Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT

Published on Sep 4, 2019in European Journal of Nuclear Medicine and Molecular Imaging7.081
· DOI :10.1007/S00259-019-04495-1
P. J. Brown1
Estimated H-index: 1
(Leeds Teaching Hospitals NHS Trust),
Jim Zhong5
Estimated H-index: 5
(Leeds Teaching Hospitals NHS Trust)
+ 5 AuthorsAndrew Scarsbrook8
Estimated H-index: 8
(University of Leeds)
Sources
Abstract
Purpose Incidence of anal squamous cell carcinoma (ASCC) is increasing, with curative chemoradiotherapy (CRT) as the primary treatment of non-metastatic disease. A significant proportion of patients have locoregional treatment failure (LRF), but distant relapse is uncommon. Accurate prognostication of progression-free survival (PFS) would help personalisation of CRT regimens. The study aim was to evaluate novel imaging pre-treatment features, to prognosticate for PFS in ASCC.
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Anal squamous cell carcinoma is an uncommon Human Papilloma Virus (HPV)‐related malignancy, the incidence of which has increased two‐ to four‐fold over the past three decades. Results from the first three phase III trials, performed in the 1990s (the largest being the ACT I trial in the UK), established concurrent mitomycin C (MMC), 5‐fluorouracil chemotherapy and radiotherapy (CRT) as the main primary treatment. Three subsequent trials (including ACT II in the UK, performed between 1998 and 200...
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The adoption of enterprise digital imaging, along with the development of quantitative imaging methods and the re-emergence of statistical learning, has opened the opportunity for more personalized cancer treatments through transformative data science research. In the last 5 years, accumulating evidence has indicated that noninvasive advanced imaging analytics (i.e., radiomics) can reveal key components of tumor phenotype for multiple lesions at multiple time points over the course of treatment....
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Purpose An ever-growing number of predictive models used to inform clinical decision making have included quantitative, computer-extracted imaging biomarkers, or “radiomic features.” Broadly generalizable validity of radiomics-assisted models may be impeded by concerns about reproducibility. We offer a qualitative synthesis of 41 studies that specifically investigated the repeatability and reproducibility of radiomic features, derived from a systematic review of published peer-reviewed literatur...
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Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here, we present a free, multiplatform, and easy-to-use freeware called LIFEx, which enables the calculation of conventional, histogram-based, textural, and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities. The application does not require any programming skills and ...
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#2Sarah Boughdad (Curie Institute)H-Index: 4
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98 CitationsSource
#1Timo M. Deist (UM: Maastricht University)H-Index: 13
#2Frank J. W. M. Dankers (UM: Maastricht University)H-Index: 8
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Author(s): Deist, Timo M; Dankers, Frank JWM; Valdes, Gilmer; Wijsman, Robin; Hsu, I-Chow; Oberije, Cary; Lustberg, Tim; van Soest, Johan; Hoebers, Frank; Jochems, Arthur; El Naqa, Issam; Wee, Leonard; Morin, Olivier; Raleigh, David R; Bots, Wouter; Kaanders, Johannes H; Belderbos, Jose; Kwint, Margriet; Solberg, Timothy; Monshouwer, Rene; Bussink, Johan; Dekker, Andre; Lambin, Philippe | Abstract: PURPOSE:Machine learning classification algorithms (classifiers) for prediction of treatment respo...
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#2Fanny Orlhac (Université Paris-Saclay)H-Index: 16
Last. Frédérique Frouin (Université Paris-Saclay)H-Index: 25
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Few methodological studies regarding widely used textural indices robustness in MRI have been reported. In this context, this study aims to propose some rules to compute reliable textural indices from multimodal 3D brain MRI. Diagnosis and post-biopsy MR scans including T1, post-contrast T1, T2 and FLAIR images from thirty children with diffuse intrinsic pontine glioma (DIPG) were considered. The hybrid white stripe method was adapted to standardize MR intensities. Sixty textural indices were th...
16 CitationsSource
#1Rebecca Fish (University of Manchester)H-Index: 5
#2Caroline Sanders (University of Manchester)H-Index: 32
Last. Paula R Williamson (University of Liverpool)H-Index: 89
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AIM: Six Phase III randomized trials have determined the effectiveness of chemoradiotherapy as primary treatment for anal squamous cell carcinoma (ASCC), but outcomes reported in these trials varied widely, hindering evidence synthesis. To improve reporting in all future trials, we aim to develop a core outcomes set (COS). As the first stage of COS development, we undertook a systematic review to summarize the outcomes reported in studies evaluating chemoradiotherapy for ASCC. METHOD: Systematic...
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PURPOSE To examine the prognostic significance of pretreatment 2-deoxy-2-[18F]fluoro-D-glucose ([18F]-FDG) positron emission tomography (PET)-based radiomic features using a machine learning approach in patients with endometrial cancers. PROCEDURES Included in this retrospective study were 53 patients with endometrial cancers who underwent [18F]-FDG PET/X-ray computed tomography (CT) before treatment. Since two different PET scanners were used, post-reconstruction harmonization was performed for...
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#1Ananya Choudhury (Maastricht University Medical Centre)H-Index: 2
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Abstract Background and purpose Predicting outcomes is challenging in rare cancers. Single-institutional datasets are often small and multi-institutional data sharing is complex. Distributed learning allows machine learning models to use data from multiple institutions without exchanging individual patient-level data. We demonstrate this technique in a proof-of-concept study of anal cancer patients treated with chemoradiotherapy across multiple European countries. Materials and methods atomCAT i...
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#1Manuel Piñeiro-Fiel (University of Santiago de Compostela)H-Index: 2
#2Alexis Moscoso (University of Santiago de Compostela)H-Index: 9
Last. Pablo Aguiar (University of Santiago de Compostela)H-Index: 16
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Background: Although many works have supported the utility of PET radiomics, several authors have raised concerns over the robustness and replicability of the results. This study aimed to perform a systematic review on the topic of PET radiomics and the used methodologies. Methods: PubMed was searched up to 15 October 2020. Original research articles based on human data specifying at least one tumor type and PET image were included, excluding those that apply only first-order statistics and thos...
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#1Yong Han (Capital Medical University)H-Index: 1
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To evaluate the capability of PET/CT images for differentiating the histologic subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from radiomics-based machine learning/deep learning algorithms. In this study, 867 patients with adenocarcinoma (ADC) and 552 patients with squamous cell carcinoma (SCC) were retrospectively analysed. A stratified random sample of 283 patients (20%) was used as the testing set (173 ADC and 110 SCC); the remaining data were used as the tra...
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#1Paula Martin-Gonzalez (Charles III University of Madrid)
#1Paula Martin-Gonzalez (Charles III University of Madrid)H-Index: 3
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Background and purpose Few tools are available to predict tumor response to treatment. This retrospective study assesses visual and automatic heterogeneity from 18F-FDG PET images as predictors of response in locally advanced rectal cancer. Methods This study included 37 LARC patients who underwent an 18F-FDG PET before their neoadjuvant therapy. One expert segmented the tumor from the PET images. Blinded to the patient´s outcome, two experts established by consensus a visual score for tumor het...
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#1Maelle Le ThiecH-Index: 3
#2Aude TestardH-Index: 4
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Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of...
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#1Caroline Lum (Monash Medical Centre)
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INTRODUCTION Anal cancer is a rare malignancy with increasing incidence, notably in women. This disease is highly associated with HPV infection and its incidence and mortality are currently rising. Most patients present with localized disease which has a high survival after definitive treatment with chemoradiation. For patients who develop metastatic disease or present with this de novo, survival is poor. AREAS COVERED This review provides a summary of current literature on anal cancer. With a f...
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#1P. J. Brown (Leeds Teaching Hospitals NHS Trust)H-Index: 1
#1Peter Brown (Leeds Teaching Hospitals NHS Trust)
Last. Andrew Scarsbrook (Leeds Teaching Hospitals NHS Trust)H-Index: 29
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#1Chunxia Qin (HUST: Huazhong University of Science and Technology)H-Index: 12
#2Fuqiang Shao (HUST: Huazhong University of Science and Technology)H-Index: 2
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Purpose Correct diagnosis and prognostic assessment of cardiac masses are crucial before therapy. We evaluated the diagnostic and prognostic value of 18F-FDG PET/CT in patients with cardiac masses.
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