PURPOSE OF REVIEW: The application of artificial intelligence (AI) to enhance clinical decision-making in Peyronies disease (PD) has generated significant interest. This review explores the current landscape of AI in PD evaluation. RECENT FINDINGS: Recent advances in 3D modeling offer a more sophisticated approach to assessing PD deformities; however, the implementation of 3D modeling in clinical practice faces challenges, including the need for specialized equipment and time-consuming data processing, sometimes taking several hours of labor. AI holds promise for overcoming these hurdles through its ability to efficiently process large volumes of data and to perform accurate predictions based on such data. Future integration of AI with 3D modeling techniques could revolutionize PD evaluation by improving patient counseling, surgical planning, and clinical decision-making. Significant gaps in the literature have yet to be addressed, including the absence of robust evidence that incorporating such technology is superior to standard diagnostics.

Introduction

Collagenase Clostridium histolyticum (CCH) remains the only Food and Drug Administration-approved medical treatment for Peyronie's disease (PD). The initial IMPRESS I and II trials (Investigation for Maximal Peyronie's Reduction Efficacy and Safety), which led to Food and Drug Administration approval, revealed a rate of treatment-related adverse events as high as 84%. Studies fail to provide clear definitions of complications.

Objectives

To review complications, provide a CCH complication atlas, and propose management strategies for commonly encountered complications.

Methods

We performed a literature review using PubMed. A photographic atlas was provided regarding complications in patients in a high-volume CCH center for PD.

Results

Complications were identified and classified by nature and severity. We followed a standardized previously published grading system for hematomas. Complications include bruising, swelling, hematoma formation, back pain, and, rarely, corporal rupture. Complications were discussed, and hematomas were graded by penile surface area. Complication photographs were graded and displayed. Treatment-related adverse effects do not affect overall results.

Conclusion

Recognizing and grading complications associated with CCH therapy for PD is crucial for effective patient management and informed decision making. A standardized grading system allows for consistency in reporting and comparing hematoma complication rates across studies and patient populations. Herein we provide images that will help clinicians identify and confidently manage common complications that may occur in any CCH program.