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Radiomics neoadjuvant

Xuezhi Zhou, Yongju Yi, Zhenyu Liu, Wuteng Cao, Bingjia Lai, Kai Sun, Longfei Li, Zhiyang Zhou, Yanqiu Feng, Jie Tian
OBJECTIVE: The aim of this study was to investigate whether pretherapeutic, multiparametric magnetic resonance imaging (MRI) radiomic features can be used for predicting non-response to neoadjuvant therapy in patients with locally advanced rectal cancer (LARC). METHODS: We retrospectively enrolled 425 patients with LARC [allocated in a 3:1 ratio to a primary (n = 318) or validation (n = 107) cohort] who received neoadjuvant therapy before surgery. All patients underwent T1-weighted, T2-weighted, diffusion-weighted, and contrast-enhanced T1-weighted MRI scans before receiving neoadjuvant therapy...
March 18, 2019: Annals of Surgical Oncology
Zhenyu Liu, Zhuolin Li, Jinrong Qu, Renzhi Zhang, Xuezhi Zhou, Longfei Li, Kai Sun, Zhenchao Tang, Hui Jiang, Hailiang Li, Qianqian Xiong, Yingying Ding, Xinming Zhao, Kun Wang, Zaiyi Liu, Jie Tian
PURPOSE: We evaluated the performance of the newly proposed radiomics of multi-parametric magnetic resonance imaging (MRI) (hereafter RMM), developed and validated based on a multicenter dataset adopting a radiomic strategy, for pretreatment prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer. METHODS AND MATERIALS: A total of 586 potentially eligible patients were retrospectively enrolled from 4 hospitals (primary cohort and external validation cohort 1~3)...
March 6, 2019: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
V Giannini, S Mazzetti, I Bertotto, C Chiarenza, S Cauda, E Delmastro, C Bracco, A Di Dia, F Leone, E Medico, A Pisacane, D Ribero, M Stasi, D Regge
PURPOSE: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15-30% of cases, therefore it would be useful to assess if pretreatment of 18 F-FDG PET/CT and/or MRI texture features can reliably predict response to neoadjuvant therapy in LARC. METHODS: Fifty-two patients were dichotomized as responder (pR+) or non-responder (pR-) according to their pathological tumor regression grade (TRG) as follows: 22 as pR+ (nine with TRG = 1, 13 with TRG = 2) and 30 as pR- (16 with TRG = 3, 13 with TRG = 4 and 1 with TRG = 5)...
January 13, 2019: European Journal of Nuclear Medicine and Molecular Imaging
Amandine Crombé, Cynthia Périer, Michèle Kind, Baudouin Denis De Senneville, François Le Loarer, Antoine Italiano, Xavier Buy, Olivier Saut
BACKGROUND: Standard of care for patients with high-grade soft-tissue sarcoma (STS) are being redefined since neoadjuvant chemotherapy (NAC) has demonstrated a positive effect on patients' outcome. Yet response evaluation in clinical trials still relies on RECIST criteria. PURPOSE: To investigate the added value of a Delta-radiomics approach for early response prediction in patients with STS undergoing NAC. STUDY TYPE: Retrospective. POPULATION: Sixty-five adult patients with newly-diagnosed, locally-advanced, histologically proven high-grade STS of trunk and extremities...
December 19, 2018: Journal of Magnetic Resonance Imaging: JMRI
Ning Mao, Ping Yin, Qinglin Wang, Meijie Liu, Jianjun Dong, Xuexi Zhang, Haizhu Xie, Nan Hong
BACKGROUND: This study aimed to evaluate whether radiomics can improve the diagnostic performance of mammography compared with that obtained by experienced radiologists. METHODS: This retrospective study included 173 patients (with 74 benign and 99 malignant lesions) who underwent mammography examination before neoadjuvant chemotherapy. Radiomic features were extracted from the mammography image of each patient. Several preprocessing methods, including centering and normalization, were used along with statistical analysis to reduce and select radiomic features...
December 4, 2018: Journal of the American College of Radiology: JACR
Kenny H Cha, Lubomir M Hadjiiski PhD, Richard H Cohan Md, Heang-Ping Chan PhD, Elaine M Caoili Md, Matthew Davenport Md, Ravi K Samala PhD, Alon Z Weizer Md, Ajjai Alva Md, Galina Kirova-Nedyalkova Md PhD, Kimberly Shampain Md, Nathaniel Meyer Md, Daniel Barkmeier Md PhD, Sean Woolen Md, Prasad R Shankar Md, Isaac R Francis Md, Phillip Palmbos Md
RATIONALE AND OBJECTIVES: To evaluate whether a computed tomography (CT)-based computerized decision-support system for muscle-invasive bladder cancer treatment response assessment (CDSS-T) can improve identification of patients who have responded completely to neoadjuvant chemotherapy. MATERIALS AND METHODS: Following Institutional Review Board approval, pre-chemotherapy and post-chemotherapy CT scans of 123 subjects with 157 muscle-invasive bladder cancer foci were collected retrospectively...
November 10, 2018: Academic Radiology
Paola Crivelli, Roberta Eufrasia Ledda, Nicola Parascandolo, Alberto Fara, Daniela Soro, Maurizio Conti
Introduction: Over the last decade, the field of medical imaging experienced an exponential growth, leading to the development of radiomics, with which innumerable quantitative features are obtained from digital medical images, providing a comprehensive characterization of the tumor. This review aims to assess the role of this emerging diagnostic tool in breast cancer, focusing on the ability of radiomics to predict malignancy, response to neoadjuvant chemotherapy, prognostic factors, molecular subtypes, and risk of recurrence...
2018: BioMed Research International
Luca Boldrini, Davide Cusumano, Giuditta Chiloiro, Calogero Casà, Carlotta Masciocchi, Jacopo Lenkowicz, Francesco Cellini, Nicola Dinapoli, Luigi Azario, Stefania Teodoli, Maria Antonietta Gambacorta, Marco De Spirito, Vincenzo Valentini
The aim of this study was to evaluate the variation of radiomics features, defined as "delta radiomics", in patients undergoing neoadjuvant radiochemotherapy (RCT) for rectal cancer treated with hybrid magnetic resonance (MR)-guided radiotherapy (MRgRT). The delta radiomics features were then correlated with clinical complete response (cCR) outcome, to investigate their predictive power. A total of 16 patients were enrolled, and 5 patients (31%) showed cCR at restaging examinations. T2*/T1 MR images acquired with a hybrid 0...
October 29, 2018: La Radiologia Medica
Wenyong Tan, Ming Yang, Hongli Yang, Fangbin Zhou, Weixi Shen
Neoadjuvant therapy (NAT) has been used increasingly in patients with locally advanced or early-stage breast cancer. However, the accurate evaluation and prediction of response to NAT remain the great challenge. Biomarkers could prove useful to identify responders or nonresponders, or even to distinguish between early and delayed responses. These biomarkers could include markers from the tumor itself, such as versatile proteins, genes, and ribonucleic acids, various biological factors or peripheral blood cells, and clinical and pathological features...
2018: Cancer Management and Research
Elizabeth Hope Cain, Ashirbani Saha, Michael R Harowicz, Jeffrey R Marks, P Kelly Marcom, Maciej A Mazurowski
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer patients. METHODS: Institutional review board approval was obtained for this retrospective study of 288 breast cancer patients at our institution who received NAT and had a pre-treatment breast MRI...
October 16, 2018: Breast Cancer Research and Treatment
Akshat C Pujara, Eric Kim, Deborah Axelrod, Amy N Melsaether
Positron emission tomography / magnetic resonance imaging (PET/MRI) is an emerging imaging technology that allows for the acquisition of multiple MRI parameters simultaneously with PET data. In this review, we address the technical requirements of PET/MRI including protocols and tracers, the potential of integrated localized breast PET/MRI exams, and possible applications of whole-body PET/MRI in breast cancer patients. Currently, PET/MRI can be performed on sequential and integrated PET/MRI scanners but, as not all practices can access these dedicated machines, several studies look at PET and MRI exams that are performed separately on separate scanners within a short time frame...
February 2019: Journal of Magnetic Resonance Imaging: JMRI
Zhenhui Li, Dafu Zhang, Youguo Dai, Jian Dong, Lin Wu, Yajun Li, Zixuan Cheng, Yingying Ding, Zaiyi Liu
Objective: The standard treatment for patients with locally advanced gastric cancer has relied on perioperative radio-chemotherapy or chemotherapy and surgery. The aim of this study was to investigate the wealth of radiomics for pre-treatment computed tomography (CT) in the prediction of the pathological response of locally advanced gastric cancer with preoperative chemotherapy. Methods: Thirty consecutive patients with CT-staged II/III gastric cancer receiving neoadjuvant chemotherapy were enrolled in this study between December 2014 and March 2017...
August 2018: Chinese Journal of Cancer Research
Yanfen Cui, Xiaotang Yang, Zhongqiang Shi, Zhao Yang, Xiaosong Du, Zhikai Zhao, Xintao Cheng
OBJECTIVES: To develop and validate a radiomics predictive model based on pre-treatment multiparameter magnetic resonance imaging (MRI) features and clinical features to predict a pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after receiving neoadjuvant chemoradiotherapy (CRT). METHODS: One hundred and eighty-six consecutive patients with LARC (training dataset, n = 131; validation dataset, n = 55) were enrolled in our retrospective study...
August 20, 2018: European Radiology
Tao Chen, Zhenyuan Ning, Lili Xu, Xingyu Feng, Shuai Han, Holger R Roth, Wei Xiong, Xixi Zhao, Yanfeng Hu, Hao Liu, Jiang Yu, Yu Zhang, Yong Li, Yikai Xu, Kensaku Mori, Guoxin Li
OBJECTIVE: To develop and evaluate a radiomics nomogram for differentiating the malignant risk of gastrointestinal stromal tumours (GISTs). METHODS: A total of 222 patients (primary cohort: n = 130, our centre; external validation cohort: n = 92, two other centres) with pathologically diagnosed GISTs were enrolled. A Relief algorithm was used to select the feature subset with the best distinguishing characteristics and to establish a radiomics model with a support vector machine (SVM) classifier for malignant risk differentiation...
August 16, 2018: European Radiology
Roelof J Beukinga, Jan Binne Hulshoff, Véronique E M Mul, Walter Noordzij, Gursah Kats-Ugurlu, Riemer H J A Slart, John T M Plukker
Purpose To assess the value of baseline and restaging fluorine 18 (18 F) fluorodeoxyglucose (FDG) positron emission tomography (PET) radiomics in predicting pathologic complete response to neoadjuvant chemotherapy and radiation therapy (NCRT) in patients with locally advanced esophageal cancer. Materials and Methods In this retrospective study, 73 patients with histologic analysis-confirmed T1/N1-3/M0 or T2-4a/N0-3/M0 esophageal cancer were treated with NCRT followed by surgery (Chemoradiotherapy for Esophageal Cancer followed by Surgery Study regimen) between October 2014 and August 2017...
June 2018: Radiology
Natally Horvat, Harini Veeraraghavan, Monika Khan, Ivana Blazic, Junting Zheng, Marinela Capanu, Evis Sala, Julio Garcia-Aguilar, Marc J Gollub, Iva Petkovska
Purpose To investigate the value of T2-weighted-based radiomics compared with qualitative assessment at T2-weighted imaging and diffusion-weighted (DW) imaging for diagnosis of clinical complete response in patients with rectal cancer after neoadjuvant chemotherapy-radiation therapy (CRT). Materials and Methods This retrospective study included 114 patients with rectal cancer who underwent magnetic resonance (MR) imaging after CRT between March 2012 and February 2016. Median age among women (47 of 114, 41%) was 55...
June 2018: Radiology
Yankai Meng, Yuchen Zhang, Di Dong, Chunming Li, Xiao Liang, Chongda Zhang, Lijuan Wan, Xinming Zhao, Kai Xu, Chunwu Zhou, Jie Tian, Hongmei Zhang
BACKGROUND: Locally advanced rectal cancer (LARC) patient stratification by clinicoradiologic factors may yield variable results. Therefore, more efficient prognostic biomarkers are needed for improved risk stratification of LARC patients, personalized treatment, and prognostication. PURPOSE/HYPOTHESIS: To compare the ability of a radiomic signature to predict disease-free survival (DFS) with that of a clinicoradiologic risk model in individual patients with LARC...
February 13, 2018: Journal of Magnetic Resonance Imaging: JMRI
Pierre Lovinfosse, Marc Polus, Daniel Van Daele, Philippe Martinive, Frédéric Daenen, Mathieu Hatt, Dimitris Visvikis, Benjamin Koopmansch, Frédéric Lambert, Carla Coimbra, Laurence Seidel, Adelin Albert, Philippe Delvenne, Roland Hustinx
PURPOSE: The aim of this study was to investigate the prognostic value of baseline 18 F-FDG PET/CT textural analysis in locally-advanced rectal cancer (LARC). METHODS: Eighty-six patients with LARC underwent 18 F-FDG PET/CT before treatment. Maximum and mean standard uptake values (SUVmax and SUVmean), metabolic tumoral volume (MTV), total lesion glycolysis (TLG), histogram-intensity features, as well as 11 local and regional textural features, were evaluated. The relationships of clinical, pathological and PET-derived metabolic parameters with disease-specific survival (DSS), disease-free survival (DFS) and overall survival (OS) were assessed by Cox regression analysis...
March 2018: European Journal of Nuclear Medicine and Molecular Imaging
Zhenyu Liu, Xiao-Yan Zhang, Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, Ying-Shi Sun
Purpose: To develop and validate a radiomics model for evaluating pathologic complete response (pCR) to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer (LARC). Experimental Design: We enrolled 222 patients (152 in the primary cohort and 70 in the validation cohort) with clinicopathologically confirmed LARC who received chemoradiotherapy before surgery. All patients underwent T2-weighted and diffusion-weighted imaging before and after chemoradiotherapy; 2,252 radiomic features were extracted from each patient before and after treatment imaging...
December 1, 2017: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
OBJECTIVES: To enhance the accurate prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic enhancement magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A dataset of 57 cancer patients with breast DCE-MR images acquired before NAC was used. Among them, 47 patients were Responders, and 10 patients were non-Responders based on the RECIST criteria. The breast regions were segmented on the MR images, and a total of 158 radiomic features were computed to represent the morphologic, dynamic, and the texture of the tumors as well as the background parenchymal features...
September 2017: European Journal of Radiology
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