Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI
IntroductionPrecise understanding of proliferative activity in breast cancer holds significant value in the monitoring of neoadjuvant treatment, while current immunostaining of Ki-67 from biopsy or resected tumour suffers from partial sampling error. Multi-compartment model of transverse relaxation...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1482112/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832582235681718272 |
|---|---|
| author | Kangwa Alex Nkonde Kangwa Alex Nkonde Sai Man Cheung Nicholas Senn Jiabao He |
| author_facet | Kangwa Alex Nkonde Kangwa Alex Nkonde Sai Man Cheung Nicholas Senn Jiabao He |
| author_sort | Kangwa Alex Nkonde |
| collection | DOAJ |
| description | IntroductionPrecise understanding of proliferative activity in breast cancer holds significant value in the monitoring of neoadjuvant treatment, while current immunostaining of Ki-67 from biopsy or resected tumour suffers from partial sampling error. Multi-compartment model of transverse relaxation time has been proposed to differentiate intra- and extra-cellular space and biochemical environment but susceptible to noise, with recent development of Bayesian algorithm suggested to improve robustness. We hence hypothesise that intra- and extra-cellular transverse relaxation times using Bayesian algorithm might be sensitive to proliferative activity.Materials and methodsTwenty whole tumour specimens freshly excised from patients with invasive ductal carcinoma were scanned on a 3 T clinical scanner. The overall transverse relaxation time was computed using a single-compartment model with the non-linear least squares algorithm, while intra- and extra-cellular transverse relaxation times were computed using a multi-compartment model with the Bayesian algorithm. Immunostaining of Ki-67 was conducted, yielding 9 and 11 cases with high and low proliferating activities respectively.ResultsFor single-compartment model, there was a significant higher overall transverse relaxation time (p = 0.031) in high (83.55 ± 7.38 ms) against low (73.30 ± 11.30 ms) proliferating tumours. For multi-compartment model, there was a significant higher intra-cellular transverse relaxation time (p = 0.047) in high (73.52 ± 10.92 ms) against low (61.30 ± 14.01 ms) proliferating tumours. There was no significant difference in extra-cellular transverse relaxation time (p = 0.203) between high and low proliferating tumours.ConclusionsOverall and Bayesian intra-cellular transverse relaxation times are associated with proliferative activities in breast tumours, potentially serving as a non-invasive imaging marker for neoadjuvant treatment monitoring. |
| format | Article |
| id | doaj-art-6d646dc189e24689ac2c61d1c7b4957c |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-6d646dc189e24689ac2c61d1c7b4957c2025-01-30T05:10:03ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011510.3389/fonc.2025.14821121482112Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRIKangwa Alex Nkonde0Kangwa Alex Nkonde1Sai Man Cheung2Nicholas Senn3Jiabao He4Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United KingdomDepartment of Physics, School of Natural and Applied Sciences, Mulungushi University, Kabwe, ZambiaTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United KingdomInstitute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United KingdomTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United KingdomIntroductionPrecise understanding of proliferative activity in breast cancer holds significant value in the monitoring of neoadjuvant treatment, while current immunostaining of Ki-67 from biopsy or resected tumour suffers from partial sampling error. Multi-compartment model of transverse relaxation time has been proposed to differentiate intra- and extra-cellular space and biochemical environment but susceptible to noise, with recent development of Bayesian algorithm suggested to improve robustness. We hence hypothesise that intra- and extra-cellular transverse relaxation times using Bayesian algorithm might be sensitive to proliferative activity.Materials and methodsTwenty whole tumour specimens freshly excised from patients with invasive ductal carcinoma were scanned on a 3 T clinical scanner. The overall transverse relaxation time was computed using a single-compartment model with the non-linear least squares algorithm, while intra- and extra-cellular transverse relaxation times were computed using a multi-compartment model with the Bayesian algorithm. Immunostaining of Ki-67 was conducted, yielding 9 and 11 cases with high and low proliferating activities respectively.ResultsFor single-compartment model, there was a significant higher overall transverse relaxation time (p = 0.031) in high (83.55 ± 7.38 ms) against low (73.30 ± 11.30 ms) proliferating tumours. For multi-compartment model, there was a significant higher intra-cellular transverse relaxation time (p = 0.047) in high (73.52 ± 10.92 ms) against low (61.30 ± 14.01 ms) proliferating tumours. There was no significant difference in extra-cellular transverse relaxation time (p = 0.203) between high and low proliferating tumours.ConclusionsOverall and Bayesian intra-cellular transverse relaxation times are associated with proliferative activities in breast tumours, potentially serving as a non-invasive imaging marker for neoadjuvant treatment monitoring.https://www.frontiersin.org/articles/10.3389/fonc.2025.1482112/fullneoadjuvant treatmentBayesianKi-67intra-cellularextra-cellularbiochemical environment |
| spellingShingle | Kangwa Alex Nkonde Kangwa Alex Nkonde Sai Man Cheung Nicholas Senn Jiabao He Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI Frontiers in Oncology neoadjuvant treatment Bayesian Ki-67 intra-cellular extra-cellular biochemical environment |
| title | Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI |
| title_full | Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI |
| title_fullStr | Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI |
| title_full_unstemmed | Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI |
| title_short | Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI |
| title_sort | understanding cellular proliferation activity in breast cancer using multi compartment model of transverse relaxation time mapping on 3t mri |
| topic | neoadjuvant treatment Bayesian Ki-67 intra-cellular extra-cellular biochemical environment |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1482112/full |
| work_keys_str_mv | AT kangwaalexnkonde understandingcellularproliferationactivityinbreastcancerusingmulticompartmentmodeloftransverserelaxationtimemappingon3tmri AT kangwaalexnkonde understandingcellularproliferationactivityinbreastcancerusingmulticompartmentmodeloftransverserelaxationtimemappingon3tmri AT saimancheung understandingcellularproliferationactivityinbreastcancerusingmulticompartmentmodeloftransverserelaxationtimemappingon3tmri AT nicholassenn understandingcellularproliferationactivityinbreastcancerusingmulticompartmentmodeloftransverserelaxationtimemappingon3tmri AT jiabaohe understandingcellularproliferationactivityinbreastcancerusingmulticompartmentmodeloftransverserelaxationtimemappingon3tmri |