The authors declare no financial or nonfinancial conflict of interest.
Accurate axillary lymph node staging is crucial for breast cancer prognosis and treatment planning. This study compares the diagnostic efficacy of abbreviated MRI (AB-MRI) protocols with limited sequences and reduced time against full-diagnostic MRI (FD-MRI) in staging axillary lymph node metastasis of breast cancer patients.
This was a retrospective cross-sectional diagnostic accuracy study of 88 women with breast cancer who underwent MRI for axillary lymph node staging. MRI protocols included FD-MRI, noncontrast T1 sequence, and contrast-enhanced T1 sequence. Imaging findings, interpreted by 2 radiologists blinded to histopathological results, were correlated with findings from sentinel lymph node biopsy or axillary lymph node dissection as the gold standard. Data analysis comprised diagnostic performance parameters (sensitivity and specificity) and interprotocol agreement using the κ statistic.
No statistically significant differences were detected among the 3 protocols (all McNemar
Noncontrast AB-MRI provides a less invasive, cost-effective alternative to FD-MRI for staging axillary lymph nodes in breast cancer, with shorter scan times and fewer procedural risks. Further studies are needed for validation in larger cohorts.
Breast cancer is known as the most frequently diagnosed malignancy among women globally, affecting 2.3 million patients in 2024.
Historically, assessing axillary lymph node status required patients to undergo complete axillary lymph node dissection (ALND) for both diagnostic and therapeutic purposes. In the last 15 years, sentinel lymph node biopsy (SLNB) has become the primary alternative to ALND for the classification of breast cancer patients with a negative clinical node, and it is suggested that if there is a positive finding in the patients' SLNB, in the next step, they should go for a complete ALND.
Current findings from the ACOSOG Z0011 clinical trial indicate that the indication for ALND is no longer based only on distinguishing between negative (N0) and positive (<N1) metastasis. Instead, the decision now differentiates between the absence or presence of nonsignificant metastasis (N0–N1 and 0–3 positive nodes) vs significant lymph node metastasis (≥N2 and ≥4 positive nodes). In addition, those who have tumors with
Although SLNB as the first stage is a less invasive method than ALND, it is associated with complications such as lymphedema, paresthesia, and possibly permanent impairment of arm muscle movement.
Performing breast MRI with contrast injection and taking several hundred images can take between 30 and 40 minutes. The time required to generate a report by the radiologist should also be considered. Abbreviated MRI (AB-MRI) is a shortened version of the standard full-diagnostic protocol in breast MRI (FD-MRI), which was introduced as a diagnostic and screening tool. Compared with FD-MRI, AB-MRI requires less scanning time, is associated with reduced costs, and therefore is more practical, especially in high-patient-volume centers and in centers with limited MR slots.
This was a retrospective cross-sectional diagnostic accuracy study that included 88 women with a mean age of 46.56 years who underwent MRI for axillary lymph node staging between 2022 and 2024 at Imam Khomeini Hospital Complex. The primary goal was to compare the diagnostic performance of AB-MRI protocols (with and without contrast) and FD-MRI in the diagnosis of axillary lymph node metastasis. The study was approved by the research ethics committee. All patients provided written informed consent prospectively for the routine clinical MRI acquisition. For this retrospective analysis utilizing deidentified data, a waiver of additional consent was granted by the institutional ethics committee. This study was conducted and reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline. The completed checklist is provided in the Supplementary Material.
Patient data including MRI images, biopsy results, surgical reports, and patients’ demographic information were collected from the database of our hospital. A cohort of patients was selected based on a strict set of criteria: (1) patients diagnosed with breast cancer (stages I–III); (2) patients who underwent FD-MRI with contrast injection and AB-MRI with and without contrast injection all performed in our institution; (3) subsequent surgical evaluation (SLND/ALND) after imaging; and (4) complete clinical data. Patients were excluded from the study based on the following criteria: a history of prior surgery, radiotherapy, chemotherapy for breast cancer, and stage IV patients (metastatic breast cancer); contraindications for MRI or claustrophobia; and the unavailability of all necessary MRI sequences or images of inadequate quality for analysis. Inclusion and exclusion criteria were approved by an expert radiologist. Patients with stage IV breast cancer were excluded, as the primary aim was to assess staging accuracy prior to knowledge of systemic disease, thereby informing locoregional treatment decisions. All potentially eligible cases were first screened against the predefined inclusion and exclusion criteria by the study coordinator, using clinical records. Cases with ambiguous eligibility were subsequently reviewed by an experienced breast radiologist, who made the final decision on inclusion or exclusion.
A bilateral breast MRI was conducted with the patient in a prone position following a standardized protocol
Patient data were extracted from the hospital dataset by 2 independent investigators, with discrepancies resolved by cross-checking to ensure quality and consistency. The images were independently reviewed by 2 expert radiologists with 8 and 10 years of experience. All radiologists were blinded to histopathological results and to each other's interpretations. Reciprocally, the pathologists who assessed the specimens were blinded to all imaging findings, ensuring a dual-blinding strategy to minimize interpretation bias. Discrepancies in readers’ initial evaluations were later resolved through a collaborative consensus discussion to determine the final decision for each case. The 2 radiologists used these discussions to perform a joint reassessment, meticulously analyzing key imaging characteristics against established radiological criteria for lymph node evaluation. The criteria for classifying lymph nodes as metastatic included their short axis size more than 10 mm; morphology (such as round shape, cortical thickening more than 3 mm, and loss of fatty hilus); and their signal intensity on T1-weighted imaging.
Surgical and pathological findings were the gold standard to confirm the presence of axillary lymph node metastasis, and correlation of imaging findings with histopathological results was checked to calculate the diagnostic accuracy of each MRI protocol. True positives (TP) denote instances where the MRI protocol accurately detected a metastatic lymph node confirmed by histology; false positives (FP) imply cases where the MRI protocol erroneously indicated a metastatic lymph node not verified by histology; false negatives (FN) refer to situations where the MRI protocol overlooked a metastatic lymph node present in the histological findings; and true negatives (TN) indicate instances where the MRI protocol correctly identified the benign lymph node, as confirmed by histology. Diagnostic performance metrics, including sensitivity, specificity, positive and negative likelihood ratios (PLR/NLR), and accuracy were calculated on a per-patient basis. The sample size was calculated using the formulas for diagnostic accuracy studies: n = (Z1−α/22 × Se × (1 − Se))/(d2 × Prevalence) for sensitivity, and n = (Z1−α/22 × Sp × (1 − Sp))/(d2 × (1 − Prevalence)) for specificity. Assuming expected sensitivity and specificity of 0.80, Z = 1.96 (95% confidence), precision d = 0.12, and prevalence ≈ 0.50, the required sample size for each metric is approximately 85. Our sample of 88 patients therefore provided adequate precision for both sensitivity and specificity estimation. McNemar test was employed for pairwise comparisons of diagnostic performance between the 3 MRI protocols, inherently accounting for within-subject correlation in this paired design. Bonferroni correction was applied across the 3 comparisons. The data obtained from all 3 groups were analyzed using SPSS version 26.0 software. Absolute frequency (N) and percentage (%) were employed to represent qualitative statistics. Continuous variables were assessed for normality using the Shapiro-Wilk test. Normally distributed data were presented as mean (SD), and nonnormal data as median (IQR). Unweighted Cohen κ tests were employed to assess interprotocol concordance for nominal data (poor < 0.20; fair = 0.21–0.40; moderate = 0.41–0.60; good = 0.61–0.80; very good = 0.81–0.99; perfect = 1.00).
Preoperative MRI was evaluated against surgical pathology in a cohort of 88 women with breast cancer. The mean age of patients was 46.5 (9.4) years and the mean size of lymph nodes was 30.5 (19.2) mm. The patient’s demographic and tumor characteristics are presented in
Patient Demographics and Characteristics of Invasive Breast Cancer Based on Axillary Lymph Node Status
| Variable | Lymph node positive, No. (%) (n = 53) | Lymph node negative, No. (%) (n = 35) |
|---|---|---|
| Age, y | ||
| ≤50 | 33 (54.1) | 28 (45.9) |
| >50 | 20 (74.1) | 7 (25.9) |
| Grade | ||
| 1 | 8 (53.3) | 7 (46.7) |
| 2 | 30 (66.7) | 15 (33.3) |
| 3 | 12 (66.7) | 6 (33.3) |
| Missing data | 10 | |
| Cancer Type | ||
| DCIS | 0 (0.0) | 4 (100.0) |
| IDC | 45 (62.5) | 27 (37.5) |
| ILC | 7 (63.6) | 4 (36.4) |
| Missing data | 1 | |
| Breast Cancer Subtype | ||
| ERBB2 Enriched | 3 (42.9) | 4 (57.1) |
| Luminal A | 34 (68.0) | 16 (32.0) |
| Luminal B | 10 (62.5) | 6 (37.5) |
| Triple Negative | 5 (45.5) | 6 (54.5) |
| Missing data | 4 | |
| Tumor Size, cm | ||
| ≤2 | 13 (50.0) | 13 (50.0) |
| 2–5 | 28 (71.8) | 11 (28.2) |
| >5 | 6 (60.0) | 4 (40.0) |
| Missing data | 13 | |
| ER Status | ||
| Negative | 8 (44.4) | 10 (55.6) |
| Positive | 44 (63.8) | 25 (36.2) |
| Missing data | 1 | |
| PR Status | ||
| Negative | 17 (60.7) | 11 (39.3) |
| Positive | 35 (60.3) | 23 (39.7) |
| Missing data | 2 | |
| ERBB2 Status | ||
| Negative | 39 (63.9) | 22 (36.1) |
| Positive | 22 (36.1) | 10 (43.5) |
| Missing data | 4 | |
| Ki-67 Status | ||
| Negative | 15 (60.0) | 10 (40.0) |
| Positive | 37 (61.7) | 23 (38.3) |
| Missing data | 3 | |
| Fibroglandular | ||
| A | 3 (60.0) | 2 (40.0) |
| B | 14 (63.6) | 8 (36.4) |
| C | 21 (58.3) | 15 (41.7) |
| D | 15 (62.5) | 9 (37.5) |
| Missing data | 1 | |
| Focality | ||
| Multifocal | 21 (75.0) | 7 (25.0) |
| Unifocal | 27 (52.9) | 24 (47.1) |
| Missing data | 9 | |
| Tumor Centers | ||
| Multicenter | 5 (100.0) | 0 (0.0) |
| Single center | 30 (58.8) | 21 (41.2) |
| Missing data | 32 |
BPE, background parenchymal enhancement; DCIS, ductal carcinoma in situ; ER, estrogen receptor;
All 88 patients underwent precontrast T1-weighted coronal sequence breast MRI. Axillary lymph node (ALN) involvement was detected in 50 patients in noncontrast AB-MRI. The distribution of involvement by anatomical level was as follows: 38 patients (76% of the patients with ALN) were observed to have only level I involvement, 4 patients (8% of the patients with ALN) to have only level II involvement, 4 patients (8% of the patients with ALN) to have both levels I and II involvement, and 4 patients (8% of the total) to have levels I, II, and III involvement (
Diagnostic value of different protocols in evaluation of lymph node involvement.
| Sensitivity (95% CI) | Specificity (95% CI) | PLR (95% CI) | NLR (95% CI) | Accuracy (95% CI) | |
|---|---|---|---|---|---|
| AB-MRI noncontrast | 84.9% (72.4%–93.3%) | 85.7% (69.7%–95.2%) | 5.94 (2.62–13.4) | 0.18 (0.09–0.34) | 85.2% (76.1%–91.9%) |
| AB-MRI with contrast enhancement | 81.1% (68.0%–90.6%) | 82.9% (66.4%–93.4%) | 4.73 (2.26–9.92) | 0.23 (0.13–0.41) | 81.8% (72.2%–89.2%) |
| FD-MRI | 88.7% (77.0%–95.7%) | 82.9% (66.4%–93.4%) | 5.17 (2.48–10.7) | 0.14 (0.06–0.29) | 86.4% (77.4%–92.8%) |
PLR: positive likelihood ratio, NLR: negative likelihood ratio, AB-MRI: abbreviated MRI protocol, FD-MRI: full diagnostic MRI protocol.
Contrast-enhanced AB-MRI reported 49 cases of positive lymph involvement and 39 cases of negative involvement among 88 patients. Among 49 patients, 37 cases (75.4%) had level 1 lymph node involvement, 4 cases (8.2%) with level 2 lymph node, 4 patients (8.2%) with level 1 and 2 lymph nodes, and 4 cases (8.2%) had involvement of all 3 levels (
Abbreviated MRI Evaluation of Axillary Lymphadenopathy in Breast Cancer. A 32-year-old woman with diagnosed invasive ductal carcinoma of the right breast. A, T1-weighted coronal image without fat saturation and contrast demonstrates a hypointense lymph node in the right axilla. B, T1-weighted coronal image with contrast and fat saturation highlights the lymph node with increased signal intensity. C, T1-weighted axial image with contrast further enhances visualization of the pathological lymph node. D, Axial diffusion-weighted imaging (DWI) reveals restricted diffusion, consistent with metastatic involvement.
A 54-year-old woman with histologically proven breast cancer in the left breast. A, T1-weighted coronal image without fat saturation and contrast shows a left hypointense axillary lymph node. B, T1-weighted coronal image with contrast and fat saturation demonstrates the lymph node with increased signal intensity. C, T1-weighted axial image with contrast further enhances visualization of the pathological lymph node. D, Axial diffusion-weighted imaging (DWI) reveals restricted diffusion, consistent with metastatic involvement.
Sensitivity and Specificity of T1 Coronal Without Contrast
| T1-W/O cont. + | T1-W/O cont. - | |
|---|---|---|
| Lymph + | TP: 45 | FN: 8 |
| Lymph - | FP: 5 | TN: 30 |
FN, false negative; FP, false positive; TN, true negative; TP, true positive; T1-W/O cont., T1-weighted without contrast. Sensitivity: 0.849; Specificity: 0.857; NPV: 0.79; PPV: 0.9; Accuracy: 0.852; κ: 0.696;
Sensitivity and Specificity of T1 Coronal Fat Sat with Contrast
| T1-W cont. + | T1-W cont. - | |
|---|---|---|
| Lymph + | TP: 43 | FN: 10 |
| Lymph - | FP: 6 | TN: 29 |
FN, false negative; FP, false positive; TN, true negative; TP, true positive; T1-W cont., T1-weighted with contrast. Sensitivity: 0.811; Specificity: 0.829; NPV: 0.744; PPV: 0.878; Accuracy: 0.818; κ: 0.628;
Sensitivity and Specificity of Full-Protocol MRI
| Full-MRI + | Full-MRI - | |
|---|---|---|
| Lymph + | TP: 47 | FN: 6 |
| Lymph - | FP: 6 | TN: 29 |
FN, false negative; FP, false positive; TN, true negative; TP, true positive. Sensitivity: 0.887; Specificity: 0.829; NPV: 0.829; PPV: 0.887; Accuracy: 0.864; κ: 0.715;
Implementing AB-MRI offers substantial workflow benefits through reduced acquisition time (3 to 10 minutes vs 30+ minutes for full-diagnostic MRI), enabling higher throughput in busy centers and addressing limited MRI slots. Cost savings from shorter scans and simplified reading (often <3 minutes) make AB-MRI feasible for broader screening, particularly in high-volume or resource-limited settings, while avoiding gadolinium in contraindicated patients via unenhanced protocols. This study highlights the noninferior performance of a T1-weighted pulse sequence, acquired using the system’s built-in body coil, into the standard preoperative breast MRI protocol in comparison to full-protocol MRI. This modification significantly improves the discovery of axillary lymph node involvement, demonstrating a high positive predictive value. Historically, prior to the advent of SLNB, all patients diagnosed with invasive breast cancer underwent complete ALND for both diagnostic and therapeutic goals.
The final confirmation of lymph node metastasis is performed by invasive methods, and finding methods to identify lymph node metastasis preoperatively and with less invasiveness is one of the current goals. Ultrasound remains the primary modality for this purpose owing to its accessibility, real-time assessment, and capability for image-guided sampling. Nonetheless, its performance may be limited by operator dependency, restricted coverage, and reduced sensitivity for small or deep-seated metastases.
Because of its limited ability to provide complete visualization of the axilla region, MRI currently plays a minor role in imaging this region. Although protocols specific to the axilla region have increased sensitivity, specificity, positive and negative predictive value, these protocols require more time and are currently not very useful in the clinic.
Our study showed that the noncontrast T1 sequence has the same performance as FD-MRI, with no significant difference in sensitivity and specificity. This similar performance was also supported by our interprotocol agreement analysis, which showed that all 3 protocols can be used interchangeably as indicated by consistent “very good” pairwise κ values. With its high positive and negative likelihood ratios for detecting axillary lymph node involvement, noncontrast AB-MRI shows strong potential for integration into routine clinical practice. An abbreviated, noncontrast MRI methodology provides a more cost-effective and safer method for assessing axillary lymph node involvement. This approach markedly diminishes patient exposure to the potential concerns of contrast agents, including nephrogenic systemic fibrosis, gadolinium tissue deposition, allergic reactions, and pregnancy-related concerns. Refraining from contrast administration is particularly advantageous for patients with renal insufficiency or those requiring many imaging procedures, since it alleviates the burden of contrast exposure while maintaining diagnostic efficacy. Abbreviated MRI could also enhance access to MRI in low-resource environments, where contrast agents may be few or inaccessible. It would also decrease scan duration and total examination expenses.
In the study by Kadioglu et al., 3 different types of abbreviated protocol (AP) were extracted from the full MRI protocol. In AP1, T2-weighted and diffusion-weighted axial images were acquired, whereas in AP2, axial T1-weighted fat-saturated images were attained 2 minutes after contrast administration. In AP3, both AP2 and diffusion-weighted images were analyzed. For each protocol, the lesion's location, number, size, and the presence of axillary lymphadenopathy were assessed separately. In this study, in all types of protocols, the evaluation time was shorter than the full protocol, and the best diagnostic correlation in all the investigated factors, including axillary lymphadenopathy (κ = 0.842) occurred in the AP3 protocol.
Bode et al. investigated regional lymph nodes and reported that the addition of a short coronal T1-weighted MRI sequence was effective in identifying patients with clinically significant lymph node metastasis (≥N2), achieving a high negative predictive value (98.8%). However, the positive predictive value was relatively low (50.6%), likely because the MRI observers were only asked to report the presence or absence of lymph node metastasis, without considering the number of metastatic nodes, which defines clinically significant involvement. This limitation may have reduced the ability to correctly identify patients with ≥N2 metastasis, resulting in a lower PPV.
Our study faced several limitations: (1) The study was retrospective, which presents inherent concerns of selection bias and unmeasured confounding. Despite the available research on this topic, further generalizable multicenter prospective investigations with large sample sizes are needed on whether abbreviated T1-weighted imaging with and without contrast can reliably stage axillary lymph nodes in breast cancer patients compared with the traditional FD-MRI. (2) The research does not assess interreader agreement among radiologists, which may indicate inconsistencies in interpretation and impact the reliability of the results and reproducibility in other settings.
Abbreviated T1-weighted MRI protocols present a promising alternative to FD-MRI, especially in time-sensitive resource-constrained settings or in a subset of patients with contraindication to contrast. Although they may not fully match the sensitivity of FD-MRI protocols for accurate detection of lymph node metastases, they provide a reliable and efficient option for detecting axillary lymph node metastasis. In clinical practice, abbreviated MRI protocols could be strategically implemented to complement traditional diagnostic pathways, reducing scan times and costs while maintaining diagnostic accuracy. Moreover, unenhanced T1-weighted MRI sequences may hold diagnostic value in lymph node assessment, especially if future developments in noncontrast MRI—primarily diffusion-weighted imaging—enable their use as standalone protocols for screening or disease extent evaluation.
None.
This study was approved by the research ethics committee (IR.TUMS.IKHC.REC.1403.536) and written informed consent was obtained from patients. The patients in this manuscript gave written informed consent for the publication of their case details.
The datasets generated or analyzed during the study are available from the corresponding author upon request.
Not Applicable.
Artificial intelligence tools were used only to assist with language editing. The authors take full responsibility for the content of the manuscript.
FZ: Conceptualization, Methodology, Project administration, Supervision; SM: Writing–review & editing; FMS: Formal analysis; PKH: Resources; HZ: Resources; EBT: Resources; SH: Resources; AM: Resources; Mahdiyeh M: Resources, Writing–review & editing; Maryam M: Investigation, Project administration, Validation, Writing–original draft, Writing–review & editing.