EP-1380: Can radiomic features describe lung semantic features in NSCLC patients?

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Radiographic prediction of meningioma grade by semantic and radiomic features

OBJECTIVES The clinical management of meningioma is guided by tumor grade and biological behavior. Currently, the assessment of tumor grade follows surgical resection and histopathologic review. Reliable techniques for pre-operative determination of tumor grade may enhance clinical decision-making. METHODS A total of 175 meningioma patients (103 low-grade and 72 high-grade) with pre-operative...

متن کامل

Clinicopathological Features of Patients with Non-small-cell Lung Cancer in West of Iran

Background: Lung cancer is the most common cause of cancer death worldwide with an annual mortality rate of more than 1.3 million worldwide. We aimed to analyze the clinicopathological features of patients with non-small-cell lung cancer (NSCLC) in west of Iran. Methods: 64 patients with NSCLC who referred to our clinic were analyzed. Sex, age, histopathology, location of the tumor, treatment,...

متن کامل

Radiomic features analysis in computed tomography images of lung nodule classification

PURPOSE Radiomics, which extract large amount of quantification image features from diagnostic medical images had been widely used for prognostication, treatment response prediction and cancer detection. The treatment options for lung nodules depend on their diagnosis, benign or malignant. Conventionally, lung nodule diagnosis is based on invasive biopsy. Recently, radiomics features, a non-inv...

متن کامل

Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features

OBJECTIVES To analyze the distant metastasis possibility based on computed tomography (CT) radiomic features in patients with lung cancer. METHODS This was a retrospective analysis of 348 patients with lung cancer enrolled between 2014 and February 2015. A feature set containing clinical features and 485 radiomic features was extracted from the pretherapy CT images. Feature selection via conc...

متن کامل

Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients

The goal of this study was to extract features from radial deviation and radial gradient maps which were derived from thoracic CT scans of patients diagnosed with lung adenocarcinoma and assess whether these features are associated with overall survival. We used two independent cohorts from different institutions for training (n= 61) and test (n= 47) and focused our analyses on features that we...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Radiotherapy and Oncology

سال: 2018

ISSN: 0167-8140

DOI: 10.1016/s0167-8140(18)31689-x