Article
Radiology, Nuclear Medicine & Medical Imaging
Kristine E. Fasmer, Ankush Gulati, Julie A. Dybvik, Kari S. Wagner-Larsen, Njal Lura, Oyvind Salvesen, David Forsse, Jone Trovik, Johanna M. A. Pijnenborg, Camilla Krakstad, Ingfrid S. Haldorsen
Summary: This study evaluated the diagnostic performance of four different preoperative imaging workups for predicting lymph node metastases in endometrial cancer. The results showed that selective use of [F-18]FDG-PET/CT in patients with high-risk MRI findings detected lymph node metastases better than MRI alone.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Guotao Yin, Yingchao Song, Xiaofeng Li, Lei Zhu, Qian Su, Dong Dai, Wengui Xu
Summary: This study developed an SVM model based on FDG PET/CT images to predict metastatic LNs in NSCLC patients. The best model was simplified into a scoring method, which may assist clinicians in determining the clinical staging of patients with NSCLC more easily.
EUROPEAN RADIOLOGY
(2021)
Article
Multidisciplinary Sciences
Sushant Kumar Das, Ke-Wei Fang, Long Xu, Bing Li, Xin Zhang, Han-Feng Yang
Summary: This study integrated radiomics features from different regions of the tumor to build an integrative nomogram for predicting LN metastasis, showing improved discriminative performance and prediction ability. The combination of different features from GTV, PTV, and LN, along with clinical parameters, demonstrated an increase in discriminatory ability and predictive performance in predicting LN status in adenocarcinoma patients with clinical stage cT1N0M0, highlighting the importance of information integration from multiple sources in building prediction models.
SCIENTIFIC REPORTS
(2021)
Article
Medicine, General & Internal
Antoine Tardieu, Lobna Ouldamer, Francois Margueritte, Lauranne Rossard, Aymeline Lacorre, Nicolas Bourdel, Guillaume Lades, Camille Sallee, Jacques Monteil, Tristan Gauthier
Summary: PET-CT has high specificity but low sensitivity for preoperative lymph node assessment in patients with EOC. Its performance could potentially reduce the extent of lymphadenectomy in patients free of lymph node metastases.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Oncology
Yeqing Zhu, Qiang Cai, Yong Wang, Nan You, Rowena Yip, Dong-Seok Lee, Emanuela Taioli, Raja Flores, Claudia I. Henschke, David F. Yankelevitz
Summary: In this study, it was found that CT and SUVmax had low sensitivity but high specificity for predicting MLN metastases in solid NSCLCs with diameters between 10.1-30.0 mm. The optimal cutoff values for prediction were determined to be >18.9 mm for CT maximum short-axis diameter and >=11.7 for highest SUVmax.
Article
Radiology, Nuclear Medicine & Medical Imaging
Florian N. Loch, Katharina Beyer, Martin E. Kreis, Carsten Kamphues, Wael Rayya, Christian Schineis, Janosch Jahn, Moritz Tronser, Fabian H. J. Elsholtz, Bernd Hamm, Rolf Reiter
Summary: This study investigates the diagnostic performance of Node-RADS compared to individual criteria for assessing regional lymph nodes in gastric cancer. The findings suggest that structured reporting of combined size and configuration criteria slightly improves overall diagnostic performance.
EUROPEAN RADIOLOGY
(2023)
Article
Urology & Nephrology
Dennie Meijer, Hilda A. de Barros, Pim J. van Leeuwen, Yves J. L. Bodar, Henk G. van der Poel, Maarten L. Donswijk, N. Harry Hendrikse, R. Jeroen A. van Moorselaar, Jakko A. Nieuwenhuijzen, Daniela E. Oprea-Lager, Andre N. Vis
Summary: The study aimed to determine whether an extended pelvic lymph node dissection during robot-assisted laparoscopic radical prostatectomy could be omitted in patients with no lymph node metastasis shown in preoperative prostate specific membrane antigen positron emission tomography. Results showed that the negative predictive value of PSMA PET in patients with intermediate risk prostate cancer was higher, indicating a potential to avoid unnecessary extended lymph node dissection in these patients.
JOURNAL OF UROLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Antoine Girard, Laurent Dercle, Helena Vila-Reyes, Lawrence H. Schwartz, Astrid Girma, Marc Bertaux, Camelia Radulescu, Thierry Lebret, Olivier Delcroix, Mathieu Rouanne
Summary: By using machine learning, we developed a combination of criteria that accurately identifies pelvic lymph node involvement in bladder cancer patients. The diagnostic performance of this combination is comparable to that of a consensus of experts on [F-18]FDG PET/CT scans.
EUROPEAN RADIOLOGY
(2023)
Article
Medicine, General & Internal
Shih-Lung Chen, Tsan-Yu Hsieh, Shih-Wei Yang
Summary: This study reported a rare case of low-grade ovarian serous adenocarcinoma metastasizing to lymph nodes in the neck region. The diagnosis was confirmed through ultrasound-guided fine needle aspiration cytology and imaging examinations. It highlights the importance of considering ovarian cancer as a differential diagnosis for neck masses.
Article
Oncology
Yubizhuo Wang, Jiayuan Shao, Pan Wang, Lintao Chen, Mingliang Ying, Siyuan Chai, Shijian Ruan, Wuwei Tian, Yongna Cheng, Hongbin Zhang, Xiuming Zhang, Xiangming Wang, Yong Ding, Wenjie Liang, Liming Wu
Summary: Two classifiers based on computed tomography images were developed successfully, showing high performance in predicting lymph node staging for hilar cholangiocarcinoma patients, which will serve as reliable evaluation tools to enhance decision-making in clinical practice.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ieun Yoon, Jae Seok Bae, Jeongin Yoo, Dong Ho Lee, Se Hyung Kim
Summary: Studies suggest that compared to MDCT alone, MDCT combined with [F-18]FDG PET/MRI can improve the diagnostic accuracy for preoperative M staging and resectability in patients with recurrent gastric cancer, with a significant advantage in evaluating M staging.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lili Wang, Tiancheng Li, Junjie Hong, Mingyue Zhang, Mingli Ouyang, Xiangwu Zheng, Kun Tang
Summary: This study developed a radiomics model based on PET images for predicting lymph node metastasis in solid lung adenocarcinoma patients. The model demonstrated good predictive accuracy and clinical utility in preoperative prediction of occult lymph node metastasis.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Anatomy & Morphology
Tao He, Jiangming Sun, Jie Wu, Hui Wang, Changping Liang, Huan Wang, Shujun Li, Shunbing Su
Summary: This study compared the clinical application value of PET-CT and MRI in the diagnosis of cervical cancer lymph node metastasis. The results showed that PET-CT had slightly higher sensitivity and specificity than MRI, and the AUC value was significantly higher than MRI.
MICROSCOPY RESEARCH AND TECHNIQUE
(2022)
Article
Oncology
Yukitoshi Todate, Michitaka Honda, Toshihiko Takada, Toshiyuki Saginoya, Hisashi Yamaguchi, Koichi Hamada, Yujiro Nakayama, Hidetaka Kawamura, Yoshinao Takano, Katsuhiko Hashimoto
Summary: The study found that PET-CT has limited diagnostic performance for lymph node metastasis in colorectal cancer patients, but still holds some value in diagnosing metastasis in swollen lymph nodes.
JOURNAL OF SURGICAL ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuhan Yang, Bo Zheng, Yueyi Li, Yuan Li, Xuelei Ma
Summary: This study aimed to develop DL-based CAD systems for pathological diagnosis of cervical lymph nodes using PET/CT images. The DL-CNN and DL-SVM models showed favorable diagnostic performance, with DL-SVM model achieving better results after combining DL-based and handcrafted features.