Does the apparent diffusion coefficient of diffusion-weighted MRI help in the characterization of soft tissue malignancies and sarcomas? (2023)

Gowda, P., Bajaj, G., Silva, F.D., Ashikyan, O., Xi, Y.(Accepted/in press).The apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft tissue tumors and sarcomas.Skeletal radiology.https://doi.org/10.1007/s00256-023-04289-5

The apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft tissue tumors and sarcomas./ Gowda, Prajwal; Bajaj, Gitanjali; Silva, Flavio Duarte and cols.

Em:Skeletal radiology, 2023.

search result:contribution to the journal›Article›Peer-Review

Gowda, P. Bajaj, G., Silva, FD, Ashikyan, O, Xi, Y2023, 'The apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft tissue tumors and sarcomas',Skeletal radiology.https://doi.org/10.1007/s00256-023-04289-5

Gowda P, Bajaj G, Silva FD, Aschkyan O., XiY, Chabra A.The apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft tissue tumors and sarcomas.Skeletal radiology. 2023. doi: 10.1007/s00256-023-04289-5

Gowda, Prajwal; Bajaj, Gitanjali; Silva, Flavio Duarte and cols. ,The apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft tissue tumors and sarcomas. Em:Skeletal radiology. 2023.

@artigo{43d29bda7f95494891425621ef11c693,

title = "Apparent diffusion coefficient of diffusion-weighted MRI helps characterize malignant soft-tissue tumors and sarcomas",

abstract="Objective: To identify trends in apparent diffusion coefficient (ADC) measurements of diffusion-weighted imaging (DWI) in relation to tumor type classification and other tumor characteristics when common malignant soft-tissue tumors can be distinguished. Materials and methods: A consecutive serial analysis of malignant soft-tissue tumors and Soft tissue sarcomas (STS) of the extremities in 78 adult patients with conventional MRI and DWI were included. Each case was histologically blinded to mean and minimal T1/T2 signal changes and heterogeneity, presence of peritumoral edema, necrosis, cystic changes, internal bleeding and maximum longitudinal extent -ADC were obtained using a freehand region of interest of the entire tumor and the darkest ADC area (area with the least signal) of the tumor. Kruskal-Wallis and Wilcoxon rank sum tests were used to determine associations and significance between n to determine subtypes of the tumor. Intraclass Correlation (ICC) and Kappa Calculations Calculations were used to assess inter-reader concordance for ADC values ​​and reader diagnosis. Results: Liposarcoma showed more heterogeneous T1WI images with T1WI hypersignal compared to tumors not classified as liposarcoma (p = 0.046 and p = 0.010, respectively). Liposarcomas were relatively consistently nonbleeding (81.8%), while undifferentiated pleomorphic sarcomas consistently showed intralesional bleeding (90%). When comparing individual tumor scores to the rest of the samples, lymphomas had lower mean and trough ADC scores across the tumor and in the most hypointense area of ​​the tumor for both readers (P<0.05). Interobserver agreement between the two readers was good to excellent for all four ADC measurements (ICC = 0.65-0.98). Conclusion: ADC measurements generated by diffusion-weighted imaging are reproducible, but currently provide limited information on the ability to discriminate between different histologies of sarcomas and soft tissue malignancies.

keywords="ADC, DWI, Limb, MRI, Soft Tissue Sarcoma",

autor = "Prajwal Gowda und Gitanjali Bajaj und Silva, {Flavio Duarte} und Oganes Ashikyan, Yin Xi und Avneesh Chhabra",

note = "Funding Information: AC receives royalties from Jaypee and Wolters. AC also acts as a consultant for ICON Medical and Treace Medical Concepts, Inc. AC is a spokesperson for Siemens. AC is a Medical Advisor and holds a research grant from Biopsy de image lab Inc. Publisher's copyright: {\textcopyright} 2023, The Author(s), under exclusive license from the International Skeletal Society (ISS).",

again="2023",

doi = "10.1007/s00256-023-04289-5",

language = "English (United States)",

journal = "Skelettradiologie",

issn = "0364-2348",

editora = "Springer-Verlag",

}

YOU - DIA

T1 - Diffusion-weighted MRI apparent diffusion coefficient helps characterize malignant soft tissue tumors and sarcomas

AU - Gowda, Prajwal

AU - Bajaj, Gitanjali

AU - Silva, Flavio Duarte

AU - Ashikyan, Oganes

AU - Xi, Yin

AU - Chhabra, Avneesh

N1 - Funding Information: AC receives royalties from Jaypee and Wolters. AC also serves as a consultant for ICON Medical and Treace Medical Concepts, Inc. AC is a Siemens speaker. AC is a Medical Advisor and has a research grant from Biopsy Imaging Lab Inc. Publisher Copyright: © 2023, the author(s), under exclusive license from the International Skeletal Society (ISS).

PJ - 2023

A1 - 2023

N2 - Purpose: To identify trends in apparent diffusion coefficient (ADC) measurements of diffusion weighted imaging (DWI) related to tumor type classification and other tumor characteristics when common malignant soft tissue tumors can be distinguished. MATERIALS AND METHODS: A consecutive series of malignant soft tissue tumors and soft tissue sarcomas (STS) of the extremities in 78 adult patients with conventional magnetic resonance imaging and DWI was included. Each case was evaluated for changes and heterogeneity in T1/T2 signal, presence of peritumoral edema, necrosis, cystic changes, internal bleeding and maximum blind longitudinal dimension for histology. Mean and minimal ADC were obtained using a freehand region of interest of the entire tumor and the darkest ADC area (area with the lowest signal) of the tumor. Kruskal-Wallis and Wilcoxon rank sum tests were used to determine associations and significance between tumor subtypes. Intraclass correlation (ICC) and kappa calculations were used to assess inter-reader concordance for ADC scores and reader diagnosis. Results: Liposarcoma showed more heterogeneous T1WI images with T1WI hypersignal compared to tumors not classified as liposarcoma (p = 0.046 and p = 0.010, respectively). Liposarcomas were relatively consistently nonbleeding (81.8%), while undifferentiated pleomorphic sarcomas consistently showed intralesional bleeding (90%). When comparing individual tumor scores to the rest of the samples, lymphomas had lower mean and trough ADC scores across the tumor and in the most hypointense area of ​​the tumor for both readers (P<0.05). Interobserver agreement between the two readers was good to excellent for all four ADC measurements (ICC = 0.65-0.98). Conclusion: ADC measurements generated by diffusion-weighted imaging are reproducible but currently provide limited information on the ability to discriminate between different histologies of soft tissue malignancies and sarcomas.

AB Purpose: To identify trends in apparent diffusion coefficient (ADC) measurements of diffusion weighted imaging (DWI) related to tumor type classification and other tumor characteristics when common malignant soft tissue tumors can be distinguished. MATERIALS AND METHODS: A consecutive series of malignant soft tissue tumors and soft tissue sarcomas (STS) of the extremities in 78 adult patients with conventional magnetic resonance imaging and DWI was included. Each case was evaluated for changes and heterogeneity in T1/T2 signal, presence of peritumoral edema, necrosis, cystic changes, internal bleeding and maximum blind longitudinal dimension for histology. Mean and minimal ADC were obtained using a freehand region of interest of the entire tumor and the darkest ADC area (area with the lowest signal) of the tumor. Kruskal-Wallis and Wilcoxon rank sum tests were used to determine associations and significance between tumor subtypes. Intraclass correlation (ICC) and kappa calculations were used to assess inter-reader concordance for ADC scores and reader diagnosis. Results: Liposarcoma showed more heterogeneous T1WI images with T1WI hypersignal compared to tumors not classified as liposarcoma (p = 0.046 and p = 0.010, respectively). Liposarcomas were relatively consistently nonbleeding (81.8%), while undifferentiated pleomorphic sarcomas consistently showed intralesional bleeding (90%). When comparing individual tumor scores to the rest of the samples, lymphomas had lower mean and trough ADC scores across the tumor and in the most hypointense area of ​​the tumor for both readers (P<0.05). Interobserver agreement between the two readers was good to excellent for all four ADC measurements (ICC = 0.65-0.98). Conclusion: ADC measurements generated by diffusion-weighted imaging are reproducible but currently provide limited information on the ability to discriminate between different histologies of soft tissue malignancies and sarcomas.

KW - ADC

KW-DWI

KW - ends

KW - MRT

KW - sarcoma of mole parts

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UR - http://www.scopus.com/inward/citedby.url?scp=85147166663&partnerID=8YFLogxK

U2 - 10.1007/s00256-023-04289-5

DO - 10.1007/s00256-023-04289-5

M3 - artillery

C2 - 36725723

AN - SCOPUS:85147166663

SN - 0364-2348

JO - Skeletal Radiology

JF - Skeletal radiology

AND -