Publication: Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings
| dc.contributor.author | BUĞDAYCI, ONUR | |
| dc.contributor.authors | Ertas, Gokhan; Onaygil, Can; Bugdayci, Onur; Aribal, Erkin | |
| dc.date.accessioned | 2022-03-14T08:41:28Z | |
| dc.date.available | 2022-03-14T08:41:28Z | |
| dc.date.issued | 2018-05-16 | |
| dc.description.abstract | Objective: To investigate the diagnostic value of dual-phase apparent diffusion coefficient (ADC) compared to traditional ADC values in quantitative diffusion-weighted imaging (DWI) for differentiating between benign and malignant breast masses. Materials and Methods: Diffusion-weighted images of pathologically confirmed 88 benign and 85 malignant lesions acquired using a 3.0T MR scanner were analyzed. Small region-of-interests focusing on the highest signal intensity of lesions were used. Lesion ADC estimates were obtained separately from all b-value images (ADC; b=50, 400 and 800s/mm(2)), lower b-value images (ADC low; b=50 and 400s/mm2) and higher b-value images (ADC(high); b=400 and 800s/mm(2)). A set of dual-phase ADC (dpADC) models were constructed using ADC low, ADC high and a perfusion influence factor ranging from 0 to 1. Results: Strong positive correlation is observable between ADC and all dpADCs (rho=0.80-1.00). Differences in ADC and dpADCs between the benign and the malignant lesions are all significant (p<0.05). In detecting malignancy, traditional lesion ADC provides a good performance (AUC=89.9%) however dpADC(0.5) (dpADC with a factor of 0.5) accomplishes a better performance (AUC=90.8%). At optimal thresholds, ADC achieves 94.1% sensitivity, 72.7% specificity and 83.2% accuracy while dpADC(0.5) leads to 92.9% sensitivity, 79.5% specificity and 86.1% accuracy. Conclusion: Dual-phase ADC modelling may improve the accuracy in breast cancer diagnosis using DWI. Further prospective studies are needed to justify its benefit in clinical setting. | |
| dc.identifier.doi | 10.5152/ejbh.2018.3829 | |
| dc.identifier.eissn | 2587-0831 | |
| dc.identifier.pubmed | 29774316 | |
| dc.identifier.uri | https://hdl.handle.net/11424/242137 | |
| dc.identifier.wos | WOS:000436143100007 | |
| dc.language.iso | eng | |
| dc.publisher | AVES | |
| dc.relation.ispartof | EUROPEAN JOURNAL OF BREAST HEALTH | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Breast | |
| dc.subject | diffusion-weighted imaging | |
| dc.subject | apparent diffusion coefficient | |
| dc.subject | dual-phase | |
| dc.subject | INTRAVOXEL INCOHERENT MOTION | |
| dc.subject | DIFFERENTIAL-DIAGNOSIS | |
| dc.subject | CLINICAL-APPLICATIONS | |
| dc.subject | COEFFICIENT VALUES | |
| dc.subject | 3.0 TESLA | |
| dc.subject | MRI | |
| dc.subject | CANCER | |
| dc.subject | LESIONS | |
| dc.subject | CHALLENGES | |
| dc.subject | PRINCIPLES | |
| dc.title | Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings | |
| dc.type | article | |
| dspace.entity.type | Publication | |
| local.avesis.id | 5e6b50d2-092e-425c-bb48-737c10fe31c0 | |
| local.import.package | SS16 | |
| local.indexed.at | WOS | |
| local.indexed.at | PUBMED | |
| local.indexed.at | TRDIZIN | |
| local.journal.numberofpages | 8 | |
| oaire.citation.endPage | 92 | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 85 | |
| oaire.citation.title | EUROPEAN JOURNAL OF BREAST HEALTH | |
| oaire.citation.volume | 14 | |
| relation.isAuthorOfPublication | 09a6d1f6-4818-4911-b69c-bd4ece9c9d3a | |
| relation.isAuthorOfPublication.latestForDiscovery | 09a6d1f6-4818-4911-b69c-bd4ece9c9d3a |
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