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.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
Personalized medicine aims at offering optimized treatment options and improved survival for cancer patients based on individual variability. The success of precision medicine depends on robust ...biomarkers. Recently, the requirement for improved non-biologic biomarkers that reflect tumor biology has emerged and there has been a growing interest in the automatic extraction of quantitative features from medical images, denoted as radiomics. Radiomics as a methodological approach can be applied to any image and most studies have focused on PET, CT, ultrasound, and MRI. Here, we aim to present an overview of the radiomics workflow as well as the major challenges with special emphasis on the use of multiparametric MRI datasets. We then reviewed recent studies on radiomics in the field of pelvic oncology including prostate, cervical, and colorectal cancer.
Background
High center procedural volume has been shown to reduce postoperative mortality (POM); however, the cause of POM has been poorly studied previously. The aim of this study was to define the ...pattern of POM and major morbidity in relation to center procedural volume.
Methods
Data from 2,944 consecutive adult patients undergoing esophagectomy for esophageal cancer in 30 centers between 2000 and 2010 were retrospectively collected. Data between patients who suffered 30-day POM were compared with those who did not. Factors associated with POM were identified using binary logistic regression, with propensity matching to compare low- (LV) and high-volume (HV) centers.
Results
The 30-day and in-hospital POM rates were 5.0 and 7.3 %, respectively. Pulmonary complications were the most common, affecting 38.1 % of patients, followed by surgical site infection (15.5 %), cardiovascular complications (11.2 %), and anastomotic leak (10.2 %). Factors that were independently associated with 30-day POM included American Society of Anesthesiologists grade IV, LV center, anastomotic leak, pulmonary, cardiovascular and neurological complications, and R2 resection margin status. Surgical complications preceded POM in approximately 30 % of patients compared to medically-related causes in 68 %. Propensity-matched analysis demonstrated LV centers were significantly associated with increased 30-day POM, and POM secondary to anastomotic leak, and pulmonary- and cardiac-related causes.
Conclusions
The results of this large, multicenter study provide further evidence to support the centralization of esophagectomy to HV centers, with a lower rate of morbidity and better infrastructure to deal with complications following major surgery preventing further mortality.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
The therapeutic management of patients with endoscopic resection of colorectal cancer invading the submucosa (i.e. pT1 CRC) depends on the balance between the risk of cancer relapse and the risk of ...surgery-related morbidity and mortality. The aim of our study was to report on the histopathological risk factors predicting lymph node metastases and recurrences in an exhaustive case series comprising every pT1 CRC (of adenocarcinoma subtype only) diagnosed in Finistère (France) during 5-years. For 312 patients with at least 46 months follow-up included in the digestive cancers registry database, histopathological factors required for risk stratification in pT1 CRC were reviewed. Patients were treated by endoscopic resection only (51 cases), surgery only (138 cases), endoscopic resection followed by surgery (102 cases) or transanal resection (21 cases). Lymph node metastases were diagnosed in 19 patients whereas 15 patients had an extra-nodal recurrence (7 local recurrences only, 4 distant metastases only and 4 combining local and distant recurrences). Four patients with distant metastases died of their cancer. Poor tumor differentiation, vascular invasion and high grade tumor budding on HES slides were notably identified as strong risk-factors of lymph node metastases but the prediction of extra-nodal recurrences (local, distant and sometimes fatal) was less obvious, albeit it was more frequent in patients treated by transanal resection than with other treatment strategies. Beyond good performances in predicting lymph node metastases and guiding therapeutic decision in patients with pT1 CRC, our study points that extra-nodal recurrence of cancer is more difficult to predict and requires further investigations.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Radiogenomics in Colorectal Cancer Badic, Bogdan; Tixier, Florent; Cheze Le Rest, Catherine ...
Cancers,
02/2021, Volume:
13, Issue:
5
Journal Article
Peer reviewed
Open access
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.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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
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EMUNI, FZAB, GEOZS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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