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Objective: Evaluation of the imaging features of pathology-proven acinar cell carcinomas (ACCs) of the pancreas using computed tomography (CT). Methods: We reviewed the CT features, clinical presentations, and clinical outcomes of 15 patients (9 men, 6 women, mean age 62.3) with pathology-proven pancreatic ACCs. An abdominal radiologist retrospectively evaluated each patient's initial imaging study with respect to the lesion's size, location, attenuation (Hounsfield units) on arterial and venous phase images, peripancreatic lymphadenopathy, and distant metastases. Additional parameters studied included biliary and pancreatic ductal dilatation, intratumoral hemorrhage, calcification, the presence of cystic/necrotic components, and whether the tumor was intraparenchymal or exophytic. Results: The ACCs in this series were evenly distributed between the head/uncinate and the tail, were predominantly exophytic (73%), tended to be large (average size 5.1 cm), and were mostly hypodense to the surrounding pancreas on both the arterial and venous phase images. A sizeable proportion demonstrated a cystic or necrotic component (53%) and/or an enhancing capsule (53%). Of those lesions in the head or uncinate process, very few resulted in pancreatic (28%) or biliary (14%) ductal dilatation. None of the lesions in this series showed internal calcification or intratumoral hemorrhage. Conclusion: While a prospective diagnosis is difficult, ACCs have several features which can differentiate them from ductal adenocarcinoma, including their large size, lack of biliary or pancreatic ductal dilatation, exophytic nature, and the presence of an enhancing capsule. [ABSTRACT FROM AUTHOR]

Cancer is fundamentally a genetic disease caused by the accumulation of somatic mutations in oncogenes and tumor suppressor genes. In the last decade, rapid advances in sequencing and bioinformatic technology led to an explosion in sequencing studies of cancer genomes, greatly expanding our knowledge of the genetic changes underlying a variety of tumor types. Several of these studies of cancer genomes have focused on pancreatic neoplasms, and cancers from the pancreas are some of the best characterized tumors at the genetic level. Pancreatic neoplasms encompass a wide array of clinical diseases, from benign cysts to deadly cancers, and the genetic alterations underlying neoplasms of the pancreas are similarly diverse. This new knowledge of pancreatic cancer genomes has deepened our understanding of tumorigenesis in the pancreas and has opened several promising new avenues for novel diagnostics and therapeutics. [ABSTRACT FROM AUTHOR]

Although autopsy studies report that the second most common site of the accessory spleen is in the tail of the pancreas, intrapancreatic accessory spleens (IPASs) are rarely recognized radiologically. With recent improvements in imaging techniques, IPASs are more commonly detected on imaging studies. IPAS can be mistaken for other type of mass-forming lesions in the tail of the pancreas, particularly an asymptomatic small neuroendocrine neoplasm. Rarely, an epidermoid cyst originating from IPAS may simulate other cystic pancreatic lesion. Accurate preoperative diagnosis would obviate unnecessary surgery. IPAS should be considered when a hypervascular mass is seen in the tail of the pancreas on CT. Typical location, similar attenuation of the lesion to the spleen on noncontrast, and postcontrast CT at different phases are helpful to make diagnosis of IPAS. In particular, characteristic heterogeneous contrast enhancement of IPAS on the arterial phase may be helpful for correct diagnosis. However, when it remains difficult to exclude the other diagnosis, (99m)Tc labeled heat-damaged red blood cell scintigraphy or superparamagnetic iron oxide-enhanced MRI can be used to confirm the diagnosis of IPAS. [ABSTRACT FROM AUTHOR]

Background: Precise localization of small pancreatic tumors during laparoscopic distal pancreatectomy (LDP) can be difficult because of decreased tactile ability of laparoscopy and the homogeneous appearance of the pancreas and surrounding retroperitoneal fat. Precise localization of the lesion is critical to achieving adequate margins of resection and preserving healthy pancreatic tissue. EUS-guided fine-needle tattooing (EUS-FNT) of a pancreatic lesion before LDP has been described in single case reports, but no large series have reported its effectiveness in patients undergoing LDP. Objective: To assess the feasibility, safety, and efficacy of EUS-FNT in consecutive patients undergoing LDP. Design: Retrospective cohort study. Setting: Tertiary-care referral hospital. Patients: This study involved 30 consecutive patients who underwent LDP from 2008 to 2010. Thirteen had EUS-FNT followed by LDP, and 17 had LDP alone. Interventions: LDP or EUS-FNT with a sterile carbon-particle tattoo followed by LDP. Main Outcome Measurements: The following features were examined: the technical success and complication rates of EUS-FNT, visibility of the tattoo at the time of laparoscopy, durability of the tattoo, and pathologic absence of tumor at the resection margin. Results: The final pathology of pancreatic lesions of patients who had EUS-FNT was similar to those who had LDP alone. The median resected tumor size was significantly larger for the LDP-alone patients (median 4.0 cm vs 1.3 cm; P = .03). Thirty-one percent (4/13) of lesions in the EUS-FNT group were not visualized by prior preoperative pancreatic protocol CT. EUS-FNT was feasible in all 13 patients at laparoscopy, with R0 resection and negative final pathology margins in all cases. The tattoo was visible in all 13 EUS-FNT cases, with mean time from EUS-FNT to surgery of 20.3 days (range, 3-69 days). There were no significant complications associated with EUS-FNT. Limitations: Small, retrospective, single-center study. Conclusions: Preoperative EUS-FNT of lesions was technically feasible and safe, and it assisted in the localization of lesions in patients before LDP. The carbon particle tattoo was durable and visible in all cases. [ABSTRACT FROM AUTHOR]

Pancreatic cancer is the fourth leading cause of cancer death in both men and women in the United States and will be responsible for an estimated 28,900 deaths in 2001. Relatively little is known of its etiology, and the only well-established risk factor is cigarette smoking. Studies over the past 3 decades have shown that 4%-16% of patients with pancreatic cancer have a family history of the disease. A small fraction of this aggregation can be accounted for in inherited cancer syndromes, including familial atypical multiple-mole melanoma, Peutz-Jeghers syndrome, hereditary breast-ovarian cancer, hereditary pancreatitis, and hereditary nonpolyposis colorectal cancer. These syndromes arise as a result of germline mutations in the BRCA2, pl6 (familial atypical multiple-mole melanoma), mismatch repair (hereditary nonpolyposis colorectal cancer), and STK11 (Peutz-Jeghers syndrome) genes. In addition, hereditary plays a role in predisposing certain patients with apparently sporadic pancreatic cancer. Many patients with pancreatic cancers caused by a germline mutation in a cancer-causing gene do not have a pedigree that is suggestive of a familial cancer syndrome. A recent prospective analysis of the pedigrees in the National Familial Pancreatic Tumor Registry found that individuals with a family history of pancreatic cancer in multiple first-degree relatives have a high risk of pancreatic cancer themselves. The identification of such high-risk individuals will help clinicians target screening programs and develop preventive interventions with the hope of reducing the mortality of pancreatic cancer in these families. [ABSTRACT FROM AUTHOR]

Objectives: Recent studies have shown that the pathology workforce is at risk of decreased workplace well-being, which may lead to decreased job satisfaction, increased attrition, burnout, depression, anxiety, and suicidality, but there has been relatively little research on well-being initiatives designed for pathologists, pathology trainees, and laboratory professionals. Some studies have suggested that well-being initiatives may decrease burnout and increase workplace satisfaction and engagement., Methods: Here we describe the creation of a Pathology Wellness Committee in a large residency program. Interventions included emotional, social, and physical well-being interventions as well as system-based improvements. Additional initiatives were introduced in response to the increased stress, isolation, and social distancing guidelines during the height of the COVID-19 pandemic. The program's impact was measured by an annual House Staff Council Resident Wellness Survey over 4 years., Results: The annual surveys showed improvements in workplace and residency program satisfaction and emotional well-being following system-based improvements and well-being initiatives. Physical and social well-being showed slight but not statistically significant decreases over the 4-year period. Results from the annual Accreditation Council for Graduate Medical Education Survey were also evaluated., Conclusions: We found that dedicated well-being initiatives in conjunction with system-based interventions may help improve overall well-being in pathology residents., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related mortality and it is often diagnosed at advanced stages due to non-specific clinical presentation. Disease detection at localized disease stage followed by surgical resection remains the only potentially curative treatment. In this era of precision medicine, a multifaceted approach to early detection of PDAC includes targeted screening in high-risk populations, serum biomarkers and "liquid biopsies", and artificial intelligence augmented tumor detection from radiologic examinations. In this review, we will review these emerging techniques in the early detection of PDAC., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis mostly due to the advanced stage at which disease is diagnosed. Early detection of disease at a resectable stage is, therefore, critical for improving outcomes of patients. Prior studies have demonstrated that pancreatic abnormalities may be detected on CT in up to 38% of CT studies 5 years before clinical diagnosis of PDAC. In this review, we highlight commonly missed signs of early PDAC on CT. Broadly, these commonly missed signs consist of small isoattenuating PDAC without contour deformity, isolated pancreatic duct dilatation and cutoff, focal pancreatic enhancement and focal parenchymal atrophy, pancreatitis with underlying PDAC, and vascular encasement. Through providing commentary on demonstrative examples of these signs, we demonstrate how to reduce the risk of missing or misinterpreting radiological features of early PDAC., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Better in vitro models are needed to identify active drugs to treat pancreatic adenocarcinoma (PAC) patients. We used 3D hanging drop cultures to produce spheroids from five PAC cell lines and tested nine FDA-approved drugs in clinical use. All PAC cell lines in 2D culture were sensitive to three drugs (gemcitabine, docetaxel and nab-paclitaxel), however most PAC (4/5) 3D spheroids acquired profound chemoresistance even at 10 µM. In contrast, spheroids retained sensitivity to the investigational drug triptolide, which induced apoptosis. The acquired chemoresistance was also transiently retained when cells were placed back into 2D culture and six genes potentially associated with chemoresistance were identified by microarray and confirmed using quantitative RT-PCR. We demonstrate the additive effect of gemcitabine and erlotinib, from the 12 different combinations of nine drugs tested. This comprehensive study shows spheroids as a useful multicellular model of PAC for drug screening and elucidating the mechanism of chemoresistance.

Purpose: The purpose of this study was to develop a radiomics-based algorithm to identify small pancreatic neuroendocrine tumors (PanNETs) on CT and evaluate its robustness across manual and automated segmentations, exploring the feasibility of automated screening., Materials and Methods: Patients with pathologically confirmed T1 stage PanNETs and healthy controls undergoing dual-phase CT imaging were retrospectively identified. Manual segmentation of pancreas and tumors was performed, then automated pancreatic segmentations were generated using a pretrained neural network. A total of 1223 radiomics features were independently extracted from both segmentation volumes, in the arterial and venous phases separately. Ten final features were selected to train classifiers to identify PanNETs and controls. The cohort was divided into training and testing sets, and performance of classifiers was assessed using area under the receiver operator characteristic curve (AUC), specificity and sensitivity, and compared against two radiologists blinded to the diagnoses., Results: A total of 135 patients with 142 PanNETs, and 135 healthy controls were included. There were 168 women and 102 men, with a mean age of 55.4 ± 11.6 (standard deviation) years (range: 20-85 years). Median PanNET size was 1.3 cm (Q1, 1.0; Q3, 1.5; range: 0.5-1.9). The arterial phase LightGBM model achieved the best performance in the test set, with 90 % sensitivity (95 % confidence interval [CI]: 80-98), 76 % specificity (95 % CI: 62-88) and an AUC of 0.87 (95 % CI: 0.79-0.94). Using features from the automated segmentations, this model achieved an AUC of 0.86 (95 % CI: 0.79-0.93). In comparison, the two radiologists achieved a mean 50 % sensitivity and 100 % specificity using arterial phase CT images., Conclusion: Radiomics features identify small PanNETs, with stable performance when extracted using automated segmentations. These models demonstrate high sensitivity, complementing the high specificity of radiologists, and could serve as opportunistic screeners., Competing Interests: Declaration of competing interest Dr. Elliot K. Fishman discloses the following relationships: Siemens Medical Systems, research grant support, and HIP Graphics, co-founder. The other authors have no competing interests or disclosures to declare., (Copyright © 2024 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.)