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Skarping I, Bendahl PO, Szulkin R, Alkner S, Andersson Y, Bergkvist L, Christiansen P, Filtenborg Tvedskov T, Frisell J, Gentilini OD, Kontos M, Kühn T, Lundstedt D, Vrou Offersen B, Olofsson Bagge R, Reimer T, Sund M, Rydén L, de Boniface J. Prediction of High Nodal Burden in Patients With Sentinel Node-Positive Luminal ERBB2-Negative Breast Cancer. JAMA Surg 2024; 159:1393-1403. [PMID: 39320882 PMCID: PMC11425194 DOI: 10.1001/jamasurg.2024.3944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/09/2024] [Indexed: 09/26/2024]
Abstract
Importance In patients with clinically node-negative (cN0) breast cancer and 1 or 2 sentinel lymph node (SLN) macrometastases, omitting completion axillary lymph node dissection (CALND) is standard. High nodal burden (≥4 axillary nodal metastases) is an indication for intensified treatment in luminal breast cancer; hence, abstaining from CALND may result in undertreatment. Objective To develop a prediction model for high nodal burden in luminal ERBB2-negative breast cancer (all histologic types and lobular breast cancer separately) without CALND. Design, Setting, and Participants The prospective Sentinel Node Biopsy in Breast Cancer: Omission of Axillary Clearance After Macrometastases (SENOMAC) trial randomized patients 1:1 to CALND or its omission from January 2015 to December 2021 among adult patients with cN0 T1-T3 breast cancer and 1 or 2 SLN macrometastases across 5 European countries. The cohort was randomly split into training (80%) and test (20%) sets, with equal proportions of high nodal burden. Prediction models were developed by multivariable logistic regression in the complete luminal ERBB2-negative cohort and a lobular breast cancer subgroup. Nomograms were constructed. The present diagnostic/prognostic study presents the results of a prespecified secondary analysis of the SENOMAC trial. Herein, only patients with luminal ERBB2-negative tumors assigned to CALND were selected. Data analysis for this article took place from June 2023 to April 2024. Exposure Predictors of high nodal burden. Main Outcomes and Measures High nodal burden was defined as ≥4 axillary nodal metastases. The luminal prediction model was evaluated regarding discrimination and calibration. Results Of 1010 patients (median [range] age, 61 [34-90] years; 1006 [99.6%] female and 4 [0.4%] male), 138 (13.7%) had a high nodal burden and 212 (21.0%) had lobular breast cancer. The model in the training set (n = 804) included number of SLN macrometastases, presence of SLN micrometastases, SLN ratio, presence of SLN extracapsular extension, and tumor size (not included in lobular subgroup). Upon validation in the test set (n = 201), the area under the receiver operating characteristic curve (AUC) was 0.74 (95% CI, 0.62-0.85) and the calibration was satisfactory. At a sensitivity threshold of ≥80%, all but 5 low-risk patients were correctly classified corresponding to a negative predictive value of 94%. The prediction model for the lobular subgroup reached an AUC of 0.74 (95% CI, 0.66-0.83). Conclusions and Relevance The predictive models and nomograms may facilitate systemic treatment decisions without exposing patients to the risk of arm morbidity due to CALND. External validation is needed. Trial Registration ClinicalTrials.gov Identifier: NCT02240472.
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Affiliation(s)
- Ida Skarping
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Clinical Physiology and Nuclear Medicine, Skane University Hospital, Lund, Sweden
| | - Pär-Ola Bendahl
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Robert Szulkin
- Cytel Inc, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Sara Alkner
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund, Sweden
| | - Yvette Andersson
- Department of Surgery, Västmanland Hospital, Västerås, Sweden
- Centre for Clinical Research Uppsala University, Västmanland Hospital Västerås, Sweden
| | - Leif Bergkvist
- Centre for Clinical Research Uppsala University, Västmanland Hospital Västerås, Sweden
| | - Peer Christiansen
- Department of Plastic and Breast Surgery, Aarhus University Hosoital, Denmark
| | - Tove Filtenborg Tvedskov
- Department of Breast Surgery, Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jan Frisell
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Breast Center Karolinska, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden
| | - Oreste D. Gentilini
- Università Vita-Salute San Raffaele, Milano, Italy
- IRCCS Ospedale San Raffaele, Milano, Italy
| | - Michalis Kontos
- 1st Department of Surgery, National and Kapodistrian University of Athens, Laiko Hospital, Athens, Greece
| | - Thorsten Kühn
- Interdisciplinary Breast Center, University of Ulm, Ulm, Germany
- Breast Center Die Filderklinik, Filderstadt, Germany
| | - Dan Lundstedt
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Birgitte Vrou Offersen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Aarhus University, Faculty of Health, Aarhus, Denmark
| | - Roger Olofsson Bagge
- Sahlgrenska Center for Cancer Research, Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Toralf Reimer
- Department of Obstetrics and Gynecology, University of Rostock, Rostock, Germany
| | - Malin Sund
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Diagnostics and Intervention/Surgery, Umeå University, Umeå, Sweden
| | - Lisa Rydén
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Surgery and Gastroenterology, Skane University Hospital, Lund, Sweden
| | - Jana de Boniface
- Department of Surgery, Capio St Göran’s Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
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Dobruch-Sobczak K, Szlenk A, Gumowska M, Mączewska J, Fronczewska K, Łukasiewicz E, Roszkowska-Purska K, Jakubczak M. Multiparametric ultrasound assessment of axillary lymph nodes in patients with breast cancer. Sci Rep 2024; 14:23072. [PMID: 39366984 PMCID: PMC11452636 DOI: 10.1038/s41598-024-73376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 09/17/2024] [Indexed: 10/06/2024] Open
Abstract
The presence and extent of metastatic disease in axillary lymph nodes (ALNs) in the setting of breast cancer (BC) are important factors for staging and therapy planning. The purpose of this study was to perform a multiparametric sonographic evaluation of ALNs to better differentiate between benign and metastatic nodes. Ninety-nine patients (mean age 54.1 y) with 103 BCs were included in this study, and 103 ALNs were examined sonographically. B-mode parameters, such as size in two dimensions, shape, cortical thickness and capsule outline, were obtained, followed by vascularity assessment via colour Doppler and microflow imaging and stiffness evaluation via shear wave elastography. Postoperative histopathological evaluation was the reference standard. In the statistical analysis, logistic regression and ROC analyses were conducted to search for feature patterns of both types of ALNs to evaluate the prediction qualities of the analysed variables and their combinations. For a cortex larger than 3 mm, without a circumscribed margin of the LN capsule and SWE (E max > 26 kPa), the AUC was 0.823. Multiparametric assessment, which combined conventional US, quantitative SWE and vascularity analysis, was superior to the single-parameter approach in the evaluation of ALNs.
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Affiliation(s)
- Katarzyna Dobruch-Sobczak
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
- Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
| | - Axana Szlenk
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Magdalena Gumowska
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Joanna Mączewska
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Katarzyna Fronczewska
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Ewa Łukasiewicz
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | | | - Magda Jakubczak
- Radiology Department II, The Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
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Jakub JW, Advani P, Maxwell R, Vallow L, Maimone S, McLaughlin S. SOUND (Sentinel Node Versus Observation After Axillary Ultrasound) Trial: Are We Ready to Change the Tune of Our Breast Cancer Practice? Ann Surg Oncol 2024; 31:3672-3674. [PMID: 38418656 DOI: 10.1245/s10434-024-15111-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Affiliation(s)
- James W Jakub
- Division of Surgical Oncology, Mayo Clinic in Florida, Jacksonville, FL, USA.
| | - Pooja Advani
- Division of Hematology & Oncology, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Robert Maxwell
- Division of Breast Imaging, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Laura Vallow
- Department of Radiation Oncology, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Santo Maimone
- Division of Breast Imaging, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Sarah McLaughlin
- Division of Surgical Oncology, Mayo Clinic in Florida, Jacksonville, FL, USA
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Kawaguchi S, Kinowaki K, Tamura N, Masumoto T, Nishikawa A, Shibata A, Tanaka K, Kobayashi Y, Ogura T, Sato J, Kawabata H. High-accuracy prediction of axillary lymph node metastasis in invasive lobular carcinoma using focal cortical thickening on magnetic resonance imaging. Breast Cancer 2023:10.1007/s12282-023-01457-2. [PMID: 37020090 PMCID: PMC10075493 DOI: 10.1007/s12282-023-01457-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 04/02/2023] [Indexed: 04/07/2023]
Abstract
BACKGROUND Invasive lobular carcinoma (ILC) grows diffusely in a single-cell fashion, sometimes presenting only subtle changes in preoperative imaging; therefore, axillary lymph node (ALN) metastases of ILC are difficult to detect using magnetic resonance imaging (MRI). Preoperative underestimation of nodal burden occurs more frequently in ILC than in invasive ductal carcinoma (IDC), however, the morphological assessment for metastatic ALNs of ILC have not fully been investigated. We hypothesized that the high false-negative rate in ILC is caused by the discrepancy in the MRI findings of ALN metastases between ILC and IDC and aimed to identify the MRI finding with a strong correlation with ALN metastasis of ILC. METHOD This retrospective analysis included 120 female patients (mean ± standard deviation age, 57.2 ± 11.2 years) who underwent upfront surgery for ILC at a single center between April 2011 and June 2022. Of the 120 patients, 35 (29%) had ALN metastasis. Using logistic regression, we constructed prediction models based on MRI findings: primary tumor size, focal cortical thickening (FCT), cortical thickness, long-axis diameter (LAD), and loss of hilum (LOH). RESULTS The area under the curves were 0.917 (95% confidence interval [CI] 0.869-0.968), 0.827 (95% CI 0.758-0.896), 0.754 (95% CI 0.671-0.837), and 0.621 (95% CI 0.531-0.711) for the FCT, cortical thickness, LAD, and LOH models, respectively. CONCLUSIONS FCT may be the most relevant MRI finding for ALN metastasis of ILC, and although its prediction model may lead to less underestimation of the nodal burden, rigorous external validation is required.
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Affiliation(s)
- Shun Kawaguchi
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan.
| | | | - Nobuko Tamura
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Tomohiko Masumoto
- Department of Diagnostic Radiology, Toranomon Hospital, Tokyo, Japan
| | - Aya Nishikawa
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Akio Shibata
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Kiyo Tanaka
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Yoko Kobayashi
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Takuya Ogura
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
| | - Junichiro Sato
- Department of Pathology, Toranomon Hospital, Tokyo, Japan
| | - Hidetaka Kawabata
- Department of Breast and Endocrinology Surgery, Toranomon Hospital, 2-2-2 Toranomon, Minato City, Tokyo, 105-8470, Japan
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Jakub JW, Zhang W, Solanki M, Yonkus J, Boughey JC, Harmsen S, Giridhar KV. Response Rates of Invasive Lobular Cancer in Patients Undergoing Neoadjuvant Endocrine or Chemotherapy. Am Surg 2023; 89:230-237. [PMID: 36305029 DOI: 10.1177/00031348221135778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND A gap remains in the role of neoadjuvant therapy for patients with ILC. METHOD Single-institution retrospective review of patients with ILC who received neoadjuvant therapy between 2008 and 2019. RESULTS 141 patients met inclusion criteria: 71 neoadjuvant chemotherapy (NACT) and 70 neoadjuvant endocrine therapy (NET). 7/71 (9.9%) patients had a pCR following NACT compared to 1/70 (1.4%) with NET (P = .063). pCR was observed in 5/18 (27.8%) patients with Her2Neu-positive disease following NACT, compared to 2/53 (3.8%) with Her2Neu-negative disease (P = .01).For luminal B tumors, median Ki-67 decrease was similar following NACT and NET (18.3 vs 16.3, P = .26).T category decreased in 59 (42.1%) patients following neoadjuvant therapy, increased in 9 (6.4%), and was unchanged in 72 (51.4%). More patients had an increase (28.6%) than decrease (12.1%) in their N category, including 13/60 (21.7%) who were clinically node-negative at diagnosis and identified to have node-positive disease following neoadjuvant therapy, at definitive surgery. CONCLUSION In Her2Neu-negative ILC, the potential of a pCR with NACT or NET is low. Most patients' nodal status and tumor size remain unchanged. There is a potential for pathologic stage to be higher at surgery compared to the clinical stage prior to neoadjuvant therapy.
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Affiliation(s)
- James W Jakub
- Division of Surgical Oncology, 156400Mayo Clinic, Jacksonville, FL, USA
| | - Wenexia Zhang
- Department of Breast Surgery, Shenzhen Maternity & Child Healthcare Hospital, 248258Nanfang Medical University, Shen Zhen Shi, Guangdong, China
| | - Malvika Solanki
- Department of Laboratory Medicine and Pathology, 4352Mayo Clinic, Rochester, MN, USA
| | | | - Judy C Boughey
- Division of Breast & Melanoma Surgical Oncology, 4352Mayo Clinic, Rochester, MN, USA
| | - Scott Harmsen
- Department of Biostatistics, 4352Mayo Clinic, Rochester, MN, USA
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Murata T, Watase C, Shiino S, Kurita A, Ogawa A, Jimbo K, Iwamoto E, Yoshida M, Takayama S, Suto A. Development and validation of a pre- and intra-operative scoring system that distinguishes between non-advanced and advanced axillary lymph node metastasis in breast cancer with positive sentinel lymph nodes: a retrospective study. World J Surg Oncol 2022; 20:314. [PMID: 36171615 PMCID: PMC9516796 DOI: 10.1186/s12957-022-02779-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background There are currently no scoring-type predictive models using only easily available pre- and intraoperative data developed for assessment of the risk of advanced axillary lymph node metastasis (ALNM) in patients with breast cancer with metastatic sentinel lymph nodes (SLNs). We aimed to develop and validate a scoring system using only pre- and intraoperative data to distinguish between non-advanced (≤ 3 lymph nodes) and advanced (> 3 lymph nodes) ALNM in patients with breast cancer with metastatic SLNs. Methods We retrospectively identified 804 patients with breast cancer (cT1-3cN0) who had metastatic SLNs and had undergone axillary lymph node dissection (ALND). We evaluated the risk factors for advanced ALNM using logistic regression analysis and developed and validated a scoring system for the prediction of ALNM using training (n = 501) and validation (n = 303) cohorts, respectively. The predictive performance was assessed using the receiver operating characteristic (ROC) curve, area under the curve (AUC), and calibration plots. Results Ultrasound findings of multiple suspicious lymph nodes, SLN macrometastasis, the ratio of metastatic SLNs to the total number of SLNs removed, and the number of metastatic SLNs were significant risk factors for advanced ALNM. Clinical tumor size and invasive lobular carcinoma were of borderline significance. The scoring system based on these six variables yielded high AUCs (0.90 [training] and 0.89 [validation]). The calibration plots of frequency compared to the predicted probability showed slopes of 1.00 (training) and 0.85 (validation), with goodness-of-fit for the model. When the cutoff score was set at 4, the negative predictive values (NPVs) of excluding patients with advanced ALNM were 96.8% (training) and 96.9% (validation). The AUC for predicting advanced ALNM using our scoring system was significantly higher than that predicted by a single independent predictor, such as the number of positive SLNs or the proportion of positive SLNs. Similarly, our scoring system also showed good discrimination and calibration ability when the analysis was restricted to patients with one or two SLN metastases. Conclusion Our easy-to-use scoring system can exclude advanced ALNM with high NPVs. It may contribute to reducing the risk of undertreatment with adjuvant therapies in patients with metastatic SLNs, even if ALND is omitted. Supplementary Information The online version contains supplementary material available at 10.1186/s12957-022-02779-9.
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Affiliation(s)
- Takeshi Murata
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Chikashi Watase
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Sho Shiino
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Arisa Kurita
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Ayumi Ogawa
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Kenjiro Jimbo
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Eriko Iwamoto
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Masayuki Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Shin Takayama
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Akihiko Suto
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
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Accuracy and Utility of Preoperative Ultrasound-Guided Axillary Lymph Node Biopsy for Invasive Breast Cancer: A Systematic Review and Meta-Analysis. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:3307627. [PMID: 36203726 PMCID: PMC9532070 DOI: 10.1155/2022/3307627] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/07/2022] [Accepted: 09/10/2022] [Indexed: 12/05/2022]
Abstract
Background With the acceleration of the pace of life and work, the incidence rate of invasive breast cancer is getting higher and higher, and early diagnosis is very important. This study screened and analyzed the published literature on ultrasound-guided biopsy of invasive breast cancer and obtained the accuracy and practicality of preoperative biopsy. Method The four databases were screened for the literature. There was no requirement for the start date of retrieval, and the deadline was July 2, 2022. Two researchers screened the literature, respectively, and included the literature on preoperative ultrasound-guided biopsy and intraoperative and postoperative pathological diagnosis of invasive breast cancer. The diagnostic data included in the literature were extracted and meta-analyzed with RevMan 5.4 software, and the bias risk map, forest map, and summary receiver operating characteristic curves (SROC) were drawn. Results The included 19 studies involved about 18668 patients with invasive breast cancer. The degree of bias of the included literature is low. The distribution range of true positive, false positive, true negative, and false negative in the forest map is large, which may be related to the large difference in the number of patients in each study. Most studies in the SROC curve are at the upper left, indicating that the accuracy of ultrasound-guided axillary biopsy is very high. Conclusion For invasive breast cancer, preoperative ultrasound-guided biopsy can accurately predict staging and grading of breast cancer, which has important reference value for surgery and follow-up treatment.
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Perivascular infiltration reflects subclinical lymph node metastasis in invasive lobular carcinoma. Virchows Arch 2022; 481:533-543. [PMID: 35947202 DOI: 10.1007/s00428-022-03391-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Invasive lobular carcinoma (ILC) is characterized by discohesive cells due to irreversible loss of E-cadherin expression and multiple satellites, where individual cell migration is evident without disturbance of the stroma. Neoplastic cells sometimes infiltrate the surrounding vessel in satellites. Here, we aimed to clarify the specific role of perivascular infiltration (PVI) and ameboid migration, characterized by nondisturbance of the background stromal structure, in ILCs. A total of 139 cases with ILC and 122 cases with invasive breast carcinoma of no special type (IBC-NST) were evaluated retrospectively. PVI was significantly more common in ILC than in IBC-NST (50% [70 of 139 cases] vs. 9% [11 of 122 cases], p < 0.001). ILC cases with PVI showed a larger pathological tumour size than clinical tumour size (p < 0.01), a higher frequency of pathological node status pN2-pN3 when limited to clinically node-negative cases (p < 0.01) and lower circularity of tumour morphology on imaging (p < 0.01) than ILC cases without PVI. In the pathological evaluation, the intensity and occupancy of tumour cells expressing phospho-myosin light chain 2, which is a hallmark of ameboid migration, were significantly higher in ILC cases with PVI than in those without PVI at the tumour margins (p < 0.05). ILC with PVI is associated with irregular, poorly defined tumour margins and lymph node metastasis without adenopathy, which is difficult to assess using imaging. PVI may be caused by ameboid migration, as shown by the positive expression of phospho-myosin light chain 2. The presence of PVI may be a predictor for clinically node-negative pN2-pN3 in ILC patients.
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Preoperative axillary nodal staging of invasive lobular breast cancer with ultrasound guided fine needle aspiration in patients with suspicious ultrasound findings versus aspiration in all patients - A retrospective single institutional analysis. Eur J Surg Oncol 2021; 48:742-747. [PMID: 34872778 DOI: 10.1016/j.ejso.2021.11.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/20/2021] [Accepted: 11/26/2021] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION - At present, surgical strategies for breast cancer patients with >2 lymph nodes (LN) involved differ from those with no or lower degree of nodal involvement. Preoperative assessment of the axilla is less sensitive in patients with lobular carcinoma (ILC) than patients with other histological tumour types. MATERIALS AND METHODS - A retrospective analysis of axillary staging by palpation, axillary ultrasound (AXUS) and AXUS-guided fine-needle aspiration cytology (FNAC) of 153 patients with ILC diagnosed and operated on between January 2013 and December 2020 was performed. Patients had either sentinel node biopsy or axillary lymph node dissection according to current practice. In period 1, patients had FNAC only when AXUS suggested nodal involvement (n = 106), and in period 2, all ILC patients had axillary FNAC (n = 47). RESULTS - Of the factors associated with >2LNs involvement, logistic regression suggested only AXUS/FNAC based staging as independent variable for all patients. Patients with AXUS-guided FNAC had a significantly higher proportion of true negative and lower proportion of true positive cases in the P2 period (0 vs 55% and 72% vs 11% for >2 LNs involvement, respectively; both p < 0.0001). CONCLUSIONS - AXUS-guided FNAC of all ILC patients did not result in improved preoperative identification of patients with >2 metastatic LNs but increased the false-negative rate of the assessment by producing false-negative results in patients who would not have undergone a biopsy due to negative AXUS findings.
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Narbe U, Bendahl PO, Fernö M, Ingvar C, Dihge L, Rydén L. St Gallen 2019 guidelines understage the axilla in lobular breast cancer: a population-based study. Br J Surg 2021; 108:1465-1473. [PMID: 34636842 PMCID: PMC10364867 DOI: 10.1093/bjs/znab327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/08/2021] [Accepted: 08/20/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND The St Gallen 2019 guidelines for primary therapy of early breast cancer recommend omission of completion axillary lymph node dissection (cALND), regardless of histological type, in patients with one or two sentinel lymph node (SLN) metastases. Concurrently, adjuvant chemotherapy is endorsed for luminal A-like disease with four or more axillary lymph node (ALN) metastases. The aim of this study was to estimate the proportion of patients with invasive lobular cancer (ILC) versus invasive ductal cancer of no special type (NST) with one or two SLN metastases for whom cALND would have led to a recommendation for adjuvant chemotherapy. METHODS Patients with ILC and NST who had surgery between 2014 and 2017 were identified in the National Breast Cancer Register of Sweden. After exclusion of patients with incongruent or missing data, those who fulfilled the St Gallen 2019 criteria for cALND omission were included in the population-based study cohort. RESULTS Some 1886 patients in total were included in the study, 329 with ILC and 1507 with NST. Patients with ILC had a higher metastatic nodal burden and were more likely to have a luminal A-like subtype than those with NST. The prevalence of at least four ALN metastases was higher in ILC (31.0 per cent) than NST (14.9 per cent), corresponding to an adjusted odds ratio of 2.26 (95 per cent c.i. 1.59 to 3.21). Luminal A-like breast cancers with four or more ALN metastases were over-represented in ILC compared with NST, 52 of 281 (18.5 per cent) versus 43 of 1299 (3.3 per cent) (P < 0.001). CONCLUSION Patients with ILC more often have luminal A-like breast cancer with at least four nodal metastases. Omission of cALND in patients with luminal A-like invasive lobular cancer and one or two SLN metastases warrants future attention as there is a risk of nodal understaging and undertreatment in one-fifth of patients.
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Affiliation(s)
- U Narbe
- Department of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden.,Department of Oncology, Växjö Central Hospital, Växjö, Sweden
| | - P-O Bendahl
- Department of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden
| | - M Fernö
- Department of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden
| | - C Ingvar
- Department of Clinical Sciences, Division of Surgery, Lund University, Lund, Sweden.,Department of Surgery, Skåne University Hospital, Lund, Sweden
| | - L Dihge
- Department of Clinical Sciences, Division of Surgery, Lund University, Lund, Sweden.,Department of Plastic and Reconstructive Surgery, Skåne University Hospital, Malmö, Sweden
| | - L Rydén
- Department of Clinical Sciences, Division of Surgery, Lund University, Lund, Sweden.,Department of Surgery, Skåne University Hospital, Lund, Sweden
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11
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Zhang X, Yang Z, Cui W, Zheng C, Li H, Li Y, Lu L, Mao J, Zeng W, Yang X, Zheng J, Shen J. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer. Eur Radiol 2021; 31:5924-5939. [PMID: 33569620 DOI: 10.1007/s00330-020-07674-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 12/09/2020] [Accepted: 12/28/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To develop and validate a multiparametric MRI-based radiomics nomogram for pretreatment predicting the axillary sentinel lymph node (SLN) burden in early-stage breast cancer. METHODS A total of 230 women with early-stage invasive breast cancer were retrospectively analyzed. A radiomics signature was constructed based on preoperative multiparametric MRI from the training dataset (n = 126) of center 1, then tested in the validation cohort (n = 42) from center 1 and an external test cohort (n = 62) from center 2. Multivariable logistic regression was applied to develop a radiomics nomogram incorporating radiomics signature and predictive clinical and radiological features. The radiomics nomogram's performance was evaluated by its discrimination, calibration, and clinical use and was compared with MRI-based descriptors of primary breast tumor. RESULTS The constructed radiomics nomogram incorporating radiomics signature and MRI-determined axillary lymph node (ALN) burden showed a good calibration and outperformed the MRI-determined ALN burden alone for predicting SLN burden (area under the curve [AUC]: 0.82 vs. 0.68 [p < 0.001] in training cohort; 0.81 vs. 0.68 in validation cohort [p = 0.04]; and 0.81 vs. 0.58 [p = 0.001] in test cohort). Compared with the MRI-based breast tumor combined descriptors, the radiomics nomogram achieved a higher AUC in test cohort (0.81 vs. 0.58, p = 0.005) and a comparable AUC in training (0.82 vs. 0.73, p = 0.15) and validation (0.81 vs. 0.65, p = 0.31) cohorts. CONCLUSION A multiparametric MRI-based radiomics nomogram can be used for preoperative prediction of the SLN burden in early-stage breast cancer. KEY POINTS • Radiomics nomogram incorporating radiomics signature and MRI-determined ALN burden outperforms the MRI-determined ALN burden alone for predicting SLN burden in early-stage breast cancer. • Radiomics nomogram might have a better predictive ability than the MRI-based breast tumor combined descriptors. • Multiparametric MRI-based radiomics nomogram can be used as a non-invasive tool for preoperative predicting of SLN burden in patients with early-stage breast cancer.
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Affiliation(s)
- Xiang Zhang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Zehong Yang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Wenju Cui
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88 Keling Road, Suzhou, 215163, People's Republic of China
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, No. 99 Shangda Road, Shanghai, 200444, People's Republic of China
| | - Chushan Zheng
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Haojiang Li
- Department of Radiology, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, No. 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Yudong Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Department of Breast Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Liejing Lu
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Jiaji Mao
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Weike Zeng
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China
| | - Xiaodong Yang
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88 Keling Road, Suzhou, 215163, People's Republic of China
| | - Jian Zheng
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88 Keling Road, Suzhou, 215163, People's Republic of China.
| | - Jun Shen
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, People's Republic of China.
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12
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Cocco D, ElSherif A, Wright MD, Dempster MS, Kruse ML, Li H, Valente SA. Invasive Lobular Breast Cancer: Data to Support Surgical Decision Making. Ann Surg Oncol 2021; 28:5723-5729. [PMID: 34324111 DOI: 10.1245/s10434-021-10455-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/22/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Invasive lobular carcinoma (ILC) is thought be a unique entity with higher rates of multifocal/multicentric and bilateral disease. This study aimed to evaluate the true extent of the disease, risk of bilaterality, lymph node involvement, and impact of preoperative imaging to help guide surgical decision making. METHODS A retrospective analysis identified patients treated for ILC between 2004 and 2017. Clinical staging and pathologic results were compared. Follow-up details including local recurrence, contralateral breast cancer (CBC), and survival outcomes were evaluated. RESULTS The study identified 692 patients with ILC, including 43 patients (6%) with a diagnosis of CBC and 232 patients (33%) with a diagnosis of multifocal/multicentric disease at presentation. Preoperative magnetic resonance imaging (MRI) led to an identification of additional disease in 20% of the patients. Preoperative MRI resulted in a more accurate prediction of tumor size staging but did not improve the discordance between clinical and pathologic nodal staging. Overall, the rate of imaging occult lymph node disease was 24%. At the 6-year follow-up evaluation, a local recurrence had developed in 2.3%, a CBC in 2.3, and a distant metastasis in 9.4% of the patients. The overall survival rate was 96% at 3 years and 91% at 5 years. CONCLUSIONS Invasive lobular carcinoma is a distinct subset of cancer that poses a diagnostic staging challenge. The results of this study favor MRI for accurate tumor staging and for improving detection of multicentricity and bilaterality. However, clinicians should be aware of the higher likelihood of occult lymph node involvement with ILC and subsequent early metastasis.
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Affiliation(s)
- Daniela Cocco
- Division of Breast Surgery, Department of General Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Ayat ElSherif
- Division of Breast Surgery, Department of General Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Matthew D Wright
- Division of Breast Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Marcus S Dempster
- Division of Breast Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Megan L Kruse
- Division of Breast Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Hong Li
- Department of Quantitative Health Science, Cleveland Clinic, Cleveland, OH, USA
| | - Stephanie A Valente
- Division of Breast Surgery, Department of General Surgery, Cleveland Clinic, Cleveland, OH, USA.
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13
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Axillary Nodal Metastases in Invasive Lobular Carcinoma Versus Invasive Ductal Carcinoma: Comparison of Node Detection and Morphology by Ultrasound. AJR Am J Roentgenol 2021; 218:33-41. [PMID: 34319162 DOI: 10.2214/ajr.21.26135] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Invasive lobular carcinoma is more subtle on imaging compared with invasive ductal carcinoma; nodal metastases may also differ on imaging between these. Objective: To determine whether invasive lobular carcinoma and invasive ductal carcinoma differ in the detection rate by ultrasound (US) of metastatic axillary nodes and in metastatic nodes' US characteristics. Methods: This retrospective study included 695 women (median age 53 years) with breast cancer in a total of 723 breasts (76 lobular, 586 ductal, 61 mixed), with biopsy-proven axillary nodal metastases and who underwent pretreatment US. A single breast radiologist reviewed US images in patients with suspicious nodes on US and classified node number, size, and morphology. Morphologic assessment used a previously described classification based on the relationship between node cortex and hilum. Nodal findings were compared between lobular and ductal carcinoma. A second radiologist independently classified node morphology in 241 cancers to assess interreader agreement. Results: A total of 99 metastatic axillary nodes (15 lobular, 66 ductal, 18 mixed) were not visualized on US and were diagnosed by surgical biopsy. The remaining 624 metastatic nodes (61 lobular, 520 ductal, 43 mixed) were visualized on US and diagnosed by US-guided FNA. Thus, US detected the metastatic nodes in 80.3% for lobular carcinoma versus 88.7% for ductal carcinoma (p=.04). Among metastatic nodes detected by US, retrospective review identified ≥3 abnormal nodes in 50.8% of lobular carcinoma versus 69.2% of ductal carcinoma (p=.003); node size was ≤2.0 cm in 65.6% for lobular carcinoma versus 47.3% for ductal carcinoma (p=.03); morphology was type III/IV (diffuse cortical thickening without hilar mass effect) rather than type V/VI (marked cortical thickening with hilar mass effect) in 68.9% for lobular carcinoma versus 28.8% for ductal carcinoma (p<.001). Interreader agreement assessment for morphology exhibited kappa coefficient of 0.63 (95% CI, 0.54-0.73). Conclusion: US detects a lower percentage of nodal metastases in lobular than ductal carcinoma. Nodal metastases in lobular carcinoma more commonly show diffuse cortical thickening and with less hilar mass effect. Clinical Impact: A lower threshold may be warranted to recommend biopsy of suspicious axillary nodes detected on US in patients with lobular carcinoma.
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14
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Is image-guided core needle biopsy of borderline axillary lymph nodes in breast cancer patients clinically helpful? Am J Surg 2021; 223:101-105. [PMID: 34311951 DOI: 10.1016/j.amjsurg.2021.07.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/08/2021] [Accepted: 07/14/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND When borderline axillary lymph nodes (bALN) are identified on ultrasound (US) for breast cancer (BC) patients, preoperative management is unclear. We aimed to evaluate if core needle biopsy (CNB) for bALN is clinically helpful or disruptive. METHODS Retrospective review of BC patients with bALN from 2014 to 2019 was performed. Clinicopathologic data were compared for those who did and did not have CNB. RESULTS CNB (n = 34) and no CNB (n = 31) were similar with respect to clinicopathologic factors. Surgical LN-positive rate was the same between cohorts (p = 0.26). CNB was disruptive in 58.8 %; all had CNB for pN0 disease. CNB was helpful in 34.2 %: 14.7 % proceeded directly to axillary dissection; 17.6 % had positive LN localized after neoadjuvant chemotherapy. CONCLUSIONS CNB for bALN is more likely clinically disruptive and did not impact surgical LN positive rate. BC patients with bALN should undergo CNB only if it will change clinical management.
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15
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Skarping I, Förnvik D, Zackrisson S, Borgquist S, Rydén L. Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer. Breast Cancer Res Treat 2021; 189:131-144. [PMID: 34120224 PMCID: PMC8302508 DOI: 10.1007/s10549-021-06283-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/01/2021] [Indexed: 02/05/2023]
Abstract
Purpose High-performing imaging and predictive markers are warranted to minimize surgical overtreatment of the axilla in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NACT). Here we have investigated whether axillary ultrasound (AUS) could identify axillary lymph node (ALN) metastasis (ALNM) pre-NACT and post-NACT for BC. The association of tumor, AUS features and mammographic density (MD) with axillary-pathological complete response (axillary-pCR) post-NACT was also assessed. Methods The NeoDense-study cohort (N = 202, NACT during 2014–2019), constituted a pre-NACT cohort, whereas patients whom had a cytology verified ALNM pre-NACT and an axillary dissection performed (N = 114) defined a post-NACT cohort. AUS characteristics were prospectively collected pre- and post-NACT. The diagnostic accuracy of AUS was evaluated and stratified by histological subtype and body mass index (BMI). Predictors of axillary-pCR were analyzed, including MD, using simple and multivariable logistic regression models. Results AUS demonstrated superior performance for prediction of ALNM pre-NACT in comparison to post-NACT, as reflected by the positive predictive value (PPV) 0.94 (95% CI 0.89–0.97) and PPV 0.76 (95% CI 0.62–0.87), respectively. We found no difference in AUS performance according to neither BMI nor histological subtype. Independent predictors of axillary-pCR were: premenopausal status, ER-negativity, HER2-overexpression, and high MD. Conclusion Baseline AUS could, to a large extent, identify ALNM; however, post-NACT, AUS was insufficient to determine remaining ALNM. Thus, our results support the surgical staging of the axilla post-NACT. Baseline tumor biomarkers and patient characteristics were predictive of axillary-pCR. Larger, multicenter studies are needed to evaluate the performance of AUS post-NACT. Supplementary Information The online version contains supplementary material available at 10.1007/s10549-021-06283-8.
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Affiliation(s)
- Ida Skarping
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden. .,Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden.
| | - Daniel Förnvik
- Medical Radiation Physics, Department of Translational Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Department of Imaging and Functional Medicine, Skåne University Hospital, Lund University, Lund and Malmö, Sweden
| | - Signe Borgquist
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Lisa Rydén
- Division of Surgery, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Surgery, Skåne University Hospital, Lund, Sweden.,Aarhus University, Aarhus, Denmark
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16
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Romics L, Doughty J, Stallard S, Mansell J, Blackhall V, Lannigan A, Elgammal S, Reid J, McGuigan MC, Savioli F, Tovey S, Murphy D, Reid I, Malyon A, McIlhenny J, Wilson C. A prospective cohort study of the safety of breast cancer surgery during COVID-19 pandemic in the West of Scotland. Breast 2021; 55:1-6. [PMID: 33285400 PMCID: PMC7687359 DOI: 10.1016/j.breast.2020.11.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION In order to minimise the risk of breast cancer patients for COVID-19 infection related morbidity and mortality prioritisation of care has utmost importance since the onset of the pandemic. However, COVID-19 related risk in patients undergoing breast cancer surgery has not been studied yet. We evaluated the safety of breast cancer surgery during COVID-19 pandemic in the West of Scotland region. METHODS A prospective cohort study of patients having breast cancer surgery was carried out in a geographical region during the first eight weeks of the hospital lockdown and outcomes were compared to the regional cancer registry data of pre-COVID-19 patients of the same units (n = 1415). RESULTS 188 operations were carried out in 179 patients. Tumour size was significantly larger in patients undergoing surgery during hospital lockdown than before (cT3-4: 16.8% vs. 7.4%; p < 0.001; pT2 - pT4: 45.5% vs. 35.6%; p = 0.002). ER negative and HER-2 positive rate was significantly higher during lockdown (ER negative: 41.3% vs. 17%, p < 0.001; HER-2 positive: 23.4% vs. 14.8%; p = 0.004). While breast conservation rate was lower during lockdown (58.6% vs. 65%; p < 0.001), level II oncoplastic conservation was significantly higher in order to reduce mastectomy rate (22.8% vs. 5.6%; p < 0.001). No immediate reconstruction was offered during lockdown. 51.2% had co-morbidity, and 7.8% developed postoperative complications in lockdown. There was no peri-operative COVID-19 infection related morbidity or mortality. CONCLUSION breast cancer can be safely provided during COVID-19 pandemic in selected patients.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Breast Carcinoma In Situ/pathology
- Breast Carcinoma In Situ/surgery
- Breast Neoplasms/pathology
- Breast Neoplasms/surgery
- COVID-19/epidemiology
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Ductal, Breast/surgery
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Intraductal, Noninfiltrating/surgery
- Carcinoma, Lobular/pathology
- Carcinoma, Lobular/surgery
- Cohort Studies
- Cross Infection/epidemiology
- Female
- Humans
- Mastectomy/methods
- Mastectomy/statistics & numerical data
- Mastectomy, Segmental/methods
- Mastectomy, Segmental/statistics & numerical data
- Middle Aged
- Neoplasm Staging
- Postoperative Complications/epidemiology
- Prospective Studies
- SARS-CoV-2
- Scotland/epidemiology
- State Medicine
- Tumor Burden
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Affiliation(s)
- Laszlo Romics
- New Victoria Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom; Academic Unit of Surgery, College of Medical, Veterinary Sciences and Life, University of Glasgow, United Kingdom.
| | - Julie Doughty
- Gartnavel General Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - Sheila Stallard
- Gartnavel General Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - James Mansell
- University Hospital Wishaw, Lanarkshire Health Board, NHS Scotland, United Kingdom
| | - Vivienne Blackhall
- New Victoria Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - Alison Lannigan
- University Hospital Wishaw, Lanarkshire Health Board, NHS Scotland, United Kingdom
| | - Suzanne Elgammal
- University Hospital Crosshouse, Ayrshire and Arran Health Board, NHS Scotland, United Kingdom
| | - Judith Reid
- University Hospital Crosshouse, Ayrshire and Arran Health Board, NHS Scotland, United Kingdom
| | - Marie-Claire McGuigan
- New Victoria Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - Francesca Savioli
- Academic Unit of Surgery, College of Medical, Veterinary Sciences and Life, University of Glasgow, United Kingdom
| | - Sian Tovey
- University Hospital Crosshouse, Ayrshire and Arran Health Board, NHS Scotland, United Kingdom
| | - Dermott Murphy
- University Hospital Wishaw, Lanarkshire Health Board, NHS Scotland, United Kingdom
| | - Iona Reid
- New Victoria Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - Andy Malyon
- Glasgow Royal Infirmary, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
| | - Jennifer McIlhenny
- University Hospital Wishaw, Lanarkshire Health Board, NHS Scotland, United Kingdom
| | - Christopher Wilson
- Gartnavel General Hospital, Greater Glasgow and Clyde Health Board, NHS Scotland, United Kingdom
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17
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Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI. Breast Cancer Res Treat 2021; 186:463-473. [PMID: 33389406 DOI: 10.1007/s10549-020-06056-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 12/09/2020] [Indexed: 01/07/2023]
Abstract
PURPOSE To investigate clinical and imaging features associated with a high nodal burden (≥ 3 metastatic lymph nodes [LNs]) and compare diagnostic performance of US and MRI in patients with invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC). METHODS Retrospective search revealed 239 patients with ILC and 999 with IDC who underwent preoperative US and MRI between January 2016 and June 2019. Patients with ILC were propensity-score-matched with patients with IDC. Univariate and multivariate logistic regression analyses were performed to determine factors associated with ≥ 3 metastatic LNs. RESULTS 412 patients (206 ILC and 206 IDC) were evaluated. Of all patients with ILC, 27.2% (56/206) were node-positive and 7.8% (16/206) showed a high nodal burden. In multivariate analysis, the clinical N stage was the only independent factor associated with a high nodal burden in patients with IDC (odds ratio [OR] 6.24; 95% confidence interval [CI] 1.57-24.73; P = 0.009), but not in patients with ILC. Increased cortical thickness with loss of fatty hilum on US was associated with a high nodal burden in patients with ILC (OR 58.40; 95% CI 5.09-669.71; P = 0.001) and IDC (OR 24.14; 95% CI 3.52-165.37; P = 0.001), while suspicious LN findings at MRI were independently associated with a high nodal burden in ILC only (OR 13.94; 95% CI 2.61-74.39; P = 0.002). CONCLUSION In patients with ILC, MRI findings of suspicious LNs were helpful to predict a high nodal disease burden.
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18
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Is axillary imaging for invasive lobular carcinoma accurate in determining clinical node staging? Breast Cancer Res Treat 2021; 185:567-572. [PMID: 33389408 DOI: 10.1007/s10549-020-06047-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 12/05/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Preoperative evaluation of clinical N-stage (cN) is difficult in breast cancer patients with invasive lobular carcinoma (ILC). Our goal was to assess the predictive value of axillary imaging in ILC by comparing imaging cN and pathologic N-stage (pN). METHODS A single-institution retrospective review was performed for newly diagnosed stage I-III ILC patients undergoing preoperative breast imaging from 2011 to 2016. Clinicopathologic factors; mammogram, MRI, and ultrasound findings; and surgical pathology data were reviewed. Sub-analysis for pN2-N3 patients was performed to determine imaging sensitivity for patients with a larger nodal disease burden. Statistical analysis included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each imaging modality. RESULTS Of the total 349 patients included, 70.5% were cN0, and 62% were pN0 (p = 0.03). For all patients, mammogram sensitivity was 7%, specificity 97%, PPV 50%, NPV 72%; ultrasound sensitivity was 26%, specificity 86%, PPV 52%, NPV 67%; MRI sensitivity was 7%, specificity 98%, PPV 80%, NPV 51%. For pN2/N3 patients, 38% were identified as cN0. Mammogram sensitivity was 10%; ultrasound 42%; MRI 65%. Pathology evaluation of N2/N3 patients indicated LN were replaced with ILC but maintained normal architecture. The average largest pathologic tumor deposit (1.5 ± 0.8 cm) correlated with average largest imaging LN size (1.4 ± 0.6 cm) (p = 0.58). CONCLUSION A statistically significant difference between clinical and pathologic N-stage exists for ILC patients. MRI was most sensitive for identification of pN2-N3 patients and should be considered part of routine axillary imaging evaluation for ILC patients.
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McNeil K, Macaskill EJ, Purdie C, Evans A. The prognostic impact of mode of detection of axillary metastases for women with invasive breast cancer: A retrospective observational study. Eur J Surg Oncol 2020; 47:813-817. [PMID: 33153822 DOI: 10.1016/j.ejso.2020.10.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 10/21/2020] [Accepted: 10/27/2020] [Indexed: 11/24/2022] Open
Abstract
AIM To identify the breast cancer specific survival (BCSS) associated with nodal metastasis identified by axillary core biopsy (ACB), and by sentinel node biopsy (SNB) compared with node negative patients. A further aim was to assess the prognostic effects of axillary ultrasound (US) features and amount of tumour in ACB specimens. METHODS Consecutive patients with cancer were identified from a database of US lesions undergoing breast biopsy. The three study groups were: a) those with metastasis identified by ACB, b) those undergoing immediate surgery with positive SNB and c) those undergoing immediate surgery with a negative SNB. US features and the amount of tumour in the ACB specimen were assessed by review of US images and pathological reports. BCSS was assessed using Kaplan Meier survival curves. RESULTS 967 patients were included, with mean follow-up of 6.0 yrs. There were 90 breast cancer deaths: 26% of those with a positive ACB, 11% with a positive SNB and 4% of those with a negative SNB. BCSS was significantly different between the groups (p < 0.001) with hazard ratio, compared with the negative SNB group, of 7.8 (95% CI 4.4-13.7) for patients with positive ACB and 2.5 (95% CI 1.3-4.6) for positive SNB. Axillary US findings and assessment of the amount of tumour in the ACB did not influence survival. CONCLUSION This study suggests that women with a positive ACB have a worse BCSS compared to those with a positive SNB. This should be borne in mind when systemic therapy is being considered.
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Affiliation(s)
- Kirsty McNeil
- Clinical Radiology, Ninewells Hospital and Medical School, Dundee, Scotland, DD1 9SY, UK; NHS Tayside, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK; University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK.
| | - E Jane Macaskill
- Department of Breast Surgery, Ninewells Hospital and Medical School, Dundee, Scotland, DD1 9SY, UK; NHS Tayside, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK; University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK.
| | - Colin Purdie
- Department of Pathology, Ninewells Hospital and Medical School, Dundee, Scotland, DD1 9SY, UK; NHS Tayside, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK; University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK.
| | - Andy Evans
- Department of Breast Imaging, Ninewells Hospital and Medical School, Dundee, Scotland, DD1 9SY, UK; NHS Tayside, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK; University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK.
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Veverkova L, Melichar B, Zlamalova N, Vomackova K, Koleckova M, Thomas RP. Association between negative preoperative axillary node staging and surgical sentinel node biopsy in patients with newly diagnosed breast cancer: A retrospective analysis. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2020; 165:64-68. [PMID: 32116311 DOI: 10.5507/bp.2020.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/29/2020] [Indexed: 11/23/2022] Open
Abstract
AIM The aim of this retrospective study was to analyse the preoperative ultrasound findings in patients with minimal or almost no morphological changes of axillary lymph nodes (LN) and to correlate these findings with the results of sentinel node (SN) biopsy. MATERIALS AND METHODS Between January 2014 and September 2018, 289 female patients with newly diagnosed breast cancer and negative preoperative axillary staging were examined with preoperative ultrasound evaluation of axillary LNs. Patients with no evidence of LN metastases underwent primary surgical treatment with SN biopsy. Negative predictive value (NPV) of preoperative ultrasound was evaluated and the histopathological findings in positive SN biopsies were correlated with tumour type and preoperative ultrasound LN imaging. RESULTS Of 289 patients with negative preoperative axillary staging who had primary surgical treatment, 268 patients had negative SN biopsy while SN metastases were detected in 21 patients. Of patients with positive SN biopsies, 2 patients had negative core biopsy of axillary LN before surgery. The preoperative ultrasound examination was negative in the remaining 19 patients with SN metastases. CONCLUSIONS Preoperative ultrasonography is very accurate in the detecting of axillary LN metastases. Patients with primary tumour size ≥ 1 cm, with grade ≥ 2 no special type carcinomas (NST - no special type, also known as invasive ductal carcinoma) or multicentric lobular invasive cancer should undergo a more thorough ultrasound evaluation.
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Affiliation(s)
- Lucia Veverkova
- Department of Radiology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Bohuslav Melichar
- Department of Oncology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Nora Zlamalova
- Department of Surgery I, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Katherine Vomackova
- Department of Surgery I, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Marketa Koleckova
- Department of Pathology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Rohit Philip Thomas
- Department of Diagnostic and Interventional Radiology, UKGM University Hospital Marburg, Philipps University, Marburg, Germany
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Can We Identify or Exclude Extensive Axillary Nodal Involvement in Breast Cancer Patients Preoperatively? JOURNAL OF ONCOLOGY 2019; 2019:8404035. [PMID: 31885585 PMCID: PMC6893267 DOI: 10.1155/2019/8404035] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 09/23/2019] [Accepted: 10/08/2019] [Indexed: 11/30/2022]
Abstract
Background Breast cancer treatment has rapidly changed in the last few years. Particularly, treatment of patients with axillary nodal involvement has evolved after publication of several randomized clinical trials. Omitting axillary lymph node dissection in selected early breast cancer patients with one or two positive sentinel nodes did not compromise overall survival nor regional disease control in these trials. Hence, either excluding or identifying extensive axillary nodal involvement becomes increasingly important. Purpose To evaluate whether the current diagnostic modalities can accurately identify or exclude extensive axillary nodal involvement. Evaluated modalities were axillary ultrasound, ultrasound-guided needle biopsy, MRI, and PET/CT. Methods A literature search was performed in the Cochrane Library, EMBASE, and PubMed databases up to June 2019. The search strategy included terms for breast cancer, lymph nodes, and the different imaging modalities. Only articles that reported pathological N-stage or the total number of positive axillary lymph nodes were considered for inclusion. Studies with patients undergoing neoadjuvant systemic therapy were excluded. Conclusion There is no evidence that any of the current preoperative axillary imaging modalities can accurately exclude or identify breast cancer patients with extensive nodal involvement. Both negative PET/CT and negative MRI scans (with gadolinium-based contrast agents) are promising in excluding extensive nodal involvement. Larger studies should be performed to strengthen this conclusion. False-negative rates of axillary ultrasound and ultrasound-guided needle biopsy are too high to rely on negative results of these modalities in excluding extensive nodal involvement.
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Upadhyaya VS, Lim GH, Chan EYK, Fook-Chong SMC, Leong LCH. Evaluating the preoperative breast cancer characteristics affecting the accuracy of axillary ultrasound staging. Breast J 2019; 26:162-167. [PMID: 31562691 DOI: 10.1111/tbj.13635] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/31/2019] [Accepted: 09/06/2019] [Indexed: 11/30/2022]
Abstract
We evaluate the preoperative breast cancer (BC) characteristics that affect the diagnostic accuracy of axillary ultrasound (US) and determine the reliability of US in the different subgroups of BC patients. Axillary US assessments in women with invasive BC diagnosed between 2009 and 2016 in a single institution were retrospectively reviewed. The diagnostic accuracy of axillary US was obtained using surgical nodal histology as the gold standard. Preoperative breast tumor sonographic and histological factors affecting axillary US diagnostic accuracy were examined. Of the 605 newly diagnosed invasive BC cases reviewed, 251 (41.5%) had nodal metastases. Axillary US sensitivity was 75.7%, specificity 92.9%, positive predictive value 88.4%, negative predictive value 84.4%, and false-negative rate 24.3%. Lower US sensitivity was seen with invasive lobular cancer (ILC) (P = .043), grade I/II, (P = .021), unifocal (P = .039), and smaller tumors (P < .001). US specificity was lower in grade III (P < .001), estrogen receptor (ER)-negative (P < .001), progesterone receptor (PR)-negative (P = .004), HER2-positive (P = .015), triple-negative (P = .001), and larger breast tumors (P < .001). US has moderate sensitivity and good specificity in detecting metastatic axillary lymph nodes. Based on preoperative cancer characteristics, US was less sensitive for nodal metastases from ILC, unifocal, lower grade, and smaller breast tumors. It was also less specific in grade III, ER-negative, PR-negative, HER2-positive, triple-negative, and larger breast tumors. Caution is suggested in interpreting the US axillary findings of patients with these preoperative tumor features.
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Affiliation(s)
| | - Geok Hoon Lim
- Breast Department, KK Women's and Children's Hospital, Singapore
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Ahmed M, Douek M. Is axillary ultrasound imaging necessary for all patients with breast cancer? Br J Surg 2019; 105:930-932. [PMID: 29902347 DOI: 10.1002/bjs.10784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 11/09/2017] [Indexed: 11/10/2022]
Abstract
Better use selectively
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Affiliation(s)
- M Ahmed
- Research Oncology, Division of Cancer Studies, King's College London, Guy's Hospital Campus, Great Maze Pond, London SE1 9RT, UK
| | - M Douek
- Research Oncology, Division of Cancer Studies, King's College London, Guy's Hospital Campus, Great Maze Pond, London SE1 9RT, UK
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