Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology

<b>Background/Objectives</b>: Testicular ultrasound (US) imaging is a critical modality for diagnosing a variety of testicular pathologies, including malignancies. This study aimed to develop and validate a standardized diagnostic algorithm to enhance diagnostic accuracy and consistency...

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Main Authors: Roxana Pintican, Alexandru Negrea, Isabell Boll, Bianca Boca, Diana Gherman, Marilena Bora, Sorin Dudea, Anca Ciurea
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
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Online Access:https://www.mdpi.com/2075-4418/15/8/951
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author Roxana Pintican
Alexandru Negrea
Isabell Boll
Bianca Boca
Diana Gherman
Marilena Bora
Sorin Dudea
Anca Ciurea
author_facet Roxana Pintican
Alexandru Negrea
Isabell Boll
Bianca Boca
Diana Gherman
Marilena Bora
Sorin Dudea
Anca Ciurea
author_sort Roxana Pintican
collection DOAJ
description <b>Background/Objectives</b>: Testicular ultrasound (US) imaging is a critical modality for diagnosing a variety of testicular pathologies, including malignancies. This study aimed to develop and validate a standardized diagnostic algorithm to enhance diagnostic accuracy and consistency in evaluating testicular lesions, particularly for distinguishing between benign and malignant conditions. <b>Methods</b>: The algorithm was applied retrospectively to 110 testicular imaging cases, including 90 abnormal and 20 normal cases, analyzed by three radiologists with varying experience levels. Key diagnostic features, including lesion morphology, vascularity, and echotexture, were evaluated to guide the differentiation process. <b>Results</b>: demonstrated high diagnostic accuracy, with sensitivity reaching 100% for detecting abnormal cases and specificity ranging between 80% and 95%. In distinguishing benign from malignant lesions, the algorithm achieved an area under the curve (AUC) of up to 0.917, with specificities exceeding 93%. Notably, strong inter-rater agreement was observed, underscoring the algorithm’s reliability across different expertise levels. While the algorithm significantly improved standardization and diagnostic performance, some variability in sensitivity for less experienced evaluators highlights the need for further refinement. <b>Conclusions</b>: This study shows that the proposed diagnostic algorithm is an effective tool for testicular US, facilitating accurate and reproducible assessments, which are crucial for early detection and optimal management of testicular pathologies.
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spelling doaj-art-332c5dac4ace4f8ea4bd49121bdfac492025-08-20T02:28:20ZengMDPI AGDiagnostics2075-44182025-04-0115895110.3390/diagnostics15080951Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular PathologyRoxana Pintican0Alexandru Negrea1Isabell Boll2Bianca Boca3Diana Gherman4Marilena Bora5Sorin Dudea6Anca Ciurea7Department of Radiology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, RomaniaDepartment of Emergency, County Emergency Hospital, 400347 Cluj-Napoca, RomaniaDepartment of Radiology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, RomaniaDepartment of Imaging, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, RomaniaDepartment of Radiology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, RomaniaDepartment of Radiology, County Emergency Hospital, 400347 Cluj-Napoca, RomaniaDepartment of Radiology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, RomaniaDepartment of Radiology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania<b>Background/Objectives</b>: Testicular ultrasound (US) imaging is a critical modality for diagnosing a variety of testicular pathologies, including malignancies. This study aimed to develop and validate a standardized diagnostic algorithm to enhance diagnostic accuracy and consistency in evaluating testicular lesions, particularly for distinguishing between benign and malignant conditions. <b>Methods</b>: The algorithm was applied retrospectively to 110 testicular imaging cases, including 90 abnormal and 20 normal cases, analyzed by three radiologists with varying experience levels. Key diagnostic features, including lesion morphology, vascularity, and echotexture, were evaluated to guide the differentiation process. <b>Results</b>: demonstrated high diagnostic accuracy, with sensitivity reaching 100% for detecting abnormal cases and specificity ranging between 80% and 95%. In distinguishing benign from malignant lesions, the algorithm achieved an area under the curve (AUC) of up to 0.917, with specificities exceeding 93%. Notably, strong inter-rater agreement was observed, underscoring the algorithm’s reliability across different expertise levels. While the algorithm significantly improved standardization and diagnostic performance, some variability in sensitivity for less experienced evaluators highlights the need for further refinement. <b>Conclusions</b>: This study shows that the proposed diagnostic algorithm is an effective tool for testicular US, facilitating accurate and reproducible assessments, which are crucial for early detection and optimal management of testicular pathologies.https://www.mdpi.com/2075-4418/15/8/951testicularUSdiagnostic algorithmstandardized reportingtesticular cancer
spellingShingle Roxana Pintican
Alexandru Negrea
Isabell Boll
Bianca Boca
Diana Gherman
Marilena Bora
Sorin Dudea
Anca Ciurea
Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
Diagnostics
testicular
US
diagnostic algorithm
standardized reporting
testicular cancer
title Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
title_full Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
title_fullStr Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
title_full_unstemmed Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
title_short Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology
title_sort development and validation of an ultrasound imaging algorithm for structured reporting in testicular pathology
topic testicular
US
diagnostic algorithm
standardized reporting
testicular cancer
url https://www.mdpi.com/2075-4418/15/8/951
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