Article
Radiology, Nuclear Medicine & Medical Imaging
Lars Kurch, Andreas Huettmann, Thomas W. Georgi, Jan Rekowski, Osama Sabri, Christine Schmitz, Regine Kluge, Ulrich Duehrsen, Dirk Hasenclever
Summary: In diffuse large B-cell lymphoma, continuous scales such as qPET and Delta SUVmax are more suitable for predicting treatment outcomes based on interim PET scans compared to the ordinal Deauville scale. The positive predictive value curves for qPET and Delta SUVmax were found to be similar, with both methods identifying less than 15% of patients as poor responders. The study suggests that continuous scales offer more accurate outcome predictions in this context.
JOURNAL OF NUCLEAR MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chong Jiang, Xiangjun Huang, Ang Li, Yue Teng, Chongyang Ding, Jianxin Chen, Jingyan Xu, Zhengyang Zhou
Summary: This study investigates the prognostic value of PET radiomics feature in the prognosis of primary gastrointestinal diffuse large B cell lymphoma (PGI-DLBCL) patients treated with R-CHOP-like regimen. The results show that the newly developed radiomics signatures are independent predictors of progression-free survival (PFS) and overall survival (OS) for PGI-DLBCL patients. Additionally, the combined model incorporating clinical and metabolic factors can predict patient prognosis and may aid in personalized treatment decision-making.
EUROPEAN RADIOLOGY
(2022)
Article
Medicine, General & Internal
Cheng-Han Wu, Jyh-Pyng Gau, Chieh-Lin Jerry Teng, Yu-Hsuan Shih, Yu-Chen Su, Ren-Ching Wang, Tsung-Chih Chen
Summary: Double-hit genetics leads to reduced CR and OS in DLBCL patients. Bulky disease and positive DE immunophenotype are associated with DH genetics. Combination of bulky disease and positive DE immunophenotype predicts DH genetics.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Elisabeth A. G. Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Henrica C. W. de Vet, Otto S. Hoekstra, Ronald Boellaard, Josee M. Zijlstra
Summary: The study found that combining baseline radiomics with currently used clinical predictors in DLBCL patients can more accurately identify high-risk patients. Adding radiomics features to clinical predictors significantly improves positive predictive value, leading to a more accurate selection of high-risk patients compared to using the IPI model alone.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaohui Zhang, Lin Chen, Han Jiang, Xuexin He, Liu Feng, Miaoqi Ni, Mindi Ma, Jing Wang, Teng Zhang, Shuang Wu, Rui Zhou, Chentao Jin, Kai Zhang, Wenbin Qian, Zexin Chen, Cheng Zhuo, Hong Zhang, Mei Tian
Summary: The hybrid nomograms combining RS with IPI significantly improved survival prediction in DLBCL. Radiomic analysis on MBV may serve as a potential approach for prognosis assessment in DLBCL.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
F. Montes de Jesus, Y. Yin, E. Mantzorou-Kyriaki, X. U. Kahle, R. J. de Haas, D. Yakar, A. W. J. M. Glaudemans, W. Noordzij, T. C. Kwee, M. Nijland
Summary: The study evaluated the use of radiomic features extracted from [F-18]FDG PET/CT using machine learning algorithms to discriminate FL from DLBCL. The Gradient Boosting classifier showed the best discrimination performance, surpassing the SUVmax-based logistic regression model.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Pathology
Yoon Ah Cho, Jiyeon Hyeon, Hyunwoo Lee, Junhun Cho, Seok-Jin Kim, Won Seog Kim, Young-Hyeh Ko
Summary: MYC-rearranged large B-cell lymphoma with BCL2 and/or BCL6 rearrangement, double-hit or triple-hit lymphoma, is associated with poor survival. In contrast, single-hit MYC rearrangement showed high-grade morphology but similar survival rates to MYC-negative lymphomas.
Article
Medicine, General & Internal
Kun-Han Lue, Yi-Feng Wu, Hsin-Hon Lin, Tsung-Cheng Hsieh, Shu-Hsin Liu, Sheng-Chieh Chan, Yu-Hung Chen
Summary: This study found that the baseline F-18-FDG PET radiomic feature RLNGLRLM can independently predict survival outcomes in patients with diffuse large B-cell lymphoma (DLBCL). A prognostic stratification model based on this feature was proposed, which may help tailor therapeutic strategies for DLBCL patients.
Article
Oncology
Russell Frood, Matthew Clark, Cathy Burton, Charalampos Tsoumpas, Alejandro F. Frangi, Fergus Gleeson, Chirag Patel, Andrew F. Scarsbrook
Summary: This study aimed to predict recurrence in DLBCL patients using radiomics from PET/CT images, and found that a combined radiomic and clinical model outperformed a simple model based on metabolic tumor volume.
Article
Engineering, Biomedical
Yulu Yang, Rui Chen, Yi Gong, Weihu Yang, Ke Li, Wuzhe Fan, Shuangquan Gou, Pengfei Gao, Tingting He, Kaiyong Cai
Summary: This study discovered that DLBCL genome changes and expression characteristics are associated with various immune cells through whole exome sequencing. Inspired by lenalidomide as an immunomodulatory drug for multiple myeloma, the researchers constructed a multifunctional nanoplatform named UCNPs-Len-Dex, which demonstrated good biocompatibility and antitumor efficacy in vitro and in vivo. The RNA sequencing results indicated that UCNPs-Len-Dex targeted and activated the E3 ligase of CRBN, inhibiting MYC/BCL6-positive DLBCL and maintaining immune microenvironment stability.
Article
Oncology
Blanca Ferrer-Lores, Jose Lozano, Almudena Fuster-Matanzo, Irene Mayorga-Ruiz, Paula Moreno-Ruiz, Fuensanta Bellvis, Ana B. Teruel, Ana Saus, Alfonso Ortiz, Eva Villamon-Ribate, Alicia Serrano-Alcala, Jose L. Pinana, Pablo Sopena, Rosa Dosda, Carlos Solano, Angel Alberich-Bayarri, Maria Jose Terol
Summary: The current standard treatment for DLBCL patients, rituximab plus CHOP, is ineffective in one-third of them. This study aimed to predict response to first-line treatment in DLBCL patients using a combination of imaging features, clinical variables, and genomic data. The inclusion of genomic features improved prediction ability, with BCL6 amplification being the most predictive genetic marker. Radiomic features reflecting lesion distribution heterogeneity were predictors of response in manual models, while the whole set of imaging features significantly contributed to explain response in the LDA models. A nomogram predictive for treatment response was constructed.
AMERICAN JOURNAL OF CANCER RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Laure Michaud, Kurt Bantilan, Audrey Mauguen, Craig H. Moskowitz, Andrew D. Zelenetz, Heiko Schoder
Summary: This study aimed to evaluate the prognostic value of 18F-FDG PET/CT parameters in DLBCL patients. The study found that baseline metabolic tumor volume (MTV) and interim maximum standardized uptake value (Delta SUVmax) were important predictors for both PFS and OS. Combining interim Deauville score with interim Delta SUVmax can identify an extremely high-risk DLBCL population.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Medicine, General & Internal
Eun Ji Han, O. Joo Hyun, Hyukjin Yoon, Seunggyun Ha, Ie Ryung Yoo, Jae Won Min, Joon-Il Choi, Byung-Ock Choi, Gyeongsin Park, Han Hee Lee, Young-Woo Jeon, Gi-June Min, Seok-Goo Cho
Summary: This study compared the results of FDG PET/CT and BMBx in DLBCL patients and found that they are complementary in the evaluation of bone involvement.
Article
Hematology
Xiaojuan Peng, Sisi Yu, Ying Kou, Jun Dang, Ping Wu, Yutang Yao, Jiaqi Shen, Yongli Liu, Xiaoxiong Wang, Zhuzhong Cheng
Summary: The aim of this study was to develop a nomogram to predict progression-free survival (PFS) in patients with diffuse large B-cell lymphoma (DLBCL) using F-18-FDG PET/CT parameters and clinical parameters. A retrospective study was conducted with 181 patients diagnosed with DLBCL. The nomogram showed good prediction accuracy, with a higher concordance index (C-index) than the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI). The nomogram included gender, Ann Arbor stage, pathology type, number of extranodal organ involvement (Neo), lactate dehydrogenase (LDH) levels, MTV, and Dmax.
ANNALS OF HEMATOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fenglian Jing, Yunuan Liu, Xinming Zhao, Na Wang, Meng Dai, Xiaolin Chen, Zhaoqi Zhang, Jingmian Zhang, Jianfang Wang, Yingchen Wang
Summary: Radiomics signatures derived from PET images showed high predictive power for progression in patients with DLBCL. Combining radiomics signatures with clinical factors and metabolic parameters may not significantly improve predictive value beyond that of radiomics signatures alone.
