You are currently viewing a new version of our website. To view the old version click .

Hematology Reports

Hematology Reports - formerly Hematology Reviews - is an international, peer-reviewed, open access journal on all aspects of prevention, diagnosis and management of disorders of the blood, published bimonthly online by MDPI (from Volume 14, Issue 1 - 2022).
It is the official journal of the Society of Hematologic Oncology Italy (SOHO Italy) and its members receive discounts on the article processing charges.
Indexed in PubMed | Quartile Ranking JCR - Q4 (Hematology)

All Articles (572)

Background: The aim was to evaluate whether an artificial intelligence (AI)-based tool for the automated quantification of the total metabolic tumour volume (tMTV) in patients with Hodgkin lymphoma (HL) could support nuclear medicine specialists in lesion segmentation and thereby enhance inter-observer agreement. Methods: Forty-eight consecutive patients who underwent staging with [18F]FDG PET/CT were included. Eight invited specialists from different hospitals were asked to manually segment lesions for tMTV calculations in 12 cases without AI advice, and to use automated AI segmentation in a further 12 cases, with editing as required, i.e., segmenting/adjusting 24 cases each. Each case was segmented by two specialists manually and by two different specialists using the AI tool, allowing for the pairwise comparison of inter-observer variability. Results: The median difference between two specialists performing manual tMTV segmentations was 26 cm3 (IQR 10–86 cm3) corresponding to 23% (IQR 7–50%) of the median tMTV in the dataset, while the median difference between two specialists tMTV adjustments using AI segmentations was 12 cm3 (IQR 4–39 cm3) corresponding to 9% (IQR 2–21%) (p = 0.023). The median difference in tMTV between measurements with and without AI was 3.3 cm3, corresponding to 2.3% of the median tMTV. Conclusions: An automated AI-based tool can significantly increase agreement among specialists quantifying tMTV in HL patients staged with [18F]FDG PET/CT, without markedly changing the measurements.

7 November 2025

Example of a patient without (a) and with (b) the automated artificial intelligence (AI) pre-segmentation of tumour burden presented to the specialists (in red). The SUVindex in bone marrow/liver and the spleen/liver, calculated by the AI tool, were presented to the specialists (b).

Acute myeloid leukemia (AML) is an aggressive clonal hematopoietic malignancy, characterized by marked biological heterogeneity and variable clinical outcomes. Among its rarer genetic subsets is AML with rearrangements of the MDS1 and EVI1 complex locus (MECOM), occurring in fewer than 2% of newly diagnosed cases. This review examines the biology and clinical significance of MECOM-rearranged AML, with a focus on its diverse mechanisms of leukemogenesis, including chromosomal inversion and translocation involving 3q26. We discuss how aberrant EVI1/MECOM activity alters gene expression networks and drives malignant transformation. Current therapeutic approaches—including intensive chemotherapy, hypomethylating agents in combination with venetoclax, and allogeneic stem cell transplantation—are evaluated with particular emphasis on inv(3) and other t(3q26) subtypes. Despite these treatment strategies, outcomes remain poor, underscoring the urgent need for novel, more effective therapies for this high-risk form of AML.

31 October 2025

Myelodysplastic neoplasms represent a diverse group of clonal hematopoietic stem cell disorders characterized by ineffective hematopoiesis, peripheral cytopenias, and an inherent risk of progression to acute myeloid leukemia. Accurate risk assessment and patient stratification are critical to optimizing therapeutic approaches and clinical outcomes. In 2022, significant advancements reshaped both the classification and prognostic stratification of MDSs. The revised WHO Classification introduced crucial genetically defined subtypes, particularly those involving biallelic TP53 inactivation and SF3B1 mutations, shifting the emphasis from traditional morphology-based criteria to molecular ones. Simultaneously, morphological subtypes such as hypoplastic and hyperfibrotic MDSs were established as distinct entities with unique prognostic implications. At the same time, the introduction of the International Molecular Prognostic Scoring System (IPSS-M) provided a more precise prognostic stratification by integrating comprehensive molecular data alongside traditional clinical and cytogenetic parameters. Several validation studies have confirmed IPSS-M’s superior discriminative power compared to previous models, notably IPSS-R, improving predictions regarding overall survival and leukemia transformation. Nevertheless, practical considerations regarding the widespread application of IPSS-M have emerged, including concerns over economic feasibility and accessibility of advanced molecular testing methods, such as extensive Next-Generation Sequencing panels. This review synthesizes the recent literature and critical studies validating these classification and prognostic updates, discussing their clinical impact, practical considerations, and implications for targeted therapeutic strategies. By focusing on molecular pathogenesis, the latest classification systems and prognostic models promise significant advances in patient-specific management, setting the stage for future innovations in treatment and improved patient outcomes.

30 October 2025

Background/Objectives: The role of daratumumab, lenalidomide, and dexamethasone (DRd) in autologous stem cell transplantation (ASCT)-eligible patients with multiple myeloma (MM) after first-line bortezomib, cyclophosphamide, and dexamethasone (VCd) treatment is not yet established. Methods: We retrospectively evaluated ASCT-eligible patients with MM who received second-line therapy with DRd after initial induction therapy with VCd between 2017 and 2023 (salvage group). For comparison, patients who successfully underwent per-protocol treatment with VCd induction, followed by ASCT during the same period, were selected (control group). Results: Eight patients with a median age of 61 years (range, 36–68 years) were included in the salvage group. After a median of 5 DRd cycles, the best response was partial response (PR) in two patients (25%) and a very good partial response (VGPR) in six (75%). All patients underwent ASCT, resulting in PR in one (13%), VGPR in four (50%), and stringent complete response in three (38%). Measurable residual disease (MRD) assessed using multicolor flow cytometry was negative in four patients (50%). The controls included thirteen patients with a median age of 60 years (range, 44–64 years). While most patients in both groups received various post-ASCT therapies, the post-ASCT 2-year time to the next treatment rate was slightly better in the salvage group than in the control group (88% vs. 49%, p = 0.089). However, hypogammaglobulinemia was more common in the salvage group (75% vs. 15%, p = 0.018). Conclusions: This small case series suggests that DRd is promising for ASCT-eligible patients with MM after VCd failure.

29 October 2025

News & Conferences

Issues

Open for Submission

Editor's Choice

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Hematol. Rep. - ISSN 2038-8330