Young Jin Choi1,2, In Sook Lee2,3, You Seon Song2,3, Jeung Il Kim2,4, Kyung-Un Choi2,5, Jong Woon Song6. 1. Division of Hematology/Oncology, Department of Internal Medicine, Pusan National University Hospital, Biomedical Research Institute, Busan, Korea. 2. Pusan National University School of Medicine, Busan, Korea. 3. Department of Radiology, Pusan National University Hospital, Biomedical Research Institute, Busan, Korea. 4. Department of Orthopaedic Surgery, Pusan National University Hospital, Biomedical Research Institute, Busan, Korea. 5. Department of Pathology, Pusan National University Hospital, Biomedical Research Institute, Busan, Korea. 6. Department of Radiology, Inje University Haeundae Paik Hospital, Busan, Korea.
Abstract
BACKGROUND: A wide range of specificity values for the differentiation of benign and malignant soft-tissue tumors show the limitations of conventional MRI features. The data obtained by quantitative analysis of diffusion-weighted image (DWI) and dynamic contrast-enhanced (DCE) MRIs would provide more objective results, especially in terms of cellularity and perfusion. PURPOSE: To evaluate the diagnostic efficacies of DWI and DCE MRI for the differentiation of malignant and benign soft-tissue tumors. STUDY TYPE: Retrospective. SUBJECTS: In all, 136 patients (68 females, 68 males; age range 18-86 years, mean age 57.2 years) with soft-tissue tumors. FIELD STRENGTH/SEQUENCE: 3 T, DWI, DCE. ASSESSMENT: Tumor sizes, margins, locations, the presence of involvement in bone or neurovascular bundle, peritumoral edema, heterogeneity, and tumor necrosis were investigated on conventional MR images. On DWIs, visual signal drops were assessed and ADC (apparent diffusion coefficient) values were measured. Ktrans , Kep , Ve , and iAUC values, and time-concentration curve (TCC) types were determined using DCE images. STATISTICAL TESTS: The data were statistically analyzed to determine the abilities to differentiate benign and malignant tumors using the chi-square test, two-sample t-test, and receiver operating characteristic (ROC) analysis. RESULTS: Seventy-three cases were malignant and 63 benign. Age (mean ages of benign/malignant tumors, 51.75/61.86 years; P = 0.0002) and gender (F:M = 40:23 [benign], F:M = 28:45 [malignant], P = 0.003) influenced the distinction between benign and malignant. Sizes, margins, neurovascular bundle involvement, peritumoral edema, and heterogeneity of the tumors on conventional MR images and DCE parameters (Ktrans , Kep , Ve , and iAUC, and TCC plots) obtained from focal region of interest within a narrow volume of interest significantly differentiated benign and malignant lesions (all P < 0.0001, except Ve [P = 0.0004]). For DWI with ADC mapping, all ADC values and visually signal drops were also significant (P < 0.0001). DATA CONCLUSION: DWI and DCE-MRI and derived variables were significantly helpful in discriminating benign and malignant soft-tissue tumors complementary to conventional MRI. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:798-809.
BACKGROUND: A wide range of specificity values for the differentiation of benign and malignant soft-tissue tumors show the limitations of conventional MRI features. The data obtained by quantitative analysis of diffusion-weighted image (DWI) and dynamic contrast-enhanced (DCE) MRIs would provide more objective results, especially in terms of cellularity and perfusion. PURPOSE: To evaluate the diagnostic efficacies of DWI and DCE MRI for the differentiation of malignant and benign soft-tissue tumors. STUDY TYPE: Retrospective. SUBJECTS: In all, 136 patients (68 females, 68 males; age range 18-86 years, mean age 57.2 years) with soft-tissue tumors. FIELD STRENGTH/SEQUENCE: 3 T, DWI, DCE. ASSESSMENT: Tumor sizes, margins, locations, the presence of involvement in bone or neurovascular bundle, peritumoral edema, heterogeneity, and tumor necrosis were investigated on conventional MR images. On DWIs, visual signal drops were assessed and ADC (apparent diffusion coefficient) values were measured. Ktrans , Kep , Ve , and iAUC values, and time-concentration curve (TCC) types were determined using DCE images. STATISTICAL TESTS: The data were statistically analyzed to determine the abilities to differentiate benign and malignant tumors using the chi-square test, two-sample t-test, and receiver operating characteristic (ROC) analysis. RESULTS: Seventy-three cases were malignant and 63 benign. Age (mean ages of benign/malignant tumors, 51.75/61.86 years; P = 0.0002) and gender (F:M = 40:23 [benign], F:M = 28:45 [malignant], P = 0.003) influenced the distinction between benign and malignant. Sizes, margins, neurovascular bundle involvement, peritumoral edema, and heterogeneity of the tumors on conventional MR images and DCE parameters (Ktrans , Kep , Ve , and iAUC, and TCC plots) obtained from focal region of interest within a narrow volume of interest significantly differentiated benign and malignant lesions (all P < 0.0001, except Ve [P = 0.0004]). For DWI with ADC mapping, all ADC values and visually signal drops were also significant (P < 0.0001). DATA CONCLUSION: DWI and DCE-MRI and derived variables were significantly helpful in discriminating benign and malignant soft-tissue tumors complementary to conventional MRI. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:798-809.
Authors: Michelle Roytman; Sean Kim; Shannon Glynn; Charlene Thomas; Eaton Lin; Whitney Feltus; Rajiv S Magge; Benjamin Liechty; Theodore H Schwartz; Rohan Ramakrishna; Nicolas A Karakatsanis; Susan C Pannullo; Joseph R Osborne; Jonathan P S Knisely; Jana Ivanidze Journal: Front Oncol Date: 2022-01-28 Impact factor: 6.244