Through this editorial, we have attempted to provide an update on the changing scenario for breast cancer surgery in Iraq by describing giant steps toward the adoption of new treatments. One factor to consider is the general trend towards neoadjuvant chemotherapy (NACT) and breast-conserving surgery (BCS) in regions such as Kurdistan, which indicates a preference for these minimally invasive approaches. Additionally, new perspectives on multifocal breast cancer in Baghdad demonstrate that BCS can be effective, with local recurrence rates comparable to mastectomy. Radiotherapy, particularly hypofractionated three-dimensional conformal radiotherapy (3DCRT), has shown substantial benefits in local control and progression-free survival. The importance of timely surgical interventions is also emphasized; most Iraqi women who receive a mastectomy stress to go through surgical interventions within three months of diagnosis. All these are significant reasons for optimism with regard to attaining more exemplary outcomes in patients as well as good strides toward international best practices. Such steps show that Iraq is keen on incorporating advanced surgical techniques that ameliorate breast cancer management.

UNASSIGNED: Upper limb lymphedema is one of the most common adverse events related to surgery owing to the large gap between guideline implementation and the intended clinical outcomes. However, the monitoring of limb lymphedema remains challenging because of vague clinical presentations. This study aimed to develop and validate practical predictive models for upper limb lymphedema through machine learning.
UNASSIGNED: We retrospectively collected clinical data to develop models for early risk prediction of upper limb lymphedema based on a single-center electronic health record data from patients who underwent breast cancer surgery from June 2021 through June 2023. For prediction model building, 70% and 30% of the data were randomly split into training and testing sets, respectively. We then developed an upper limb lymphedema prediction model using machine learning algorithms, which included random forest model (RFM), generalized logistic regression model (GLRM), and artificial neural network model (ANNM). For evaluating the model\'s performance, we used the area under the receiver operating characteristic curve (AUROC), calibration curve to compare different models. The potential clinical usefulness of the best model at the best threshold was assessed through a net benefit approach using a decision curve analysis (DCA).
UNASSIGNED: Of the 3201 patients screened for eligibility, 3160 participants were recruited for the prediction model. Among these, Body Mass Index (BMI), hypertension, TNM, lesion site, level of lymph node dissection(LNMD), treatment, and nurse were independent risk factors for upper limb lymphedema and were listed as candidate variables of ML-based prediction models. The RFM algorithm, in combination with seven candidate variables, demonstrated the highest prediction efficiency in both the training and internal verification sets, with an area under the curve (AUC) of 0.894 and 0.889 and a 95% confidence interval (CI) of 0.839-0.949 and 0.834-0.944, respectively. The other two types of prediction models had prediction efficiencies between AUCs of 0.731 and 0.819 and 95% CIs of 0.674-0.789 and 0.762-0.876, respectively.
UNASSIGNED: The interpretable predictive model helps physicians more accurately predict the upper limb lymphedema risk in patients undergoing breast cancer surgery. Especially for the RFM, this newly established machine learning-based model has shown good predictive ability for distinguishing high risk of upper limb lymphedema, which could facilitate future clinical decisions, hospital management, and improve outcomes.

BACKGROUND: Sentinel lymph node biopsy reduces morbidity in patients with clinically node-positive breast cancer who achieve axillary pathologic complete response following neoadjuvant therapy (NACT). De-escalation trials primarily addressed cN1 disease, with underrepresentation of cN2 disease. This study evaluates the role of de-escalation in patients with cN2 breast cancer.
METHODS: A retrospective analysis of the National Cancer Database (2013-2020) included women over 18 with T1-2 invasive breast cancer and clinical N2 disease who received NACT followed by ALND or SLNB then ALND. The primary outcome was pathologic nodal status post-NACT.
RESULTS: Of 5852 cN2 patients treated, 18.15 ​% achieved ypN0, 0.97 ​% had isolated tumor cells, 19.14 ​% were ypN1, 49.64 ​% were ypN2, and 12.20 ​% were ypN3 following NACT. Achieving ypN0 was associated with pCR in the breast, HER2-positive and triple-negative receptor status, cT2 tumors, and younger age.
CONCLUSIONS: Despite some patients with cN2 disease achieving ypN0, most exhibited residual axillary disease post-NACT. These findings indicate that axillary de-escalation may not be feasible for most patients with cN2 disease, underscoring the importance of meticulous patient selection and assessment.

BACKGROUND: Post-operative nausea and vomiting remain an unresolved concern in Türkiye and some parts of the world, impacting the quality of the patient\'s recovery process and diminishing overall satisfaction.
OBJECTIVE: This study was conducted as a descriptive investigation to compare the incidence of nausea and vomiting following breast cancer surgery with the nausea and vomiting risk scores proposed by Apfel and Koivuranta.
METHODS: This study was conducted with 100 patients admitted to the General Surgery service of a university hospital between 31 August 2019 and 31 May 2021 for breast cancer surgery. The patient information form developed by the researchers, Apfel Nausea and Vomiting Risk Score, and Koivuranta Nausea and Vomiting Risk Score were used as data collection tools.
RESULTS: It was identified that 61% of the patients experienced nausea and vomiting within the initial 24 h following surgery. A significant correlation was found between age, post-operative opioid use, motion sickness or history of PONV, and nausea and vomiting (p < 0,05). The sensitivity of the Apfel score obtained was 80%, the specificity was 46%, and the AUC value was 0.686. The sensitivity of the Koivuranta score was 80%, the specificity was 35%, and the AUC value was 0.675 (p < 0.05).
CONCLUSIONS: It has been observed that patients experience high rates of nausea and vomiting after breast cancer surgery and that the Apfel and Koivuranta Risk Scores are equally applicable in predicting post-operative nausea and vomiting.

Invasive lobular breast cancer (ILC) presents unique challenges and considerations in the realm of surgical management. Characterized by its distinct histological features, including the loss of E-cadherin expression and dys-cohesive growth pattern, ILC often poses diagnostic and therapeutic dilemmas for clinicians. This abstract explores the surgical landscape of ILC, focusing on its epidemiology, clinical presentation, diagnostic modalities, and surgical interventions. Emphasizing the importance of individualized treatment strategies, this narrative delves into the nuances of surgical decision-making, including the role of breast-conserving surgery versus mastectomy, axillary staging, and the significance of margin status. Additionally, advancements in surgical techniques, such as oncoplastic approaches and sentinel lymph node biopsy, are examined in the context of optimizing oncologic outcomes and preserving cosmesis. Through a comprehensive review of current literature and clinical guidelines, this overview aims to provide a nuanced understanding of the surgical considerations inherent to the management of invasive lobular breast cancer.

OBJECTIVE: To use robust consensus methods with individuals with lived breast cancer experience to agree the top 10 research priorities to improve information and support for patients undergoing breast cancer surgery in the UK.
METHODS: Research uncertainties related to information and support for breast cancer surgery submitted by patients and carers were analysed thematically to generate summary questions for inclusion in an online Delphi survey. Individuals with lived breast cancer experience completed two Delphi rounds including feedback in which they selected their top 10 research priorities from the list provided. The most highly ranked priorities from the survey were discussed at an in-person prioritisation workshop at which the final top 10 was agreed.
RESULTS: The 543 uncertainties submitted by 156 patients/carers were categorised into 63 summary questions for inclusion in the Delphi survey. Of the 237 individuals completing Round 1, 190 (80.2%) participated in Round 2. The top 25 survey questions were carried forward for discussion at the in-person prioritisation workshop at which 17 participants from across the UK agreed the final top 10 research priorities. Key themes included ensuring patients were fully informed about all treatment options and given balanced, tailored information to support informed decision-making and empower their recovery. Equity of access to treatments including contralateral mastectomy for symmetry was also considered a research priority.
CONCLUSIONS: This process has identified the top 10 research priorities to improve information and support for patients undergoing breast cancer surgery. Work is now needed to develop studies to address these important questions.

OBJECTIVE: This study aimed to determine the effects of video-assisted education given before breast cancer surgery on patients\' anxiety and comfort.
METHODS: A nonrandomized, controlled, quasi-experimental model was used.
METHODS: The study was conducted in the general surgery clinic of a public hospital. Seventy patients voluntarily participated in the study, 35 of them were in the Control (CG) and 35 of them were in the Experimental Group (EG). While routine treatment and care were given to CG, a video-assisted education was also provided to EG. The data were collected using the Personal Information Form, State-Trait Anxiety Inventory (STAI), and General Comfort Questionnaire (GCQ). The patients in both groups filled in the STAI and GCQ on the first day preoperatively, STAI-S and GCS on the second postoperative day and STAI-S on the tenth day after surgery. P < .05 was accepted as a statistical significance value.
RESULTS: The groups were similar in terms of descriptive features and preoperative anxiety scores (P > .05). Postoperative second and tenth-day anxiety scores were significantly higher in CG (43.97 ± 9.42 and 39.45 ± 3.88) compared to EG (33.29 ± 4.94 and 33.31 ± 3.01) (P < .05). In terms of the mean scores of the GCQ and its subscales of comfort, preoperative comfort was found to be lower than postoperative comfort level (P < .05).
CONCLUSIONS: Preoperative video-assisted education decreased the anxiety level and increased the comfort level in EG. We conclude that the use of video-assisted education in reducing anxiety and increasing the perception of comfort in breast cancer surgery patients would be beneficial.

Invasive lobular cancer (ILC) is the most common of the breast cancer special types, accounting for up to 15% of all breast malignancies. The distinctive biological features of ILC include the loss of the cell adhesion molecule E-cadherin, which drives the tumor\'s peculiar discohesive growth pattern, with cells arranged in single file and dispersed throughout the stroma. Typically, such tumors originate in the lobules, are more commonly bilateral compared to invasive ductal cancer (IDC) and require a more accurate diagnostic examination through imaging. They are luminal in molecular subtype, and exhibit estrogen and progesterone receptor positivity and HER2 negativity, thus presenting a more unpredictable response to neoadjuvant therapies. There has been a significant increase in research focused on this distinctive breast cancer subtype, including studies on its pathology, its clinical and surgical management, and the high-resolution definition of its genomic profile, as well as the development of new therapeutic perspectives. This review will summarize the heterogeneous pattern of this unique disease, focusing on challenges in its comprehensive clinical management and on future insights and research objectives.

BACKGROUND: A history of severe nausea and vomiting during pregnancy (SNVP) is a risk factor for postoperative nausea and vomiting (PONV). This study aimed to explore potentially effective treatment strategies and potential genetic factors underlying SNVP risk-related PONV.
METHODS: A total of 140 female patients undergoing breast cancer surgery were assigned to either the study group (70 with SNVP) or the control group (70 with mild to moderate nausea and vomiting during pregnancy (MNVP)). Patients in each group were randomly assigned to two different treatment subgroups and received either ondansetron plus dexamethasone (OD) or OD + TEAS (ODT) (transcutaneous electrical acupoint stimulation, TEAS). Blood samples were collected from patients before induction (D0) and 24 h (D1) after surgery for growth differentiation factor 15 (GDF-15) evaluation. The primary outcome was the incidence of PONV within 36 h. The secondary outcome was the serum GDF-15 level.
RESULTS: The incidence of PONV in the SNVP group was significantly higher than that in the MNVP group within 24 h (P < 0.005). In the SNVP group, ODT-treated patients had less PONV than those in the OD-treated group during the 6-12 h (P = 0.033) and 12-24 h (P = 0.008) intervals, while within 6 h, there were fewer vomiting cases in the ODT-treated group (SNVP-ODT vs. SNVP-OD, 7/33 vs. 19/35, P = 0.005). The preoperative GDF-15 serum levels in patients with SNVP were significantly higher (P = 0.004). Moreover, higher preoperative GDF-15 serum levels correlated with a higher incidence of PONV (P = 0.043).
CONCLUSIONS: TEAS showed significant effect on PONV treatment in patients with SNVP. A higher serum GDF-15 level was associated with a history of SNVP, as well as a higher risk of PONV.

Lymph node (LN) status is an essential prognostic factor in breast cancer (BC) patients, with an important role in the surgical and therapeutic plan. Recently, we have been developed a novel system for real-time intra-operative electrical LN scanning in BC patients. The ELS scores were calibrated by pathological evaluation of the LNs. Herein, we evaluated the efficacy of ELS in a prospective study for non-chemo-treated breast cancer patients. This is a prospective study in which ELS scores are blind for pathologists who declare the clearance or involvement of LNs based on permanent pathology as the gold standard. ELS and frozen-section (FS) pathology results were achieved intra-operatively, and samples were sent for the permanent pathology. The score of ELS did not affect the surgeons\' decision, and the treatment approach was carried out based on FS pathology and pre-surgical data, such as imaging and probable biopsies. Patients were recruited from October 2021 through November 2022, and 381 lymph nodes of 97 patients were included in the study. In this study we recruited 38 patients (39.2%) with sentinel lymph node biopsy (SLNB) and 59 patients (60.8%) with ALND. Of the 381 LNs scored by ELS, 329 sentinel LNs underwent routine pathology, while others (n = 52) underwent both FS and permanent pathology. ELS showed a sensitivity of 91.4% for node-positive patients, decreasing to 84.8% when considering all LNs. Using ROC analysis, ELS diagnosis showed a significant AUC of 0.878 in relation to the permanent pathology gold standard. Comparison of ELS diagnosis for different tumor types and LN sizes demonstrated no significant differences, while increasing LN size correlated with enhanced ELS sensitivity. This study confirmed ELS\'s efficacy in real-time lymph node detection among non-chemo-treated breast cancer patients. The use of ELS\'s pathological scoring for intra-operative LN diagnosis, especially in the absence of FS pathology or for non-sentinel LN involvement, could improve prognosis and reduce complications by minimizing unnecessary dissection.