نتایج جستجو برای: recurrence prediction

تعداد نتایج: 337559  

Journal: :Information processing in medical imaging : proceedings of the ... conference 2015
Wolf-Dieter Vogl Sebastian M. Waldstein Bianca S. Gerendas Christian Simader Ana-Maria Glodan Dominika Podkowinski Ursula Schmidt-Erfurth Georg Langs

We propose a method to predict treatment response patterns based on spatio-temporal disease signatures extracted from longitudinal spectral domain optical coherence tomography (SD-OCT) images. We extract spatio-temporal disease signatures describing the underlying retinal structure and pathology by transforming total retinal thickness maps into a joint reference coordinate system. We formulate ...

Journal: :The Journal of clinical investigation 2013
Ji-Yeon Yang Kosuke Yoshihara Kenichi Tanaka Masayuki Hatae Hideaki Masuzaki Hiroaki Itamochi Masashi Takano Kimio Ushijima Janos L Tanyi George Coukos Yiling Lu Gordon B Mills Roel G W Verhaak

Patients with ovarian cancer are at high risk of tumor recurrence. Prediction of therapy outcome may provide therapeutic avenues to improve patient outcomes. Using reverse-phase protein arrays, we generated ovarian carcinoma protein expression profiles on 412 cases from TCGA and constructed a PRotein-driven index of OVARian cancer (PROVAR). PROVAR significantly discriminated an independent coho...

2017
Michał Grąt Jan Stypułkowski Waldemar Patkowski Emil Bik Maciej Krasnodębski Karolina M. Wronka Zbigniew Lewandowski Michał Wasilewicz Karolina Grąt Łukasz Masior Joanna Ligocka Marek Krawczyk

Microvascular invasion (MVI) is well known to negatively influence outcomes following surgical treatment of hepatocellular cancer (HCC) patients. The aim of this study was to evaluate the rationale for prediction of MVI before liver transplantation (LT). Data of 200 HCC patients after LT were subject to retrospective analysis. MVI was present in 57 patients (28.5%). Tumor number (p = 0.001) and...

Journal: :بینا 0
عباس باقری a bagheri تهران- پاسداران- خیابان امیر ابراهیمی- نبش بوستان نهم- پلاک 5- مرکز تحقیقات چشم سکینه خندان s khandan تهران- پاسداران- خیابان امیر ابراهیمی- نبش بوستان نهم- پلاک 5- مرکز تحقیقات چشم محمد ابریشمی m abrishami تهران- پاسداران- خیابان امیر ابراهیمی- نبش بوستان نهم- پلاک 5- مرکز تحقیقات چشم حسین سالور h saloor تهران- پاسداران- خیابان امیر ابراهیمی- نبش بوستان نهم- پلاک 5- مرکز تحقیقات چشم

purpose: to report the clinical, radiological, pathological and therapeutic features of a case of recurrent cavernous hemangioma. case report: a 32 year old lady with progressive decrease of vision in her right eye associated with blepharoptosis was diagnosed to have orbital cavernous hemangioma which was excised. 10 years later she presented with recurrent proptosis and progressive eye deviati...

Journal: :middle east journal of digestive diseases 0
shayan khoshkish khalilullah arefi meghedi charmehali homayoon vahedi reza malekzadeh

background postoperative relapse is a common feature of crohn's disease (cd) in western countries but its frequency and risk factors have not been studied in the middle east where there is a rapid upsurge in the incidence of cd. this study aims to research the frequency and risk factors of its recurrence after surgery among 566 iranian patients with cd in tehran, iran. methods all 566 patients ...

Journal: :middle east journal of digestive diseases 0
fatemeh baradaran alireza norouzi samaneh tavassoli abdolvahab baradaran gholamreza roshandel

background upper gastrointestinal bleeding (ugib) is a major healthcare problem and is the most frequent gastrointestinal reason for admission to hospital. we aimed to investigate the prognosis of patients with ugib referred to a referral hospital in northern iran in 2013. methods all patients with ugib who admitted to sayyad shirazi hospital, in gorgan, northern iran, in 2013 were enrolled. th...

Journal: :International Journal of Advanced Computer Science and Applications 2023

The prediction of breast cancer recurrence is a crucial problem in research that requires accurate and efficient models. This study aims to compare the performance different machine learning techniques predicting types recurrence. In this study, logistic regression, decision tree, K-Nearest Neighbors, artificial neural network algorithms was compared on dataset. results show algorithm outperfor...

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