1
|
Luo H, Zhao S, Yang W, Chen Z, Li Y, Zhou P. Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI. Sci Rep 2024; 14:17396. [PMID: 39075278 PMCID: PMC11286762 DOI: 10.1038/s41598-024-68601-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 07/25/2024] [Indexed: 07/31/2024] Open
Abstract
Preoperatively predicting extensive intraductal component in invasive breast cancer through imaging is crucial for informed decision-making, guiding surgical planning to mitigate risks of incomplete resection or re-operation for positive margins in breast-conserving surgery. This study aimed to characterize intra- and peri-tumor heterogeneity using high-spatial resolution ultrafast DCE-MRI to predict the extensive intraductal component in invasive breast cancer (IBC-EIC) preoperatively. A retrospective analysis included invasive breast cancer patients who underwent preoperative high-spatial resolution ultrafast DCE-MRI, categorized based on intraductal component status (IBC-EIC vs. IBC without EIC). Propensity score matching (PSM) was employed to balance clinicopathological covariates between the groups. Personalized kinetic intra-tumor heterogeneity (ITHkinetic) and peri-tumor heterogeneity (PTHkinetic) scores were quantified using clustered voxels with similar enhancement patterns. An image combined model, incorporating MRI features, ITHkinetic, and PTHkinetic scores, was developed and assessed. Of 368 patients, 26.4% (97/368) had IBC-EIC. PSM yielded well-matched pairs of 97 patients each. After PSM, ITHkinetic and PTHkinetic scores were significantly higher in the IBC-EIC group (ITHkinetic: 0.68 ± 0.23; PTHkinetic: 0.58 ± 0.19) compared to IBC without EIC (ITHkinetic: 0.32 ± 0.25; PTHkinetic: 0.42 ± 0.18; p < 0.001). Before PSM, ITHkinetic (0.71 ± 0.20 vs. 0.49 ± 0.28, p < 0.001) and PTHkinetic (0.61 ± 0.18 vs. 0.50 ± 0.20, p < 0.001) scores remained higher in the IBC-EIC group. The Image Combined Model demonstrated good predictive performance for IBC-EIC, with an AUC of 0.91 (95% CI 0.86-0.95) after PSM and 0.85 (95% CI 0.81-0.90) before PSM. Inclusion of ITHkinetic and PTHkinetic scores significantly improved prediction capability. ITHkinetic and PTHkinetic characterization from high-spatial resolution ultrafast DCE-MRI kinetic curves enhances preoperative prediction of IBC-EIC, offering valuable insights for personalized breast cancer management.
Collapse
Affiliation(s)
- Hongbing Luo
- Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren-min Road, Chengdu, 610041, China.
- College of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Shixuan Zhao
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenlong Yang
- College of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhe Chen
- Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren-min Road, Chengdu, 610041, China
| | - Yongjie Li
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Peng Zhou
- Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren-min Road, Chengdu, 610041, China
| |
Collapse
|
2
|
MacCallum C, Elder K, Nickson C, Ruecker K, Park A, Mann GB, Rose AK. Contrast-Enhanced Mammography in Local Staging of Screen-Detected Breast Cancer. Ann Surg Oncol 2024:10.1245/s10434-024-15848-y. [PMID: 39048901 DOI: 10.1245/s10434-024-15848-y] [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: 02/26/2024] [Accepted: 07/02/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND BreastScreen Australia, the population mammographic screening program for breast cancer, uses two-view digital screening mammography ± ultrasound followed by percutaneous biopsy to detect breast cancer. Secondary breast imaging for further local staging, not performed at BreastScreen, may identify additional clinically significant breast lesions. Staging options include further mammography, bilateral ultrasound, and/or contrast-based imaging (CBI) [magnetic resonance imaging (MRI) or contrast-enhanced mammography (CEM)]. CBI for local staging of screen-detected cancer was introduced at an academic hospital breast service in Melbourne, VIC, Australia. We report findings for otherwise occult disease and resulting treatment changes. MATERIAL AND METHODS Patients staged using CEM between November 2018 and April 2022 were identified from hospital records. Data were extracted from radiology, pathology, and breast unit databases. CEM-detected abnormalities were documented as true positive (TP) for invasive cancer or ductal carcinoma in situ (DCIS), or otherwise false positive (FP). The impact on surgical decisions was assessed. RESULTS Of 202 patients aged 44-84 years, 60 (30%) had 74 additional findings [34 (46%) TP, 40 (54%) FP]. These were malignant in 29/202 (14%) patients (79% invasive cancers, 21% DCIS). CEM resulted in surgical changes in 43/202 (21%) patients: wider resection (24/43), conversion to mastectomy (6/43), contralateral breast surgery (6/43), additional ipsilateral excision (5/43), and bracketing (2/43). Additional findings were more common for patients with larger index lesions and for invasive cancer, but there was no significant variation by age, breast density, or index lesion grade. CONCLUSIONS CEM for local staging of screen-detected breast cancers identified occult malignancy in 14% of patients. CEM improves local staging and may facilitate appropriate management of screen-detected breast cancers.
Collapse
Affiliation(s)
| | - Kenneth Elder
- The Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia
| | - Carolyn Nickson
- Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council New South Wales, Sydney, NSW, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Melbourne, VIC, Australia
| | - Kelly Ruecker
- The Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia
| | - Allan Park
- The Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia
| | - G Bruce Mann
- The Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia.
- The Royal Women's Hospital, Parkville, Melbourne, VIC, Australia.
- Department of Surgery, The University of Melbourne, Parkville, Melbourne, VIC, Australia.
| | - Allison K Rose
- The Royal Women's Hospital, Parkville, Melbourne, VIC, Australia
| |
Collapse
|
3
|
Cil T, Boileau JF, Chia S, DeCoteau MJ, Jerzak KJ, Koch A, Nixon N, Quan ML, Roberts A, Brezden-Masley C. The Canadian Breast Cancer Symposium 2023 Meeting Report. Curr Oncol 2024; 31:1774-1802. [PMID: 38668038 PMCID: PMC11049169 DOI: 10.3390/curroncol31040135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/01/2024] [Accepted: 03/08/2024] [Indexed: 04/28/2024] Open
Abstract
On 15-16 June 2023, healthcare professionals and breast cancer patients and advocates from across Canada met in Toronto, Ontario, for the 2023 Canadian Breast Cancer Symposium (CBSC.). The CBSC. is a national, multidisciplinary event that occurs every 2 years with the goal of developing a personalized approach to the management of breast cancer in Canada. Experts provided state-of-the-art information to help optimally manage breast cancer patients, including etiology, prevention, diagnosis, experimental biology, and therapy of breast cancer and premalignant breast disease. The symposium also had the objectives of increasing communication and collaboration among breast cancer healthcare providers nationwide and providing a comprehensive and real-life review of the many facets of breast cancer. The sessions covered the patient voice, the top breast cancer papers from different disciplines in 2022, artificial intelligence in breast cancer, systemic therapy updates, the management of central nervous system metastases, multidisciplinary management of ductal carcinoma in situ, special populations, optimization-based individual prognostic factors, toxicity management of novel therapeutics, survivorship, and updates in surgical oncology. The key takeaways of these sessions have been summarized in this conference report.
Collapse
Affiliation(s)
- Tulin Cil
- Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; (T.C.); (A.K.)
| | | | - Stephen Chia
- British Columbia Cancer Centre, University of British Columbia, Vancouver, BC V5Z 4E6, Canada;
| | - MJ DeCoteau
- Rethink Breast Cancer, Toronto, ON M4M 3G3, Canada;
| | - Katarzyna J. Jerzak
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON M4N 3M5, Canada; (K.J.J.); (A.R.)
| | - Anne Koch
- Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; (T.C.); (A.K.)
| | - Nancy Nixon
- Department of Surgery and Oncology, University of Calgary, Calgary, AB T2N 4Z6, Canada; (N.N.); (M.L.Q.)
| | - May Lynn Quan
- Department of Surgery and Oncology, University of Calgary, Calgary, AB T2N 4Z6, Canada; (N.N.); (M.L.Q.)
| | - Amanda Roberts
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON M4N 3M5, Canada; (K.J.J.); (A.R.)
| | | |
Collapse
|
4
|
You C, Shen Y, Sun S, Zhou J, Li J, Su G, Michalopoulou E, Peng W, Gu Y, Guo W, Cao H. Artificial intelligence in breast imaging: Current situation and clinical challenges. EXPLORATION (BEIJING, CHINA) 2023; 3:20230007. [PMID: 37933287 PMCID: PMC10582610 DOI: 10.1002/exp.20230007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/30/2023] [Indexed: 11/08/2023]
Abstract
Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer-related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast cancer makes it necessary to deeply mine and rationally utilize the tremendous amount of breast imaging information. With the rapid advancement of computer science, artificial intelligence (AI) has been noted to have great advantages in processing and mining of image information. Therefore, a growing number of scholars have started to focus on and research the utility of AI in breast imaging. Here, an overview of breast imaging databases and recent advances in AI research are provided, the challenges and problems in this field are discussed, and then constructive advice is further provided for ongoing scientific developments from the perspective of the National Natural Science Foundation of China.
Collapse
Affiliation(s)
- Chao You
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yiyuan Shen
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Shiyun Sun
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jiayin Zhou
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jiawei Li
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Guanhua Su
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Department of Breast SurgeryKey Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | | | - Weijun Peng
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yajia Gu
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Weisheng Guo
- Department of Minimally Invasive Interventional RadiologyKey Laboratory of Molecular Target and Clinical PharmacologySchool of Pharmaceutical Sciences and The Second Affiliated HospitalGuangzhou Medical UniversityGuangzhouChina
| | - Heqi Cao
- Department of Health SciencesNational Natural Science Foundation of ChinaBeijingChina
| |
Collapse
|
5
|
Taylor DB, Hobbs MM, Ronald MM, Burrows S, Ives A, Parizel PM, Saunders CM. Interpreting contrast imaging to plan breast surgery. ANZ J Surg 2023; 93:2197-2202. [PMID: 37438677 DOI: 10.1111/ans.18583] [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: 01/18/2023] [Revised: 06/20/2023] [Accepted: 06/22/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Contrast enhanced mammography (CEM) and magnetic resonance imaging (MRI) are more accurate than conventional imaging (CI) for breast cancer staging. How adding CEM and MRI to CI might change the surgical plan is understudied. METHODS Surgical plans (breast conserving surgery (BCS), wider BCS, BCS with diagnostic excision (>1BCS), mastectomy) were devised by mock-MDT (radiologist, surgeon and pathology reports) according to disease extent on CI, CI + CEM and CI + MRI. Differences in the mock-MDT's surgical plans following the addition of CEM or MRI were investigated. Using pre-defined criteria, the appropriateness of the modified plans was assessed by comparing estimated disease extent on imaging with final pathology. Surgery performed was recorded from patient records. RESULTS Contrast imaging modified mock-MDT plans for 20 of 61(32.8%) breasts. The addition of CEM changed the plan in 16/20 (80%) and MRI in 17/20 breasts (85%). Identical changes were proposed by both CEM and MRI in 13/20 (65%) breasts. The modified surgical plan based on CI + CEM was possibly appropriate for 6/16 (37.5%), and CI + MRI in 9/17, (52.9%) breasts. The surgery performed was concordant with the mock-MDT plan for all 10 patients where the plans could be compared (BCS 1, >1 BCS 2 and mastectomy 7). CONCLUSION Adding CEM or MRI to CI changed mock-MDT plans in up to one third of women, but not all were appropriate. Changing surgical plans following addition of contrast imaging to CI without biopsy confirmation could lead to over or under-treatment.
Collapse
Affiliation(s)
- Donna B Taylor
- Department of Diagnostic and Interventional Radiology, Royal Perth Hospital, Perth, Western Australia, Australia
- Medical School, University of Western Australia, Perth, Western Australia, Australia
- BreastScreen WA, Perth, Western Australia, Australia
| | - Max M Hobbs
- Department of Diagnostic and Interventional Radiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Maxine Mariri Ronald
- Department of Surgery, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Sally Burrows
- Medical School, University of Western Australia, Perth, Western Australia, Australia
- Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
| | - Angela Ives
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Paul M Parizel
- Department of Diagnostic and Interventional Radiology, Royal Perth Hospital, Perth, Western Australia, Australia
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Christobel M Saunders
- Medical School, University of Western Australia, Perth, Western Australia, Australia
- Department of Surgery, Royal Perth Hospital, Perth, Western Australia, Australia
| |
Collapse
|
6
|
Kuhl CK. What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer. Radiology 2023; 306:e223338. [PMID: 36802999 DOI: 10.1148/radiol.223338] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Affiliation(s)
- Christiane K Kuhl
- From the Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Pauwelsstr 30, 52074 Aachen, RWTH, Germany
| |
Collapse
|
7
|
Kim SY, Cho N. Breast Magnetic Resonance Imaging for Patients With Newly Diagnosed Breast Cancer: A Review. J Breast Cancer 2022; 25:263-277. [PMID: 36031752 PMCID: PMC9411024 DOI: 10.4048/jbc.2022.25.e35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/13/2022] [Accepted: 07/25/2022] [Indexed: 11/30/2022] Open
Abstract
Despite the high sensitivity and widespread use of preoperative magnetic resonance imaging (MRI), the American Cancer Society and the National Comprehensive Cancer Network guidelines do not recommend the routine use of preoperative MRI owing to the conflicting results and lack of clear benefit to the surgical outcome (reoperation and mastectomy) and long-term clinical outcomes (local recurrence and metachronous contralateral breast cancer). Preoperative MRI detects additional cancers that are occult at mammography and ultrasound but increases the rate of mastectomy. Concerns about overdiagnosis and overtreatment of preoperative MRI might be mitigated by adjusting the confounding factors when conducting studies, using the state-of-the-art image-guided biopsy technique, applying the radiologists’ cumulative experiences in interpreting MRI findings, and performing multiple lumpectomies in patients with multicentric cancer. Among the various imaging methods, dynamic contrast-enhanced MRI has the highest accuracy in predicting pathologic complete response after neoadjuvant chemotherapy. Prospective trials aimed at applying the MRI information to the de-escalation of surgical or radiation treatments are underway. In this review, current studies on the clinical outcomes of preoperative breast MRI are updated, and circumstances in which MRI may be useful for surgical planning are discussed.
Collapse
Affiliation(s)
- Soo-Yeon Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Nariya Cho
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
| |
Collapse
|
8
|
Nakhlis F, Portnow L, Gombos E, Daylan AEC, Leone JP, Kantor O, Richardson ET, Ho A, Dunn SA, Ohri N. Multidisciplinary Considerations in the Management of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. Curr Probl Surg 2022; 59:101191. [DOI: 10.1016/j.cpsurg.2022.101191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
9
|
Management of the axilla in T1-2N1 breast cancer. NPJ Breast Cancer 2022; 8:69. [PMID: 35637226 PMCID: PMC9151923 DOI: 10.1038/s41523-022-00432-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 04/22/2022] [Indexed: 11/08/2022] Open
|
10
|
Bitencourt A, Iima M, Langs G, Pinker K. Editorial: Impact of Breast MRI on Breast Cancer Treatment and Prognosis. Front Oncol 2022; 12:825101. [PMID: 35359360 PMCID: PMC8963269 DOI: 10.3389/fonc.2022.825101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/14/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Almir Bitencourt
- Imaging Department, A.C.Camargo Cancer Center, São Paulo, Brazil
- Breast Imaging Section, DASA, São Paulo, Brazil
- *Correspondence: Almir Bitencourt,
| | - Mami Iima
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, Japan
| | - Georg Langs
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Katja Pinker
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| |
Collapse
|
11
|
Xu H, Liu J, Chen Z, Wang C, Liu Y, Wang M, Zhou P, Luo H, Ren J. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer. Eur Radiol 2022; 32:4845-4856. [DOI: 10.1007/s00330-022-08539-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 12/01/2021] [Accepted: 12/22/2021] [Indexed: 12/11/2022]
|
12
|
Simpson D, Allan J, McFall B. Radiological Underestimation of Tumor Size Influences the Success Rate of Re-Excision after Breast-conserving Surgery. Eur J Breast Health 2021; 17:363-370. [PMID: 34651116 DOI: 10.4274/ejbh.galenos.2021.2021-4-7] [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: 04/14/2021] [Accepted: 07/04/2021] [Indexed: 12/01/2022]
Abstract
Objective Failure to achieve adequate margins after breast-conserving surgery often leads to re-excision, either by repeat breast-conserving surgery (BCS) or by mastectomy. Despite the high frequency of this problem, the success rate of achieving adequate margins by repeat BCS is not well documented. The objective of this study was to determine the success rate of repeat BCS and identify the factors influencing that rate. Materials and Methods A retrospective review was performed of all women undergoing repeat BCS for inadequate margins after initial BCS in our breast unit between 2013 and 2019. Univariate and multivariate analyses were carried out to identify the factors influencing how often adequate margins were achieved after repeat BCS. Results One hundred fifty-four patients underwent repeat BCS after initially inadequate margins, of which adequate margins were achieved in 82%. Patients with successful repeat BCS had smaller tumors, had less underestimation of tumor size on imaging, and were less likely to have had cavity shaves taken at their initial BCS. A tumor size more than 50% larger than predicted by imaging was independently associated with failure of repeat BCS in multivariate analysis (odds ratio: 3.6, 95% CI: 1.41-9.20, p = 0.007). Underestimation of tumor size by imaging was commoner and more extensive in patients with larger tumors and those with ductal carcinoma in situ. Conclusion Re-excision by cavity shaves has a high success rate and should be offered to all patients who are deemed suitable for the procedure. Patients whose tumors are more than 50% larger than predicted by imaging should be counseled about the higher risk of failure.
Collapse
Affiliation(s)
- Duncan Simpson
- Breast Unit, Antrim Area Hospital, Bush Road, Antrim, Northern Ireland, United Kingdom
| | - Jennifer Allan
- Breast Unit, Antrim Area Hospital, Bush Road, Antrim, Northern Ireland, United Kingdom
| | - Brendan McFall
- Breast Unit, Antrim Area Hospital, Bush Road, Antrim, Northern Ireland, United Kingdom
| |
Collapse
|
13
|
Gillies R, Kwok H. The selective use of preoperative MRI in the staging of breast cancer: a single-institution experience. J Med Imaging Radiat Oncol 2021; 66:14-24. [PMID: 34159733 DOI: 10.1111/1754-9485.13268] [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: 04/07/2021] [Accepted: 05/31/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Routine use of preoperative breast magnetic resonance imaging (MRI) for loco-regional staging of breast cancer remains controversial. At Counties Manukau District Health Board (CMDHB), preoperative breast MRI is used selectively within a multidisciplinary setting. The purpose of this study is to determine the accuracy of selective use of preoperative MRI in staging loco-regional disease and how it has impacted our clinical practice. METHODS Patients who received preoperative MRI at CMDHB between October 2015 and October 2018 were identified on a prospective database. The decision to offer MRI was made by multidisciplinary consensus. Patient data were collected retrospectively from clinical, imaging and histology records. The accuracy of MRI was determined by comparing it against histology as gold standard, and its potential contribution to treatment decisions and treatment delay was determined by clinical record review. RESULTS Ninety-two patients received preoperative MRI. Additional foci of cancer were identified in ten patients (11%). Sixteen patients (17%) required additional biopsies. In fourteen patients (15%), MRI identified more extensive disease than conventional imaging prompting a change of surgical management. This 'upstaging' was confirmed histologically in twelve (13%). In one (1%) patient, MRI incorrectly 'downstaged' disease, but it did not alter the management. No patients experienced a delay in treatment due to MRI. CONCLUSION A selective, considered use of preoperative MRI within a multidisciplinary setting at our local institution results in more biopsies but with an acceptable risk-benefit ratio. It provides accurate staging to aid treatment decisions without resulting in a delay in treatment.
Collapse
Affiliation(s)
- Rohana Gillies
- Department of Radiology, Counties Manukau District Health Board, Auckland, New Zealand
| | - Henry Kwok
- Department of Radiology, Counties Manukau District Health Board, Auckland, New Zealand.,Breast Screen Counties Manukau, Auckland, New Zealand
| |
Collapse
|
14
|
Multidetector Computed Tomography with Dedicated Protocol for Breast Cancer Locoregional Staging: Feasibility Study. Diagnostics (Basel) 2020; 10:diagnostics10070479. [PMID: 32674511 PMCID: PMC7400518 DOI: 10.3390/diagnostics10070479] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 06/22/2020] [Accepted: 06/29/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The aim of this study was to demonstrate the feasibility of performing multidetector computed tomography (MDCT) with a dedicated protocol for locoregional staging in breast cancer patients. METHODS This prospective single-center study included newly diagnosed breast cancer patients submitted to contrast-enhanced chest MDCT and breast magnetic resonance imaging (MRI). MDCT was performed in prone position and using subtraction techniques. Fleiss' Kappa coefficient (K) and intraclass correlation coefficient (ICC) were used to assess agreement between MRI, MDCT, and pathology, when available. RESULTS Thirty-three patients were included (mean age: 47 years). Breast MRI and MDCT showed at least substantial agreement for evaluation of tumor extension (k = 0.674), presence of multifocality (k = 0.669), multicentricity (k = 0.857), nipple invasion (k = 1.000), skin invasion (k = 0.872), and suspicious level I axillary lymph nodes (k = 0.613). MDCT showed higher number of suspicious axillary lymph nodes than MRI, especially on levels II and III. Both methods had similar correlation with tumor size (MRI ICC: 0.807; p = 0.008 vs. MDCT ICC: 0.750; p = 0.020) and T staging (k = 0.699) on pathology. CONCLUSIONS MDCT with dedicated breast protocol is feasible and showed substantial agreement with MRI features in stage II or III breast cancer patients. This method could potentially allow one-step locoregional and systemic staging, reducing costs and improving logistics for these patients.
Collapse
|