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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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Dagıstanli S, Sonmez S, Bulut N, Kose AM. Evaluation of treatment responses among subgroups of breast cancer patients receiving neoadjuvant chemotherapy. J Cancer Res Ther 2023; 19:S821-S826. [PMID: 38384061 DOI: 10.4103/jcrt.jcrt_1409_22] [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: 07/07/2022] [Accepted: 02/06/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Breast MRIs are helpful for determining treatment plans, responses, and prospective survival analyses. In this retrospective cross-sectional study, we compared the preoperative MRI treatment response to neoadjuvant chemotherapy (NAC) administration with the postoperative pathological response in breast cancer patients. MATERIALS AND METHODS We analyzed data from 108 hospitalized patients receiving NAC between 2020 and 2022. We used MRI to evaluate the treatment response to NAC in patients with locally advanced breast cancers who had not received any prior treatment. We recorded the longest diameter of the primary tumor and the numbers of secondary tumors and axillary lymph nodes. In addition, we examined the correlation between the MRI response rate and pathological specimen results. RESULTS In our subgroup analyses, we found the best pathological response in patients with luminal B (Ki-67 index >14%) breast cancer and positivity for both hormone receptor and HER-2 markers. After comparing the pathological and radiological treatment responses in tumors and lymph nodes, the sensitivities were 90.3% for the pathological assessment and 42.8% for the radiological assessment, while the accuracies were 84.2% for the pathological assessment and 61.1% for the radiological assessment. CONCLUSION Using MRI techniques and sequence intervals and examining the histopathological characteristics of tumors may help increase the accuracy of the pathological complete response.
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Affiliation(s)
- Sevinc Dagıstanli
- Department of General Surgery, Kanuni Sultan Suleyman Research and Training Hospital, Istanbul, Turkey
| | - Suleyman Sonmez
- Department of Radiology, Kanuni Sultan Suleyman Research and Training Hospital, Istanbul, Turkey
| | - Nilufer Bulut
- Department of Medical Oncology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Ali Mertcan Kose
- Department of Computer Programming, Vocational School, Istanbul Ticaret University, Istanbul, Turkey
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Di Paola V, Mazzotta G, Pignatelli V, Bufi E, D’Angelo A, Conti M, Panico C, Fiorentino V, Pierconti F, Kilburn-Toppin F, Belli P, Manfredi R. Beyond N Staging in Breast Cancer: Importance of MRI and Ultrasound-based Imaging. Cancers (Basel) 2022; 14:cancers14174270. [PMID: 36077805 PMCID: PMC9454572 DOI: 10.3390/cancers14174270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 12/29/2022] Open
Abstract
The correct N-staging in breast cancer is crucial to tailor treatment and stratify the prognosis. N-staging is based on the number and the localization of suspicious regional nodes on physical examination and/or imaging. Since clinical examination of the axillary cavity is associated with a high false negative rate, imaging modalities play a central role. In the presence of a T1 or T2 tumor and 0–2 suspicious nodes, on imaging at the axillary level I or II, a patient should undergo sentinel lymph node biopsy (SLNB), whereas in the presence of three or more suspicious nodes at the axillary level I or II confirmed by biopsy, they should undergo axillary lymph node dissection (ALND) or neoadjuvant chemotherapy according to a multidisciplinary approach, as well as in the case of internal mammary, supraclavicular, or level III axillary involved lymph nodes. In this scenario, radiological assessment of lymph nodes at the time of diagnosis must be accurate. False positives may preclude a sentinel lymph node in an otherwise eligible woman; in contrast, false negatives may lead to an unnecessary SLNB and the need for a second surgical procedure. In this review, we aim to describe the anatomy of the axilla and breast regional lymph node, and their diagnostic features to discriminate between normal and pathological nodes at Ultrasound (US) and Magnetic Resonance Imaging (MRI). Moreover, the technical aspects, the advantage and limitations of MRI versus US, and the possible future perspectives are also analyzed, through the analysis of the recent literature.
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Affiliation(s)
- Valerio Di Paola
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Correspondence: or
| | - Giorgio Mazzotta
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenza Pignatelli
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Enida Bufi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Anna D’Angelo
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Marco Conti
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Camilla Panico
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenzo Fiorentino
- Institute of Pathology, Università Cattolica del S. Cuore, Fondazione Policlinico “A. Gemelli”, 00168 Rome, Italy
| | - Francesco Pierconti
- Institute of Pathology, Università Cattolica del S. Cuore, Fondazione Policlinico “A. Gemelli”, 00168 Rome, Italy
| | - Fleur Kilburn-Toppin
- Cambridge Breast Unit, Cambridge University Hospital NHS Foundation Trust, Addenbrookes’ Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Paolo Belli
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Riccardo Manfredi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
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de Mooij CM, Samiei S, Mitea C, Lobbes MBI, Kooreman LFS, Heuts EM, Beets-Tan RGH, van Nijnatten TJA, Smidt ML. Axillary lymph node response to neoadjuvant systemic therapy with dedicated axillary hybrid 18F-FDG PET/MRI in clinically node-positive breast cancer patients: a pilot study. Clin Radiol 2022; 77:e732-e740. [PMID: 35850866 DOI: 10.1016/j.crad.2022.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/07/2022] [Accepted: 06/20/2022] [Indexed: 11/26/2022]
Abstract
AIM To investigate the diagnostic performance of dedicated axillary hybrid 18F-2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/magnetic resonance imaging (MRI) in detecting axillary pathological complete response (pCR) following neoadjuvant systemic therapy (NST) in clinically node-positive breast cancer patients. MATERIALS AND METHODS Ten prospectively included clinically node-positive breast cancer patients underwent dedicated axillary hybrid 18F-FDG PET/MRI after completing NST followed by axillary surgery. PET images were reviewed by a nuclear medicine physician and coronal T1-weighted and T2-weighted MRI images by a radiologist. All axillary lymph nodes visible on PET/MRI were matched with those removed during axillary surgery. Diagnostic performance parameters were calculated based on patient-by-patient and node-by-node validation with histopathology of the axillary surgical specimen as the reference standard. RESULTS Six patients achieved axillary pCR at final histopathology. A total of 84 surgically harvested axillary lymph nodes were matched with axillary lymph nodes depicted on PET/MRI. Histopathological examination of the matched axillary lymph nodes resulted in 10 lymph nodes with residual axillary disease of which eight contained macrometastases and two micrometastases. The patient-by-patient analysis yielded a sensitivity, specificity, positive predictive value, and negative predictive value of 25%, 100%, 100%, and 67%, respectively. The diagnostic performance parameters of the node-by-node analysis were 0%, 96%, 0%, and 88%, respectively. Excluding micrometastases from the node-by-node analysis increased the negative predictive value to 90%. CONCLUSION This pilot study suggests that the negative predictive value and sensitivity of dedicated axillary 18F-FDG PET/MRI are insufficiently accurate to detect axillary pCR or exclude residual axillary disease following NST in clinically node-positive breast cancer patients.
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Affiliation(s)
- C M de Mooij
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Surgery, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
| | - S Samiei
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Surgery, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
| | - C Mitea
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
| | - M B I Lobbes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands; Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, the Netherlands
| | - L F S Kooreman
- GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands; Department of Pathology, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - E M Heuts
- Department of Surgery, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - R G H Beets-Tan
- GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands; Department of Radiology, Antoni van Leeuwenhoek/Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - T J A van Nijnatten
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
| | - M L Smidt
- Department of Surgery, Maastricht University Medical Center+, Maastricht, the Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
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