Threshold optimization for lesion size in lutetium-177 single-photon emission computed tomography imaging: a phantom-based evaluation

A single fixed threshold is insufficient for accurate Lu-177 SPECT/CT dosimetry across diverse lesion sizes. Size-adaptive thresholding combined with optimized reconstruction parameters improves lesion delineation, enhances quantitative accuracy, and reduces dosimetric uncertainty in clinical practice.

Authors

Ahmet Murat Şenışık (ORCID: https://orcid.org/0000-0002-7781-3355)
Eda MUTLU (ORCID: https://orcid.org/0000-0002-3972-7309)
Serkan Kuyumcu
Bilal Kovan (ORCID: https://orcid.org/0000-0002-4431-8358)
Bayram Demir (ORCID: https://orcid.org/0000-0001-6815-6384)

Institutions

Altınbaş University (TR)
Istanbul University (TR)

Publication Details

Journal: Nuclear Medicine Communications
Published: 2025-11-20
DOI: https://doi.org/10.1097/mnm.0000000000002084
Primary Topic: Medical Imaging Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Threshold optimization for lesion size in lutetium-177 single-photon emission computed tomography imaging: a phantom-based evaluation

Ahmet Murat Şenışık, Eda MUTLU, Serkan Kuyumcu, Bilal Kovan et al.

Nov 20, 2025

Nuclear Medicine Communications

Medical Imaging Techniques and Applications

article

Threshold optimization for lesion size in lutetium-177 single-photon emission computed tomography imaging: a phantom-based evaluation

Ahmet Murat Şenışık, Eda MUTLU, Serkan Kuyumcu, Bilal Kovan, Bayram Demir

November 20, 2025article en

Abstract

A single fixed threshold is insufficient for accurate Lu-177 SPECT/CT dosimetry across diverse lesion sizes. Size-adaptive thresholding combined with optimized reconstruction parameters improves lesion delineation, enhances quantitative accuracy, and reduces dosimetric uncertainty in clinical practice.

Nuclear Medicine CommunicationsVol. 47(2)

Altınbaş University (TR), Istanbul University (TR)

Openalex Percentile: Top 50%

Medical Imaging Techniques and Applications

DOI Source OpenAlex

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