Risk factors for emergency surgery for diverticulitis: A retrospective multicentric French study at 41 hospitals.

BACKGROUND: The observed increase in the incidence of complicated diverticulitis may lead to the performance of more emergency surgeries. This study aimed to assess the rate and risk factors of emergency surgery for sigmoid diverticulitis. METHOD: The primary outcomes were the rate of emergency surgery for sigmoid diverticulitis and its associated risk factors. The urgent or elective nature of the surgical intervention was provided by the surgeon and in accordance with the indication for surgical treatment. A mixed logistic regression with a random intercept after multiple imputations by the chained equation was performed to consider the influence of missing data on the results. RESULTS: Between 2010 and 2021, 6,867 patients underwent surgery for sigmoid diverticulitis in the participating centers, of which one-third (n = 2317) were emergency cases. In multivariate regression analysis with multiple imputation by chained equation, increasing age, body mass index <18.5 kg/m2, neurologic and pulmonary comorbidities, use of anticoagulant drugs, immunocompromised status, and first attack of sigmoid diverticulitis were independent risk factors for emergency surgery. The likelihood of emergency surgery was significantly more frequent after national guidelines, which were implemented in 2017, only in patients with a history of sigmoid diverticulitis attacks. CONCLUSION: The present study highlights a high rate (33%) of emergency surgery for sigmoid diverticulitis in France, which was significantly associated with patient features and the first attack of diverticulitis.

Nationwide Audit of Postoperative Mortality and Complications After Digestive Cancer Surgery: Will New Legal Thresholds be Sufficient?

BACKGROUND: French policymakers recently chose to regulate high-risk digestive cancer surgery (DCS). A minimum of five cases per year should be performed for each of the following types of curative cancer surgery: esophagus/esogastric junction (ECS), stomach (GCS), liver (LCS, metastasis included), pancreas (PCS), and rectum (RCS). This study aimed to evaluate the hypothetical beneficial effects of the new legal minimal volume thresholds on the rates of 90-day postoperative mortality (90POM) for each high-risk DCS. METHODS: This nationwide observational population-based cohort study used data extracted from the French National Health Insurance Database from 1 January 2015-31 December 2017. Mixed-effects logistic regression models were performed to estimate the independent effect of hospital volume. RESULTS: During the study period, 61,169 patients (57.1 % male, age 69.7 ±12.2 years) underwent high-risk DCS including ECS (n = 4060), GCS (n = 5572), PCS (n = 8598), LCS (n = 10,988), and RCS (n = 31,951), with 90POM of 6.6 %, 6.9 %, 6.0 %, 5.2 %, and 2.9 %, respectively. For hospitals fulfilling the new criteria, 90POM was lower after adjustment only for LCS (odds ratio [OR],15.2; 95 % confidence interval [CI], 9.5-23.2) vs OR, 7.6; 95 % CI, 5.2-11.0; p < 0.0001) and PCS (OR, 3.6; 95 % CI, 1.7-7.6 vs OR, 2.1; 95 % CI, 1.0-4.4; p<0.0001). With higher thresholds, all DCSs showed a lower adjusted risk of 90POM (e.g., OR, 0.38; 95 % CI, 0.28-0.51) for PCS of 40 or higher. CONCLUSION: Based on retrospective data, thresholds higher than those promulgated would better improve the safety of high-risk DCS. New policies aiming to further centralize high-risk DCS should be considered, associated with a clear clinical pathway of care for patients to improve accessibility to complex health care in France.

Improving abdominal image segmentation with overcomplete shape priors.

The extraction of abdominal structures using deep learning has recently experienced a widespread interest in medical image analysis. Automatic abdominal organ and vessel segmentation is highly desirable to guide clinicians in computer-assisted diagnosis, therapy, or surgical planning. Despite a good ability to extract large organs, the capacity of U-Net inspired architectures to automatically delineate smaller structures remains a major issue, especially given the increase in receptive field size as we go deeper into the network. To deal with various abdominal structure sizes while exploiting efficient geometric constraints, we present a novel approach that integrates into deep segmentation shape priors from a semi-overcomplete convolutional auto-encoder (S-OCAE) embedding. Compared to standard convolutional auto-encoders (CAE), it exploits an over-complete branch that projects data onto higher dimensions to better characterize anatomical structures with a small spatial extent. Experiments on abdominal organs and vessel delineation performed on various publicly available datasets highlight the effectiveness of our method compared to state-of-the-art, including U-Net trained without and with shape priors from a traditional CAE. Exploiting a semi-overcomplete convolutional auto-encoder embedding as shape priors improves the ability of deep segmentation models to provide realistic and accurate abdominal structure contours.

From early risk to 1-year mortality: a comprehensive assessment of postoperative venous thromboembolism in upper gastrointestinal cancer patients - a nationwide cohort study.

BACKGROUND: Venous thromboembolism (VTE) is a well-recognized complication following gastrointestinal cancer surgery, particularly early postoperatively. The incidence and risk factors of VTE within 1-year after esophageal (including esophago-gastric junction) (ECS) and gastric (GCS) cancer surgeries, and especially its impact on 1-year global mortality, are yet under-explored. METHODS: This nationwide observational population-based cohort study used data extracted from all patients undergoing ECS and GCS in France between 1 January 2015 and 31 December 2017. Multivariate logistic regression was used to identify risk factors for 90 postoperative days (POD) VTE (OR 95% CI). Cox proportional hazards models investigated the impact of 1-year postoperative VTE on 1-year global mortality [HR (95% CI)]. RESULTS: During the study period, 8005 patients underwent ECS ( N =3429) or GCS ( N =4576) (31.8% female; 66.7±12.1 years old). Majority ( N =4951) of patients had preoperative treatment (chemotherapy or radiochemotherapy). Ninety POD incidence of VTE were 4.7% (ECS=6.2%) (GCS=3.6%) (44.7% during first hospitalization, 19.0% needing readmission, and 36.3% ambulatory management). Main risk factors were three and two field esophagectomy [3.6 (2.20-5.83) and 2.2 (1.68-3.0)], obesity [1.9 (1.40-2.58)] and history of VTE [5.1 (2.72-9.45)]. Late-onset VTE rates (occurring between the 6th and 12th month) represented 1.80 and 1.46% of the overall ECS and GCS groups. Patients with VTE within 1-year had higher risks of 1-year global mortality: (2.04 1.52; 2.73) and 2.71 (2.09; 3.51), respectively. CONCLUSION: Our extensive analysis of a nationwide database highlights the significant risk of postoperative VTE after ECS and GCS, persisting within 90 POD and up to 1-year. Crucially, a higher risk of global mortality within 1-year for patients experiencing early or late VTE was found. These findings could advocate for further research into extended prophylactic regimens, particularly for those most at risk.

Iatrogenic ureteral injury during colorectal surgery has a significant impact on patient outcomes: a French multicentric retrospective cohort study.

AIM: The long-term urological sequelae after iatrogenic ureteral injury (IUI) during colorectal surgery are not clearly known. The aims of this work were to report the incidence of IUI and to analyse the long-term consequences of urological late complications and their impact on oncological results of IUI occurring during colorectal surgery through a French multicentric experience (GRECCAR group). METHOD: All the patients who presented with IUI during colorectal surgery between 2010 and 2019 were retrospectively included. Patients with ureteral involvement needing en bloc resection, delayed ureteral stricture or noncolorectal surgery were not considered. RESULTS: A total of 202 patients (93 men, mean age 63 ± 14 years) were identified in 29 centres, corresponding to 0.32% of colorectal surgeries (n = 63 562). Index colorectal surgery was mainly oncological (n = 130, 64%). IUI was diagnosed postoperatively in 112 patients (55%) after a mean delay of 11 ± 9 days. Intraoperative diagnosis of IUI was significantly associated with shorter length of stay (21 ± 22 days vs. 34 ± 22 days, p < 0.0001), lower rates of postoperative hydronephrosis (2% vs. 10%, p = 0.04), anastomotic complication (7% vs. 22.5%, p = 0.002) and thromboembolic event (0% vs. 6%, p = 0.02) than postoperative diagnosis of IUI. Delayed chemotherapy because of IUI was reported in 27% of patients. At the end of the follow-up [3 ± 2.6 years (1 month-13 years)], 72 patients presented with urological sequalae (36%). Six patients (3%) required a nephrectomy. CONCLUSION: IUI during colorectal surgery has few consequences for the patients if recognized early. Long-term urological sequelae can occur in a third of patients. IUI may affect oncological outcomes in colorectal surgery by delaying adjuvant chemotherapy, especially when the ureteral injury is not diagnosed peroperatively.

Sensitivity of fecal immunochemical test and risk factors for interval colorectal cancer in a French population.

BACKGROUND: Colorectal cancer (CRC) screening using fecal immunochemical testing (FIT) aims to detect pre-symptomatic colorectal lesions and reduce CRC mortality. AIMS: The objectives of this study were to determine the FIT sensitivity for diagnosis of CRC, the impact of diagnostic circumstances on treatment and survival, and risk factors for interval cancer (IC). METHODS: This population-based study evaluated the 2016-2017 CRC screening campaign in Finistère, France. CRCs were classified according to diagnostic circumstances: screen-detected CRC (SD-CRC), CRC with delayed diagnosis, IC after negative FIT (FIT-IC), post-colonoscopy CRC, CRC in non-responders and CRC in the excluded population. RESULTS: This study included 909 CRCs: 248 SD-CRCs (6% of positive FIT) and 60 FIT-ICs (0.07% of negative FIT). The FIT sensitivity for CRC was 80.5% (CI95%: 76.1-84.9) at the threshold of 30 µg hemoglobin/g feces used in France. In multivariate analysis, proximal (OR:6.73) and rectal locations (OR:7.52) were associated with being diagnosed with FIT-IC rather than SD-CRC. The FIT positivity threshold maximizing the sum of sensitivity and specificity was found to be 17 µg/g, with 14 additional CRCs diagnosed compared to the current threshold. CONCLUSIONS: Our study confirms the good sensitivity of FIT. A decrease of the FIT detection threshold could optimize sensitivity.

Radiomics Approaches for the Prediction of Pathological Complete Response after Neoadjuvant Treatment in Locally Advanced Rectal Cancer: Ready for Prime Time?

In recent years, neoadjuvant therapy of locally advanced rectal cancer has seen tremendous modifications. Adding neoadjuvant chemotherapy before or after chemoradiotherapy significantly increases loco-regional disease-free survival, negative surgical margin rates, and complete response rates. The higher complete rate is particularly clinically meaningful given the possibility of organ preservation in this specific sub-population, without compromising overall survival. However, all locally advanced rectal cancer most likely does not benefit from total neoadjuvant therapy (TNT), but experiences higher toxicity rates. Diagnosis of complete response after neoadjuvant therapy is a real challenge, with a risk of false negatives and possible under-treatment. These new therapeutic approaches thus raise the need for better selection tools, enabling a personalized therapeutic approach for each patient. These tools mostly focus on the prediction of the pathological complete response given the clinical impact. In this article, we review the place of different biomarkers (clinical, biological, genomics, transcriptomics, proteomics, and radiomics) as well as their clinical implementation and discuss the most recent trends for future steps in prediction modeling in patients with locally advanced rectal cancer.

Real World Data for Pancreatic Adenocarcinoma from a Population-Based Study in France.

Pancreatic cancer is associated with high mortality rates, and most cases are diagnosed at advanced stages. This study aimed to evaluate the prognostic factors for survival in pancreatic adenocarcinoma. Data from the Finistere registry of digestive database were used in this analysis. This retrospective population-based study included 2117 patients with pancreatic adenocarcinoma diagnosed between 2005 and 2019. Cox regression was used to assess the impact of different prognostic factors. The overall median age was 74 (IQR 65.0−81.0). The majority of pancreatic adenocarcinoma 1120 (52.90%) occurred in the head of the pancreas. The type of surgical resection correlated with age (pancreaticoduodenectomy performed in 13.39% of patients aged under 65 years and only 1.49% of patients aged ≥ 80 years). For the entire cohort, 1-year mortality rate after diagnosis was 77.81%. Chemotherapy was associated with better survival for both operated (HR 0.17 95% CI 0.22; 0.64 p < 0.001) and unoperated patients (HR 0.41 95% CI 0.27; 0.61 p < 0.001). Palliative radiotherapy was associated with improved survival (HR 0.69 95% CI 0.56; 0.85 p < 0.001). Among operated patients, the presence of lung metastases (median 34.06; CI 20.06; 34.66) was associated with better survival compared with liver metastases (median 21.10; CI 18.10; 28.96), peritoneal carcinomatosis (median 11.00; CI 8.53; 14.63), or distant metastases (median 15.16; CI 12.66; 18.13) (p = 0.0001). Age, curative surgery, positive lymph nodes, chemotherapy, and palliative radiotherapy were corelated with overall survival. Surgical resection is the only potentially curative treatment, but less than a quarter of patients were eligible.

Predictors of Survival in Elderly Patients with Metastatic Colon Cancer: A Population-Based Cohort Study.

Oncological strategies in the elderly population are debated. The objective of this study was to determine the predictive factors of survival in patients aged 80 years and older with metastatic colon cancer. Data from four digestive tumour registry databases were used in this analysis. This population-based retrospective study included 1115 patients aged 80 years and older with stage IV colon adenocarcinoma diagnosed between 2007 and 2016. Cox regression was used to assess the impact of different prognostic factors. Age was significantly correlated with the surgical treatment (p < 0.001) but not with overall survival. Patients with a low comorbidity burden had better survival than patients with higher comorbidities scores (9.4 (0−123) versus 7.9 (0−115) months) (p = 0.03). Surgery was more common for proximal colon cancer (p < 0.001), but the location of the primary lesion was not correlated with improved survival (p = 0.07). Patients with lung metastases had a better prognosis than those with liver metastases (HR 0.56 95% CI 0.40, 0.77 p < 0.001); multiple organ involvement had the worst survival (HR 1.32 95% CI 1.15, 1.51 p < 0.001). Chemotherapy was associated with improved survival for both operated (HR 0.45 95% CI 0.35, 0.58 p < 0.001) and non-operated patients (HR 0.41 95% CI 0.34, 0.50 p < 0.001). The majority of patients receiving adjuvant treatment had a low comorbidity burden. In our study, the location of metastases but not the primary tumor location had an impact on overall survival. Low comorbidity burden, curative surgery, and chemotherapy had a significant advantage for elderly patients with metastatic colon cancer.

External Validation of a Radiomics Model for the Prediction of Complete Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer.

Objective: Our objective was to develop a radiomics model based on magnetic resonance imaging (MRI) and contrast-enhanced computed tomography (CE-CT) to predict pathological complete response (pCR) to neoadjuvant treatment in locally advanced rectal cancer (LARC). Material: All patients treated for a LARC with neoadjuvant CRT and subsequent surgery in two separate institutions between 2012 and 2019 were considered. Both pre-CRT pelvic MRI and CE-CT were mandatory for inclusion. The tumor was manually segmented on the T2-weighted and diffusion axial MRI sequences and on CE-CT. In total, 88 radiomic parameters were extracted from each sequence using the Miras© software, with a total of 822 features by patient. The cohort was split into training (Institution 1) and testing (Institution 2) sets. The ComBat and Synthetic Minority Over-sampling Technique (SMOTE) approaches were used to account for inter-institution heterogeneity and imbalanced data, respectively. We selected the most predictive characteristics using Spearman's rank correlation and the Area Under the ROC Curve (AUC). Five pCR prediction models (clinical, radiomics before and after ComBat, and combined before and after ComBat) were then developed on the training set with a neural network approach and a bootstrap internal validation (n = 1000 replications). A cut-off maximizing the model's performance was defined on the training set. Each model was then evaluated on the testing set using sensitivity, specificity, balanced accuracy (Bacc) with the predefined cut-off. Results: Out of the 124 included patients, 14 had pCR (11.3%). After ComBat harmonization, the radiomic and the combined models obtained a Bacc of 68.2% and 85.5%, respectively, while the clinical model and the pre-ComBat combined achieved respective Baccs of 60.0% and 75.5%. Conclusions: After correction of inter-site variability and imbalanced data, addition of radiomic features enhances the prediction of pCR after neoadjuvant CRT in LARC.

Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.

OBJECTIVES: To assess the value of contrast-enhanced (CE) diagnostic CT scans characterized through radiomics as predictors of recurrence for patients with stage II and III colorectal cancer in a two-center context. MATERIALS AND METHODS: This study included 193 patients diagnosed with stage II and III colorectal adenocarcinoma from 1 July 2008 to 15 March 2017 in two different French University Hospitals. To compensate for the variability in two-center data, a statistical harmonization method Bootstrapped ComBat (B-ComBat) was used. Models predicting disease-free survival (DFS) were built using 3 different machine learning (ML): (1) multivariate regression (MR) with 10-fold cross-validation after feature selection based on least absolute shrinkage and selection operator (LASSO), (2) random forest (RF), and (3) support vector machine (SVM), both with embedded feature selection. RESULTS: The performance for both balanced and 95% sensitivity models was systematically higher after our proposed B-ComBat harmonization compared to the use of the original untransformed data. The most clinically relevant performance was achieved by the multivariate regression model combining a clinical variable (postoperative chemotherapy) with two radiomics shape descriptors (compactness and least axis length) with a BAcc of 0.78 and an MCC of 0.6 associated with a required sensitivity of 95%. The resulting stratification in terms of DFS was significant (p = 0.00021), especially compared to the use of unharmonized original data (p = 0.17). CONCLUSIONS: Radiomics models derived from contrast-enhanced CT could be trained and validated in a two-center cohort with a good predictive performance of recurrence in stage II et III colorectal cancer patients. KEY POINTS: • Adjuvant therapy decision in colorectal cancer can be a challenge in medical oncology. • Radiomics models, derived from diagnostic CT, trained and validated in a two-center cohort, could predict recurrence in stage II and III colorectal cancer patients. • Identifying patients with a low risk of recurrence, these models could facilitate treatment optimization and avoid unnecessary treatment.

What Is the Optimal Elective Colectomy for Splenic Flexure Cancer: End of the Debate? A Multicenter Study From the GRECCAR Group With a Propensity Score Analysis.

BACKGROUND: The optimal elective colectomy in patients with splenic flexure tumor is debated. OBJECTIVE: This study aimed to compare splenic flexure colectomy, left hemicolectomy, and subtotal colectomy for perioperative, histological, and survival outcomes in this setting. DESIGN: This is a multicenter retrospective cohort study. SETTING: Patients diagnosed with nonmetastatic splenic flexure tumor who underwent elective colectomy were included. PATIENTS: Between 2006 and 2014, 313 consecutive patients were operated on in 15 French Research Group of Rectal Cancer Surgery centers. INTERVENTIONS: Propensity score weighting was performed to compare short- and long-term outcomes. MAIN OUTCOME MEASURES: The primary end point was disease-free survival. Secondary end points included overall survival, quality of surgical resection, overall postoperative morbidity, surgical postoperative morbidity, and rate of anastomotic leakage. RESULTS: The most performed surgery was splenic flexure colectomy (59%), followed by subtotal colectomy (23%) and left hemicolectomy (18%). Subtotal colectomy was more often performed by laparotomy compared with splenic flexure colectomy and left hemicolectomy (93% vs 61% vs 56%, p < 0.0001), and was associated with a longer operative time (260 minutes (120-460) vs 180 minutes (68-440) vs 217 minutes (149-480), p < 0.0001). Postoperative morbidity was similar between the 3 groups, but the median length of hospital stay was significantly longer after subtotal colectomy (13 days (5-56) vs 10 (4-175) vs 9 (4-55), p = 0.0007). The median number of harvested lymph nodes was significantly higher after subtotal colectomy compared with splenic flexure colectomy and left hemicolectomy (24 (8-90) vs 15 (1-81) vs 16 (3-52), p < 0.0001). The rate of stage III disease and the number of patients treated by adjuvant chemotherapy were similar between the 3 groups. There was no difference in terms of disease-free survival and overall survival between the 3 procedures. LIMITATIONS: The study was limited by its retrospective design. CONCLUSIONS: In the elective setting, splenic flexure colectomy is safe and oncologically adequate for patients with nonmetastatic splenic flexure tumor. However, given the oncological clearance after splenic flexure colectomy, it seems that the debate is not completely closed. See Video Abstract at http://links.lww.com/DCR/B703. CUL ES LA COLECTOMA ELECTIVA PTIMA PARA EL CNCER DE NGULO ESPLNICO FIN DEL DEBATE UN ESTUDIO MULTICNTRICO DEL GRUPO GRECCAR CON UN ANLISIS DE PUNTAJE DE PROPENSIN: ANTECEDENTES:La colectomía electiva óptima en pacientes con tumores del ángulo esplénico continua en debate.OBJETIVO:Comparar la colectomía de ángulo esplénico, hemicolectomía izquierda y colectomía subtotal para los resultados perioperatorios, histológicos y de supervivencia en este escenario.DISEÑO:Estudio de cohorte retrospectivo multicéntrico.ESCENARIO:Se incluyeron pacientes diagnosticados de tumores del ángulo esplénico no metastásicos que se sometieron a colectomía electiva.PACIENTES:Entre 2006 y 2014, 313 pacientes consecutivos fueron intervenidos en 15 centros GRECCAR.INTERVENCIONES:Se realizó una ponderación del puntaje de propensión para comparar los resultados a corto y largo plazo.PRINCIPALES MEDIDAS DE RESULTADO:El criterio de valoración principal fue la supervivencia libre de enfermedad. Los criterios de valoración secundarios incluyeron la supervivencia general, la calidad de la resección quirúrgica, la morbilidad posoperatoria general, la morbilidad posoperatoria quirúrgica y la tasa de fuga anastomótica.RESULTADOS:La cirugía más realizada fue la colectomía del ángulo esplénico (59%), seguida de la colectomía subtotal (23%) y la hemicolectomía izquierda (18%). La colectomía subtotal se realizó con mayor frecuencia mediante laparotomía en comparación con la colectomía de ángulo esplénico y la hemicolectomía izquierda (93% frente a 61% frente a 56%, p <0.0001), y se asoció con un tiempo quirúrgico más prolongado (260 min [120-460] frente a 180 min [68-440] frente a 217 min [149-480], p <0.0001). La morbilidad posoperatoria fue similar entre los tres grupos, pero la duración media de la estancia hospitalaria fue significativamente más prolongada después de la colectomía subtotal (13 días [5-56] frente a 10 [4-175] frente a 9 [4-55], p = 0.0007). La mediana del número de ganglios linfáticos extraídos fue significativamente mayor después de la colectomía subtotal en comparación con la colectomía del ángulo esplénico y la hemicolectomía izquierda (24 [8-90] frente a 15 [1-81] frente a 16 [3-52], p <0.0001). La tasa de enfermedad en estadio III y el número de pacientes tratados con quimioterapia adyuvante fueron similares entre los 3 grupos. No hubo diferencias en términos de supervivencia libre de enfermedad y supervivencia general entre los 3 procedimientos.LIMITACIONES:El estudio estuvo limitado por su diseño retrospectivo.CONCLUSIONES:En un escenario electivo, la colectomía del ángulo esplénico es segura y oncológicamente adecuada para pacientes con tumores del ángulo esplénico no metastásicos. Sin embargo, dado el aclaramiento oncológico tras la colectomía del ángulo esplénico, parece que el debate no está completamente cerrado. Consulte Video Resumen en http://links.lww.com/DCR/B703.

Ostomy prevalence and survival in elderly patients with stage III and IV rectal cancer.

AIM: Oncological strategies in the elderly population are often debated. The objective of this study was to investigate the survival rates and prevalence of ostomy in elderly patients operated on for stage III and IV rectal cancers. METHODS: This retrospective multicentric population-based study included 151 patients aged ≥75 years with stage III and IV rectal adenocarcinoma who underwent surgery between 2007 and 2014. Multivariable logistic regression was used to assess the impact of different prognostic factors. RESULTS: The median age of the patients was 81 years (range: 75-97 years) with 40 patients >85 years of age. Age was significantly correlated with overall survival (OS) in both stage III and IV cancers (P < 0.001). For patients ≥80 years the presence of comorbid conditions was associated with a lower chance of survival (P = 0.02). A digestive stoma was created in 67 (76.1%) patients with stage III cancer and 26 (29.54%) had a stoma reversal. A palliative derivative stoma was performed in half of patients with stage IV cancer. Adjuvant chemotherapy was independently associated with improved 5-year OS (P < 0.001). CONCLUSIONS: Age, comorbidities and adjuvant chemotherapy were independent predictors for OS. Resection of rectal tumors in fit elderly patients should be promoted; however, patients should be aware of the high risk of stoma. Geriatr Gerontol Int 2021; 21: 670-675.

Radiogenomics in Colorectal Cancer.

The steady improvement of high-throughput technologies greatly facilitates the implementation of personalized precision medicine. Characterization of tumor heterogeneity through image-derived features-radiomics and genetic profile modifications-genomics, is a rapidly evolving field known as radiogenomics. Various radiogenomics studies have been dedicated to colorectal cancer so far, highlighting the potential of these approaches to enhance clinical decision-making. In this review, a general outline of colorectal radiogenomics literature is provided, discussing the current limitations and suggested further developments.

Prognostic factors for stage III colon cancer in patients 80 years of age and older.

PURPOSE: Oncological strategies in the elderly population are debated. The objective of this study was to assess the factors predictive of poor prognosis in elderly patients with stage III colon cancer. METHODS: A retrospective review of demographic, pathologic, treatment, and outcome data from 308 patients with stage III colon adenocarcinoma who had undergone surgery between 2007 and 2014 was conducted. A proportional hazards model was used to assess the association of prognostic factors with disease-free survival (DFS) and overall survival (OS). RESULTS: The 5-year survival rate was 34.4% (95% CI 27.1-39.8%) and Charlson comorbidity index was a significant predictor of death (p < 0.01). The presence of perineural invasion (p = 0.03) and incomplete resection (p < 0.001) were significantly correlated with OS. The postoperative (30 days) mortality rate was 11.7%. Adjuvant chemotherapy was significantly associated with better OS (p < 0.001) independently of the regimens. Disease-free survival was significantly correlated with adjuvant chemotherapy (HR 0.63, 95% CI: 0.42-0.97, p = 0.034), Charlson comorbidity index (CCI 5; HR 1.61, 95% CI: 1.05-2.48, p = 0.029), and venous and/or perineural invasion (HR 1.54, 95% CI: 1.03-2.29, p = 0.035). CONCLUSION: Age, comorbidities, tumor histology, and adjuvant chemotherapy were independent predictors of prognosis in patients with stage III colon cancer. These data can be used to identify elderly patients with poor prognosis and to design future tailored randomized clinical trials. TRIAL REGISTRATION: ClinicalTrial.gov No. NCT04526314. Date of registration 25 August 2020.

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

This short review aims at providing the readers with an update on the current status, as well as future perspectives in the quickly evolving field of radiomics applied to the field of PET/CT imaging. Numerous pitfalls have been identified in study design, data acquisition, segmentation, features calculation and modeling by the radiomics community, and these are often the same issues across all image modalities and clinical applications, however some of these are specific to PET/CT (and SPECT/CT) imaging and therefore the present paper focuses on those. In most cases, recommendations and potential methodological solutions do exist and should therefore be followed to improve the overall quality and reproducibility of published studies. In terms of future evolutions, the techniques from the larger field of artificial intelligence (AI), including those relying on deep neural networks (also known as deep learning) have already shown impressive potential to provide solutions, especially in terms of automation, but also to maybe fully replace the tools the radiomics community has been using until now in order to build the usual radiomics workflow. Some important challenges remain to be addressed before the full impact of AI may be realized but overall the field has made striking advances over the last few years and it is expected advances will continue at a rapid pace.

Are colorectal cancer patients at risk for COVID-19 infection during the postoperative period? The Covid-GRECCAR study.

INTRODUCTION: During the COVID-19 pandemic, cancer patients have been regarded as having a high risk of severe events if they are infected with SARS-CoV-2, particularly those under medical or surgical treatment. The aim of this study was to assess the posttreatment risk of infection by SARS-CoV-2 in a population of patients operated on for colorectal cancer 3 months before the COVID-19 outbreak and who after hospitalization returned to an environment where the virus was circulating. MATERIALS AND METHODS: This French, multicenter cohort study included consecutive patients undergoing elective surgery for colorectal cancer between January 1 and March 31, 2020, at 19 GRECCAR hospitals. The outcome was the rate of COVID-19 infection in this group of patients who were followed until June 15, 2020. RESULTS: This study included 448 patients, 262 male (58.5%) and 186 female (41.5%), who underwent surgery for colon cancer (n = 290, 64.7%), rectal cancer (n = 155, 34.6%), or anal cancer (n = 3, 0.7%). The median age was 68 years (19-95). Comorbidities were present in nearly half of the patients, 52% were at least overweight, and the median BMI was 25 (12-42). At the end of the study, 448 were alive. Six patients (1.3%) developed COVID-19 infection; among them, 3 were hospitalized in the conventional ward, and none of them died. CONCLUSION: The results are reassuring, with only a 1.3% infection rate and no deaths related to COVID-19. We believe that we can operate on colorectal cancer patients without additional mortality from COVID-19, applying all measures aimed at reducing the risk of infection.

Prognostic impact of cancer stem cell markers ABCB1, NEO1 and HIST1H2AE in colorectal cancer.

Colon cancer develops according to a defined temporal sequence of genetic and epigenetic molecular events that may primarily affect cancer stem cells. In an attempt to identify new markers of such cells that would help predict patient outcome, we performed a comparative transcriptome analysis of colon cancer stem cells and normal colon stem cells. We identified 162 mRNAs, either over- or under-expressed. According to Cox multivariate regression with our set of 83 colorectal cancers, low expression of ABCB1, NEO1, tumor size and the presence of distant metastases were predictive factors for overall survival. Combined expression of ABCC1 and NEO1 was a significant predictor for overall survival in our cohort, which was confirmed by external validation in 221 colorectal cancers from the Cancer Genome Atlas (TCGA) portal. Tumor size, lymph node involvement and HIST1H2AE expression were also independently correlated with disease-free survival. Taken together, our results suggest that molecular markers of colorectal cancers ABCB1, NEO1 and HIST1H2AE are prognostic factors in colorectal cancer patients. It can be proposed that surveying expression of these marker genes should help better characterizing CRC prognosis, and help selecting the best therapeutic options.

Evaluation of KRAS, NRAS and BRAF mutational status and microsatellite instability in early colorectal carcinomas invading the submucosa (pT1): towards an in-house molecular prognostication for pathologists?

AIM: We aimed to study the prognostic value of KRAS, NRAS, BRAF mutations and microsatellite stable (MSS)/instable (MSI) in the field of colorectal cancer invading the submucosa (ie, pT1 colorectal cancer (CRC)). METHODS: We led a case-control study in tumour samples from 60 patients with pT1 CRC with (20 cases) and without (40 cases) metastatic evolution (5 years of follow-up) which were analysed for KRAS, NRAS, BRAF mutations (Idylla testing and next generation sequencing, NGS) and MSS/MSI status (Idylla testing and expression of mismatch repair (MMR) proteins using immunohistochemistry). RESULTS: KRAS mutations were encountered in 11/20 (55%) cases and 21/40 (52.5%) controls (OR=1.11 (0.38 to 3.25), p=0.8548), NRAS mutations in 1/20 (5%) cases and 3/40 (7.5%) controls (OR=3.08 (0.62 to 15.39), p=0.1698) and BRAF mutations in 3/20 (15%) cases and 6/40 (15%) controls (OR=1.00 (0.22 to 4.5), p=1.00). A MSI status was diagnosed in 3/20 (15%) cases and 5/40 (12.5%) controls (OR=1.2353 (0.26 to 5.79), p=0.7885). Beyond the absence of significant association between the metastatic evolution and any of the studied molecular parameters, we observed a very good agreement between methods analysing KRAS, NRAS and BRAF mutations (Kappa value of 0.849 (0.748 to 0.95) between Idylla and NGS) and MSS/MSI (Idylla)-proficient MMR/deficient MMR (immunohistochemistry) status (Kappa value of 1.00). CONCLUSION: Although being feasible using the fully automated Idylla method as well as NGS, the molecular testing of KRAS, NRAS, BRAF and MSS/MSI status does not seem useful for prognostic purpose in the field of pT1 CRC.