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Dual-energy Computed Tomography Iodine Map for Breast Cancer: Comparison With Dynamic Contrast-enhanced Magnetic Resonance Imaging
by
KANEKO, MAYUMI
, GODA, NORIKO
, FUNAKOSHI, MAHITO
, ONO, CHIAKI
, MUKAIDA, HIDENORI
2023
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Dual-energy Computed Tomography Iodine Map for Breast Cancer: Comparison With Dynamic Contrast-enhanced Magnetic Resonance Imaging
by
KANEKO, MAYUMI
, GODA, NORIKO
, FUNAKOSHI, MAHITO
, ONO, CHIAKI
, MUKAIDA, HIDENORI
2023
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Dual-energy Computed Tomography Iodine Map for Breast Cancer: Comparison With Dynamic Contrast-enhanced Magnetic Resonance Imaging
Journal Article
Dual-energy Computed Tomography Iodine Map for Breast Cancer: Comparison With Dynamic Contrast-enhanced Magnetic Resonance Imaging
2023
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Overview
The characteristics of different breast cancers imaged using dual-energy computed tomography (DECT) are unknown. Furthermore, the differences between DECT and magnetic resonance imaging (MRI) in the ability to assess tumor extent have not been clarified. Therefore, this study aimed to evaluate the effectiveness of DECT iodine maps compared to contrast-enhanced MRI in patients with operable breast cancer.BACKGROUND/AIMThe characteristics of different breast cancers imaged using dual-energy computed tomography (DECT) are unknown. Furthermore, the differences between DECT and magnetic resonance imaging (MRI) in the ability to assess tumor extent have not been clarified. Therefore, this study aimed to evaluate the effectiveness of DECT iodine maps compared to contrast-enhanced MRI in patients with operable breast cancer.Clinicopathological data from 858 patients with breast cancer who underwent resection after DECT (100/140 kv) and MRI during 2012-2021 were collected. Tumoral iodine concentration (IC; max/Δ) was analyzed from iodine maps. Factors associated with the ability of iodine maps and MRI to predict tumor extent were analyzed with reference to resected specimens' pathological diagnosis.PATIENTS AND METHODSClinicopathological data from 858 patients with breast cancer who underwent resection after DECT (100/140 kv) and MRI during 2012-2021 were collected. Tumoral iodine concentration (IC; max/Δ) was analyzed from iodine maps. Factors associated with the ability of iodine maps and MRI to predict tumor extent were analyzed with reference to resected specimens' pathological diagnosis.IC parameters varied according to the tumors' histological types and were correlated with the estrogen receptor, histological grade, and Ki-67 labeling index. In 86.2% of patients with invasive carcinoma with intraductal extension, images and resected specimen mapping were matched. Iodine maps were less accurate than MRI in identifying tumor borders in 9.8% and more accurate in 2.1% of patients. The discrepancies in assessing tumor borders between imaging modalities were associated with the tumor's IC parameters and mammary gland status.RESULTSIC parameters varied according to the tumors' histological types and were correlated with the estrogen receptor, histological grade, and Ki-67 labeling index. In 86.2% of patients with invasive carcinoma with intraductal extension, images and resected specimen mapping were matched. Iodine maps were less accurate than MRI in identifying tumor borders in 9.8% and more accurate in 2.1% of patients. The discrepancies in assessing tumor borders between imaging modalities were associated with the tumor's IC parameters and mammary gland status.Differences in assessment between DECT and MRI in operable breast cancer are associated with IC parameters and background parenchymal enhancement. Therefore, evaluating tumor extent using DECT considering these characteristics appears to be a feasible approach.CONCLUSIONDifferences in assessment between DECT and MRI in operable breast cancer are associated with IC parameters and background parenchymal enhancement. Therefore, evaluating tumor extent using DECT considering these characteristics appears to be a feasible approach.
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