Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation

Nabeel Mansour1, Kathrin Heinrich2,3, Danmei Zhang2,3,4

  • 1Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Abstract

Insights

Approximately one-third of advanced cancer patients lack measurable disease for clinical trials assessing treatment response. Eligibility for trials with imaging endpoints varies significantly by cancer type, impacting precision oncology trial design.

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Medical Imaging

Background:

  • Precision oncology relies on molecular tumor boards (MTBs) to match patients with targeted therapies.
  • Clinical trials often require measurable disease for assessing treatment response endpoints like objective response rate (ORR) and duration of response (DOR).

Purpose of the Study:

  • To evaluate the eligibility of patients with advanced solid malignancies presenting to an MTB for clinical trials using RECIST v1.1 imaging endpoints.
  • To determine the proportion of patients with measurable disease (MD) suitable for ORR/DOR assessment.

Main Methods:

  • Prospective analysis of patients presenting to a molecular tumor board.
  • Review of imaging data using Response Evaluation Criteria in Solid Tumors (RECIST v1.1) to identify measurable disease.
  • Assessment of the representativeness of measurable lesions relative to overall tumor burden.

Main Results:

  • 68% of 262 patients had measurable disease (MD) at MTB presentation; 32% had non-measurable disease (NMD).
  • Main reasons for NMD included small lesions (<10 mm) and non-measurable peritoneal carcinomatosis.
  • Colorectal cancer and melanoma showed high rates of MD (>75%), while gastric, head/neck, and ovarian cancers had lower rates (<55%).

Conclusions:

  • About one-third of advanced cancer patients are ineligible for trials with imaging endpoints (ORR/DOR) at MTB presentation.
  • Patient eligibility for imaging-based trials is influenced by malignancy type, necessitating consideration in precision oncology trial planning.

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