Review
Oncology
Chiara Romei, Salvatore Claudio Fanni, Federica Volpi, Alessio Milazzo, Caterina Aida D'Amore, Leonardo Colligiani, Emanuele Neri, Annalisa De Liperi, Giulia Maria Stella, Chandra Bortolotto
Summary: Computed tomography (CT) plays a crucial role in the diagnosis, staging, and assessment of therapy response in malignant pleural mesothelioma, but has limitations such as poor soft tissue contrast and lack of consideration for the tumor's complex growth pattern. Computer-based methods show potential in overcoming these limitations, while MRI may replace CT in various clinical settings due to its high soft tissue contrast.
Article
Surgery
Nadia Russolillo, Alessandro Borello, Serena Langella, Michele Casella, Roberto Lo Tesoriere, Alessandro Ferrero
Summary: The study showed that preoperative MRI in CRLMs patients undergoing LLR can predict liver metastases, while LUS can additionally detect new nodules, helping adjust surgical strategy and improve accuracy.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2021)
Article
Medicine, General & Internal
Ji Yeon Park
Summary: This study evaluated the measurement of cancer size by computer-aided diagnosis (CAD) and radiologist on breast magnetic resonance imaging (MRI) relative to histopathology. The results showed a very strong correlation between CAD and radiologist measurements with pathology. Radiologist-measured size was significantly more accurate than CAD size. However, both CAD and radiologist measurements can be inaccurate for cancers with specific factors such as extensive intraductal component (EIC) or non-mass enhancement.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hye Mi Gweon, Na Lae Eun, Ji Hyun Youk, Joon Jeong, Soong June Bae, Sung Gwe Ahn, Jeong-Ah Kim, Eun Ju Son
Summary: The study demonstrates that abbreviated breast magnetic resonance imaging (MRI) provides significant diagnostic value for patients with suspicious microcalcifications on screening mammography, leading to increased positive predictive value and a reduction in false-positive diagnoses.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lucia Manganaro, Yulia Lakhman, Nishat Bharwani, Benedetta Gui, Silvia Gigli, Valeria Vinci, Stefania Rizzo, Aki Kido, Teresa Margarida Cunha, Evis Sala, Andrea Rockall, Rosemarie Forstner, Stephanie Nougaret
Summary: The ESUR female pelvic imaging working group updated their recommendations in 2019 based on >= 80% consensus among experts, highlighting the main role of MRI in initial staging, response monitoring, and evaluation of disease recurrence, while emphasizing the importance of whole-body FDG-PET in detecting lymph nodes and distant metastases.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Wei Meng, Yunfeng Sun, Haibin Qian, Xiaodan Chen, Qiujie Yu, Nanding Abiyasi, Shaolei Yan, Haiyong Peng, Hongxia Zhang, Xiushi Zhang
Summary: This study used Unet model and Gradient Tree Boosting to segment and classify 264 breast masses, with GTB classifier performing better than other classifiers. The combination of texture features with clinical features was found to be the optimal method for differentiating breast cancer subtypes.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaowen Ma, Jing Gong, Feixiang Hu, Wei Tang, Yajia Gu, Weijun Peng
Summary: The study developed and validated a clinical-radiomics model based on multiparametric MRI and clinical information for the pretreatment differential diagnosis of breast phyllodes tumors (PTs). The model showed excellent diagnostic efficiency in both the training and validation cohorts, suggesting its potential as a noninvasive tool for assessing PTs grades.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Reproductive Biology
Xuefen Liu, Tianping Wang, Guofu Zhang, Keqin Hua, Hua Jiang, Shaofeng Duan, Jun Jin, He Zhang
Summary: This study evaluated the ability of T2WI-based radiomics using 2D and 3D lesion segmentation methods in discriminating between ovarian borderline tumors and malignancies. The results showed that these radiomic features can help clinicians accurately differentiate between these two types of tumors.
JOURNAL OF OVARIAN RESEARCH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jannis Bodden, Jan Neumann, Michael Rasper, Alexander A. Fingerle, Carolin Knebel, Rudiger von Eisenhart-Rothe, Katja Specht, Carolin Mogler, Christine Bollwein, Benedikt J. Schwaiger, Alexandra S. Gersing, Klaus Woertler
Summary: This study evaluated the performance and reproducibility of MR imaging features in diagnosing joint invasion by malignant bone tumors. The direct visualization of intrasynovial tumor tissue and intraarticular bone destruction were found to be the best predictors for joint invasion. Combining highly specific direct signs improved sensitivity without sacrificing specificity. Indirect signs were less predictive and specific.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Najim El Khababi, Regina G. H. Beets-Tan, Renaud Tissier, Max J. Lahaye, Monique Maas, Luis Curvo-Semedo, Raphaela C. Dresen, Joost J. M. van Griethuysen, Stephanie Nougaret, Geerard L. Beets, Baukelien van Triest, Stuart A. Taylor, Doenja M. J. Lambregts
Summary: This study aims to explore the potential impact of a dedicated virtual training course on MRI staging confidence and performance in rectal cancer. The results show that although most of the findings are not statistically significant, there is a mild increase in diagnostic accuracy for most staging variables after completing the course, ranging from +2% to +17%. There is also an improvement in interobserver agreement for almost all variables when comparing the pre- and post-course. The perceived difficulty level decreases significantly after completion of the course, indicating an improved diagnostic confidence.
EUROPEAN RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Linda Osei Poku, Yongna Cheng, Kai Wang, Xilin Sun
Summary: The regulation of sodium ion influx and efflux in cells plays a crucial role in cell function and cancer metastasis. Changes in sodium ion concentration could serve as a potential biomarker for cancer diagnosis and prognosis. Na-23-MRI technology shows promise in noninvasive in vivo assessment of cancer therapy and monitoring of cancer immunotherapy.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Juan Zhou, Mei Li, Dongqing Liu, Fugeng Sheng, Jianming Cai
Summary: This study aimed to explore the differential diagnosis of benign and malignant papillary neoplasms on MRI with non-mass enhancement. The results showed that papillary carcinoma mostly exhibited internal clustered ring enhancement on MRI, while papilloma mostly showed internal clumped enhancement. Mammography had limited diagnostic value, and suspected calcification occurred mostly in papilloma.
ACADEMIC RADIOLOGY
(2023)
Article
Medicine, General & Internal
Eiko Nishioka, Masakatsu Tsurusaki, Ryohei Kozuki, Sung-Woon Im, Atsushi Kono, Kazuhiro Kitajima, Takamichi Murakami, Kazunari Ishii
Summary: The accuracy of tumor staging in intrahepatic cholangiocarcinoma (ICC) was examined using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT). The study found that PET-CT had higher accuracy in diagnosing regional lymph node metastases compared to CT and MRI, while its accuracy in other indicators was similar to CT and MRI.
Article
Medicine, General & Internal
Qing-Yao Wu, Shang-Long Liu, Pin Sun, Ying Li, Guang-Wei Liu, Shi-Song Liu, Ji-Lin Hu, Tian-Ye Niu, Yun Lu
Summary: This study aimed to establish an automatic diagnostic platform for predicting preoperative T staging of rectal cancer through a deep neural network. Using Faster R-CNN, an automatic diagnosis platform was successfully established for T staging of rectal cancer with high AUC values in different planes, indicating the potential effectiveness of AI in building such platforms.
CHINESE MEDICAL JOURNAL
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hanyu Jiang, Bin Song, Yun Qin, Jie Chen, Dong Xiao, Hong Ha, Xijiao Liu, Omobonike Oloruntoba-Sanders, Alaattin Erkanli, Andrew J. Muir, Mustafa R. Bashir
Summary: The study aimed to develop diagnostic models for intrahepatic cholangiocarcinoma (M-CC) by combining serum tumor markers and LI-RADS imaging features, which showed high diagnostic performance for M-CC. Significant predictors of M-CC were identified as CA19-9, AFP, and absence of blood products in mass in LI-RADS, with their combination achieving high sensitivity and specificity.
EUROPEAN RADIOLOGY
(2021)