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Assessment of perineural spread in advanced cutaneous squamous cell carcinomas treated with immunotherapy Cancer Imaging (IF 4.9) Pub Date : 2024-03-18 Karda Cavanagh, Luke S. McLean, Annette M. Lim, Anthony Cardin, Sidney M. Levy, Danny Rischin
Cutaneous squamous cell carcinoma (CSCC) has a propensity for perineural spread (PNS) which is associated with poorer treatment outcomes. Immunotherapy is the new standard of care treatment for advanced CSCC resulting in durable responses. PNS is not captured by traditional response assessment criteria used in clinical trials, e.g. RECIST 1.1, and there is limited literature documenting radiological
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Artificial intelligence-based MRI radiomics and radiogenomics in glioma Cancer Imaging (IF 4.9) Pub Date : 2024-03-14 Haiqing Fan, Yilin Luo, Fang Gu, Bin Tian, Yongqin Xiong, Guipeng Wu, Xin Nie, Jing Yu, Juan Tong, Xin Liao
The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists and neurosurgeons. Currently, the diagnosis of gliomas pivots mainly around the preliminary radiological findings and the subsequent definitive surgical diagnosis (via surgical sampling). Radiomics and radiogenomics
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Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review Cancer Imaging (IF 4.9) Pub Date : 2024-03-11 Xue Li, Fuhua Yan
This review aimed to assess the predictive value of background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) as an imaging biomarker for pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT). Two reviewers independently performed a systemic literature search using the PubMed, MEDLINE, and Embase databases for studies published up to 11 June 2022. Data from
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Clinical outcomes of percutaneous microwave ablation for pulmonary oligometastases from hepatocellular carcinoma: a retrospective, multicenter study Cancer Imaging (IF 4.9) Pub Date : 2024-03-04 Gang Wang, Zhigang Wei, Feihang Wang, Xiaoying Han, Haipeng Jia, Danyang Zhao, Chunhai Li, Lingxiao Liu, Xia Yang, Xin Ye
Pulmonary oligometastases are common in hepatocellular carcinoma (HCC), however, the existing therapeutic options have several limitations. This study aimed to assess the safety and efficacy of microwave ablation (MWA) in the treatment of HCC-originating pulmonary oligometastases. A total of 83 patients, comprising 73 males and 10 females with a median age of 57 years, who had pulmonary oligometastases
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Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions Cancer Imaging (IF 4.9) Pub Date : 2024-03-04 Nan Meng, Chen Song, Jing Sun, Xue Liu, Lei Shen, Yihang Zhou, Bo Dai, Xuan Yu, Yaping Wu, Jianmin Yuan, Yang Yang, Zhe Wang, Meiyun Wang
To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-FDG PET-derived parameters. A total of 120 SPLs patients underwent chest 18F-FDG PET/MRI were enrolled, including 84 in the training set (28 benign and 56 malignant) and 36 in the test set
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Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study Cancer Imaging (IF 4.9) Pub Date : 2024-03-01 Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim, Seung-Koo Lee
To assess whether a deep learning-based system (DLS) with black-blood imaging for brain metastasis (BM) improves the diagnostic workflow in a multi-center setting. In this retrospective study, a DLS was developed in 101 patients and validated on 264 consecutive patients (with lung cancer) having newly developed BM from two tertiary university hospitals, which performed black-blood imaging between January
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Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer Cancer Imaging (IF 4.9) Pub Date : 2024-02-29 Tingting Deng, Jianwen Liang, Cuiju Yan, Mengqian Ni, Huiling Xiang, Chunyan Li, Jinjing Ou, Qingguang Lin, Lixian Liu, Guoxue Tang, Rongzhen Luo, Xin An, Yi Gao, Xi Lin
Identifying breast cancer (BC) patients with germline breast cancer susceptibility gene (gBRCA) mutation is important. The current criteria for germline testing for BC remain controversial. This study aimed to develop a nomogram incorporating ultrasound radiomic features and clinicopathological factors to predict gBRCA mutations in patients with BC. In this retrospective study, 497 women with BC who
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Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR Cancer Imaging (IF 4.9) Pub Date : 2024-02-29 Elmira Yazdani, Najme Karamzadeh-Ziarati, Seyyed Saeid Cheshmi, Mahdi Sadeghi, Parham Geramifar, Habibeh Vosoughi, Mahmood Kazemi Jahromi, Saeed Reza Kheradpisheh
Prostate-specific membrane antigen (PSMA) PET/CT imaging is widely used for quantitative image analysis, especially in radioligand therapy (RLT) for metastatic castration-resistant prostate cancer (mCRPC). Unknown features influencing PSMA biodistribution can be explored by analyzing segmented organs at risk (OAR) and lesions. Manual segmentation is time-consuming and labor-intensive, so automated
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Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer Cancer Imaging (IF 4.9) Pub Date : 2024-02-26 Zehua Zhang, Yuqin Zhang, Feixiang Hu, Tiansong Xie, Wei Liu, Huijing Xiang, Xiangxiang Li, Lei Chen, Zhengrong Zhou
To investigate the diagnostic value of diffusion kurtosis magnetic resonance imaging (DKI) and conventional diffusion-weighted imaging (DWI) for evaluating the response to first-line chemotherapy in unresectable pancreatic cancer. We retrospectively analyzed 21 patients with clinically and pathologically confirmed unresected pancreatic cancer who received palliative chemotherapy. Three-tesla MRI examinations
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Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors Cancer Imaging (IF 4.9) Pub Date : 2024-02-23 Subin Heo, Hyo Jung Park, Hyoung Jung Kim, Jung Hoon Kim, Seo Young Park, Kyung Won Kim, So Yeon Kim, Sang Hyun Choi, Jae Ho Byun, Song Cheol Kim, Hee Sang Hwang, Seung Mo Hong
Surgically resected grade 1–2 (G1-2) pancreatic neuroendocrine tumors (PanNETs) exhibit diverse clinical outcomes, highlighting the need for reliable prognostic biomarkers. Our study aimed to develop and validate CT-based radiomics model for predicting postsurgical outcome in patients with G1-2 PanNETs, and to compare its performance with the current clinical staging system. This multicenter retrospective
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[89Zr]Zr-PSMA-617 PET/CT characterization of indeterminate [68Ga]Ga-PSMA-11 PET/CT findings in patients with biochemical recurrence of prostate cancer: lesion-based analysis Cancer Imaging (IF 4.9) Pub Date : 2024-02-22 Florian Rosar, Caroline Burgard, Elena Larsen, Fadi Khreish, Robert J. Marlowe, Andrea Schaefer-Schuler, Stephan Maus, Sven Petto, Mark Bartholomä, Samer Ezziddin
The state-of-the-art method for imaging men with biochemical recurrence of prostate cancer (BCR) is prostate-specific membrane antigen (PSMA)-targeted positron emission tomography/computed tomography (PET/CT) with tracers containing short-lived radionuclides, e.g., gallium-68 (68Ga; half-life: ∼67.7 min). However, such imaging not infrequently yields indeterminate findings, which remain challenging
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Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer Cancer Imaging (IF 4.9) Pub Date : 2024-02-12 Hongyue Zhao, Yexin Su, Yan Wang, Zhehao Lyu, Peng Xu, Wenchao Gu, Lin Tian, Peng Fu
To investigate the association between Kirsten rat sarcoma viral oncogene homolog (KRAS) / neuroblastoma rat sarcoma viral oncogene homolog (NRAS) /v-raf murine sarcoma viral oncogene homolog B (BRAF) mutations and the tumor habitat-derived radiomic features obtained during pretreatment 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) in patients with colorectal cancer (CRC). We retrospectively
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Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma Cancer Imaging (IF 4.9) Pub Date : 2024-02-09 Zhaisong Gao, Pingping An, Runze Li, Fengyu Wu, Yuhui Sun, Jie Wu, Guangjie Yang, Zhenguang Wang
Tumor spread through air spaces (STAS) is associated with poor prognosis and impacts surgical options. We aimed to develop a user-friendly model based on 2-[18F] FDG PET/CT to predict STAS in stage I lung adenocarcinoma (LAC). A total of 466 stage I LAC patients who underwent 2-[18F] FDG PET/CT examination and resection surgery were retrospectively enrolled. They were split into a training cohort (n = 232
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Clinical application of machine learning models in patients with prostate cancer before prostatectomy Cancer Imaging (IF 4.9) Pub Date : 2024-02-08 Adalgisa Guerra, Matthew R. Orton, Helen Wang, Marianna Konidari, Kris Maes, Nickolas K. Papanikolaou, Dow Mu Koh
To build machine learning predictive models for surgical risk assessment of extracapsular extension (ECE) in patients with prostate cancer (PCa) before radical prostatectomy; and to compare the use of decision curve analysis (DCA) and receiver operating characteristic (ROC) metrics for selecting input feature combinations in models. This retrospective observational study included two independent data
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The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy Cancer Imaging (IF 4.9) Pub Date : 2024-02-07 Chenhan Hu, Xiaomeng Qiao, Chunhong Hu, Changhao Cao, Ximing Wang, Jie Bao
The detection of local recurrence for prostate cancer (PCa) patients following radical prostatectomy (RP) is challenging and can influence the treatment plan. Our aim was to construct and verify machine learning models with three different algorithms based on post-operative mpMRI for predicting local recurrence of PCa after RP and explore their potential clinical value compared with the Prostate Imaging
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Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals Cancer Imaging (IF 4.9) Pub Date : 2024-02-07 Yong-Sin Hu, Chia-An Wu, Dao-Chen Lin, Po-Wei Lin, Han-Jui Lee, Lo-Yi Lin, Chung-Jung Lin
Whole-body magnetic resonance imaging (WB-MRI) has emerged as a valuable tool for cancer detection. This study evaluated the prevalence rates of cancer in asymptomatic individuals undergoing WB-MRI according to the Oncologically Relevant Findings Reporting and Data System (ONCO-RADS) classifications in order to assess the reliability of the classification method. We retrospectively enrolled 2064 asymptomatic
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Correlation between remnant thyroid gland I-131 uptake and serum thyroglobulin levels: can we rely on I-131 whole body scans? Cancer Imaging (IF 4.9) Pub Date : 2024-01-30 Sang Hyun Hwang, KwanHyeong Jo, Jongtae Cha, Chun Goo Kang, Jiyoung Wang, Hojin Cho, Won Jun Kang, Arthur Cho
I-131 treatment (RAI) decision relies heavily on serum thyroglobulin (Tg) levels, as higher Tg levels are assumed to be correlated with higher I-131 uptake. Tg elevation, negative iodine scintigraphy (TENIS) definition is becoming more clinically relevant as alternative treatment methods are available. This study examined the correlation between Tg levels with I-131 uptake in remnant thyroid gland
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CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma Cancer Imaging (IF 4.9) Pub Date : 2024-01-26 Huai-wen Zhang, De-long Huang, Yi-ren Wang, Hao-shu Zhong, Hao-wen Pang
The present study utilized extracted computed tomography radiomics features to classify the gross tumor volume and normal liver tissue in hepatocellular carcinoma by mainstream machine learning methods, aiming to establish an automatic classification model. We recruited 104 pathologically confirmed hepatocellular carcinoma patients for this study. GTV and normal liver tissue samples were manually segmented
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Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers Cancer Imaging (IF 4.9) Pub Date : 2024-01-26 Yuze Ma, Feng Gao
GRPR is a type of seven-transmembrane G-protein coupled receptor that belongs to the bombesin protein receptor family. It is highly expressed in various cancers, including prostate cancer, breast cancer, lung cancer, gastrointestinal cancer, and so on. As a result, molecular imaging studies have been conducted using radiolabeled GRPR ligands for tumor diagnosis, as well as monitoring of recurrence
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Ultrasound microflow patterns help in distinguishing malignant from benign thyroid nodules Cancer Imaging (IF 4.9) Pub Date : 2024-01-25 Wanying Li, Luying Gao, Yiyan Du, Ying Wang, Xiao Yang, Hongyan Wang, Jianchu Li
Vascular features are not commonly used to evaluate thyroid nodules by conventional ultrasound due to the low sensitivity. Superb Microvascular Imaging (SMI) is a new ultrasonic Doppler technology that specializes in depicting microvessels and low-speed flow. The objective of this study was to explore the value of microflow features on SMI in differentiating malignant from benign thyroid nodules. One
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Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4–5 thyroid nodules Cancer Imaging (IF 4.9) Pub Date : 2024-01-23 Jia-Yu Ren, Wen-Zhi Lv, Liang Wang, Wei Zhang, Ying-Ying Ma, Yong-Zhen Huang, Yue-Xiang Peng, Jian-Jun Lin, Xin-Wu Cui
American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS, TR) 4 and 5 thyroid nodules (TNs) demonstrate much more complicated and overlapping risk characteristics than TR1-3 and have a rather wide range of malignancy possibilities (> 5%), which may cause overdiagnosis or misdiagnosis. This study was designed to establish and validate a dual-modal ultrasound (US) radiomics
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MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study Cancer Imaging (IF 4.9) Pub Date : 2024-01-23 Yunsong Liu, Yi Wang, Xin Wang, Liyan Xue, Huan Zhang, Zeliang Ma, Heping Deng, Zhaoyang Yang, Xujie Sun, Yu Men, Feng Ye, Kuo Men, Jianjun Qin, Nan Bi, Qifeng Wang, Zhouguang Hui
More than 40% of patients with resectable esophageal squamous cell cancer (ESCC) achieve pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT), who have favorable prognosis and may benefit from an organ-preservation strategy. Our study aims to develop and validate a machine learning model based on MR radiomics to accurately predict the pCR of ESCC patients after nCRT. In this
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Comparison of different classification systems for pulmonary nodules: a multicenter retrospective study in China Cancer Imaging (IF 4.9) Pub Date : 2024-01-22 Feipeng Song, Qian Yang, Tong Gong, Kai Sun, Wenjia Zhang, Mengxi Liu, Fajin Lv
To compare the diagnostic performance of Lung-RADS (lung imaging-reporting and data system) 2022 and PNI-GARS (pulmonary node imaging-grading and reporting system). Pulmonary nodules (PNs) were selected at four centers, namely, CQ Center (January 1, 2018-December 31, 2021), HB Center (January 1, 2021–June 30, 2022), SC Center (September 1, 2021–December 31, 2021), and SX Center (January 1, 2021–December
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Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions Cancer Imaging (IF 4.9) Pub Date : 2024-01-22 Jiaxuan Zhou, Yu Wen, Ruolin Ding, Jieqiong Liu, Hanzhen Fang, Xinchun Li, Kangyan Zhao, Qi Wan
Classifying and characterizing pulmonary lesions are critical for clinical decision-making process to identify optimal therapeutic strategies. The purpose of this study was to develop and validate a radiomics nomogram for distinguishing between benign and malignant pulmonary lesions based on robust features derived from diffusion images. The study was conducted in two phases. In the first phase, we
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Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemotherapy in patients with borderline resectable or locally advanced pancreatic cancer Cancer Imaging (IF 4.9) Pub Date : 2024-01-20 Xiaoyi Yan, Xianshui Fu, Yang Gui, Xueqi Chen, Yuejuan Cheng, Menghua Dai, Weibin Wang, Mengsu Xiao, Li Tan, Jing Zhang, Yuming Shao, Huanyu Wang, Xiaoyan Chang, Ke Lv
To develop a nomogram using pretreatment ultrasound (US) and contrast-enhanced ultrasound (CEUS) to predict the clinical response of neoadjuvant chemotherapy (NAC) in patients with borderline resectable pancreatic cancer (BRPC) or locally advanced pancreatic cancer (LAPC). A total of 111 patients with pancreatic ductal adenocarcinoma (PDAC) treated with NAC between October 2017 and February 2022 were
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Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance Cancer Imaging (IF 4.9) Pub Date : 2024-01-19 Ho Young Park, Hye Won Chung, Min A Yoon, Choong Guen Chee, Wanlim Kim, Jong-Seok Lee
Limited data exist on the optimal postoperative surveillance protocol for high-grade soft tissue sarcoma, particularly regarding the optimal imaging modality and imaging interval for detecting local recurrence. This study aimed to assess the benefit of short-term postoperative ultrasonography (USG) for detecting local recurrence in patients with high-grade soft tissue sarcoma. Patients with newly diagnosed
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Contrast-enhanced CT radiomics features to preoperatively identify differences between tumor and proximal tumor-adjacent and tumor-distant tissues of resectable esophageal squamous cell carcinoma Cancer Imaging (IF 4.9) Pub Date : 2024-01-19 Dan Gao, Bang-guo Tan, Xiao-qian Chen, Chuanqinyuan Zhou, Jing Ou, Wen-wen Guo, Hai-ying Zhou, Rui Li, Xiao-ming Zhang, Tian-wu Chen
Esophagectomy is the main treatment for esophageal squamous cell carcinoma (ESCC), and patients with histopathologically negative margins still have a relatively higher recurrence rate. Contrast-enhanced CT (CECT) radiomics might noninvasively obtain potential information about the internal heterogeneity of ESCC and its adjacent tissues. This study aimed to develop CECT radiomics models to preoperatively
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Effect of Hashimoto’s thyroiditis on the dual-energy CT quantitative parameters and performance in diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer Cancer Imaging (IF 4.9) Pub Date : 2024-01-18 Di Geng, Yan Zhou, Ting Shang, Guo-Yi Su, Shu-shen Lin, Yan Si, Fei-Yun Wu, Xiao-Quan Xu
To evaluate the effect of Hashimoto’s thyroiditis (HT) on dual-energy computed tomography (DECT) quantitative parameters of cervical lymph nodes (LNs) in patients with papillary thyroid cancer (PTC), and its effect on the diagnostic performance and threshold of DECT in preoperatively identifying metastatic cervical LNs. A total of 479 LNs from 233 PTC patients were classified into four groups: HT+/LN+
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Management of varices but not anticoagulation is associated with improved outcome in patients with HCC and macrovascular tumour invasion Cancer Imaging (IF 4.9) Pub Date : 2024-01-13 Lorenz Balcar, Arpad Mrekva, Bernhard Scheiner, Katharina Pomej, Tobias Meischl, Mattias Mandorfer, Thomas Reiberger, Michael Trauner, Dietmar Tamandl, Matthias Pinter
The value of bleeding prophylaxis and anticoagulation in patients with hepatocellular carcinoma (HCC) and macrovascular tumour invasion (MVI) is unclear. We evaluated the impact of anticoagulation on thrombosis progression, bleeding events, and overall mortality, and assessed the efficacy of adequate management of varices as recommended for patients with cirrhosis. HCC patients with MVI who had Child-Turcotte-Pugh
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Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model Cancer Imaging (IF 4.9) Pub Date : 2024-01-12 Weiwei Tian, Qinqin Yan, Xinyu Huang, Rui Feng, Fei Shan, Daoying Geng, Zhiyong Zhang
In solid-predominantly invasive lung adenocarcinoma (SPILAC), occult lymph node metastasis (OLNM) is pivotal for determining treatment strategies. This study seeks to develop and validate a fusion model combining radiomics and deep learning to predict OLNM preoperatively in SPILAC patients across multiple centers. In this study, 1325 cT1a-bN0M0 SPILAC patients from six hospitals were retrospectively
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Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting Cancer Imaging (IF 4.9) Pub Date : 2024-01-08 Lianhua Zhu, Nan Li, Yaqiong Zhu, Peng Han, Bo Jiang, Miao Li, Yukun Luo, Dirk-André Clevert, Xiang Fei
Ultrasound (US) has been widely used in screening and differential diagnosis of gallbladder wall thickening (GWT). However, the sensitivity and specificity for diagnosing wall-thickening type gallbladder cancer are limited, leading to delayed treatment or overtreatment. We aim to explore the value of high frame rate contrast enhanced ultrasound (H-CEUS) in distinguishing wall-thickening type gallbladder
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Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features Cancer Imaging (IF 4.9) Pub Date : 2024-01-08 Jeong Hyun Lee, Jaeseung Shin, Ji Hye Min, Woo Kyoung Jeong, Honsoul Kim, Seo-Youn Choi, Jisun Lee, Sungjun Hong, Kyunga Kim
To use clinical, radiographic, and CT radiomics features to develop and validate a preoperative prediction model for the early recurrence of pancreatic cancer. We retrospectively analyzed 190 patients (150 and 40 in the development and test cohort from different centers) with pancreatic cancer who underwent pancreatectomy between January 2018 and June 2021. Radiomics, clinical-radiologic (CR), and
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Histogram analysis based on unenhanced CT for identifying thymoma and lymphoma among prevascular mediastinal incidentalomas Cancer Imaging (IF 4.9) Pub Date : 2024-01-04 Ming Liu, Yang Zhang, Li-Heng Liu
To determine whether histogram analysis based on unenhanced CT can play a role in the differential diagnosis of thymoma and lymphoma from thymic hyperplasia and cyst (mean CT attenuation > 10 HU). This retrospective study included consecutive asymptomatic participants who have prevascular mediastinal lesions incidentally detected by unenhanced CT between December 2013 and August 2020, and with definitive
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Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome Cancer Imaging (IF 4.9) Pub Date : 2024-01-03 Yuna Lee, Jeong Hee Yoon, Seungchul Han, Ijin Joo, Jeong Min Lee
Percutaneous radiofrequency ablation (RFA) is pivotal for treating small malignant liver tumors, but tumors often remain inconspicuous on B-mode ultrasound (US). This study evaluates the potential of CEUS-CT/MRI fusion imaging (FI) to improve tumor visibility and the associated RFA outcomes for small (≤ 3 cm) malignant liver tumors that were inconspicuous on US. Between January 2019 and April 2021
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Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas Cancer Imaging (IF 4.9) Pub Date : 2024-01-02 Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, Rusdy Ghazali Malueka, Ery Kus Dwianingsih
Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecular data involves invasive biopsies, prompting a need for non-invasive diagnostic methods. This study aims to assess the potential of Visually AcceSAble Rembrandt Images (VASARI) MRI features to
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The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions Cancer Imaging (IF 4.9) Pub Date : 2024-01-02 Yaping Wu, Fangfang Fu, Nan Meng, Zhenguo Wang, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Meiyun Wang, Tao Sun
Commercialized total-body PET scanners can provide high-quality images due to its ultra-high sensitivity. We compared the dynamic, regular static, and delayed 18F-fluorodeoxyglucose (FDG) scans to detect lesions in oncologic patients on a total-body PET/CT scanner. In all, 45 patients were scanned continuously for the first 60 min, followed by a delayed acquisition. FDG metabolic rate was calculated
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Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model Cancer Imaging (IF 4.9) Pub Date : 2024-01-02 Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong, Yajia Gu
Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based segmentation and computed tomography (CT) radiomics-based ensemble learning model. This retrospective study included 602 stage IIIA-IVB NSCLC patients, 309 BM patients and 293 non-BM patients
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Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study Cancer Imaging (IF 4.9) Pub Date : 2023-12-20 Mohammad Talal Elhakim, Sarah Wordenskjold Stougaard, Ole Graumann, Mads Nielsen, Kristina Lång, Oke Gerke, Lisbet Brønsro Larsen, Benjamin Schnack Brandt Rasmussen
Artificial intelligence (AI) systems are proposed as a replacement of the first reader in double reading within mammography screening. We aimed to assess cancer detection accuracy of an AI system in a Danish screening population. We retrieved a consecutive screening cohort from the Region of Southern Denmark including all participating women between Aug 4, 2014, and August 15, 2018. Screening mammograms
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Pancreas CT assessment for pancreatic ductal adenocarcinoma resectability: effect of tube voltage and slice thickness on image quality and diagnostic performance Cancer Imaging (IF 4.9) Pub Date : 2023-12-18 Dong Ho Lee, Seung Soo Lee, Jeong Min Lee, Jin-Young Choi, Chang Hee Lee, Hong Il Ha, Bo-Kyeong Kang, Mi Hye Yu, Won Chang, Sae Jin Park
To assess the resectability of pancreatic ductal adenocarcinoma (PDAC), the evaluation of tumor vascular contact holds paramount significance. This study aimed to compare the image quality and diagnostic performance of high-resolution (HR) pancreas computed tomography (CT) using an 80 kVp tube voltage and a thin slice (1 mm) for assessing PDAC resectability, in comparison with the standard protocol
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T1 and T2 mapping for identifying malignant lymph nodes in head and neck squamous cell carcinoma Cancer Imaging (IF 4.9) Pub Date : 2023-12-17 Jiangming Qu, Boju Pan, Tong Su, Yu Chen, Tao Zhang, Xingming Chen, Xiaoli Zhu, Zhentan Xu, Tianjiao Wang, Jinxia Zhu, Zhuhua Zhang, Feng Feng, Zhengyu Jin
This study seeks to assess the utility of T1 and T2 mapping in distinguishing metastatic lymph nodes from reactive lymphadenopathy in patients with head and neck squamous cell carcinoma (HNSCC), using diffusion-weighted imaging (DWI) as a comparison. Between July 2017 and November 2019, 46 HNSCC patients underwent neck MRI inclusive of T1 and T2 mapping and DWI. Quantitative measurements derived from
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Sphericity of lymph nodes using 3D-CT predicts metastasis in lung cancer patients Cancer Imaging (IF 4.9) Pub Date : 2023-12-17 Kazuto Sugai, Yasuharu Sekine, Tomoyuki Kawamura, Takahiro Yanagihara, Yusuke Saeki, Shinsuke Kitazawa, Naohiro Kobayashi, Shinji Kikuchi, Yukinobu Goto, Hideo Ichimura, Yukio Sato
The presence of mediastinal lymph node metastasis is important because it is related to the treatment and prognosis of lung cancer. Although prevalently used, evaluation of lymph nodes is not always reliable. We introduced sphericity as a criterion for evaluating morphologic differences between metastatic and nonmetastatic nodes. We reviewed the cases of 66 patients with N2 disease and of 68 patients
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Regional lymph node density-based nomogram predicts prognosis in nasopharyngeal carcinoma patients without distant metastases Cancer Imaging (IF 4.9) Pub Date : 2023-12-15 Jie Ma, Rong Zhao, Yu-Lan Wu, Yang Liu, Guan-Qiao Jin, Dan-Ke Su
Nasopharyngeal carcinoma (NPC) is a relatively common type of cancer in Southern China, with local recurrence or distant metastases even after radical treatment; consequently, it is critical to identify the patients at higher risk for these events beforehand. This study aimed to assess the prognostic value of regional lymph node density (RLND) associated nomograms in NPC and to evaluate the utility
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Comparing endoscopic ultrasonography and double contrast-enhanced ultrasonography in the preoperative diagnosis of gastric stromal tumor Cancer Imaging (IF 4.9) Pub Date : 2023-12-15 Huiliao He, Tingting Tang, Xiaohua Wang, Lingling Zhou, Liang Wang
This study was designed to perform a comparative analysis between endoscopic ultrasonography (EUS) and double contrast-enhanced ultrasonography (DCEUS) for the preoperative diagnosis of gastric stromal tumors (GSTs). A retrospective study was conducted involving 139 patients with histologically confirmed GSTs. All patients preoperatively underwent DCEUS and EUS. The pathology reports were treated as
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Multiparametric bone MRI targeting aides lesion selection for CT-guided sclerotic bone biopsies in metastatic castrate resistant prostate cancer Cancer Imaging (IF 4.9) Pub Date : 2023-12-15 Ricardo Donners, Ines Figueiredo, Daniel Westaby, Dow-Mu Koh, Nina Tunariu, Suzanne Carreira, Johann S. de Bono, Nicos Fotiadis
Bone biopsies in metastatic castrate-resistant prostate cancer (mCRPC) patients can be challenging. This study’s objective was to prospectively validate a multiparametric bone MRI (mpBMRI) algorithm to facilitate target lesion selection in mCRPC patients with sclerotic bone disease for subsequent CT-guided bone biopsies. 20 CT-guided bone biopsies were prospectively performed between 02/2021 and 11/2021
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An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma Cancer Imaging (IF 4.9) Pub Date : 2023-12-15 Meng Qi, Yan Sha, Duo Zhang, Jiliang Ren
Accurate detection of cervical esophagus invasion (CEI) in HPSCC is challenging but crucial. We aimed to investigate the value of magnetic resonance imaging (MRI)-based radiomics for detecting CEI in patients with HPSCC. This retrospective study included 151 HPSCC patients with or without CEI, which were randomly assigned into a training (n = 101) or validation (n = 50) cohort. A total of 750 radiomics
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Evaluating the cost-effectiveness of [18F]FDG-PET/CT for investigation of persistent or recurrent neutropenic fever in high-risk haematology patients Cancer Imaging (IF 4.9) Pub Date : 2023-12-15 Michelle Tew, Abby P. Douglas, Jeff Szer, Ashish Bajel, Simon J. Harrison, Shio Yen Tio, Leon J. Worth, Rodney J. Hicks, David Ritchie, Monica A. Slavin, Karin A. Thursky, Kim Dalziel
A recent randomised trial demonstrated [18F]fluorodeoxyglucose positron-emission tomography in combination with low-dose CT (FDG-PET/CT), compared to standard of care computed tomography (CT) imaging, positively impacted antimicrobial management and outcomes of acute leukaemia and haematopoietic stem cell transplant recipients with persistent and recurrent neutropenic fever. We conducted an economic
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Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma Cancer Imaging (IF 4.9) Pub Date : 2023-12-14 Haijun Xu, Wenli Wu, Yanfeng Zhao, Zhou Liu, Dan Bao, Lin Li, Meng Lin, Ya Zhang, Xinming Zhao, Dehong Luo
Postsurgical recurrence is of great concern for papillary thyroid carcinoma (PTC). We aim to investigate the value of computed tomography (CT)-based radiomics features and conventional clinical factors in predicting the recurrence of PTC. Two-hundred and eighty patients with PTC were retrospectively enrolled and divided into training and validation cohorts at a 6:4 ratio. Recurrence was defined as
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Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas Cancer Imaging (IF 4.9) Pub Date : 2023-12-05 Lingmin Zheng, Peirong Jiang, Danjie Lin, Xiaodan Chen, Tianjin Zhong, Rufei Zhang, Jing Chen, Yang Song, Yunjing Xue, Lin Lin
The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before surgery. Forty-seven consecutive patients with pathologically confirmed meningiomas were prospectively enrolled
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Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer Cancer Imaging (IF 4.9) Pub Date : 2023-12-01 Mengmei Liu, Guanghong Yan, Yanli Li, Ruiming You, Lizhu Liu, Dafu Zhang, Guangjun Yang, Xingxiang Dong, Yingying Ding, Shan Yan, Dingyun You, Zhenhui Li
The correlation between the preoperative splenic area measured on CT scans and the overall survival (OS) of early-stage non-small cell lung cancer (NSCLC) patients remains unclear. A retrospective discovery cohort and validation cohort consisting of consecutive NSCLC patients who underwent resection and preoperative CT scans were created. The patients were divided into two groups based on the measurement
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Growth characteristics of early-stage (IA) lung adenocarcinoma and its value in predicting lymph node metastasis Cancer Imaging (IF 4.9) Pub Date : 2023-12-01 Mengxi Liu, Junhao Mu, Feipeng Song, Xiangling Liu, Weiwei Jing, Fajin Lv
We aim to compare the differences in growth characteristics between part-solid and solid lung adenocarcinoma, and to investigate the value of volume doubling time (VDT) or mass doubling time (MDT) in predicting lymph node (LN) metastasis and preoperative evaluation in patients of early-stage (IA) non-small cell lung cancer (NSCLC). We reviewed 8,653 cases of surgically resected stage IA lung adenocarcinoma
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Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient Cancer Imaging (IF 4.9) Pub Date : 2023-11-30 Kiyohisa Kamimura, Tsubasa Nakano, Tomohito Hasegawa, Masanori Nakajo, Chihiro Yamada, Yoshiki Kamimura, Kentaro Akune, Fumitaka Ejima, Takuro Ayukawa, Hiroaki Nagano, Koji Takumi, Masatoyo Nakajo, Nayuta Higa, Hajime Yonezawa, Ryosuke Hanaya, Mari Kirishima, Akihide Tanimoto, Takashi Iwanaga, Hiroshi Imai, Thorsten Feiweier, Takashi Yoshiura
This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic resonance imaging (MRI) parameters. A retrospective study was conducted involving 21 patients with PCNSLs and 66
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Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy Cancer Imaging (IF 4.9) Pub Date : 2023-11-26 Qianyu Peng, Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Zhengyu Jin, Hao Sun
To assess the effect of preoperative MRI with standardized Prostate Imaging–Reporting and Data System (PI-RADS) assessment on pathological outcomes in prostate cancer (PCa) patients who underwent radical prostatectomy (RP). This retrospective cohort study included patients who had undergone prostate MRI and subsequent RP for PCa between January 2017 and December 2022. The patients were divided into
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Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC Cancer Imaging (IF 4.9) Pub Date : 2023-11-17 Zhong-Jian Liao, Lun Lu, Yi-Ping Liu, Geng-geng Qin, Cun-geng Fan, Yan-Ping Liu, Ning-yang Jia, Ling Zhang
To predict the microvascular invasion (MVI) in patients with cHCC-ICC. A retrospective analysis was conducted on 119 patients who underwent CT enhancement scanning (from September 2006 to August 2022). They were divided into MVI-positive and MVI-negative groups. The proportion of patients with CEA elevation was higher in the MVI-positive group than in the MVI-negative group, with a statistically significant
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Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection Cancer Imaging (IF 4.9) Pub Date : 2023-11-17 Francisco Carrillo-Perez, Francisco M. Ortuno, Alejandro Börjesson, Ignacio Rojas, Luis Javier Herrera
Following publication of the original article [1], we have been notified of a change needed in the Funding section. Originally published Funding section: This work was funded by the Spanish Ministry of Sciences, Innovation and Universities under Project PID2021-128317OB-I00 and the projects from Junta de Andalucia P20-00163. Corrected Funding section: This work is part of grant PID2021-128317OB-I00
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Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI Cancer Imaging (IF 4.9) Pub Date : 2023-11-14 Sungmin Woo, Anton S. Becker, Jeeban P. Das, Soleen Ghafoor, Yuki Arita, Nicole Benfante, Natalie Gangai, Min Yuen Teo, Alvin C. Goh, Hebert A. Vargas
Neoadjuvant chemotherapy (NAC) before radical cystectomy is standard of care in patients with muscle-invasive bladder cancer (MIBC). Response assessment after NAC is important but suboptimal using CT. We assessed MRI without vs. with intravenous contrast (biparametric [BP] vs. multiparametric [MP]) for identifying residual disease on cystectomy and explored its prognostic role. Consecutive MIBC patients
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Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy Cancer Imaging (IF 4.9) Pub Date : 2023-11-06 Yin-Kai Chao, Chun-Bi Chang, Yu-Chuan Chang, Sheng-Chieh Chan, Chien-Hung Chiu, Shu-Hang Ng, Jason Chia-Hsun Hsieh, Jen-Hung Wang
To investigate the value of [18F]FDG-PET/MRI in predicting treatment response and survival in patients with primary M0 esophageal squamous cell carcinoma. Patients with esophageal squamous cell carcinoma received [18F]FDG-PET/MRI at baseline and during neoadjuvant or definitive chemoradiotherapy. The treatment response was classified according to the Response Evaluation Criteria for Solid Tumors 1
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Evaluating the value of 18F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard Cancer Imaging (IF 4.9) Pub Date : 2023-11-03 Liang Luo, Anqi Zheng, Ruxi Chang, Yunxuan Li, Jungang Gao, Zhuonan Wang, Xiaoyi Duan
Prostate-specific membrane antigen (PSMA) PET/CT is a highly regarded radionuclide imaging modality for prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of 18F-PSMA-1007 PET/CT in detecting intraprostatic lesions of PCa using radical prostatectomy (RP) specimens as a reference standard and to establish an optimal maximum standardized uptake value (SUVmax) cutoff for distinguishing
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Imaging glymphatic response to glioblastoma Cancer Imaging (IF 4.9) Pub Date : 2023-10-30 Jasleen Kaur, Guangliang Ding, Li Zhang, Yong Lu, Hao Luo, Lian Li, Edward Boyd, Qingjiang Li, Min Wei, Zhenggang Zhang, Michael Chopp, Quan Jiang
The glymphatic system actively exchanges cerebrospinal fluid (CSF) and interstitial fluid (ISF) to eliminate toxic interstitial waste solutes from the brain parenchyma. Impairment of the glymphatic system has been linked to several neurological conditions. Glioblastoma, also known as Glioblastoma multiforme (GBM) is a highly aggressive form of malignant brain cancer within the glioma category. However
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Head-to-head comparison of 18F-FAPI and 18F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma Cancer Imaging (IF 4.9) Pub Date : 2023-10-30 Jing Zhang, Shuqin Jiang, Mengsi Li, Haibao Xue, Xi Zhong, Shuyi Li, Hao Peng, Jiuceng Liang, Zhidong Liu, Songquan Rao, Haipeng Chen, Zewen Cao, Yuanfeng Gong, Guoshuo Chen, Rusen Zhang, Linqi Zhang
Fluorine 18 (18F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) has limitations in staging hepatocellular carcinoma (HCC). The recently introduced 18F-labeled fibroblast-activation protein inhibitor (FAPI) has shown promising prospects in detection of HCC lesions. This study aimed to investigate the initial staging and restaging performance of 18F-FAPI PET/CT compared
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A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas Cancer Imaging (IF 4.9) Pub Date : 2023-10-27 Yin Li, Kaiyi Zheng, Shuang Li, Yongju Yi, Min Li, Yufan Ren, Congyue Guo, Liming Zhong, Wei Yang, Xinming Li, Lin Yao
The anatomical infiltrated brain area and the boundaries of gliomas have a significant impact on clinical decision making and available treatment options. Identifying glioma-infiltrated brain areas and delineating the tumor manually is a laborious and time-intensive process. Previous deep learning-based studies have mainly been focused on automatic tumor segmentation or predicting genetic/histological