Publications by authors named "Verhoef C"

Introduction: Data regarding the incidence and outcomes of mismatch repair deficient (dMMR) rectal cancer is limited. This study characterizes dMMR rectal cancer patients, comparing response after neoadjuvant radiotherapy and oncological outcomes to mismatch repair proficient (pMMR) rectal cancer patients.

Method: A retrospective cross-sectional cohort study was conducted in 67 Dutch centers.

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Aim: To retrospectively analyse the short- and long-term oncological, morbidity and mortality outcomes in patients diagnosed with acute right-sided obstructing colon cancer. Patients who underwent pre-optimisation prior to the oncological resection were compared to patients who did not undergo pre-optimisation.

Methods: All consecutive patients with right-sided obstructing colon cancer, either with a high clinical suspicion or confirmed diagnosis by histological analysis, who underwent curative-intent treatment between March 2013 and December 2020 were included.

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  • Metastatic behavior in liver-metastatic colorectal cancer (CRC) varies significantly based on histopathological growth patterns (HGPs), influencing treatment outcomes, with desmoplastic HGP being linked to favorable and replacement HGP to unfavorable outcomes.
  • Understanding cellular and molecular factors of these growth patterns is crucial for improving cancer biology knowledge and designing effective clinical trials.
  • Analysis of tumor tissue reveals that HGPs are influenced by epigenetic factors rather than specific gene mutations, with distinct gene expression differences reflecting cancer biology themes, such as inflammation for desmoplastic and cell proliferation for replacement patterns.
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Up to 30% of adrenocortical carcinoma (ACC) patients have metastasised disease upon initial presentation, and systemic treatments currently fail to sufficiently improve survival. Palliative primary tumour resection can be considered for symptomatic relief, but its potential survival benefit remains a topic of debate. This systematic review therefore aims to assess the effect of primary tumour resection on overall survival in patients with metastatic ACC.

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  • A network analysis revealed a group photo of Rebekka Aleida Biegel and two friends with Albert Einstein at a tea party in Zurich, dated June 30, 1913, using advanced techniques like AI and OSINT.
  • Researchers identified the women and a man in the photo, uncovering their significant roles in contributing to Einstein's work on relativity, highlighting their historical importance.
  • The study also solved long-standing mysteries surrounding the photographs, shedding light on a crucial period in scientific history and emphasizing the contributions of often-overlooked women in physics.
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Adrenal masses are being found more and more often over the years. Given the association of these masses with advancing age, the decision to perform surgery in older, sometimes asymptomatic patients presents a clinical dilemma. These patients are potentially more vulnerable to adverse postoperative outcomes due to increased frailty.

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Purpose: Three prospective observational studies (Italy, the Netherlands, France) on active surveillance (AS) in patients with extra-abdominal desmoid-type fibromatosis (DTF) support AS as a frontline approach. Identifying prognostic factors for the failure of AS will help determine the strategy. The aim of this study was to investigate the prognostic impact of clinical and molecular variables in a larger series.

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  • Patients with colorectal cancer and liver-only metastases showed improved outcomes when treated with FOLFOXIRI and bevacizumab compared to FOLFIRI and bevacizumab or with panitumumab, especially regarding progression-free survival and resection rates.
  • The CAIRO5 trial involved 530 patients with initially unresectable liver metastases from colorectal cancer, evaluated across numerous centers in the Netherlands and Belgium, focusing on different treatment combinations based on tumor genetics.
  • While more effective responses were observed with certain treatments, there was an increase in toxic side effects, particularly in specific genetic tumor variants like RAS/BRAFV600E.
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  • - Oesophageal cancer patients achieving a clinical complete response (CR) after neoadjuvant chemoradiotherapy (nCRT) may benefit from active surveillance; however, identifying true CRs is difficult due to a 40% regrowth rate in these patients.
  • - The study examined pre-treatment and post-treatment tissue samples to analyze the expression of several tumor markers (CEA, EpCAM, VEGF-α, EGFR, c-MET) through immunohistochemistry, aiming to find markers for potential near-infrared fluorescence imaging.
  • - Results showed high expression of EpCAM in adenocarcinomas and EGFR in squamous cell carcinomas, while neoadjuvant therapy did not alter the
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Background: Segmentations are crucial in medical imaging for morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in clinical workflow, while automatic segmentation generally performs sub-par.

Purpose: To develop a minimally interactive deep learning-based segmentation method for soft-tissue tumors (STTs) on CT and MRI.

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An overview of all liver-directed locoregional therapies, including surgical resection for melanoma liver metastases (MLMs), is provided. MLM patients are divided by their primary melanoma location; cutaneous, uvea (eye), and mucosal melanoma. If patients with isolated cutaneous MLMs are considered for surgical resection, treatment with systemic therapy should be part of the treatment course.

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Since the introduction of immune checkpoint inhibitors (ICIs) targeting PD-1 and CTLA-4 receptors, survival has improved significantly for patients with irresectable and metastatic skin cancer, including cutaneous squamous cell cancer and melanoma. However, systemic administration of these drugs is associated with immune related adverse events (irAEs), which can be severe, irreversible and even fatal. To reduce the risk of irAEs associated with systemic exposure to immunotherapeutic drugs, local administration of low doses could be considered.

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Background: Histopathological growth patterns are one of the strongest prognostic factors in patients with resected colorectal liver metastases. Development of an efficient, objective and ideally automated histopathological growth pattern scoring method can substantially help the implementation of histopathological growth pattern assessment in daily practice and research. This study aimed to develop and validate a deep-learning algorithm, namely neural image compression, to distinguish desmoplastic from non-desmoplastic histopathological growth patterns of colorectal liver metastases based on digital haematoxylin and eosin-stained slides.

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Introduction: Body composition evaluation can be used to assess patients' nutritional status to predict clinical outcomes. To facilitate reliable and time-efficient body composition measurements eligible for clinical practice, fully automated computed tomography segmentation methods were developed. The aim of this study was to evaluate automated segmentation by Data Analysis Facilitation Suite in an independent dataset.

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Introduction: Clear guidelines for colorectal lung metastasis (LM) treatment are not available. This study aimed to provide insight into the treatment strategies and efficacy of local and systemic therapy in patients with LM eligible for (potentially) curative treatment.

Methods: This was a retrospective study of patients with ≤5 LM discussed in two tertiary referral centers.

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  • A study validated a radiomics model that uses MRI imaging to differentiate between lipomas and atypical lipomatous tumors (ALTs), addressing challenges associated with traditional biopsy methods.
  • Three cohorts were analyzed: two for external validation from the US and UK and one for prospective validation from the Netherlands, utilizing automatic and interactive segmentation methods for tumor imaging.
  • The model demonstrated strong performance with area under the curve (AUC) scores ranging from 0.74 to 0.89, matching or exceeding the diagnostic abilities of expert radiologists.
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  • The study investigates the use of fluorescence imaging (FLI) to enhance the surgical identification of oral and laryngeal cancers (OSCC and LSCC) and papillary thyroid carcinoma (PTC), aiming to improve excision precision due to challenges in tumor delineation.
  • Six potential tumor-targeting markers were evaluated through immunohistochemical staining in various cancer samples, with integrin αvβ6 and EGFR showing significant overexpression in OSCC and LSCC, indicating their effectiveness as FLI targets.
  • The research suggests that although PTC shows lower expressions of these markers, the notable overexpression of VEGF-α and c-Met could also make them viable for improving
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The aim of the study is to assess whether indocyanine green (ICG) fluorescence can replace technetium in the preoperative detection of sentinel lymph nodes (SLN) from cutaneous melanoma. The current golden standard for SLN detection is the radioisotope technetium. A promising alternative is fluorescence imaging (FLI) using ICG.

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Introduction: Amidst the rising number of cancer survivors and personnel shortages, optimisation of follow-up strategies is imperative, especially since intensive follow-up does not lead to survival benefits. Understanding patient preferences and identifying the associated patient profiles is crucial. Coping style may be a key determinant in achieving this.

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Aim: Follow-up for colorectal cancer (CRC) necessitates regular monitoring of carcinoembryonic antigen (CEA) at the hospital. Capillary home-based blood collection, including minimally invasive techniques such as lancet sampling or an automated upper arm device (TAP-II), has the potential to replace a significant portion of hospital-based blood sampling, thereby enhancing self-reliance and quality of life. The objectives of this study were to assess the feasibility, reliability and preference for CEA blood collection.

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Background: This study aimed to assess the performance of currently available risk calculators in a cohort of patients with malignant peripheral nerve sheath tumors (MPNST) and to create an MPNST-specific prognostic model including type-specific predictors for overall survival (OS).

Methods: This is a retrospective multicenter cohort study of patients with MPNST from 11 secondary or tertiary centers in The Netherlands, Italy and the United States of America. All patients diagnosed with primary MPNST who underwent macroscopically complete surgical resection from 2000 to 2019 were included in this study.

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  • The study evaluated the prognostic significance of total tumor volume (TTV) in predicting early recurrence and overall survival in patients with colorectal liver metastases (CRLM) who received systemic therapy followed by local treatment.
  • Results showed that both baseline TTV and changes in TTV after treatment were significantly associated with early recurrence and overall survival, while conventional measures like RECIST1.1 did not show predictive value.
  • Findings were validated in an external patient cohort, confirming that TTV provides important prognostic information beyond traditional clinical factors for patients with initially unresectable CRLM.
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Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive soft-tissue tumors prevalent in neurofibromatosis type 1 (NF1) patients, posing a significant risk of metastasis and recurrence. Current magnetic resonance imaging (MRI) imaging lacks decisiveness in distinguishing benign peripheral nerve sheath tumors (BPNSTs) and MPNSTs, necessitating invasive biopsies. This study aims to develop a radiomics model using quantitative imaging features and machine learning to distinguish MPNSTs from BPNSTs.

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Background: Patients undergoing major oncological abdominal surgery are prone to postoperative complications, making early recognition crucial. Clinical deterioration is often preceded by changes in vital signs, which are typically measured thrice a day by a nurse. However, intermittent measurements may delay recognizing clinical deterioration.

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Background: Abdominal computed tomography (CT) is the standard imaging modality for detection and staging in patients with colorectal liver metastases (CRLM). Although liver magnetic resonance imaging (MRI) is superior to CT in detecting small lesions, guidelines are ambiguous regarding the added value of an additional liver MRI in the surgical workup of patients with CRLM. Therefore, this systematic review and meta-analysis aimed to evaluate the clinical added value of liver MRI in patients eligible for resection or ablation of CRLM based on CT.

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