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Radiomics is a relatively new approach for image analysis. As a part of radiomics, texture analysis, which consists in extracting a great amount of quantitative data from original images, can be used to identify specific features that can help determining the actual nature of a pancreatic lesion and providing other information such as resectability, tumor grade, tumor response to neoadjuvant therapy or survival after surgery. In this review, the basic of radiomics, recent developments and the results of texture analysis using computed tomography and magnetic resonance imaging in the field of pancreatic tumors are presented. Future applications of radiomics, such as artificial intelligence, are discussed.

Treatment of locally advanced rectal cancer involves chemoradiation, followed by total mesorectum excision. Complete response after chemoradiation is an accurate surrogate for long-term local control. Predicting complete response from pre-treatment features could represent a major step towards conservative treatment. Patients with a T2-4 N0-1 rectal adenocarcinoma treated between June 2010 and October 2016 with neo-adjuvant chemoradiation from three academic institutions were included. All clinical and treatment data was integrated in our clinical data warehouse, from which we extracted the features. Radiomics features were extracted from the tumor volume from the treatment planning CT Scan. A Deep Neural Network (DNN) was created to predict complete response, as a methodological proof-of-principle. The results were compared to a baseline Linear Regression model using only the TNM stage as a predictor and a second model created with Support Vector Machine on the same features used in the DNN. Ninety-five patients were included in the final analysis. There were 49 males (52%) and 46 females (48%). Median tumour size was 48 mm (15–130). Twenty-two patients (23%) had pathologic complete response after chemoradiation. One thousand six hundred eighty-three radiomics features were extracted. The DNN predicted complete response with an 80% accuracy, which was better than the Linear Regression model (69.5%) and the SVM model (71.58%). Our model correctly predicted complete response after neo-adjuvant rectal chemoradiotherapy in 80% of the patients of this multicenter cohort. Our results may help to identify patients who would benefit from a conservative treatment, rather than a radical resection.

The 2017 World Health Organization (WHO) classification of neuroendocrine neoplasms (NEN) of the digestive tract introduced a new category of tumors named well-differentiated grade 3 neuroendocrine tumors (NET G−3). These lesions show a number of mitosis, or a Ki−67 index higher than 20% with a well-differentiated morphology, therefore separating them from neuroendocrine carcinomas (NEC) which are poorly differentiated. It has become clear that NET G−3 show differences not only in morphology but also in genotype, clinical presentation, and treatment response. The incidence of digestive NET G−3 represents about one third of NEN G−3 with main tumor sites being the pancreas, the stomach and the colon. Treatment for NET G−3 is not yet standardized because of lack of data. In a non-metastatic setting, international guidelines recommend surgical resection, regardless of tumor grading. For metastatic lesion, chemotherapy is the main treatment with similar regimen as NET G−2. Sunitinib has also shown some positive results in a small sample of patients but this needs confirmation. Peptide receptor radionuclide therapy (PRRT) and immunotherapy could be future available treatments after ongoing studies. The goal of this review was to sum up the latest data on the epidemiology and management of digestive NET G−3.

Abdominal cancers continue to pose daily challenges to clinicians, radiologists and researchers. These challenges are faced at each stage of abdominal cancer management, including early detection, accurate characterization, precise assessment of tumor spread, preoperative planning when surgery is anticipated, prediction of tumor aggressiveness, response to therapy, and detection of recurrence. Technical advances in medical imaging, often in combination with imaging biomarkers, show great promise in addressing such challenges. Information extracted from imaging datasets owing to the application of radiomics can be used to further improve the diagnostic capabilities of imaging. However, the analysis of the huge amount of data provided by these advances is a difficult task in daily practice. Artificial intelligence has the potential to help radiologists in all these challenges. Notably, the applications of AI in the field of abdominal cancers are expanding and now include diverse approaches for cancer detection, diagnosis and classification, genomics and detection of genetic alterations, analysis of tumor microenvironment, identification of predictive biomarkers and follow-up. However, AI currently has some limitations that need further refinement for implementation in the clinical setting. This review article sums up recent advances in imaging of abdominal cancers in the field of image/data acquisition, tumor detection, tumor characterization, prognosis, and treatment response evaluation.

The applications of artificial intelligence (AI), including machine learning and deep learning, in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the detection of pancreatic ductal adenocarcinoma and other pancreatic tumors but also for pancreatic lesion characterization. In this review, the basic of radiomics, recent developments and current results of AI in the field of pancreatic tumors are presented. Limitations and future perspectives of AI are discussed.

Sorafenib induces frequent dose limiting toxicities (DLT) in patients with advanced hepatocellular carcinoma (HCC). Sarcopenia has been associated with poor performance status and shortened survival in cancer patients. The characteristics of Child Pugh A cirrhotic patients with HCC receiving sorafenib in our institution were retrospectively analyzed. Sorafenib plasma concentrations were determined at each visit. Toxicities were recorded during the first month of treatment, and sarcopenia was determined from baseline CT-scans. Forty patients (30 males) were included. Eleven (27.5%) were sarcopenic. Eighteen patients (45%) experienced a DLT during the first month of treatment. Sarcopenic patients experienced significantly more DLTs than non-sarcopenic patients did (82% versus 31%, p = 0.005). Grade 3 diarrhea was significantly more frequent in sarcopenic patients than in non-sarcopenic patients (45.5% versus 6.9%, p = 0.01), but not grade 3 hand foot syndrome reaction (9% versus 17.2%, p = 1). On day 28, median sorafenib AUC (n = 17) was significantly higher in sarcopenic patients (102.4 mg/l.h versus 53.7 mg/l.h, p = 0.013). Among cirrhotic Child Pugh A patients with advanced HCC, sarcopenia predicts sorafenib exposure and the occurrence of DLT within the first month of treatment.

Positron emission tomography/computed tomography (PET/CT) is a nuclear medicine functional imaging technique with proven clinical value in oncology. PET/CT indications are continually evolving with fresh advances made through research. French practice on the use of PET in oncology was framed in recommendations based on Standards–Options–Recommendations methodology and coordinated by the French federation of Comprehensive Cancer Centres (FNLCC). The recommendations were originally issued in 2002 followed by an update in 2003, but since then, a huge number of scientific papers have been published and new tracers have been licenced for market release. The aim of this work is to bring the 2003 version recommendations up to date. For this purpose, a focus group was set up in collaboration with the French Society for Nuclear Medicine (SFMN) to work on developing good clinical practice recommendations. These good clinical practice recommendations have been awarded joint French National Heath Authority (HAS) and French Cancer Institute (INCa) label status—the stamp of methodological approval. The present document is the outcome of comprehensive literature review and rigorous appraisal by a panel of experts, organ specialists, clinical oncologists, surgeons and imaging specialists. These data were also used for the EANM referral guidelines.

SummaryBackgroundThere is no standard second-line treatment after platinum–etoposide chemotherapy for gastroenteropancreatic neuroendocrine carcinoma. We aimed to evaluate the efficacy of FOLFIRI plus bevacizumab, and FOLFIRI alone, in this setting. MethodsWe did a randomised, non-comparative, open-label, phase 2 trial (PRODIGE 41-BEVANEC) at 26 hospitals in France. We included patients aged 18 years or older with locally advanced or metastatic gastroenteropancreatic neuroendocrine carcinoma or neuroendocrine carcinoma of unknown primary origin, documented progressive disease during or after first-line platinum–etoposide chemotherapy, and an Eastern Cooperative Oncology Group performance status of 0–2. Patients were randomly assigned (1:1; block size of three), without stratification, to receive FOLFIRI (irinotecan 180 mg/m 2, calcium folinate 400 mg/m 2 or levofolinate 200 mg/m 2, and fluorouracil 400 mg/m 2 bolus then 2400 mg/m 2 over 46 h) plus bevacizumab 5 mg/kg or FOLFIRI alone, intravenously, every 2 weeks until disease progression or unacceptable toxicity. Neither patients nor investigators were masked to group assignment. The primary outcome was overall survival at 6 months after randomisation, evaluated in the modified intention-to-treat population (all enrolled and randomly assigned patients who received at least one cycle of FOLFIRI). This study is now complete and is registered with ClinicalTrials.gov, NCT02820857. FindingsBetween Sept 5, 2017, and Feb 8, 2022, 150 patients were assessed for eligibility and 133 were enrolled and randomly assigned: 65 to the FOLFIRI plus bevacizumab group and 68 to the FOLFIRI group. 126 patients (59 in the FOLFIRI plus bevacizumab group and 67 in the FOLFIRI group) received at least one cycle of FOLFIRI and were included in the modified intention-to-treat population, 83 (66%) of whom were male and 43 (34%) were female, and the median age of the patients was 67 years (IQR 58–73). The primary tumour location was colorectal in 38 (30%) of 126 patients, pancreatic in 34 (27%), gastro-oesophageal in 22 (17%), and unknown in 23 (18%). After a median follow-up of 25·7 months (95% CI 22·0–38·2), 6-month overall survival was 53% (80% CI 43–61) in the FOLFIRI plus bevacizumab group and 60% (51–68) in the FOLFIRI group. Grade 3–4 adverse events that occurred in at least 5% of patients were neutropenia (eight [14%] patients), diarrhoea (six [10%]), and asthenia (five [8%]) in the FOLFIRI plus bevacizumab group, and neutropenia (seven [10%]) in the FOLFIRI group. One treatment-related death (ischaemic stroke) occurred in the FOLFIRI plus bevacizumab group. InterpretationThe addition of bevacizumab did not seem to increase the benefit of FOLFIRI with regard to overall survival. FOLFIRI could be considered as a standard second-line treatment in patients with gastroenteropancreatic neuroendocrine carcinoma. FundingFrench Ministry of Health and Roche SAS.

Background: There is currently no standard second-line treatment for metastatic pancreatic adenocarcinoma (MPA), and progression-free survival is consistently <4 months in this setting. The aim of this study was to evaluate the efficacy and tolerability of Nab-paclitaxel plus gemcitabine (A+G) after Folfirinox failure in MPA. Methods: From February 2013 to July 2014, all consecutive patients treated with A+G for histologically proven MPA after Folfirinox failure were prospectively enrolled in 12 French centres. A+G was delivered as described in the MPACT trial, until disease progression, patient refusal or unacceptable toxicity. Results: Fifty-seven patients were treated with Nab-paclitaxel plus gemcitabine, for a median of 4 cycles (range 1–12). The disease control rate was 58%, with a 17.5% objective response rate. Median overall survival (OS) was 8.8 months (95% CI: 6.2–9.7) and median progression-free survival was 5.1 months (95% CI: 3.2–6.2). Since the start of first-line chemotherapy, median OS was 18 months (95% CI: 16–21). No toxic deaths occurred. Grade 3–4 toxicities were reported in 40% of patients, consisting of neutropenia (12.5%), neurotoxicity (12.5%), asthenia (9%) and thrombocytopenia (6.5%). Conclusions: A+G seems to be effective, with a manageable toxicity profile, after Folfirinox failure in patients with MPA.

Background Patients with borderline (BR) or locally advanced (LA) pancreatic adenocarcinoma (PAC) are often treated with induction FOLFIRINOX (FLX). However, the role of additional preoperative chemoradiotherapy (CRT) is controversial. The aim of this study is to evaluate its impact in patients who underwent resection after induction FLX. Patients and Methods Retrospective analysis of prospective consecutive surgical BR or LA PAC patients after induction FLX in 23 French centers between November 2010 and December 2015, treated with or without preoperative additional CRT (FLX vs FLX + CRT groups). Results Two hundred three patients were included (106 BR, 97 LA PAC). Median number of FLX cycles was 6 (range 1–30); 50% ( n  = 102) of patients received additional CRT. Median duration between diagnosis and surgery was 5.4 and 8.7 months ( P  = 0.001) in the FLX and FLX + CRT group, respectively. The 90-day mortality, major complications, and pancreatic fistula rates were 4.4%, 17.7%, and 5.4%, respectively. After 45.1 months follow-up, overall survival (OS) and disease-free survival were 45.4 months and 16.2 months, respectively. Patients with additional CRT had higher R0 resection rate (89.2% vs 76.3%; P  = 0.017), ypN0 rate (76.2% vs 48.5%; P  < 0.001), and higher rate of pathologic major response (33.3% vs 12.9%; P  = 0.001). In the FLX + CRT group, patients had lower rate of locoregional relapse (28.3% vs 50.7%; P  = 0.004). Patients with additional CRT had longer OS than those receiving FLX alone (57.8 vs 35.5 months; P  = 0.007). Conclusions Pathological results and survival data argue for interest in additional CRT. Prospective studies on an intention-to-treat basis are needed to confirm these results.