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CT Features Predict the Optimal Therapeutic Approach for Pancreatic Neuroendocrine Neoplasms ; КТ-признаки, позволяющие определить оптимальную тактику лечения при нейроэндокринных опухолях поджелудочной железы

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  • معلومة اضافية
    • بيانات النشر:
      VIDAR Publishing House
    • الموضوع:
      2015
    • Collection:
      Medical Visualization (E-Journal) / Медицинская визуализация
    • نبذة مختصرة :
      Objective. To determine whether MDCT features of pancreatic neuroendocrine tumors can predict the pathological tumor grade. Materials and methods. 30 patients with histologically confirmed pancreatic neuroendocrine tumors (pNET) underwent preoperative contrast CT examinations from 2012 to 2015. 19 tumors were classified as G1 and 11 as G2 according to the WHO 2010 classification. We evaluated several CT-features of pNET, such as tumor contrast enhancement pattern, homogeneity, cystic or necrotic change, size, vascular involvement, upstream pancreatic duct dilatation, presence of regional and distant metastasis. Tumor density was measured at all phases. CT-features were compared between tumor grades using Mann-Whitney U-test and f-Fisher test. We evaluated the performances of the CT findings to diagnose G2 tumors. Results. Mean tumor size was significantly higher (p < 0.05) in grade 2 pNET. G2 pNET were more often nonhomogenous and had poorly defined margin. Tumor density was significantly higher in the group of grade 1 tumors. Mean arterial enhancement ratio in G1 pNET was 1.66 ± 0.42, in G2 pNET - 1.04 ± 0.39 (p < 0.01). Mean portal enhancement ratio in G1 pNET was 1.28 ± 0.25, in G2 pNET - 0.9 ± 0.1 (p < 0.05). Arterial enhancement ratio 20 mm, ill-defined borders and non-homogenous contrast enhancement showed 83%, 74%, 67% and 63% accuracy in differentiating Grade 2 pNET from Grade 1 pNET. Conclusion. Several CT-features of pNET, such as tumor contrast enhancement, homogeneity and size can predict the tumor grade. ; Цель исследования: оценить возможности МСКТ с внутривенным болюсным контрастным усилением в определении степени злокачественности нейроэндокринных опухолей (НЭО) поджелудочной железы. Материал и методы. Проанализированы результаты предоперационных КТ-исследований 32 пациентов, прошедших лечение по поводу НЭО поджелудочной железы в период с 2012 по 2015 г. Степень злокачественности определяли в соответствии с критериями ВОЗ (2010 г.), при этом у 19 пациентов выявлена ...
    • File Description:
      application/pdf
    • Relation:
      https://medvis.vidar.ru/jour/article/view/231/232; Bosman F., Carneiro F. World Health Organization Classification of Tumours, Pathology and Genetics of Tumours of the Digestive System., Lyon: IARC Press, 2010.; Alexander D.J. Baur, Marianne Pavel, Vikas Prasad, Timm Denecke. Diagnostic imaging of pancreatic neuroendocrine neoplasms (pNEN): tumor detection, staging, prognosis, and response to treatment. Acta Radiol. 2015. Epub ahead of print.; Кубышкин В.А., Кочатков А.В., Константинова М.М., Кригер А.Г. Нейроэндокринная неоплазия поджелудочной железы: терминология, классификации и стадирование. Хирургия. Журнал им. Н.И. Пирогова. 2012; 6: 4-8.; Grillo F., Albertelli M., Brisigotti M.P. et al. Grade Increases in Gastro-Entero-Pancreatic Neuroendocrine Tumor Meta stases Compared to the Primary Tumor. Neuroendocrinology. 2015 Aug 25. Epub ahead of print.; Кочатков А.В., Кубышкин В.А., Кригер А.Г. и др. Диагностика нейроэндокринных неоплазий поджелудочной железы. Хирургия. Журнал им. Н.И. Пирогова. 2014; 2: 8-15.; Kulke M.H., Shah M.H., Benson A.B. 3rd et al. National comprehensive cancer network. Neuroendocrine tumors, version 1.2015. J. Natl. Compr. Canc. Netw. 2015;13 (1): 78-108.; Bettini R., Partelli S., Boninsegna L. et al. Tumor size correlates with malignancy in nonfunctioning pancreatic endocrine tumor. Surgery. 2011; 150 (1): 75-82.; Takumi K., Fukukura Y., Higashi M. et al. Pancreatic neuroendocrine tumors: Correlation between the contrastenhanced computed tomography features and the pathological tumor grade. Eur. J. Radiol. 2015; 84 (8): 1436-1443.; Kim D.W., Kim H.J., Kim K.W. et al. Neuroendocrine neoplasms of the pancreas at dynamic enhanced CT: comparison between grade 3 neuroendocrine carcinoma and grade 1/2 neuroendocrine tumour. Eur. Radiol. 2015; 25 (5):1375-1383.; Duerr E.M., Chung D.C. Molecular genetics of neuroendocrine tumors. Best Pract. Res. Clin. Endocrinol. Metab. 2007; 21 (1): 1-14.; d'Assignies G., Couvelard A., Bahrami S. et al. Pancreatic endocrine tumors: tumor blood flow assessed with perfusion CT reflects angiogenesis and correlates with prognostic factors. Radiology. 2009; 250 (2): 407-416.; Kawamoto S., Johnson P.T., Shi C. et al. Pancreatic neuroendocrine tumor with cystlike changes: evaluation with MDCT. Am. J. Roentgenol. 2013; 200 (3):W283-90.; Ligneau B., Lombard-Bohas C., Partensky C. et al. Cystic endocrine tumors of the pancreas: clinical, radiologic, and histopathologic features in 13 cases. Am. J. Surg. Pathol. 2001; 25 (6): 752-760.; Buetow P.C., Parrino T.V., Buck J.L. et al. Islet cell tumors of the pancreas: pathologic-imaging correlation among size, necrosis and cysts, calcification, malignant behavior, and functional status. Am. J. Roentgenol. 1995; 165 (5): 1175-1179.; Liu Y., Xu X.Q., Lin X.Z. et al. Prospective study comparing two iodine concentrations for multidetector computedtomography of the pancreas. Radiol. Med. 2010; 115 (6): 898-905.; Fleischmann D., Kamaya A. Optimal vascular and parenchymal contrast enhancement: the current state of the art. Radiol. Clin. N. Am. 2009; 47 (1): 13-26.; Cappelli C., Boggi U., Mazzeo S. et al. Contrast enhancement pattern on multidetector CT predicts malignancy in pancreatic endocrine etumours. Eur. Radiol. 2015; 25 (3): 751-759.; https://medvis.vidar.ru/jour/article/view/231
    • الدخول الالكتروني :
      https://medvis.vidar.ru/jour/article/view/231
    • Rights:
      Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). ; Авторы, публикующиеся в данном журнале, соглашаются со следующим:Авторы сохраняют за собой авторские права на работу и предоставляют журналу право первой публикации работы на условиях лицензии Creative Commons Attribution License, которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы сохраняют право заключать отдельные контрактные договоренности, касающиеся неэксклюзивного распространения версии работы в опубликованном здесь виде (например, размещение ее в институтском хранилище, публикацию в книге), со ссылкой на ее оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу в сети Интернет (например, в институтском хранилище или персональном сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению и большему количеству ссылок на данную работу (см. The Effect of Open Access).
    • الرقم المعرف:
      edsbas.DF239A31