Computed tomography features of acinar cell carcinoma of the pancreas

Barat, Maxime; Dohan, Anthony; Gaujoux, Sébastien; Hoeffel, Christine; Jornet, D.; Oudjit, Ammar; Barret, Maximilien; Terris, Benoı̂t; Soyer, Philippe

doi:10.1016/j.diii.2020.02.007

Cited by 8 publications

(4 citation statements)

References 36 publications

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“…The largest axial diameter was measured using calipers in the axial plane on magnified CT images. Non-enhancing areas with attenuation similar to that of the gallbladder on unenhanced CT images were considered as necrotic components of the tumor, whereas the others were considered solid [6]. Tumor enhancement was considered present when enhancement was identified on CT images obtained after intravenous administration of iodinated contrast material, whatever the specific imaging phase.…”

Section: Image Analysismentioning

confidence: 99%

Utility of CT to Differentiate Pancreatic Parenchymal Metastasis from Pancreatic Ductal Adenocarcinoma

Barat

Aldhaheri

Dohan

et al. 2021

Cancers

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Purpose: To report the computed tomography (CT) features of pancreatic parenchymal metastasis (PPM) and identify CT features that may help discriminate between PPM and pancreatic ductal adenocarcinoma (PDAC). Materials and methods: Thirty-four patients (24 men, 12 women; mean age, 63.3 ± 10.2 [SD] years) with CT and histopathologically proven PPM were analyzed by two independent readers and compared to 34 patients with PDAC. Diagnosis performances of each variable for the diagnosis of PPM against PDAC were calculated. Univariable and multivariable analyses were performed. A nomogram was developed to diagnose PPM against PDAC. Results: PPM mostly presented as single (34/34; 100%), enhancing (34/34; 100%), solid (27/34; 79%) pancreatic lesion without visible associated lymph nodes (24/34; 71%) and no Wirsung duct enlargement (29/34; 85%). At multivariable analysis, well-defined margins (OR, 6.64; 95% CI: 1.47–29.93; p = 0.014), maximal enhancement during arterial phase (OR, 6.15; 95% CI: 1.13–33.51; p = 0.036), no vessel involvement (OR, 7.19; 95% CI: 1.512–34.14) and no Wirsung duct dilatation (OR, 10.63; 95% CI: 2.27–49.91) were independently associated with PPM. The nomogram yielded an AUC of 0.92 (95% CI: 0.85–0.98) for the diagnosis of PPM vs. PDAC. Conclusion: CT findings may help discriminate between PPM and PDAC.

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Section: Image Analysismentioning

confidence: 99%

Utility of CT to Differentiate Pancreatic Parenchymal Metastasis from Pancreatic Ductal Adenocarcinoma

Barat

Aldhaheri

Dohan

et al. 2021

Cancers

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“…Labate et al were the first to describe the cytopathology of PACC in detail and were able to correctly diagnose PACC from a cytology specimen in just 2 of 7 cases [152] . Subsequently, the diagnostic yield has not appeared to improve, as only 2 of 7 cases reported since could be definitively diagnosed as PACC based on cytology alone [153][154][155][156] .…”

Section: Pacc Diagnosis and Imagingmentioning

confidence: 99%

“…Tumor hypoattenuation in arterial phase compared to the uninvolved pancreas was much less frequent in PACC and PACC was much more likely to have well-defined margins than PDAC. Lack of bile duct dilatation was also much more common in PACC than PDAC [ 157 ] . MRI characteristics of PACC were investigated in a small study of 5 patients, and it was concluded that PACC presents as a round, encapsulated tumor with moderate and heterogeneous enhancement after gadolinium administration [ 158 ] .…”

Section: Pancreatic Acinar Cell Carcinoma (Pacc)mentioning

confidence: 99%

Two rare cancers of the exocrine pancreas: to treat or not to treat like ductal adenocarcinoma?

2023

J Cancer Metastasis Treat

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Pancreatic cancer is an aggressive malignancy with increasing incidence. Pancreatic ductal adenocarcinoma (PDAC) accounts for > 90% of pancreatic cancer diagnoses, while other exocrine tumors are much rarer. In this review, we have focused on two rare cancers of the exocrine pancreas: adenosquamous carcinoma of the pancreas (ASCP) and pancreatic acinar cell carcinoma (PACC). The latest findings regarding their cellular and molecular pathology, clinical characteristics, prognosis, and clinical management are discussed. New genetic and transcriptomic data suggest that ASCP is related to or overlaps with the basal transcriptomic subtype of PDAC. These tumors are highly aggressive and driven by activated KRAS and MYC expression. Clinical outcomes remain poor and effective treatments are limited. PACC has no morphologic or genetic resemblance to PDAC and more favorable outcomes. Early stage PACC patients have improved survival with surgical resection and patients with advanced disease benefit most from platinum-or fluoropyrimidine-containing chemotherapy. Frequency of actionable genetic mutations is high in this disease and case reports suggest good outcomes when matched therapy is given. Dedicated clinical studies examining ASCP and PACC are limited and difficult to accrue. Further research is needed to define optimal clinical management for these rare diseases.

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“…Основным методом визуализации ПЖ на сегодняшний день является компьютерная томография (КТ) [5,6]. Технический прогресс в области инструментальной визуализации внутренних органов привел к возникновению инновационной технологии цветового 3D-моделирования области хирургического вмешательства [7][8][9].…”

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The role of 3D modeling in pancreas surgery: a review

Kudashkina,

Kamyshanskaya,

Cheremisin

et al. 2023

Lučevaâ diagn. ter.

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INTRODUCTION: Surgical interventions on the pancreas are technically complex and are accompanied by a fairly large number of complications, which is largely due to the variant anatomy of the pancreas.OBJECTIVE: The aim of this paper is to evaluate the possibilities of 3D modeling in the surgical treatment of pancreatic diseases according to the literature.MATERIALS AND METHODS: Literature searched in Russian and English for the period from 2017 to 2022 in Medline/PubMed, RSCI/Elibrary, CyberLeninka, Google Scholar databases. The search was conducted on the keywords: pancreas, chronic pancreatitis, pancreatic cancer, pancreatic resection, computed tomography, 3-D modeling, 3-D reconstruction, surgical planning, surgical intervention, pancreas, chronic pancreatitis, pancreas cancer, pancreatectomy, computed tomography, 3-D modeling, 3D reconstruction, surgical planning.RESULTS: 49 publications on various aspects of the use of 3D modeling in pancreatic surgery were included in the final analysis. The diagnostic value of building three-dimensional models in assessing the resectability of pancreatic tumors, identifying individual topographic and anatomical features of the pancreatobiliary zone, which should be taken into account during surgery to avoid intra- and postoperative complications, is shown. Examples of a description based on 3D modeling of rare vascular anomalies and cysts that are not visualized according to standard computed tomography in patients who are scheduled for pancreatic surgery are presented. The importance of postoperative 3D modeling of the pancreas for assessing the adequacy of the surgical intervention and early detection of possible complications of the operation is indicated.CONCLUSION: 3D modeling is an innovative and promising diagnostic method that allows increasing the information content of standard computed tomography in pancreatic surgery. 3D models make it possible to select patients for pancreatic resection and substantiate the most optimal surgical strategy. In the future, we should expect an improvement in the results of surgical treatment of pancreatic tumors and complicated pancreatitis.

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Computed tomography features of acinar cell carcinoma of the pancreas

Cited by 8 publications

References 36 publications

Utility of CT to Differentiate Pancreatic Parenchymal Metastasis from Pancreatic Ductal Adenocarcinoma

Utility of CT to Differentiate Pancreatic Parenchymal Metastasis from Pancreatic Ductal Adenocarcinoma

Two rare cancers of the exocrine pancreas: to treat or not to treat like ductal adenocarcinoma?

The role of 3D modeling in pancreas surgery: a review

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