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RU2019119257A - A method for predicting the risk of locoregional recurrence in patients with lung cancer after pneumonectomy - Google Patents

A method for predicting the risk of locoregional recurrence in patients with lung cancer after pneumonectomy Download PDF

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Publication number
RU2019119257A
RU2019119257A RU2019119257A RU2019119257A RU2019119257A RU 2019119257 A RU2019119257 A RU 2019119257A RU 2019119257 A RU2019119257 A RU 2019119257A RU 2019119257 A RU2019119257 A RU 2019119257A RU 2019119257 A RU2019119257 A RU 2019119257A
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Russia
Prior art keywords
pneumonectomy
volume
lung cancer
predicting
patients
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RU2019119257A
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Russian (ru)
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RU2747535C2 (en
RU2019119257A3 (en
Inventor
Михаил Николаевич Васюков
Илья Иосифович Каган
Анатолий Андреевич Третьяков
Марина Алексеевна Сеньчукова
Андрей Евгеньевич Рыков
Александр Владимирович Корыстов
Original Assignee
Федеральное государственное бюджетное образовательное учреждение высшего образования "Оренбургский государственный медицинский университет" Министерства здравоохранения Российской Федерации
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Priority to RU2019119257A priority Critical patent/RU2747535C2/en
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Publication of RU2019119257A3 publication Critical patent/RU2019119257A3/ru
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Engineering & Computer Science (AREA)
  • Radiology & Medical Imaging (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Claims (1)

Способ прогнозирования риска локорегионарного рецидива у больных раком легкого после пневмонэктомии при компьютерной томографии органов грудной клетки через 6 и 12 месяцев после операции с помощью программы Vidar DICOM Viewer (или любой другой программы просмотрщика DICOM файлов, имеющей функцию определения объема), отличающийся тем, что выполняется оценка объема постпневмонэктомической полости и сравнивнение его с объемом полости предыдущего исследования, и в случаях, когда объем полости увеличивается либо остается прежним (т.е. отношение предыдущего объема к настоящему меньше или равно 1,0), прогнозируют развитие у больного локорегионарного рецидива рака легкого.A method for predicting the risk of locoregional recurrence in patients with lung cancer after pneumonectomy with computed tomography of the chest organs 6 and 12 months after surgery using the Vidar DICOM Viewer program (or any other DICOM file viewer program that has a volume determination function), characterized in that it is performed assessment of the volume of the post-pneumonectomy cavity and comparing it with the volume of the cavity of the previous study, and in cases where the volume of the cavity increases or remains the same (i.e. the ratio of the previous volume to the present is less than or equal to 1.0), the development of locoregional recurrence of lung cancer in the patient is predicted ...
RU2019119257A 2019-06-18 2019-06-18 Method for predicting risk of locoregional recurrence in patients with lung cancer after pneumonectomy RU2747535C2 (en)

Priority Applications (1)

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RU2019119257A RU2747535C2 (en) 2019-06-18 2019-06-18 Method for predicting risk of locoregional recurrence in patients with lung cancer after pneumonectomy

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RU2019119257A RU2747535C2 (en) 2019-06-18 2019-06-18 Method for predicting risk of locoregional recurrence in patients with lung cancer after pneumonectomy

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RU2019119257A true RU2019119257A (en) 2020-12-18
RU2019119257A3 RU2019119257A3 (en) 2021-01-28
RU2747535C2 RU2747535C2 (en) 2021-05-06

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Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2243564C1 (en) * 2003-04-21 2004-12-27 Ростовский научно-исследовательский онкологический институт Method for predicting relapses and metastases of pulmonary cancer
RU2498305C1 (en) * 2012-06-22 2013-11-10 Федеральное государственное бюджетное учреждение "Научно-исследовательский институт онкологии" Сибирского отделения Российской академии медицинских наук (ФГБУ "НИИ онкологии" СО РАМН) Method for prediction of recurrent non-small-cell lung cancer
US10846367B2 (en) * 2017-09-15 2020-11-24 Case Western Reserve University University Predicting recurrence in early stage non-small cell lung cancer (NSCLC) with integrated radiomic and pathomic features
US11350901B2 (en) * 2017-11-27 2022-06-07 Case Western Reserve University Recurrence prognosis and prediction of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer with radiomic features on baseline computed tomography

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RU2747535C2 (en) 2021-05-06
RU2019119257A3 (en) 2021-01-28

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