Perfusion-weighted imaging with dynamic contrast enhancement (PWI/DCE) morphologic, qualitative, semiquantitative, and radiomics features predicting undifferentiated pleomorphic sarcoma (UPS) treatment response

R. F. Valenzuela; E. Duran-Sierra; M. Canjirathinkal; B. Amini; K. E. Torres; R. S. Benjamin; J. Ma; W. L. Wang; K. P. Hwang; R. J. Stafford; C. Wu; A. M. Zarzour; A. J. Bishop; S. Lo; J. E. Madewell; R. Kumar; W. A. Murphy; C. M. Costelloe

doi:10.1038/s41598-024-72780-7

Scientific Reports (Sep 2024)

Perfusion-weighted imaging with dynamic contrast enhancement (PWI/DCE) morphologic, qualitative, semiquantitative, and radiomics features predicting undifferentiated pleomorphic sarcoma (UPS) treatment response

R. F. Valenzuela,
E. Duran-Sierra,
M. Canjirathinkal,
B. Amini,
K. E. Torres,
R. S. Benjamin,
J. Ma,
W. L. Wang,
K. P. Hwang,
R. J. Stafford,
C. Wu,
A. M. Zarzour,
A. J. Bishop,
S. Lo,
J. E. Madewell,
R. Kumar,
W. A. Murphy,
C. M. Costelloe

Affiliations

R. F. Valenzuela: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
E. Duran-Sierra: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
M. Canjirathinkal: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
B. Amini: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
K. E. Torres: Department of Surgical Oncology, The University of Texas, MD Anderson Cancer Center
R. S. Benjamin: Department of Sarcoma Medical Oncology, The University of Texas, MD Anderson Cancer Center
J. Ma: Department of Imaging Physics, The University of Texas, MD Anderson Cancer Center
W. L. Wang: Department of Anatomical Pathology, The University of Texas, MD Anderson Cancer Center
K. P. Hwang: Department of Imaging Physics, The University of Texas, MD Anderson Cancer Center
R. J. Stafford: Department of Imaging Physics, The University of Texas, MD Anderson Cancer Center
C. Wu: Department of Imaging Physics, The University of Texas, MD Anderson Cancer Center
A. M. Zarzour: Department of Sarcoma Medical Oncology, The University of Texas, MD Anderson Cancer Center
A. J. Bishop: Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center
S. Lo: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
J. E. Madewell: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
R. Kumar: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
W. A. Murphy: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center
C. M. Costelloe: Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center

DOI: https://doi.org/10.1038/s41598-024-72780-7
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 15

Abstract

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Abstract Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft tissue sarcomas. This study determined the value of perfusion-weighted imaging with dynamic-contrast-enhancement (PWI/DCE) morphologic, qualitative, and semiquantitative features for predicting UPS pathology-assessed treatment effect (PATE). This retrospective study included 33 surgically excised extremity UPS patients with pre-surgical MRI. Volumetric tumor segmentation from PWI/DCE was obtained at Baseline (BL), Post-Chemotherapy (PC), and Post-Radiation Therapy (PRT). The surgical specimens’ PATE separated cases into Responders (R) (≥ 90%, 16 patients), Partial-Responders (PR) (89 − 31%, 10 patients), and Non-Responders (NR) (≤ 30%, seven patients). Seven semiquantitative kinetic parameters and maps were extracted from time-intensity curves (TICs), and 107 radiomic features were derived. Statistical analyses compared R vs. PR/NR. At PRT, 79% of R displayed a “Capsular” morphology (P = 1.49 × 10-7), and 100% demonstrated a TIC-type II (P = 8.32 × 10-7). 80% of PR showed “Unipolar” morphology (P = 1.03 × 10-5), and 60% expressed a TIC-type V (P = 0.06). Semiquantitative wash-in rate (WiR) was able to separate R vs. PR/NR (P = 0.0078). The WiR radiomics displayed significant differences in the first_order_10 percentile (P = 0.0178) comparing R vs. PR/NR at PRT. The PWI/DCE TIC-type II curve, low WiR, and “Capsular” enhancement represent PRT patterns typically observed in successfully treated UPS and demonstrate potential for UPS treatment response assessment.

Published in Scientific Reports

ISSN: 2045-2322 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Medicine; Science
Website: https://www.nature.com/srep/

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