1
|
Ghosh A, Li H, Towbin AJ, Turpin BK, Trout AT. Histogram Analysis of Apparent Diffusion Coefficient Maps Provides Genotypic and Pretreatment Phenotypic Information in Pediatric and Young Adult Rhabdomyosarcoma. Acad Radiol 2024; 31:2550-2561. [PMID: 38296742 DOI: 10.1016/j.acra.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 02/02/2024]
Abstract
INTRODUCTION We evaluate the role of apparent diffusion coefficient (ADC) histogram metrics in stratifying pediatric and young adult rhabdomyosarcomas. METHODS We retrospectively evaluated baseline diffusion-weighted imaging (DWI) from 38 patients with rhabdomyosarcomas (Not otherwise specified: 2; Embryonal: 21; Spindle Cell: 2; Alveolar: 13, mean ± std dev age: 8.1 ± 7.76 years). The diffusion images were obtained on a wide range of 1.5 T and 3 T scanners at multiple sites. FOXO1 fusion status was available for 35 patients, nine of whom harbored the fusion. 13 patients were TNM stage 1, eight had stage 2 disease, nine were stage 3, and eight had stage 4 disease. 23 patients belonged to Clinical Group III and seven to Group IV, while two and five were CG I and II, respectively. Nine patients were classified as low risk, while 21 and five were classified as intermediate and high risk respectively. Histogram parameters of the apparent diffusion coefficient (ADC) map from the entire tumor were obtained based on manual tumor contouring. A two-tailed Mann-Whitney U test was used for all two-group, and the Kruskal-Wallis's test was used for multiple-group comparisons. Bootstrapped receiver operating characteristic (ROC) curves and areas under the curve (AUC) were generated for the statistically significant histogram parameters to differentiate genotypic and phenotypic parameters. RESULTS Alveolar rhabdomyosarcomas had a statistically significant lower 10th Percentile (586.54 ± 164.52, mean ± std dev, values are in ×10-6mm2/s) than embryonal rhabdomyosarcomas (966.51 ± 481.33) with an AUC of 0.85 (95%CI. 0.73-0.95) for differentiating the two. The 10th percentile was also significantly different between FOXO1 fusion-positive (553.87 ± 187.64) and negative (898.07 ± 449.38) rhabdomyosarcomas with an AUC of 0.83 (95% CI 0.71-0.94). Alveolar rhabdomyosarcomas also had statistically significant lower Mean, Median, and Root Mean Squared ADC histogram values than embryonal rhabdomyosarcomas. Four, five, and seven of the 18 histogram parameters evaluated demonstrated a statistically significant increase with higher TNM stage, clinical group, assignment, and pretreatment risk stratification, respectively. For example, Entropy had an AUC of 0.8 (95% CI. 0.67-0.92) for differentiating TNM stage 1 from ≥ stage 2 and 0.9 (95% CI. 0.8-0.98) for differentiating low from intermediate or high-risk stratification. CONCLUSION Our findings demonstrate the potential of ADC histogram metrics to predict clinically relevant variables for rhabdomyosarcoma, including FOXO1 fusion status, histopathology, Clinical Group, TNM staging, and risk stratification.
Collapse
Affiliation(s)
- Adarsh Ghosh
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
| | - Hailong Li
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Brian K Turpin
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Andrew T Trout
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| |
Collapse
|
2
|
Martynov I, Dhaka L, Wilke B, Hoyer P, Vahdad MR, Seitz G. Contemporary preclinical mouse models for pediatric rhabdomyosarcoma: from bedside to bench to bedside. Front Oncol 2024; 14:1333129. [PMID: 38371622 PMCID: PMC10869630 DOI: 10.3389/fonc.2024.1333129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/02/2024] [Indexed: 02/20/2024] Open
Abstract
Background Rhabdomyosarcoma (RMS) is the most common pediatric soft-tissue malignancy, characterized by high clinicalopathological and molecular heterogeneity. Preclinical in vivo models are essential for advancing our understanding of RMS oncobiology and developing novel treatment strategies. However, the diversity of scholarly data on preclinical RMS studies may challenge scientists and clinicians. Hence, we performed a systematic literature survey of contemporary RMS mouse models to characterize their phenotypes and assess their translational relevance. Methods We identified papers published between 01/07/2018 and 01/07/2023 by searching PubMed and Web of Science databases. Results Out of 713 records screened, 118 studies (26.9%) were included in the qualitative synthesis. Cell line-derived xenografts (CDX) were the most commonly utilized (n = 75, 63.6%), followed by patient-derived xenografts (PDX) and syngeneic models, each accounting for 11.9% (n = 14), and genetically engineered mouse models (GEMM) (n = 7, 5.9%). Combinations of different model categories were reported in 5.9% (n = 7) of studies. One study employed a virus-induced RMS model. Overall, 40.0% (n = 30) of the studies utilizing CDX models established alveolar RMS (aRMS), while 38.7% (n = 29) were embryonal phenotypes (eRMS). There were 20.0% (n = 15) of studies that involved a combination of both aRMS and eRMS subtypes. In one study (1.3%), the RMS phenotype was spindle cell/sclerosing. Subcutaneous xenografts (n = 66, 55.9%) were more frequently used compared to orthotopic models (n = 29, 24.6%). Notably, none of the employed cell lines were derived from primary untreated tumors. Only a minority of studies investigated disseminated RMS phenotypes (n = 16, 13.6%). The utilization areas of RMS models included testing drugs (n = 64, 54.2%), studying tumorigenesis (n = 56, 47.5%), tumor modeling (n = 19, 16.1%), imaging (n = 9, 7.6%), radiotherapy (n = 6, 5.1%), long-term effects related to radiotherapy (n = 3, 2.5%), and investigating biomarkers (n = 1, 0.8%). Notably, no preclinical studies focused on surgery. Conclusions This up-to-date review highlights the need for mouse models with dissemination phenotypes and cell lines from primary untreated tumors. Furthermore, efforts should be directed towards underexplored areas such as surgery, radiotherapy, and biomarkers.
Collapse
Affiliation(s)
- Illya Martynov
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
- Department of Pediatric Surgery, University Hospital Giessen-Marburg, Giessen, Germany
| | - Lajwanti Dhaka
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
| | - Benedikt Wilke
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
| | - Paul Hoyer
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
| | - M. Reza Vahdad
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
- Department of Pediatric Surgery, University Hospital Giessen-Marburg, Giessen, Germany
| | - Guido Seitz
- Department of Pediatric Surgery and Urology, University Hospital Giessen-Marburg, Marburg, Germany
- Department of Pediatric Surgery, University Hospital Giessen-Marburg, Giessen, Germany
| |
Collapse
|
3
|
Tao J, Yin Z, Li X, Zhang Y, Zhang K, Yang Y, Fang S, Wang S. Correlation between IVIM parameters and microvessel architecture: direct comparison of MRI images and pathological slices in an orthotopic murine model of rhabdomyosarcoma. Eur Radiol 2023; 33:8576-8584. [PMID: 37368112 DOI: 10.1007/s00330-023-09835-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 03/20/2023] [Accepted: 04/14/2023] [Indexed: 06/28/2023]
Abstract
OBJECTIVE This study aimed to explore the correlation between intravoxel incoherent motion (IVIM) parameters and microvessel architecture (microvessel density (MVD), vasculogenic mimicry (VM), and pericyte coverage index (PCI)) in an orthotopic murine model of rhabdomyosarcoma. METHODS The murine model was established by injecting rhabdomyosarcoma-derived (RD) cells into the muscle. Nude mice underwent routine magnetic resonance imaging (MRI) and IVIM examinations with ten b values (0, 50, 100, 150, 200, 400, 600, 800, 1000, and 2000 s/mm2). D, D*, and f values were calculated with the ADW4.7 workstation. MRI images and pathological slices were directly compared to ensure that radiology parameters accurately reflect pathology. MVD, VM, PCI, and cellularity were obtained by histological analysis. The correlations were assessed between IVIM parameters (D, D*, f, and fD* values) and pathological markers (MVD, VM, PCI, and cellularity). RESULTS The average of D, D*, f, and fD* values were 0.55 ± 0.07 × 10-3 mm2/s, 5.25 ± 0.73 × 10-3 mm2/s, 13.39 ± 7.68%, and 0.73 ± 0.49 × 10-3 mm2/s, respectively. The average of MVD, VM, PCI, and cellularity were 41.91 ± 10.98, 1.16 ± 0.83, 0.49 ± 0.18, and 39.15 ± 9.00%. D*, f, and fD* values showed a positive correlation with MVD separately, while the D value did not correlate with MVD. D value negatively correlated to VM moderately, and other parameters did not associate with VM. D* and fD* values were positively correlated with PCI, but no correlation was observed between other parameters and PCI. CONCLUSIONS IVIM may evaluate the tumor microvessel architecture. D*, f, and fD* may reflect the endothelial lining blood vessel; D could indirectly reflect the VM; D* and fD* could reflect PCI(the normal degree of the tumor blood vessel). CLINICAL RELEVANCE STATEMENT An intravoxel incoherent motion may be useful in assessing rhabdomyosarcoma microvessel structure to predict the target and effectiveness of anti-angiogenic therapy. KEY POINTS • IVIM may be used to evaluate the tumor microvessel architecture in the mouse rhabdomyosarcoma model. • The MRI-pathology control method achieves correspondence between MRI slices and pathology slices, which ensures the consistency of the ROI of MRI and the pathology observation region.
Collapse
Affiliation(s)
- Juan Tao
- Department of Pathology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, China
| | - Zhenzhen Yin
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China
| | - Xiangwen Li
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, China
| | - Yu Zhang
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China
| | - Kai Zhang
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China
| | - Yanyu Yang
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China
| | - Shaobo Fang
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China
| | - Shaowu Wang
- Department of Radiology, The Second Hospital, Dalian Medical University, 467 Zhongshan Road, Dalian, 116027, China.
| |
Collapse
|
4
|
van Ewijk R, Chatziantoniou C, Adams M, Bertolini P, Bisogno G, Bouhamama A, Caro-Dominguez P, Charon V, Coma A, Dandis R, Devalck C, De Donno G, Ferrari A, Fiocco M, Gallego S, Giraudo C, Glosli H, Ter Horst SAJ, Jenney M, Klein WM, Leemans A, Leseur J, Mandeville HC, McHugh K, Merks JHM, Minard-Colin V, Moalla S, Morosi C, Orbach D, Ording Muller LS, Pace E, Di Paolo PL, Perruccio K, Quaglietta L, Renard M, van Rijn RR, Ruggiero A, Sirvent SI, De Luca A, Schoot RA. Quantitative diffusion-weighted MRI response assessment in rhabdomyosarcoma: an international retrospective study on behalf of the European paediatric Soft tissue sarcoma Study Group Imaging Committee. Pediatr Radiol 2023; 53:2539-2551. [PMID: 37682330 PMCID: PMC10635937 DOI: 10.1007/s00247-023-05745-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To investigate the feasibility of diffusion-weighted magnetic resonance imaging (DW-MRI) as a predictive imaging marker after neoadjuvant chemotherapy in patients with rhabdomyosarcoma. MATERIAL AND METHODS We performed a multicenter retrospective study including pediatric, adolescent and young adult patients with rhabdomyosarcoma, Intergroup Rhabdomyosarcoma Study group III/IV, treated according to the European paediatric Soft tissue sarcoma Study Group (EpSSG) RMS2005 or MTS2008 studies. DW-MRI was performed according to institutional protocols. We performed two-dimensional single-slice tumor delineation. Areas of necrosis or hemorrhage were delineated to be excluded in the primary analysis. Mean, median and 5th and 95th apparent diffusion coefficient (ADC) were extracted. RESULTS Of 134 included patients, 82 had measurable tumor at diagnosis and response and DW-MRI scans of adequate quality and were included in the analysis. Technical heterogeneity in scan acquisition protocols and scanners was observed. Mean ADC at diagnosis was 1.1 (95% confidence interval [CI]: 1.1-1.2) (all ADC expressed in * 10-3 mm2/s), versus 1.6 (1.5-1.6) at response assessment. The 5th percentile ADC was 0.8 (0.7-0.9) at diagnosis and 1.1 (1.0-1.2) at response. Absolute change in mean ADC after neoadjuvant chemotherapy was 0.4 (0.3-0.5). Exploratory analyses for association between ADC and clinical parameters showed a significant difference in mean ADC at diagnosis for alveolar versus embryonal histology. Landmark analysis at nine weeks after the date of diagnosis showed no significant association (hazard ratio 1.3 [0.6-3.2]) between the mean ADC change and event-free survival. CONCLUSION A significant change in the 5th percentile and the mean ADC after chemotherapy was observed. Strong heterogeneity was identified in DW-MRI acquisition protocols between centers and in individual patients.
Collapse
Affiliation(s)
- Roelof van Ewijk
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands.
| | - Cyrano Chatziantoniou
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Madeleine Adams
- Department of Paediatric Oncology, Children's Hospital for Wales, University Hospital, Cardiff, UK
| | - Patrizia Bertolini
- Pediatric Hematology-Oncology Unit University-Hospital of Parma, Parma, Italy
| | - Gianni Bisogno
- Department of Women's and Children's Health, University of Padua, Padua, Italy
- Pediatric Hematology Oncology Division, University Hospital of Padua, Padua, Italy
| | - Amine Bouhamama
- Service de Radiologie Interventionnelle Oncologique, Centre Léon Bérard, Lyon, France
| | - Pablo Caro-Dominguez
- Pediatric Radiology Unit, Department of Radiology, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, Seville, Spain
| | | | - Ana Coma
- Paediatric Radiology Unit, Vall d´Hebron Hospital Campus, Barcelona, Spain
| | - Rana Dandis
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| | | | - Giulia De Donno
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Andrea Ferrari
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Marta Fiocco
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Mathematical Institute, Leiden University, Leiden, The Netherlands
| | - Soledad Gallego
- Pediatric Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain
| | - Chiara Giraudo
- Unit of Advanced Clinical and Translational Imaging, Department of Medicine-DIMED, University of Padova, 35122, Padua, Italy
| | - Heidi Glosli
- Department of Paediatric Research, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Simone A J Ter Horst
- Department of Radiology and Nuclear Medicine, Wilhelmina Children's Hospital, UMC Utrecht, Utrecht, The Netherlands
| | - Meriel Jenney
- Paediatric Oncology, Cardiff and Vale UHB, Cardiff, UK
| | - Willemijn M Klein
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Julie Leseur
- Service de Radiothérapie, Centre Eugène Marquis, Rennes, France
| | - Henry C Mandeville
- Department of Radiotherapy, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK
| | - Kieran McHugh
- Department of Radiology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Johannes H M Merks
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Veronique Minard-Colin
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Salma Moalla
- Department of Imaging, Institut Gustave Roussy, Villejuif, France
| | - Carlo Morosi
- Diagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy
| | - Daniel Orbach
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA With Cancer), Institut Curie, PSL Research University, Paris, France
| | - Lil-Sofie Ording Muller
- Department of Radiology and Intervention Unit for Paediatric Radiology, Oslo University Hospital, Ullevål, Norway
| | - Erika Pace
- Department of Radiology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Pier Luigi Di Paolo
- Department of Radiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Katia Perruccio
- Pediatric Hematology Oncology, Azienda Ospedaliera Universitaria, Ospedale Santa Maria Della Misericordia, Perugia, Italy
| | - Lucia Quaglietta
- Neuro-Oncology Unit, Department of Paediatric Oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Marleen Renard
- Department of Paediatric Hemato-Oncology, University Hospital Leuven, Louvain, Belgium
| | - Rick R van Rijn
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - Antonio Ruggiero
- Pediatric Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sara I Sirvent
- Pediatric Radiology Department, Hospital Niño Jesús, Madrid, Spain
| | - Alberto De Luca
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
- Department of Neurology, UMC Utrecht Brain Center, UMC Utrecht, Utrecht, The Netherlands
| | - Reineke A Schoot
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| |
Collapse
|
5
|
Fang S, Yang Y, Tao J, Yin Z, Liu Y, Duan Z, Liu W, Wang S. Intratumoral Heterogeneity of Fibrosarcoma Xenograft Models: Whole-Tumor Histogram Analysis of DWI and IVIM. Acad Radiol 2023; 30:2299-2308. [PMID: 36481126 DOI: 10.1016/j.acra.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/08/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
RATIONAL AND OBJECTIVE To explore the correlations of histogram parameters from diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) with the heterogeneous features in a nude mouse model of fibrosarcoma. MATERIALS AND METHODS A total of 44 fibrosarcoma xenograft models were established by inoculating HT-1080 cells on the right thigh of mice and subjected tumors to DWI and IVIM imaging with 3.0 T MRI. Whole-tumor histogram parameters were calculated on apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f). Heterogeneous features, including necrosis rate, cell density, Ki-67 labeling index (LI), and microvascular density (MVD) were measured. Intraclass correlation coefficients (ICC), Pearson or Spearman correlation tests, and receiver operating characteristics (ROC) were performed. RESULTS The 90th percentile, skewness and kurtosis of ADC and D histograms showed correlations with necrosis rate, and the highest correlation coefficient was found for D90th (r = 0.485). ADC and D histogram parameters showed correlations with cell density and Ki-67 LI; D90th showed the highest correlation coefficient with cell density (r = -0.504); and Dmedian showed the most significant correlation with Ki-67 LI (r = -0.525). D*skewness, D*kurtosis, D*90th, fmean, and fmedian showed correlations with MVD. ADC90th, ADCskewness, ADCkurtosis, D90th, and Dskewness showed significant differences between the low necrosis and high necrosis groups, and the combination model showed the best diagnostic ability (AUC = 0.882), with 97% sensitivity, and 72.7% specificity. CONCLUSION Whole-tumor histogram parameters of DWI and IVIM were correlated with heterogeneous features in nude murine models of fibrosarcoma.
Collapse
Affiliation(s)
- Shaobo Fang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China
| | - Yanyu Yang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China
| | - Juan Tao
- Department of Pathology, The Second Hospital, Dalian Medical University, Dalian, China
| | - Zhenzhen Yin
- Department of Radiology, Suzhou Hospital of Anhui Medical University, Anhui, China
| | - Yajie Liu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China
| | - Zhiqing Duan
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China
| | - Wenyu Liu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China
| | - Shaowu Wang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, China.
| |
Collapse
|
6
|
Li X, Tao J, Zhu Y, Yin Z, Zhang Y, Wang S. Soft tissue sarcoma: intravoxel incoherent motion and diffusion kurtosis imaging parameters correlate with the histological grade and Ki-67 expression. Acta Radiol 2022; 64:1546-1555. [PMID: 36259287 DOI: 10.1177/02841851221131931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Accurate prediction of the histological grade and Ki-67 expression of soft tissue sarcoma (STS) before surgery is essential for the subsequent diagnosis, treatment, and prognostic evaluation of patients. PURPOSE To evaluate intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) in predicting the histological grade and Ki-67 expression of STS. MATERIAL AND METHODS A total of 40 patients underwent 3-T MRI, including conventional sequences; IVIM and DKI parameters were obtained. All patients were divided into a low-grade (grade 1 and grade 2) group and a high-grade (grade 3) group through pathological analysis. Ki-67 expression of each lesion was calculated. Chi-square test, independent sample t-test, Mann-Whitney U test, Pearson, Spearman, and receiver operating characteristic curve analysis were performed. RESULTS There were 17 patients in the low-grade group and 23 in the high-grade group. Ki-67 expression was in the range of 10%-80%. D value was inversely correlated with Ki-67 expression. MK value showed a moderate positive correlation with Ki-67 expression. Regarding histological grading, only the peritumoral enhancement was statistically different between low- and high-grade STS on conventional MRI (P=0.024). The high-grade group had significantly higher MK value and lower D and MD value than the low-grade group. MK value showed the best diagnostic performance. The combination of MK and MD yielded the highest specificity (88.24%), and the combination of D, MK, and MD yielded the best area under the curve value (0.841) and sensitivity (95.65%). CONCLUSION IVIM and DKI parameters were correlated with Ki-67 expression and could help differentiate between low- and high-grade STS.
Collapse
Affiliation(s)
- Xiangwen Li
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
| | - Juan Tao
- Department of Pathology, The Second Hospital, Dalian Medical University, Dalian, PR China
| | - Yifeng Zhu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
| | - Zhenzhen Yin
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
| | - Yu Zhang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
| | - Shaowu Wang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China
| |
Collapse
|
7
|
Lee YJ, Kim SH, Kang BJ, Son YH, Grimm R. Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer. Medicine (Baltimore) 2021; 100:e27495. [PMID: 34731130 PMCID: PMC8519258 DOI: 10.1097/md.0000000000027495] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 09/23/2021] [Indexed: 01/05/2023] Open
Abstract
Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) can be used to estimate perfusion-related parameters, but these parameters may differ, based on the curve-fitting algorithm used for IVIM. Microvessel density (MVD) and vascular endothelial growth factor (VEGF) status are used as angiogenic factors in breast cancer. We aimed to investigate the relationship between MVD, VEGF, and intravoxel incoherent motion (IVIM)-derived parameters, obtained by 4 curve-fitting algorithms, in patients with invasive breast cancers.This retrospective study investigated IVIM-derived parameters, D (ie, tissue diffusivity), D∗ (ie, pseudodiffusivity), and f (ie, perfusion fraction), of 55 breast cancers, using 10 b values (range, 0-800 s/mm2) and 4 curve-fitting algorithms: algorithm 1, linear fitting of D and f first, followed by D∗; algorithm 2, linear fitting of D and f and nonlinear fitting of D∗; algorithm 3, linear fitting of D and f, linear fitting of D∗, and ignoring D contribution for low b values; and algorithm 4, full nonlinear fitting of D, f, and D∗. We evaluated whole-tumor histograms of D, f, and D∗ for their association with MVD and VEGF.D∗10, D∗25, D∗50, D∗mean, D∗75, D∗90, f10, and f25, derived using algorithm 3, were associated with VEGF expression (P = .043, P = 0.012, P = .019, P = .024, P = .044, P = .041, P = .010, and P = .005, respectively). However, no correlation existed between MVD and IVIM-derived parameters.Perfusion-related IVIM parameters obtained by curve-fitting algorithm 3 may reflect VEGF expression.
Collapse
Affiliation(s)
- Youn Joo Lee
- Department of Radiology, Daejeon St. Mary's Hospital, Daejeon
| | - Sung Hun Kim
- Seoul St. Mary's Hospital, The Catholic University of Korea, Republic of Korea
| | - Bong Joo Kang
- Seoul St. Mary's Hospital, The Catholic University of Korea, Republic of Korea
| | | | | |
Collapse
|