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Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma—A Translational Feasibility Study on Fusion Imaging
by
Jakob, Jens
, Guhlich, Manuel
, Conradi, Lena-Christin
, Ghadimi, Michael
, Kitz, Julia
, Panahi, Babak
, Ernst, Jennifer
, Hettler, Madelaine
, Seif Amir Hosseini, Ali
, Ströbel, Philipp
in
Biopsy
/ Care and treatment
/ Cohort analysis
/ Computed tomography
/ Contrast agents
/ Diagnosis
/ Diagnostic imaging
/ Diffusion coefficient
/ Feasibility studies
/ Functional magnetic resonance imaging
/ Liposarcoma
/ Magnetic resonance imaging
/ Methods
/ Patients
/ Radiation
/ Sarcoma
/ Soft tissue sarcoma
/ Software
/ Tomography
/ Tumor staging
/ Tumors
2022
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Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma—A Translational Feasibility Study on Fusion Imaging
by
Jakob, Jens
, Guhlich, Manuel
, Conradi, Lena-Christin
, Ghadimi, Michael
, Kitz, Julia
, Panahi, Babak
, Ernst, Jennifer
, Hettler, Madelaine
, Seif Amir Hosseini, Ali
, Ströbel, Philipp
in
Biopsy
/ Care and treatment
/ Cohort analysis
/ Computed tomography
/ Contrast agents
/ Diagnosis
/ Diagnostic imaging
/ Diffusion coefficient
/ Feasibility studies
/ Functional magnetic resonance imaging
/ Liposarcoma
/ Magnetic resonance imaging
/ Methods
/ Patients
/ Radiation
/ Sarcoma
/ Soft tissue sarcoma
/ Software
/ Tomography
/ Tumor staging
/ Tumors
2022
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Do you wish to request the book?
Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma—A Translational Feasibility Study on Fusion Imaging
by
Jakob, Jens
, Guhlich, Manuel
, Conradi, Lena-Christin
, Ghadimi, Michael
, Kitz, Julia
, Panahi, Babak
, Ernst, Jennifer
, Hettler, Madelaine
, Seif Amir Hosseini, Ali
, Ströbel, Philipp
in
Biopsy
/ Care and treatment
/ Cohort analysis
/ Computed tomography
/ Contrast agents
/ Diagnosis
/ Diagnostic imaging
/ Diffusion coefficient
/ Feasibility studies
/ Functional magnetic resonance imaging
/ Liposarcoma
/ Magnetic resonance imaging
/ Methods
/ Patients
/ Radiation
/ Sarcoma
/ Soft tissue sarcoma
/ Software
/ Tomography
/ Tumor staging
/ Tumors
2022
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Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma—A Translational Feasibility Study on Fusion Imaging
Journal Article
Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma—A Translational Feasibility Study on Fusion Imaging
2022
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Overview
Histological subtype and grading are cornerstones of treatment decisions in soft tissue sarcoma (STS). Due to intratumoral heterogeneity, pretreatment grading assessment is frequently unreliable and may be improved through functional imaging. In this pilot study, 12 patients with histologically confirmed STS were included. Preoperative functional magnetic resonance imaging was fused with a computed tomography scan of the resected specimen after collecting core needle biopsies and placing radiopaque markers at distinct tumor sites. The Fédération Nationale des Centres de Lutte Contre le Cancer (FNCLCC) grading criteria of the biopsies and apparent diffusion coefficients (ADCs) of the biopsy sites were correlated. Concordance in grading between the specimen and at least one biopsy was achieved in 9 of 11 cases (81.8%). In 7 of 12 cases, fusion imaging was feasible without relevant contour deviation. Functional analysis revealed a tendency for high-grade regions (Grade 2/3 (G2/G3)) (median (range) ± standard deviation: 1.13 (0.78–1.70) ± 0.23 × 10−3 mm2/s) to have lower ADC values than low-grade regions (G1; 1.43 (0.64–2.03) ± 0.46 × 10−3 mm2/s). In addition, FNCLCC scoring of multiple tumor biopsies proved intratumoral heterogeneity as expected. The ADC appears to correlate with the FNCLCC grading criteria. Further studies are needed to determine whether functional imaging may supplement histopathological grading.
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