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Corrias G, Lai E, Ziranu P, Mariani S, Donisi C, Liscia N, Saba G, Pretta A, Persano M, Fanni D, Spanu D, Balconi F, Loi F, Deidda S, Restivo A, Pusceddu V, Puzzoni M, Solinas C, Massa E, Madeddu C, Gerosa C, Zorcolo L, Faa G, Saba L, Scartozzi M. Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging. Cancers (Basel) 2024; 16:1364. [PMID: 38611042 PMCID: PMC11011199 DOI: 10.3390/cancers16071364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 03/24/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Colorectal cancer (CRC) is a leading tumor worldwide. In CRC, the angiogenic pathway plays a crucial role in cancer development and the process of metastasis. Thus, anti-angiogenic drugs represent a milestone for metastatic CRC (mCRC) treatment and lead to significant improvement of clinical outcomes. Nevertheless, not all patients respond to treatment and some develop resistance. Therefore, the identification of predictive factors able to predict response to angiogenesis pathway blockade is required in order to identify the best candidates to receive these agents. Unfortunately, no predictive biomarkers have been prospectively validated to date. Over the years, research has focused on biologic factors such as genetic polymorphisms, circulating biomarkers, circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and microRNA. Moreover, research efforts have evaluated the potential correlation of molecular biomarkers with imaging techniques used for tumor assessment as well as the application of imaging tools in clinical practice. In addition to functional imaging, radiomics, a relatively newer technique, shows real promise in the setting of correlating molecular medicine to radiological phenotypes.
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Affiliation(s)
- Giuseppe Corrias
- Department of Radiology, University of Cagliari, 09042 Cagliari, Italy;
| | - Eleonora Lai
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Pina Ziranu
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Stefano Mariani
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Clelia Donisi
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Nicole Liscia
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy;
| | - Giorgio Saba
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Andrea Pretta
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Mara Persano
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Daniela Fanni
- Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy; (D.F.); (C.G.); (G.F.)
| | - Dario Spanu
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Francesca Balconi
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Francesco Loi
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Simona Deidda
- Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy; (S.D.); (A.R.); (L.Z.)
| | - Angelo Restivo
- Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy; (S.D.); (A.R.); (L.Z.)
| | - Valeria Pusceddu
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Marco Puzzoni
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Cinzia Solinas
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Elena Massa
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Clelia Madeddu
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
| | - Clara Gerosa
- Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy; (D.F.); (C.G.); (G.F.)
| | - Luigi Zorcolo
- Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy; (S.D.); (A.R.); (L.Z.)
| | - Gavino Faa
- Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy; (D.F.); (C.G.); (G.F.)
| | - Luca Saba
- Department of Radiology, University of Cagliari, 09042 Cagliari, Italy;
| | - Mario Scartozzi
- Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy; (E.L.); (P.Z.); (S.M.); (C.D.); (G.S.); (A.P.); (M.P.); (D.S.); (F.B.); (F.L.); (V.P.); (M.P.); (C.S.); (E.M.); (C.M.); (M.S.)
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Talakić E, Kaufmann-Bühler AK, Igrec J, Adelsmayr G, Janisch M, Döller C, Geyer E, Lackner K, Fuchsjäger M, Schöllnast H. Perfusion Computed Tomography in Rectal Carcinoma: Influence of Optimization of the Patlak Range on Calculation of Equivalent Blood Volume and Flow Extraction. J Comput Assist Tomogr 2023; 47:850-855. [PMID: 37948358 DOI: 10.1097/rct.0000000000001506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
PURPOSE The aim of the study is to assess the influence of manual adjustment of the Patlak range in computed tomography (CT) perfusion analysis of rectal carcinoma compared with default range of the perfusion software. METHODS This study was approved by the institutional review board and informed consent was obtained. Twenty-one patients (12 male, 9 female; mean age ± SD, 59 ± 11 years) with rectal cancer were included and underwent perfusion CT before preoperative chemoradiotherapy. Equivalent blood volume (BV) and flow-extraction (FE) were calculated using the Patlak plot model. Two perfusion sets were calculated per patient, a perfusion set using the default setting as provided by the software (dBV, dFE) and an optimized perfusion set after manual adaption of the Patlak range (aBV, aFE), which was limited to the intravascular space clearance of contrast to the extravascular space. Perfusion values calculated with both methods were compared for significance in differences using the Wilcoxon test. A P value of 0.05 or less was defined as statistically significant. RESULTS Adjustment of the Patlak range statistically significantly influenced BV and FE calculation. Median dBV was 23.2 mL/100 mL (interquartile range [IQR], 12.1 mL/100 mL), whereas median aBV was 20.3 mL/100 mL (IQR, 10.9 mL/100 mL). The difference in BV was statistically significant ( P = 0.021). Median dFE was 8.3 mL/min/100 mL (IQR, 4.7 mL/min/100 mL), whereas median aFE was 15.4 mL/min/100 mL (IQR, 5.8 mL/min/100 mL). The difference in FE was statistically significant ( P < 0.001). CONCLUSIONS Our findings indicate that in perfusion CT of rectal carcinoma, adjustment of the Patlak range may significantly influence BV and FE compared with default setting of the software. This may contribute to standardization in the use of this technique for functional imaging of rectal cancer.
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Affiliation(s)
- Emina Talakić
- From the Division of General Radiology, Department of Radiology, Medical University of Graz
| | | | - Jasminka Igrec
- From the Division of General Radiology, Department of Radiology, Medical University of Graz
| | - Gabriel Adelsmayr
- From the Division of General Radiology, Department of Radiology, Medical University of Graz
| | - Michael Janisch
- From the Division of General Radiology, Department of Radiology, Medical University of Graz
| | - Carmen Döller
- Department of Therapeutic Radiology and Oncology, Medical University of Graz
| | - Edith Geyer
- Department of Therapeutic Radiology and Oncology, Medical University of Graz
| | - Karoline Lackner
- Diagnostic and Research Institute of Pathology, Medical University of Graz
| | - Michael Fuchsjäger
- From the Division of General Radiology, Department of Radiology, Medical University of Graz
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Ozkara BB, Karabacak M, Margetis K, Yedavalli VS, Wintermark M, Bisdas S. Assessment of Computed Tomography Perfusion Research Landscape: A Topic Modeling Study. Tomography 2023; 9:2016-2028. [PMID: 37987344 PMCID: PMC10661298 DOI: 10.3390/tomography9060158] [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: 09/22/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023] Open
Abstract
The number of scholarly articles continues to rise. The continuous increase in scientific output poses a challenge for researchers, who must devote considerable time to collecting and analyzing these results. The topic modeling approach emerges as a novel response to this need. Considering the swift advancements in computed tomography perfusion (CTP), we deem it essential to launch an initiative focused on topic modeling. We conducted a comprehensive search of the Scopus database from 1 January 2000 to 16 August 2023, to identify relevant articles about CTP. Using the BERTopic model, we derived a group of topics along with their respective representative articles. For the 2020s, linear regression models were used to identify and interpret trending topics. From the most to the least prevalent, the topics that were identified include "Tumor Vascularity", "Stroke Assessment", "Myocardial Perfusion", "Intracerebral Hemorrhage", "Imaging Optimization", "Reperfusion Therapy", "Postprocessing", "Carotid Artery Disease", "Seizures", "Hemorrhagic Transformation", "Artificial Intelligence", and "Moyamoya Disease". The model provided insights into the trends of the current decade, highlighting "Postprocessing" and "Artificial Intelligence" as the most trending topics.
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Affiliation(s)
- Burak B. Ozkara
- Department of Neuroradiology, MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA
| | - Mert Karabacak
- Department of Neurosurgery, Mount Sinai Health System, 1468 Madison Avenue, New York, NY 10029, USA
| | - Konstantinos Margetis
- Department of Neurosurgery, Mount Sinai Health System, 1468 Madison Avenue, New York, NY 10029, USA
| | - Vivek S. Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, 600 N Wolfe Street, Baltimore, MD 21287, USA
| | - Max Wintermark
- Department of Neuroradiology, MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA
| | - Sotirios Bisdas
- Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London WC1N 3BG, UK
- Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Chen SH, Miles K, Taylor SA, Ganeshan B, Rodriquez M, Fraioli F, Wan S, Afaq A, Shortman R, Walls D, Hoy L, Endozo R, Bhargava A, Hanson M, Huang J, Raouf S, Francis D, Siddiqi S, Arulampalam T, Sizer B, Machesney M, Reay-Jones N, Dindyal S, Ng T, Groves AM. FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis. Eur J Nucl Med Mol Imaging 2021; 49:371-384. [PMID: 33837843 PMCID: PMC8712298 DOI: 10.1007/s00259-021-05318-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 03/13/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE This study assesses the potential for vascular-metabolic imaging with FluoroDeoxyGlucose (FDG)-Positron Emission Tomography/Computed Tomography (PET/CT) perfusion to provide markers of prognosis specific to the site and stage of colorectal cancer. METHODS This prospective observational study comprised of participants with suspected colorectal cancer categorized as either (a) non-metastatic colon cancer (M0colon), (b) non-metastatic rectal cancer (M0rectum), or (c) metastatic colorectal cancer (M+). Combined FDG-PET/CT perfusion imaging was successfully performed in 286 participants (184 males, 102 females, age: 69.60 ± 10 years) deriving vascular and metabolic imaging parameters. Vascular and metabolic imaging parameters alone and in combination were investigated with respect to overall survival. RESULTS A vascular-metabolic signature that was significantly associated with poorer survival was identified for each patient group: M0colon - high Total Lesion Glycolysis (TLG) with increased Permeability Surface Area Product/Blood Flow (PS/BF), Hazard Ratio (HR) 3.472 (95% CI: 1.441-8.333), p = 0.006; M0rectum - high Metabolic Tumour Volume (MTV) with increased PS/BF, HR 4.567 (95% CI: 1.901-10.970), p = 0.001; M+ participants, high MTV with longer Time To Peak (TTP) enhancement, HR 2.421 (95% CI: 1.162-5.045), p = 0.018. In participants with stage 2 colon cancer as well as those with stage 3 rectal cancer, the vascular-metabolic signature could stratify the prognosis of these participants. CONCLUSION Vascular and metabolic imaging using FDG-PET/CT can be used to synergise prognostic markers. The hazard ratios suggest that the technique may have clinical utility.
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Affiliation(s)
- Shih-hsin Chen
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Kenneth Miles
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Stuart A. Taylor
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
- Centre for Medical Imaging, University College London, London, UK
| | - Balaji Ganeshan
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Manuel Rodriquez
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
- Department of Research Pathology, Cancer Institute, UCL, London, UK
| | - Francesco Fraioli
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Simon Wan
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Asim Afaq
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
- University of Iowa, Carver College of Medicine, Iowa City, USA
| | - Robert Shortman
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Darren Walls
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Luke Hoy
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Raymond Endozo
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Aman Bhargava
- Institute of Health Barts and London Medical School, Queen Mary University of London (QMUL), London, UK
| | - Matthew Hanson
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
| | - Joseph Huang
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
| | - Sherif Raouf
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
- Radiotherapy Department, Barts Cancer Centre, St Bartholomew’s Hospital, West Smithfield, London, UK
| | - Daren Francis
- Royal Free London NHS Foundation Trust, Department of Colorectal Surgery, Barnet and Chase Farm Hospitals, London, UK
| | - Shahab Siddiqi
- Mid Essex Hospital Services NHS Trust, Department of Lower GI Surgery and Coloproctology, Broomfield Hospital, Essex, UK
| | - Tan Arulampalam
- East Suffolk and North Essex NHS Foundation Trust, Department of Surgery & Department of Clinical Oncology, Colchester General Hospital, Essex, UK
| | - Bruce Sizer
- East Suffolk and North Essex NHS Foundation Trust, Department of Surgery & Department of Clinical Oncology, Colchester General Hospital, Essex, UK
| | - Michael Machesney
- Barts Health NHS Trust, Cancer Clinical Board, Colorectal Surgery, Whipps Cross Hospital, London, UK
| | - Nicholas Reay-Jones
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Queen Elizabeth II Hospital, Hertfordshire, UK
| | - Sanjay Dindyal
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Lister Hospital, Hertfordshire, UK
| | - Tony Ng
- School of Cancer & Pharmaceutical Sciences, Kings College London (KCL), London, UK
| | - Ashley M Groves
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
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Halligan S, Menu Y, Mallett S. Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting. Eur Radiol 2021; 31:9361-9368. [PMID: 34003349 PMCID: PMC8589811 DOI: 10.1007/s00330-021-07971-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/06/2021] [Accepted: 03/31/2021] [Indexed: 12/23/2022]
Abstract
This review explains in simple terms, accessible to the non-statistician, general principles regarding the correct research methods to develop and then evaluate imaging biomarkers in a clinical setting, including radiomic biomarkers. The distinction between diagnostic and prognostic biomarkers is made and emphasis placed on the need to assess clinical utility within the context of a multivariable model. Such models should not be restricted to imaging biomarkers and must include relevant disease and patient characteristics likely to be clinically useful. Biomarker utility is based on whether its addition to the basic clinical model improves diagnosis or prediction. Approaches to both model development and evaluation are explained and the need for adequate amounts of representative data stressed so as to avoid underpowering and overfitting. Advice is provided regarding how to report the research correctly. KEY POINTS: • Imaging biomarker research is common but methodological errors are encountered frequently that may mean the research is not clinically useful. • The clinical utility of imaging biomarkers is best assessed by their additive effect on multivariable models based on clinical factors known to be important. • The data used to develop such models should be sufficient for the number of variables investigated and the model should be evaluated, preferably using data unrelated to development.
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Affiliation(s)
- Steve Halligan
- Centre for Medical Imaging, University College London UCL, 43-45 Foley Street, London, W1W 7TS, UK.
| | - Yves Menu
- Department of Diagnostic and Interventional Radiology, Saint Antoine Hospital, APHP-Sorbonne University, Paris, France
| | - Sue Mallett
- Centre for Medical Imaging, University College London UCL, 43-45 Foley Street, London, W1W 7TS, UK
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Ippolito D, Pecorelli A, Querques G, Drago SG, Maino C, Franzesi CT, Hatzidakis A, Sironi S. Dynamic Computed Tomography Perfusion Imaging: Complementary Diagnostic Tool in Hepatocellular Carcinoma Assessment From Diagnosis to Treatment Follow-up. Acad Radiol 2019; 26:1675-1685. [PMID: 30852079 DOI: 10.1016/j.acra.2019.02.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 02/05/2023]
Abstract
Early diagnosis of HCC is of paramount importance in order to enable the application of curative treatments. Among these, radiofrequency ablation (RFA) is actually considered the most effective ablative therapy for early stage hepatocellular carcinoma (HCC) not suitable for surgery. On the other hand, transarterial chemoembolization (TACE) represents the standard of care for intermediate stage HCC and compensated liver function. Finally, sorafenib, an oral antiangiogenic targeted drug, is the only approved systemic therapy for advanced HCC with vascular invasion, extrahepatic spread, and well-preserved liver function. Beside traditional radiological techniques, new functional imaging tools have been introduced in order to provide not only morphological information but also quantitative functional data. In this review, we analyze perfusion-CT (pCT) from a technical point of view, describing the main different mathematical analytical models for the quantification of tissue perfusion from acquired CT raw data, the most commonly acquired perfusion parameters, and the technical parameters required to perform a standard pCT examination. Moreover, a systematic review of the literature was performed to assess the role of pCT as an emerging imaging biomarker for HCC diagnosis, response evaluation to RFA, TACE, and sorafenib, and we examine its challenges in HCC management.
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Affiliation(s)
- Davide Ippolito
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Anna Pecorelli
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy.
| | - Giulia Querques
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Silvia Girolama Drago
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Cesare Maino
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Cammillo Talei Franzesi
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Adam Hatzidakis
- Department of Medical Imaging, University Hospital of Heraklion, Greece
| | - Sandro Sironi
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy
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Badia S, Picchia S, Bellini D, Ferrari R, Caruso D, Paolantonio P, Carbone I, Laghi A, Rengo M. The Role of Contrast-Enhanced Imaging for Colorectal Cancer Management. CURRENT COLORECTAL CANCER REPORTS 2019. [DOI: 10.1007/s11888-019-00443-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25:5233-5256. [PMID: 31558870 PMCID: PMC6761241 DOI: 10.3748/wjg.v25.i35.5233] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/06/2019] [Accepted: 08/24/2019] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians’ disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the “in vivo” evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.
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Affiliation(s)
- Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples 80145, Italy
| | - Arnaldo Stanzione
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Salvatore Guarino
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Valeria Romeo
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Lorenzo Ugga
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Federica Romano
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Giovanni Storto
- IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture 85028, Italy
| | - Simone Maurea
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Arturo Brunetti
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
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9
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Brown PJ, Hyland R, Quyn AJ, West NP, Sebag-Montefiore D, Jayne D, Sagar P, Tolan DJ. Current concepts in imaging for local staging of advanced rectal cancer. Clin Radiol 2019; 74:623-636. [PMID: 31036310 DOI: 10.1016/j.crad.2019.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/22/2019] [Indexed: 12/20/2022]
Abstract
Imaging of rectal cancer has an increasingly pivotal role in the diagnosis, staging, and treatment stratification of patients with the disease. This is particularly true for advanced rectal cancers where magnetic resonance imaging (MRI) findings provide essential information that can change treatment. In this review we describe the rationale for the current imaging standards in advanced rectal cancer for both morphological and functional imaging on the baseline staging and reassessment studies. In addition the clinical implications and future methods by which radiologists may improve these are outlined relative to TNM8.
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Affiliation(s)
- P J Brown
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK.
| | - R Hyland
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - A J Quyn
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - N P West
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Welcome Trust Brenner Building, St James's University Hospital, Leeds, LS9 7TF, UK
| | - D Sebag-Montefiore
- Department of Clinical Oncology, Bexley Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D Jayne
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - P Sagar
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D J Tolan
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
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10
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Extent of enhancement on multiphase contrast-enhanced CT images is a potential prognostic factor of stage I-III colon cancer. Eur Radiol 2018; 29:1114-1123. [PMID: 30255251 DOI: 10.1007/s00330-018-5689-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 07/14/2018] [Accepted: 07/30/2018] [Indexed: 01/22/2023]
Abstract
OBJECTIVE By evaluating extent of tumour enhancement on preoperative contrast-enhanced MDCT, we aimed to establish an imaging-based model to predict cancer-specific survival in stage I-III colon cancer. METHODS A total of 548 stage I-III colon cancer patients who underwent curative resection from 2007 to 2013 were retrospectively included and divided into primary cohort and validation cohort according to admission time. The attenuation coefficient of each colon cancer was measured on the workstation by drawing the ROI in CT images. The enhancement ratio was calculated using maximum tumour attenuation value in triphasic MDCT scanning divided by the minimum. Patients were divided into low/high-enhancement groups according to the optimal cut-off value derived from time-dependent ROC curve. Kaplan-Meier method and COX regression analysis were adopted to evaluate prognostic value of variables. A nomogram for prognosis was conducted on the basis of a multivariate Cox proportional hazard model. RESULTS No significant differences were observed in age, sex, pTNM stage, perioperative chemoradiotherapy, serum CEA, tumour size, tumour localisation and histologic type between low- and high-enhancement groups. The high-enhancement group had a significantly shorter cancer-specific survival rate (69.5%) than the low-enhancement group (85.9%) (p < 0.001). Subgroup analysis indicated that high-enhancement state was closely associated with increased risk of colon cancer mortality in stage I (p = 0.033), stage II (p = 0.002) and stage III (p = 0.014). Cox regression analysis indicated the extent of enhancement was an independent prognostic factor (HR 2.258, 95% CI 1.476-3.455; p < 0.001). CONCLUSIONS The extent of tumour enhancement on MDCT can serve as a potential risk factor for stage I-III colon cancer. KEY POINTS • Survival rates of stage I-III colon cancer vary widely even within the same stage. • Prognostic value of the extent of tumour enhancement on MDCT was assessed. • The high-enhancement group had a significantly shorter cancer-specific survival rate.
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11
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Ippolito D, Querques G, Okolicsanyi S, Talei Franzesi C, Pecorelli A, Lombardi S, Orsini E, Strazzabosco M, Sironi S. Dynamic contrast enhanced perfusion CT imaging: A diagnostic biomarker tool for survival prediction of tumour response to antiangiogenetic treatment in patients with advanced HCC lesions. Eur J Radiol 2018; 106:62-68. [PMID: 30150052 DOI: 10.1016/j.ejrad.2018.07.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 05/24/2018] [Accepted: 07/12/2018] [Indexed: 02/08/2023]
Abstract
PURPOSE To investigate whether perfusion-CT (p-CT) imaging could depict the inhibition of tumor neoangiogenesis induced by Sorafenib in advanced hepatocellular carcinoma (HCC), and whether it could be useful in predicting survival during treatment. MATERIALS AND METHODS Ninety-eight p-CT examinations were performed among 29 cirrhotic patients, with advanced HCC, before and every 2 months after Sorafenib administration, on a 256-slice MDCT scanner. Perfusion parameters were considered and statistically compared, at baseline and follow-up, between non-progressor (complete response, stable disease or partial response) and progressor (progressive disease) group. Kaplan-Meier analyses estimated the time-to-survival in overall population, after stratifying patients according to mRECIST. RESULTS The group that responded to Sorafenib showed a significant reduction of values in HCC target lesions after anti-angiogenic therapy (p < 0.01), in comparison with progressor group that demonstrated an increase or no significant variation. When patients were stratified into mRECIST, higher survival rate was observed in the non-progressor group compared to the progressor (48.6% vs 28.6%), and statistically significant correlation (p=0.01) was found between percentage variation of perfusion parameters, from baseline to follow-up, and overall survival rate. CONCLUSION Quantitative analysis of perfusion parameters, represents prognostic indicators useful in assessment of response to anti-angiogenic therapy, allowing for optimization of individualized treatment.
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Affiliation(s)
- Davide Ippolito
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy.
| | - Giulia Querques
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Stefano Okolicsanyi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Surgery and Interdisciplinary Medicine, University of Milano-Bicocca, Milan, Italy
| | - Cammillo Talei Franzesi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Anna Pecorelli
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo BG, Italy
| | - Sophie Lombardi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Eleonora Orsini
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Mario Strazzabosco
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Surgery and Interdisciplinary Medicine, University of Milano-Bicocca, Milan, Italy; Liver Center Section of Digestive Diseases, Yale University, New Haven, CT, USA
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo BG, Italy
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Niu T, Yang P, Sun X, Mao T, Xu L, Yue N, Kuang Y, Shi L, Nie K. Variations of quantitative perfusion measurement on dynamic contrast enhanced CT for colorectal cancer: implication of standardized image protocol. Phys Med Biol 2018; 63:165009. [PMID: 29889046 DOI: 10.1088/1361-6560/aacb99] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Tumor angiogenesis is considered an important prognostic factor. With an increasing emphasis on imaging evaluation of the tumor microenvironment, dynamic contrast enhanced-computed tomography (DCE-CT) has evolved as an important functional technique in this setting. Yet many questions remain as to how and when these functional measurements should be performed for each agent and tumor type, and what quantitative models should be used in the fitting process. In this study, we evaluated the variations of perfusion measurement on DCE-CT for rectal cancer patients from (1) different tracer kinetic models, (2) different scan acquisition lengths, and (3) different scan intervals. A total of seven commonly used models were studied: the adiabatic approximation to the tissue homogeneity (AATH) model, adiabatic approximation to the homogeneity tissue with fixed transit time (AATHFT) model, the Tofts model (TM), the extended Tofts model (ETM), Patlak model, Logan model, and the model-free deconvolution method. Akaike's information criterion was used to identify the best fitting model. The interchangeability of different models was further evaluated using Bland-Altman analysis. All models gave comparable blood volume (BV) measurements except the Patlak method. While for the volume transfer constant (Ktrans) estimation, AATHFT, AATH, and ETM generated reasonable agreement among each other but not for the other models. Regarding the blood flow (BF) measurement, no two models were interchangeable. In addition, the perfusion parameters were compared with four acquisition times (45, 65, 85, and 105 s) and four temporal intervals (1, 2, 3, and 4 s). No significant difference was observed in the volume transfer constant (Ktrans), BV, and BF measurements when comparing data acquired over 65 s with data acquired over 105 s using any of the DCE models in this study. Yet increasing the temporal interval led to a significant overestimation of BF in the deconvolution method. In conclusion, the perfusion measurement is indeed model dependent and the image acquisition/processing technique is dependent. The radiation dose of DCE-CT was an average of 1.5-2 times an abdomen/pelvic CT, which is not insubstantial. To take the DCE-CT forward as a biomarker in oncology, prospective studies should be carefully designed with the optimal image acquisition and analysis technique.
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Affiliation(s)
- Tianye Niu
- Institute of Translational Medicine, Zhejiang University, Hangzhou 310013, People's Republic of China. Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310019, People's Republic of China. Both authors contribute equally
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13
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Chand M, Keller DS, Mirnezami R, Bullock M, Bhangu A, Moran B, Tekkis PP, Brown G, Mirnezami A, Berho M. Novel biomarkers for patient stratification in colorectal cancer: A review of definitions, emerging concepts, and data. World J Gastrointest Oncol 2018; 10:145-158. [PMID: 30079141 PMCID: PMC6068858 DOI: 10.4251/wjgo.v10.i7.145] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 04/22/2018] [Accepted: 06/08/2018] [Indexed: 02/05/2023] Open
Abstract
Colorectal cancer (CRC) treatment has become more personalised, incorporating a combination of the individual patient risk assessment, gene testing, and chemotherapy with surgery for optimal care. The improvement of staging with high-resolution imaging has allowed more selective treatments, optimising survival outcomes. The next step is to identify biomarkers that can inform clinicians of expected prognosis and offer the most beneficial treatment, while reducing unnecessary morbidity for the patient. The search for biomarkers in CRC has been of significant interest, with questions remaining on their impact and applicability. The study of biomarkers can be broadly divided into metabolic, molecular, microRNA, epithelial-to-mesenchymal-transition (EMT), and imaging classes. Although numerous molecules have claimed to impact prognosis and treatment, their clinical application has been limited. Furthermore, routine testing of prognostic markers with no demonstrable influence on response to treatment is a questionable practice, as it increases cost and can adversely affect expectations of treatment. In this review we focus on recent developments and emerging biomarkers with potential utility for clinical translation in CRC. We examine and critically appraise novel imaging and molecular-based approaches; evaluate the promising array of microRNAs, analyze metabolic profiles, and highlight key findings for biomarker potential in the EMT pathway.
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Affiliation(s)
- Manish Chand
- GENIE Centre, University College London, London W1W 7TS, United Kingdom
| | - Deborah S Keller
- Department of Surgery, Columbia University Medical Centre, New York, NY 10032, United States
| | - Reza Mirnezami
- Department of Surgery, Imperial College London, London SW7 2AZ, United Kingdom
| | - Marc Bullock
- Department of Surgery, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Aneel Bhangu
- Department of Surgery, University of Birmingham, Birmingham B15 2QU, United Kingdom
| | - Brendan Moran
- Department of Colorectal Surgery, North Hampshire Hospital, Basingstoke RG24 7AL, United Kingdom
| | - Paris P Tekkis
- Department of Colorectal Surgery, Royal Marsden Hospital and Imperial College London, London SW3 6JJ, United Kingdom
| | - Gina Brown
- Department of Radiology, Royal Marsden Hospital and Imperial College London, London SW3 6JJ, United Kingdom
| | - Alexander Mirnezami
- Department of Surgical Oncology, University of Southampton and NIHR, Southampton SO17 1BJ, United Kingdom
| | - Mariana Berho
- Department of Pathology, Cleveland Clinic Florida, Weston, FL 33331, United States
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14
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Intravoxel Incoherent Motion MRI of Rectal Cancer: Correlation of Diffusion and Perfusion Characteristics With Prognostic Tumor Markers. AJR Am J Roentgenol 2018; 210:W139-W147. [PMID: 29446674 DOI: 10.2214/ajr.17.18342] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The objective of our study was to evaluate the intravoxel incoherent motion (IVIM)-DWI derived parameters and their relationships with tumor prognostic markers using 3-T MRI in patients with rectal cancer. SUBJECTS AND METHODS Fifty-two patients with histopathologically proven rectal cancer who underwent preoperative pelvic MRI were prospectively enrolled in this study. Diffusion and perfusion parameters including the apparent diffusion coefficient (ADC), pure diffusion coefficient, perfusion fraction, and pseudodiffusion coefficient derived from IVIMDWI were independently measured by two radiologists. Comparisons of IVIM-DWI-derived parameters in patients with different tumor prognostic markers were made using the independent-samples t test, ANOVA, and Mann-Whitney U test. The correlations between IVIM-DWI-derived parameters and tumor grade and tumor stage were further evaluated using Spearman correlation analysis. Interobserver agreement was evaluated using the intraclass correlation coefficient (ICC). RESULTS Excellent interobserver reproducibility was obtained for the IVIM-DWI-derived parameters (range of ICCs with 95% limits of agreement = 0.9309-0.9948, which is narrow). ADC, pseudodiffusion coefficient, and perfusion fraction tended to rise with greater tumor differentiation (r = 0.520, p < 0.001; r = 0.447, p = 0.001; r = 0.354, p = 0.010, respectively). The pure diffusion coefficient and pseudodiffusion coefficient showed a trend of decreasing with increasing tumor stages (r = 0.479, p < 0.001; r = 0.517, p < 0.001). The group of patients with extramural vascular invasion (EMVI) showed lower pseudodiffusion coefficient values than the group of patients with no EMVI (p < 0.05). CONCLUSION IVIM-DWI-derived parameters in patients with rectal cancer, especially the pseudodiffusion coefficient, are associated with tumor grade and tumor stage and show statistically significant differences between subjects with EMVI and those without EMVI. IVIM-DWI-derived parameters would be helpful in predicting tumor aggressiveness and prognosis.
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15
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Prezzi D, Goh V, Virdi S, Mallett S, Grierson C, Breen D. Adaptive statistical iterative reconstruction improves image quality without affecting perfusion CT quantitation in primary colorectal cancer. Eur J Radiol Open 2017; 4:69-74. [PMID: 28616448 PMCID: PMC5458094 DOI: 10.1016/j.ejro.2017.05.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 05/22/2017] [Accepted: 05/22/2017] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES To determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer. METHODS Prospective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman' rank order correlation were performed with statistical significance at 5%. RESULTS With increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively. CONCLUSIONS ASIR improves image noise and CNR without altering pCT parameters substantially.
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Affiliation(s)
- D. Prezzi
- Division of Imaging Sciences & Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, United Kingdom
| | - V. Goh
- Division of Imaging Sciences & Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, United Kingdom
| | - S. Virdi
- Division of Imaging Sciences & Biomedical Engineering, King’s College London, 4th Floor, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, United Kingdom
| | - S. Mallett
- Institute of Applied Health Research, University of Birmingham, United Kingdom
| | - C. Grierson
- University Hospital Southampton NHS Foundation Trust, United Kingdom
| | - D.J. Breen
- University Hospital Southampton NHS Foundation Trust, United Kingdom
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16
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Abstract
PURPOSE To evaluate the capacity of perfusion CT imaging to distinguish between complete and incomplete responders after neoadjuvant chemoradiation therapy for rectal carcinoma, with particular attention to segmentation technique. MATERIALS AND METHODS 17 patients were evaluated in this prospective IRB-approved study. For each patient, a perfusion CT acquisition was obtained prior to the initiation of chemoradiation, at 1-2 weeks after the start of chemoradiation, and at 12 weeks after the start of chemoradiation therapy. From each dataset, three perfusion parameters were measured, each in two different ways: a region of interest incorporating only "hot spots" of greatest enhancement and whole-tumor measurements. RESULTS In univariate analysis, blood volume and permeability differed significantly between responders and non-responders. In logistic regression analysis evaluating predictors of the "complete response" outcome, only two predictors were retained as statistically significant: peak hot spot blood volume 1-2 weeks into therapy (OR 10.25, p = 0.0026) and hot spot permeability decline at 12 weeks after the initiation of therapy (OR 5.62, p = 0.03). The overall likelihood ratio test for this model supported the conclusion that hot spot blood volume and hot spot permeability decline were significant predictors of the complete pathologic response outcome (p < 0.0001). CONCLUSION In this pilot study, peak tumor blood volume and decline in tumor permeability, when measured in "hot spots" of greatest enhancement, were strong predictors of complete therapeutic response in rectal cancer after neoadjuvant therapy.
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17
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Grøvik E, Redalen KR, Storås TH, Negård A, Holmedal SH, Ree AH, Meltzer S, Bjørnerud A, Gjesdal KI. Dynamic multi-echo DCE- and DSC-MRI in rectal cancer: Low primary tumor K trans and ΔR2* peak are significantly associated with lymph node metastasis. J Magn Reson Imaging 2016; 46:194-206. [PMID: 28001320 DOI: 10.1002/jmri.25566] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 11/08/2016] [Indexed: 12/16/2022] Open
Abstract
PURPOSE To implement a dynamic contrast-based multi-echo MRI sequence in assessment of rectal cancer and evaluate associations between histopathologic data and the acquired dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) -MRI parameters. MATERIALS AND METHODS This pilot study reports results from 17 patients with resectable rectal cancer. Dynamic contrast-based multi-echo MRI (1.5T) was acquired using a three-dimensional multi-shot EPI sequence, yielding both DCE- and DSC-data following a single injection of contrast agent. The Institutional Review Board approved the study and all patients provided written informed consent. Quantitative analysis was performed by pharmacokinetic modeling on DCE data and tracer kinetic modeling on DSC data. Mann-Whitney U-test and receiver operating characteristics curve statistics was used to evaluate associations between histopathologic data and the acquired DCE- and DSC-MRI parameters. RESULTS For patients with histologically confirmed nodal metastasis, the primary tumor demonstrated a significantly lower Ktrans and peak change in R2*, R2*-peakenh , than patients without nodal metastasis, showing a P-value of 0.010 and 0.005 for reader 1, and 0.043 and 0.019 for reader 2, respectively. CONCLUSION This study shows the feasibility of acquiring DCE- and DSC-MRI in rectal cancer by dynamic multi-echo MRI. A significant association was found between both Ktrans and R2*-peakenh in the primary tumor and histological nodal status of the surgical specimen, which may improve stratification of patients to intensified multimodal treatment. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:194-206.
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Affiliation(s)
- Endre Grøvik
- Oslo University Hospital, The Intervention Centre, Oslo, Norway.,University of Oslo, Department of Physics, Blindern, Oslo, Norway
| | | | | | - Anne Negård
- Akershus University Hospital, Department of Radiology, Lørenskog, Norway
| | | | - Anne Hansen Ree
- Akershus University Hospital, Department of Oncology, Lørenskog, Norway.,University of Oslo, Faculty of Medicine, Blindern, Oslo, Norway
| | - Sebastian Meltzer
- Akershus University Hospital, Department of Oncology, Lørenskog, Norway.,University of Oslo, Faculty of Medicine, Blindern, Oslo, Norway
| | - Atle Bjørnerud
- Oslo University Hospital, The Intervention Centre, Oslo, Norway.,University of Oslo, Department of Physics, Blindern, Oslo, Norway
| | - Kjell-Inge Gjesdal
- Akershus University Hospital, Department of Radiology, Lørenskog, Norway.,Sunnmøre MR-klinikk, Ålesund, Norway
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18
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Exploration of Imaging Biomarkers for Predicting Survival of Patients With Advanced Non–Small Cell Lung Cancer Treated With Antiangiogenic Chemotherapy. AJR Am J Roentgenol 2016; 206:987-93. [DOI: 10.2214/ajr.15.15528] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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19
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Zongqiong S, Xiaohong L, Wei C, Jiangfeng Z, Yuxi G, Zhihui X, Linfang J, Yong P, Gen Y. CT perfusion imaging of the stomach: a quantitative analysis according to different degrees of adenocarcinoma cell differentiation. Clin Imaging 2015; 40:558-62. [PMID: 27133704 DOI: 10.1016/j.clinimag.2015.11.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 11/09/2015] [Accepted: 11/17/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To evaluate clinical usefulness of computed tomography perfusion imaging (CTPI) in gastric cancer. MATERIALS AND METHODS Twenty subjects without gastric diseases (control group) and fifty patients with gastric cancer were studied prospectively using CTPI examinations. Four perfusion parameter values, i.e., blood flow (BF), blood volume (BV), mean transit time, and permeability surface (PS), were calculated. The gastric cancer group was divided into three groups: well differentiated, moderately differentiated, and poorly differentiated gastric adenocarcinoma. RESULTS Comparing the three groups, differences between the well-differentiated group and the moderately differentiated group or the poorly differentiated group were all statistically significant for BF, BV, and PS. CONCLUSION The BF, BV, and PS values could serve as indicators of the degree of malignancy of gastric cancer.
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Affiliation(s)
- Sun Zongqiong
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Li Xiaohong
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Cai Wei
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Zhou Jiangfeng
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Ge Yuxi
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Xie Zhihui
- Department of Surgical Gastroenterology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Jin Linfang
- Department of Pathology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Pu Yong
- Department of Pathology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China
| | - Yan Gen
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Forth People's Hospital of Wuxi City, Wuxi, 214062, China.
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Xu Y, Sun H, Song A, Yang Q, Lu X, Wang W. Predictive Significance of Tumor Grade Using 256-Slice CT Whole-Tumor Perfusion Imaging in Colorectal Adenocarcinoma. Acad Radiol 2015; 22:1529-35. [PMID: 26421473 DOI: 10.1016/j.acra.2015.08.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 08/27/2015] [Accepted: 08/31/2015] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES The preoperative assessment of tumor grade has important clinical implications for the treatment and prognosis of patients with colorectal adenocarcinomas. The purpose of this study is to investigate the predictive significance of colorectal adenocarcinoma grade using 256-slice whole-tumor computed tomography (CT) perfusion. MATERIALS AND METHODS Fifty-three patients with proven colorectal adenocarcinomas were enrolled. All of them underwent 256-slice whole-tumor CT perfusion. They were divided into two different subgroups according to postoperative pathological results: low grade and high grade. The Kruskal-Wallis test or one-way analysis of variance was used for comparison of CT perfusion parameters between different tumor grades. Multivariant correlation between pathologic tumor stage, histologic tumor differentiation, and whole-tumor CT perfusion parameters was evaluated by Spearman rank correlation coefficient. According to receiver operating characteristic (ROC) curves, perfusion parameters including blood flow (BF), peak enhancement index (PEI), blood volume (BV), and time to peak (TTP) of 53 patients were analyzed, and the sensitivity, specificity, and accuracy of these parameters in predicting tumor grade were calculated. RESULTS There were significant differences in BF and TTP between low-grade and high-grade tumors. According to the ROC curve, BF and TTP were of diagnostic significance, with the area under the curve values of 0.828 and 0.736, respectively. The diagnostic threshold of BF was 32.12 mL/min/100 g and that of TTP was 18.10 seconds. CONCLUSIONS The CT perfusion parameters (BF, TTP) of first-pass 256-slice whole-tumor CT perfusion imaging can reflect tumor grade in colorectal adenocarcinoma.
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Mousa L, Salem ME, Mikhail S. Biomarkers of Angiogenesis in Colorectal Cancer. BIOMARKERS IN CANCER 2015; 7:13-9. [PMID: 26543385 PMCID: PMC4624093 DOI: 10.4137/bic.s25250] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 09/17/2015] [Accepted: 09/23/2015] [Indexed: 12/18/2022]
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide and accounts for 10% of all new cancer diagnoses. Angiogenesis is a tightly regulated process that is mediated by a group of angiogenic factors such as vascular endothelial growth factor and its receptors. Given the widespread use of antiangiogenic agents in CRC, there has been considerable interest in the development of methods to identify novel markers that can predict outcome in the treatment of this disease with angiogenesis inhibitors. Multiple biomarkers are in various phases of development and include tissue, serum, and imaging biomarkers. The complexity of the angiogenesis pathway and the overlap between the various angiogenic factors present a significant challenge to biomarker discovery. In our review, we discuss the angiogenesis pathway and the most promising evolving concepts in biomarker discovery, as well as highlight the landmark studies that identify subgroups of patients with CRC who may preferentially benefit from angiogenesis inhibitors.
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Affiliation(s)
- Luay Mousa
- The Medstar Ohio State University Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
| | - Mohamed E Salem
- Medstar Georgetown University Hospital, Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Sameh Mikhail
- The Medstar Ohio State University Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
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Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion. ACTA ACUST UNITED AC 2014; 40:1705-12. [DOI: 10.1007/s00261-014-0318-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Hayano K, Fujishiro T, Sahani DV, Satoh A, Aoyagi T, Ohira G, Tochigi T, Matsubara H, Shuto K. Computed tomography perfusion imaging as a potential imaging biomarker of colorectal cancer. World J Gastroenterol 2014; 20:17345-17351. [PMID: 25516645 PMCID: PMC4265592 DOI: 10.3748/wjg.v20.i46.17345] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Revised: 04/01/2014] [Accepted: 07/22/2014] [Indexed: 02/06/2023] Open
Abstract
Neovascularization was reported to arise early in the adenoma-carcinoma sequence in colorectal cancer (CRC), and the importance of angiogenesis in cancer progression has been established. Computed tomography (CT) perfusion (CTP) based on high temporal resolution CT images enables evaluation of hemodynamics of tissue in vivo by modeling tracer kinetics. CTP has been reported to characterize tumor angiogenesis, and to be a sensitive marker for predicting recurrence or survival in CRC. In this review, we will discuss the biomarker value of CTP in the management of CRC patients.
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Computed tomographic perfusion imaging for the prediction of response and survival to transarterial radioembolization of liver metastases. Invest Radiol 2014; 48:787-94. [PMID: 23748229 DOI: 10.1097/rli.0b013e31829810f7] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
PURPOSE The purpose of this study was to evaluate prospectively, in patients with liver metastases, the ability of computed tomographic (CT) perfusion to predict the morphologic response and survival after transarterial radioembolization (TARE). METHODS Thirty-eight patients (22 men; mean [SD] age, 63 [12] years) with otherwise therapy-refractory liver metastases underwent dynamic, contrast-enhanced CT perfusion within 1 hour before treatment planning catheter angiography, for calculation of the arterial perfusion (AP) of liver metastases, 20 days before TARE with Yttrium-90 microspheres. Treatment response was evaluated morphologically on follow-up imaging (mean, 114 days) on the basis of the Response Evaluation Criteria in Solid Tumors criteria (version 1.1). Pretreatment CT perfusion was compared between responders and nonresponders. One-year survival was calculated including all 38 patients using the Kaplan-Meier curves; the Cox proportional hazard model was used for calculating predictors of survival. RESULTS Follow-up imaging was not available in 11 patients because of rapidly deteriorating health or death. From the remaining 27, a total of 9 patients (33%) were classified as responders and 18 patients (67%) were classified as nonresponders. A significant difference in AP was found on pretreatment CT perfusion between the responders and the nonresponders to the TARE (P < 0.001). Change in tumor size on the follow-up imaging correlated significantly and negatively with AP before the TARE (r = -0.60; P = 0.001). Receiver operating characteristics analysis of AP in relation to treatment response revealed an area under the curve of 0.969 (95% confidence interval, 0.911-1.000; P < 0.001). A cutoff AP of 16 mL per 100 mL/min was associated with a sensitivity of 100% (9/9) (95% CI, 70%-100%) and a specificity of 89% (16/18) (95% CI, 62%-96%) for predicting therapy response. A significantly higher 1-year survival after the TARE was found in the patients with a pretreatment AP of 16 mL per 100 mL/min or greater (P = 0.028), being a significant, independent predictor of survival (hazard ratio, 0.101; P = 0.015). CONCLUSIONS Arterial perfusion of liver metastases, as determined by pretreatment CT perfusion imaging, enables prediction of short-term morphologic response and 1-year survival to TARE.
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Guo M, Yu Y. Application of 128 Slice 4D CT Whole Liver Perfusion Imaging in Hepatic Tumor. Cell Biochem Biophys 2014; 70:173-8. [DOI: 10.1007/s12013-014-9877-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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Goh V, Glynne-Jones R. Perfusion CT imaging of colorectal cancer. Br J Radiol 2014; 87:20130811. [PMID: 24434157 PMCID: PMC4064549 DOI: 10.1259/bjr.20130811] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2013] [Revised: 12/17/2013] [Accepted: 12/20/2013] [Indexed: 12/16/2022] Open
Abstract
Imaging plays an important role in the assessment of colorectal cancer, including diagnosis, staging, selection of treatment, assessment of treatment response, surveillance and investigation of suspected disease relapse. Anatomical imaging remains the mainstay for size measurement and structural evaluation; however, functional imaging techniques may provide additional insights into the tumour microenvironment. With dynamic contrast-enhanced CT techniques, iodinated contrast agent kinetics may inform on regional tumour perfusion, shunting and microvascular function and provide a surrogate measure of tumour hypoxia and angiogenesis. In colorectal cancer, this may be relevant for clinical practice in terms of tumour phenotyping, prognostication, selection of individualized treatment and therapy response assessment.
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Affiliation(s)
- V Goh
- Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
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Huellner MW, Collen TD, Gut P, Winterhalder R, Pauli C, Diebold J, Seifert B, Strobel K, Veit-Haibach P. Multiparametric PET/CT-perfusion does not add significant additional information for initial staging in lung cancer compared with standard PET/CT. EJNMMI Res 2014; 4:6. [PMID: 24450990 PMCID: PMC3901766 DOI: 10.1186/2191-219x-4-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 01/17/2014] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The purpose of this study was to assess the relationship of CT-perfusion (CTP), 18F-FDG-PET/CT and histological parameters, and the possible added value of CTP to FDG-PET/CT in the initial staging of lung cancer. METHODS Fifty-four consecutive patients (median age 65 years, 15 females, 39 males) with suspected lung cancer were evaluated prospectively by CT-perfusion scan and 18F-FDG-PET/CT scan. Overall, 46 tumors were identified. CTP parameters blood flow (BF), blood volume (BV), and mean transit time (MTT) of the tumor tissue were calculated. Intratumoral microvessel density (MVD) was assessed quantitatively. Differences in CTP parameters concerning tumor type, location, PET positivity of lymph nodes, TNM status, and UICC stage were analyzed. Spearman correlation analyses between CTP and 18F-FDG-PET/CT parameters (SUVmax, SUVmean, PETvol, and TLG), MVD, tumor size, and tumor stage were performed. RESULTS The mean BF (mL/100 mL min-1), BV (mL/100 mL), and MTT (s) was 35.5, 8.4, and 14.2, respectively. The BF and BV were lower in tumors with PET-positive lymph nodes (p = 0.02). However, the CTP values were not significantly different among the N stages. The CTP values were not different, depending on tumor size and location. No significant correlation was found between CTP parameters and MVD. CONCLUSIONS Overall, the CTP information showed only little additional information for the initial staging compared with standard FDG-PET/CT. Low perfusion in lung tumors might possibly be associated with metabolically active regional lymph nodes. Apart from that, both CTP and 18F-FDG-PET/CT parameter sets may reflect different pathophysiological mechanisms in lung cancer.
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Affiliation(s)
- Martin W Huellner
- Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Spitalstrasse 1, Lucerne CH-6004, Switzerland.
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Tumor blood flow change measured by CT perfusion during chemoradiation therapy (CRT) for monitoring response and predicting survival in patients with esophageal cancer. Esophagus 2013. [DOI: 10.1007/s10388-013-0400-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
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Betz M, Kopp HG, Spira D, Claussen CD, Horger M. The benefit of using CT-perfusion imaging for reliable response monitoring in patients with gastrointestinal stromal tumor (GIST) undergoing treatment with novel targeted agents. Acta Radiol 2013; 54:711-21. [PMID: 23761542 DOI: 10.1177/0284185113484642] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Solely size-based response criteria may be unreliable in patients with gastrointestinal stromal tumors (GIST) treated with tyrosine kinase inhibitors, because they typically underestimate responses to treatment. As GISTs are generally hypervascularized and novel targeted drugs knowingly affect angiogenic signaling pathways, perfusion measurements are expected to deliver important information about their efficacy. This pictorial essay illustrates the benefit of using complementary CT-perfusion-based measurements for more accurate evaluation of response to therapy in GIST.
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Affiliation(s)
- Martina Betz
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Tübingen
| | - Hans Georg Kopp
- Department of Oncology, Hematology, Rheumatology, Immunolgy, Pulmology, Eberhard-Karls-University, Tübingen, Germany
| | - Daniel Spira
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Tübingen
| | - Claus D Claussen
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Tübingen
| | - Marius Horger
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Tübingen
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Computed Tomography (CT) Perfusion in Abdominal Cancer: Technical Aspects. Diagnostics (Basel) 2013; 3:261-70. [PMID: 26835679 PMCID: PMC4665537 DOI: 10.3390/diagnostics3020261] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Revised: 03/21/2013] [Accepted: 03/25/2013] [Indexed: 12/22/2022] Open
Abstract
Computed Tomography (CT) Perfusion is an evolving method to visualize perfusion in organs and tissue. With the introduction of multidetector CT scanners, it is now possible to cover up to 16 cm in one rotation, and thereby making it possible to scan entire organs such as the liver with a fixed table position. Advances in reconstruction algorithms make it possible to reduce the radiation dose for each examination to acceptable levels. Regarding abdominal imaging, CT perfusion is still considered a research tool, but several studies have proven it as a reliable non-invasive technique for assessment of vascularity. CT perfusion has also been used for tumor characterization, staging of disease, response evaluation of newer drugs targeted towards angiogenesis and as a method for early detection of recurrence after radiation and embolization. There are several software solutions available on the market today based on different perfusion algorithms. However, there is no consensus on which protocol and algorithm to use for specific organs. In this article, the authors give an introduction to CT perfusion in abdominal imaging introducing technical aspects for calculation of perfusion parameters, and considerations on patient preparation. This article also contains clinical cases to illustrate the use of CT perfusion in abdominal imaging.
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Daly SM, Leahy MJ. 'Go with the flow ': a review of methods and advancements in blood flow imaging. JOURNAL OF BIOPHOTONICS 2013; 6:217-55. [PMID: 22711377 DOI: 10.1002/jbio.201200071] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Revised: 05/22/2012] [Accepted: 05/23/2012] [Indexed: 05/25/2023]
Abstract
Physics has delivered extraordinary developments in almost every facet of modern life. From the humble thermometer and stethoscope to X-Ray, CT, MRI, ultrasound, PET and radiotherapy, our health has been transformed by these advances yielding both morphological and functional metrics. Recently high resolution label-free imaging of the microcirculation at clinically relevant depths has become available in the research domain. In this paper, we present a comprehensive review on current imaging techniques, state-of-the-art advancements and applications, and general perspectives on the prospects for these modalities in the clinical realm.
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Affiliation(s)
- Susan M Daly
- Biophotonics Research Facility, Department of Physics & Energy, University of Limerick, Ireland.
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Koh TS, Ng QS, Thng CH, Kwek JW, Kozarski R, Goh V. Primary colorectal cancer: use of kinetic modeling of dynamic contrast-enhanced CT data to predict clinical outcome. Radiology 2013; 267:145-54. [PMID: 23297334 DOI: 10.1148/radiol.12120186] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE To compare four different tracer kinetic models for the analysis of dynamic contrast material-enhanced computed tomographic (CT) data with respect to the prediction of 5-year overall survival in primary colorectal cancer. MATERIALS AND METHODS This study was approved by the ethical review board. Archival dynamic contrast-enhanced CT data from 46 patients with colorectal cancer, obtained as part of a research study, were analyzed retrospectively by using the distributed parameter, conventional compartmental, adiabatic tissue homogeneity, and generalized kinetic models. Blood flow, blood volume, mean transit time (MTT), permeability-surface area product, extraction fraction, extravascular extracellular volume (v(e)), and volume transfer constant (K(trans)) were compared by using the Friedman test, with statistical significance at 5%. Following receiver operating characteristic analysis, parameters of the different kinetic models and tumor stage were compared with respect to overall survival discrimination, with use of Kaplan Meier analysis and a univariate Cox proportional hazard model, with additional cross-validation and permutation testing. RESULTS Blood flow was lower with the distributed parameter model than with the conventional compartmental and adiabatic tissue homogeneity models (P < .0001), and blood flow values determined with the conventional compartmental and adiabatic tissue homogeneity models were similar. Conversely, MTT was longer with the distributed parameter model than with the conventional compartmental and adiabatic tissue homogeneity models (P < .0001). Blood volume, permeability-surface area product, and v(e) were higher with the conventional compartmental model than with the adiabatic tissue homogeneity, distributed parameter, or generalized kinetic models (P < .0001). The extraction fraction was higher with the distributed parameter model than with the adiabatic tissue homogeneity model. With respect to 5-year overall survival, only the distributed parameter model-derived v(e) was predictive of 5-year overall survival with a threshold value of 15.48 mL/100 mL after cross-validation and permutation testing. CONCLUSION Parameter values differ significantly between models. Of the models investigated, the distributed parameter model was the best predictor of 5-year overall survival. SUPPLEMENTAL MATERIAL http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12120186/-/DC1.
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Affiliation(s)
- Tong San Koh
- Department of Oncologic Imaging, National Cancer Centre Singapore, Singapore
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Ng F, Ganeshan B, Kozarski R, Miles KA, Goh V. Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival. Radiology 2012; 266:177-84. [PMID: 23151829 DOI: 10.1148/radiol.12120254] [Citation(s) in RCA: 333] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE To determine if computed tomographic (CT) texture features of primary colorectal cancer are related to 5-year overall survival rate. MATERIALS AND METHODS Institutional review board waiver was obtained for this retrospective analysis. Texture features of the entire primary tumor were assessed with contrast material-enhanced staging CT studies obtained in 57 patients as part of an ethically approved study and by using proprietary software. Entropy, uniformity, kurtosis, skewness, and standard deviation of the pixel distribution histogram were derived from CT images without filtration and with filter values corresponding to fine (1.0), medium (1.5, 2.0), and coarse (2.5) textures. Patients were followed up until death and were censored at 5 years if they were still alive. Kaplan-Meier analysis was performed to determine the relationship, if any, between CT texture and 5-year overall survival rate. The Cox proportional hazards model was used to assess independence of texture parameters from stage. RESULTS Follow-up data were available for 55 of 57 patients. There were eight stage I, 19 stage II, 17 stage III, and 11 stage IV cancers. Fine-texture feature Kaplan-Meier survival plots for entropy, uniformity, kurtosis, skewness, and standard deviation of the pixel distribution histogram were significantly different for tumors above and below each respective threshold receiver operating characteristic (ROC) curve optimal cutoff value (P = .001, P = .018, P = .032, P = .008, and P = .001, respectively), with poorer prognosis for ROC optimal values (a) less than 7.89 for entropy, (b) at least 0.01 for uniformity, (c) less than 2.48 for kurtosis, (d) at least -0.38 for skewness, and (e) less than 61.83 for standard deviation. Multivariate Cox proportional hazards regression analysis showed that each parameter was independent from the stage predictor of overall survival rate (P = .001, P = .009, P = .006, P = .02, and P = .001, respectively). CONCLUSION Fine-texture features are associated with poorer 5-year overall survival rate in patients with primary colorectal cancer. SUPPLEMENTAL MATERIAL http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12120254/-/DC1.
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Affiliation(s)
- Francesca Ng
- Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England
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Abstract
Angiogenesis is an integral part of tumor growth and invasion. This has led to the emergence of several antiangiogenic therapies and stimulated efforts to accurately evaluate the extent of angiogenesis before and in response to anticancer treatment. The most commonly used approach has been the assessment of new vessel formation in histological samples. However, it is becoming apparent that this is insufficient for a full understanding of tumor physiology and for in vivo guidance of cancer management. Imaging has the potential to provide noninvasive and repeatable assessment of the angiogenic process. Imaging approaches use a variety of modalities and are aimed at either assessment of the functional integrity of tumor vasculature or assessment of its molecular status. This review summarizes the aims and methods of clinical tumor angiogenesis imaging, including present technologies and ones that will be developed within the next 5-10 years.
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Affiliation(s)
- Neel Patel
- Department of Radiology, Churchill Hospital, Old Road, Headington, Oxford OX3 7LE, UK.
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Song T, Shen YG, Jiao NN, Li XH, Hu HT, Qu JR, Chen XJ, Feng W, Zhang X, Li HL. Esophageal squamous cell carcinoma: assessing tumor angiogenesis using multi-slice CT perfusion imaging. Dig Dis Sci 2012; 57:2195-202. [PMID: 22476585 DOI: 10.1007/s10620-012-2149-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2011] [Accepted: 03/16/2012] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the correlation between multi-slice computed tomographic perfusion imaging (CTPI) parameters and immunohistologic markers of angiogenesis in esophageal squamous cell carcinoma (ESCC). METHODS Fifty patients with histologically proven esophageal squamous cell carcinoma were enrolled in this study. All subjects underwent multi-slice CT perfusion scan. The hemodynamic parameters of vascular tumor, including blood volume (BV), blood flow (BF), mean transit time (MTT) and permeability surface (PS) were generated. All the ESCC specimens were stained immunohistochemically to identify CD31 for quantification of microvessel density (MVD). CTPI parameters were correlated with MVD by using Pearson correlation analysis. RESULTS The value of CT perfusion parameters of ESCC were as follows: BF 116.71 ± 47.59 ml/100 g/min, BV 6.74 ± 2.70 ml/100 g, MTT 6.42 ± 2.84 s, PS 13.82 ± 6.25 ml/100 g/min. The mean MVD of all 50 tumor specimens was 34.44 ± 19.75. The PS values were significantly higher in ESCC patients with involvement of lymph node than those without involvement of lymph node (p < 0.01). Blood volume and permeability surface were positively correlated with MVD (p < 0.01), whereas no significant correlation was observed between MVD and BF or between MVD and MTT. CONCLUSIONS Blood volume and permeability surface were positively correlated with MVD. CTPI could reflect the angiogenesis in ESCC.
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Affiliation(s)
- Tao Song
- Department of Radiology, Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450000 Henan, People's Republic of China.
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Reiner CS, Goetti R, Burger IA, Fischer MA, Frauenfelder T, Knuth A, Pfammatter T, Schaefer N, Alkadhi H. Liver perfusion imaging in patients with primary and metastatic liver malignancy: prospective comparison between 99mTc-MAA spect and dynamic CT perfusion. Acad Radiol 2012; 19:613-21. [PMID: 22285400 DOI: 10.1016/j.acra.2011.12.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2011] [Revised: 12/23/2011] [Accepted: 12/29/2011] [Indexed: 12/28/2022]
Abstract
RATIONALE AND OBJECTIVES To prospectively analyze the correlation between parameters of liver perfusion from technetium99m-macroaggregates of albumin (99mTc-MAA) single photon emission computed tomography (SPECT) with those obtained from dynamic CT perfusion in patients with primary or metastatic liver malignancy. MATERIALS AND METHODS Twenty-five consecutive patients (11 women, 14 men; mean age 60.9 ± 10.8; range: 32-78 years) with primary (n = 5) or metastatic (n = 20) liver malignancy planned to undergo selective internal radiotherapy underwent dynamic contrast-enhanced CT liver perfusion imaging (four-dimensional spiral mode, scan range 14.8 cm, 15 scans, cycle time 3 seconds) and 99m)Tc-MAA SPECT after intraarterial injection of 180 MBq 99mTc-MAA on the same day. Data were evaluated by two blinded and independent readers for the parameters arterial liver perfusion (ALP), portal venous perfusion (PVP), and total liver perfusion (TLP) from CT, and the 99mTc-MAA uptake-ratio of tumors in relation to normal liver parenchyma from SPECT. RESULTS Interreader agreements for quantitative perfusion parameters were high for dynamic CT (r = 0.90-0.98, each P < .01) and 99mTc -MAA SPECT (r = 0.91, P < .01). Significant correlation was found between 99mTc-MAA uptake ratio and ALP (r = 0.7, P < .01) in liver tumors. No significant correlation was found between 99mTc-MAA uptake ratio, PVP (r = -0.381, P = .081), and TLP (r = 0.039, P = .862). CONCLUSION This study indicates that in patients with primary and metastatic liver malignancy, ALP obtained by dynamic CT liver perfusion significantly correlates with the 99mTc-MAA uptake ratio obtained by SPECT.
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Affiliation(s)
- Caecilia S Reiner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistr. 100, CH-8091 Zurich, Switzerland
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Computed tomography perfusion imaging for therapeutic assessment: has it come of age as a biomarker in oncology? Invest Radiol 2012; 47:2-4. [PMID: 21808202 DOI: 10.1097/rli.0b013e318229ff3e] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
With the emergence of novel targeted therapies, imaging techniques that assess tumor vascular support have gained credence for response assessment alongside standard response criteria. Computed tomography (CT) perfusion techniques that quantify regional tumor blood flow, blood volume, flow-extraction product, and permeability-surface area product through standard kinetic models are attractive, but the level of evidence for CT perfusion to be a truly mature biomarker remains insufficient. Studies to date have not been powered to assess this. Future studies that include good quality prospective validation correlating perfusion CT to outcome end points in the trial setting are needed to take CT perfusion forward as a biomarker in oncology.
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Li SP, Makris A, Gogbashian A, Simcock IC, Stirling JJ, Goh V. Predicting response to neoadjuvant chemotherapy in primary breast cancer using volumetric helical perfusion computed tomography: a preliminary study. Eur Radiol 2012; 22:1871-80. [DOI: 10.1007/s00330-012-2433-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2011] [Revised: 01/24/2012] [Accepted: 02/22/2012] [Indexed: 10/28/2022]
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Curvo-Semedo L, Portilha MA, Ruivo C, Borrego M, Leite JS, Caseiro-Alves F. Usefulness of perfusion CT to assess response to neoadjuvant combined chemoradiotherapy in patients with locally advanced rectal cancer. Acad Radiol 2012; 19:203-13. [PMID: 22130088 DOI: 10.1016/j.acra.2011.10.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Revised: 10/11/2011] [Accepted: 10/12/2011] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVES To prospectively evaluate perfusion computed tomography (CT) for assessment of changes in tumor vascularity after chemoradiation therapy (CRT) in locally advanced rectal cancer and to analyze the correlation between baseline perfusion parameters and tumor response. MATERIALS AND METHODS Twenty patients with rectal cancer underwent baseline perfusion CT before CRT, and in 11 an examination after CRT was also performed. For each tumor, blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability-surface area product (PS) were quantified. The Mann-Whitney U test compared baseline perfusion parameters of responders and nonresponders and pre- and post-CRT measurements were compared by the Wilcoxon signed-rank test (P < .05 statistically significant for both tests). RESULTS Baseline BF was significantly lower (P = .013) and MTT was significantly higher (P = .006) in responders. Both were able to discriminate responders from nonresponders with a sensitivity of 80% and 100% and a specificity of 73.3% and 86.7%, respectively, for BF and MTT. Baseline BV and PS were not significantly different in responders and nonresponders. Perfusion parameters changed significantly in post-CRT scans compared to baseline: BF (P = .003), BV (P = .003), and PS (P = .008) decreased, whereas MTT increased (P = .006). CONCLUSION Baseline BF and MTT can discriminate patients with a favorable response from those that fail to respond to CRT, potentially selecting high-risk patients with resistant tumors that may benefit from an aggressive preoperative treatment approach.
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García Figueiras R, Caro Domínguez P, García Dorrego R, Vázquez Martín A, Gómez Caamaño A. Prognostic factors and functional imaging in rectal cancer. RADIOLOGIA 2012. [DOI: 10.1016/j.rxeng.2012.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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García Figueiras R, Caro Domínguez P, García Dorrego R, Vázquez Martín A, Gómez Caamaño A. [Prognostic factors and functional imaging in rectal cancer]. RADIOLOGIA 2011; 54:45-58. [PMID: 22001553 DOI: 10.1016/j.rx.2011.05.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2011] [Revised: 03/25/2011] [Accepted: 05/04/2011] [Indexed: 02/08/2023]
Abstract
The outcome of treatment for rectal cancer in recent years has been improved by diverse advances in the field of surgery and in neoadjuvant oncologic therapies. Heald's introduction of the concept of the mesorectum as an anatomical unit (total mesorectal excision) in 1982 and the generalization of preoperative radiochemotherapy have improved the prognosis in a significant number of patients. Owing to these advances, it has become necessary for imaging studies to define a series of prognostic factors for tumors, both before and after neoadjuvant treatment, to make it possible to tailor treatment for individual patients with rectal tumors. On the other hand, the advent of functional and molecular imaging techniques has provided a way to study a series of distinctive tumor characteristics in vivo, including the angiogenesis, metabolism, or cellularity of rectal tumors, and these techniques are making a growing contribution to the prognosis, staging, treatment planning, and evaluation of the response to therapy in patients with rectal cancer.
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Affiliation(s)
- R García Figueiras
- Servicio de Radiodiagnóstico, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España.
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Glynne-Jones R. UK fifth National Colorectal Cancer Consensus Meeting 2010. Clin Oncol (R Coll Radiol) 2011; 24:64-7. [PMID: 21843927 DOI: 10.1016/j.clon.2011.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2011] [Accepted: 06/14/2011] [Indexed: 01/10/2023]
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González Hernando C, Esteban L, Cañas T, Van den Brule E, Pastrana M. The role of magnetic resonance imaging in oncology. Clin Transl Oncol 2011; 12:606-13. [PMID: 20851801 DOI: 10.1007/s12094-010-0565-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Conventional diagnostic magnetic resonance imaging (MRI) techniques have focused on improving the spatial resolution and image acquisition speed (whole-body MRI) or on new contrast agents. Most advances in MRI go beyond morphologic study to obtain functional and structural information in vivo about different physiological processes of tumor microenvironment, such as oxygenation levels, cellular proliferation, or tumor vascularization through MRI analysis of some characteristics: angiogenesis (perfusion MRI), metabolism (MRI spectroscopy), cellularity (diffusion-weighted MRI), lymph node function, or hypoxia [blood-oxygen-level-dependent (BOLD) MRI]. We discuss the contributions of different MRI techniques than must be integrated in oncologic patients to substantially advance tumor detection and characterization risk stratification, prognosis, predicting and monitoring response to treatment, and development of new drugs.
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Miles KA. Molecular imaging with dynamic contrast-enhanced computed tomography. Clin Radiol 2010; 65:549-56. [PMID: 20541654 DOI: 10.1016/j.crad.2010.04.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2009] [Revised: 04/15/2010] [Accepted: 04/22/2010] [Indexed: 01/10/2023]
Abstract
Dynamic contrast-enhanced computed tomography (DCE-CT) is a quantitative technique that employs rapid sequences of CT images after bolus administration of intravenous contrast material to measure a range of physiological processes related to the microvasculature of tissues. By combining knowledge of the molecular processes underlying changes in vascular physiology with an understanding of the relationship between vascular physiology and CT contrast enhancement, DCE-CT can be redefined as a molecular imaging technique. Some DCE-CT derived parameters reflect tissue hypoxia and can, therefore, provide information about the cellular microenvironment. DCE-CT can also depict physiological processes, such as vasodilatation, that represent the physiological consequences of molecular responses to tissue hypoxia. To date the main applications have been in stroke and oncology. Unlike some other molecular imaging approaches, DCE-CT benefits from wide availability and ease of application along with the use of contrast materials and software packages that have achieved full regulatory approval. Hence, DCE-CT represents a molecular imaging technique that is applicable in clinical practice today.
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Affiliation(s)
- K A Miles
- Clinical Imaging Sciences Centre, Brighton & Sussex Medical School, University of Sussex, Falmer, Brighton, UK.
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Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer. Eur Radiol 2010; 21:744-9. [DOI: 10.1007/s00330-010-1967-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2010] [Revised: 08/12/2010] [Accepted: 08/17/2010] [Indexed: 10/19/2022]
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64-row MDCT perfusion of head and neck squamous cell carcinoma: technical feasibility and quantitative analysis of perfusion parameters. Eur Radiol 2010; 21:113-21. [DOI: 10.1007/s00330-010-1898-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2010] [Revised: 06/06/2010] [Accepted: 07/02/2010] [Indexed: 10/19/2022]
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Kierkels RG, Backes WH, Janssen MH, Buijsen J, Beets-Tan RG, Lambin P, Lammering G, Oellers MC, Aerts HJ. Comparison Between Perfusion Computed Tomography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Rectal Cancer. Int J Radiat Oncol Biol Phys 2010; 77:400-8. [DOI: 10.1016/j.ijrobp.2009.05.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2009] [Revised: 05/19/2009] [Accepted: 05/19/2009] [Indexed: 11/24/2022]
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Yang C, Stadler WM, Karczmar GS, Milosevic M, Yeung I, Haider MA. Comparison of quantitative parameters in cervix cancer measured by dynamic contrast-enhanced MRI and CT. Magn Reson Med 2010; 63:1601-9. [PMID: 20512864 PMCID: PMC3089960 DOI: 10.1002/mrm.22371] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2009] [Accepted: 01/08/2010] [Indexed: 01/15/2023]
Abstract
Cervical tumors of 38 cervix cancer patients were scanned by T(1)-weighted dynamic contrast enhanced (DCE) MRI and then by DCE-CT on the same day. Gadodiamide and iohexol were respectively used as the low-molecular-weight contrast agent in DCE-MRI and DCE-CT. Under an extended Tofts model, DCE-MRI data were analyzed using either individual arterial input functions estimated by a multiple reference tissue method or a population arterial input function by Parker et al., whereas DCE-CT data were analyzed using the arterial input function directly measured from the external iliac arteries. The derived quantitative parameters of cervical tumors were compared between DCE-MRI and DCE-CT. When using the individual multiple reference tissue method arterial input functions to analyze the DCE-MRI data, the correlation coefficients between DCE-MRI- and DCE-CT-derived parameters were, respectively, back-flux rate constant (r = 0.80), extravascular extracellular fractional volume (r = 0.73), contrast agent transfer rate (r = 0.62), and blood plasma volume (r = 0.32); when using the Parker population arterial input function, the correlation coefficients were back-flux rate constant (r = 0.79), extravascular extracellular fractional volume (r = 0.77), contrast agent transfer rate (r = 0.63), and blood plasma volume (r = 0.58). Tumor parametric maps derived by DCE-MRI and DCE-CT had very similar morphologies. However, the means of most derived quantitative parameters were significantly different between the two imaging methods. Close correlation of quantitative parameters derived from two independent imaging modalities suggests both are measuring similar tumor physiologic variables.
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Affiliation(s)
- Cheng Yang
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois, USA
| | - Walter M. Stadler
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois, USA
| | | | - Michael Milosevic
- Radiation Medicine Program, University Health Network, and Princess Margaret Hospital, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Ivan Yeung
- Radiation Medicine Program, University Health Network, and Princess Margaret Hospital, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Masoom A. Haider
- Department of Medical Imaging, Princess Margaret Hospital, University Health Network and Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
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