DR. PERINCHERY NARAYAN, M.D.
Urology at 43 St, Gainesville, FL

License number
Florida ME 76357
Category
Radiology
Type
Urology
Address
Address
3426 NW 43Rd St SUITE B, Gainesville, FL 32606
Phone
(352) 338-2089
(352) 338-1415 (Fax)

Personal information

See more information about PERINCHERY NARAYAN at radaris.com
Name
Address
Phone
Perinchery Narayan
610 NW 36Th Dr, Gainesville, FL 32607
Perinchery Narayan
6520 NW 50Th Ln, Gainesville, FL 32653
Perinchery Narayan
Gainesville, FL
(352) 271-0563
Perinchery Narayan
6520 SW 54Th Ln, Miami, FL 33155
Perinchery Narayan
9505 SW 50Th Rd, Gainesville, FL 32608

Organization information

See more information about PERINCHERY NARAYAN at bizstanding.com

Perinchery Narayan MD

3426 NW 43 St STE B, Gainesville, FL 32606

Industry:
Urologist
Doing business as:
Perinchery Narayan MD,MBBS,BS
Phone:
(352) 338-2089 (Phone)
Perinchery Narayan
Categories:
Urology Physicians & Surgeons

Professional information

Perinchery Narayan Photo 1

Dr. Perinchery Narayan - MD (Doctor of Medicine)

Specialties:
Urology
Certifications:
Urology, 1983
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
North Florida Urology Assocs
3426 NW 43Rd St SUITE B, Gainesville 32606
North Florida Urology Assocs
3426 NW 43Rd St SUITE B, Gainesville 32606
Education:
Medical School
University of Florida
St Marthas Hosp
Maimonides Medical Center
U Minn Hosps
Harvard Medical School


Perinchery Narayan Photo 2

Perinchery Narayan, Gainesville FL

Specialties:
Urologist
Address:
3426 Nw 43Rd St, Gainesville, FL 32606
Education:
St. John's Medical College - Doctor of Medicine
Board certifications:
American Board of Urology Certification in Urology


Perinchery Narayan Photo 3

Method For Diagnosing And Staging Prostate Cancer

US Patent:
6004267, Dec 21, 1999
Filed:
Mar 6, 1998
Appl. No.:
9/036307
Inventors:
Ashutosh Tewari - Gainesville FL
Perinchery Narayan - Gainesville FL
Assignee:
University of Florida - Gainesville FL
International Classification:
A01B 500
US Classification:
600300
Abstract:
The subject invention provides a method for diagnosing prostate cancer and determining preoperatively the pathological stage in patients with prostate cancer. The methods described herein can be used for prediction of margin positivity, seminal vesicle (S. V. ) involvement, and lymph nodal (L. N. ) involvement in patients with clinically localized prostate cancer. The method includes use of a neural network which provides prostate cancer stage information for a patient based upon input data which includes the patient's preoperative serum PSA, biopsy Gleason score, and systemic biopsy-based information. Its positive predictive value (PPV), negative predictive value (NPV), and accuracy are superior to that of current nomograms in use. Use of this method can result in enormous cost savings by accurately diagnosing patients with prostate cancer and by avoiding multiple imaging tests and expensive surgery in unindicated patients.