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Sisällön tarjoaa From the Viewbox and Department of Radiology UMass Medical School. From the Viewbox and Department of Radiology UMass Medical School tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Episode 29: Imaging of Ovarian Masses

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Manage episode 288473452 series 2895175
Sisällön tarjoaa From the Viewbox and Department of Radiology UMass Medical School. From the Viewbox and Department of Radiology UMass Medical School tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Classifying and categorizing ovarian masses can feel like a daunting task for radiology trainees. In this episode Dr. Alan Goldstein will discuss with us his approach to these lesions to help simplify the process. First, a few mimics and pitfalls will be presented. Then Dr. Goldstein will break down the three basic types of ovarian tumors with an emphasis on imaging features: 1. First, make sure the mass is truly ovarian in origin (A) Appendiceal mucocele, peritoneal inclusion cyst, hydrosalpinx, subserosal fibroid, endometrioma, metastasis 2. Then break it down (A) Epithelial tumors (cystic with solid components) - Benign - Borderline - Malignant (B) Sex cord stromal tumors (solid with cystic components) - Fibroma - Other stuff (C) Germ cells tumors (bizarre masses in young patients) - Dermoid cyst - Other stuff Hosts: Christopher Cerniglia, DO, ME, FAOCR. Associate Professor of Radiology, Division of Musculoskeletal Imaging & Intervention, UMMS Dept of Radiology. Hao Lo, MD, MBA. Associate Professor of Radiology, Division of Emergency Radiology, UMMS Dept of Radiology. Guest: Alan Goldstein, MD. Assistant Professor of Radiology & Division Chief of Abdominal Imaging, UMMS Dept of Radiology. Resources: ACR Ovarian-Adnexal Reporting and Data System (O-RADS). Multiple links at: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/O-Rads Foti P, Attina G, Spadola S, et al. MR imaging of ovarian masses: classification and differential diagnosis. Insights Imaging. 2016 Feb; 7(1): 21-41. More advanced: Halankar J, Lo G, and Metser U. MRI classification and characterization of complex ovarian masses. Applied Radiology. https://www.appliedradiology.com/articles/mri-classification-and-characterization-of-complex-ovarian-masses
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31 jaksoa

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iconJaa
 
Manage episode 288473452 series 2895175
Sisällön tarjoaa From the Viewbox and Department of Radiology UMass Medical School. From the Viewbox and Department of Radiology UMass Medical School tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Classifying and categorizing ovarian masses can feel like a daunting task for radiology trainees. In this episode Dr. Alan Goldstein will discuss with us his approach to these lesions to help simplify the process. First, a few mimics and pitfalls will be presented. Then Dr. Goldstein will break down the three basic types of ovarian tumors with an emphasis on imaging features: 1. First, make sure the mass is truly ovarian in origin (A) Appendiceal mucocele, peritoneal inclusion cyst, hydrosalpinx, subserosal fibroid, endometrioma, metastasis 2. Then break it down (A) Epithelial tumors (cystic with solid components) - Benign - Borderline - Malignant (B) Sex cord stromal tumors (solid with cystic components) - Fibroma - Other stuff (C) Germ cells tumors (bizarre masses in young patients) - Dermoid cyst - Other stuff Hosts: Christopher Cerniglia, DO, ME, FAOCR. Associate Professor of Radiology, Division of Musculoskeletal Imaging & Intervention, UMMS Dept of Radiology. Hao Lo, MD, MBA. Associate Professor of Radiology, Division of Emergency Radiology, UMMS Dept of Radiology. Guest: Alan Goldstein, MD. Assistant Professor of Radiology & Division Chief of Abdominal Imaging, UMMS Dept of Radiology. Resources: ACR Ovarian-Adnexal Reporting and Data System (O-RADS). Multiple links at: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/O-Rads Foti P, Attina G, Spadola S, et al. MR imaging of ovarian masses: classification and differential diagnosis. Insights Imaging. 2016 Feb; 7(1): 21-41. More advanced: Halankar J, Lo G, and Metser U. MRI classification and characterization of complex ovarian masses. Applied Radiology. https://www.appliedradiology.com/articles/mri-classification-and-characterization-of-complex-ovarian-masses
  continue reading

31 jaksoa

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