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Nuclear Medicine Specialist, Radiologist
27 years of experience
Accepting new patients
Video profile


Education ?

Medical School
Smt. N.H.L. Municipal Medical College (1985)
Foreign school

Awards & Distinctions ?

Castle Connolly Top Doctors: New York Metro Area™ (2014 - 2015)
Castle Connolly's Top Doctors™ (2012 - 2013)
American Board of Radiology
American Board of Nuclear Medicine

Affiliations ?

Dr. Ghesani is affiliated with 12 hospitals.

Hospital Affiliations



  • Beth Israel Medical Center Petrie Division
    1755 1st Ave, New York, NY 10128
    Top 50%
  • St Luke's Roosevelt Hospital
    1111 Amsterdam Ave, New York, NY 10025
    Top 50%
  • St. Luke's Roosevelt Hospital/St. Luke's Hospital Division
    1111 Amsterdam Ave, New York, NY 10025
  • Beth Israel Medical Center - Kings Highway Division
    3201 Kings Hwy, Brooklyn, NY 11234
  • Beth Israel Medical Center
    10 Union Sq E, New York, NY 10003
  • Slrhc
  • Beth Israel Medical Center - Herbert & Neil Singer Division
    170 E End Ave, New York, NY 10128
  • Beth Israel Medical Center
  • Bimc
  • St Lukes Roosevelt Hospital CenterRoosevelt Hospital Division
  • St. Luke`s Hospital
  • Roosevelt Hospital
  • Publications & Research

    Dr. Ghesani has contributed to 1 publication.
    Title Lesion Size Determines Accuracy of Thallium-201 Brain Single-photon Emission Tomography in Differentiating Between Intracranial Malignancy and Infection in Aids Patients.
    Date December 2005
    Journal Ajnr. American Journal of Neuroradiology

    BACKGROUND AND PURPOSE: Discrimination between enhancing mass lesions in acquired immunodeficiency syndrome (AIDS) patients with conventional CT and MR imaging remains difficult. We determined the effect of lesion size on thallium-201 brain single-photon emission tomography (SPECT) imaging in differentiating primary brain lymphoma from cerebral toxoplasmosis. METHODS: We retrospectively identified 35 AIDS patients with a total of 48 focal enhancing mass lesions on contrast-enhanced brain CT and/or MR images who subsequently underwent thallium-201 brain SPECT imaging. The thallium index of each lesion was evaluated on the basis of the ratio of mean uptake in the lesion compared with the corresponding contralateral side. Receiver operator curves were drawn to determine the optimal thallium index threshold. The effect of lesion size on scan accuracy was evaluated. RESULTS: Malignant lesions in 20 patients had a mean thallium index of 2.4 (range, 1-11). Infectious lesions in 15 patients had a mean thallium index of 1.6 (range, 1-3.6). Twenty-five lesions were <2 cm (14 malignant, 11 nonmalignant) and 23 lesions were > or =2 cm (14 malignant, 9 nonmalignant). Thallium index was not a significant predictor of malignancy in the lesions <2 cm by using the logistic regression (P = .27). Receiver operator curve analysis by using thallium index of 2 in small lesions yielded 50% sensitivity and 82% specificity. In contrast, thallium index was a significant predictor of malignancy in lesions > or =2 cm (P < .01), yielding 100% sensitivity and 89% specificity. CONCLUSION: Lesion size is a significant determinant of the accuracy of thallium-201 brain SPECT imaging, which should be the initial diagnostic tool for lesions > or =2 cm.

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