis of the mucosal lipidome: a prospective observational study of the iKnife. Surg Endosc. 2016; 31(3):1361-1370. PMC: 5315709. DOI: 10.1007/s00464-016-5121-5. View

4.
Baenke F, Peck B, Miess H, Schulze A . Hooked on fat: the role of lipid synthesis in cancer metabolism and tumour development. Dis Model Mech. 2013; 6(6):1353-63. PMC: 3820259. DOI: 10.1242/dmm.011338. View

5.
Landoni F, Maneo A, Colombo A, Placa F, Milani R, Perego P . Randomised study of radical surgery versus radiotherapy for stage Ib-IIa cervical cancer. Lancet. 1997; 350(9077):535-40. DOI: 10.1016/S0140-6736(97)02250-2. View