Prone Photon-counting Computed Tomography With Iodine Mapping for Differentiating Breast Masses: A Prospective Study

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Authors: Caroline Wilpert, M. Pichotka, Moisés Felipe Molina-Fuentes, Jakob Weiss, Fabian Bamberg, Marisa Windfuhr‐Blum, Jakob Neubauer
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Abstract

Objectives: Photon-counting CT (PC-CT) offers higher spatial resolution and enables iodine quantification compared with conventional CT. Its potential role in breast imaging is currently under evaluation. Purpose: To assess whether prone-positioned PC-CT with iodine mapping can differentiate malignant from benign breast masses, and to evaluate the clinical utility of iodine mapping (PC-CTIodine), monoenergetic postcontrast images (PC-CTC+), and virtual noncontrast reconstructions (PC-CTVNC) for lesion conspicuity, image quality, anatomic correlation with MRI, and reader's preference. Materials and methods: This prospective single-center study (December 2021 to August 2023) included patients with biopsy-proven breast cancer who underwent thoracoabdominal PC-CT in prone, compression-free breast positioning, breast MRI, and tomosynthesis during staging. Reconstructions included PC-CTIodine, PC-CTC+ with 65 kiloelectronvolts (keV), and PC-CTVNC. Quantitative analysis included iodine concentrations and contrast-to-noise ratio (CNR), each with additional subtype analysis; qualitative ratings included lesion conspicuity, noise, artifacts, lesion localization, and reader preferences. Statistical analysis included Kruskal-Wallis, Friedman and Wilcoxon signed-rank tests, and Cohen kappa. Conclusion: Prone PC-CT with iodine mapping enables accurate lesion localization, quantification, and differentiation between malignant and benign breast masses. Compression-free breast positioning enhances localization accuracy. The method may serve as an accessible adjunct to MRI in staging, with complementary use of iodine and postcontrast reconstructions recommended for optimal assessment.

Fields of Study & Subjects

Advanced X-ray and CT Imaging Digital Radiography and Breast Imaging Medical Imaging Techniques and Applications

Publication details

Journal / source
Zurich Open Repository and Archive (University of Zurich)
Publication date
29 January 2026
Language
EN