Saranya Das, Kavita Shapriya, Andrea Da Silva, Xingfeng Li, Alastair Jackson, Nishat Bharwani, Baljeet Kaur, Andrea G Rockall
{"title":"术前应用弥散加权成像及血液炎症标志物鉴别平滑肌肉瘤与非典型平滑肌瘤。","authors":"Saranya Das, Kavita Shapriya, Andrea Da Silva, Xingfeng Li, Alastair Jackson, Nishat Bharwani, Baljeet Kaur, Andrea G Rockall","doi":"10.1093/bjr/tqaf172","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to compare apparent diffusion coefficient (ADC) findings between leiomyosarcoma (LMS) and atypical/degenerate leiomyoma (LM) and evaluate the usefulness of this biomarker for diagnosis. Additionally it will explore the potential of preoperative neutrophil lymphocyte ratio (NLR) as a haematological marker to aid in the differentiation of LMS from atypical LM.</p><p><strong>Methods: </strong>Histologically proven LMS and LM patients between 2013-2023 were included. For all patients (191 LM, 18 LMS), the pre-operative full blood count was analysed, and the NLR calculated. Whole volume of interest (VOI) and focal region of interest (ROI) areas were manually segmented on patients with DW-MRI sequences available (52 LM, 12 LMS). Mann-Whitney and Fishers exact test were used to assess statistical significance and ROC curves for diagnostic performance.</p><p><strong>Results: </strong>VOI and ROI mean ADC values were significantly lower for LMS than LM, with ROI mean ADC demonstrating greater diagnostic accuracy (AUC 0.817 vs 0.755). Applying a threshold ROI mean ADC value of ≤ 1.00 x10-3 mm2/sec achieved a sensitivity and specificity of 88.3% and 65.4% respectively. A higher NLR was suggestive of LMS (median 2.8 vs 1.7 for LM).</p><p><strong>Conclusions: </strong>ADC, particularly a focal ROI is useful in differentiating LMS from LM. Differences in preoperative blood markers, suggest an inflammatory-malignancy relationship. Future risk stratification models of ADC and haematological parameters should be explored.</p><p><strong>Advances in knowledge: </strong>This study adds to few studies comparing using both ROI and VOI based methods, and no study has assessed both haematological markers and ADC metrics to aid differentiation.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Diffusion Weighted Imaging and Blood Inflammatory markers to preoperatively differentiate between leiomyosarcoma and atypical leiomyomas.\",\"authors\":\"Saranya Das, Kavita Shapriya, Andrea Da Silva, Xingfeng Li, Alastair Jackson, Nishat Bharwani, Baljeet Kaur, Andrea G Rockall\",\"doi\":\"10.1093/bjr/tqaf172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study aims to compare apparent diffusion coefficient (ADC) findings between leiomyosarcoma (LMS) and atypical/degenerate leiomyoma (LM) and evaluate the usefulness of this biomarker for diagnosis. Additionally it will explore the potential of preoperative neutrophil lymphocyte ratio (NLR) as a haematological marker to aid in the differentiation of LMS from atypical LM.</p><p><strong>Methods: </strong>Histologically proven LMS and LM patients between 2013-2023 were included. For all patients (191 LM, 18 LMS), the pre-operative full blood count was analysed, and the NLR calculated. Whole volume of interest (VOI) and focal region of interest (ROI) areas were manually segmented on patients with DW-MRI sequences available (52 LM, 12 LMS). Mann-Whitney and Fishers exact test were used to assess statistical significance and ROC curves for diagnostic performance.</p><p><strong>Results: </strong>VOI and ROI mean ADC values were significantly lower for LMS than LM, with ROI mean ADC demonstrating greater diagnostic accuracy (AUC 0.817 vs 0.755). Applying a threshold ROI mean ADC value of ≤ 1.00 x10-3 mm2/sec achieved a sensitivity and specificity of 88.3% and 65.4% respectively. A higher NLR was suggestive of LMS (median 2.8 vs 1.7 for LM).</p><p><strong>Conclusions: </strong>ADC, particularly a focal ROI is useful in differentiating LMS from LM. Differences in preoperative blood markers, suggest an inflammatory-malignancy relationship. 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Using Diffusion Weighted Imaging and Blood Inflammatory markers to preoperatively differentiate between leiomyosarcoma and atypical leiomyomas.
Objectives: This study aims to compare apparent diffusion coefficient (ADC) findings between leiomyosarcoma (LMS) and atypical/degenerate leiomyoma (LM) and evaluate the usefulness of this biomarker for diagnosis. Additionally it will explore the potential of preoperative neutrophil lymphocyte ratio (NLR) as a haematological marker to aid in the differentiation of LMS from atypical LM.
Methods: Histologically proven LMS and LM patients between 2013-2023 were included. For all patients (191 LM, 18 LMS), the pre-operative full blood count was analysed, and the NLR calculated. Whole volume of interest (VOI) and focal region of interest (ROI) areas were manually segmented on patients with DW-MRI sequences available (52 LM, 12 LMS). Mann-Whitney and Fishers exact test were used to assess statistical significance and ROC curves for diagnostic performance.
Results: VOI and ROI mean ADC values were significantly lower for LMS than LM, with ROI mean ADC demonstrating greater diagnostic accuracy (AUC 0.817 vs 0.755). Applying a threshold ROI mean ADC value of ≤ 1.00 x10-3 mm2/sec achieved a sensitivity and specificity of 88.3% and 65.4% respectively. A higher NLR was suggestive of LMS (median 2.8 vs 1.7 for LM).
Conclusions: ADC, particularly a focal ROI is useful in differentiating LMS from LM. Differences in preoperative blood markers, suggest an inflammatory-malignancy relationship. Future risk stratification models of ADC and haematological parameters should be explored.
Advances in knowledge: This study adds to few studies comparing using both ROI and VOI based methods, and no study has assessed both haematological markers and ADC metrics to aid differentiation.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
Quick Facts:
- 2015 Impact Factor – 1.840
- Receipt to first decision – average of 6 weeks
- Acceptance to online publication – average of 3 weeks
- ISSN: 0007-1285
- eISSN: 1748-880X
Open Access option