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Simple Summary: This research explores the role of different methods for assessing bone marrow infiltration (BMI) in mantle cell lymphoma (MCL) during initial diagnosis. Traditional bone marrow biopsy (BMB) is a standard procedure, but newer imaging techniques like PET/CT scans may offer additional or alternative insights. Our study aims to clarify the diagnostic accuracy and prognostic value of these methods, both individually and in combination, for predicting patient outcomes. We propose a new prognostic model that integrates PET/CT results, which could improve the ability to classify patients by risk. The findings may impact clinical approaches by guiding better-informed decisions in MCL diagnosis and prognosis. Background: Assessment of bone marrow infiltration (BMI) is part of the initial staging of mantle cell lymphoma (MCL), although BMI evaluated by biopsy (BMB) is not considered significant in the MIPI scales, and standardized recommendations remain lacking. Objectives: To evaluate the accuracy and prognostic impact of BMI assessed by PET/CT and BMB in a large series of MCL patients. Methods: We deconstructed the IPI-NCCN, MIPI, and MIPI-c indices and considered BMI as positive if indicated by a BMB, PET/CT scan, or a combination of both. Results: In the total cohort (n = 148), 110 patients had BMI detected by BMB and 33 by PET/CT. The sensitivity of BMB was higher than that of PET/CT (94.8% vs. 28.4%), as were its negative predictive value (84.2% vs. 27.8%) and accuracy (95.9% vs. 43.9%). In the total cohort, BMI detected by PET/CT showed a significant predictive value for PFS (p = 0.027), while BMB demonstrated independent prognostic value only in combination with PET/CT (p = 0.025). Among intensively treated patients (n = 128), PET/CT had significant clinical impact on PFS (p = 0.030), and when combined with BMB, it provided independent prognostic value for both PFS and OS (p = 0.026 and p = 0.033, respectively). Based on these findings, we propose a prognostic model (MCL-PET-I) that incorporates BMI by PET/CT, allowing for the identification of three groups with distinct clinical outcomes (p < 0.0001 for PFS and p = 0.00025 for OS). Conclusions: In the upfront work of MCL, PET/CT-based BMI has greater prognostic impact, while BMB remains essential for staging. We propose the MCL-PET-I prognostic index, which effectively differentiates between clinical risk groups. [ABSTRACT FROM AUTHOR]

Non-Hodgkin lymphoma is a heterogeneous group of cancers that triggers bone marrow infiltration in 20–40% of cases. Bone marrow biopsy in combination with a visual assessment of [18F]FDG PET/CT images is used to assess the marrow status. Despite the potential of both techniques, they still have limitations due to the subjectivity of visual assessment. The present study aims to develop models based on bone marrow uptake in [18F]FDG PET/CT images at the time of diagnosis to differentiate bone marrow status. For this purpose, a model trained for skeleton segmentation and based on the U-Net architecture is retrained for bone marrow segmentation from CT images. The mask obtained from this segmentation together with the [18F]FDG PET image is used to extract radiomics features with which 11 machine learning models for marrow status differentiation are trained. The segmentation model yields very satisfactory results with Jaccard and Dice index values of 0.933 and 0.964, respectively. As for the classification models, a maximum F1_score_weighted and F1_score_macro of 0.962 and 0.747, respectively, are achieved. This highlights the potential of these features for bone marrow assessment, laying the foundation for a new clinical decision support system. [ABSTRACT FROM AUTHOR]

Background: CART therapy has produced a paradigm shift in the treatment of relapsing FL patients. Strategies to optimize disease surveillance after these therapies are increasingly necessary. This study explores the potential value of ctDNA monitoring with an innovative signature of personalized trackable mutations. Method: Eleven FL patients treated with anti-CD19 CAR T-cell therapy were included. One did not respond and was excluded. Genomic profiling was performed before starting lymphodepleting chemotherapy to identify somatic mutations suitable for LiqBio-MRD monitoring. The dynamics of the baseline mutations (4.5 per patient) were further analyzed on 59 cfDNA follow-up samples. PET/CT examinations were performed on days +90, +180, +365, and every six months until disease progression or death. Results: After a median follow-up of 36 months, all patients achieved a CR as the best response. Two patients progressed. The most frequently mutated genes were CREBBP, KMT2D and EP300. Simultaneous analysis of ctDNA and PET/CT was available for 18 time-points. When PET/CT was positive, two out of four ctDNA samples were LiqBio-MRD negative. These two negative samples corresponded to women with a unique mesenteric mass in two evaluations and never relapsed. Meanwhile, 14 PET/CT negative images were mutation-free based on our LiqBio-MRD analysis (100%). None of the patients had a negative LiqBio-MRD test by day +7. Interestingly, all durably responding patients had undetectable ctDNA at or around three months after infusion. Two patients presented discordant results by PET/CT and ctDNA levels. No progression was confirmed in these cases. All the progressing patients were LiqBio-MRD positive before progression. Conclusion: This is a proof-of-principle for using ctDNA to monitor response to CAR T-cell therapy in FL. Our results confirm that a non-invasive liquid biopsy MRD analysis may correlate with response and could be used to monitor response. Harmonized definitions of ctDNA molecular response and pinpointing the optimal timing for assessing ctDNA responses are necessary for this setting. If using ctDNA analysis, we suggest restricting follow-up PET/CT in CR patients to a clinical suspicion of relapse, to avoid false-positive results. [ABSTRACT FROM AUTHOR]