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García-Figueiras R, Baleato-González S, Canedo-Antelo M, Alcalá L, Marhuenda A. Imaging Advances on CT and MRI in Colorectal Cancer. CURRENT COLORECTAL CANCER REPORTS 2021. [DOI: 10.1007/s11888-021-00468-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Serafini FL, Lanuti P, Delli Pizzi A, Procaccini L, Villani M, Taraschi AL, Pascucci L, Mincuzzi E, Izzi J, Chiacchiaretta P, Buca D, Catitti G, Bologna G, Simeone P, Pieragostino D, Caulo M. Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? BIOLOGY 2021; 10:biology10121265. [PMID: 34943180 PMCID: PMC8698452 DOI: 10.3390/biology10121265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 11/23/2022]
Abstract
Simple Summary Over the years, diagnostic tests such as in radiology and flow cytometry have become more and more powerful in the constant struggle against different pathologies, some of which are life-threatening. The possibility of using these “weapons” in a conjugated manner could result in higher healing and prevention rates, and a decrease in late diagnosis diseases. Different correlations among pathologies, extracellular vesicles (EVs), and radiological findings were recently demonstrated by many authors. Together with the increasing importance of “omics” sciences, and artificial intelligence in this new century, the perspective of a new research field called “radiovesicolomics” could be the missing link, enabling a different approach to disease diagnosis and treatment. Abstract Currently, several pathologies have corresponding and specific diagnostic and therapeutic branches of interest focused on early and correct detection, as well as the best therapeutic approach. Radiology never ceases to develop newer technologies in order to give patients a clear, safe, early, and precise diagnosis; furthermore, in the last few years diagnostic imaging panoramas have been extended to the field of artificial intelligence (AI) and machine learning. On the other hand, clinical and laboratory tests, like flow cytometry and the techniques found in the “omics” sciences, aim to detect microscopic elements, like extracellular vesicles, with the highest specificity and sensibility for disease detection. If these scientific branches started to cooperate, playing a conjugated role in pathology diagnosis, what could be the results? Our review seeks to give a quick overview of recent state of the art research which investigates correlations between extracellular vesicles and the known radiological features useful for diagnosis.
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Affiliation(s)
- Francesco Lorenzo Serafini
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Paola Lanuti
- Department of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (P.L.); (D.B.); (G.C.); (G.B.); (P.S.)
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Andrea Delli Pizzi
- Institute of Advanced Biomedical Technologies (ITAB), University “G. d’Annunzio”, 66100 Chieti, Italy
- Department of Innovative Technologies in Medicine & Dentistry, University “G. d’Annunzio”, 66100 Chieti, Italy
- Correspondence:
| | - Luca Procaccini
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Michela Villani
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Alessio Lino Taraschi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Luca Pascucci
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Erica Mincuzzi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Jacopo Izzi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
| | - Piero Chiacchiaretta
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
- Institute of Advanced Biomedical Technologies (ITAB), University “G. d’Annunzio”, 66100 Chieti, Italy
| | - Davide Buca
- Department of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (P.L.); (D.B.); (G.C.); (G.B.); (P.S.)
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Giulia Catitti
- Department of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (P.L.); (D.B.); (G.C.); (G.B.); (P.S.)
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Giuseppina Bologna
- Department of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (P.L.); (D.B.); (G.C.); (G.B.); (P.S.)
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Pasquale Simeone
- Department of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (P.L.); (D.B.); (G.C.); (G.B.); (P.S.)
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Damiana Pieragostino
- Center for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, Italy;
- Department of Innovative Technologies in Medicine & Dentistry, University “G. d’Annunzio”, 66100 Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy; (F.L.S.); (L.P.); (M.V.); (A.L.T.); (L.P.); (E.M.); (J.I.); (P.C.); (M.C.)
- Institute of Advanced Biomedical Technologies (ITAB), University “G. d’Annunzio”, 66100 Chieti, Italy
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Ramanan RV, Munikrishnan V, Venkataramanan A, Swain SK, Sunilkumar KS, Venu V, Hariharan M, Saipillai MZ, Ahamed A. Accuracy of High Resolution Multidetector Computed Tomography in the Local Staging of Rectal Cancer. JOURNAL OF GASTROINTESTINAL AND ABDOMINAL RADIOLOGY 2021. [DOI: 10.1055/s-0041-1726662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Abstract
Background Magnetic resonance imaging (MRI) is the gold standard for local staging of rectal cancer. Advanced computed tomography (CT) machines are now capable of high-resolution images of rectal cancer and utilized for CT perfusion. The possibility of local staging of rectal cancer by CT needs to be explored.
Purpose The aim of the study is to evaluate accuracy of high-resolution CT for local rectal cancer staging.
Methods A high-resolution CT was performed for local staging of rectal cancer in our study group of 93 patients, where 64 underwent primary surgery and 29 underwent surgery post neoadjuvant chemoradiotherapy (NACRT).
Results In differentiating stages T2-and-less than T2 from T3–T4 rectal cancer, accuracy, sensitivity, specificity, and kappa score in overall patients were 91%, 87%, 94%, and 0.8; in primary surgery group were 89%, 76%, 94%, and 0.7; in NACRT group were 97%, 100%, 94%, and 0.9; in low rectal group were 94%, 89%, 97%, and 0.82, respectively.
Conclusion High resolution CT is an accurate tool for local staging of rectal cancer.
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Affiliation(s)
| | | | | | | | | | - Vadanika Venu
- Department of Radiology, Apollo Hospitals, Chennai, Tamil Nadu, India
| | - Muthuswamy Hariharan
- Department of Medical Gastroenterology, Apollo Hospitals, Chennai, Tamil Nadu, India
| | | | - Asfar Ahamed
- Department of Colorectal Surgery, Apollo Hospitals, Chennai, Tamil Nadu, India
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Cahill RA, O'Shea DF, Khan MF, Khokhar HA, Epperlein JP, Mac Aonghusa PG, Nair R, Zhuk SM. Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification. Br J Surg 2021; 108:5-9. [PMID: 33640921 DOI: 10.1093/bjs/znaa004] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 06/12/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022]
Abstract
A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development.A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development. A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development.
Shows promise
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Affiliation(s)
- R A Cahill
- UCD Centre for Precision Surgery, School of Medicine, University College Dublin, Dublin, Ireland.,Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland
| | - D F O'Shea
- Department of Chemistry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M F Khan
- UCD Centre for Precision Surgery, School of Medicine, University College Dublin, Dublin, Ireland.,Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland
| | - H A Khokhar
- Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland
| | | | | | - R Nair
- IBM Research Europe, Dublin, Ireland
| | - S M Zhuk
- IBM Research Europe, Dublin, Ireland
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Foley KG, Pearson B, Riddell Z, Taylor SA. Opportunities in cancer imaging: a review of oesophageal, gastric and colorectal malignancies. Clin Radiol 2021; 76:748-762. [PMID: 33579518 DOI: 10.1016/j.crad.2021.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/13/2021] [Indexed: 02/07/2023]
Abstract
The incidence of gastrointestinal (GI) malignancy is increasing worldwide. In particular, there is a concerning rise in incidence of GI cancer in younger adults. Direct endoscopic visualisation of luminal tumour sites requires invasive procedures, which are associated with certain risks, but remain necessary because of limitations in current imaging techniques and the continuing need to obtain tissue for diagnosis and genetic analysis; however, management of GI cancer is increasingly reliant on non-invasive, radiological imaging to diagnose, stage, and treat these malignancies. Oesophageal, gastric, and colorectal malignancies require specialist investigation and treatment due to the complex nature of the anatomy, biology, and subsequent treatment strategies. As cancer imaging techniques develop, many opportunities to improve tumour detection, diagnostic accuracy and treatment monitoring present themselves. This review article aims to report current imaging practice, advances in various radiological modalities in relation to GI luminal tumour sites and describes opportunities for GI radiologists to improve patient outcomes.
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Affiliation(s)
- K G Foley
- Department of Clinical Radiology, Royal Glamorgan Hospital, Llantrisant, UK.
| | - B Pearson
- National Imaging Academy Wales (NIAW), Pencoed, UK
| | - Z Riddell
- National Imaging Academy Wales (NIAW), Pencoed, UK
| | - S A Taylor
- Centre for Medical Imaging, UCL, London, UK
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Sauter AP, Kössinger A, Beck S, Deniffel D, Dapper H, Combs SE, Rummeny EJ, Pfeiffer D. Dual-energy CT parameters in correlation to MRI-based apparent diffusion coefficient: evaluation in rectal cancer after radiochemotherapy. Acta Radiol Open 2020; 9:2058460120945316. [PMID: 32995044 PMCID: PMC7503032 DOI: 10.1177/2058460120945316] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/03/2020] [Indexed: 01/04/2023] Open
Abstract
Background Rectal cancer (RC) is a frequent malignancy for which magnetic resonance imaging (MRI) is the most common and accurate imaging. Iodine concentration (IC) can be quantified with spectral dual-layer computed tomography CT (DL-CT), which could improve imaging of RC, especially for evaluation of response to radiochemotherapy (RCT). Purpose To compare a DL-CT system to MRI as the non-invasive imaging gold standard for imaging of RC to evaluate the possibility of a response evaluation with DL-CT. Material and Methods Eleven patients who received DL-CT as well as MRI before and after RCT of RC were retrospectively included into this study. For each examination, a region of interest (ROI) was placed within the tumor. For MRI, the mean apparent diffusion coefficient (ADC) was assessed. For DL-CT, IC, z-effective, and Hounsfield Units (HU) were measured. IC, z-effective, and HU were normalized to the aorta. ADC was correlated to absolute and relative normalized IC, z-effective, and HU with Spearman’s ρ. Differences before and after treatment were tested with Wilcoxon signed-rank test. Results HU, IC, and Z-effective values in DL-CT images decreased significantly after RCT (P<0.01 for each comparison). The mean ADC increased significantly after RCT. Spearman’s ρ of the absolute IC difference and the absolute ADC (both before and after RCT) is high and significant (ρ = 0.73; P = 0.01), whereas the ρ-value for z-effective (ρ = 0.56) or HU (ρ = 0.45) to ADC was lower and non-significant. Conclusion Response evaluation of RC after RCT could be possible with DL-CT via the measurement of IC.
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Affiliation(s)
- Andreas P Sauter
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Antonia Kössinger
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Stefanie Beck
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Dominik Deniffel
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Hendrik Dapper
- Department of Radiation Oncology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.,Department of Radiation Sciences (DRS), Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Neuherberg, Germany.,Deutsches Konsortium für Translationale Krebsforschung (dktk), Partner Site Munich, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.,Department of Radiation Sciences (DRS), Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Neuherberg, Germany.,Deutsches Konsortium für Translationale Krebsforschung (dktk), Partner Site Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Daniela Pfeiffer
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
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sun Z, Hu S, Li J, Wang T, Xie Z, Jin L. An application study of CT perfusion imaging in assessing metastatic involvement of perigastric lymph nodes in patients with T1 gastric cancer. Br J Radiol 2020; 93:20190790. [PMID: 31778314 PMCID: PMC7055441 DOI: 10.1259/bjr.20190790] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 10/30/2019] [Accepted: 11/25/2019] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE To assess metastatic involvement of perigastric lymph nodes (PLNs) in patients with T1 gastric cancer by using CT perfusion imaging (CTPI). METHODS A total of 82 annotated PLNs of 33 patients with T1 gastric cancer confirmed by endoscopic ultrasonography underwent CTPI and portal phase CT scan before operation. The scan data were post-processed to acquire perfusion maps and calculate perfusion parameters including blood flow (BF) and permeability surface (PS). A radiologist measured the short axis diameters and perfusion parameters of PLNs. According to the post-operative pathology result, PLNs were divided into two groups: metastatic and inflammatory LNs. Perfusion parameters values and the size of PLNs between two groups were respectively compared statistically by t-test, and a receiver operating characteristic curve analysis was used to determine the optimal diagnostic cut-off value with sensitivity, specificity and area under the curve. RESULTS Examined 82 PLNs were metastatic in 45 (54.9%) and inflammatory in 37 (45.1%). The mean values of perfusion parameters and the short axis diameters in metastatic and inflammatory PLNs, respectively, were BF of 97.48 vs 81.21 ml/100 mg /min (p < 0.001), PS of 45.11 vs 36.80 ml/100 mg /min (p < 0.001), and the size of 1.51 cm vs 1.29 cm (p = 0.059). The sensitivity of 84.4%, specificity of 67.6% and area under the curve of 0.826 for BF with cut-off value of 88.89 ml/100 mg /min for differentiating metastatic from inflammatory nodes were higher than those of PS or the size of PLNs (p < 0.001). CONCLUSION CT perfusion parameters values were different between metastatic and inflammatory PLNs in T1 gastric cancer. BF value may be the most reliable diagnostic marker of metastatic PLNs, and it is helpful for clinicians to choose treatment modality or management plan in T1 gastric cancer patients. ADVANCES IN KNOWLEDGE CTPI gives information on vascularization of LNs.BF value might be a more effective marker than PS or the size of LNs for differentiating metastatic from inflammatory LNs in patients with T1 gastric cancer.
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Affiliation(s)
- zongqiong sun
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
| | - Shudong Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
| | - Jie Li
- Department of Intervention, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
| | - Teng Wang
- Department of Oncology, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
| | - Zhihui Xie
- Department of Surgical Gastroenterology, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
| | - Linfang Jin
- Department of Pathology, Affiliated Hospital of Jiangnan University, The Fourth People’s Hospital of Wuxi City, Jiangsu Province, 214062, China
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Sun Z, Li J, Wang T, Xie Z, Jin L, Hu S. Predicting perigastric lymph node metastasis in gastric cancer with CT perfusion imaging: A prospective analysis. Eur J Radiol 2020; 122:108753. [DOI: 10.1016/j.ejrad.2019.108753] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 10/21/2019] [Accepted: 11/14/2019] [Indexed: 02/07/2023]
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A prospective feasibility study evaluating the role of multimodality imaging and liquid biopsy for response assessment in locally advanced rectal carcinoma. Abdom Radiol (NY) 2019; 44:3641-3651. [PMID: 31327041 DOI: 10.1007/s00261-019-02135-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE Colorectal cancer is a commonly encountered disease that poses several diagnostic and therapeutic challenges. The inherent heterogeneity of tumor biology and propensity to relapse despite "curative" resection pose significant challenges with regard to response assessment. Although MR imaging already plays a key role in primary staging of patients with rectal carcinoma, its reliability in restaging after neoadjuvant therapy is debatable (Van der broek et al. in Dis Colon Rectum 60(3):274-283, 2017). Therefore, there is significant interest in developing additional methods which may improve diagnostic accuracy. This study aims to evaluate the role of multimodality imaging and liquid biopsy in therapeutic response assessment. METHODS Seventeen patients were enrolled into the study over a span of 24 months. All underwent hybrid PET-MRI and CT-perfusion (CT-P), prior to and following neoadjuvant therapy for locally advanced rectal carcinoma. Twelve of the 17 patients also underwent liquid biopsy, which consisted of blood sampling and analysis of circulating tumor cells (CTCs) and extracellular vesicles (EVs), including cell fragments and microparticles (MPs), using the Cell Search System (Menarini Silicon Biosystems). SUV, DWI, and ADC were calculated during PET-MRI, and several parameters were evaluated during CT-perfusion, including average perfusion, blood flow (BF), blood volume (BV), mean transit time (MTT), permeability-surface area product (PS), contrast extraction efficiency (E), and K-trans (K). Changes observed pre- and post-neoadjuvant therapy in each modality were compared to tumor response at histopathology using a modified Ryan tumor regression grading system. RESULTS Of the 17 patients included in the study, 14 were classified as non-responders, and 3 were classified as responders as determined by the modified Ryan Tumor Regression Grade (TRG) scoring system (Van der broek et al. in Dis Colon Rectum 60(3):274-283, 2017). When combined, blood markers and CT-P parameters (mean transit time (MTT), K-trans, and permeability-surface area product (PS)) produced the strongest models (p < 0.01). PET (SUV measurement) combined with CT-P-derived K-trans produced a marginally significant (p = 0.057) model for predicting response. MRI-derived ADC value did not provide a significant model for response prediction. CONCLUSION A model of CT-P parameters plus liquid biopsy more accurately predicts tumor response than PET-MRI, CT-P alone, or liquid biopsy alone. These results suggest that in the evaluation of treatment response, liquid biopsy could provide additional information to functional imaging modalities such as CT-P and should therefore be explored further in a trial with larger sample size.
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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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11
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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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12
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The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part II). Mol Diagn Ther 2019; 23:27-51. [PMID: 30387041 DOI: 10.1007/s40291-018-0367-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The present era of precision medicine sees "cancer" as a consequence of molecular derangements occurring at the commencement of the disease process, with morphological changes happening much later in the process of tumourigenesis. Conventional imaging techniques, such as computed tomography (CT), ultrasound (US) and magnetic resonance imaging (MRI) play an integral role in the detection of disease at the macroscopic level. However, molecular functional imaging (MFI) techniques entail the visualisation and quantification of biochemical and physiological processes occurring during tumourigenesis. MFI has the potential to play a key role in heralding the transition from the concept of "one-size-fits-all" treatment to "precision medicine". Integration of MFI with other fields of tumour biology such as genomics has spawned a novel concept called "radiogenomics", which could serve as an indispensable tool in translational cancer research. With recent advances in medical image processing, such as texture analysis, deep learning and artificial intelligence, the future seems promising; however, their clinical utility remains unproven at present. Despite the emergence of novel imaging biomarkers, the majority of these require validation before clinical translation is possible. In this two part review, we discuss the systematic collaboration across structural, anatomical and molecular imaging techniques that constitute MFI. Part I reviews positron emission tomography, radiogenomics, AI, and optical imaging, while part II reviews MRI, CT and ultrasound, their current status, and recent advances in the field of precision oncology.
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13
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Beaton L, Bandula S, Gaze MN, Sharma RA. How rapid advances in imaging are defining the future of precision radiation oncology. Br J Cancer 2019; 120:779-790. [PMID: 30911090 PMCID: PMC6474267 DOI: 10.1038/s41416-019-0412-y] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 01/23/2019] [Accepted: 02/05/2019] [Indexed: 12/13/2022] Open
Abstract
Imaging has an essential role in the planning and delivery of radiotherapy. Recent advances in imaging have led to the development of advanced radiotherapy techniques—including image-guided radiotherapy, intensity-modulated radiotherapy, stereotactic body radiotherapy and proton beam therapy. The optimal use of imaging might enable higher doses of radiation to be delivered to the tumour, while sparing normal surrounding tissues. In this article, we review how the integration of existing and novel forms of computed tomography, magnetic resonance imaging and positron emission tomography have transformed tumour delineation in the radiotherapy planning process, and how these advances have the potential to allow a more individualised approach to the cancer therapy. Recent data suggest that imaging biomarkers that assess underlying tumour heterogeneity can identify areas within a tumour that are at higher risk of radio-resistance, and therefore potentially allow for biologically focussed dose escalation. The rapidly evolving concept of adaptive radiotherapy, including artificial intelligence, requires imaging during treatment to be used to modify radiotherapy on a daily basis. These advances have the potential to improve clinical outcomes and reduce radiation-related long-term toxicities. We outline how recent technological advances in both imaging and radiotherapy delivery can be combined to shape the future of precision radiation oncology.
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Affiliation(s)
- Laura Beaton
- Cancer Institute, University College London, London, UK
| | - Steve Bandula
- Cancer Institute, University College London, London, UK.,NIHR University College London Hospitals Biomedical Research Centre, UCL Cancer Institute, University College London, London, UK
| | - Mark N Gaze
- NIHR University College London Hospitals Biomedical Research Centre, UCL Cancer Institute, University College London, London, UK
| | - Ricky A Sharma
- Cancer Institute, University College London, London, UK. .,NIHR University College London Hospitals Biomedical Research Centre, UCL Cancer Institute, University College London, London, UK.
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14
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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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15
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Armstrong G, Croft J, Corrigan N, Brown JM, Goh V, Quirke P, Hulme C, Tolan D, Kirby A, Cahill R, O'Connell PR, Miskovic D, Coleman M, Jayne D. IntAct: intra-operative fluorescence angiography to prevent anastomotic leak in rectal cancer surgery: a randomized controlled trial. Colorectal Dis 2018; 20:O226-O234. [PMID: 29751360 PMCID: PMC6099475 DOI: 10.1111/codi.14257] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 05/02/2018] [Indexed: 02/06/2023]
Abstract
AIM Anastomotic leak (AL) is a major complication of rectal cancer surgery. Despite advances in surgical practice, the rates of AL have remained static, at around 10-15%. The aetiology of AL is multifactorial, but one of the most crucial risk factors, which is mostly under the control of the surgeon, is blood supply to the anastomosis. The MRC/NIHR IntAct study will determine whether assessment of anastomotic perfusion using a fluorescent dye (indocyanine green) and near-infrared laparoscopy can minimize the rate of AL leak compared with conventional white-light laparoscopy. Two mechanistic sub-studies will explore the role of the rectal microbiome in AL and the predictive value of CT angiography/perfusion studies. METHOD IntAct is a prospective, unblinded, parallel-group, multicentre, European, randomized controlled trial comparing surgery with intra-operative fluorescence angiography (IFA) against standard care (surgery with no IFA). The primary end-point is rate of clinical AL at 90 days following surgery. Secondary end-points include all AL (clinical and radiological), change in planned anastomosis, complications and re-interventions, use of stoma, cost-effectiveness of the intervention and quality of life. Patients should have a diagnosis of adenocarcinoma of the rectum suitable for potentially curative surgery by anterior resection. Over 3 years, 880 patients from 25 European centres will be recruited and followed up for 90 days. DISCUSSION IntAct will rigorously evaluate the use of IFA in rectal cancer surgery and explore the role of the microbiome in AL and the predictive value of preoperative CT angiography/perfusion scanning.
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Affiliation(s)
| | - J. Croft
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - N. Corrigan
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - J. M. Brown
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - V. Goh
- School of Biomedical Engineering and Imaging SciencesKing's College London and Honorary Consultant RadiologistGuy's and St Thomas’ Hospitals NHS Foundation TrustLondonUK
| | | | - C. Hulme
- Academic Unit of Health EconomicsLeeds Institute of Health SciencesUniversity of LeedsLeedsUK
| | - D. Tolan
- Leeds Teaching Hospital TrustLeedsUK
| | | | - R. Cahill
- University College DublinDublinIreland
| | | | | | - M. Coleman
- Derriford HospitalPlymouth NHS TrustPlymouthUK
| | - D. Jayne
- Leeds Institute of Biological and Clinical SciencesSt James's University HospitalLeedsUK
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16
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García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Marhuenda A, Vilanova JC, Osorio-Vázquez I, Martínez-de-Alegría A, Gómez-Caamaño A. Advanced Imaging Techniques in Evaluation of Colorectal Cancer. Radiographics 2018; 38:740-765. [PMID: 29676964 DOI: 10.1148/rg.2018170044] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Imaging techniques are clinical decision-making tools in the evaluation of patients with colorectal cancer (CRC). The aim of this article is to discuss the potential of recent advances in imaging for diagnosis, prognosis, therapy planning, and assessment of response to treatment of CRC. Recent developments and new clinical applications of conventional imaging techniques such as virtual colonoscopy, dual-energy spectral computed tomography, elastography, advanced computing techniques (including volumetric rendering techniques and machine learning), magnetic resonance (MR) imaging-based magnetization transfer, and new liver imaging techniques, which may offer additional clinical information in patients with CRC, are summarized. In addition, the clinical value of functional and molecular imaging techniques such as diffusion-weighted MR imaging, dynamic contrast material-enhanced imaging, blood oxygen level-dependent imaging, lymphography with contrast agents, positron emission tomography with different radiotracers, and MR spectroscopy is reviewed, and the advantages and disadvantages of these modalities are evaluated. Finally, the future role of imaging-based analysis of tumor heterogeneity and multiparametric imaging, the development of radiomics and radiogenomics, and future challenges for imaging of patients with CRC are discussed. Online supplemental material is available for this article. ©RSNA, 2018.
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Affiliation(s)
- Roberto García-Figueiras
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Sandra Baleato-González
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Anwar R Padhani
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Antonio Luna-Alcalá
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Ana Marhuenda
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Joan C Vilanova
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Iria Osorio-Vázquez
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Anxo Martínez-de-Alegría
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Antonio Gómez-Caamaño
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
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17
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Ivan CV, Mullineux JH, Verma R, Shah V, De A, Elabassy M, Rajesh A, Stephenson JA. Reply to Akingboye et al. Colorectal Dis 2018; 20:76-77. [PMID: 29027365 DOI: 10.1111/codi.13916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 10/03/2017] [Indexed: 02/08/2023]
Affiliation(s)
- C V Ivan
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - J H Mullineux
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - R Verma
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - V Shah
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - A De
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - M Elabassy
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - A Rajesh
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
| | - J A Stephenson
- Gastrointestinal Imaging Group, Department of Radiology, University Hospitals of Leicester, Leicester General Hospital, Leicester, UK
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Parameters Affecting the Enhanced Permeability and Retention Effect: The Need for Patient Selection. J Pharm Sci 2017; 106:3179-3187. [PMID: 28669714 DOI: 10.1016/j.xphs.2017.06.019] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/03/2017] [Accepted: 06/09/2017] [Indexed: 02/07/2023]
Abstract
The enhanced permeability and retention (EPR) effect constitutes the rationale by which nanotechnologies selectively target drugs to tumors. Despite promising preclinical and clinical results, these technologies have, in our view, underachieved compared to their potential, possibly due to a suboptimal exploitation of the EPR effect. Here, we have systematically analyzed clinical data to identify key parameters affecting the extent of the EPR effect. An analysis of 17 clinical studies showed that the magnitude of the EPR effect was varied and was influenced by tumor type and size. Pancreatic, colon, breast, and stomach cancers showed the highest levels of accumulation of nanomedicines. Tumor size also had an effect on the accumulation of nanomedicines, with large-size tumors having higher accumulation than both medium- and very large-sized tumors. However, medium tumors had the highest percentage of cases (100% of patients) with evidence of the EPR effect. Moreover, tumor perfusion, angiogenesis, inflammation in tumor tissues, and other factors also emerged as additional parameters that might affect the accumulation of nanomedicines into tumors. At the end of the commentary, we propose 2 strategies for identification of suitable patient subpopulations, with respect to the EPR effect, in order to maximize therapeutic outcome.
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19
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García-Figueiras R, Baleato-González S, Padhani AR, Marhuenda A, Luna A, Alcalá L, Carballo-Castro A, Álvarez-Castro A. Advanced imaging of colorectal cancer: From anatomy to molecular imaging. Insights Imaging 2016; 7:285-309. [PMID: 27136925 PMCID: PMC4877344 DOI: 10.1007/s13244-016-0465-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 12/30/2015] [Accepted: 01/19/2016] [Indexed: 12/14/2022] Open
Abstract
UNLABELLED Imaging techniques play a key role in the management of patients with colorectal cancer. The introduction of new advanced anatomical, functional, and molecular imaging techniques may improve the assessment of diagnosis, prognosis, planning therapy, and assessment of response to treatment of these patients. Functional and molecular imaging techniques in clinical practice may allow the assessment of tumour-specific characteristics and tumour heterogeneity. This paper will review recent developments in imaging technologies and the evolving roles for these techniques in colorectal cancer. TEACHING POINTS • Imaging techniques play a key role in the management of patients with colorectal cancer. • Advanced imaging techniques improve the evaluation of these patients. • Functional and molecular imaging allows assessment of tumour hallmarks and tumour heterogeneity.
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Affiliation(s)
- Roberto García-Figueiras
- />Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Sandra Baleato-González
- />Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Anwar R. Padhani
- />Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England, HA6 2RN UK
| | - Ana Marhuenda
- />Department of Radiology, IVO (Instituto Valenciano de Oncología), C/ Beltrán Báguena, 8, 46009 Valencia, Spain
| | - Antonio Luna
- />Department of Radiology, Advanced Medical Imaging, Clinica Las Nieves, SERCOSA, Grupo Health Time, C/ Carmelo Torres 2, 23007 Jaén, Spain
- />Case Western Reserve University, Cleveland, OH USA
| | - Lidia Alcalá
- />Department of Radiology, Advanced Medical Imaging, Clinica Las Nieves, SERCOSA, Grupo Health Time, C/ Carmelo Torres 2, 23007 Jaén, Spain
| | - Ana Carballo-Castro
- />Department of Radiotherapy, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Ana Álvarez-Castro
- />Department of Gastroenterology, Colorectal Cancer Group, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, Santiago de Compostela, 15706 Spain
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Winfield JM, Payne GS, deSouza NM. Functional MRI and CT biomarkers in oncology. Eur J Nucl Med Mol Imaging 2015; 42:562-78. [PMID: 25578953 DOI: 10.1007/s00259-014-2979-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 12/15/2014] [Indexed: 02/07/2023]
Abstract
Imaging biomarkers derived from MRI or CT describe functional properties of tumours and normal tissues. They are finding increasing numbers of applications in diagnosis, monitoring of response to treatment and assessment of progression or recurrence. Imaging biomarkers also provide scope for assessment of heterogeneity within and between lesions. A wide variety of functional parameters have been investigated for use as biomarkers in oncology. Some imaging techniques are used routinely in clinical applications while others are currently restricted to clinical trials or preclinical studies. Apparent diffusion coefficient, magnetization transfer ratio and native T1 relaxation time provide information about structure and organization of tissues. Vascular properties may be described using parameters derived from dynamic contrast-enhanced MRI, dynamic contrast-enhanced CT, transverse relaxation rate (R2*), vessel size index and relative blood volume, while magnetic resonance spectroscopy may be used to probe the metabolic profile of tumours. This review describes the mechanisms of contrast underpinning each technique and the technical requirements for robust and reproducible imaging. The current status of each biomarker is described in terms of its validation, qualification and clinical applications, followed by a discussion of the current limitations and future perspectives.
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Affiliation(s)
- J M Winfield
- CRUK Imaging Centre at the Institute of Cancer Research, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, UK,
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21
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Rana L, Sharma S, Sood S, Singh B, Gupta MK, Minhas RS, Jhobta A, Bhatia V, Venkat B. Volumetric CT perfusion assessment of treatment response in head and neck squamous cell carcinoma: Comparison of CT perfusion parameters before and after chemoradiation therapy. Eur J Radiol Open 2015; 2:46-54. [PMID: 26937435 PMCID: PMC4750578 DOI: 10.1016/j.ejro.2015.02.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2014] [Revised: 02/18/2015] [Accepted: 02/23/2015] [Indexed: 11/30/2022] Open
Abstract
Background and purpose World Health Organization estimated that there were 600,000 new cases of head and neck cancers and 300,000 deaths each year worldwide. Scientific modalities to predict the treatment outcomes are not available yet. We conducted this study to (1) compare CT perfusion parameters before and after chemoradiation among patients with head and neck squamous cell carcinoma and (2) to evaluate the prognostic value of each perfusion parameter in predicting the response to chemoradiation. Materials and methods We conducted a prospective study among all patients with head and neck squamous cell carcinoma registered for chemoradiotherapy (CRT) at Regional Cancer Research Center, Shimla, Himachal Pradesh, India during the period June 2012 through June 2013. CTp data were acquired on a 64-slice CT scanner (Light speed VCT Xte; GE Healthcare) with 14 cm z-axis coverage using Volume Helical Shuttle (VHS) feature at baseline, on completion of 40 Gy and 66 Gy of chemoradiation. We dichotomised the treatment outcome as complete response and non-response (partial responders/stable disease/progressive disease) using RECIST 1.1 criteria. We compared all perfusion parameters at baseline, 40 Gy and 66 Gy of CRT between responders and non-responders. We dichotomised the perfusion parameters as high (>median value) and low (≤median value) to analyze association between perfusion parameters and treatment outcome. We calculated the sensitivity, specificity, predictive values, and likelihood ratios for each dichotomized perfusion parameter using Wilson Score method. Results We followed 24 patients (23 of them men) from start of the treatment till completion of it. All had Stage III or Stage IV of the disease. Blood flow (BF) and blood volume (BV) decreased and Mean Transit Time (MTT) increased significantly (p < 0.05) at 66 Gy among responders to CRT as compared to non-responders. Patients with high BF (>106 ml/100 g/min) at baseline were five times more likely (p = 0.004) to respond to treatment as compared to those with low BF. BF was found to be 83.3% predictive of complete response. Other perfusion parameters were not significantly predictive of outcome (p > 0.05) Combination of high BF (>106 ml/100 g/min) and low (≤47 ml/100 g/min) permeability surface (PS) was 100% predictive of response to CRT irrespective of the stage of tumor. Conclusions High BF at baseline is the single best predictor of response to chemoradiaton. A combination of high BF and low PS was found to be 100% predictive of complete response irrespective of the stage of the tumor.
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Key Words
- BF, blood flow
- BV, blood volume
- CECT, contrast enhanced computed tomography
- CR, complete responder
- CRT, chemotherapy and radiation therapy
- CT perfusion
- CT, computed tomography
- CTP, perfusion computed tomography
- Chemoradiation
- HNSCC, head and neck squamous cell carcinoma
- Head and neck squamous cell carcinoma
- MVD, microvascular density
- PD, progressive disease
- PR, partial responder
- PS, permeability surface area product
- Perfusion parameters
- RECIST 1.1
- RECIST, response evaluation criteria in solid tumors
- ROI, region of interest
- SCC, squamous cell carcinoma
- SCCA, squamous cell carcinoma of aerodigestive tract
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Affiliation(s)
- Lokesh Rana
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
| | - Sanjiv Sharma
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
| | - Shikha Sood
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
| | - Balraj Singh
- Department of Community Medicine, IGMC Shimla, Himachal Pradesh 171001, India
| | - Manoj K Gupta
- Department of Radiotherapy, Regional Cancer Research Centre, IGMC Shimla, Himachal Pradesh 171001, India
| | - R S Minhas
- Department of E.N.T., IGMC Shimla, Himachal Pradesh 171001, India
| | - Anupam Jhobta
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
| | - Vikas Bhatia
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
| | - Bargavee Venkat
- Department of Radio Diagnosis, IGMC Shimla, Himachal Pradesh 171001, India
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