Mehmet Gurcan

Dr. Mehmet Gurcan

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 May 2024 in Cureus
Verified
Journal Article
Open access
PDF file
MGMehmet Gurcan
Mehmet Gurcan
RERifat Burak Ergul
Rifat Burak Ergul
EDEnes Degirmenci
Enes Degirmenci
MDMurat Dursun
Murat Dursun
AKAteş Kadıoğlu
Ateş Kadıoğlu
Hydatid cyst disease, caused by the Echinococcus granulosus tapeworm larval form, typically affects the liver, lungs, and genitourinary tract. This case report details an unusual manifestation of hydatid cysts in a 62-year-old male with a history of retrovesical hydatid cyst surgery. The patient presented with pain at the root of the penis, and subsequent imaging revealed cysts in the suprapubic, pubic bone, and left pectineus muscle regions. Despite the challenges posed by the COVID-19 pandemic, the patient underwent surgical excision in 2023. The discussion emphasizes the rarity of such localized cysts, diagnostic imaging techniques, and the necessity of surgical intervention. The postoperative period involved a course of albendazole. While rectovesical hydatid cysts are uncommon, this case underscores the importance of considering them in the differential diagnosis of masses, particularly in endemic regions. Surgical excision remains the primary treatment for symptomatic hydatid cysts.

31 March 2026 in Biomedicines
Verified
Journal Article
Open access
PDF file
MGMehmet Gurcan
Mehmet Gurcan
YAYasin Ates
Yasin Ates
MEMert Emre Erden
Mert Emre Erden
RERifat Burak Ergül
Rifat Burak Ergül
AAAhmet Baris Aydin
Ahmet Baris Aydin
OSOner Sanli
Oner Sanli
Background: Transperineal magnetic resonance (MRI)/ultrasound (US) fusion-guided prostate biopsy has emerged as a promising alternative to the transrectal approach by improving lesion targeting and reducing infectious complications. However, real-world data addressing factors that influence the detection of clinically significant prostate cancer (csPCa), including imaging characteristics and procedural experience, remain limited. Objective: To evaluate the diagnostic performance, safety profile, and independent predictors of csPCa detection in patients who underwent transperineal MR/US fusion-guided prostate biopsy, with particular emphasis on PIRADS category, prostate-specific antigen (PSA) level, and procedural learning curve. Methods: In this study, patient data were prospectively recorded in a routinely maintained institutional database, while the present analysis was conducted retrospectively. A total of 136 patients with clinical suspicion of prostate cancer—defined as elevated prostate-specific antigen (PSA), abnormal digital rectal examination, or PIRADS ≥3 on multiparametric MRI—underwent transperineal MR/US fusion-guided biopsy between January 2023 and October 2024. Results: Prostate cancer was detected in 45.5% of patients, whereas csPCa was identified in 32.3%. The PIRADS category emerged as the strongest independent predictor of csPCa detection, with PIRADS-5 lesions showing a significantly greater likelihood of csPCa than PIRADS-3 lesions (OR 6.70, p = 0.006). The PSA level was also independently associated with csPCa detection (OR 1.06 per ng/mL increase, p = 0.033). Although csPCa detection rates increased across learning curve groups, procedural experience was not an independent predictor after adjustment. The procedure demonstrated a favorable safety profile, with a low rate of infectious and noninfectious complications despite minimal use of antibiotic prophylaxis. The multivariable model showed moderate explanatory power and acceptable overall classification accuracy. Conclusions: Transperineal MR/US fusion-guided prostate biopsy provides reliable detection of clinically significant prostate cancer with a low complication rate and consistent performance across different stages of institutional experience. The PIRADS category and PSA level remain key determinants of csPCa detection, supporting the integration of MRI-based risk stratification into contemporary prostate cancer diagnostic methods.