Andrés Kohan

ORCID: 0000-0003-3592-3000
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About
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Research Areas
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging
  • Advanced MRI Techniques and Applications
  • MRI in cancer diagnosis
  • Sarcoma Diagnosis and Treatment
  • Lung Cancer Diagnosis and Treatment
  • Radiation Dose and Imaging
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Radiopharmaceutical Chemistry and Applications
  • Lymphoma Diagnosis and Treatment
  • Advanced Radiotherapy Techniques
  • Urinary Bladder and Prostate Research
  • Ovarian cancer diagnosis and treatment
  • Cancer, Hypoxia, and Metabolism
  • Colorectal Cancer Surgical Treatments
  • Head and Neck Cancer Studies
  • Prostate Cancer Diagnosis and Treatment
  • Renal cell carcinoma treatment
  • Cardiac Imaging and Diagnostics
  • Colorectal and Anal Carcinomas
  • CNS Lymphoma Diagnosis and Treatment
  • Cardiac tumors and thrombi
  • Prostate Cancer Treatment and Research
  • CAR-T cell therapy research

University Health Network
2022-2025

Women's College Hospital
2022-2025

University of Toronto
2022-2025

Mount Sinai Hospital
2022-2025

Sinai Health System
2023-2025

Princess Margaret Cancer Centre
2022-2024

Health Net
2022-2023

Toronto General Hospital
2023

Siemens Healthcare (United States)
2022

National Cancer Centre Japan
2022

Rationale and ObjectivesTo investigate whether [18F]-FDG PET/CT-derived radiomics may correlate with driver gene mutations in non-small cell lung cancer (NSCLC) patients.Materials MethodsIn this IRB-approved retrospective study, 203 patients surgically treated NSCLC who underwent subsequent genomic analysis of the primary tumour at our institution between December 2004 January 2014 were identified. Of those, 128 (mean age 62.4 ± 10.8 years; range: 35–84) received preoperative PET/CT as part...

10.1016/j.acra.2024.06.038 article EN cc-by-nc-nd Academic Radiology 2024-07-14

<h3>BACKGROUND AND PURPOSE:</h3> MR imaging and PET/CT are integrated in the work-up of head neck cancer patients. The hybrid technology <sup>18</sup>F-FDG-PET/MR combining morphological functional information might be attractive this patient population. aim study was to compare whole-body <sup>18</sup>F-FDG-PET/CT patients with cancer, both qualitatively terms lymph node distant metastases detection quantitatively standardized uptake values measured <sup>18</sup>F-FDG-avid lesions....

10.3174/ajnr.a3993 article EN cc-by American Journal of Neuroradiology 2014-06-12

Rationale and ObjectiveTo develop a radiogenomic predictive model for non-small cell lung cancer (NSCLC) patients studied through contrast enhanced chest computed tomography (CE-CT) targeting the most frequent gene alterations.M&MA retrospective study of with NSCLC imaged CE-CT before treatment had their tumor genomics sequenced at our institution was performed. Data gathered from imaging studies, electronic medical records web-based database search (cBioPortal.ca). All patient data...

10.1016/j.acra.2024.01.031 article EN cc-by-nc-nd Academic Radiology 2024-02-21

35 Background: PREP was initiated in Ontario to provide access and characterize performance of PSMA PET CT among men with recurrent prostate cancer after primary definitive treatment (RP or RT). Methods: Between 03/18 09/22, 4135 were accrued. Men enrolled imaged 18F-DCFPyL at 1 6 participating sites within clinical cohorts. Standardized reports delineated recurrence post management changes. Linkage provincial databases allowed estimation overall survival utilization salvage radiotherapy...

10.1200/jco.2025.43.5_suppl.35 article EN Journal of Clinical Oncology 2025-02-10

In patients with squamous cell carcinoma of the anal canal (ACC), disease stage influences treatment plans and determines prognosis. Our purpose was to determine impact PET on initial staging presumed stages II-IV ACC assess association per conventional workup (CW) imaging patient outcomes. Methods: this multicenter registry, CW or equivocal findings for a specific were included. Demographic data according American Joint Committee Cancer (AJCC) version 7 as determined by recorded compared...

10.2967/jnumed.124.269289 article EN Journal of Nuclear Medicine 2025-03-06

Chronic limb- threatening ischemia (CLTI) is a serious condition that can lead to amputation, and in some cases, it be associated with mortality. Current clinical evaluation methods have several limitations. Therefore, new assess CLTI are needed better understand measure underlying causes functionality, hence potentially improve the treatment. In this study, we use dynamic 18F-FAZA PET-imaging as method of measuring hypoxia marker CLTI, on twelve patients identified who underwent PET-MR...

10.1186/s13550-025-01243-5 article EN cc-by-nc-nd EJNMMI Research 2025-04-26

We investigate whether computed tomography (CT) derived radiomics may correlate with driver gene mutations in patients pancreatic ductal adenocarcinoma (PDAC). In this retrospective study, 47 (mean age 64 ± 11 years; range: 42–86 years) PDAC, who were treated surgically and underwent preoperative CT imaging at our institution included the study. Image segmentation feature extraction was performed semi-automatically a commonly used open-source software platform. Genomic data from whole genome...

10.3390/cancers14246224 article EN Cancers 2022-12-16

The potential of brain imaging has grown rapidly with new modalities, hybrid combinations existing and novel metabolic tracers. 18F-florbetapir is an amyloid plaque-binding molecule labeled to 18F that allows positron the deposition in brain. This protein known be one features Alzheimer disease therefore can interest differential diagnosis dementia. We present 2 cases combining modality PET/MRI, which offers molecular morphological information,

10.1097/rlu.0b013e31829b9e5f article EN Clinical Nuclear Medicine 2013-07-13

We aimed to investigate whether [18F]F-FDG-PET/CT-derived radiomics can classify histologic subtypes and determine the anatomical origin of various malignancies. In this IRB-approved retrospective study, 391 patients (age = 66.7 ± 11.2) with pulmonary (n 142), gastroesophageal 128) head neck 121) malignancies were included. Image segmentation feature extraction performed semi-automatically. Two models (all possible subset regression [APS] recursive partitioning) employed predict histology...

10.3390/cancers16101873 article EN Cancers 2024-05-15
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