Publications by authors named "Emre Altinmakas"

With immuno-oncology becoming the standard of care for a variety of cancers, identifying biomarkers that reliably classify patient response, resistance, or toxicity becomes the next critical barrier towards improving care. Multi-parametric, multi-omics, and computational platforms generating an unprecedented depth of data are poised to usher in the discovery of increasingly robust biomarkers for enhanced patient selection and personalized treatment approaches. Deciding which developing technologies to implement in clinical settings ultimately, applied either alone or in combination, relies on weighing pros and cons, from minimizing patient sampling to maximizing data outputs, and assessing reproducibility and representativeness of findings, while lessening data fragmentation towards harmonization.

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  • Artificial intelligence in medicine usually faces challenges related to small, non-diverse patient data due to privacy concerns, but federated learning (FL) offers a solution by allowing training across different hospitals without sharing sensitive data.
  • The newly developed FL-PedBrain platform is specifically designed for pediatric brain tumors, enabling collaborative training for tumor classification and segmentation across 19 international centers, addressing the lack of diverse datasets in this area.
  • FL-PedBrain shows impressive performance metrics, maintaining almost equivalent accuracy to centralized data training while significantly improving segmentation performance by 20 to 30% at external sites, and allows for the examination of data variability in real-world situations.
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Teleconferencing can facilitate a multidisciplinary approach to teaching radiology to medical students. This study aimed to determine whether an online learning approach enables students to appreciate the interrelated roles of radiology and other specialties during the management of different medical cases. Turkish medical students attended five 60-90-minute online lectures delivered by radiologists and other specialists from the United States and Canada through Zoom meetings between November 2020 and January 2021.

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Background & Aims: The Lemann Index (LI), an endpoint to measure cumulative structural bowel damage in Crohn's disease (CD), has been recently updated and validated. We applied this to investigate predictors of bowel damage in a real-world cohort.

Methods: We performed a retrospective study (2008-2022) involving two tertiary referral IBD centers in the US.

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Background & Aims: Perianal fistulizing Crohn's disease (PFCD)-associated anorectal and fistula cancers are rare but often devastating diagnoses. However, given the low incidence and consequent lack of data and clinical trials in the field, there is little to no guidance on screening and management of these cancers. To inform clinical practice, we developed consensus guidelines on PFCD-associated anorectal and fistula cancers by multidisciplinary experts from the international TOpClass consortium.

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Prostate cancer may recur several years after definitive treatment, such as prostatectomy or radiation therapy. A rise in serum prostate-specific antigen (PSA) level is the first sign of disease recurrence, and this is termed . Patients with biochemical recurrence have worse survival outcomes.

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This dataset is composed of cervical spine CT images with annotations related to fractures; it is available at https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/.

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Introduction: Radiology education is essential for nonradiologist specialists and practitioners as well as for radiologists. We conducted a survey to gather the opinions of Turkish medical students from first to sixth grade regarding their radiology curricula, radiology education content, and perceptions of various imaging modalities and to assess the amount, adequacy, and homogeneity of radiology education in various schools.

Methods: Turkish medical students were reached by student ambassadors from 10 different schools of medicine via social media and email.

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Background: Radiology education in Turkey is mainly taught during clinical years of medical school and often lacks main principles. Exposure to the fundamentals of radiology at an early stage of medical education may drastically help students generate a better understanding of radiology and expand their interest in the specialty. With the Principles of Radiology Course that we provided, pre- and post-session tests, and assessment survey at the end of the course, we aimed to evaluate the effectiveness of such an online course among Turkish medical students.

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  • The study looked at new ways to diagnose a liver condition called clinically significant portal hypertension by measuring different factors in patients' livers and spleens.
  • They used various medical imaging techniques and compared the results to traditional methods.
  • The results showed that some measurements, like liver T-HBP and ΔT, were good indicators for diagnosing this condition.
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Abbreviated magnetic resonance imaging (AMRI) approach became a hot topic in liver imaging recently. Different AMRI protocols including noncontrast AMRI (NC-AMRI), hepatobiliary-AMRI (HBP-AMRI) using gadoxetic acid, and dynamic-AMRI (Dyn-AMRI) using extracellular contrast agent, have been described in the literature. In this review, the use of these AMRI approaches in various indications including hepatocellular carcinoma (HCC) screening and surveillance in chronic liver disease; fat, iron, and fibrosis screening and assessment in nonalcoholic fatty liver disease (NAFLD); and finally liver metastasis screening and surveillance in patients with colorectal cancer are summarized.

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  • The study looked at how the size and presence of certain veins affected the treatment response in patients with rectal cancer.
  • They used MRI scans to check for extramural venous invasion (EMVI) before and after treatment in 57 patients.
  • Results showed that patients who responded well to treatment had smaller and fewer EMVI compared to those who only had a partial response, suggesting size and number matter in evaluating treatment effectiveness.
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Background: The risk profile for posterior fossa ependymoma (EP) depends on surgical and molecular status [Group A (PFA) versus Group B (PFB)]. While subtotal tumor resection is known to confer worse prognosis, MRI-based EP risk-profiling is unexplored. We aimed to apply machine learning strategies to link MRI-based biomarkers of high-risk EP and also to distinguish PFA from PFB.

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BACKGROUND Metabolic syndrome affects 35% of the adult population in developed countries associated with non-alcoholic steatohepatitis, insulin resistance, and cardiovascular events. Fatty infiltration of the pancreas, or pancreatic steatosis, is a risk factor for acute pancreatitis, pancreatic malignancies, and diabetes mellitus, yet its relationship with metabolic syndrome is not well defined. METHODS We performed a single-centered retrospective observational study of 322 healthy subjects (subjects volunteering to be kidney transplant donors, mean age=46.

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Purpose: We aimed to investigate the value of magnetic resonance imaging (MRI)-based parameters in differentiating between progressive massive fibrosis (PMF) and lung cancer.

Methods: This retrospective study included 60 male patients (mean age, 67.0±9.

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  • A 53-year-old woman felt really tired for 6 weeks and had some tests done that showed high levels of a hormone called parathormone.
  • Doctors did an ultrasound on her neck and found a big lump in her thyroid, which had different parts and even some tiny calcium spots.
  • After some tests, they discovered she had a type of thyroid cancer and took out her whole thyroid gland, finding that the lump had cancer and part of it was a different growth called a parathyroid adenoma.
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The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVID DeteCT (DCD), a deep learning convolutional neural network (CNN) that uses the entire chest CT volume to automatically predict COVID-19 (COVID+) from non-COVID-19 (COVID-) pneumonia and normal controls.

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The coronavirus disease 2019 (COVID-19) pandemic is a global health care emergency. Although reverse-transcription polymerase chain reaction testing is the reference standard method to identify patients with COVID-19 infection, chest radiography and CT play a vital role in the detection and management of these patients. Prediction models for COVID-19 imaging are rapidly being developed to support medical decision making.

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Incidental homogeneous renal masses are frequently encountered at portal venous phase CT. The American College of Radiology Incidental Findings Committee's white paper on renal masses recommends additional imaging for incidental homogeneous renal masses greater than 20 HU, but single-center data and the Bosniak classification version 2019 suggest the optimal attenuation threshold for detecting solid masses should be higher. The purpose of this article is to determine the clinical importance of small (10-40 mm) incidentally detected homogeneous renal masses measuring 21-39 HU at portal venous phase CT.

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Background: To evaluate the additive role of Ga-68 PSMA PET as a primary staging tool in patients bearing prostate cancer in single PIRADS 4 or 5 index lesions.

Methods: Eighty-one biopsy-naive patients with preoperative mpMRI and Ga-68 PSMA PET who underwent radical prostatectomy (RP) were evaluated retrospectively. Forty-nine patients had PIRADS 4 and 32 had PIRADS 5 index lesions.

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