ReviewCancers2023
Surgical Planning after Neoadjuvant Treatment in Breast Cancer: A Multimodality Imaging-Based Approach Focused on MRI.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Evolving Concepts and Contemporary Management of Early-Stage Breast Cancer: An Evidence-Based Approach to Grey Zones from a Comprehensive Breast Unit Part 1: Locoregional Therapy, Pathology, Radiology.European journal of breast health · 2026Article
- Extent of resection in breast conserving surgery after neoadjuvant chemotherapy: a literature review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026Review
- Response-Adapted Oncologic Surgery in Cutaneous Squamous Cell Carcinoma: A Paradigm Shift Following Neoadjuvant Immunotherapy.Annals of surgical oncology · 2025Article
- Sonographic localisation of lymph nodes suspicious of metastatic breast cancer to surgical axillary levels.Journal of medical radiation sciences · 2025Review
- Serum metabolomic profiling for predicting therapeutic response and toxicity in breast cancer neoadjuvant chemotherapy: a retrospective longitudinal study.Breast cancer research : BCR · 2025Article
- Performance of MRI for standardized lymph nodes assessment in breast cancer: are we ready for Node-RADS?European radiology · 2024Article
- Non-Invasive 3D Breast Tumor Localization: A Viable Alternative to Invasive Tumor Marking.Cancers · 2024Article
- The Neoadjuvant Approach to Treatment of Breast Cancer: Multidisciplinary Management to Improve Outcomes.Surgical oncology insight · 2024Article
- Advancements in Solid Lipid Nanoparticles and Nanostructured Lipid Carriers for Breast Cancer Therapy.Current pharmaceutical design · 2024Review
- Breast and axillary marking in the neoadjuvant setting: survey results from experts of the Brazilian society of mastology.Frontiers in oncology · 2024Article
- Diagnostics and Therapeutics in Early Stage Breast Cancer Receiving Neoadjuvant Systemic Therapy.Cancers · 2023Article
- Conservative Surgery in cT4 Breast Cancer: Single-Center Experience in the Neoadjuvant Setting.Cancers · 2023Article
- Gramado consensus on imaging evaluation of the response to neoadjuvant systemic therapy for breast cancer.Radiologia brasileiraReview
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neoadjuvant chemotherapy (NACT) today represents a cornerstone in the treatment of locally advanced breast cancer and highly chemo-sensitive tumors at early stages, increasing the possibilities of performing more conservative treatments and improving long term outcomes. Imaging has a fundamental role in the staging and prediction of the response to NACT, thus aiding surgical planning and avoiding overtreatment. In this review, we first examine and compare the role of conventional and advanced imaging techniques in preoperative T Staging after NACT and in the evaluation of lymph node involvement. In the second part, we analyze the different surgical approaches, discussing the role of axillary surgery, as well as the possibility of non-operative management after-NACT, which has been the subject of recent trials. Finally, we focus on emerging techniques that will change the diagnostic assessment of breast cancer in the near future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.