28 research outputs found

    Communication and language learning

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    Teknologi Smartphone Android dan Aplikasinya sebagai Pengendali Pintu Air Daerah Aliran Sungai (DAS)

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    Pengoperasian pintu air pada aliran sungai saat ini masih menggunakan sistem manual dengan menggunakan campur tangan tenaga manusia untuk pengendali buka tutupnya. Hal ini mendorong peneliti untuk melakukan penelitian dengan sistem kendali berbasis smartphone berbasis android. Dalam penelitian ini penulis menggunakan smartphone android sebagai sarana untuk kendali pintu air. Smartphone dipilih oleh penulis karena saat ini menjadi alat komunikasi sehari-hari yang mobile di semua kalangan masyarakat sedangkan andriod merupakan sistem operasi yang sebagian besar dipakai pada smartphone tersebut. Smartphone berbasis android akan secara langsung mengendalikan buka tutup pintu Daerah Aliran Sungai (DAS) dengan menggunakan program aplikasi. Masukan dari aplikasi akan memberikan informasi perintah yang diberikan, selanjutnya akan diterima oleh sistem kendali yang terhubung pada mekanisme gerakan mekanik pintu air sungai. Peralatan kendali menggunakan perangkat Arduino Uno yang mampu mengubah signal digital menjadi gerakan mekanik dalam mengoperasikan pintu DAS. Hasil penelitian yang diperoleh, penggunaan perangkat kendali Arduino Uno tidak menyediakan ruang dalam pengelolaan database secara online, maka dibutuhkan software pendukung lainnya untuk mengatasi hal tersebut. Sebagai pengendali dan sistem android merupakan media penghubung informasi saling terkait merupakan sumber informasi yang terbuka

    Fractal analysis of microCT images of the oviduct during the estrous cycle

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    It is well known that the oviduct plays a key role in several events deeply related with reproduction, such as sperm storage and capacitation, gametes interactions, fertilization and early embryo development, among others. To better understand some of the interactions and process occurring withing this organ, the study of its morphological modifications is of primordial importance. To that, we adopted a microtomografy (MicroTC) modelling system and the fractal analysis that allow to explore the 3D oviductal functional anatomy, by using eight swine oviducts at different stages of the estrous cycle. MicroCT datasets were acquired by using the high-resolution 3D-imaging system Skyscan 1172G (Bruker, Kontich – Belgium). CT images were analyzed using plugin on ImageJ software (NIH, Bethesda, MD), a box-counting method was applied to calculate the Fractal dimension of the oviduct. Focusing our attention on the utero-tubal junction (involved in sperm selection) and the isthmo-ampullar junction (the fertilization site). We found that by using PCA analysis it was possible to clearly differentiate the oviduct at different cycle stage on the basis of their values for: Db for grid, lacunarity for grid, R2 for Db, Media Db, lacunarity, Οƒ for D for Db, Max for D, Min for D. Lacunarity, Media and Max for Db have a greater influence on the analysis. The results showed that 2 principal components were associated whit the morphological changes. This information, is obtained by a fast nondestructive method, and could be very useful because this innovative approach enables the achievement a 3D model and suggest that using fractal analysis techniques can aid to better understand the modifications of oviduct anatomy that depends on the neuroendocrine axis. This innovative approach could be a start point to design 3D cell culture systems, that could be applied in human and animal assisted reproductive techniques, improving the IVF outcomes

    НСйроэндокринная ΠΎΠΏΡƒΡ…ΠΎΠ»ΡŒ Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки ΠΈ ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΈΠ΄Π½Ρ‹ΠΉ синдром: трудности диагностики (клиничСскоС наблюдСниС)

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    Background. Neuroendocrine tumors (NETs) of the small bowel are rare and slow-growing tumors arising from intraepithelial endocrine cells that synthesize serotonin. Diagnosis of these tumors poses a signifcant challenge because they are often not diagnosed until an advanced stage, since the tumor may be asymptomatic or accompanied by non-specifc gastrointestinal complaints. Approximately 40 % of patients develop carcinoid syndrome due to hormonal activity of NETs. Surgery is the mainstay treatment of locoregional small bowel NETs. The fve-year survival rate of patients is about 85 %, with a median rate of 9.3 years.Case description. The female patient complained of facial redness and, to a lesser extent, redness of the skin of the trunk, accompanied by a feeling of heat, severe headache, lacrimation, and general feeling of weakness. The patient unsuccessfully received symptomatic treatment prescribed by various specialists (gynecologist, therapist, psychiatrist, endocrinologist, etc.) for 14 years. Based on the comprehensive examination, NET of the small bowel was diagnosed. The patient underwent radical surgery (pT2N1M0, stage IIIB, G2), but taking into account the unfavorable prognostic factors (metastases in the mesenteric lymph node, presence of carcinoid syndrome, elevated biochemical markers, Ki67 level = 6 %, presence of somatostatin receptors of 2 and 5 types in 60 % of tumor cells), the patient was further treated with somatostatin analogues.Conclusion. When small bowel NETs are suspected, especially with the evidence of carcinoid syndrome, every effort should be made to confrm the diagnosis using a combination of anatomical and functional tumor imaging with biochemical markers.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. НСйроэндокринныС ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ (НЭО) Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки ΡΠ²Π»ΡΡŽΡ‚ΡΡ Ρ€Π΅Π΄ΠΊΠΈΠΌΠΈ ΠΈ ΠΌΠ΅Π΄Π»Π΅Π½Π½ΠΎ растущими опухолями, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚ ΠΈΠ· нСйроэндокринных ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π°, ΡΠΈΠ½Ρ‚Π΅Π·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… сСротонин ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΠ΅ Π²Π°Π·ΠΎΠ°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Π΅ ΠΌΠΎΠ»Π΅ΠΊΡƒΠ»Ρ‹. Диагностика являСтся слоТной Π·Π°Π΄Π°Ρ‡Π΅ΠΉ, ΠΈ Π·Π°Ρ‡Π°ΡΡ‚ΡƒΡŽ Π΄ΠΈΠ°Π³Π½ΠΎΠ· устанавливаСтся Π½Π° ΠΏΠΎΠ·Π΄Π½Π΅ΠΉ стадии заболСвания, ΠΏΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΠΎΠΏΡƒΡ…ΠΎΠ»ΡŒ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ врСмя ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ бСссимптомной ΠΈΠ»ΠΈ ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Ρ‚ΡŒΡΡ нСспСцифичСскими ΠΆΠ°Π»ΠΎΠ±Π°ΠΌΠΈ со стороны ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π°. ΠŸΡ€ΠΈΠΌΠ΅Ρ€Π½ΠΎ Ρƒ 40 % ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ активности нСйроэндокринных ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки развиваСтся ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΈΠ΄Π½Ρ‹ΠΉ синдром. Π₯ирургичСскоС Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ являСтся СдинствСнным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ лСчСния Π»ΠΎΠΊΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Ρ‹Ρ… НЭО Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки. ΠŸΡΡ‚ΠΈΠ»Π΅Ρ‚Π½ΡΡ Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² составляСт ΠΎΠΊΠΎΠ»ΠΎ 85 %, с ΠΌΠ΅Π΄ΠΈΠ°Π½ΠΎΠΉ 9,3 Π³ΠΎΠ΄Π°.ОписаниС клиничСского случая. Π‘ΠΎΠ»ΡŒΠ½ΡƒΡŽ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ врСмя бСспокоили ΠΆΠ°Π»ΠΎΠ±Ρ‹ Π½Π° сухиС Β«ΠΏΡ€ΠΈΠ»ΠΈΠ²Ρ‹Β», ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‰ΠΈΠ΅ собой Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ покраснСниС ΠΊΠΎΠΆΠΈ Π»ΠΈΡ†Π° ΠΈ Π² мСньшСй стСпСни ΠΊΠΎΠΆΠΈ Ρ‚ΡƒΠ»ΠΎΠ²ΠΈΡ‰Π°, ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°ΡŽΡ‰ΠΈΠ΅ΡΡ чувством ΠΆΠ°Ρ€Π°, Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠΉ Π³ΠΎΠ»ΠΎΠ²ΠΎΠΉ болью ΠΈ слСзотСчСниСм, ΠΎΠ±Ρ‰Π΅ΠΉ ΡΠ»Π°Π±ΠΎΡΡ‚ΡŒΡŽ, ΠΎΡ‰ΡƒΡ‰Π΅Π½ΠΈΠ΅ΠΌ истощСния. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠ° Π½Π° протяТСнии 14 Π»Π΅Ρ‚ Π±Π΅Π·ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎ ΠΏΡ€ΠΎΡ…ΠΎΠ΄ΠΈΠ»Π° симптоматичСскоС Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Ρƒ Ρ€Π°Π·Π½Ρ‹Ρ… спСциалистов (Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³Π°, Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚Π°, психиатра, эндокринолога ΠΈ Π΄Ρ€.). Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΈ комплСксного обслСдования Π±Ρ‹Π» установлСн Π΄ΠΈΠ°Π³Π½ΠΎΠ· нСйроэндокринной ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ подвздошной кишки. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠ° Π±Ρ‹Π»Π° Ρ€Π°Π΄ΠΈΠΊΠ°Π»ΡŒΠ½ΠΎ ΠΏΡ€ΠΎΠΎΠΏΠ΅Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π° (pT2N1M0. Π‘Ρ‚. IIIB, G2), Π½ΠΎ с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² нСблагоприятного ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π° (мСтастаз Π² лимфатичСский ΡƒΠ·Π΅Π» Π±Ρ€Ρ‹ΠΆΠ΅ΠΉΠΊΠΈ, Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ синдрома, ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½Π½Ρ‹Π΅ биохимичСскиС ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹, ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Ki67 6 %, Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² соматостатина 2-Π³ΠΎ ΠΈ 5-Π³ΠΎ Ρ‚ΠΈΠΏΠ° Π² 60 % ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ) Π² дальнСйшСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π°Π½Π°Π»ΠΎΠ³Π°ΠΌΠΈ соматостатина.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΈ ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠΈ Π½Π° НЭО Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки, особСнно ΠΏΡ€ΠΈ Π½Π°Π»ΠΈΡ‡ΠΈΠΈ ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ синдрома, слСдуСт ΠΏΡ€ΠΈΠ»ΠΎΠΆΠΈΡ‚ΡŒ всС усилия для подтвСрТдСния Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ анатомичСской ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ с биохимичСскими ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌΠΈ. ΠŸΡ€Π°Π²ΠΈΠ»ΡŒΠ½Π°Ρ Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²ΠΊΠ° клиничСской ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° Π±Ρ‹ Π½Π°ΠΏΡ€Π°Π²ΠΈΡ‚ΡŒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΡƒ Π½Π° Ρ‚Π°ΠΊΠΈΠ΅ исслСдования, ΠΊΠ°ΠΊ соматостатин-рСцСпторная сцинтиграфия ΠΈ/ΠΈΠ»ΠΈ 68Ga-ПЭВ/КВ с исслСдованиСм биохимичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π² ΠΊΡ€ΠΎΠ²ΠΈ ΠΈ ΠΌΠΎΡ‡Π΅ ΠΈ, соотвСтствСнно, Π΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ НЭО Ρ‚ΠΎΠ½ΠΊΠΎΠΉ кишки Π² Π±ΠΎΠ»Π΅Π΅ Ρ€Π°Π½Π½ΠΈΠ΅ сроки ΠΈ Π½Π° Ρ€Π°Π½Π½Π΅ΠΉ стадии

    ΠŸΠ΅Ρ€ΡΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½Π°Ρ Π°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½Π°Ρ химиотСрапия Π½Π΅ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ Ρ€Π°ΠΊΠ° Π»Π΅Π³ΠΊΠΎΠ³ΠΎ II–III стадий

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    Surgery is the standard of care for non-small cell lung cancer (NSCLC). The overall survival rates especially in patients with locally advanced lung cancer are low. The resistance of cancer cells to chemotherapeutic drugs reduces the efficacy of treatment. Special attention is paid to the feasibility of assessing the tumor sensitivity to certain chemotherapy drugs. Currently, the most studied predictors are monoresistance and multidrug resistance genes, such as ABCC5, RRM1, ERCC1, BRCA1, TOP1, TOP2a, TUBB3 and TYMS.The aim of the study was to analyze the outcomes of combined modality treatment using radical surgery and personalized adjuvant chemotherapy for stage II–III NSCLC.Material and Methods. The study included 120 patients with stage II–III NSCLC, who underwent radical lung resection with mediastinal ipsilateral lymph node dissection. The patients were then divided into two groups. The main group consisted of 60 patients who received personalized platinum-based adjuvant chemotherapy based on the expression levels of the genes, such as ABCC5, RRM1, ERCC1, BRCA1, TOP1, TOP2a, TUBB3 and TYMS. The control group consisted of 60 patients who received postoperative chemotherapy empirically.Results. In the main group, disease progression occurred in 14 out of 60 patients, three-year disease-free survival (DFS) was 76.7 % (the median was not reached). In the control group, DFS was 53.3 % (28 out of 60 patients), the median was 31.0 (4–36 months); the differences were statistically significant: Logrank test Ο‡2 =4.382 p=0.036. The overall three–year survival rate was 90.0 % in the main group (6/60 patients died) and 61.7 % in the control group (23/60 patients died), the differences were statistically signifcant: Logrank test Ο‡2 =6.915, p=0.009.Conclusion. The personalized adjuvant chemotherapy resulted in the improved three-year relapse-free and overall survival rates in NSCLC patients.ΠžΡΠ½ΠΎΠ²Π½Ρ‹ΠΌ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ лСчСния Π½Π΅ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ Ρ€Π°ΠΊΠ° Π»Π΅Π³ΠΊΠΎΠ³ΠΎ (ΠΠœΠ Π›) являСтся хирургичСский, ΠΏΡ€ΠΈ этом ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ ΠΎΠ±Ρ‰Π΅ΠΉ выТиваСмости, особСнно ΠΏΡ€ΠΈ мСстнораспространСнном процСссС, Π½ΠΈΠ·ΠΊΠΈΠ΅. Π₯ΠΈΠΌΠΈΠΎΡ€Π΅Π·ΠΈΡΡ‚Π΅Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ опрСдСляСт Π½ΠΈΠ·ΠΊΡƒΡŽ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠ³ΠΎ лСкарствСнного лСчСния. ОсобоС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ исслСдоватСлСй ΠΏΡ€ΠΈΠ²Π»Π΅ΠΊΠ°Π΅Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΊ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹ΠΌ Ρ…ΠΈΠΌΠΈΠΎΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°ΠΌ. НаиболСС ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌΠΈ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ Π² настоящСС врСмя ΡΠ²Π»ΡΡŽΡ‚ΡΡ Ρ‚Π°ΠΊΠΈΠ΅ Π³Π΅Π½Ρ‹ монорСзистСнтности ΠΈ мноТСствСнной лСкарствСнной устойчивости, ΠΊΠ°ΠΊ АВББ5, RRM1, ERCC1, BRCA1, TOP1, TOP2Ξ±, TUBB3 ΠΈ TYMS. ЦСль исслСдования – ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ лСчСния Π½Π΅ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ Ρ€Π°ΠΊΠ° Π»Π΅Π³ΠΊΠΎΠ³ΠΎ II–III стадии с использованиСм Ρ€Π°Π΄ΠΈΠΊΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ хирургичСского Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° ΠΈ пСрсонализированной Π°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 120 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с Π½Π΅ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹ΠΌ Ρ€Π°ΠΊΠΎΠΌ Π»Π΅Π³ΠΊΠΎΠ³ΠΎ II–III стадии, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ Π½Π° ΠΏΠ΅Ρ€Π²ΠΎΠΌ этапС ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ лСчСния ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ хирургичСскоС Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π΅Π΅ Ρ€Π°Π΄ΠΈΠΊΠ°Π»ΡŒΠ½ΡƒΡŽ Ρ€Π΅Π·Π΅ΠΊΡ†ΠΈΡŽ Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π² объСмС Π»ΠΎΠ±-, Π±ΠΈΠ»ΠΎΠ±- ΠΈΠ»ΠΈ ΠΏΡƒΠ»ΡŒΠΌΠΎΠ½ΡΠΊΡ‚ΠΎΠΌΠΈΠΈ с ΠΌΠ΅Π΄ΠΈΠ°ΡΡ‚ΠΈΠ½Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠΏΡΠΈΠ»Π°Ρ‚Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ лимфодиссСкциСй. Π”Π°Π»Π΅Π΅ Π±ΠΎΠ»ΡŒΠ½Ρ‹Π΅ Π±Ρ‹Π»ΠΈ распрСдСлСны Π½Π° Π΄Π²Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹. ΠžΡΠ½ΠΎΠ²Π½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ составили 60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ послС ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ курсы пСрсонализированной Π°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ, Π½Π°Π·Π½Π°Ρ‡Π΅Π½Π½ΠΎΠΉ Π½Π° основании ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ экспрСссии Π³Π΅Π½ΠΎΠ² АВББ5, RRM1, ERCC1, BRCA1, TOP1, TOP2Ξ±, TUBB3 ΠΈ TYMS Π² Π²ΠΈΠ΄Π΅ платиносодСрТащих Π΄ΡƒΠ±Π»Π΅Ρ‚ΠΎΠ². ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ составили 60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ послСопСрационная химиотСрапия Π½Π°Π·Π½Π°Ρ‡Π°Π»Π°ΡΡŒ эмпиричСски.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ основной Π³Ρ€ΡƒΠΏΠΏΠ΅ прогрСссированиС заболСвания зафиксировано Ρƒ 14 ΠΈΠ· 60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², трСхлСтняя бСзрСцидивная Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ (Π‘Π Π’) – 76,7 % (ΠΌΠ΅Π΄ΠΈΠ°Π½Π° Π½Π΅ достигнута). Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ контроля Π‘Π Π’ составила 53,3 % (28 ΠΈΠ· 60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²), ΠΌΠ΅Π΄ΠΈΠ°Π½Π° составила 31,0 мСс (ΠΎΡ‚ 4 Π΄ΠΎ 36 мСс); различия статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹: Logrank test Ο‡2 =4,382 Ρ€=0,036. ΠžΠ±Ρ‰Π°Ρ 3-лСтняя Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ Π² основной Π³Ρ€ΡƒΠΏΠΏΠ΅ составила 90,0 % (ΡƒΠΌΠ΅Ρ€Π»ΠΎ 6/60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²), Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ контроля – 61,7 % (ΡƒΠΌΠ΅Ρ€Π»ΠΎ 23/60 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²), различия статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹: Logrank test Ο‡2 =6,915, Ρ€=0,009.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. 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