Aim: Supplementary functional information can contribute to assess response in targeted therapies. The aim of this study was to evaluate semi-automatic RECIST plus iodine uptake (IU) determination in melanoma metastases under BRAF inhibitor (vemurafenib) therapy using dual-energy computed tomography (DECT).
Methods: Nine patients with stage IV melanoma treated with a BRAF inhibitor were included. Contrast-enhanced DECT was performed before and twice after treatment onset. Changes in tumor size were assessed according to RECIST. Quantification of IU (absolute value for total IU (mg) and volume-normalized IU (mg/ml)) was based on semi-automatic tumor volume segmentation. The decrease compared with baseline was calculated.
Results: The mean change of RECIST diameter sum per patient was -47% at the first follow-up (FU), -56% at the second FU (P < 0.01). The mean normalized IU per patient was -21% at the first FU (P < 0.2) and -45% at the second FU (P < 0.01). Total IU per patient, combining both normalized IU and volume, showed the most pronounced decrease: -89% at the first FU and -90% at the second FU (P < 0.01).
Conclusion: Semi-automatic RECIST plus IU quantification in DECT enables objective, easy and fast parameterization of tumor size and contrast medium uptake, thus providing 2 complementary pieces of information for response monitoring applicable in daily routine.
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http://dx.doi.org/10.1102/1470-7330.2013.0031 | DOI Listing |
Eur Radiol
November 2024
Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
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.
Mol Imaging Biol
April 2024
European Neuroendocrine Tumor Society (ENETS) Center of Excellence, NET Zentrum, University Hospital Würzburg, 97080, Würzburg, Germany.
Background: Gastro-entero-pancreatic neuroendocrine carcinomas (GEP-NECs) are an aggressive subgroup of neuroendocrine neoplasms (NENs). In patients affected with NEN, there is a growing body of evidence that increased C-X-C motif chemokine receptor (CXCR4) expression is linked to decreasing overall survival (OS) in an ex-vivo setting. Thus, we aimed to determine whether the in-vivo-derived CXCR4-directed whole-body PET signal can also determine GEP-NEC patients with shorter OS.
View Article and Find Full Text PDFAcad Radiol
August 2024
Department of Radiology, Massachusetts General Hospital and the Harvard Medical School, Boston, Massachusetts, USA (L.M., F.H., V.M., G.J.H., M.K.K., S.R.D.).
Rationale And Objectives: To assess differences in radiomics derived from semi-automatic segmentation of liver metastases for stable disease (SD), partial response (PR), and progressive disease (PD) based on RECIST1.1 and to assess if radiomics alone at baseline can predict response.
Materials And Methods: Our IRB-approved study included 203 women (mean age 54 ± 11 years) with metastatic liver disease from breast cancer.
Bull Cancer
March 2023
Institut Paoli Calmettes, Department of Radiology, 232, boulevard Sainte Marguerite, 13009 Marseille, France; Aix-Marseille University, Jardin du Pharo, 58, boulevard Charles Livon, 13007 Marseille, France.
Background: Neuroendocrine tumors (NETs) belong to a rare family of tumors whose incidence has increased significantly over the past 50 years.
Purpose: To evaluate the prognostic value of volumetric arterial enhancement (VAE) on baseline magnetic resonance imaging (MRI) for patients with neuroendocrine liver metastasis (NELM) treated using transarterial chemoembolization (TACE).
Material And Methods: Between October 2012 and December 2018, VAE in 37 patients was measured with a semi-automatic volume of Interest (VOI) on subtracted T1 sequence in the arterial phase.
Front Immunol
January 2023
Huaxi MR Research Center, Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Objective: To explore multi-aspect radiologic assessment of immunotherapy response in intracranial malignancies based on a semi-automatic segmentation technique, and to explore volumetric thresholds with good performance according to RECIST 1.1 thresholds.
Methods: Patients diagnosed with intracranial malignancies and treated with immunotherapy were included retrospectively.
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