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Li Y, Li S, Xiao R, Li X, Yi Y, Zhang L, Zhou Y, Wan Y, Wei C, Zhong L, Yang W, Yao L. A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer. Front Oncol 2025; 15:1496820. [PMID: 39980546 PMCID: PMC11841465 DOI: 10.3389/fonc.2025.1496820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 01/20/2025] [Indexed: 02/22/2025] Open
Abstract
Objective Accurate preoperative evaluation of rectal cancer lung metastases (RCLM) is critical for implementing precise medicine. While artificial intelligence (AI) methods have been successful in detecting liver and lymph node metastases using magnetic resonance (MR) images, research on lung metastases is still limited. Utilizing MR images to classify RCLM could potentially reduce ionizing radiation exposure and the costs associated with chest CT in patients without metastases. This study aims to develop and validate a transformer-based deep learning (DL) model based on pelvic MR images, integrated with clinical features, to predict RCLM. Methods A total of 819 patients with histologically confirmed rectal cancer who underwent preoperative pelvis MRI and carcinoembryonic antigen (CEA) tests were enrolled. Six state-of-the-art DL methods (Resnet18, EfficientNetb0, MobileNet, ShuffleNet, DenseNet, and our transformer-based model) were trained and tested on T2WI and DWI to predict RCLM. The predictive performance was assessed using the receiver operating characteristic (ROC) curve. Results Our transformer-based DL model achieved impressive results in the independent test set, with an AUC of 83.74% (95% CI, 72.60%-92.83%), a sensitivity of 80.00%, a specificity of 78.79%, and an accuracy of 79.01%. Specifically, for stage T4 and N2 rectal cancer cases, the model achieved AUCs of 96.67% (95% CI, 87.14%-100%, 93.33% sensitivity, 89.04% specificity, 94.74% accuracy), and 96.83% (95% CI, 88.67%-100%, 100% sensitivity, 83.33% specificity, 88.00% accuracy) respectively, in predicting RCLM. Our DL model showed a better predictive performance than other state-of-the-art DL methods. Conclusion The superior performance demonstrates the potential of our work for predicting RCLM, suggesting its potential assistance in personalized treatment and follow-up plans.
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Affiliation(s)
- Yin Li
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University Yuexi Hospital, Maoming, China
| | - Shuang Li
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of General Practice, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ruolin Xiao
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
| | - Xi Li
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University Yuexi Hospital, Maoming, China
| | - Yongju Yi
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Liangyou Zhang
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - You Zhou
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yun Wan
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University Yuexi Hospital, Maoming, China
| | - Chenhua Wei
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University Yuexi Hospital, Maoming, China
| | - Liming Zhong
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
| | - Wei Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
| | - Lin Yao
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Information, The Sixth Affiliated Hospital, Sun Yat-sen University Yuexi Hospital, Maoming, China
- Department of General Practice, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Awali M, El Homsi M, Fraum TJ, Shetty AS, Ponisio MR, Gharzeddine K, Mhlanga J, Mallak N, Behr S, Itani M. PET/MRI: pictorial review of hepatobiliary and pancreatic applications. Abdom Radiol (NY) 2025; 50:875-901. [PMID: 39254711 DOI: 10.1007/s00261-024-04548-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/20/2024] [Accepted: 08/25/2024] [Indexed: 09/11/2024]
Abstract
PET and MRI both play valuable roles in the management of hepatobiliary and pancreatic (HBP) malignancies. Simultaneous PET/MRI combines the excellent soft-tissue resolution and anatomic details from MRI with functional information from PET in a single comprehensive examination. MRI is the main imaging modality in evaluating HCC, playing important roles in screening, characterization, local extent, and evaluating tumor response, whereas 18F-fluorodeoxyglucose (FDG) PET can help evaluate for lymph node involvement and metastatic disease. In cholangiocarcinoma and pancreatic malignancies, both PET and MRI have excellent utility in initial staging as well as assessing treatment response. In all HBP malignancies, FDG-PET/MRI is a unique problem-solving tool in complex cases and diagnostic challenges, especially after locoregional therapy and when differentiating residual or recurrent viable disease from inflammatory and other benign processes. In this manuscript, we review the role of PET/MRI in the diagnosis, staging, assessing treatment response, and characterizing post-treatment processes. With the introduction of multiple new tracers, the value of PET/MRI has not yet been fully realized, and more studies are needed to demonstrate the utility and efficacy of PET/MRI in improving patient care in hepatobiliary and pancreatic oncology.
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Affiliation(s)
- Mohamed Awali
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA
| | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Tyler J Fraum
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA
| | - Anup S Shetty
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA
| | - Maria R Ponisio
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA
| | - Karem Gharzeddine
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Joyce Mhlanga
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA
| | - Nadine Mallak
- Department of Diagnostic Radiology, Oregon Health & Sciences University, 3181 Southwest Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Spencer Behr
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, Room M 372, Box 0628, San Francisco, CA, 94143, USA
| | - Malak Itani
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Blvd, Box 8131, St Louis, MO, 63110, USA.
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Ferri V, Vicente E, Quijano Y, Duran H, Diaz E, Fabra I, Malave L, Ruiz P, Ballelli L, Broglio A, Cañamaque LG, Segui AV, Dueñas VP, Caruso R. Predicting treatment response and survival in rectal cancer: insights from 18 FDG-PET/MRI post-neoadjuvant therapy. Int J Colorectal Dis 2025; 40:6. [PMID: 39757340 DOI: 10.1007/s00384-024-04803-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/31/2024] [Indexed: 01/07/2025]
Abstract
INTRODUCTION Accurate identification of patients with pathologic complete response (pCR) following neoadjuvant radiochemotherapy (RCT) for locally advanced rectal cancer (LARC) is essential. 18-FDG PET/MRI provides metabolic information that complements the morphological assessment of standard MRI, potentially enhancing the differentiation between fibrotic and tumorous tissues post-treatment. This study aims to evaluate the performance of 18-FDG PET/MRI in assessing treatment response compared to standard MRI. MATERIALS AND METHODS A prospective study was conducted at HM Sanchinarro University Hospital, Madrid, from 2018 to 2021. Patients with LARC undergoing RCT were included and staged at diagnosis and restaged 8-12 weeks post-neoadjuvant treatment using 18-FDG PET/MRI. The primary outcome was to compare the performance of PET/MRI and standard MRI in detecting pCR and tumor regression grade (TRG) confirmed via histopathological examination. Quantitative analysis assessed the apparent diffusion coefficient (ADC) and standardized uptake value (SUV). A secondary outcome included survival analysis using the Kaplan-Meier method and Cox regression analysis for radiological and pathological prognostic markers. RESULTS Among 33 patients, pCR was observed in 45% (14/33). PET/MRI demonstrated sensitivity, specificity, and accuracy values of 0.88, 0.80, and 0.84, respectively, for detecting pCR, compared to 0.82, 0.50, and 0.67 for standard MRI (p < 0.001). PET/MRI accurately identified TRG stages in 72% of cases, compared to 50% for standard MRI. Post-SUV, post-ADC, and delta-ADC were the most precise PET/MRI predictors for pCR, with AUC values of 0.81, 0.75, and 0.55, respectively. Patients with mrEMVI and mrTRG showed worse disease-free survival (DFS). CONCLUSION 18-FDG PET/MRI emerges as a promising imaging tool for predicting response to neoadjuvant treatment in rectal cancer, with superior diagnostic accuracy compared to standard MRI. Radiological findings, such as EMVI, can identify high-risk patients, offering valuable prognostic insights.
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Affiliation(s)
- Valentina Ferri
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain.
| | - Emilio Vicente
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Yolanda Quijano
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Hipolito Duran
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Eduardo Diaz
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Isabel Fabra
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Luis Malave
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | - Pablo Ruiz
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
| | | | | | | | | | | | - Riccardo Caruso
- General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain
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Lo HZ, Choy KT, Kong JCH. FDG-PET/MRI in colorectal cancer care: an updated systematic review. Abdom Radiol (NY) 2025; 50:49-63. [PMID: 39073608 PMCID: PMC11711575 DOI: 10.1007/s00261-024-04460-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/11/2024] [Accepted: 06/15/2024] [Indexed: 07/30/2024]
Abstract
PURPOSE Since its introduction in 2011, FDG-PET/MRI has been advocated as a useful adjunct in colorectal cancer care. However, gaps and limitations in current research remain. This systematic review aims to review the current literature to quantify the utility of FDG-PET/MRI in colorectal cancer care. METHODS An up-to-date review was performed on the available literature between 2000 and 2023 on PubMed, EMBASE, Medline, databases. All studies reporting on the use of FDG-PET/MRI in colorectal cancer care were analyzed. The main outcome measures were accuracy in initial staging, restaging, and detection of metastatic disease in both rectal as well as colon cancers. The secondary outcome was comparing the performance of FDG-PET/MRI versus Standard of Care Imaging (SCI). Finally, the clinical significance of FDG-PET/MRI was measured in the change in management resulting from imaging findings. RESULTS A total of 22 observational studies were included, accounting for 988 patients. When individually compared to current Standard of Care Imaging (SCI)-MRI pelvis for rectal cancer and thoraco-abdominal contrast CT, PET/MRI proved superior in terms of distant metastatic disease detection. This led to as much as 21.0% change in management. However, the technological limitations of PET/MRI were once again highlighted, suggesting SCI should retain its place as first-line imaging. CONCLUSION FDG-PET/MRI appears to be a promising adjunct in staging and restaging of colorectal cancer in carefully selected patients.
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Affiliation(s)
- Hui Zhen Lo
- School of Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
| | - Kay Tai Choy
- Department of Surgery, Austin Health, Melbourne, VIC, Australia
| | - Joseph Cherng Huei Kong
- Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Department of Colorectal Surgery, Alfred Hospital, Melbourne, VIC, Australia
- Central Clinical School, Monash University, Melbourne, VIC, Australia
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Yu X, Wang J, Huang L, Xie L, Su Y. Predictive value of 18F-FDG PET/CT metabolic parameters for lymph node metastasis of non-small cell lung cancer. Biomark Med 2025; 19:35-41. [PMID: 39717963 PMCID: PMC11749359 DOI: 10.1080/17520363.2024.2443379] [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: 08/19/2024] [Accepted: 12/13/2024] [Indexed: 12/25/2024] Open
Abstract
BACKGROUND Lymph node metastasis is closely associated with the prognosis of patients with non-small cell lung cancer (NSCLC). This study aimed to evaluate the role of preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) parameters in mediastinal lymph node metastasis in NSCLC. METHODS One hundred patients with NSCLC who underwent surgery, systematic lymph node dissection, who had undergone 18FFDG PET/CT for initial staging were divided into two groups: lymph node metastasis and non-metastasis. The maximum standardized uptake value (SUVmax), average standardized uptake value (SUVmean), SUV in the liver (SURliver), mediastinal blood pool (SURblood), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were detected in both groups. Receiver operating characteristic (ROC) curves were used to evaluate the parameters for predicting the diagnostic efficacy. RESULTS The SUVmax, SUVmean, SURblood, SURliver, MTV, and TLG were higher in the group with lymph node metastasis than in the group without lymph node metastasis. The ROC analysis showed that 18F-FDG PET/CT demonstrated acceptable predictive ability with AUC of 0.964 (95% CI, 0.930-0.998). CONCLUSIONS The relative 18F-FDG PET/CT primary uptake and substitution parameters showed acceptable predictive efficacy for mediastinal lymph node metastasis in patients with NSCLC. Additional, SURblood has potential for clinical application.
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Affiliation(s)
- Xiaopeng Yu
- Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Jianlin Wang
- Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Liqun Huang
- Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Long Xie
- Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Yingrui Su
- Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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Zhao J, Wang F, Wang RF. Nuclear medicine based multimodal molecular imaging facilitates precision medicine for gastrointestinal tumors. Shijie Huaren Xiaohua Zazhi 2024; 32:727-734. [DOI: 10.11569/wcjd.v32.i10.727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 09/23/2024] [Accepted: 10/21/2024] [Indexed: 10/28/2024] Open
Abstract
Gastric and colorectal cancers are the most common gastrointestinal malignancies, with high morbidity and mortality rates. Early diagnosis and accurate staging are of great significance for formulating reasonable clinical treatment plans, guiding surgical methods, effectively carrying out individualized comprehensive treatment, and estimating prognosis. As representatives of nuclear medicine based multimodal molecular imaging technologies, positron emission tomography/computed tomography and positron emission tomography/magnetic resonance imaging allow for obtaining the status of lesions throughout the body in one imaging procedure, and are less likely to miss distant and neighboring metastatic lesions. It is very important to truly achieve accurate disease classification and diagnosis, and develop individualized disease prevention and treatment plans. The emerging multimodal nuclide tracer molecular imaging technology has important clinical value in the diagnosis and treatment of gastric cancer and colorectal cancer. This article reviews the application and progress of the two examination methods in the diagnosis and staging of gastric cancer and colorectal cancer.
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Affiliation(s)
- Jing Zhao
- Department of Nuclear Medicine, Peking University International Hospital, Beijing 102206, China
| | - Fei Wang
- Department of Pharmacy, Peking University First Hospital, Beijing 100034, China
| | - Rong-Fu Wang
- Department of Nuclear Medicine, Peking University International Hospital, Beijing 102206, China
- Department of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China
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7
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Mariani I, Maino C, Giandola TP, Franco PN, Drago SG, Corso R, Talei Franzesi C, Ippolito D. Texture Analysis and Prediction of Response to Neoadjuvant Treatment in Patients with Locally Advanced Rectal Cancer. GASTROINTESTINAL DISORDERS 2024; 6:858-870. [DOI: 10.3390/gidisord6040060] [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: 01/05/2025] Open
Abstract
Background: The purpose of this study is to determine the relationship between the texture analysis extracted from preoperative rectal magnetic resonance (MR) studies and the response to neoadjuvant treatment. Materials and Methods: In total, 88 patients with rectal adenocarcinoma who underwent staging MR between 2017 and 2022 were retrospectively enrolled. After the completion of neoadjuvant treatment, they underwent surgical resection. The tumour regression grade (TRG) was collected. Patients with TRG 1–2 were classified as responders, while patients with TRG 3 to 5 were classified as non-responders. A texture analysis was conducted using LIFEx software (v 7.6.0), where T2-weighted MR sequences on oriented axial planes were uploaded, and a region of interest (ROI) was manually drawn on a single slice. Features with a Spearman correlation index > 0.5 have been discarded, and a LASSO feature selection has been applied. Selected features were trained using bootstrapping. Results: According to the TRG classes, 49 patients (55.8%) were considered responders, while 39 (44.2) were non-responders. Two features were associated with the responder class: GLCM_Homogeneity and Discretized Histo Entropy log 2. Regarding GLCM_Homogeneity, the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were 0.779 (95% CIs = 0.771–0.816), 86% (80–90), and 67% (60–71). Regarding Discretized Histo Entropy log 2, we found 0.775 AUC (0.700–0.801), 80% sensitivity (74–83), and 63% specificity (58–69). Combining both radiomics features the radiomics signature diagnostic accuracy increased (AUC = 0.844). Finally, the AUC of 1000 bootstraps were 0.810. Conclusions: Texture analysis can be considered an advanced tool for determining a possible correlation between pre-surgical MR data and the response to neoadjuvant therapy.
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Affiliation(s)
- Ilaria Mariani
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Teresa Paola Giandola
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Paolo Niccolò Franco
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Silvia Girolama Drago
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Rocco Corso
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Cammillo Talei Franzesi
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
- School of Medicine, University of Milano Bicocca, Via Cadore 33, 20090 Monza, Italy
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Maksim R, Buczyńska A, Sidorkiewicz I, Krętowski AJ, Sierko E. Imaging and Metabolic Diagnostic Methods in the Stage Assessment of Rectal Cancer. Cancers (Basel) 2024; 16:2553. [PMID: 39061192 PMCID: PMC11275086 DOI: 10.3390/cancers16142553] [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: 06/10/2024] [Revised: 07/04/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Rectal cancer (RC) is a prevalent malignancy with significant morbidity and mortality rates. The accurate staging of RC is crucial for optimal treatment planning and patient outcomes. This review aims to summarize the current literature on imaging and metabolic diagnostic methods used in the stage assessment of RC. Various imaging modalities play a pivotal role in the initial evaluation and staging of RC. These include magnetic resonance imaging (MRI), computed tomography (CT), and endorectal ultrasound (ERUS). MRI has emerged as the gold standard for local staging due to its superior soft tissue resolution and ability to assess tumor invasion depth, lymph node involvement, and the presence of extramural vascular invasion. CT imaging provides valuable information about distant metastases and helps determine the feasibility of surgical resection. ERUS aids in assessing tumor depth, perirectal lymph nodes, and sphincter involvement. Understanding the strengths and limitations of each diagnostic modality is essential for accurate staging and treatment decisions in RC. Furthermore, the integration of multiple imaging and metabolic methods, such as PET/CT or PET/MRI, can enhance diagnostic accuracy and provide valuable prognostic information. Thus, a literature review was conducted to investigate and assess the effectiveness and accuracy of diagnostic methods, both imaging and metabolic, in the stage assessment of RC.
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Affiliation(s)
- Rafał Maksim
- Department of Radiotherapy, Maria Skłodowska-Curie Białystok Oncology Center, 15-027 Bialystok, Poland;
| | - Angelika Buczyńska
- Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland; (A.B.); (A.J.K.)
| | - Iwona Sidorkiewicz
- Clinical Research Support Centre, Medical University of Bialystok, 15-276 Bialystok, Poland;
| | - Adam Jacek Krętowski
- Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland; (A.B.); (A.J.K.)
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Ewa Sierko
- Department of Oncology, Medical University of Bialystok, 15-276 Bialystok, Poland
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Bialystok, Poland
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Piqeur F, Creemers DMJ, Banken E, Coolen L, Tanis PJ, Maas M, Roef M, Marijnen CAM, van Hellemond IEG, Nederend J, Rutten HJT, Peulen HMU, Burger JWA. Dutch national guidelines for locally recurrent rectal cancer. Cancer Treat Rev 2024; 127:102736. [PMID: 38696903 DOI: 10.1016/j.ctrv.2024.102736] [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: 11/27/2023] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/04/2024]
Abstract
Due to improvements in treatment for primary rectal cancer, the incidence of LRRC has decreased. However, 6-12% of patients will still develop a local recurrence. Treatment of patients with LRRC can be challenging, because of complex and heterogeneous disease presentation and scarce - often low-grade - data steering clinical decisions. Previous consensus guidelines have provided some direction regarding diagnosis and treatment, but no comprehensive guidelines encompassing all aspects of the clinical management of patients with LRRC are available to date. The treatment of LRRC requires a multidisciplinary approach and overarching expertise in all domains. This broad expertise is often limited to specific expert centres, with dedicated multidisciplinary teams treating LRRC. A comprehensive, narrative literature review was performed and used to develop the Dutch National Guideline for management of LRRC, in an attempt to guide decision making for clinicians, regarding the complete clinical pathway from diagnosis to surgery.
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Affiliation(s)
- Floor Piqeur
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands; Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066 CX, Amsterdam, the Netherlands; Department of Radiation Oncology, Leiden University Medical Centre, Albinusdreef 2 2333ZA, Leiden, the Netherlands
| | - Davy M J Creemers
- GROW School of Oncology and Developmental Biology, University of Maastricht, Universiteitssingel 40 6229ER, Maastricht, the Netherlands; Department of Surgery, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands
| | - Evi Banken
- GROW School of Oncology and Developmental Biology, University of Maastricht, Universiteitssingel 40 6229ER, Maastricht, the Netherlands; Department of Medical Oncology, Catharina Hospital, Michelangelolaan 2 5623 EJ, Eindhoven, the Netherlands
| | - Liën Coolen
- Department of Radiology, Catharina Hospital, Michelangelolaan 2 5623 EJ, Eindhoven, the Netherlands
| | - Pieter J Tanis
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Centre, Dr. Molewaterplein 40 3015 GD, Rotterdam, the Netherlands
| | - Monique Maas
- GROW School of Oncology and Developmental Biology, University of Maastricht, Universiteitssingel 40 6229ER, Maastricht, the Netherlands; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121 1066 CX, Amsterdam, the Netherlands
| | - Mark Roef
- Department of Nuclear Medicine, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands
| | - Corrie A M Marijnen
- Department of Radiation Oncology, Leiden University Medical Centre, Albinusdreef 2 2333ZA, Leiden, the Netherlands
| | - Irene E G van Hellemond
- Department of Medical Oncology, Catharina Hospital, Michelangelolaan 2 5623 EJ, Eindhoven, the Netherlands
| | - Joost Nederend
- Department of Radiology, Catharina Hospital, Michelangelolaan 2 5623 EJ, Eindhoven, the Netherlands
| | - Harm J T Rutten
- GROW School of Oncology and Developmental Biology, University of Maastricht, Universiteitssingel 40 6229ER, Maastricht, the Netherlands; Department of Surgery, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands
| | - Heike M U Peulen
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands
| | - Jacobus W A Burger
- Department of Surgery, Catharina Hospital, Michelangelolaan 2 5623EJ, Eindhoven, the Netherlands.
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Zhang M, Liu Z, Yuan Y, Yang W, Cao X, Ma M, Han B. Head-to-head comparison of 18F-FDG PET/CT and 18F-FDG PET/MRI for lymph node metastasis staging in non-small cell lung cancer: a meta-analysis. Diagn Interv Radiol 2024; 30:99-106. [PMID: 38291975 PMCID: PMC10916527 DOI: 10.4274/dir.2023.232280] [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: 04/27/2023] [Accepted: 10/16/2023] [Indexed: 02/01/2024]
Abstract
PURPOSE The current meta-analysis aimed to compare the diagnostic performance of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) with 18F-FDG PET/magnetic resonance imaging (MRI) in non-small cell lung cancer (NSCLC) lymph node metastasis staging. METHODS We searched the PubMed, Web of Science, and Embase databases for relevant articles between November 1992 and September 2022. Studies evaluating the head-to-head comparison of 18F-FDG PET/CT and 18F-FDG PET/MRI for lymph node metastasis in patients with NSCLC were included. The quality of each study was assessed using the Quality Assessment of Diagnostic Performance Studies-2 tool. RESULTS The analysis includes six studies with a total of 434 patients. The pooled sensitivity of 18F-FDG PET/CT and 18F-FDG PET/MRI was 0.78 [95% confidence interval (CI): 0.59-0.90] and 0.84 (95% CI: 0.68-0.93), and the pooled specificity was 0.87 (95% CI: 0.72-0.94) and 0.87 (95% CI: 0.80-0.92), respectively. The accuracy of 18F-FDG PET/CT and 18F-FDG PET/MRI was 0.81 (95% CI: 0.71-0.90) and 0.84 (95% CI: 0.75-0.92), respectively. When the pre-test probability was set at 50%, the post-test probability for 18F-FDG PET/CT could increase to 85%, and the post-test probability for 18F-FDG PET/MRI could increase to 87%. CONCLUSION 18F-FDG PET/CT and 18F-FDG PET/MRI have similar diagnostic performance in detecting lymph node metastasis in NSCLC. However, the results of this study were from a small sample study, and further studies with larger sample sizes are needed.
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Affiliation(s)
- Min Zhang
- Lanzhou University, The First Clinical Medical College, Lanzhou, China
| | - Zhikang Liu
- Lanzhou University, The First Clinical Medical College, Lanzhou, China
| | - Yuhang Yuan
- Lanzhou University, The First Clinical Medical College, Lanzhou, China
| | - Wenwen Yang
- Lanzhou University, The First Clinical Medical College, Lanzhou, China
| | - Xiong Cao
- The First Hospital of Lanzhou University, Department of Thoracic Surgery, Lanzhou, China
- The First Hospital of Lanzhou University, Gansu Province International Cooperation Base for Research and Application of Key Technology of Thoracic Surgery, Lanzhou, China
| | - Minjie Ma
- The First Hospital of Lanzhou University, Department of Thoracic Surgery, Lanzhou, China
- The First Hospital of Lanzhou University, Gansu Province International Cooperation Base for Research and Application of Key Technology of Thoracic Surgery, Lanzhou, China
| | - Biao Han
- The First Hospital of Lanzhou University, Department of Thoracic Surgery, Lanzhou, China
- The First Hospital of Lanzhou University, Gansu Province International Cooperation Base for Research and Application of Key Technology of Thoracic Surgery, Lanzhou, China
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11
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Ma XK, Liu TL, Ren YN, Ma XP, Yao Y, Hou XG, Ding J, Wang F, Huang HF, Zhu H, Yang Z. 124I-labeled anti-CD147 antibody for noninvasive detection of CD147-positive pan-cancers: construction and preclinical studies. Acta Pharmacol Sin 2024; 45:436-448. [PMID: 37749238 PMCID: PMC10789738 DOI: 10.1038/s41401-023-01162-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/29/2023] [Indexed: 09/27/2023]
Abstract
Extracellular matrix metalloproteinase inducer CD147 is a glycoprotein on the cell surface. There is minimal expression of CD147 in normal epithelial and fetal tissues, but it is highly expressed in a number of aggressive tumors. CD147 has been implicated in pan-cancer immunity and progression. With the development of CD147-targeting therapeutic strategy, accurate detection of CD147 expression in tumors and its changes during the therapy is necessary. In this study we constructed a novel radiotracer by labeling the anti-CD147 mAb with radionuclide 124/125I (124/125I-anti-CD147) for noninvasive detection of CD147 expression in pan-cancers, and characterized its physicochemical properties, affinity, metabolic characteristics, biodistribution and immunoPET imaging with 124I-IgG and 18F-FDG as controls. By examining the expression of CD147 in cancer cell lines, we found high CD147 expression in colon cancer cells LS174T, FADU human pharyngeal squamous cancer cells and 22RV1 human prostate cancer cells, and low expression of CD147 in human pancreatic cancer cells ASPC1 and human gastric cancer cells BGC823. 124/125I-anti-CD147 was prepared using N-bromine succinimide (NBS) as oxidant and purified by PD-10 column. Its radiochemical purity (RCP) was over 99% and maintained over 85% in saline or 5% human serum albumin (HSA) for more than 7 d; the RCP of 125I-anti-CD147 in blood was over 90% at 3 h post injection (p.i.) in healthy mice. The Kd value of 125I-anti-CD147 to CD147 protein was 6.344 nM, while that of 125I-IgG was over 100 nM. 125I-anti-CD147 showed much greater uptake in CD147 high-expression cancer cells compared to CD147 low-expression cancer cells. After intravenous injection in healthy mice, 125I-anti-CD147 showed high initial uptake in blood pool and liver, the uptake was decreased with time. The biological half-life of distribution and clearance phases in healthy mice were 0.63 h and 19.60 h, respectively. The effective dose of 124I-anti-CD147 was estimated as 0.104 mSv/MBq. We conducted immunoPET imaging in tumor-bearing mice, and demonstrated a significantly higher tumor-to-muscle ratio of 124I-anti-CD147 compared to that of 124I-IgG and 18F-FDG in CD147 (+) tumors. The expression levels of CD147 in cells and tumors were positively correlated with the maximum standardized uptake value (SUVmax) (P < 0.01). In conclusion, 124/125I-anti-CD147 displays high affinity to CD147, and represents potential for the imaging of CD147-positive tumors. The development of 124I-anti-CD147 may provide new insights into the regulation of tumor microenvironment and formulation of precision diagnosis and treatment programs for tumors.
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Affiliation(s)
- Xiao-Kun Ma
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Te-Li Liu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Ya-Nan Ren
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
- Medical College, Guizhou University, Guiyang, 550025, China
| | - Xiao-Pan Ma
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
- Medical College, Guizhou University, Guiyang, 550025, China
| | - Yuan Yao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Xing-Guo Hou
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jin Ding
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Feng Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Hai-Feng Huang
- Department of Orthopaedics, Guizhou Provincial People's Hospital, Guiyang, 550002, China
| | - Hua Zhu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Zhi Yang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
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12
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Zanon C, Quaia E, Crimì F. Introduction to Special Issue Imaging in Cancer Diagnosis. Tomography 2024; 10:101-104. [PMID: 38250955 PMCID: PMC10820471 DOI: 10.3390/tomography10010009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
Abstract
In the field of oncology, the precision of cancer imaging is the cornerstone of oncological patient care [...].
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Affiliation(s)
| | | | - Filippo Crimì
- Institute of Radiology, Department of Medicine—DIMED, University of Padua, 35128 Padua, Italy; (C.Z.); (E.Q.)
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13
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Mirshahvalad SA, Kohan A, Metser U, Hinzpeter R, Ortega C, Farag A, Veit-Haibach P. Diagnostic performance of whole-body [ 18F]FDG PET/MR in cancer M staging: A systematic review and meta-analysis. Eur Radiol 2024; 34:673-685. [PMID: 37535156 DOI: 10.1007/s00330-023-10009-3] [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: 01/17/2023] [Revised: 05/14/2023] [Accepted: 06/07/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVES To calculate the pooled diagnostic performances of whole-body [18F]FDG PET/MR in M staging of [18F]FDG-avid cancer entities. METHODS A diagnostic meta-analysis was conducted on the [18F]FDG PET/MR in M staging, including studies: (1) evaluated [18F]FDG PET/MR in detecting distant metastasis; (2) compared[ 18F]FDG PET/MR with histopathology, follow-up, or asynchronous multimodality imaging as the reference standard; (3) provided data for the whole-body evaluation; (4) provided adequate data to calculate the meta-analytic performances. Pooled performances were calculated with their confidence interval. In addition, forest plots, SROC curves, and likelihood ratio scatterplots were drawn. All analyses were performed using STATA 16. RESULTS From 52 eligible studies, 2289 patients and 2072 metastases were entered in the meta-analysis. The whole-body pooled sensitivities were 0.95 (95%CI: 0.91-0.97) and 0.97 (95%CI: 0.91-0.99) at the patient and lesion levels, respectively. The pooled specificities were 0.99 (95%CI: 0.97-1.00) and 0.97 (95%CI: 0.90-0.99), respectively. Additionally, subgroup analyses were performed. The calculated pooled sensitivities for lung, gastrointestinal, breast, and gynecological cancers were 0.90, 0.93, 1.00, and 0.97, respectively. The pooled specificities were 1.00, 0.98, 0.97, and 1.00, respectively. Furthermore, the pooled sensitivities for non-small cell lung, colorectal, and cervical cancers were 0.92, 0.96, and 0.86, respectively. The pooled specificities were 1.00, 0.95, and 1.00, respectively. CONCLUSION [18F]FDG PET/MR was a highly accurate modality in M staging in the reported [18F]FDG-avid malignancies. The results showed high sensitivity and specificity in each reviewed malignancy type. Thus, our findings may help clinicians and patients to be confident about the performance of [18F]FDG PET/MR in the clinic. CLINICAL RELEVANCE STATEMENT Although [18F]FDG PET/MR is not a routine imaging technique in current guidelines, mostly due to its availability and logistic issues, our findings might add to the limited evidence regarding its performance, showing a sensitivity of 0.95 and specificity of 0.97. KEY POINTS • The whole-body [18F]FDG PET/MR showed high accuracy in detecting distant metastases at both patient and lesion levels. • The pooled sensitivities were 95% and 97% and pooled specificities were 99% and 97% at patient and lesion levels, respectively. • The results suggested that 18F-FDG PET/MR was a strong modality in the exclusion and confirmation of distant metastases.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
| | - Andres Kohan
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Ur Metser
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Ricarda Hinzpeter
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Claudia Ortega
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Adam Farag
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
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14
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Crimì F, Zanon C, Crimì A, Cabrelle G, Quaia E. New Trends and Advances in MRI and PET Hybrid Imaging in Diagnostics. Diagnostics (Basel) 2023; 13:2936. [PMID: 37761303 PMCID: PMC10528814 DOI: 10.3390/diagnostics13182936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
Imaging holds an irreplaceable role in routine clinical practice [...].
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Affiliation(s)
- Filippo Crimì
- Department of Medicine-DIMED, Institute of Radiology, University of Padova, Via Giustiniani 2, 35128 Padova, Italy; (C.Z.); (G.C.); (E.Q.)
| | - Chiara Zanon
- Department of Medicine-DIMED, Institute of Radiology, University of Padova, Via Giustiniani 2, 35128 Padova, Italy; (C.Z.); (G.C.); (E.Q.)
| | - Alberto Crimì
- Orthopedics and Orthopedic Oncology, Department of Surgery, Oncology and Gastroenterology DiSCOG, University of Padova, Via Giustiniani 2, 35128 Padova, Italy;
| | - Giulio Cabrelle
- Department of Medicine-DIMED, Institute of Radiology, University of Padova, Via Giustiniani 2, 35128 Padova, Italy; (C.Z.); (G.C.); (E.Q.)
| | - Emilio Quaia
- Department of Medicine-DIMED, Institute of Radiology, University of Padova, Via Giustiniani 2, 35128 Padova, Italy; (C.Z.); (G.C.); (E.Q.)
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15
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Gollub MJ, Costello JR, Ernst RD, Lee S, Maheshwari E, Petkovska I, Wasnik AP, Horvat N. A primer on rectal MRI in patients on watch-and-wait treatment for rectal cancer. Abdom Radiol (NY) 2023; 48:2836-2873. [PMID: 37099182 PMCID: PMC11210452 DOI: 10.1007/s00261-023-03900-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/27/2023]
Abstract
Total neoadjuvant treatment (TNT) for rectal cancer is becoming an accepted treatment paradigm and is changing the landscape of this disease, wherein up to 50% of patients who undergo TNT are able to avoid surgery. This places new demands on the radiologist in terms of interpreting degrees of response to treatment. This primer summarizes the Watch-and-Wait approach and the role of imaging, with illustrative "atlas-like" examples as an educational guide for radiologists. We present a brief literature summary of the evolution of rectal cancer treatment, with a focus on magnetic resonance imaging (MRI) assessment of response. We also discuss recommended guidelines and standards. We outline the common TNT approach entering mainstream practice. A heuristic and algorithmic approach to MRI interpretation is also offered. To illustrate management and common scenarios, we arranged the illustrative figures as follows: (I) Clinical complete response (cCR) achieved at the immediate post-TNT "decision point" scan time; (II) cCR achieved at some point during surveillance, later than the first post-TNT MRI; (III) near clinical complete response (nCR); (IV) incomplete clinical response (iCR); (V) discordant findings between MRI and endoscopy where MRI is falsely positive, even at follow-up; (VI) discordant cases where MRI seems to be falsely positive but is proven truly positive on follow-up endoscopy; (VII) cases where MRI is falsely negative; (VIII) regrowth of tumor in the primary tumor bed; (IX) regrowth outside the primary tumor bed; and (X) challenging scenarios, i.e., mucinous cases. This primer is offered to achieve its intended goal of educating radiologists on how to interpret MRI in patients with rectal cancer undergoing treatment using a TNT-type treatment paradigm and a Watch-and-Wait approach.
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Affiliation(s)
- Marc J Gollub
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| | - James R Costello
- Department of Diagnostic Imaging and Intervention, Motiff Cancer Center, Tampa, FL, 33612, USA
| | - Randy D Ernst
- Division of Diagnostic Imaging, Department of Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Sonia Lee
- Department of Radiology, University of California, Irvine, Orange, CA, 92868, USA
| | - Ekta Maheshwari
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Ashish P Wasnik
- Department of Radiology, University of MI-Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
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16
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Pepe A, Crimì F, Vernuccio F, Cabrelle G, Lupi A, Zanon C, Gambato S, Perazzolo A, Quaia E. Medical Radiology: Current Progress. Diagnostics (Basel) 2023; 13:2439. [PMID: 37510183 PMCID: PMC10378672 DOI: 10.3390/diagnostics13142439] [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: 06/12/2023] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, a compressive review was focused on addressing how and why CT and MR have gained a I class indication in most cardiovascular diseases, and the potential impact of tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging using diffusion-weighted MRI sequences for identifying residual disease after neoadjuvant chemoradiotherapy and [18F] FDG PET/MRI were provided for high-resolution anatomical and functional data in oncological patients. The results present a large overview of the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for patient risk stratification. Italy is currently riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for patient-centered precision medicine using artificial intelligence. Dedicated radiologists with specific training and a close relationship with the referring clinicians will be essential human factors.
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Affiliation(s)
- Alessia Pepe
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Filippo Crimì
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Federica Vernuccio
- Department of Radiology, University Hospital of Padua, 35128 Padua, Italy
| | - Giulio Cabrelle
- Department of Radiology, University Hospital of Padua, 35128 Padua, Italy
| | - Amalia Lupi
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Chiara Zanon
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Sebastiano Gambato
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Anna Perazzolo
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
- Institute of Radiology, Department of Medicine, Azienda Ospedaliero-Universitaria Santa Maria della Misericordia, University of Udine, 33100 Udine, Italy
| | - Emilio Quaia
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
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17
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Cuicchi D, Castagna G, Cardelli S, Larotonda C, Petrello B, Poggioli G. Restaging rectal cancer following neoadjuvant chemoradiotherapy. World J Gastrointest Oncol 2023; 15:700-712. [PMID: 37275455 PMCID: PMC10237020 DOI: 10.4251/wjgo.v15.i5.700] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/01/2023] [Accepted: 03/29/2023] [Indexed: 05/12/2023] Open
Abstract
Correct tumour restaging is pivotal for identifying the most personalised surgical treatment for patients with locally advanced rectal cancer undergoing neoadjuvant therapy, and works to avoid both poor oncological outcome and overtreatment. Digital rectal examination, endoscopy, and pelvic magnetic resonance imaging are the recommended modalities for local tumour restaging, while chest and abdominal computed tomography are utilised for the assessment of distant disease. The optimal length of time between neoadjuvant treatment and restaging, in terms of both oncological safety and clinical effectiveness of treatment, remains unclear, especially for patients receiving prolonged total neoadjuvant therapy. The timely identification of patients who are radioresistant and at risk of disease progression remains challenging.
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Affiliation(s)
- Dajana Cuicchi
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Giovanni Castagna
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Stefano Cardelli
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Cristina Larotonda
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Benedetta Petrello
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Gilberto Poggioli
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
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18
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Ren Q, Chen Y, Shao X, Guo L, Xu X. Lymph nodes primary staging of colorectal cancer in 18F-FDG PET/MRI: a systematic review and meta-analysis. Eur J Med Res 2023; 28:162. [PMID: 37143144 PMCID: PMC10157899 DOI: 10.1186/s40001-023-01124-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 04/23/2023] [Indexed: 05/06/2023] Open
Abstract
OBJECTIVE To assess the diagnostic efficacy of 18F-FDG PET/MRI for lymph node (LN) metastasis primary staging in patients with colorectal cancer (CRC). METHODS This study was conducted and reported in accordance with the PRISMA-DTA statement. Electronic databases (PubMed, Embase, Cochrane Library) were searched for studies on 18F-FDG PET/MRI for diagnosing LN metastasis. The pooled sensitivity (SEN), specificity (SPE), and area under the curve (AUC) were applied to assess the diagnostic performance. Heterogeneity was identified and processed using meta-regression and sensitivity analysis. All data analyses were performed via STATA 15 and Meta-Disc 1.4 software. RESULTS There were finally 7 studies included, involving a total of 184 patients. The Spearman rank correlation coefficient was 0.108 (P = 0.818), with no threshold-effect observed. The pooled SEN was 0.81 (95%CI 0.66-0.90) and the SPE was 0.89 (95% CI 0.73-0.96). In sub-groups, prospective groups demonstrated to have the highest SEN of 0.92 (95%CI 0.79-1.00). The studies conducted by Catalano et al. and Kang et al. were considered to be potential sources of heterogeneity. CONCLUSION 18F-FDG PET/MRI has shown remarkable diagnostic performance in identification of LN metastases in newly diagnosed CRC patients. It would be of great application value for the primary staging of CRC lymph node metastases.
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Affiliation(s)
- Qingwei Ren
- Department of Gastroenterology, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China
| | - Yanyan Chen
- Department of Medical Oncology, Dongyang Women & Children Hospital, No. 40, Wuning East Road, Dongyang, 322100, China.
| | - Xuejun Shao
- Department of Gastroenterology, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China
| | - Lanzhong Guo
- Department of Medical Oncology, Dongyang Women & Children Hospital, No. 40, Wuning East Road, Dongyang, 322100, China
| | - Xinxin Xu
- Department of Gastroenterology, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China
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19
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Wan L, Hu J, Chen S, Zhao R, Peng W, Liu Y, Hu S, Zou S, Wang S, Zhao X, Zhang H. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning. Eur Radiol 2023; 33:3638-3646. [PMID: 36905470 DOI: 10.1007/s00330-023-09450-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/01/2022] [Accepted: 02/03/2023] [Indexed: 03/12/2023]
Abstract
OBJECTIVES This study aimed to investigate whether a deep learning (DL) model based on preoperative MR images of primary tumors can predict lymph node metastasis (LNM) in patients with stage T1-2 rectal cancer. METHODS In this retrospective study, patients with stage T1-2 rectal cancer who underwent preoperative MRI between October 2013 and March 2021 were included and assigned to the training, validation, and test sets. Four two-dimensional and three-dimensional (3D) residual networks (ResNet18, ResNet50, ResNet101, and ResNet152) were trained and tested on T2-weighted images to identify patients with LNM. Three radiologists independently assessed LN status on MRI, and diagnostic outcomes were compared with the DL model. Predictive performance was assessed with AUC and compared using the Delong method. RESULTS In total, 611 patients were evaluated (444 training, 81 validation, and 86 test). The AUCs of the eight DL models ranged from 0.80 (95% confidence interval [CI]: 0.75, 0.85) to 0.89 (95% CI: 0.85, 0.92) in the training set and from 0.77 (95% CI: 0.62, 0.92) to 0.89 (95% CI: 0.76, 1.00) in the validation set. The ResNet101 model based on 3D network architecture achieved the best performance in predicting LNM in the test set, with an AUC of 0.79 (95% CI: 0.70, 0.89) that was significantly greater than that of the pooled readers (AUC, 0.54 [95% CI: 0.48, 0.60]; p < 0.001). CONCLUSION The DL model based on preoperative MR images of primary tumors outperformed radiologists in predicting LNM in patients with stage T1-2 rectal cancer. KEY POINTS • Deep learning (DL) models with different network frameworks showed different diagnostic performance for predicting lymph node metastasis (LNM) in patients with stage T1-2 rectal cancer. • The ResNet101 model based on 3D network architecture achieved the best performance in predicting LNM in the test set. • The DL model based on preoperative MR images outperformed radiologists in predicting LNM in patients with stage T1-2 rectal cancer.
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Affiliation(s)
- Lijuan Wan
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jiesi Hu
- Department of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, #1 Tongji South Road, Beijing, 100176, China
- Harbin Institute of Technology, 518000, Shenzhen, China
| | - Shuang Chen
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Rui Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Wenjing Peng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yuan Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shangying Hu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shuangmei Zou
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sicong Wang
- Department of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, #1 Tongji South Road, Beijing, 100176, China
| | - Xinming Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Hongmei Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Chen MZ, Zhang X, Mui M, Kong JCH, Heriot AG, Ellis-Clark J. Retrospective audit: Utility of PET scan in routine preoperative rectal cancer staging. ANZ J Surg 2023; 93:617-621. [PMID: 36117452 DOI: 10.1111/ans.18058] [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: 08/06/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Accurate staging for rectal cancer is pertinent with recent introduction of rectum-sparing approaches for patients showing complete clinical response on restaging. Positron emission tomography(PET) is used in detection of recurrence or metastasis, but its value in routine preoperative rectal cancer staging remains unclear. Studies report that preoperative PET altered the stage in 39% and changed the management in 17-27% of patients. Our study aims to look at the utility of PET in routine preoperative staging of rectal cancer within 2 two colorectal units, and to determine if PET did result in a change in management. METHODS Patients in Nepean Hospital (NSW) and Peter MacCallum Cancer Centre (VIC) who were diagnosed with rectal cancer between 1 January 2017 and 31 December 2021 were included in this retrospective study. All patients who did not have a PET scan were excluded. PET scan results were then compared with MRI and CT results. RESULTS Three hundred and fifty-seven patients were included in the study. 30.3% of the patients had Stage 3 rectal cancer. 71.7% received neoadjuvant therapy. PET scan provided additional information in 55.5% of patients when compared with CT and MRI alone; 18.2% of the PET findings resulted in an altered management for the patient. CONCLUSION PET scan can be a valuable tool in accurate staging, especially for ambiguous or equivocal lesions on CT. Our study demonstrated that additional information from PET scan resulted in an altered management plan in 18.2% of the patients. PET/MRI as a newer modality may be more accurate with reduced radiation exposure.
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Affiliation(s)
- Michelle Zhiyun Chen
- Department of Colorectal Surgery, Nepean Hospital, Kingswood, New South Wales, Australia
| | - Xinyi Zhang
- Department of Colorectal Surgery, Nepean Hospital, Kingswood, New South Wales, Australia
| | - Milton Mui
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Joseph C H Kong
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Department of Surgery, Central Clinical School, Monash University, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Alexander G Heriot
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Jodie Ellis-Clark
- Department of Colorectal Surgery, Nepean Hospital, Kingswood, New South Wales, Australia
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Clinical value of fluorine-18-fluorodeoxyglucose PET/MRI for liver metastasis in colorectal cancer: a prospective study. Nucl Med Commun 2023; 44:150-160. [PMID: 36630219 DOI: 10.1097/mnm.0000000000001651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE To evaluate the diagnostic performance of liver 18F-FDG PET/MRI in addition to whole-body PET/CT and to compare it with MRI in the detection and clinical management of liver metastasis in patients with colorectal cancer (CRC). MATERIAL AND METHODS Seventy-eight patients with CRC who underwent whole-body 18F-FDG PET/CT followed by liver PET/MRI were prospectively included. Histopathological confirmation and/or at least 3 months of clinical follow-up after PET/MRI were accepted as gold standard. Lesion and patient-based analyses were performed to evaluate the diagnostics performances of PET/CT, PET/MRI and MRI. In addition, changes of clinical management were evaluated. RESULTS On lesion-based analysis, for PET/CT, PET/MRI and MRI; sensitivity (Se): 55.6%, 97.2% and 100%; specificity (Sp): 98.5%, 100% and 80.5%; and accuracy (Acc): 70.7%, 98.2% and 93.1% were calculated, respectively. Se and Acc of PET/MRI and MRI were significantly superior than PET/CT (P < 0.001). Se and Acc of PET/MRI and MRI were comparable; however, Sp of PET/MRI was significantly better than MRI (P < 0.001). On patient-based analysis, Se: 75.6%, 100% and 100%; Sp: 97.3%, 100% and 86.5%; and Acc: 85.9%, 100% and 93.5% were calculated, respectively. Se and Acc of PET/MRI were significantly superior than PET/CT (P < 0.001). Also, Se of MRI was significantly superior than PET/CT (P < 0.001). Se of PET/MRI and MRI were comparable, but Sp and Acc of PET/MRI were significantly better than MRI. The additional information obtained from liver PET/MRI changed treatment strategy in 14/78 (18%) patients compared to PET/CT or alone liver MRI. CONCLUSION Diagnostic performances of PET/MRI and MRI for detection of CRC liver metastasis is superior to PET/CT. PET/MRI especially helps in the accurate detection of liver metastases that are suspicious on MRI and has the potential to change the clinical management of especially oligometastatic patients by identifying uncertain liver lesions.
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Horvat N, El Homsi M, Miranda J, Mazaheri Y, Gollub MJ, Paroder V. Rectal MRI Interpretation After Neoadjuvant Therapy. J Magn Reson Imaging 2023; 57:353-369. [PMID: 36073323 PMCID: PMC9851947 DOI: 10.1002/jmri.28426] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 02/01/2023] Open
Abstract
In recent years, several key advances in the management of locally advanced rectal cancer have been made, including the implementation of total mesorectal excision as the standard surgical approach; use of neoadjuvant chemoradiotherapy in selected patients with a high risk of local recurrence, and finally, adoption of organ preservation strategies, through either local excision or nonoperative management in selected patients with clinical complete response following neoadjuvant chemoradiotherapy. This review aims to shed light on the role of rectal MRI in the assessment of treatment response after neoadjuvant therapy, which is especially important given the growing feasibility of nonoperative management. First, an overview of current neoadjuvant therapies and response assessment based on digital rectal examination, endoscopy, and MRI will be provided. Second, the use of a high-quality restaging rectal MRI protocol will be presented. Third, a step-by-step approach to assessing treatment response on restaging rectal MRI following neoadjuvant treatment will be outlined, acknowledging challenges faced by radiologists during MRI interpretation. Finally, research related to response assessment will be discussed. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joao Miranda
- Department of Radiology, University of Sao Paulo, Sao Paulo, Brazil
| | - Yousef Mazaheri
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc J. Gollub
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viktoriya Paroder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Spolverato G, Crimì F, Pucciarelli S. Imaging for guiding a more tailored approach in rectal cancer patients. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:811. [PMID: 36035009 PMCID: PMC9403946 DOI: 10.21037/atm-22-3498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/20/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Gaya Spolverato
- General Surgery 3, Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy
| | - Filippo Crimì
- Institute of Radiology, Department of Medicine-DIMED, University of Padova, Padova, Italy
| | - Salvatore Pucciarelli
- General Surgery 3, Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy
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Diagnostic performance of [ 18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 2022; 49:4205-4217. [PMID: 35705874 DOI: 10.1007/s00259-022-05871-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/09/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE To calculate the diagnostic performance of [18F]-FDG PET/MR in colorectal cancer (CRC). METHODS This study was designed following the PRISMA-DTA guidelines. To be included, published original articles (until December 31, 2021) that met the following criteria were considered eligible: (1) evaluated [18F]-FDG PET/MR as the diagnostic method to detect CRC; (2) compared [18F]-FDG PET/MR with histopathology as the reference standard, or clinical/imaging composite follow-up when pathology was not available; (3) provided adequate crude data for meta-analysis. The diagnostic pooled measurements were calculated at patient and lesion levels. Regarding sub-group analysis, diagnostic measurements were calculated in "TNM staging," "T staging," "N staging," "M staging," and "liver metastasis" sub-groups. Additionally, we calculated the pooled performances in "rectal cancer: patient-level" and "rectal cancer: lesion-level" sub-groups. A hierarchical method was used to pool the performances. The bivariate model was conducted to find the summary points. Analyses were performed using STATA 16. RESULTS A total of 1534 patients from 18 studies were entered. The pooled sensitivities in CRC lesion detection (tumor, lymph nodes, and metastases) were 0.94 (95%CI: 0.89-0.97) and 0.93 (95%CI: 0.82-0.98) at patient-level and lesion-level, respectively. The pooled specificities were 0.89 (95%CI: 0.84-0.93) and 0.95 (95%CI: 0.90-0.98) at patient-level and lesion-level, respectively. In sub-groups, the highest sensitivity (0.97, 95%CI: 0.86-0.99) and specificity (0.99, 95%CI: 0.84-1.00) were calculated for "M staging" and "rectal cancer: lesion-level," respectively. The lowest sensitivity (0.81, 95%CI: 0.65-0.91) and specificity (0.79, 95%CI: 0.52-0.93) were calculated for "N staging" and "T staging," respectively. CONCLUSION This meta-analysis showed an overall high diagnostic performance for [18F]-FDG PET/MR in detecting CRC lesions/metastases. Thus, this modality can play a significant role in several clinical scenarios in CRC staging and restaging. Specifically, one of the main strengths of this modality is ruling out the existence of CRC lesions/metastases. Finally, the overall diagnostic performance was not found to be affected in the post-treatment setting.
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Crimì F, Vernuccio F, Cabrelle G, Zanon C, Pepe A, Quaia E. Tumor Diagnosis and Treatment: Imaging Assessment. Tomography 2022; 8:1463-1465. [PMID: 35736866 PMCID: PMC9227109 DOI: 10.3390/tomography8030118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 05/26/2022] [Indexed: 12/05/2022] Open
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Peserico A, Di Berardino C, Russo V, Capacchietti G, Di Giacinto O, Canciello A, Camerano Spelta Rapini C, Barboni B. Nanotechnology-Assisted Cell Tracking. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:1414. [PMID: 35564123 PMCID: PMC9103829 DOI: 10.3390/nano12091414] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 02/06/2023]
Abstract
The usefulness of nanoparticles (NPs) in the diagnostic and/or therapeutic sector is derived from their aptitude for navigating intra- and extracellular barriers successfully and to be spatiotemporally targeted. In this context, the optimization of NP delivery platforms is technologically related to the exploitation of the mechanisms involved in the NP-cell interaction. This review provides a detailed overview of the available technologies focusing on cell-NP interaction/detection by describing their applications in the fields of cancer and regenerative medicine. Specifically, a literature survey has been performed to analyze the key nanocarrier-impacting elements, such as NP typology and functionalization, the ability to tune cell interaction mechanisms under in vitro and in vivo conditions by framing, and at the same time, the imaging devices supporting NP delivery assessment, and consideration of their specificity and sensitivity. Although the large amount of literature information on the designs and applications of cell membrane-coated NPs has reached the extent at which it could be considered a mature branch of nanomedicine ready to be translated to the clinic, the technology applied to the biomimetic functionalization strategy of the design of NPs for directing cell labelling and intracellular retention appears less advanced. These approaches, if properly scaled up, will present diverse biomedical applications and make a positive impact on human health.
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Affiliation(s)
- Alessia Peserico
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100 Teramo, Italy; (C.D.B.); (V.R.); (G.C.); (O.D.G.); (A.C.); (C.C.S.R.); (B.B.)
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Queiroz MA, Ortega CD, Ferreira FR, Capareli FC, Nahas SC, Cerri GG, Buchpiguel CA. Value of Primary Rectal Tumor PET/MRI in the Prediction of Synchronic Metastatic Disease. Mol Imaging Biol 2021; 24:453-463. [PMID: 34755248 DOI: 10.1007/s11307-021-01674-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 10/19/2021] [Accepted: 10/20/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE To analyze the associations between positron emission tomography (PET)/magnetic resonance imaging (MRI) features for primary rectal tumors and metastases. PROCEDURES Between November 2016 and April 2018, 101 patients with rectal adenocarcinoma were included in this prospective study (NCT02537340) for whole-body PET/MRI for baseline staging. Two readers analyzed the PET/MRI; they assessed the semiquantitative PET features of the primary tumor and the N- and M-stages. Another reader analyzed the MRI features for locoregional staging. The reference standard for confirming metastatic disease was biopsy or imaging follow-up. Non-parametric tests were used to compare the PET/MRI features of the participants with or without metastatic disease. Binary logistic regression was used to evaluate the associations between the primary tumor PET/MRI features and metastatic disease. RESULTS A total of 101 consecutive participants (median age 62 years; range: 33-87 years) were included. Metastases were detected in 35.6% (36 of 101) of the participants. Among the PET/MRI features, higher tumor lesion glycolysis (352.95 vs 242.70; P = .46) and metabolic tumor volume (36.15 vs 26.20; P = .03) were more frequent in patients with than in those without metastases. Additionally, patients with metastases had a higher incidence of PET-positive (64% vs 32%; P = .009) and MRI-positive (56% vs 32%; P = .03) mesorectal lymph nodes, extramural vascular invasion (86% vs 49%; P > .001), and involvement of mesorectal fascia (64% vs 42%; P = .04); there were also differences between the mrT stages of these two groups (P = .008). No differences in the maximum standardized uptake values for the primary tumors in patients with and without metastases were observed (18.9 vs 19.1; P = .56). Multivariable logistic regression showed that extramural vascular invasion on MRI was the only significant predictor (adjusted odds ratio, 3.8 [95% CI: 1.1, 13.9]; P = .001). CONCLUSION PET/MRI facilitated the identification of participants with a high risk of metastatic disease, though these findings were based mainly on MRI features.
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Affiliation(s)
- Marcelo A Queiroz
- Nuclear Medicine Division, Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Rua Doutor Ovidio Pires de Campos, 872, Sao Paulo, SP, 05403-010, Brazil.
| | - Cinthia D Ortega
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Felipe R Ferreira
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Fernanda C Capareli
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Sergio C Nahas
- Department of Surgery, Division of Colorectal Surgery, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Giovanni G Cerri
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Carlos A Buchpiguel
- Nuclear Medicine Division, Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Rua Doutor Ovidio Pires de Campos, 872, Sao Paulo, SP, 05403-010, Brazil
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Kokaine L, Gardovskis A, Gardovskis J. Evaluation and Predictive Factors of Complete Response in Rectal Cancer after Neoadjuvant Chemoradiation Therapy. ACTA ACUST UNITED AC 2021; 57:medicina57101044. [PMID: 34684080 PMCID: PMC8537499 DOI: 10.3390/medicina57101044] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/16/2021] [Accepted: 09/23/2021] [Indexed: 12/18/2022]
Abstract
The response to neoadjuvant chemoradiation therapy is an important prognostic factor for locally advanced rectal cancer. Although the majority of the patients after neoadjuvant therapy are referred to following surgery, the clinical data show that complete clinical or pathological response is found in a significant proportion of the patients. Diagnostic accuracy of confirming the complete response has a crucial role in further management of a rectal cancer patient. As the rate of clinical complete response, unfortunately, is not always consistent with pathological complete response, accurate diagnostic parameters and predictive markers of tumor response may help to guide more personalized treatment strategies and identify potential candidates for nonoperative management more safely. The management of complete response demands interdisciplinary collaboration including oncologists, radiotherapists, radiologists, pathologists, endoscopists and surgeons, because the absence of a multidisciplinary approach may compromise the oncological outcome. Prediction and improvement of rectal cancer response to neoadjuvant therapy is still an active and challenging field of further research. This literature review is summarizing the main, currently known clinical information about the complete response that could be useful in case if encountering such condition in rectal cancer patients after neoadjuvant chemoradiation therapy, using as a source PubMed publications from 2010–2021 matching the search terms “rectal cancer”, “neoadjuvant therapy” and “response”.
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Affiliation(s)
- Linda Kokaine
- Department of Surgery, Riga Stradins University, Dzirciema Street 16, LV-1007 Riga, Latvia; or
- Pauls Stradins Clinical University Hospital, Pilsoņu Street 13, LV-1002 Riga, Latvia
- Correspondence: (L.K.); (J.G.); Tel.: +371-2635-9472 (L.K.)
| | - Andris Gardovskis
- Department of Surgery, Riga Stradins University, Dzirciema Street 16, LV-1007 Riga, Latvia; or
- Pauls Stradins Clinical University Hospital, Pilsoņu Street 13, LV-1002 Riga, Latvia
| | - Jānis Gardovskis
- Department of Surgery, Riga Stradins University, Dzirciema Street 16, LV-1007 Riga, Latvia; or
- Pauls Stradins Clinical University Hospital, Pilsoņu Street 13, LV-1002 Riga, Latvia
- Correspondence: (L.K.); (J.G.); Tel.: +371-2635-9472 (L.K.)
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