Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma.
This letter to the editor discusses a recent multi-institutional study that developed a noninvasive deep learning-based radiomics score derived from preoperative magnetic resonance imaging (MRI) to predict event-free survival in pediatric hepatoblastoma. The original study by Yang and Li published in World Journal of Radiology, leveraged convolutional neural networks to extract high-dimensional features from T1 and T2 sequences, the researchers developed an integrated nomogram that combines these imaging signatures with traditional markers like alpha-fetoprotein and the pretreatment extension of disease stage. This model significantly outperforms standard clinical predictors, offering preliminary evidence for an MRI-based approach to preoperative risk stratification that warrants further large-scale validation.
- Research Article
16
- 10.1007/s00330-018-5952-7
- Jan 7, 2019
- European Radiology
To investigate and compare the effect of preoperative breast magnetic resonance (MR) imaging on recurrence-free survival (RFS) and overall survival (OS) outcomes among patients with invasive lobular carcinoma (ILC). A total of 287 ILC patients between January 2005 and December 2012 were included. One hundred twenty (41.8%) had undergone preoperative breast MR imaging (MR group) and 167 (58.2%) had not (no MR group). Two groups were matched for 21 covariates in terms of patient demographics, tumor characteristics, and clinical features. We compared unmatched variables between the patients with and without breast MR imaging using the chi-square or Student's t test. Comparisons of matched data were performed with McNemar's test or test of symmetry for categorical variables and paired t test for continuous variables. The RFS and OS outcomes were compared using the Kaplan-Meier estimates. MR effects were estimated after adjusting for significant potential confounders of specific outcomes in the multivariable modeling. In the matched cohort, no statistically significant association was observed between MR imaging and total recurrence (hazard ratio [HR], 1.096; p = 0.821), loco-regional recurrence (HR, 1.204; p = 0.796), contralateral breast recurrence (HR, 0.945; p = 0.952), or distant recurrence (HR, 1.020; p = 0.973). MR imaging was associated with improved OS with 51% reduction, but not significantly (HR, 0.485; p = 0.231). Analysis with multivariable Cox regression model indicated that MR imaging was not significant independent factor for better RFS (HR, 0.823; p = 0.586) or improved OS (HR, 0.478; p = 0.168). Preoperative MR imaging is not significant prognostic factor and produces no apparent recurrence or survival outcome benefits in ILC patients. • Preoperative breast MR imaging in invasive lobular carcinoma was associated with a better overall survival with 51% reduction, but not statistically significant. • Preoperative breast MR imaging does not show significant prognostic value in invasive lobular carcinoma as there is no apparent benefit in terms of recurrence or survival outcomes.
- Research Article
22
- 10.1007/s00234-011-0970-z
- Oct 18, 2011
- Neuroradiology
Continuing the search for MR imaging biomarkers for MGMT promoter methylation status: conventional and perfusion MRI revisited
- Research Article
29
- 10.1001/archsurg.2012.1660
- Sep 1, 2012
- Archives of Surgery
The use of preoperative magnetic resonance (MR) imaging may have an effect on the reoperation rate in women with operable breast cancer. Retrospective cohort study. University medical center. Women with operable breast cancer treated by a single surgeon between January 1, 2006, and December 31, 2010. Selective preoperative MR imaging based on breast density and histologic findings. Reoperation rate and pathologically avoidable mastectomy at initial operation. Of 313 patients in the study, 120 underwent preoperative MR imaging. Patients undergoing MR imaging were younger (mean age, 53.6 vs 59.5 years; P < .001), were more often of non-Hispanic white race/ethnicity (61.7% vs 52.3%, P < .05), and more likely had heterogeneously dense or very dense breasts (68.4% vs 22.3%, P < .001). The incidence of lobular carcinoma (8.3% in the MR imaging group vs 5.2% in the no MR imaging group, P = .27) and the type of surgery performed (mastectomy vs partial mastectomy, P = .67) were similar in both groups. The mean pathological size of the index tumor in the MR imaging group was larger than that in the no MR imaging group (2.02 vs 1.72 cm, P = .009), but the extent of disease was comparable (75.8% in the MR imaging group vs 82.9% in the no MR imaging group had pathologically localized disease, P = .26). The reoperation rate was similar between the 2 groups (19.1% in the MR imaging group vs 17.6% in the no MR imaging group, P = .91) even when stratified by breast density (P = .76), pT2 tumor size (P = .35), or lobular carcinoma histologic findings (P = .26). Pathologically avoidable mastectomy (multifocal or multicentric MR imaging and unifocal histopathological findings) was observed in 12 of 47 patients (25.5%) with preoperative MR imaging who underwent mastectomy. The selective use of preoperative MR imaging to decrease reoperation in women with breast cancer is not supported by these data. In a considerable number of patients, MR imaging overestimates the extent of disease.
- Research Article
52
- 10.1148/radiol.2015142101
- Apr 27, 2015
- Radiology
To compare breast cancer disease-free survival (DFS) outcomes of patients with newly diagnosed breast cancer without and with preoperative magnetic resonance (MR) imaging. MATERIALS AND METHODS This study was approved by an institutional review board, and informed consent was waived. From 2004 to 2009 (unilateral MR imaging from 2004 to 2006 vs bilateral MR imaging from 2007 to 2009), patients with breast cancer without preoperative MR imaging (no MR imaging group) were matched with those with preoperative MR imaging (MR imaging group) according to age, histologic grade, nuclear grade, tumor size, nodal status, stage, hormone receptor status, Ki-67 status, molecular subtype, and lymphovascular invasion. Survival analysis was performed by using Kaplan-Meier estimates. A marginal model was used to evaluate the effect of preoperative MR imaging on DFS. A total of 371 patient pairs from the unilateral imaging period and 97 patient pairs from the bilateral imaging period were matched. During the unilateral imaging period, the MR imaging group had better local-regional recurrence DFS (hazard ratio [HR], 0.33; 95% confidence interval [CI]: 0.12, 0.91; P = .032) than did the no MR imaging group; however, no difference was found for contralateral breast (P = .440) or distant recurrence (P = .515) DFS. During the bilateral imaging period, the MR imaging group had better contralateral breast cancer DFS (HR, 0.03; 95% CI: 0.04, 0.21; P < .001) than the no MR imaging group; however, no difference was found for local-regional (P = .180) or distant recurrence (P = .178) DFS. Preoperative bilateral breast MR imaging for staging of breast cancer was associated with a reduced risk of contralateral breast recurrence; however, no observed reduction in risk of local-regional or distant recurrence was shown.
- Research Article
9
- 10.1002/lary.26084
- Jun 12, 2016
- The Laryngoscope
What is the role of preoperative imaging for cochlear implants in adults with postlingual deafness?
- Research Article
22
- 10.1148/radiol.2016160706
- Oct 6, 2016
- Radiology
Purpose To determine additional cancer yield of magnetic resonance (MR) imaging in women with breast cancer detected at screening ultrasonography (US) and to identify a subgroup of women who are likely to benefit from preoperative MR imaging. Materials and Methods This study was approved by the institutional review board, and the requirement for informed consent was waived. A retrospective review of 374 women (median age, 48 years; age range, 30-74 years) with breast cancer detected at screening US (invasive, n = 321) who underwent preoperative breast MR imaging between 2007 and 2013 was performed. Cancer yield and positive predictive value of biopsy were calculated. Multivariate logistic regression analysis was performed to identify clinical-pathologic features associated with additional cancer detected at MR imaging. Results Of 374 women, 21 (5.6%; 95% confidence interval [CI]: 3.5%, 8.5%) were diagnosed with additional cancer (positive predictive value of biopsy, 42.0% [21 of 50 women]; 95% CI: 28%, 57%). Index invasive lobular cancer (ILC) histologic type was significantly associated with additional cancer detected at MR imaging (odds ratio, 4.0; 95% CI: 1.2, 13.6; P = .03). In women with index invasive cancer, premenopausal status (odds ratio, 5.7; 95% CI: 1.2, 35.8; P = .03) and lobular histologic type (odds ratio, 3.9; 95% CI: 1.1, 12.3; P = .03) were factors associated with additional cancer detected at MR imaging. Conclusion Preoperative MR imaging helped to detect additional sites of cancer in 5.6% of women with breast cancer detected at screening US. Women with index ILC and premenopausal women are more likely to benefit from preoperative MR imaging. © RSNA, 2016 Online supplemental material is available for this article.
- Research Article
7
- 10.1002/jso.24102
- Dec 2, 2015
- Journal of Surgical Oncology
Several reliable randomized studies do not recommend routine preoperative breast MR imaging for patients with breast cancer. However, because the principle of MR imaging is based on the dynamics of contrast enhancement, a specific biologic subgroup of tumors should sensitively respond to the imaging process. From 2008 to 2013, 918 eligible patients with breast cancer underwent breast surgery and were divided into two groups based on preoperative breast MR findings: patients in whom the surgical plan was changed and those in whom the surgical plan remained unchanged. We investigated the changing patterns of breast surgery based on routine mammography, ultrasound, and preoperative breast magnetic resonance (MR) findings and analyzed the association between additional suspicious lesions on breast MR imaging and clinicopathologic factors. Additional suspicious breast lesions were detected on preoperative MR imaging in 104 cases (11.3%), and the surgical strategy was changed as the final decision in 97 cases (10.6%). There was no difference between oncologic results between two groups. However, the triple-negative breast cancer (TNBC) was significantly associated with changing of the surgical strategy based on breast MR findings (P = 0.048). Additional preoperative breast MR imaging may be helpful in surgical decision for patients with TNBC.
- Research Article
3
- 10.1016/j.breastdis.2015.01.001
- Jan 1, 2015
- Breast Diseases: A Year Book Quarterly
Preoperative Breast MRI: Barking up the Wrong Endpoints
- Research Article
10
- 10.1200/op.22.00578
- Jul 1, 2023
- JCO oncology practice
The clinical benefit of preoperative breast magnetic resonance imaging (MRI) for early-stage breast cancer (BC) remains controversial. We examined trends and the associated factors of preoperative breast MRI use. This study cohort, constructed from Optum Clinformatics database, included women with early-stage BC who had a cancer surgery between March 1, 2008, and December 31, 2020. Preoperative breast MRI was performed between the date of BC diagnosis and index surgery. Multivariable logistic regressions, one for elderly (65 years and older) and the other for non-elderly patients (younger than 65 years), were performed to examine factors associated with the use of preoperative MRI. Among 92,077 women with early-stage BC, the crude rate of preoperative breast MRI increased from 48% in 2008 to 60% in 2020 for nonelderly and from 27% to 34% for elderly women. For both age groups, non-Hispanic Blacks were less likely (odds ratio [OR]; 95% CI, younger than 65 years: 0.75, 0.70 to 0.81; 65 years and older: 0.77, 0.72 to 0.83) to receive preoperative MRI than non-Hispanic White patients. Across Census divisions, the highest adjusted rate was observed in Mountain division (OR compared with New England; 95% CI, younger than 65 years: 1.45, 1.27 to 1.65; 65 years and older: 2.42, 2.16 to 2.72). Other factors included younger age, fewer comorbidities, family history of BC, axillary node involvement, and neoadjuvant chemotherapy for both age groups. The use of preoperative breast MRI has steadily increased. Aside from clinical factors, age, race/ethnicity, and geographic location were associated with preoperative MRI use. This information is important for future implementation or deimplementation strategies of preoperative MRI.
- Research Article
8
- 10.1158/0008-5472.sabcs-4018
- Jan 15, 2009
- Cancer Research
Abstract #4018 Background: Preoperative breast magnetic resonance imaging (MRI) has been shown to identify occult breast disease in women with newly diagnosed breast cancer. We sought to determine the accuracy of MRI in predicting the actual pathologic tumor size in women with newly diagnosed breast cancer.&#x2028; Methods: Preoperative breast MRI was reviewed in 460 women with newly diagnosed breast cancer. The size in terms of maximum tumor dimension, of 476 incident breast cancers on MRI were recorded and correlated with the actual pathologic size upon surgical resection. The correlation of size from MRI to pathology was determined. The size discrepancy was analyzed in relation to tumor size and histology.&#x2028; Results: MRI demonstrated 476 breast cancers (460 in the ipsilateral breast and 16 with concurrent contralateral breast cancer). Median age was 62 with a range of 25 to 91. The T stages of the population included T0 in 19% of the women, 60% had T1 lesions, 18% had T2 lesions and 3% were T3 or T4. The histology consisted of DCIS alone in 20%, infiltrating ductal in 74% and infiltrating lobular in 6%. Pre-operative MRI was unable to define an enhancing lesion usually due to hematoma following core needle biopsy in 9.8% (47/476). MRI described the size of the incident lesion in 90% (429/476). The mean difference in size between the preoperative MRI and the actual pathologic size for the entire group was 2.4 mm. MRI underestimated tumor size in only 3% of cases. The mean difference according to T stage and histology between MRI and actual pathologic size is listed in Table 1. The percentage of difference between MRI size and pathologic size for the entire group is presented in Table 2.&#x2028; &#x2028; &#x2028; &#x2028; Discussion: The mean difference in tumor size estimated by preoperative MRI in women with newly diagnosed breast cancer was within 5 mm of the actual pathologic size in 68% of patients. MRI was accurate in predicting T stage with no significant difference in relation to histology or T stage. This analysis further clarifies the role of preoperative MRI in surgical and treatment planning. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 4018.
- Research Article
- 10.1158/1538-7445.sabcs22-pd16-01
- Mar 1, 2023
- Cancer Research
Introduction: The use of magnetic resonance imaging (MRI) prior to surgical treatment for breast cancer has greatly increased over the past decade. As MRI more accurately defines disease extent vs mammography and sonography, it is frequently utilized for staging women at elevated risk of occult disease due to young age, dense breast tissue, and/or lobular histology. However, it is not known whether women from different racial backgrounds and socioeconomic statuses have equal access to preoperative breast MRI. The goal of this study was to assess whether the use of preoperative breast MRI varies by race and insurance type. Methods: We identified adult women who were diagnosed with Stage 0-III breast cancer within our mixed academic/community health system between 2016-2019 and were subsequently treated with surgical resection. We limited our analysis to non-Hispanic Black and non-Hispanic White women, as they comprised 93% of the eligible cohort. Patients who underwent breast MRI between their date of diagnosis and date of surgery were considered to have had a “preoperative MRI.” We used multivariable logistic regression to quantify the association between patient factors and receipt of preoperative MRI. Covariates included patient race, insurance type, age, year of diagnosis, clinical stage, histology, breast density, receptor subtype, and receipt of neoadjuvant systemic therapy. Results: 1,268 women met inclusion criteria and had complete clinical information available for analysis. 362 (29%) were Black, and 906 (71%) were White. 718 (57%) had private insurance, 460 (36%) had Medicare, and 72 (6%) had Medicaid. Compared to White patients, a larger proportion of Black patients had Medicaid (15% vs. 2.0%), fatty or scattered density (i.e., level 1 or 2) breasts (69% vs 48%), and regional disease (26% vs 19%) (Table). Patients with Medicare had the highest proportion of fatty or scattered density breasts (67% vs private=46% vs Medicaid=56%), while patients with Medicaid had the highest proportion of regional disease (35% vs private=23% vs Medicare=15%). The proportion of patients who received preoperative MRI was higher for White (49%) vs Black women (37%, p&lt; 0.001). After adjustment, Black patients were 52% less likely to undergo preoperative MRI compared to White patients (OR 0.48, 95% CI 0.35-0.66, p&lt; 0.001). Compared to privately-insured patients, patients with Medicare had a similar likelihood of undergoing preoperative MRI (OR 0.81, 95% CI 0.54-1.22, p=0.309), while patients with Medicaid may have had a lower likelihood of undergoing preoperative MRI (OR 0.55, 95% CI 0.30-1.00, p=0.053). Conclusions: Black patients with newly diagnosed breast cancer were less likely than White patients to undergo preoperative breast MRI, a disparity that persisted after controlling for insurance and clinical factors. Algorithmic use of preoperative MRI may mitigate provider- and system-level biases and promote more equitable resource utilization. Table 1: Characteristics of patients with non-metastatic breast cancer, diagnosed and treated at our institution (2016-2019) *Biomarker data for 2019 cohort is pending Citation Format: Sara P. Ginzberg, Connor B. Grady, Oluwadamilola (Lola) Fayanju, Christine E. Edmonds. Racial Disparities in the Use of Preoperative Breast MRI after Breast Cancer Diagnosis [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD16-01.
- Abstract
- 10.1016/j.ijrobp.2023.06.1035
- Sep 29, 2023
- International Journal of Radiation Oncology*Biology*Physics
Target Volumes Comparison between Postoperative Simulation MRI and Preoperative Diagnostic MRI for Prone Breast Radiotherapy after Breast-Conserving Surgery
- Abstract
- 10.1177/2325967123s00242
- Jul 1, 2023
- Orthopaedic Journal of Sports Medicine
Objectives:Repair of posterior medial meniscus root (PMMR) tears demonstrates favorable patient outcomes and may prevent rapid progression of knee osteoarthritis, however, there is a paucity of data in literature regarding prognostic factors affecting postoperative outcomes. The medial meniscus plays an important role in the knee biomechanically by increasing tibiofemoral contact area and decreasing peak tibiofemoral contact pressures. Few studies exist that examine preoperative knee magnetic resonance imaging (MRI) findings and patient reported outcome measures (PROMs) following PMMR repair. Semi-quantitative MRI evaluation can offer improved detection of degenerative pathology.Identifying specific factors that may predict surgical outcomes is important when considering PMMR repair, as some patients with more advanced degenerative joint disease may benefit from consideration for knee arthroplasty instead of joint preservation with meniscus repair surgery. The purpose of this study was to identify factors on preoperative MRI that may predict postoperative outcomes following PMMR repair. We hypothesize that patients with worse knee overall quality would have worse postoperative PRO scores.Methods:Between 2012 and 2020, patients who underwent posterior medial meniscus root repair at a tertiary referral academic center by fellowship trained sports medicine surgeons were retrospectively identified, recruited, and enrolled in the study. Institutional review board approval and informed consent was obtained. Inclusion criteria included patients ages 18-70, posterior medial meniscus root repair through transtibial fixation technique, minimum two years postoperative follow-up, and a preoperative knee MRI. Exclusion criteria included prior ipsilateral knee meniscus or ligamentous injury, additional ipsilateral knee injury requiring surgery, and conversion to knee arthroplasty. Visual Analog Scale (VAS) pain and PRO surveys including Patient Reported Outcome Measures Information System Physical Function (PROMIS-PF) Computer Adaptive Test, Lysholm Knee Score, Knee Osteoarthritis and Injury Outcome Score (KOOS) with 5 sub-sections, were collected at minimum 2-years postoperative.Patient Acceptable State Score (PASS) values from a prior meniscus study were utilized to identify patients that met PASS for the KOOS subsections. A fellowship-trained musculoskeletal radiologist reviewed preoperative MRIs and calculated Whole Organ Magnetic Resonance Imaging Scores (WORMS) for meniscus, cartilage, bone marrow edema pattern (BMEP) in 6 knee locations as well as effusion/synovitis and meniscal extrusion. Radiographs were scored with Kellgren-Lawrence (KL) scores to assess presence and severity of osteoarthritis. Statistical analysis was performed with Stata (StataCorp) using two sample T-tests, Mann-Whitney, and Fisher’s exact test for categorical variables. Significance was defined as p<0.05.Results:We evaluated 29 knees (22 female patients) with a mean age at surgery of 52.3±9.9 years, body mass index of 27.6±5.6 kg/m2, and at a mean follow-up of 59.6 months ± 26.5. median KL grade 2, and 44.8% with meniscal extrusion. Pain scores decreased significantly from before surgery to final follow-up (p<0.001), and the percentage of patients meeting PASS ranged from 44.8% for KOOS-Sport subscale to 72.4% for KOOS-Pain and KOOS-Quality of Life subscales (Table 1). There were 10 patients with medial tibial BMEP on pre-operative MRI and 19 with no medial tibial BMEP (Table 2). Patients with medial tibia BMEP had significantly lower Lysholm Knee Score (p=0.037), KOOS-Symptoms (p=0.028), and KOOS-QOL (p=0.029) (Figure 1). There were no significant differences in demographics between those with and without medial tibia BMEP. There was no significant difference in PRO scores when comparing those with medial femoral condyle BMEP, cartilage quality in any of the knee regions, or presence of meniscus extrusion.Conclusions:We observed that patients with medial tibia BMEP at baseline on their preoperative MRI had inferior PROMs for Lysholm Knee Score, KOOS Symptoms, and KOOS-QOL after PMMR repair compared to those without medial tibia BMEP. The presence of medial tibial BMEP could represent underlying damage that may not be evident in the cartilage itself, given most medial tibia cartilage was normal on MRI and cartilage quality was not a significant discriminant for outcomes. The presence of meniscus extrusion did not correlate with patient outcomes either. Limitations of this study include only VAS-Pain score as a pre-operative measure. Multivariate analysis was not possible due to the sample size available. A strength of this study is the mean follow up of approximately 5 years and preoperative MRI data on all patients. Posterior medial meniscus root tears are generally treated with surgical repair due to increased risk of progression to arthritis, however, some patients continue to have symptoms after repair. Our results show that patients with medial tibial BMEP on their preoperative MRI have worse PRO scores after posterior medial meniscus root repair, which can help surgeons better counsel patients towards optimal treatment options. In conclusion, the presence of medial tibia BMEP on preoperative MRI was a marker for inferior patient outcomes for Lysholm Knee Score, KOOS Symptoms, and QOL at minimum two years postoperative following posterior medial meniscus root repair.
- Research Article
1
- 10.1007/s00330-024-10713-8
- Mar 27, 2024
- European radiology
To predict tumor recurrence in patients who underwent surgical resection of ampullary adenocarcinoma using preoperative magnetic resonance (MR) imaging findings combined with clinical findings. In this multicenter study, a total of 113 patients (mean age, 62.9 ± 9.8 years; 58 men and 55 women) with ampullary adenocarcinoma who underwent preoperative MR imaging and surgery with margin-negative resection between 2006 and 2017 were retrospectively included. The MR imaging findings were evaluated by two radiologists. Preoperative clinical findings were obtained. Cox proportional regression analyses were used to identify the independent prognostic factors for recurrence-free survival (RFS). A nomogram was created based on the multivariable analysis and was internally validated. Multivariable analysis revealed that presence of infiltrative tumor margin (hazard ratio [HR]: 2.18, p = 0.019), adjacent organ invasion (HR: 3.31, p = 0.006), adjacent vessel invasion (HR: 5.42, p = 0.041), peripancreatic lymph node enlargement (HR: 2.1, p = 0.019), and jaundice (HR: 1.93, p = 0.043) were significantly associated with worse RFS of ampullary adenocarcinoma after surgical resection. These MR imaging and clinical findings were used to construct a nomogram. On internal validation, the calibration plots showed excellent agreement between the predicted probabilities and the actual rates of tumor recurrence, with Harrell's c-index of 0.746. Combination of preoperative MR imaging and clinical findings can be useful for predicting tumor recurrence after surgical resection of ampullary adenocarcinoma. Identifying these features before surgery may aid in better treatment planning and management of these patients. A predictive nomogram using preoperative MR imaging and clinical findings can be useful in estimating the recurrence-free survival after surgical resection of ampullary adenocarcinoma. • Presently, tumor size on imaging is the only non-invasive factor that correlates with recurrence-free survival from ampullary adenocarcinoma; other factors are obtained postoperatively. • Infiltrative tumor margin, adjacent organ invasion, adjacent vessel invasion, peripancreatic lymph node enlargement on MRI, and jaundice are significant predictors for recurrence. • A nomogram incorporating significant MR imaging and clinical findings showed good performance in predicting recurrence-free survival, which can help in treatment planning.
- Research Article
52
- 10.1148/radiol.2017162079
- Mar 2, 2017
- Radiology
Purpose To retrospectively investigate the relationship between the kinetic features of breast cancer assessed with computer-aided diagnosis (CAD) at preoperative magnetic resonance (MR) imaging and disease-free survival in patients with primary operable invasive breast cancer. Materials and Methods This retrospective study was approved by the institutional review board. The requirement to obtain informed consent was waived. The authors identified 329 consecutive women (mean age, 52.9 years; age range, 32-88 years) with newly diagnosed invasive breast cancer who had undergone preoperative MR imaging and surgery between January 2012 and February 2013. All MR images were retrospectively reviewed by using a commercially available CAD system, and the following kinetic parameters were noted for each lesion: peak enhancement (highest pixel signal intensity in the first series obtained after administration of contrast material), angio-volume (total volume of the enhancing lesion), and delayed enhancement profiles (the proportions of washout, plateau, and persistently enhancing component within a tumor). Cox proportional hazards modeling was used to identify the relationship between CAD-generated kinetics and disease-free survival after adjusting for clinical-pathologic variables. Results A total of 36 recurrences developed at a median follow-up of 50 months (range, 15-55 months). CAD-measured peak enhancement at preoperative MR imaging enabled differentiation between patients with and patients without recurrence (area under the receiver operating characteristic curve = 0.728; 95% confidence interval [CI]: 0.676, 0.775; P < .001). Multivariate Cox analysis showed that a higher peak enhancement (hazard ratio [HR] = 1.001; 95% CI: 1.000, 1.002; P = .004), a higher washout component (HR = 1.029; 95% CI: 1.005, 1.054; P = .017), and lymphovascular invasion at histopathologic examination (HR = 3.011; 95% CI: 1.302, 6.962; P = .010) were associated with poorer disease-free survival. Conclusion Higher values of CAD-measured peak enhancement and washout component at preoperative MR imaging were significantly associated with poorer disease-free survival of patients with primary operable breast cancer. © RSNA, 2017.