scholarly journals LAPAROSCOPIC SURGERY IN TREATMENT OF ENDOMETRIAL CANCER (RESULTS OF 7-YEAR CLINICAL EXPERIENCE AT THE N.N. PETROV NATIONAL MEDICAL RESEARCH ONCOLOGY CENTER)

2017 ◽  
Vol 13 (3) ◽  
pp. 73-81 ◽  
Author(s):  
I. V. Berlev ◽  
A. F. Urmancheeva ◽  
E. A. Nekrasova ◽  
E. A. Ulrikh ◽  
N. A. Mikaya ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Laparoscopic Surgery ◽  
Medical Research ◽  
Clinical Experience ◽  
National Medical ◽  
Oncology Center

scholarly journals Twenty-year experience of examining biopsies of signal lymph nodes in breast cancer

2020 ◽  
Vol 16 (1) ◽  
pp. 12-20 ◽  
Author(s):  
V. F. Semiglazov ◽  
P. V. Krivorotko ◽  
E. K. Zhiltsova ◽  
S. V. Kanaev ◽  
E. S. Trufanova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Diagnostic Accuracy ◽  
Medical Research ◽  
Systemic Therapy ◽  
False Positive ◽  
Ministry Of Health ◽  
National Medical ◽  
Neoadjuvant Systemic Therapy ◽  
Oncology Center

Biopsy of signal (sentinel) lymph nodes (LN) has been performed at the N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia, for almost 20 years. In the first few years, contrast-visual method (1 % blue isosulfan and triphenyl methane control) was used in 640 patients with early (T1–2N0M0) breast cancer. In 150 patients from this cohort, standard axillary dissection was performed irrespectively of the results of signal (sentinel) biopsy. The rate of false positive responses varied between 4.6 and 6.6 %. Since 2012, radioisotope method of visualization of signal LN with intratumor administration of 99mТс-technephyte colloid particles has been used (in 708 patients with T1–3N0M0 breast cancer). This type of signal LN biopsy had the following diagnostic characteristics: sensitivity was 58.9 %, specificity was 96.2 %, diagnostic accuracy was 87.1 %.In parallel with this study, in 2016 a study of diagnostic accuracy and safety of biopsy of axillary LN after neoadjuvant systemic therapy was started. The study included 263 patients with T1N1–3M0, T2–3N0–3M0, T4N0–1M0 breast cancer. To evaluate clinical status of axillary LN, ultrasound, single-photon emission computed tomography, mammography at baseline and after completion of neoadjuvant chemotherapy ± targeted therapy (trastuzumab) were performed. In some patients, in the recent years a double method of signal LN labeling (radioisotope and fluorescent methods) was used.In patients with baseline cN+-status, the rate of false positive signal LN biopsy conclusions was 13.6 %, in patients with baseline cN0-status it was 7.7 %.The study of double contrast of axillary LN and targeted label of metastatic LN prior to neoadjuvant systemic therapy continues. In total, various modifications of biopsy of signal LN were performed in 2,000 patients with breast cancer.The study protocol was approved by the biomedical ethics committee of N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia.All patients gave written informed consent to participate in the study.

METHODS OF MULTICLASSICATION OF BONE MARROW CELLS FOR THE DIAGNOSIS OF ACUTE LEUKEMIA AND MINIMAL RESIDUAL DISEASE (ON THE MATERIALS OF THE LABORATORY OF HEMATOPOIESIS OF N. N. BLOKHIN NATIONAL MEDICAL RESEARCH CENTER OF ONCOLOGY)

2020 ◽  
pp. 155-158
Author(s):  
Валентина Викторовна Дмитриева ◽  
Николай Николаевич Тупицын ◽  
Евгений Валерьевич Поляков ◽  
Софья Сергеевна Денисюк
Keyword(s):  
Bone Marrow ◽  
Acute Leukemia ◽  
Medical Research ◽  
Bone Marrow Cells ◽  
Residual Disease ◽  
Binary Classification ◽  
National Medical ◽  
Cell Class ◽  
Minimal Residual ◽  
Marrow Cells

Применение методов и средств цифровой обработки изображений при распознавании типов клеток крови и костного мозга для повышения качества диагностики острых лейкозов является актуальной научно-технической задачей, отвечающей стратегии развития технологий искусственного интеллекта в медицине. В работе предложен подход к мультиклассификации клеток костного мозга при диагностике острых лейкозов и минимальной остаточной болезни. Для проведения экспериментальных исследований сформирована выборка из 3284 изображений клеток, представленных Лабораторией гемопоэза Национального медицинского исследовательского центра онкологии им. Н.Н. Блохина. Предложенный подход к мультиклассификации клеток костного мозга основан на бинарной модели классификации для каждого из исследуемых классов относительно остальных. В рассматриваемой работе бинарная классификация выполняется методом опорных векторов. Метод мультиклассификации был программно реализован с применением интерпретатора Python 3.6.9. Входными данными программы служат файлы формата *.csv с таблицами морфологических, цветовых, текстурных признаков для каждой из клеток используемой выборки. В выборке представлено девять типов клеток костного мозга. Выходными данными программы мультиклассификации являются значения точности классификации на тестовой выборке, которые отражают совпадение прогнозируемого класса клетки с фактическим (верифицированным) классом клетки. “Эксперимент показал следующие результаты: точность мультиклассификации рассматриваемых типов клеток в среднем составила: 87% на тестовом наборе, 88% на обучающем наборе данных. Проведенное исследование является предварительным. В дальнейшем планируется увеличить число классов клеток, объем выборок различных типов клеток и с уточнением результатов мультиклассификации The use of methods and means of digital image processing in the recognition of types of blood cells and bone marrow to improve the quality of diagnosis of acute leukemia is an urgent scientific and technical task that meets the strategy for the development of artificial intelligence technologies in medicine. The paper proposes an approach to the multiclassification of bone marrow cells in the diagnosis of acute leukemia and minimal residual disease. For experimental studies, a sample of 3284 images of cells was formed, submitted by the Hematopoiesis Laboratory of the National Medical Research Center of Oncology named after V.I. N.N. Blokhin. The proposed approach to the multiclassification of bone marrow cells is based on a binary classification model for each of the studied classes relative to the others. In the work under consideration, binary classification is performed by the support vector machine. The multiclassification method was implemented programmatically using the Python 3.6.9 interpreter. The input data of the program are * .csv files with tables of morphological, color, texture features for each of the cells of the sample used. The sample contains nine types of bone marrow cells. The output data of the multiclassification program are the classification accuracy values on the test sample, which reflect the coincidence of the predicted cell class with the actual (verified) cell class. “The experiment showed the following results: the accuracy of multiclassification of the considered types of cells on average was: 87% on the test set, 88% on the training data set. This study is preliminary. In the future, it is planned to increase the number of classes of cells, the volume of samples of various types of cells and with the refinement of the results of multiclassification

IPILIMUMAB IN PATIENTS WITH DISSEMINATED MELANOMA: THE N.N. PETROV NATIONAL MEDICAL RESEARCH CENTER OF ONCOLOGY EXPANDED ACCESS PROGRAM EXPERIENCE

2018 ◽  
Vol 64 (3) ◽  
pp. 388-393
Author(s):  
Yekaterina Anokhina ◽  
V. Rubinchik ◽  
Yekaterina Yaremenko ◽  
Gulfiya Teletaeva ◽  
Dilorom Latipova ◽  
...  
Keyword(s):  
Overall Survival ◽  
Adverse Events ◽  
Medical Research ◽  
Research Center ◽  
Expanded Access ◽  
Risk Of Death ◽  
National Medical ◽  
Expanded Access Program ◽  
Access Program

Ipilimumab (IPI) provides a ten-year overall survival in almost 20 % of selected patients participated in several phase II-III trials. However, the expanded access program (EAP) looks more like routine practice than like clinical trials& This is why the results of such application could be different. Here we present the long-term follow-up data of single center EAP. Ninety-six patients with disseminated melanoma progressing after at least one lines of drug therapy were included at the N.N. Petrov National Medical Research Center of Oncology. Sixty-seven (70 %) patients had stage IV M1c, 35 patients (36 %) had elevated LDH before initiating IPI therapy. All patients received IPI 3 mg / kg IV every 3 weeks for a maximum of 4 cycles. Totally, 320 cycles (mean - 3.3 per patient) were conducted. Grade 3-4 immuno-mediated adverse events (imAE) observed in 18 (19 %) patients. Three patients died of adverse events, possibly associated with ongoing therapy. The median time to progression was 3 (95 % CI, 2.4 to 3.5) mo., the median overall survival was 13 (95 % CI, 8.3 to17.6) mo. Previous immunotherapy with dendritic cell vaccines decreased the risk of death by 48 % (Log-rank p = 0.049). The wild type BRAF status increased three-year overall survival from 29 to 68 % (p = 0.042). Our data confirms long-term safety and efficacy of IPI in patients with pretreated disseminated melanoma in the close to real practice setting.

scholarly journals Prognostic significance of peritoneal cytology in low-risk endometrial cancer: comparison of laparoscopic surgery and laparotomy

2021 ◽  
Author(s):  
Satoe Fujiwara ◽  
Ruri Nishie ◽  
Shoko Ueda ◽  
Syunsuke Miyamoto ◽  
Shinichi Terada ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Laparoscopic Surgery ◽  
Retrospective Study ◽  
Prognostic Significance ◽  
Low Risk ◽  
Peritoneal Cytology ◽  
Chi Square ◽  
Significant Difference ◽  
Chi Square Test ◽  
Positive Peritoneal Cytology

Abstract Background There is uncertainty surrounding the prognostic value of peritoneal cytology in low-risk endometrial cancer, especially in laparoscopic surgery. The objective of this retrospective study is to determine the prognostic significance of positive peritoneal cytology among patients with low-risk endometrial cancer and to compare it between laparoscopic surgery and conventional laparotomy. Methods From August 2008 to December 2019, all cases of pathologically confirmed stage IA grade 1 or 2 endometrial cancer were reviewed at Osaka Medical College. Statistical analyses used the Chi-square test and the Kaplan–Meier log rank. Results A total of 478 patients were identified: 438 with negative peritoneal cytology (232 who underwent laparotomy and 206 who undertook laparoscopic surgery) and 40 with positive peritoneal cytology (20 who underwent laparotomy and 20 who received laparoscopic surgery). Survival was significantly worse among patients with positive peritoneal cytology compared to patients with negative peritoneal cytology. However, there was no significant difference among patients with negative or positive peritoneal cytology between laparoscopic surgery and laparotomy. Conclusion This retrospective study suggests that, while peritoneal cytology is an independent risk factor in patients with low-risk endometrial cancer, laparoscopic surgery does not influence the survival outcome when compared to laparotomy.

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