Jairo Luciano Santana
Assistant Professor, Human Body Structure and Function
Courses: Human Body Structure & Function, Foundations of Clinical Medicine
I was born and raised in Santo Domingo and attended the School of Medicine of the Universidad Autónoma in the same city. There, I worked as an anatomy “monitor” –equivalent to a teaching assistant– for the last three years of medical school. During the first few years following my graduation, I taught basic sciences review courses at the Universidad Central del Este, gross anatomy and neuroanatomy at O&M Medical School, and the same subjects in addition to embryology at the Metropolitan University College of Medicine of Antigua and Barbuda. I also collaborated as an intern and junior researcher at the Centro Gamma Knife Dominicano, the radiosurgery unit of CEDIMAT, Santo Domingo, researching primarily the application of MRI analyses to predict the outcome of Gamma Knife radiosurgery in brain tumors, in addition to other multicenter studies of the International Radiosurgery Research Foundation, studies on the single-dose equivalence calculation for hypofractionated radiosurgery and radiation-induced optic neuropathy.
I chose to become a radiologist and began my preliminary year of residency in 2020 at SUNY Downstate in Brooklyn, NY. The remainder of my training in diagnostic radiology is expected to continue at Wayne State University in Michigan in the years to come.
- Gross Anatomy and Neuroanatomy
- Brain MRI
- Magna Cum-Laude
- Valedictorian, Graduation of June 14th, 2016
- Recognition to the Highest Academic Honor, Facultad de Ciencias de la Salud
- Speckter, H., Santana, J., Lara, J., Bido, J., Hernandez, G., Rivera, D., Suazo, L., Valenzuela, S., and Stoeter, P. Assessment of the alpha/beta Ratios of Pituitary Adenomas and Craniopharyngiomas for the Quantification of Single Fraction Equivalent Dose Benefits from Hypofractionated Radiosurgery. American Society for Radiation Oncology (ASTRO) 2020 Annual Meeting. International Journal of Radiation Oncology - Biology – Physics. Volume 108, Issue 3, Supplement, E714, November 01, 2020
- Speckter, H., Santana, J., Bido, J., Hernandez, G., Rivera, D., Suazo, L., Valenzuela, S., Oviedo, J., Gonzalez, C., & Stoeter, P. Texture Analysis of Standard Magnetic Resonance Images to Predict Response to Gamma Knife Radiosurgery in Vestibular Schwannomas. World Neurosurgery. 2019, Sep; 132(1): e228-e234. Cited in PubMed; PMID: 31493607
- Speckter, H., Santana, J., Miches, I., Hernandez, G., Bido, J., Rivera, D., Suazo, L., Valenzuela, S., Garcia, J., & Stoeter, P. Assessment of the alpha/beta ratio of the optic pathway to adjust hypofractionated stereotactic radiosurgery regimens for perioptic lesions. Journal of Radiation Oncology. 2019, Sep; 8(1): 279–289.
- Imaging predictors of radiosurgery
- Neuro-oncologic imaging analysis
- MRI for functional and degenerative brain disorders
- Diffusion Tensor Imaging
- Speckter, H., Santana, J., Bido, J., Hernandez, G., Rivera, D., Suazo, L., Valenzuela, S., & Stoeter, P. Basic Pretreatment RADIOMICSFeatures to Predict SRS Outcome of Meningiomas and Vestibular Schwannomas. 105th Scientific Assembly and Annual Meeting, RSNA, Chicago, IL, USA. 2019, Dec.
- Speckter, H., Santana, J., Hernandez, G., Valenzuela, S., Suazo, L., Rivera, D., Bido, J. & Stoeter, P. Hypofractionated SRS versusSingle Session SRS for Perioptic Lesions. A Single-Center Study of 245 Patients. 105th Scientific Assembly and Annual Meeting, RSNA, Chicago, IL, USA. 2019, Dec.
- Speckter, H., Santana Luciano, J., Bido, J., Hernandez, G., Rivera, D., Suazo, L., Valenzuela, S., & Stoeter, P. Texture Analysis of Routine MRI Predicts Volumetric Response of Vestibular Schwannomas to Stereotactic Radiosurgery. 18th Biennial Meeting of the World Society for Stereotactic and Functional Neurosurgery (WSSFN 2019); New York City, NY, USA.
- Santana, J. (July, 2018). Medical Imaging as a Teaching Tool for the Neuroanatomy Laboratory. InterChair Workshop 2018, Facultad de Ciencias de la Salud, Universidad Autónoma de Santo Domingo; Santo Domingo, DOM.