-
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications Cancer Imaging (IF 3.5) Pub Date : 2024-09-20 Atena Najdian, Davood Beiki, Milad Abbasi, Ali Gholamrezanezhad, Hojjat Ahmadzadehfar, Ali Mohammad Amani, Mehdi Shafiee Ardestani, Majid Assadi
Multimodal imaging unfolds as an innovative approach that synergistically employs a spectrum of imaging techniques either simultaneously or sequentially. The integration of computed tomography (CT), magnetic resonance imaging (MRI), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and optical imaging (OI) results in a comprehensive and complementary understanding
-
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET Cancer Imaging (IF 3.5) Pub Date : 2024-09-19 David Ventura, Philipp Rassek, Philipp Schindler, Burak Han Akkurt, Linus Bredensteiner, Martin Bögemann, Katrin Schlack, Robert Seifert, Michael Schäfers, Wolfgang Roll, Kambiz Rahbar
Prostate-specific membrane antigen positron emission tomography (PSMA-PET) is an essential tool for patient selection before radioligand therapy (RLT). Interim-staging with PSMA-PET during RLT allows for therapy monitoring. However, its added value over post-treatment imaging is poorly elucidated. The aim of this study was to compare early treatment response assessed by post-therapeutic whole-body
-
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications Cancer Imaging (IF 3.5) Pub Date : 2024-09-17 Giulia Santo, Maria Cucè, Antonino Restuccia, Teresa Del Giudice, Pierfrancesco Tassone, Francesco Cicone, Pierosandro Tagliaferri, Giuseppe Lucio Cascini
Direct comparisons between [18F]FDG PET/CT findings and clinical occurrence of immune-related adverse events (irAEs) based on independent assessments of clinical and imaging features in patients receiving immune checkpoint inhibitors (ICIs) are missing. Our aim was to estimate sites, frequency, and timing of immune-related PET findings during ICIs treatment in patients with melanoma and NSCLC, and
-
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment Cancer Imaging (IF 3.5) Pub Date : 2024-09-16 Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng
We aimed to develop and externally validate a CT-based deep learning radiomics model for predicting overall survival (OS) in clear cell renal cell carcinoma (ccRCC) patients, and investigate the association of radiomics with tumor heterogeneity and microenvironment. The clinicopathological data and contrast-enhanced CT images of 512 ccRCC patients from three institutions were collected. A total of
-
Effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction strength level on the detection and characterization of pulmonary nodules in ultra-low-dose chest CT Cancer Imaging (IF 3.5) Pub Date : 2024-09-15 Yue Yao, Xuan Su, Lei Deng, JingBin Zhang, Zengmiao Xu, Jianying Li, Xiaohui Li
To explore the effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction (ASiR-V) strength level on the detection and characterization of pulmonary nodules by an artificial intelligence (AI) software in ultra-low-dose chest CT (ULDCT). An anthropomorphic thorax phantom containing 12 spherical simulated nodules (Diameter: 12 mm, 10 mm, 8 mm, 5 mm; CT value: -800HU, -630HU
-
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor Cancer Imaging (IF 3.5) Pub Date : 2024-09-13 Wei Shi, Yingshi Su, Rui Zhang, Wei Xia, Zhenqiang Lian, Ning Mao, Yanyu Wang, Anqin Zhang, Xin Gao, Yan Zhang
This study investigated the clinical value of breast magnetic resonance imaging (MRI) radiomics for predicting axillary lymph node metastasis (ALNM) and to compare the discriminative abilities of different combinations of MRI sequences. This study included 141 patients diagnosed with invasive breast cancer from two centers (center 1: n = 101, center 2: n = 40). Patients from center 1 were randomly
-
Proceedings of ICIS SGCR-WIRES 2024, held jointly with the 23rd International Cancer Imaging Society Annual Conference, collaborating with the Singapore Radiological Society and College of Radiologists Singapore Cancer Imaging (IF 3.5) Pub Date : 2024-09-12
O1 A randomized controlled trial of preoperative prostate artery embolization before transurethral resection of prostate glands larger than 80cc Zong Yi Chin1, Alvin YM Lee2, Neo Shu Hui3, Ng Tze Kiat2, Edwin Jonathan Aslim2, Allen SP Sim4, Pradesh Kumar5, John SP Yuen2, Kenneth Chen2, Sivanathan Chandramohan1 1Vascular and Interventional Radiology, Singapore General Hospital, Singapore; 2Urology,
-
The utility of 18F-FDG PET/CT for predicting the pathological response and prognosis to neoadjuvant immunochemotherapy in resectable non-small-cell lung cancer Cancer Imaging (IF 3.5) Pub Date : 2024-09-10 Rui Guo, Wanpu Yan, Fei Wang, Hua Su, Xiangxi Meng, Qing Xie, Wei Zhao, Zhi Yang, Nan Li
To evaluate the potential utility of 18F-FDG PET/CT to assess response to neoadjuvant immunochemotherapy in patients with resectable NSCLC, and the ability to screen patients who may benefit from neoadjuvant immunochemotherapy. Fifty one resectable NSCLC (stage IA–IIIB) patients were analyzed, who received two-three cycles neoadjuvant immunochemotherapy.18F-FDG PET/CT was carried out at baseline(scan-1)
-
Radiomics of multi-parametric MRI for the prediction of lung metastasis in soft-tissue sarcoma: a feasibility study Cancer Imaging (IF 3.5) Pub Date : 2024-09-05 Yue Hu, Xiaoyu Wang, Zhibin Yue, Hongbo Wang, Yan Wang, Yahong Luo, Wenyan Jiang
To investigate the value of multi-parametric MRI-based radiomics for preoperative prediction of lung metastases from soft tissue sarcoma (STS). In total, 122 patients with clinicopathologically confirmed STS who underwent pretreatment T1-weighted contrast-enhanced (T1-CE) and T2-weighted fat-suppressed (T2FS) MRI scans were enrolled between Jul. 2017 and Mar. 2021. Radiomics signatures were established
-
Optimization and validation of echo times of point-resolved spectroscopy for cystathionine detection in gliomas Cancer Imaging (IF 3.5) Pub Date : 2024-09-02 Min Zhou, Zhuang Nie, Jie Zhao, Yao Xiao, Xiaohua Hong, Yuhui Wang, Chengjun Dong, Alexander P. Lin, Ziqiao Lei
Cystathionine accumulates selectively in 1p/19q-codeleted gliomas, and can serve as a possible noninvasive biomarker. This study aims to optimize the echo time (TE) of point-resolved spectroscopy (PRESS) for cystathionine detection in gliomas, and evaluate the diagnostic accuracy of PRESS for 1p/19q-codeletion identification. The TE of PRESS was optimized with numerical and phantom analysis to better
-
Prognostic significance of a negative PSMA PET/CT in biochemical recurrence of prostate cancer Cancer Imaging (IF 3.5) Pub Date : 2024-08-30 Sara Harsini, Patrick Martineau, Sonia Plaha, Heather Saprunoff, Catherine Chen, Julia Bishop, Scott Tyldesley, Don Wilson, François Bénard
Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is becoming standard of care for men with biochemical recurrence (BCR) of prostate cancer. The implications of a negative PSMA PET/CT scan in this population remain unclear. This study aims to assess the outcome of patients with BCR post radical prostatectomy (RP) who have negative [18F]DCFPyL PET/CT
-
Intravoxel incoherent motion diffusion-weighted imaging in evaluating preoperative staging of esophageal squamous cell carcinoma Cancer Imaging (IF 3.5) Pub Date : 2024-08-29 Tao Song, Shuang Lu, Jinrong Qu, Hongkai Zhang, Zhaoqi Wang, Zhengyan Jia, Hailiang Li, Yan Zhao, Jianjun Qin, Wen Feng, Shaoyu Wang, Xu Yan
The aim of this research is to prospectively investigate the diagnostic performance of intravoxel incoherent motion (IVIM) using the integrated slice-specific dynamic shimming (iShim) technique in staging primary esophageal squamous cell carcinoma (ESCC) and predicting presence of lymph node metastases from ESCC. Sixty-three patients with ESCC were prospectively enrolled from April 2016 to April 2019
-
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies Cancer Imaging (IF 3.5) Pub Date : 2024-08-29 Ayatullah Mostafa, Zachary Abramson, Mina Ghbrial, Som Biswas, Sherwin Chan, Himani Darji, Jessica Gartrell, Seth E Karol, Yimei Li, Daniel A. Mulrooney, Tushar Patni, Tarek M Zaghloul, M. Beth McCarville
Patients treated for cancer have a higher incidence of focal liver lesions than the general population and there is often concern for a malignant etiology. This can result in patient, caregiver and physician anxiety and is managed by a “wait and watch” approach, or immediate additional imaging, or biopsy, depending on the degree of clinical concern. Because it is a low-cost, easily accessible, radiation
-
Case-control study of the characteristics and risk factors of hot clot artefacts on 18F-FDG PET/CT Cancer Imaging (IF 3.5) Pub Date : 2024-08-27 Jacques Dzuko Kamga, Romain Floch, Kevin Kerleguer, David Bourhis, Romain Le Pennec, Simon Hennebicq, Pierre-Yves Salaün, Ronan Abgral
The pulmonary Hot Clot artifact (HCa) on 18F-FDG PET/CT is a poorly understood phenomenon, corresponding to the presence of a focal tracer uptake without anatomical lesion on combined CTscan. The hypothesis proposed in the literature is of microembolic origin. Our objectives were to determine the incidence of HCa, to analyze its characteristics and to identify associated factors. All 18F-FDG PET/CT
-
Growth dynamics of lung nodules: implications for classification in lung cancer screening Cancer Imaging (IF 3.5) Pub Date : 2024-08-26 Beatriz Ocaña-Tienda, Alba Eroles-Simó, Julián Pérez-Beteta, Estanislao Arana, Víctor M. Pérez-García
Lung nodules observed in cancer screening are believed to grow exponentially, and their associated volume doubling time (VDT) has been proposed for nodule classification. This retrospective study aimed to elucidate the growth dynamics of lung nodules and determine the best classification as either benign or malignant. Data were analyzed from 180 participants (73.7% male) enrolled in the I-ELCAP screening
-
Endometrial cancer risk stratification using MRI radiomics: corroborating with choline metabolism Cancer Imaging (IF 3.5) Pub Date : 2024-08-24 Yenpo Lin, Ren-Chin Wu, Yu-Chun Lin, Yen-Ling Huang, Chiao-Yun Lin, Chi-Jen Lo, Hsin-Ying Lu, Kuan-Ying Lu, Shang-Yueh Tsai, Ching-Yi Hsieh, Lan-Yan Yang, Mei-Ling Cheng, Angel Chao, Chyong-Huey Lai, Gigin Lin
Radiomics offers little explainability. This study aims to develop a radiomics model (Rad-Score) using diffusion-weighted imaging (DWI) to predict high-risk patients for nodal metastasis or recurrence in endometrial cancer (EC) and corroborate with choline metabolism. From August 2015 to July 2018, 356 EC patients were enrolled. Rad-Score was developed using LASSO regression in a training cohort (n = 287)
-
Morphological MRI features as prognostic indicators in brain metastases Cancer Imaging (IF 3.5) Pub Date : 2024-08-20 Beatriz Ocaña-Tienda, Julián Pérez-Beteta, Ana Ortiz de Mendivil, Beatriz Asenjo, David Albillo, Luís A. Pérez-Romasanta, Manuel LLorente, Natalia Carballo, Estanislao Arana, Víctor M. Pérez-García
Stereotactic radiotherapy is the preferred treatment for managing patients with fewer than five brain metastases (BMs). However, some lesions recur after irradiation. The purpose of this study was to identify patients who are at a higher risk of failure, which can help in adjusting treatments and preventing recurrence. In this retrospective multicenter study, we analyzed the predictive significance
-
The relationship between gadolinium enhancement and [18 F]fluorothymidine uptake in brain lesions with the use of hybrid PET/MRI Cancer Imaging (IF 3.5) Pub Date : 2024-08-19 Tomáš Rohan, Petr Hložanka, Marek Dostál, Tereza Kopřivová, Tomáš Macek, Václav Vybíhal, Hiroko Jeannette Martin, Andrea Šprláková-Puková, Miloš Keřkovský
To evaluate and compare the diagnostic power of [18F]FLT-PET with ceMRI in patients with brain tumours or other focal lesions. 121 patients with suspected brain tumour or those after brain tumour surgery were enroled in this retrospective study (61 females, 60 males, mean age 37.3 years, range 1–80 years). All patients underwent [18F]FLT-PET/MRI with gadolinium contrast agent application. In 118 of
-
Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis Cancer Imaging (IF 3.5) Pub Date : 2024-08-18 Yu Han, Yu-yao Wang, Yang Yang, Shu-qi Qiao, Zhi-cheng Liu, Guang-bin Cui, Lin-feng Yan
This study aimed to investigate the intra- and inter-observer consistency of the Visually Accessible Rembrandt Images (VASARI) feature set before and after dichotomization, and the association between dichotomous VASARI features and the overall survival (OS) in glioblastoma (GBM) patients. This retrospective study included 351 patients with pathologically confirmed IDH1 wild-type GBM between January
-
Enhancing diagnostic precision in EBV-related HLH: a multifaceted approach using 18F-FDG PET/CT and nomogram integration Cancer Imaging (IF 3.5) Pub Date : 2024-08-18 Xu Yang, Xia Lu, Lijuan Feng, Wei Wang, Ying Kan, Shuxin Zhang, Xiang Li, Jigang Yang
The hyperinflammatory condition and lymphoproliferation due to Epstein-Barr virus (EBV)-associated hemophagocytic lymphohistiocytosis (HLH) affect the detection of lymphomas by 18F-FDG PET/CT. We aimed to improve the diagnostic capabilities of 18F-FDG PET/CT by combining laboratory parameters. This retrospective study involved 46 patients diagnosed with EBV-positive HLH, who underwent 18F-FDG PET/CT
-
MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges Cancer Imaging (IF 3.5) Pub Date : 2024-08-15 Shaolei Li, Yongming Dai, Jiayi Chen, Fuhua Yan, Yingli Yang
Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral heterogeneity, a non-invasive imaging technique, known as habitat imaging, was developed. The technique quantifies intra-tumoral heterogeneity by dividing complex tumors into distinct sub- regions, called habitats. This
-
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy Cancer Imaging (IF 3.5) Pub Date : 2024-08-13 Jiejun Chen, Wei Sun, Wentao Wang, Caixia Fu, Robert Grimm, Mengsu Zeng, Shengxiang Rao
To explore the capability of diffusion-based virtual MR elastography (vMRE) in the preoperative prediction of recurrence in hepatocellular carcinoma (HCC) and to investigate the underlying relevant histopathological characteristics. Between August 2015 and December 2016, patients underwent preoperative MRI examination with a dedicated DWI sequence (b-values: 200,1500 s/mm2) were recruited. The ADC
-
DCE-CT parameters as new functional imaging biomarkers at baseline and during immune checkpoint inhibitor therapy in patients with lung cancer – a feasibility study Cancer Imaging (IF 3.5) Pub Date : 2024-08-13 Michael Brun Andersen, Aska Drljevic-Nielsen, Jeanette Haar Ehlers, Kennet Sønderstgaard Thorup, Anders Ohlhues Baandrup, Majbritt Palne, Finn Rasmussen
With the development of immune checkpoint inhibitors for the treatment of non-small cell lung cancer, the need for new functional imaging techniques and early response assessments has increased to account for new response patterns and the high cost of treatment. The present study was designed to assess the prognostic impact of dynamic contrast-enhanced computed tomography (DCE-CT) on survival outcomes
-
Development of preoperative nomograms to predict the risk of overall and multifocal positive surgical margin after radical prostatectomy Cancer Imaging (IF 3.5) Pub Date : 2024-08-08 Lili Xu, Qianyu Peng, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Erjia Guo, Yu Xiao, Zhengyu Jin, Hao Sun
To develop preoperative nomograms using risk factors based on clinicopathological and MRI for predicting the risk of positive surgical margin (PSM) after radical prostatectomy (RP). This study retrospectively enrolled patients who underwent prostate MRI before RP at our center between January 2015 and November 2022. Preoperative clinicopathological factors and MRI-based features were recorded for analysis
-
Radiomics nomogram based on CT radiomics features and clinical factors for prediction of Ki-67 expression and prognosis in clear cell renal cell carcinoma: a two-center study Cancer Imaging (IF 3.5) Pub Date : 2024-08-06 Ben Li, Jie Zhu, Yanmei Wang, Yuchao Xu, Zhaisong Gao, Hailei Shi, Pei Nie, Ju Zhang, Yuan Zhuang, Zhenguang Wang, Guangjie Yang
To develop and validate a radiomics nomogram combining radiomics features and clinical factors for preoperative evaluation of Ki-67 expression status and prognostic prediction in clear cell renal cell carcinoma (ccRCC). Two medical centers of 185 ccRCC patients were included, and each of them formed a training group (n = 130) and a validation group (n = 55). The independent predictor of Ki-67 expression
-
CT and MRI features of sarcomatoid urothelial carcinoma of the bladder and its differential diagnosis with conventional urothelial carcinoma Cancer Imaging (IF 3.5) Pub Date : 2024-08-02 Jiayi Zhuo, Jingjing Han, Lingjie Yang, Yu Wang, Guangzi Shi, Zhuoheng Yan, Lu Yang, Riyu Han, Fengqiong Huang, Xiaohua Ban, Xiaohui Duan
Sarcomatoid urothelial carcinoma (SUC) is a rare and highly malignant form of bladder cancer with a poor prognosis. Currently, there is limited information on the imaging features of bladder SUC and reliable indicators for distinguishing it from conventional urothelial carcinoma (CUC). The objective of our study was to identify the unique imaging characteristics of bladder SUC and determine factors
-
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach Cancer Imaging (IF 3.5) Pub Date : 2024-08-01 Haifeng Qiu, Min Wang, Shiwei Wang, Xiao Li, Dian Wang, Yiwei Qin, Yongqing Xu, Xiaoru Yin, Marcus Hacker, Shaoli Han, Xiang Li
The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learning approach in cervical adenocarcinoma (AC) have not been explored. Herein, we aim to develop prognosis-predictive models based on MRI-radiomics and clinical features for AC patients. Clinical and pathological information from one hundred and ninety-seven patients with cervical AC was collected and analyzed. For
-
A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study Cancer Imaging (IF 3.5) Pub Date : 2024-07-31 Ruixin Yan, Siyuan Qin, Jiajia Xu, Weili Zhao, Peijin Xin, Xiaoying Xing, Ning Lang
Accurate prognostic assessment is vital for the personalized treatment of endometrial cancer (EC). Although radiomics models have demonstrated prognostic potential in EC, the impact of region of interest (ROI) delineation strategies and the clinical significance of peritumoral features remain uncertain. Our study thereby aimed to explore the predictive performance of varying radiomics models for the
-
Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival Cancer Imaging (IF 3.5) Pub Date : 2024-07-30 Huaiqing Zhi, Yilan Xiang, Chenbin Chen, Weiteng Zhang, Jie Lin, Zekan Gao, Qingzheng Shen, Jiancan Shao, Xinxin Yang, Yunjun Yang, Xiaodong Chen, Jingwei Zheng, Mingdong Lu, Bujian Pan, Qiantong Dong, Xian Shen, Chunxue Ma
Survival prognosis of patients with gastric cancer (GC) often influences physicians’ choice of their follow-up treatment. This study aimed to develop a positron emission tomography (PET)-based radiomics model combined with clinical tumor-node-metastasis (TNM) staging to predict overall survival (OS) in patients with GC. We reviewed the clinical information of a total of 327 patients with pathological
-
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy Cancer Imaging (IF 3.5) Pub Date : 2024-07-30 Jiayin Zhou, Yansong Bai, Ying Zhang, Zezhou Wang, Shiyun Sun, Luyi Lin, Yajia Gu, Chao You
Triple-negative breast cancer (TNBC) is highly heterogeneous, resulting in different responses to neoadjuvant chemotherapy (NAC) and prognoses among patients. This study sought to characterize the heterogeneity of TNBC on MRI and develop a radiogenomic model for predicting both pathological complete response (pCR) and prognosis. In this retrospective study, TNBC patients who underwent neoadjuvant chemotherapy
-
An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT Cancer Imaging (IF 3.5) Pub Date : 2024-07-30 Josephine Situ, Poppy Buissink, Annie Mu, David K V Chung, Rob Finnegan, Thiranja P Babarenda Gamage, Tharanga D Jayathungage Don, Cameron Walker, Hayley M Reynolds
The identification and assessment of sentinel lymph nodes (SLNs) in breast cancer is important for optimised patient management. The aim of this study was to develop an interactive 3D breast SLN atlas and to perform statistical analyses of lymphatic drainage patterns and tumour prevalence. A total of 861 early-stage breast cancer patients who underwent preoperative lymphoscintigraphy and SPECT/CT were
-
Pelvic lymph node mapping in prostate cancer: examining the impact of PSMA PET/CT on radiotherapy decision-making in patients with node-positive disease Cancer Imaging (IF 3.5) Pub Date : 2024-07-29 Ben Furman, Tal Falick Michaeli, Robert Den, Simona Ben Haim, Aron Popovtzer, Marc Wygoda, Philip Blumenfeld
Prostate Specific Membrane Antigen (PSMA) imaging with Positron Emission Tomography (PET) plays a crucial role in prostate cancer management. However, there is a lack of comprehensive data on how PSMA PET/CT (Computed Tomography) influences radiotherapeutic decisions, particularly in node-positive prostate cancer cases. This study aims to address this gap by evaluating two primary objectives: (1) Mapping
-
Deformation-based morphometry: a sensitive imaging approach to detect radiation-induced brain injury? Cancer Imaging (IF 3.5) Pub Date : 2024-07-18 Carole Brunaud, Samuel Valable, Gwenn Ropars, Fatima-Azzahra Dwiri, Mikaël Naveau, Jérôme Toutain, Myriam Bernaudin, Thomas Freret, Marianne Léger, Omar Touzani, Elodie A. Pérès
Radiotherapy is a major therapeutic approach in patients with brain tumors. However, it leads to cognitive impairments. To improve the management of radiation-induced brain sequalae, deformation-based morphometry (DBM) could be relevant. Here, we analyzed the significance of DBM using Jacobian determinants (JD) obtained by non-linear registration of MRI images to detect local vulnerability of healthy
-
The pulmonary-vascular-stump filling defect on CT post lung tumor resection: a predictor of cancer progression Cancer Imaging (IF 3.5) Pub Date : 2024-07-16 Lei Ni, Qihui Wang, Yilong Wang, Yaqi Du, Zhenggang Sun, Guoguang Fan, Ce Li, Guan Wang
To explore the pulmonary-vascular-stump filling-defect on CT and investigate its association with cancer progression. Records in our institutional database from 2018 to 2022 were retrospectively analyzed to identify filling-defects in the pulmonary-vascular-stump after lung cancer resection and collect imaging and clinical data of patients. Among the 1714 patients analyzed, 95 cases of filling-defects
-
DCE-MRI to distinguish all monoclonal plasma cell disease stages and correlation with diffusion-weighted MRI/PET-based biomarkers in a hybrid simultaneous whole body-2-[18F]FDG-PET/MRI imaging approach Cancer Imaging (IF 3.5) Pub Date : 2024-07-11 Bastien Jamet, Hatem Necib, Thomas Carlier, Eric Frampas, Juliette Bazin, Paul-Henri Desfontis, Aurélien Monnet, Caroline Bodet-Milin, Philippe Moreau, Cyrille Touzeau, Francoise Kraeber-Bodere
Dynamic contrast-enhanced-MRI (DCE-MRI) is able to study bone marrow angiogenesis in patients with multiple myeloma (MM) and asymptomatic precursor diseases but its role in the management of MM has not yet been established. The aims of this prospective study was to compare DCE-MRI-based parameters between all monoclonal plasma cell disease stages in order to find out discriminatory parameters and to
-
Correction: A CT based radiomics analysis to predict the CN0 status of thyroid papillary carcinoma: a two- center study Cancer Imaging (IF 3.5) Pub Date : 2024-07-11 Zongbao Li, Yifan Zhong, Yan Lv, Jianzhong Zheng, Yu Hu, Yanyan Yang, Yunxi Li, Meng Sun, Siqian Liu, Yan Guo, Mengchao Zhang, Le Zhou
Following publication of the original article [1], we were notified that the correct affiliation of co-corresponding author Le Zhou is the Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Changchun, 130,000, China, rather than the Department of Radiology. The original article has been corrected. Li et al. Cancer Imaging (2024) 24:62. https://doi.org/10.1186/s40644-024-00690-y
-
Survival after thermal ablation versus wedge resection for stage I non-small cell lung cancer < 1 cm and 1 to 2 cm: evidence from the US SEER database Cancer Imaging (IF 3.5) Pub Date : 2024-07-11 Shelly Yim, Wei Chan Lin, Jung Sen Liu, Ming Hong Yen
This study compared the survival outcomes after thermal ablation versus wedge resection in patients with stage I non-small cell lung cancer (NSCLC) ≤ 2 cm. Data from the United States (US) National Cancer Institute Surveillance Epidemiology and End Results (SEER) database from 2004 to 2019 were retrospectively analyzed. Patients with stage I NSCLC and lesions ≤ 2 cm who received thermal ablation or
-
Baseline and early 18F-FDG PET/CT evaluations as predictors of progression-free survival in metastatic breast cancer patients treated with targeted anti-CDK therapy Cancer Imaging (IF 3.5) Pub Date : 2024-07-09 Charline Lasnon, Adeline Morel, Nicolas Aide, Angélique Da Silva, George Emile
Exploring the value of baseline and early 18F-FDG PET/CT evaluations in prediction PFS in ER+/HER2- metastatic breast cancer patients treated with a cyclin-dependent kinase inhibitor in combination with an endocrine therapy. Sixty-six consecutive breast cancer patients who underwent a pre-therapeutic 18F-FDG PET/CT and a second PET/CT within the first 6 months of treatment were retrospectively included
-
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer Cancer Imaging (IF 3.5) Pub Date : 2024-07-08 Karoline Kallis, Christopher C. Conlin, Allison Y. Zhong, Troy S. Hussain, Aritrick Chatterjee, Gregory S. Karczmar, Rebecca Rakow-Penner, Anders M. Dale, Tyler M. Seibert
High b-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) for detection of csPCa. One hundred fifty-one consecutive patients who underwent prostate MRI and biopsy were included in the study. Axial DWI with b = 0, 500, 1000, and 2000 s/mm2 using
-
Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms Cancer Imaging (IF 3.5) Pub Date : 2024-07-06 Shuo Zhang, Yonghao Du, Ting Liang, Xuyin Zhang, Yinxia Guo, Jian Yang, Xianjun Li, Gang Niu
The aim of the study were as below. (1) To investigate the feasibility of intravoxel incoherent motion (IVIM)-based virtual magnetic resonance elastography (vMRE) to provide quantitative estimates of tissue stiffness in pulmonary neoplasms. (2) To verify the diagnostic performance of shifted apparent diffusion coefficient (sADC) and reconstructed virtual stiffness values in distinguishing neoplasm
-
Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes Cancer Imaging (IF 3.5) Pub Date : 2024-07-05 Karim Amrane, Coline Le Meur, Philippe Thuillier, Christian Berthou, Arnaud Uguen, Désirée Deandreis, David Bourhis, Vincent Bourbonne, Ronan Abgral
Over the past decade, several strategies have revolutionized the clinical management of patients with cutaneous melanoma (CM), including immunotherapy and targeted tyrosine kinase inhibitor (TKI)-based therapies. Indeed, immune checkpoint inhibitors (ICIs), alone or in combination, represent the standard of care for patients with advanced disease without an actionable mutation. Notably BRAF combined
-
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy Cancer Imaging (IF 3.5) Pub Date : 2024-07-04 Jinhui Yang, Ling Xiao, Ming Zhou, Yujia Li, Yi Cai, Yu Gan, Yongxiang Tang, Shuo Hu
To develop a radiomics-based model using [68Ga]Ga-PSMA PET/CT to predict postoperative adverse pathology (AP) in patients with biopsy Gleason Grade Group (GGG) 1–2 prostate cancer (PCa), assisting in the selection of patients for active surveillance (AS). A total of 75 men with biopsy GGG 1–2 PCa who underwent radical prostatectomy (RP) were enrolled. The patients were randomly divided into a training
-
Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023 Cancer Imaging (IF 3.5) Pub Date : 2024-07-04 Ruiyu Wang, Shu Huang, Ping Wang, Xiaomin Shi, Shiqi Li, Yusong Ye, Wei Zhang, Lei Shi, Xian Zhou, Xiaowei Tang
Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the application of DL in cancer. We retrieved all articles on the application of DL in cancer from the Web of Science
-
3D airway geometry analysis of factors in airway navigation failure for lung nodules Cancer Imaging (IF 3.5) Pub Date : 2024-07-04 Hwan-ho Cho, Junsu Choe, Jonghoon Kim, Yoo Jin Oh, Hyunjin Park, Kyungjong Lee, Ho Yun Lee
This study aimed to quantitatively reveal contributing factors to airway navigation failure during radial probe endobronchial ultrasound (R-EBUS) by using geometric analysis in a three-dimensional (3D) space and to investigate the clinical feasibility of prediction models for airway navigation failure. We retrospectively reviewed patients who underwent R-EBUS between January 2017 and December 2018
-
Automation of Wilms’ tumor segmentation by artificial intelligence Cancer Imaging (IF 3.5) Pub Date : 2024-07-02 Olivier Hild, Pierre Berriet, Jérémie Nallet, Lorédane Salvi, Marion Lenoir, Julien Henriet, Jean-Philippe Thiran, Frédéric Auber, Yann Chaussy
3D reconstruction of Wilms’ tumor provides several advantages but are not systematically performed because manual segmentation is extremely time-consuming. The objective of our study was to develop an artificial intelligence tool to automate the segmentation of tumors and kidneys in children. A manual segmentation was carried out by two experts on 14 CT scans. Then, the segmentation of Wilms’ tumor
-
Correction: Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation Cancer Imaging (IF 3.5) Pub Date : 2024-07-01 Nabeel Mansour, Kathrin Heinrich, Danmei Zhang, Michael Winkelmann, Maria Ingenerf, Lukas Gold, Konstantin Klambauer, Martina Rudelius, Frederick Klauschen, Michael von Bergwelt-Baildon, Jens Ricke, Volker Heinemann, C. Benedikt Westphalen, Wolfgang G. Kunz
Correction: Mansour Cancer Imaging https://doi.org/10.1186/s40644-024-00708-5 Following publication of the original article [1], we were notified that due to a proofing system error, the author corrections were not submitted. These included mostly typos in the text, as well as the below corrections: -On page 3, last sentence under Definition of measurable disease, the phrase “Two exemplary cases of
-
MRI-guided in-bore biopsy of the prostate – defining the optimal number of cores needed Cancer Imaging (IF 3.5) Pub Date : 2024-07-01 Moritz Gross, Edith Eisenhuber, Petra Assinger, Raphael Schima, Martin Susani, Stefan Doblhammer, Wolfgang Schima
Numerous studies have shown that magnetic resonance imaging (MRI)-targeted biopsy approaches are superior to traditional systematic transrectal ultrasound guided biopsy (TRUS-Bx). The optimal number of biopsy cores to be obtained per lesion identified on multiparametric MRI (mpMRI) images, however, remains a matter of debate. The aim of this study was to evaluate the incremental value of additional
-
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype Cancer Imaging (IF 3.5) Pub Date : 2024-06-28 Yawen Lu, Ningfang Du, Xuhao Fang, Weiquan Shu, Wei Liu, Xinxin Xu, Yao Ye, Li Xiao, Renling Mao, Kefeng Li, Guangwu Lin, Shihong Li
This study aimed to evaluate the T2W hypointense ring and T2-FLAIR mismatch signs in gliomas and use these signs to construct prediction models for glioma grading and isocitrate dehydrogenase (IDH) mutation status. Two independent radiologists retrospectively evaluated 207 glioma patients to assess the presence of T2W hypointense ring and T2-FLAIR mismatch signs. The inter-rater reliability was calculated
-
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk Cancer Imaging (IF 3.5) Pub Date : 2024-06-28 Tao Han, Xianwang Liu, Changyou Long, Shenglin Li, Fengyu Zhou, Peng Zhang, Bin Zhang, Mengyuan Jing, Liangna Deng, Yuting Zhang, Junlin Zhou
This study was based on MRI features and number of tumor-infiltrating CD8 + T cells in post-operative pathology, in predicting meningioma recurrence risk. Clinical, pathological, and imaging data of 102 patients with surgically and pathologically confirmed meningiomas were retrospectively analyzed. Patients were divided into recurrence and non-recurrence groups based on follow-up. Tumor-infiltrating
-
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function Cancer Imaging (IF 3.5) Pub Date : 2024-06-23 Li Zhu, Jiali Liu, Liang Zeng, Sohun Moonindranath, Peng An, Hu Chen, Quanyong Xiang, Zhongqiu Wang
Preserved ratio impaired spirometry (PRISm) and chronic obstructive pulmonary disease (COPD) belong to lung function injury. PRISm is a precursor to COPD. We compared and evaluated the different basic information, imaging findings and survival curves of 108 lung cancer patients with different pulmonary function based on high resolution computed tomography (HRCT). This retrospective study was performed
-
Prognostic value of the tumor-to-liver density ratio in patients with metastatic colorectal cancer treated with bevacizumab-based chemotherapy. A post-hoc study of the STIC-AVASTIN trial Cancer Imaging (IF 3.5) Pub Date : 2024-06-17 Thibault Mazard, Caroline Mollevi, Evelyne M. Loyer, Julie Léger, Romain Chautard, Olivier Bouché, Christophe Borg, Paul Armand-Dujardin, Aurore Bleuzen, Eric Assenat, Thierry Lecomte
The Response Evaluation Criteria in Solid Tumors (RECIST) are often inadequate for the early assessment of the response to cancer therapy, particularly bevacizumab-based chemotherapy. In a first cohort of patients with colorectal cancer liver metastases (CRLM), we showed that variations of the tumor-to-liver density (TTLD) ratio and modified size-based criteria determined using computed tomography
-
CTR > 0.7 predicts the subgroup of lung adenocarcinomas ≤ 2 cm at risk of poor outcome treated by sublobar resection compared to lobar resection Cancer Imaging (IF 3.5) Pub Date : 2024-06-17 Weiwei Jing, Qi Li, Mengxi Liu, Yi Zhang, Sifan Chen, Ke Zhang, Dan Li, Min Zhao, Yineng Zheng, Wangjia Li, Yangying Wu, Hongbo Xu, Ziya Zhao, Shaolei Kang, Fajin Lv
A standard surgical procedure for patients with small early-stage lung adenocarcinomas remains unknown. Hence, we aim in this study to assess the clinical utility of the consolidation-to-tumor ratio (CTR) when treating patients with small (2 cm) early stage lung cancers. A retrospective cohort of 298 sublobar resection and 266 lobar resection recipients for early stage lung adenocarcinoma ≤ 2 cm was
-
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma Cancer Imaging (IF 3.5) Pub Date : 2024-06-17 Runjiao Zhang, Linfei Hu, Yanan Cheng, Luchen Chang, Li Dong, Lei Han, Wenwen Yu, Rui Zhang, Pengpeng Liu, Xi Wei, Jinpu Yu
The aim of our study is to find a better way to identify a group of papillary thyroid carcinoma (PTC) with more aggressive behaviors and to provide a prediction model for lymph node metastasis to assist in clinic practice. Targeted sequencing of DNA/RNA was used to detect genetic alterations. Gene expression level was measured by quantitative real-time PCR, western blotting or immunohistochemistry
-
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate Cancer Imaging (IF 3.5) Pub Date : 2024-06-14 Tingting Zheng, Yuan Zhang, Hao Wang, Lang Tang, Xiaoli Xie, Qingyin Fu, Pu-Yeh Wu, Bin Song
To assess MRI-based morphological features in improving the American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) for categorizing thyroid nodules. A retrospective analysis was performed on 728 thyroid nodules (453 benign and 275 malignant) that postoperative pathology confirmed. Univariate and multivariate logistic regression analyses were used to find independent predictors
-
Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities Cancer Imaging (IF 3.5) Pub Date : 2024-06-12 Chen Hsin-Hung , Tang En-Kuei, Wu Yun-Ju, Wu Fu-Zong
With the increasing prevalence of nonsmoking-related lung cancer in Asia, Asian countries have increasingly adopted low-dose computed tomography (LDCT) for lung cancer screening, particularly in private screening programs. This study examined how annual LDCT volume affects lung cancer stage distribution, overdiagnosis, and gender disparities using a hospital-based lung cancer database. This study analyzed
-
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma Cancer Imaging (IF 3.5) Pub Date : 2024-06-11 Jun Liu, Qinghua Ren, Haonan Xiao, Siqi Li, Lingling Zheng, Xu Yang, Lijuan Feng, Ziang Zhou, Huanmin Wang, Jigang Yang, Wei Wang
Neuroblastoma (NB) is a highly heterogeneous tumor, and more than half of newly diagnosed NB are associated with extensive metastases. Accurately characterizing the heterogeneity of whole-body tumor lesions remains clinical challenge. This study aims to quantify whole-tumoral metabolic heterogeneity (WMH) derived from whole-body tumor lesions, and investigate the prognostic value of WMH in NB. We retrospectively
-
Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy Cancer Imaging (IF 3.5) Pub Date : 2024-06-11 Yu Zheng, Liang Zhou, Wenjing Huang, Na Han, Jing Zhang
There is an urgent need to find a reliable and effective imaging method to evaluate the therapeutic efficacy of immunochemotherapy in advanced non-small cell lung cancer (NSCLC). This study aimed to investigate the capability of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) histogram analysis based on different region of interest (ROI) selection methods for predicting treatment
-
Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation Cancer Imaging (IF 3.5) Pub Date : 2024-06-07 Nabeel Mansour, Kathrin Heinrich, Danmei Zhang, Michael Winkelmann, Maria Ingenerf, Lukas Gold, Konstantin Klambauer, Martina Rudelius, Frederick Klauschen, Michael von Bergwelt-Baildon, Jens Ricke, Volker Heinemann, C. Benedikt Westphalen, Wolfgang G. Kunz
To assess the eligibility of patients with advanced or recurrent solid malignancies presented to a molecular tumor board (MTB) at a large precision oncology center for inclusion in trials with the endpoints objective response rate (ORR) or duration of response (DOR) based on Response Evaluation Criteria in Solid Tumors (RECIST version 1.1). Prospective patients with available imaging at the time of
-
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer? Cancer Imaging (IF 3.5) Pub Date : 2024-06-03 Kazuhiro Imai, Nobuyasu Kurihara, Motoko Konno, Naoko Mori, Shinogu Takashima, Shoji Kuriyama, Ryo Demura, Haruka Suzuki, Yuzu Harata, Tatsuki Fujibayashi, Sumire Shibano, Akiyuki Wakita, Yushi Nagaki, Yusuke Sato, Kyoko Nomura, Yoshihiro Minamiya
Accurate clinical staging is crucial for selection of optimal oncological treatment strategies in non-small cell lung cancer (NSCLC). Although brain MRI, bone scintigraphy and whole-body PET/CT play important roles in detecting distant metastases, there is a lack of evidence regarding the indication for metastatic staging in early NSCLCs, especially ground-grass nodules (GGNs). Our aim was to determine
-
[18F]FAPI adds value to [18F]FDG PET/CT for diagnosing lymph node metastases in stage I-IIIA non-small cell lung cancer: a prospective study Cancer Imaging (IF 3.5) Pub Date : 2024-06-03 Youcai Li, Yin Zhang, Zhihua Guo, Peng Hou, Jie Lv, Miao Ke, Shaoyu Liu, Siwen Li, Weiqiang Yin, Jianxing He, Xinlu Wang
This study investigates the value of fluorine 18 ([18F])-labeled fibroblast activation protein inhibitor (FAPI) for lymph node (LN) metastases in patients with stage I-IIIA non-small cell lung cancer (NSCLC). From November 2021 to October 2022, 53 patients with stage I-IIIA NSCLC who underwent radical resection were prospectively included. [18F]-fluorodeoxyglucose (FDG) and [18F]FAPI examinations were