Mapping the Intratumoral and Peritumoral Microenvironment: Multilayered Shell ADC Analysis and Its Association with Multiparametric Biomarkers in Invasive Breast Cancer

The segmentation-based and improved multilayered shell model effectively captures the distance-dependent biological gradient of the peritumoral microenvironment. The intratumoral-to-peritumoral ADC ratios within the immediate 2 mm zone may provide complementary information regarding imaging markers of tumor aggressiveness when interpreted alongside absolute measurements. These findings suggest a potential role for these parameters as complementary imaging markers in preoperative risk stratification within a multiparametric framework.

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Publication Details

Journal
Tomography
Published
2026-03-31
DOI
https://doi.org/10.3390/tomography12040047
Primary Topic
MRI in cancer diagnosis
Type
article
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article

Mapping the Intratumoral and Peritumoral Microenvironment: Multilayered Shell ADC Analysis and Its Association with Multiparametric Biomarkers in Invasive Breast Cancer

Erdoğan Bülbül, Gülay Turan, Gülen Demirpolat, Adil Aytaç et al.
Tomography
MRI in cancer diagnosis
article

Mapping the Intratumoral and Peritumoral Microenvironment: Multilayered Shell ADC Analysis and Its Association with Multiparametric Biomarkers in Invasive Breast Cancer

Erdoğan Bülbül, Gülay Turan, Gülen Demirpolat, Adil Aytaç, Bahar Yanık Keyik
article en

Abstract

The segmentation-based and improved multilayered shell model effectively captures the distance-dependent biological gradient of the peritumoral microenvironment. The intratumoral-to-peritumoral ADC ratios within the immediate 2 mm zone may provide complementary information regarding imaging markers of tumor aggressiveness when interpreted alongside absolute measurements. These findings suggest a potential role for these parameters as complementary imaging markers in preoperative risk stratification within a multiparametric framework.

TomographyVol. 12(4)
Balıkesir University (TR)
Good health and well-being
Openalex Percentile: Top 33%
MRI in cancer diagnosis
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