Background: We evaluated the diagnostic performance of the baseline diffusion weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the prediction of a complete pathologic response (pCR) to neoadjuvant chemotherapy (NAC) in patients with breast cancer stratified according to the tumor phenotype.

Patients And Methods: We retrospectively studied 225 patients with stage II, III, and IV breast cancer who had undergone contrast-enhanced magnetic resonance imaging (MRI) and DWI before and after NAC, followed by breast surgery.

Results: The tumor phenotypes were luminal (n = 143; 63.6%), triple-negative (TN) (n = 37; 16.4%), human epidermal growth factor receptor 2 (HER2)-enriched (n = 17; 7.6%), and hybrid (hormone receptor-positive/HER2(+); n = 28; 12.4%). After NAC, a pCR was observed in 39 patients (17.3%). No statistically significant difference was observed in the mean ADC value between a pCR and no pCR in the general population (1.132 ± 0.191 × 10(-3) mm(2)/s vs. 1.092 ± 0.189 × 10(-3) mm(2)/s, respectively; P = .23). The optimal ADC cutoff value in the general population was 0.975 × 10(-3) mm(2)/s (receiver operating characteristic [ROC] area under the curve [AUC], 0.587 for the prediction of a pCR). After splitting the population into subgroups according to tumor phenotype, we observed a significant or nearly significant difference in the mean ADC value among the responders versus the nonresponders in the TN (P = .06) and HER2(+) subgroups (P = .05). No meaningful difference was seen in the luminal and hybrid subgroups (P = .59 and P = .53, respectively). In contrast, in the TN and HER2(+) subgroups (cutoff value, 0.995 × 10(-3) mm(2)/s and 0.971 × 10(-3) mm(2)/s, respectively), we observed adequate ROC AUCs (0.766 and 0.813, respectively).

Conclusion: The pretreatment ADC value is not capable of predicting the pCR in the overall population of patients with locally advanced breast cancer. Nonetheless, an ameliorated diagnostic performance was observed in specific phenotype subgroups (ie, TN and HER2(+) tumors).

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clbc.2015.02.002DOI Listing

Publication Analysis

Top Keywords

10-3 mm2/s
20
breast cancer
16
apparent diffusion
8
diffusion coefficient
8
neoadjuvant chemotherapy
8
patients locally
8
locally advanced
8
advanced breast
8
diagnostic performance
8
general population
8

Similar Publications

Article Synopsis
  • This study explored the use of diffusion-weighted MRI to evaluate prostate cancer patients with Gleason score 7 tumors before radiotherapy, focusing on the correlation between MRI results, cancer characteristics, and treatment outcomes.
  • It was found that tumors classified as GS 3+4 had higher ADC values compared to GS 4+3 tumors, indicating a difference in disease aggression, with lower ADC values linked to poorer survival rates.
  • The research concluded that ADC values could serve as an effective biomarker to distinguish between different types of GS 7 tumors, with lower values correlating with a higher risk of disease progression and worse long-term outcomes.
View Article and Find Full Text PDF

Multiparametric Magnetic Resonance Imaging Assessment of Primary Tumors for Predicting Axillary Tumor Burden in Women with Invasive Breast Cancer.

Br J Radiol

November 2024

Department of Plastic and Reconstructive Surgery, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.

Article Synopsis
  • This study investigates how features seen in multiparametric MRI of breast tumors relate to the amount of tumor found in axillary lymph nodes for women with invasive breast cancer.
  • Key findings indicate that factors like peritumoral edema, lower ADC values, larger tumor size, and certain histological types are linked to a higher number of affected lymph nodes.
  • The research concludes that MRI characteristics, specifically peritumoral edema and ADCmax values, can help predict how much cancer has spread to the lymph nodes.
View Article and Find Full Text PDF
Article Synopsis
  • The study evaluates the use of apparent diffusion coefficient (ADC) values in MRI to differentiate between fungal and bacterial skull base osteomyelitis (SBO).
  • Researchers conducted a retrospective review of 142 SBO patients and found that the most common pathogens were Pseudomonas, Aspergillus, and Staphylococcus aureus.
  • Despite noting a difference in the average ADC values between infected and normal tissues, the results showed no significant difference between the ADC values of bacterial and fungal SBO, highlighting the importance of early biopsies for accurate diagnosis.
View Article and Find Full Text PDF
Article Synopsis
  • This study compares imaging features of multiple sclerosis (MS) and CADASIL in middle-aged patients, revealing key differences between the two conditions.
  • Patients with CADASIL showed more involvement of the external capsule and a higher incidence of microbleeds, while MS patients had more lesions in the corpus callosum and brainstem, as well as a thinner corpus callosum overall.
  • The research suggests that specific imaging metrics can help differentiate between MS and CADASIL, highlighting varying patterns of white matter lesions and diffusion characteristics in these conditions.
View Article and Find Full Text PDF

Purpose: This study aimed to evaluate the diagnostic performance of combining diffusion-weighted imaging (DWI) with T2-weighted imaging (T2WI) for detecting muscularis propria invasion in rectal cancer.

Methods: We conducted a retrospective analysis of MR images from 76 patients with pathologically confirmed rectal cancer between January 2018 and June 2022. Patients were categorized into invasion and non-invasion groups.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!