Validation of a Novel Nomogram for Prediction of Local Relapse after Surgery for Invasive Breast Carcinoma

Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network

BACKGROUND

After breast conserving surgery (BCS), surgical clips indicate the tumor bed and, thereby, the most probable area for tumor relapse. The aim of this study was to investigate whether a U-Net-based deep convolutional neural network (dCNN) may be used to detect surgical clips in follow-up mammograms after BCS.

METHODS

884 mammograms and 517 tomosynthetic images depicting surgical clips and calcifications were manually segmented and classified. A U-Net-based segmentation network was trained with 922 images and validated with 394 images. An external test dataset consisting of 39 images was annotated by two radiologists with up to 7 years of experience in breast imaging. The network's performance was compared to that of human readers using accuracy and interrater agreement (Cohen's Kappa).

RESULTS

The overall classification accuracy on the validation set after 45 epochs ranged between 88.2% and 92.6%, indicating that the model's performance is comparable to the decisions of a human reader. In 17.4% of cases, calcifications have been misclassified as post-operative clips. The interrater reliability of the model compared to the radiologists showed substantial agreement (κreader1 = 0.72, κreader2 = 0.78) while the readers compared to each other revealed a Cohen's Kappa of 0.84, thus showing near-perfect agreement.

CONCLUSIONS

With this study, we show that surgery clips can adequately be identified by an AI technique. A potential application of the proposed technique is patient triage as well as the automatic exclusion of post-operative cases from PGMI (Perfect, Good, Moderate, Inadequate) evaluation, thus improving the quality management workflow.

Residual Risk of Ipsilateral Tumor Recurrence in Patients Who Achieved Clear Lumpectomy Margins After Repeated Resection

PURPOSE

Patients with breast cancer with positive lumpectomy margins have a two-fold increased risk of ipsilateral breast tumor recurrence (IBTR). This can be the result of either technically incomplete resection or the biological characteristics of the tumor that lead to a positive margin. We hypothesized that if achieving negative margins by re-excision nullifies the IBTR risk, then the increased risk is mainly attributed to the technical incompleteness of the initial surgeries. Thus, we investigated IBTR rates in patients with breast cancer who achieved clear margins after re-excision.

METHODS

We retrospectively reviewed patients who underwent breast lumpectomy for invasive breast cancer between 2004 and 2018 at a single institution, and investigated IBTR events.

RESULTS

Among 5,598 patients, 793 achieved clear margins after re-excision of their initial positive margins. During the median follow-up period of 76.4 months, 121 (2.2%) patients experienced IBTR. Patients who underwent re-excision to achieve negative margin experienced significantly higher IBTR rates compared to those achieving clear margin at first lumpectomy (10-year IBTR rate: 5.3% vs. 2.6% [25 vs. 84 events]; unadjusted p = 0.031, hazard ratio, 1.61, 95% confidence interval [CI], 1.04-2.48; adjusted p = 0.030, hazard ratio, 1.69, 95% CI, 1.05-2.72). This difference was more evident in patients aged < 50 years and those with delayed IBTR. Additionally, no statistically significant differences were observed in the spatial distribution of IBTR locations.

CONCLUSION

Patients who underwent re-excision for initial positive margins had an increased risk of IBTR, even after achieving a final negative margin, compared to patients with negative margins initially. This increased risk of IBTR is mostly observed in young patients and delayed cases.

Novel nomograms for predicting survival for immediate breast reconstruction patients diagnosed with invasive breast cancer-a single-center 15-year experience

Background

Immediate breast reconstruction is widely accepted following oncologic mastectomy. This study aimed to build a novel nomogram predicting the survival outcome for Chinese patients undergoing immediate reconstruction following mastectomy for invasive breast cancer.

Methods

A retrospective review of all patients undergoing immediate reconstruction following treatment for invasive breast cancer was performed from May 2001 to March 2016. Eligible patients were assigned to a training set or a validation set. Univariate and multivariate Cox proportional hazard regression models were used to select associate variables. Two nomograms were developed based on the training cohort for breast cancer-specific survival (BCSS) and disease-free survival (DFS). Internal and external validations were performed, and the C-index and calibration plots were generated to evaluate the performance (discrimination and accuracy) of the models.

Results

The 10-year estimated BCSS and DFS were 90.80% (95% CI: 87.30%-94.40%) and 78.40% (95% CI: 72.50%-84.70%), respectively, in the training cohort. In the validation cohort, they were and 85.60% (95% CI, 75.90%-96.50%) and 84.10% (95% CI, 77.80%-90.90%), respectively. Ten independent factors were used to build a nomogram for prediction of 1-, 5- and 10-year BCSS, while nine were used for DFS. The C-index was 0.841 for BCSS and 0.737 for DFS in internal validation, and the C-index was 0.782 for BCSS and 0.700 for DFS in external validation. The calibration curve for both BCSS and DFS demonstrated acceptable agreement between the predicted and actual observation in the training and the validation cohorts.

Conclusion

The nomograms provided valuable visualization of factors predicting BCSS and DFS in invasive breast cancer patients with immediate breast reconstruction. The nomograms may have tremendous potential in guiding individualized decision-making for physicians and patients in choosing the optimized treatment methods.

FDG and Non-FDG Radiopharmaceuticals for PET Imaging in Invasive Lobular Breast Carcinoma

Invasive lobular cancer (ILC) is the second most frequent histological type of breast cancer (BC) and includes a heterogeneous spectrum of diseases with unique characteristics, especially the infiltrative growth pattern and metastatic spread. [¹⁸F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (FDG-PET/CT) is extensively used in oncology and BC patient evaluation. Its role in ILCs is considered suboptimal due to its low FDG avidity. Therefore, ILCs could benefit from molecular imaging with non-FDG tracers that target other specific pathways, contributing to precision medicine. This narrative review aims to summarize the current literature on the use of FDG-PET/CT in ILC and to discuss future opportunities given by the development of innovative non-FDG radiotracers.

A propensity score-matched analysis of breast-conserving surgery plus whole-breast irradiation versus mastectomy in breast cancer

PURPOSE

Recent observations regarding long-term outcomes among patients with early-stage breast cancer (BC) who underwent breast-conserving surgery (BCS) plus whole-breast irradiation (WBI) or mastectomy are from a small number of registry-based studies. Therefore, these findings may overestimate differences in survival between the two groups, compared with randomized controlled trials conducted in the 1980s. The aim of this study is to compare long-term outcomes and clinicopathologic characteristics between patients treated with BCS + WBI or mastectomy for BC.

METHODS

We performed a propensity score-matched analysis in a cohort of 9710 patients aged < 70 years who underwent BCS + WBI or mastectomy without external radiotherapy for a first primary BC (pT1-2, N0-3a) at the European Institute of Oncology between 2000 and 2008. Patients were matched by propensity score.

RESULTS

Median follow-up was 8.4 years (interquartile range 6.5-10.2). The cumulative incidence of axillary lymph node recurrence at 10 years was lower in the BCS + WBI group [2.4% (95% CI, 1.7-3.3%)] than in the mastectomy group [4.4% (95% CI, 3.5-5.5%)] (P = .0005), and the cumulative incidence of contralateral BC was higher in the BCS + WBI group [3.9% (95% CI, 2.8-5.1%)] than in the mastectomy group [2.5% (95% CI, 1.7-3.4%)] (P = .01). Among the 366 patients with HER2 subtype BC, BCS + WBI was associated with a fivefold higher risk [hazard ratio 4.97 (95% CI, 2.28-10.8)] of  ipsilateral breast tumor recurrence (IBTR), compared with mastectomy (P < .0001); however, among patients with other BC subtypes, the rates of IBTR were not statistically significantly different.

CONCLUSION

Patients with HER2 subtype BC (T1-2, N0-3) who underwent BCS + WBI had a statistically significantly higher risk of IBTR than patients who underwent mastectomy. Survival was not statistically significantly different between the groups.

A Nomogram Based on Hematological Parameters and Clinicopathological Characteristics for Predicting Local–Regional Recurrence After Breast-Conserving Therapy

Objectives

The aim of this study was to identify the factors for local–regional recurrence (LRR) after breast-conserving therapy (BCT). We established a practical nomogram to predict the likelihood of LRR after BCT based on hematological parameters and clinicopathological features.

Methods

A retrospective analysis was performed on 2,085 consecutive breast cancer patients who received BCT in Shandong Cancer Hospital from 2006 to 2016, including 1,460 patients in the training cohort and 625 patients in the validation cohort. Univariate and multivariate analyses were performed based on hematological parameters (fibrinogen, platelets, mean platelet volume, neutrophils, monocytes, and lymphocytes) and clinicopathological characteristics to identify the independent factors for LRR. Subsequently, a nomogram for predicting LRR was established by logistic regression analysis. The nomogram was validated in 625 patients in the validation cohort.

Results

During the median follow-up period of 66 months, 44 (3.01%) patients in the training cohort and 19 (3.04%) patients in the validation cohort suffered from LRR. Multivariate analysis showed six independent factors related to LRR, including molecular subtype, pathological N stage, re-resection, radiotherapy or not, platelet count*MPV*fibrinogen (PMF), and neutrophil count/lymphocyte count ratio (NLR). Six variables were entered into logistic regression to establish the nomogram for predicting LRR. The nomogram of LRR showed excellent discrimination and prediction accuracy. The area under the receiver operating characteristic curve (AUC) was 0.89 (p < 0.001, 95% CI = 0.83, 0.95) in the training cohort and 0.88 (p < 0.001, 95% CI = 0.8, 0.96) in the validation cohort. Calibration curves for the prediction model in the training and validation cohorts both demonstrated satisfactory consistency between the nomogram-predicted and actual LRR.

Conclusion

The combination of hematological parameters and clinicopathological characteristics can predict LRR after BCT. The predictive nomogram based on preoperative and postoperative indicators of BCT might serve as a practical tool for individualized prognostication. More prospective studies should be performed to verify the model.

Construction of a Prognostic Nomogram Model for Patients with Mucinous Breast Cancer

Objective

The objective of the study is to develop a nomogram for estimating three- and five-year survival rates in mucinous breast cancer patients.

Methods

Between 2010 and 2016, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) were searched as a data source for patients associated with mucinous breast cancer (MBC). A total of 3964 patients were recruited after screening. The multivariate Cox model and the univariate Kaplan-Meier (KM) approach were employed to evaluate the independent prognostic markers, followed by developing a nomogram for estimating three- and five-year survival rates in MBC patients. Consequently, the consistency index (C-index) was employed to assess the predictive accuracy of the generated nomogram.

Results

Age, race, T stage, M stage, surgery, and radiotherapy were all independent predictive biomarkers for the MBC patients (P < 0.05). The nomogram was finally developed based on the underlined factors. Furthermore, the C-index of 0.803 and reliable calibration curves were obtained in the nomogram's assessment.

Conclusions

In patients with mucinous breast cancer, the proposed nomogram provides a viable tool for accurate prognostic prediction. In clinical practice, it could serve as a personalized diagnosis tool, estimate prognosis, and help in suggesting treatment plans for patients with MBC.

Breast Cancer Surgery: New Issues

Since ancient times, breast cancer treatment has crucially relied on surgeons and clinicians making great efforts to find increasingly conservative approaches to cure the tumor. In the Halstedian era (mid-late 19th century), the predominant practice consisted of the radical and disfiguring removal of the breast, much to the detriment of women's psycho-physical well-being. Thanks to enlightened scientists such as Professor Umberto Veronesi, breast cancer surgery has since impressively progressed and adopted a much more conservative approach. Over the last three decades, a better understanding of tumor biology and of its significant biomarkers has made the assessment of genetic and molecular profiles increasingly important. At the same time, neo-adjuvant treatments have been introduced, and great improvements in genetics, imaging technologies and in both oncological and reconstructive surgical techniques have been made. The future of breast cancer management must now rest on an ever more precise and targeted type of surgery that, through an increasingly multidisciplinary and personalized approach, can ensure oncological radicality while offering the best possible quality of life.

Spatiotemporal Patterns of Loco-Regional Recurrence After Breast-Conserving Surgery

Background

Loco-regional recurrences (LRR) following breast-conserving surgery (BCS) remain a heterogeneous class of disease that has significant variation in its biological behavior and prognosis.

Methods

To delineate the spatiotemporal patterns of LRR after BCS, we analyzed the data of 4325 patients treated with BCS from 2006 to 2016. Clinico-pathological and treatment specific factors were analyzed using the Cox proportional hazards model to identify factors predictive for LRR events. Recurrence patterns were scrutinized based on recurrence type and recurrence-free interval (RFI). Annual recurrence rates (ARR) were compared according to recurrence type and molecular subtype.

Results

With a median follow-up of 66 months, 120 (2.8%) LRRs were recorded as the first site of failure. Age, pathologic stage, and molecular subtype were identified as predictors of LRR. The major recurrence type was ipsilateral breast tumor recurrence, which mainly (83.6%) occurred ≤5y post surgery. In the overall population, ARR curves showed that relapse peaked in the first 2.5 years. Patients with regional nodal recurrence, shorter RFI, and synchronous distant metastasis were associated with a poorer prognosis. HER2-positive disease had a higher rate of LRR events, more likely to have in-breast recurrence, and had an earlier relapse peak in the first 2 years after surgery.

Conclusions

LRR risk following BCS is generally low in Chinese ethnicity. Different recurrence patterns after BCS were related to distinct clinical outcomes. Management of LRR should be largely individualized and tailored to the extent of disease, the molecular profile of the recurrence, and to baseline clinical variables.

Diverse Distribution and Gene Expression on the 21-Gene Recurrence Assay in Breast Cancer Patients with Locoregional Recurrence Versus Distant Metastasis

Background

It remains uncertain whether the 21-gene recurrence score (RS) of a primary tumor has selective prognostic value for locoregional recurrence (LRR) or distant metastasis (DM). The current study aimed to compare the distribution and single-gene expression on the RS panel in breast cancer patients with LRR versus DM.

Methods

Consecutive early breast cancer patients who had been operated on at the Comprehensive Breast Health Center, Ruijin Hospital from January 2009 to December 2016 were retrospectively reviewed. Patients were divided into LRR, DM, and no-recurrence groups according to the first reported recurrent event. Comparison and subgroup analysis of 21-gene RS, RS category, and single-gene expression on the RS panel were conducted among patients with different recurrence status.

Results

A total of 1,287 patients were included, with median follow-up of 61.5 months, and 27, 47, and 1,213 patients were classified as LRR, DM, and no recurrence groups, respectively. RS was significantly diversely distributed among the three groups (P<0.001). No-recurrence patients (median 22) presented much lower RS than LRR (median 39, P<0.001) and DM (median 30, P<0.001) patients. LRR patients had lower PR (P<0.001), BCL2 (P=0.010), and CEGP1 (P<0.001) expression, and DM patients had higher STMY3 (P=0.019) expression than no-recurrence patients. Moreover, CEGP1 expression was significantly lower in the LRR group than the DM one (P=0.028).

Conclusion

RS was differently distributed between recurrent and nonrecurrent patients. PR, BCL2, CEGP1, and STMY3 expression was associated with LRR and DM, while CEGP1 was lower in the LRR group than DM patients, warranting further clinical evaluation.

Breast conserving surgery versus salvage mastectomy for ipsilateral breast cancer recurrence: a propensity score matching analysis

Salvage mastectomy is regarded as the treatment of first choice for ipsilateral breast cancer recurrence (IBCR), even if a second breast conserving surgery (BCS) is feasible. The purpose of this study was to compare the long-term oncological outcomes of IBCR patients who had undergone either mastectomy or second BCS, performing a propensity score matching (PSM) analysis to reduce the selection bias. All the consecutive patients with IBCR were retrospectively reviewed and divided into two different groups of treatment: repeat BCS versus salvage mastectomy. The propensity score predicting the probability of surgical treatment was determined for each patient and a 1:1 matching was performed. Disease-free survival (DFS), distant disease-free survival (DDFS), overall survival (OS), and breast cancer-specific survival (BCSS) were analyzed and compared between the two groups. A total of 309 patients underwent surgical treatment for IBCR. After PSM, 108 patients treated with repeat BCS and 108 patients treated with salvage mastectomy were included in the analysis. There was no significant difference in terms of DFS between patients with IBCR receiving repeat BCS or salvage mastectomy (p = 0.167). However, patients with IBCR undergoing second BCS had significantly better DDFS, OS, and BCSS compared to salvage mastectomy (p < 0.001). Salvage mastectomy should not be considered the optimal treatment for IBCR and it does not seem to improve prognosis compared to repeat conserving surgery. Second BCS for IBCR is a safe option with encouraging long-term oncological outcomes and should be proposed to all patients, when technically feasible.

Mastectomy alone for pT1-2 pN0-1 breast cancer patients: when postmastectomy radiotherapy is indicated

PURPOSE

To assess outcome of breast cancer (BC) stages pT1-2 N0-1 after mastectomy alone and to identify prognostic factors calling for the need of postmastectomy radiotherapy.

METHODS

Patients who were not eligible for breast conserving surgery (BCS) were operated on with mastectomy between 1998 and 2008. Locoregional (LRR), distant (DM) control and breast cancer specific survival (BCSS) were retrospectively evaluated. Cumulative incidence (CI) of events was estimated according to Kalbfleisch and Prentice while Gray's test tested difference. Kaplan-Meier method for survival and Cox proportional hazards model for univariable and multivariable analysis were used. A matched pair analysis between mastectomy alone and BCS plus whole breast irradiation (WBI), using the propensity score method, was performed.

RESULTS

1281 pT1-2 N0 and 1081 pT1-2 N1 were identified. Median follow-up was 8.2 years (9.2 years for survival). Overall, LRR rate was low for both N0 and N1 subgroups (10-year CI, 8.8% and 10.9%, respectively). Young age, lymphovascular invasion and Ki-67 ≥ 20% were proved to be statistically significant prognostic factors at multivariable analysis. The combination of ≥ 2 risk factors increased LRR rate to ≥ 15%. Risk factors combination weighed on LRR rate more than nodal status itself. DM rate doubled moving from negative to positive nodal status (10-year CI 10.5% versus 20.3%, respectively). BCSS remained high in both N0 and N1 subgroups (10-year CI 92.4% versus 84.5%, respectively). Remarkably, all the molecular subtypes except Luminal A significantly affected DM and BCSS both in the N0 and N1 subgroups. Nodes number significantly impacted on DM and BCSS but not on locoregional control. In the matched pair analysis, WBI decreased nodal recurrence rate and improved distant control, without affecting survival.

CONCLUSIONS

Selected patients, namely those with at least two additional risk factors, presented high enough LRR risk to support the use of postmastectomy radiotherapy in both N0 and N1 subgroups. Moreover, the observation that radiotherapy may provide benefits that go beyond local control deserves to be further investigated.

Improved risk estimation of locoregional recurrence, secondary contralateral tumors and distant metastases in early breast cancer: the INFLUENCE 2.0 model

PURPOSE

To extend the functionality of the existing INFLUENCE nomogram for locoregional recurrence (LRR) of breast cancer toward the prediction of secondary primary tumors (SP) and distant metastases (DM) using updated follow-up data and the best suitable statistical approaches.

METHODS

Data on women diagnosed with non-metastatic invasive breast cancer were derived from the Netherlands Cancer Registry (n = 13,494). To provide flexible time-dependent individual risk predictions for LRR, SP, and DM, three statistical approaches were assessed; a Cox proportional hazard approach (COX), a parametric spline approach (PAR), and a random survival forest (RSF). These approaches were evaluated on their discrimination using the Area Under the Curve (AUC) statistic and on calibration using the Integrated Calibration Index (ICI). To correct for optimism, the performance measures were assessed by drawing 200 bootstrap samples.

RESULTS

Age, tumor grade, pT, pN, multifocality, type of surgery, hormonal receptor status, HER2-status, and adjuvant therapy were included as predictors. While all three approaches showed adequate calibration, the RSF approach offers the best optimism-corrected 5-year AUC for LRR (0.75, 95%CI: 0.74-0.76) and SP (0.67, 95%CI: 0.65-0.68). For the prediction of DM, all three approaches showed equivalent discrimination (5-year AUC: 0.77-0.78), while COX seems to have an advantage concerning calibration (ICI < 0.01). Finally, an online calculator of INFLUENCE 2.0 was created.

CONCLUSIONS

INFLUENCE 2.0 is a flexible model to predict time-dependent individual risks of LRR, SP and DM at a 5-year scale; it can support clinical decision-making regarding personalized follow-up strategies for curatively treated non-metastatic breast cancer patients.

A nomogram for predicting survival in patients with de novo metastatic breast cancer: a population-based study

BACKGROUND

5-10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) of these patients.

METHODS

de novo MBC patients diagnosed in 2010-2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. They were randomly divided into a training and a validation cohort with a ratio of 2:1. The best subsets of covariates were identified to develop a nomogram predicting OS based on the smallest Akaike Information Criterion (AIC) value in the multivariate Cox models. The discrimination and calibration of the nomogram were evaluated using the Concordance index, the area under the time-dependent receiver operating characteristic curve (AUC) and calibration curves.

RESULTS

In this study, we included 7986 patients with de novo MBC. The median follow-up time was 36 months (range: 0-83 months). Five thousand three-hundred twenty four patients were allocated into the training cohort while 2662 were allocated into the validation cohort. In the training cohort, age at diagnosis, race, marital status, differentiation grade, subtype, T stage, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery and chemotherapy were selected to create the nomogram estimating the 1-, 3- and 5- year OS based on the smallest AIC value in the multivariate Cox models. The nomogram achieved a Concordance index of 0.723 (95% CI, 0.713-0.733) in the training cohort and 0.719 (95% CI, 0.705-0.734) in the validation cohort. AUC values of the nomogram indicated good specificity and sensitivity in the training and validation cohort. Calibration curves showed a favorable consistency between the predicted and actual survival probabilities.

CONCLUSION

The developed nomogram reliably predicted OS in patients with de novo MBC and presented a favorable discrimination ability. While further validation is needed, this may be a useful tool in clinical practice.

Breast Cancer Primary Prevention and Diet: An Umbrella Review

Introduction: Many studies have been published, but none have pooled the useful evidence available in the literature to produce guidelines and health policies promoting healthy eating styles to prevent breast cancer (BC). The present study aimed to summarize the evidence produced to date, taking a judicious, critical approach to the quality of the studies analyzed. Methods: An umbrella review method was adopted, which is a systematic review of second-level studies, meta-analyses and literature reviews. Results: In all, 48 studies were considered: 32 meta-analyses, 4 pooled analyses, 5 systematic reviews, and 7 qualitative reviews. A higher intake of total meat, or red or processed meats, or foods with a high glycemic index, or eggs would seem to be associated with a higher risk of BC. Some foods, such as vegetables, would seem instead to have an inverse association with BC risk. One meta-analysis revealed an inverse association between citrus fruit and mushroom consumption and BC. Some nutrients, such as calcium, folate, vitamin D, lignans and carotenoids, also seem to be inversely associated with BC risk. The evidence is still conflicting as concerns exposure to other dietary elements (e.g., polyunsaturated fatty acids, dairy foods). Conclusion: Nutrition is one of the most modifiable aspects of people's lifestyles and dietary choices can affect health and the risk of cancer. Overall, adhering to a healthy eating style may be associated with a significant reduction in the risk of BC.

How Useful Are Tumor Markers in Detecting Metastases with FDG-PET/CT during Breast Cancer Surveillance?

BACKGROUND

To assess the clinical usefulness of serum tumor markers for early detection of distant breast cancer recurrence using FDG-PET/CT.

METHODS

We retrospectively analyzed 561 consecutive patients who underwent surgery for invasive primary breast cancer and had increased tumor markers (CA 15-3 and CEA) after completion of locoregional therapy. FDG-PET/CT data were reviewed for all cases. CA 15-3 and CEA were evaluated both in a continuous and in a quartile (Q) distribution. The Wilcoxon rank-sum test and logistic regression models were used to evaluate the association between increased tumor marker values and the presence (and type) of distant metastases.

RESULTS

The median value of CA 15-3 was 35.0 U/mL (IQR, 29.5-43.0) in cases where no distant metastases were detected, and it was 58.9 U/mL (IQR, 40.0-108.0) in cases where metastases were detected (p < 0.001). The median value of CEA was 6.6 U/mL (IQR, 4.4-10.0) in cases of no metastases and 12.4 U/mL (IQR, 6.9-30.0) in cases of metastases (p < 0.001). Increased levels of both tumor markers (Q3 and Q4) were strongly associated with the presence of distant metastases. The association between CA 15-3 and bone/liver metastases was stronger compared with other types of metastases (p heterogeneity between odds ratios [ORs] = 0.03 for Q3 and <0.001 for Q4), while no relevant heterogeneity between ORs emerged for CEA.

CONCLUSION

Increased tumor marker levels detected in asymptomatic breast cancer patients during adjuvant therapies and follow-up are significantly predictive of distant metastases identified on FDG-PET/CT.