Faculty Bibliography

OBJECTIVES/OBJECTIVE:Background parenchymal enhancement (BPE) and mammographic density (MD) are imaging biomarkers derived from contrast-enhanced mammography (CEM). However, unlike MD, the consistency of BPE across consecutive examinations in pre- and postmenopausal women has remained unexplored. MATERIALS AND METHODS/METHODS:A computational search was conducted for all screening CEM exams performed at our facility between December-2012 and January-2024 to identify patients with at least five consecutive negative annual screenings. BPE grades and MD categories were extracted from the official radiology reports, and their variability parameters were statistically compared both between these factors and across age groups. RESULTS:Forty-five eligible patients at premenopausal age-group were identified (mean age at first scan 38.2 ± 3.4 years, range: 27-42) and a matched postmenopausal age-group was assembled (mean age at first scan 63.7 ± 3.8 years, range: 60-74), resulting in 450 CEMs analyzed. BPE demonstrated greater variability than MD, including fluctuations of at least one category on the scale (71.1-91.1 %), two-category changes (17.8-22.2 %), and transitions between low and high binary categories (17.8-27.7 %) (P < 0.01 for all). Similar rates of two-category BPE transitions (P = 0.65) and shifts between low and high binary categories (P = 0.32) were observed in pre- and postmenopausal women; however, the latter group had a significantly smaller proportion of cases with five consistent grades (P = 0.02). CONCLUSION/CONCLUSIONS:BPE on CEM demonstrates greater longitudinal variability than MD across all age groups and is not more pronounced in premenopausal compared to postmenopausal women. This highlights its dynamic nature and underscores the need for caution when considering BPE in clinical decision-making or as a biomarker, while also suggesting that strict menstrual cycle phase targeting may be less critical.

Women with extremely dense breasts account for approximately 10% of the screening population and face an increased lifetime risk of developing breast cancer. At the same time, the sensitivity of mammography, the first-line screening modality, is significantly reduced in this breast density group, owing to the masking effect of the abundant fibroglandular tissue. Consequently, this population has garnered increasing scientific attention due to the unique diagnostic challenge they present. Several research initiatives have attempted to address this diagnostic challenge by incorporating supplemental imaging modalities such as ultrasound, MRI, and contrast-enhanced mammography. Each of these modalities offers different benefits as well as limitations, both clinically and practically, including considerations of availability and costs. The purpose of this article is to critically review the background, latest scientific evidence, and future directions for the use of the various supplemental screening techniques for women with extremely dense breasts.

OBJECTIVES/OBJECTIVE:To compare liver metastases changes in CT assessed by radiologists using RECIST 1.1 and with aided simultaneous deep learning-based volumetric lesion changes analysis. METHODS:A total of 86 abdominal CT studies from 43 patients (prior and current scans) of abdominal CT scans of patients with 1041 liver metastases (mean = 12.1, std = 11.9, range 1-49) were analyzed. Two radiologists performed readings of all pairs; conventional with RECIST 1.1 and with computer-aided assessment. For computer-aided reading, we used a novel simultaneous multi-channel 3D R2U-Net classifier trained and validated on other scans. The reference was established by having an expert radiologist validate the computed lesion detection and segmentation. The results were then verified and modified as needed by another independent radiologist. The primary outcome measure was the disease status assessment with the conventional and the computer-aided readings with respect to the reference. RESULTS:For conventional and computer-aided reading, there was a difference in disease status classification in 40 out of 86 (46.51%) and 10 out of 86 (27.9%) CT studies with respect to the reference, respectively. Computer-aided reading improved conventional reading in 30 CT studies by 34.5% for two readers (23.2% and 46.51%) with respect to the reference standard. The main reason for the difference between the two readings was lesion volume differences (p = 0.01). CONCLUSIONS:AI-based computer-aided analysis of liver metastases may improve the accuracy of the evaluation of neoplastic liver disease status. CLINICAL RELEVANCE STATEMENT/CONCLUSIONS:AI may aid radiologists to improve the accuracy of evaluating changes over time in metastasis of the liver. KEY POINTS/CONCLUSIONS:• Classification of liver metastasis changes improved significantly in one-third of the cases with an automatically generated comprehensive lesion and lesion changes report. • Simultaneous deep learning changes detection and volumetric assessment may improve the evaluation of liver metastases temporal changes potentially improving disease management.

Fertility preservation is becoming an integral part of cancer care among women of reproductive age. Despite advances in the treatment of pelvic malignancies, all the currently available treatment approaches, including radiotherapy, chemotherapy, and surgery, place women at high risk for future fertility impairment. With improved long-term survival rates associated with cancer, expanding the reproductive options available is of high priority. Several fertility preservation options are available today for women with gynecologic and non-gynecologic malignancies. Depending on the underlying oncological entity, these can include the following procedures whether alone or in combination: oocyte cryopreservation, embryo cryopreservation, ovarian tissue cryopreservation, ovarian transposition, and trachelectomy. The purpose of this review is to provide the most up-to-date information on the aforementioned fertility-preserving approaches and highlight the current challenges, drawbacks, and areas of research where more data are still very necessary to optimize outcomes in young female oncological patients desiring pregnancy in the future.

Mucinous colorectal carcinomas (MC) constitute 10% of colorectal malignancies. Recently, an increased risk of colorectal cancer has been demonstrated in germline BRCA1/2 mutation carriers. Furthermore, BRCA1/2 germline mutation carriers have exhibited a higher-than-expected frequency of MC tumors. Here, we investigate the relationship between BRCA mutations and mucinous histology in colorectal carcinoma patients, using both an existing cohort of sequenced colorectal tumors and a prospective case-control study comparing MC and conventional adenocarcinoma (AC) patients tested for BRCA mutations. We discovered that MC tumors exhibit a statistically significantly higher incidence of BRCA mutations in addition to a higher average mutation count when compared to AC tumors in the existing cohort. The strongest predictor of the mutation count was mucinous histology, independently of other variables including microsatellite instability. Contrary to our hypothesis, the first association did not recur in the prospective case-control study, likely due to our pathological definition of MC tumors and small sample size. Finally, we observed a higher tumor mutational burden (TMB) in MC tumors compared with AC tumors. We suggest that the association between MC histology, BRCA mutations, and increased TMB may open the door to the utilization of simple tests (such as histopathologic characterization) to detect patients who may benefit from immunotherapy in colorectal cancer.

BACKGROUND:Since the implementation of a hepatitis A virus (HAV) immunization program for children, which began in 1999 in Israel, HAV infections in the country have occurred mostly in adults. HAV infection in adults is usually symptomatic and may present with hepatic, as well as extrahepatic, abdominal complications. OBJECTIVES/OBJECTIVE:To estimate the prevalence of extrahepatic abdominal complications in patients diagnosed with HAV. METHODS:Most extrahepatic abdominal complications corresponding to HAV infection have ultrasonographic manifestations; therefore, we retrospectively collected findings from ultrasound examinations in addition to laboratory data from adult patients with HAV infection who were admitted to our medical center between 2004 and 2016. Associations between ultrasonographic findings and laboratory parameters that reflect disease severity were identified. RESULTS:A total of 43 consecutive adult patients were included in this study. None presented with fulminant hepatic failure. Thirty patients (70%) had at least one ultrasonographic finding. Ascites was noted in 8 patients, a thickened gallbladder wall was observed in 14, pericholecystic fluid was found in 8, and biliary sludge was observed in 4. Significant associations included the presence of any ultrasonographic finding and peak total bilirubin levels (P = 0.021), the presence of ascites with peak aspartate and alanine aminotransferase levels (P = 0.041 and P = 0.038, respectively), and the presence of biliary sludge and nadir albumin during the HAV disease course (P = 0.037). CONCLUSIONS:Abdominal ultrasonographic findings, such as ascites and gallbladder abnormalities, are frequently observed during acute HAV infection and are significantly associated with disease severity.

PURPOSE/OBJECTIVE:To revisit risk factors of major obstetric hemorrhage in a large obstetric center. STUDY DESIGN/METHODS:A retrospective case control study was conducted based on institutional electronic database and blood bank registry of a single center, 2005-2014. The major obstetric hemorrhage event was defined as transfusion of ≥5 red blood cells units within 48 h of birth and compared to matched group (ratio 1:4) based on the time of birth. Multivariable stepwise backward logistic regression models were fitted to determine risk factors for major obstetric hemorrhage. Odds ratio (OR), further evaluated by standard measures of the predictive accuracy of the logistic regression models, C statistics, and associated neonatal adverse outcome are reported. RESULTS:113,342 women delivered during the study; 122 (0.1 %) women experienced major obstetric hemorrhage. There was one major obstetric hemorrhage fatality (0.8 %). Compared to the controls, we identified historical as well as significant current modifiable risk factors for major obstetric hemorrhage: multifetal pregnancy (OR 3.92; 95 % CI 1.34-11.52; p = 0.013), induction of labor (OR 2.81; 95 % CI 1.22-7.05; p = 0.027), cesarean section (OR 25.56; 95 % CI 12.88-50.75; p < 0.001), and instrumental delivery (OR 6.58; 95 % CI 2.36-18.3; p < 0.001). C statistics of the model for major obstetric hemorrhage prediction was 0.919 (95 % CI 0.890-0.948, p < 0.001). CONCLUSION/CONCLUSIONS:Major obstetric hemorrhage is a rare event with potentially modifiable risk factors which represent a platform of interventions for lessening obstetric morbidity.