PhD Scientific Days 2024

Pathological and Oncological Sciences II.

Optically Guided High-Frequency Ultrasound Imaging for Discrimination of Aggressive Basal Cell Carcinoma Subtypes: A Prospective Study

Előadó neve

Dr. Kiss, Norbert, PhD

Előadó munkahelye

Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary

Előadó telefonszáma

+36206701698

Előadó e-mail címe

kiss.norbert@med.semmelweis-univ.hu

Az előadás címe

Optically Guided High-Frequency Ultrasound Imaging for Discrimination of Aggressive Basal Cell Carcinoma Subtypes: A Prospective Study

Szerző(k) neve és munkahelye

Norbert Kiss¹, Szabolcs Bozsányi², Mehdi Boostani¹, Klára Farkas¹, Phyllida Hamilton-Meikle¹, Noémi Nóra Varga¹, Boglárka Szabó¹, Flóra Vasanits¹, Enikő Kuroli¹, Fanni Adél Meznerics¹, Kende Lőrincz¹, Péter Holló¹, András Bánvölgyi¹, Norbert M. Wikonkál¹, Gyorgy Paragh²

1: Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary
2: Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA

Bemutatás módja

Szóbeli

Szekció

Pathological and Oncological Sciences II.

Language of the presentation

English

Preferred session

Pathological and Oncological Sciences

Összefoglaló szövege

Introduction: Basal cell carcinoma (BCC) stands as the predominant form of skin malignancy. Presently, the histological subtype (HST) of BCC, pivotal for treatment stratification, necessitates invasive biopsy for definitive diagnosis.

Aims: This study endeavors to assess the potential of optically guided high-frequency ultrasound (OG-HFUS) imaging in discerning aggressive HST BCCs from their low-risk counterparts.

Method: A prospective investigation entailed clinical and dermoscopic evaluations of BCCs, followed by OG-HFUS imaging at 33 MHz, subsequent surgical excision, and histopathological analysis. 75 patients harboring 78 BCCs were recruited, with 63 lesions forming the basis for developing a novel OG-HFUS risk classification algorithm, and 15 utilized for algorithm validation. The cohort exhibited a mean age of 72.9 ± 11.2 years, with histological delineation identifying 16 lesions as aggressive HST (infiltrative or micronodular subtypes) and 47 as low-risk HST (superficial or nodular subtypes). Statistical analysis comprised a one-sided Fisher’s exact test for categorical assessment and Receiver Operating Characteristic (ROC) curve analysis for diagnostic accuracy evaluation.

Result: OG-HFUS discriminated aggressive BCC HSTs effectively, identifying irregular shape (p < 0.0001), ill-defined margins (p < 0.0001), and non-homogeneous internal echoes (p = 0.004). A risk-categorizing algorithm showed higher sensitivity (82.4%) and specificity (91.3%) than traditional evaluations (sensitivity: 40.1%, specificity: 73.1%). Dermoscopic assessment had PPV and NPV of 30.2% and 76.8%, while OG-HFUS-based algorithm showed PPV of 94.7% and NPV of 78.6%. Validation using independent images (n = 15) by blinded evaluators revealed sensitivity of 83.33% and specificity of 91.66%.

Conclusion: The study underscores OG-HFUS as a promising tool for identifying aggressive BCC HSTs, leveraging readily discernible morphological parameters to inform early therapeutic decision-making.

Funding: This research was funded by ÚNKP-23-4-II-SE-8 (N.K.), New National Excellence Program of the Ministry for Innovation and Technology (N.K.) and Semmelweis University: SE 250 + Excellence PhD Scholarship (M.B.).

University

Semmelweis University

Supervisor

N/A

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

4113

Start

16:45

End

16:55