A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features - Scorecard - MDSpire

A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features

  • By

  • Man Wang

  • Siyuan Wu

  • Qishan Cen

  • Haiyan Yang

  • Shengsheng Zhou

  • Jinfeng Qiu

  • Shengcai Huang

  • Zhigang Peng

  • June 16, 2026

  • 0 min

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Clinical Scorecard: Development of a Prognostic Model Utilizing Deep Learning and PET/CT Imaging Features for Diffuse Large B-Cell Lymphoma

At a Glance

CategoryDetail
Condition
Key MechanismsRevise to include only sourced information.
Target Population
Care Setting

Key Highlights

  • 1

Guideline-Based Recommendations

Diagnosis

    Management

    • R
    • e
    • m
    • o
    • v
    • e
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    • u
    • p
    • p
    • o
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    • d
    • c
    • l
    • a
    • i
    • m
    • s
    • a
    • b
    • o
    • u
    • t
    • p
    • e
    • r
    • s
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    • a
    • l
    • i
    • z
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    • d
    • t
    • r
    • e
    • a
    • t
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    • t
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    • t
    • r
    • a
    • t
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    • g
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    • .

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        209 patients with DLBCL analyzed in the study.

        The model aims to support early treatment intensification for high-risk patients and de-escalation for low-risk patients.

        Clinical Best Practices

        • 1

        Related Resources & Content

        Original Source(s)

        A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features

        • by Man Wang, Siyuan Wu, Qishan Cen, Haiyan Yang, Shengsheng Zhou, Jinfeng Qiu, Shengcai Huang, Zhigang Peng

        • June 16, 2026

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