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Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy Cancer Imaging (IF 4.9) Pub Date : 2024-04-23 Kang Huang, Xuehan Huang, Chengbing Zeng, Siyan Wang, Yizhou Zhan, Qingxin Cai, Guobo Peng, Zhining Yang, Li Zhou, Jianzhou Chen, Chuangzhen Chen
Our previous study suggests that tumor CD8+ T cells and macrophages (defined as CD68+ cells) infiltration underwent dynamic and heterogeneous changes during concurrent chemoradiotherapy (CCRT) in cervical cancer patients, which correlated with their short-term tumor response. This study aims to develop a CT image-based radiomics signature for such dynamic changes. Thirty cervical squamous cell carcinoma
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Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study Cancer Imaging (IF 4.9) Pub Date : 2024-04-16 Jeong Won Lee, Hyein Ahn, Ik Dong Yoo, Sun-pyo Hong, Moo-Jun Baek, Dong Hyun Kang, Sang Mi Lee
Imaging features of colorectal cancers on 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography/computed tomography (PET/CT) have been considered to be affected by tumor characteristics and tumor immune microenvironment. However, the relationship between PET/CT imaging features and immune reactions in tumor tissue has not yet been fully evaluated. This study investigated the association
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Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study Cancer Imaging (IF 4.9) Pub Date : 2024-04-16 Zhen Tian, Yifan Cheng, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Qiannan Sun, Daorong Wang
Combining conventional radiomics models with deep learning features can result in superior performance in predicting the prognosis of patients with tumors; however, this approach has never been evaluated for the prediction of metachronous distant metastasis (MDM) among patients with retroperitoneal leiomyosarcoma (RLS). Thus, the purpose of this study was to develop and validate a preoperative contrast-enhanced
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Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence Cancer Imaging (IF 4.9) Pub Date : 2024-04-11 Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Marcel Maenle, Thomas Beyer
The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) system, represents a paradigm shift in medical imaging. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing clinical and research applications of TB-PET imaging. Clinically, TB-PET’s superior sensitivity facilitates rapid imaging, low-dose imaging protocols, improved
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A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma Cancer Imaging (IF 4.9) Pub Date : 2024-04-11 Xiaoli Li, Xianglong Shi, Yanmei Wang, Jing Pang, Xia Zhao, Yuchao Xu, Qiyuan Li, Ning Wang, Feng Duan, Pei Nie
The preoperative identification of tumor grade in chondrosarcoma (CS) is crucial for devising effective treatment strategies and predicting outcomes. The study aims to build and validate a CT-based radiomics nomogram (RN) for the preoperative identification of tumor grade in CS, and to evaluate the correlation between the RN-predicted tumor grade and postoperative outcome. A total of 196 patients (139
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MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy Cancer Imaging (IF 4.9) Pub Date : 2024-04-08 Xinxin Zhang, Yichen Wang, Yilin Wang, Jie Zhang, Jin Zhang, Lianyu Zhang, Sicong Wang, Jianzhong Shou, Yan Chen, Xinming Zhao
The Vesical Imaging-Reporting and Data System (VI-RADS) has demonstrated effectiveness in predicting muscle invasion in bladder cancer before treatment. The urgent need currently is to evaluate the muscle invasion status after neoadjuvant chemotherapy (NAC) for bladder cancer. This study aims to ascertain the accuracy of VI-RADS in detecting muscle invasion post-NAC treatment and assess its diagnostic
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Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials Cancer Imaging (IF 4.9) Pub Date : 2024-04-05 Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H. van Duijnhoven, Esther H. lips, Emma J. Groen, Marja C. J. van Oirsouw, Shelley E. Hwang, Joseph Y. Lo, Jelle Wesseling, Ritse M. Mann, Jonas Teuwen
Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS lesions never will. Therefore, four clinical trials (COMET, LORIS, LORETTA, AND LORD) test whether active surveillance for women with low-risk Ductal carcinoma In Situ is safe (E. S. Hwang et al., BMJ Open, 9: e026797, 2019, A. Francis et al., Eur J Cancer. 51: 2296–2303, 2015, Chizuko Kanbayashi et al. The international
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Bubble-like lucency in pulmonary ground glass nodules on computed tomography: a specific pattern of air-containing space for diagnosing neoplastic lesions Cancer Imaging (IF 4.9) Pub Date : 2024-04-02 Si-zhu Liu, Shi-hai Yang, Min Ye, Bin-jie Fu, Fa-jin Lv, Zhi-gang Chu
To investigate the computed tomography (CT) characteristics of air-containing space and its specific patterns in neoplastic and non-neoplastic ground glass nodules (GGNs) for clarifying their significance in differential diagnosis. From January 2015 to October 2022, 1328 patients with 1,350 neoplastic GGNs and 462 patients with 465 non-neoplastic GGNs were retrospectively enrolled. Their clinical and
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Optimizing PSMA scintigraphy for resource limited settings – a retrospective comparative study Cancer Imaging (IF 4.9) Pub Date : 2024-04-01 Olumayowa U. Kolade, Anita Brink, Akinwale O. Ayeni, Stuart More, Jennifer Holness
PSMA PET/CT is the most sensitive molecular imaging modality for prostate cancer (PCa), yet much of the developing world has little or no access to PET/CT. [99mTc]Tc-PSMA scintigraphy (PS) is a cheaper and more accessible gamma camera-based alternative. However, many resource-constrained departments have only a single camera without tomographic or hybrid imaging functionality, and camera time is frequently
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HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding Cancer Imaging (IF 4.9) Pub Date : 2024-03-28 Mingyuan Zhao, Binyue Zhang, Jianqiang Shi, Xiaoxian Tang, Hongxia Li, Shengwen Li, Yunfeng Yang, Yi Han, Rong Wang, Jian Xun, Kai Zhang, Xirun Wu, Jiang Zhao
Risk factors for re-bleeding and death after acute variceal bleeding (AVB) in cirrhotic HCC patients are not fully understood.We aimed to (1) explore how the combination of high-risk esophageal varices, HCC status, and portal vein tumor thrombus (i.e., HCC Portal Hypertension Imaging Score [HCCPHTIS]) helps predict increased risk of variceal re-bleeding and mortality; (2) assess predictability and
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Habitat-based radiomics analysis for evaluating immediate response in colorectal cancer lung metastases treated by radiofrequency ablation Cancer Imaging (IF 4.9) Pub Date : 2024-03-26 Haozhe Huang, Hong Chen, Dezhong Zheng, Chao Chen, Ying Wang, Lichao Xu, Yaohui Wang, Xinhong He, Yuanyuan Yang, Wentao Li
To create radiomics signatures based on habitat to assess the instant response in lung metastases of colorectal cancer (CRC) after radiofrequency ablation (RFA). Between August 2016 and June 2019, we retrospectively included 515 lung metastases in 233 CRC patients who received RFA (412 in the training group and 103 in the test group). Multivariable analysis was performed to identify independent risk
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A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images Cancer Imaging (IF 4.9) Pub Date : 2024-03-26 I-Cheng Lee, Yung-Ping Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Chien-An Liu, Jia-Guan Huang, Rheun-Chuan Lee, Yee Chao, Shinn-Ying Ho, Yi-Hsiang Huang
Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning based network to detect HCC from dynamic CT images. Dynamic CT images of 595 patients with HCC were used. Tumors in dynamic CT images were labeled by radiologists. Patients were randomly divided into
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Prognostic PET [11C]-acetate uptake is associated with hypoxia gene expression in patients with late-stage hepatocellular carcinoma – a bench to bed study Cancer Imaging (IF 4.9) Pub Date : 2024-03-22 Keith Wan Hang Chiu, Kel Vin Tan, Xinxiang Yang, Xiaoqiang Zhu, Jingjing Shi, Chi-Leung Chiang, Lawrence Chan, Yuan Hui, Pek-Lan Khong, Kwan Man, Jason Wing Hon Wong
Positron Emission Tomography (PET) with combined [18F]-FDG and [11C]-acetate (dual-tracer) is used for the management of hepatocellular carcinoma (HCC) patients, although its prognostic value and underlying molecular mechanism remain poorly understood. We hypothesized that radiotracer uptake might be associated with tumor hypoxia and validated our findings in public and local human HCC cohorts. Twelve
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Correction: 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 : 2024-03-21 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
Following publication of the original article [1], we were notified that the description and order of the supplementary files was incorrect. This has now been rectified. The original article has been corrected. Carrillo–Perez, et al. Cancer Imaging. 2023;23:66. https://doi.org/10.1186/s40644-024-00669-9. Article PubMed PubMed Central Google Scholar Download referencesAuthor notes Ji Eun Park and Sung
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Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets Cancer Imaging (IF 4.9) Pub Date : 2024-03-20 Chia-Ying Lin, Shu-Mei Guo, Jenn-Jier James Lien, Tzung-Yi Tsai, Yi-Sheng Liu, Chao-Han Lai, I-Lin Hsu, Chao-Chun Chang, Yau-Lin Tseng
Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images. In this secondary analysis, three lung nodule datasets, including Lung Nodule Analysis 2016 (LUNA16), Lung Nodule Received Operation (LNOP), and Lung Nodule in Health Examination (LNHE), were used to train
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The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients Cancer Imaging (IF 4.9) Pub Date : 2024-03-20 Jiang Ji, Luying Gao, Ruifeng Liu, Xinlong Shi, Liyuan Ma, Aonan Pan, Naishi Li, Chunhao Liu, Xiaoyi Li, Meng Yang, Yu Xia, Yuxin Jiang
Primary thyroid lymphoma (PTL) is a rare malignant disorder, and ultrasound plays an important role in PTL diagnosis and follow-up surveillance. Prediction of refractory/relapse events in PTL patients is an essential issue, yet no ultrasonic PTL features have been discovered to be related to refractory/local relapse events. From January 2008 to September 2022, newly diagnosed PTL patients in our center
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Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreatic ductal adenocarcinoma Cancer Imaging (IF 4.9) Pub Date : 2024-03-20 Sheng Li, Dongping Jiang, Linling Jiang, Shumei Yan, Lizhi Liu, Guangying Ruan, Xuhui Zhou, Shuiqing Zhuo
To investigate the diagnostic value of dual-energy computed tomography (DECT) quantitative parameters in the identification of regional lymph node metastasis in pancreatic ductal adenocarcinoma (PDAC). This retrospective diagnostic study assessed 145 patients with pathologically confirmed pancreatic ductal adenocarcinoma from August 2016–October 2020. Quantitative parameters for targeted lymph nodes
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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