Faculty Bibliography

BACKGROUND:Screening MRI as an adjunct to mammography is recommended by the ACS for patients with a lifetime risk for breast cancer > 20%. While the benefits are clear, MRI screening is associated with an increase in false-positive results. The purpose of this study was to analyze our institutional database of high-risk patients and assess the uptake of screening MRI examinations and the results of those screenings. METHODS:Our institutional review board-approved High-Risk Breast Cancer Database was queried for patients enrolled from January 2017 to January 2023 who were at high risk for breast cancer in a comparative analysis between those who were screened versus not screened with MRIs. Variables of interest included risk factor, background, MRI screening uptake, and frequency and results of image-guided breast biopsies. RESULTS:A total of 254 of 1106 high-risk patients (23%) had MRI screening. Forty-six of 852 (5.3%) patients in the non-MRI-screened cohort and nine of 254 (3.5%) patients in the MRI-screened cohort were diagnosed with a malignant lesion after image-guided biopsy (p = 0.6). There was no significant difference between MRI and non-MRI guided biopsies in detecting breast cancer. All malignant lesions were T1 or in situ disease. The 254 patients in the MRI-screened group underwent 185 biopsies. Fifty-seven percent of MRI-guided biopsies yielded benign results. CONCLUSIONS:Although the addition of MRI screening in our high-risk cohort did not produce a significant number of additional cancer diagnoses, patients monitored in our high-risk cohort who developed breast cancer were diagnosed at very early stages of disease, underscoring the benefit of participation in the program.

Pathology reports are considered the gold standard in medical research due to their comprehensive and accurate diagnostic information. Natural language processing (NLP) techniques have been developed to automate information extraction from pathology reports. However, existing studies suffer from two significant limitations. First, they typically frame their tasks as report classification, which restricts the granularity of extracted information. Second, they often fail to generalize to unseen reports due to variations in language, negation, and human error. To overcome these challenges, we propose a BERT (bidirectional encoder representations from transformers) named entity recognition (NER) system to extract key diagnostic elements from pathology reports. We also introduce four data augmentation methods to improve the robustness of our model. Trained and evaluated on 1438 annotated breast pathology reports, acquired from a large medical center in the United States, our BERT model trained with data augmentation achieves an entity F1-score of 0.916 on an internal test set, surpassing the BERT baseline (0.843). We further assessed the model's generalizability using an external validation dataset from the United Arab Emirates, where our model maintained satisfactory performance (F1-score 0.860). Our findings demonstrate that our NER systems can effectively extract fine-grained information from widely diverse medical reports, offering the potential for large-scale information extraction in a wide range of medical and AI research. We publish our code at https://github.com/nyukat/pathology_extraction.

BACKGROUND:Most patients recur after resection of intrahepatic cholangiocarcinoma (IHC). We studied whether machine-learning incorporating radiomics and tumor size could predict intrahepatic recurrence within 1-year. METHODS:This was a retrospective analysis of patients with IHC resected between 2000 and 2017 who had evaluable computed tomography imaging. Texture features (TFs) were extracted from the liver, tumor, and future liver remnant (FLR). Random forest classification using training (70.3%) and validation cohorts (29.7%) was used to design a predictive model. RESULTS:138 patients were included for analysis. Patients with early recurrence had a larger tumor size (7.25 cm [IQR 5.2-8.9] vs. 5.3 cm [IQR 4.0-7.2], P = 0.011) and a higher rate of lymph node metastasis (28.6% vs. 11.6%, P = 0.041), but were not more likely to have multifocal disease (21.4% vs. 17.4%, P = 0.643). Three TFs from the tumor, FD1, FD30, and IH4 and one from the FLR, ACM15, were identified by feature selection. Incorporation of TFs and tumor size achieved the highest AUC of 0.84 (95% CI 0.73-0.95) in predicting recurrence in the validation cohort. CONCLUSION/CONCLUSIONS:This study demonstrates that radiomics and machine-learning can reliably predict patients at risk for early intrahepatic recurrence with good discrimination accuracy.

OBJECTIVE:We aimed to investigate eligibility for breast-conserving surgery (BCS) pre- and post-neoadjuvant systemic therapy (NST), and trends in the surgical treatment of young breast cancer patients. BACKGROUND:Young women with breast cancer are more likely to present with larger tumors and aggressive phenotypes, and may benefit from NST. Little is known about how response to NAC influences surgical decisions in young women. METHODS:The Young Women's Breast Cancer Study (YWS), a multicenter prospective cohort of women diagnosed with breast cancer at age ≤40, enrolled 1302 patients from 2006 to 2016. Disease characteristics, surgical recommendations, and reasons for choosing mastectomy among BCS-eligible patients were obtained through the medical record. Trends in use of NST, rate of clinical and pathologic complete response (cCR and pCR), and surgery were also assessed. RESULTS:Of 1117 women with unilateral stage I-III breast cancer, 315 (28%) received NST. Pre-NST, 26% were BCS eligible, 17% were borderline eligible, and 55% were ineligible. After NST, BCS eligibility increased from 26% to 42% (p < 0.0001). Among BCS-eligible patients after NST (n = 133), 41% chose mastectomy with reasons being patient preference (53%), BRCA or TP53 mutation (35%) and family history (5%). From 2006 to 2016, the rates of NST (p = 0.0012), cCR (p < 0.0001) and bilateral mastectomy (p < 0.0001) increased, but the rate of BCS did not increase (p = 0.34). CONCLUSION/CONCLUSIONS:While the proportion of young women eligible for BCS increased after NST, many patients choose mastectomy, suggesting that surgical decisions are often driven by factors beyond extent of disease and treatment response.

INTRODUCTION/UNASSIGNED:As breast cancer treatment options have multiplied and biologic diversity within breast cancer has been recognized, the use of the same treatment strategies for patients with early-stage and favorable disease, and for those with biologically aggressive disease, has been questioned. In addition, as patient-reported outcome measures have called attention to the morbidity of many common treatments, and as the cost of breast cancer care has continued to increase, reduction in the overtreatment of breast cancer has assumed increasing importance. AREAS COVERED/UNASSIGNED:Here we review selected aspects of surgery, radiation oncology, and medical oncology for which scientific evidence supports de-escalation for invasive carcinoma and ductal carcinoma in situ, and assess strategies to address overtreatment. EXPERT OPINION/UNASSIGNED:The problems of breast cancer overtreatment we face today are based on improved understanding of the biology of breast cancer and abandonment of the 'one-size-fits-all' approach. As breast cancer care becomes increasingly complex, and as our knowledge base continues to increase exponentially, these problems will only be magnified in the future. To continue progress, the move must be made from advocating the maximum-tolerated treatment to advocating the minimum-effective one.

PURPOSE/OBJECTIVE:Synchronous bilateral breast cancer is uncommon, and its pattern and incidence among younger women is unknown. Here we report the incidence, phenotypes, and long-term oncologic outcomes of bilateral breast cancer in women enrolled in the Young Women's Breast Cancer Study (YWS). METHODS:The YWS is a multi-center, prospective cohort study of women with breast cancer diagnosed at age ≤ 40 years. Those with synchronous bilateral breast cancer formed our study cohort. Tumor phenotypes were categorized as luminal A (hormone receptor (HR)+/HER2-/grade 1/2), luminal B (HR+ /HER2+ or HER2- and grade 3), HER2-enriched (HR-/HER2+), or basal-like (HR-/HER2-). Descriptive statistics were used to evaluate tumor phenotypes of bilateral cancers for concordance. RESULTS:Among 1302 patients enrolled in the YWS, 21 (1.6%) patients had synchronous bilateral disease. The median age of diagnosis was 38 years (range 18-40 years). Seventeen (81.0%) underwent genetic testing with 6 found to have pathogenic germline mutations in BRCA1, BRCA2, or TP53. The majority of patients (76.2%) underwent bilateral mastectomy. On pathology, 2 patients had bilateral in-situ disease, 6 had unilateral invasive and contralateral in-situ disease, and 13 had bilateral invasive disease. Of those with bilateral invasive disease, 10 (76.9%) had bilateral luminal tumors and, when fully characterized, 6 were of the same luminal subtype. Only 1 patient had bilateral basal-like breast cancer. At median follow-up of 8.2 years, 14 patients are alive with no recurrent disease. CONCLUSIONS:Bilateral breast cancer is uncommon among young women diagnosed with breast cancer at age ≤ 40. In our cohort, the majority of invasive tumors were of the luminal phenotype, though some differed by grade or HER2 status. These findings support the need for thorough pathologic workup of bilateral disease when it is found in young women with breast cancer to determine risk and tailor treatment.

BACKGROUND:Preoperative magnetic resonance imaging (MRI) utilization in breast cancer treatment has increased significantly over the past 2 decades, but its use continues to have interprovider variability and disputed clinical indications. OBJECTIVE:The aim of this study was to evaluate non-clinical factors associated with preoperative breast MRI utilization. METHODS:This study utilized TRICARE claims data from 2006 to 2015. TRICARE provides health benefits for active duty service members, retirees, and their dependents at both military (direct care with salaried physicians) and civilian (purchased care under fee-for-service structure) facilities. We studied patients aged 25-64 years with a breast cancer diagnosis who had undergone mammogram/ultrasound (MMG/US) alone or with subsequent breast MRI prior to surgery. Facility characteristics included urban-rural location according to the National Center for Health Statistics classification. Adjusted multivariable logistic regression tests were used to identify independent factors associated with preoperative breast MRI utilization. RESULTS:Of the 25,392 identified patients, 64.7% (n = 16,428) received preoperative MMG/US alone, while 35.3% (n = 8964) underwent additional MRI. Younger age, Charlson Comorbidity Index score ≥ 2, active duty or retired beneficiary category, officer rank (surrogate for socioeconomic status), Air Force service branch, metropolitan location, and purchased care were associated with an increased likelihood of preoperative MRI utilization. Non-metropolitan location and Navy service branch were associated with decreased MRI use. CONCLUSION/CONCLUSIONS:After controlling for expected clinical risk factors, patients were more likely to receive additional MRI when treated at metropolitan facilities or through the fee-for-service system. Both associations may point toward non-clinical incentives to perform MRI in the treatment of breast cancer.

BACKGROUND:In prior reports from population-based databases, black patients with extremity soft tissue sarcoma (ESTS) have lower reported rates of limb-sparing surgery and adjuvant treatment. The objective of this study was to compare the multimodality treatment of ESTS between black and white patients within a universally insured and equal-access health care system. METHODS:Claims data from TRICARE, the US Department of Defense insurance plan that provides health care coverage for 9 million active-duty personnel, retirees, and dependents, were queried for patients younger than 65 y with ESTS who underwent limb-sparing surgery or amputation between 2006 and 2014 and identified as black or white race. Multivariable logistic regression analysis was used to evaluate the impact of race on the utilization of surgery, chemotherapy, and radiation. RESULTS:Of the 719 patients included for analysis, 605 patients (84%) were white and 114 (16%) were black. Compared with whites, blacks had the same likelihood of receiving limb-sparing surgery (odds ratio [OR], 0.861; 95% confidence interval [95% CI], 0.284-2.611; P = 0.79), neoadjuvant radiation (OR, 1.177; 95% CI, 0.204-1.319; P = 0.34), and neoadjuvant (OR, 0.852; 95% CI, 0.554-1.311; P = 0.47) and adjuvant (OR, 1.211; 95% CI, 0.911-1.611; P = 0.19) chemotherapy; blacks more likely to receive adjuvant radiation (OR, 1.917; 95% CI, 1.162-3.162; P = 0.011). CONCLUSIONS:In a universally insured population, racial differences in the rates of limb-sparing surgery for ESTS are significantly mitigated compared with prior reports. Biologic or disease factors that could not be accounted for in this study may contribute to the increased use of adjuvant radiation among black patients.