Affiliation:
1. Saint Petersburg State University; National Medical Research Center of Oncology named after N.N. Petrov, Ministry of Health of Russia
2. Saint Petersburg State University
3. I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia
Abstract
Objective: сomparative assessment of the diagnostic efficiency of magnetic resonance imaging (MRI) and contrastenhanced ultrasound examination in the primary diagnosis of breast cancer based on propensity score matching.Materials and methods. From 2017 to 2018 on the basis of the National Medical Research Center of Oncology named after N.N. Petrov 176 women with various complaints of breast diseases were examined using MRI, which was carried out on a Magnetom Aera (Siemens) and Signa Excite HD (GE) apparatus with a magnetic field strength of 1.5 T and special surface breast coil. From 2018 to 2019 on the basis of the National Medical Research Center of Oncology named after N.N. Petrov 277 women with various complaints of breast diseases were examined using multiparametric ultrasonography (US) consisting of gray-scale US, color Doppler US, strain US, and contrast enhanced US, performed on a Hitachi Hi Vision Ascendus ultrasound scanner using a linear transducer in the frequency range 5–13 MHz. To verify the lesions, the patients underwent histological or cytological examination. The results of ultrasound examination, histological and cytological conclusions were entered into the database containing 453 diagnostic records: 277 were obtained using the multiparametric US and 176 – using the MRI method. To solve the problem, the propensity score matching algorithm was used: building a model, calculating conditional probabilities, balancing, checking the balance quality, evaluating efficiency. The main and auxiliary characteristics of the methods of MRI and contrast-enhanced ultrasound before and after the selection of pairs are given in the work.Conclusion. The proposed algorithm is implemented in the R language. The results of the program are that both diagnostic methods showed excellent results, 95 % confidence intervals almost completely overlap, from which a preliminary conclusion should be made that these methods are equivalent in efficiency in the primary diagnosis of breast cancer.
Publisher
Publishing House ABV Press
Subject
Pharmacology (medical),Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Oncology,Surgery
Reference16 articles.
1. Busko E.A. Dynamic contrast-enhanced magnetic resonance imaging in patients with breast pathology. Certificate of registration of an electronic resource No. 2019621027 dated 17.06.2019. (In Russ.).
2. Moskalev A.V., Gladkikh A.A., Alyshevskaya A.A. Evidence-based medicine: opportunities of the propensity score matching (psm) method in eliminating selection bias in retrospective neurosurgical studies. Voprosy neyrokhirurgii im N.N. Burdenko = Burdenko’s Journal of Neurosurgery 2018;82(1):52–8. (In Russ.). DOI: 10.17116/neiro201882152-58.
3. D’Agostino R.B. Propensity score methods for bias reduction in the comparison of a treatment to a nonrandomized control group. Stat Med 1998;17(19): 2265–81. DOI: 10.1002/(sici)1097- 0258(19981015)17:193.0.co;2-b.
4. Grzhibovsky A.M., Ivanov S.V., Gorbatova M.A. Case-control studies in health sciences. Nauka i zdravookhraneniye = Science and healthcare 2015;(4):5–17. (In Russ.).
5. Krasko O. Manual on the analysis of biomedical data (with examples in R). Available at: https://www.researchgate.net/ publication/312126731_Posobie_po_analizu_mediko-biologiceskih_dannyh_s_ primerami_v_R. (In Russ.).