Factors predictive of occult nipple‐areolar complex involvement in patients with carcinoma in situ of the breast

Hwang, Hyeo Seong; Park, Seho; Koo, Ja Seung; Park, Hyung Seok; Kim, Kyung Sik; Cho, Young Up; Park, Byeong Woo; Yoon, Jung Hyun; Kim, Min Jung

doi:10.1002/jso.24768

Cited by 10 publications

(6 citation statements)

References 36 publications

(58 reference statements)

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“…15-year breast cancer death rate 2. Life expectancy with and without therapy Physicians External [ 58 , 59 ] April 2009 CancerMath: Nipple involvement calculator [ 57 ] The risk of cancer in the nipple for assistance in deciding on nipple-sparing mastectomy Women diagnosed with early-stage breast cancer Nipple-sparing mastectomy Tumor size, tumor distance Probability of nipple involvement Physicians External [ 60 ] April 2009 Nottingham Prognostic Index [ 6 , 61 ] The 5-year overall survival which allows physicians to select those patients with an excellent prognosis after surgery alone, in whom adjuvant therapies are inappropriate Women diagnosed with invasive early-stage node negative breast cancer who have received surgery only and are inappropriate to receive adjuvant therapies Surgery Tumor size, lymph node stage, histological grade 1. 1 to 5-year overall survival 2.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, its output is only presented in text form and the other formats including curves, bar charts, pie charts, and pictograms are unavailable. Both ‘PREDICT’ [ 56 ] and ‘CancerMath, Therapy Calculator’ [ 57 ] have been externally validated in various populations [ [58] , [59] , [60] , [71] , [72] , [73] , [74] , [75] ]. A study performed by Karapanagiotis et al.…”

Section: Resultsmentioning

confidence: 99%

“…Hwang et al. [ 60 ] performed a validation study on this calculator in a Korean population and found relatively poor performance.…”

Section: Resultsmentioning

confidence: 99%

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A scoping review of interactive and personalized web-based clinical tools to support treatment decision making in breast cancer

et al. 2022

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The increasing attention on personalized breast cancer care has resulted in an explosion of new interactive, tailored, web-based clinical decision tools for guiding treatment decisions in clinical practice. The goal of this study was to review, compare, and discuss the clinical implications of current tools, and highlight future directions for tools aiming to improve personalized breast cancer care. We searched PubMed, Embase, PsychInfo, Cochrane Database of Systematic Reviews, Web of Science, and Scopus to identify web-based decision tools addressing breast cancer treatment decisions. There was a total of 17 articles associated with 21 unique tools supporting decisions related to surgery, radiation therapy, hormonal therapy, bisphosphonates, HER2-targeted therapy, and chemotherapy. The quality of the tools was assessed using the International Patient Decision Aid Standard instrument. Overall, the tools considered clinical (e.g., age) and tumor characteristics (e.g., grade) to provide personalized outcomes (e.g., survival) associated with various treatment options. Fewer tools provided the adverse effects of the selected treatment. Only one tool was field-tested with patients, and none were tested with healthcare providers. Future studies need to assess the feasibility, usability, acceptability, as well as the effects of personalized web-based decision tools on communication and decision making from the patient and clinician perspectives.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A scoping review of interactive and personalized web-based clinical tools to support treatment decision making in breast cancer

et al. 2022

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“…Published studies show larger CTS and smaller TND are always more likely to lead to NAC positive, but different tumors in imaging, especially when combined with carcinoma in situ components, show great differences [ 26 , 29 ]. However, there was no consistent conclusion in our study, which may be due to the underestimation of preoperative hollow needle aspiration in the diagnosis of CIS.…”

Section: Discussionmentioning

confidence: 99%

How to accurately preoperative screen nipple-sparing mastectomy candidate—a nomogram for predicting nipple-areola complex involvement risk in breast cancer patients

Xu¹,

Dai

Liu

et al. 2023

World J Surg Onc

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Background Nipple-sparing mastectomy (NSM) offers superior cosmetic outcomes and has been gaining wide acceptance. It has always been difficult to objectively quantify the risk of nipple-areola complex involvement (NACi). The goal was to develop a prediction model for clinical application. Methods Patients who had a total mastectomy (TM) between January 2016 and January 2020 at a single institute formed the development cohort (n = 578) and those who had NSM + immediate breast reconstruction (IBR) between January 2020 and January 2021 formed the validation cohort (n = 112). The prediction model was developed using univariate and multivariate logistic regression studies. Based on NACi risk variables identified in the development cohort, a nomogram was created and evaluated in the validation cohort. Meanwhile, stratified analysis was performed based on the model’s risk levels and was combined with intraoperative frozen pathology (IFP) to optimize the model. Results Tumor central location, clinical tumor size (CTS) > 4.0 cm, tumor-nipple distance (TND) ≤ 1.0 cm, clinical nodal status positive (cN +), and KI-67 ≥ 20% were revealed to be good predictive indicators for NACi. A nomogram based on these major clinicopathologic variables was employed to quantify preoperative NACi risk. The accuracy was verified internally and externally. The diagnostic accuracy of IFP was 92.9%, sensitivity was 64.3%, and specificity was 96.9% in the validation group. Stratified analysis was then performed based on model risk. The diagnostic accuracy rates of IFP and NACiPM in low-risk, intermediate-risk, and high-risk respectively were 96.0%, 93.3%, 83.9%, 61.3%, 66.7%, and 83.3%. Conclusion We created a visual nomogram to predict NACi risk in breast cancer patients. The NACiPM can be used to distinguish the low, intermediate, and high risk of NAC before surgery. Combined with IFP, we can develop a decision-making system for the implementation of NSM.

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“…25,27 Outros estudos atribuem o risco de maior acometimento em pacientes com mais de 50 anos. 29 Zhang et al 30 demonstraram, em revisão sistemática, que a idade apresentou efeito nulo, no que diz respeito ao acometimento tumoral.…”

Section: Acometimento Neoplásico Do Complexo Aréolo-papilarunclassified

Adenectomia mamária para o tratamento do câncer de mama inicial: importância da avaliação da margem retroareolar e da remoção dos ductos intrapapilares

Heinzen¹

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Factors predictive of occult nipple‐areolar complex involvement in patients with carcinoma in situ of the breast

Cited by 10 publications

References 36 publications

A scoping review of interactive and personalized web-based clinical tools to support treatment decision making in breast cancer

A scoping review of interactive and personalized web-based clinical tools to support treatment decision making in breast cancer

How to accurately preoperative screen nipple-sparing mastectomy candidate—a nomogram for predicting nipple-areola complex involvement risk in breast cancer patients

Adenectomia mamária para o tratamento do câncer de mama inicial: importância da avaliação da margem retroareolar e da remoção dos ductos intrapapilares

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