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Lee W, Park HJ, Lee YN, Sung MK, Hong K, Park Y, Song KB, Lee JH, Hwang DW, Kim HJ, Hong SM, Kim SC. Computed tomography-based vascular burden index as a predictor of vascular resection and pathological vascular invasion in pancreatic cancer with neo-adjuvant chemotherapy. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:108494. [PMID: 38968855 DOI: 10.1016/j.ejso.2024.108494] [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: 04/01/2024] [Revised: 05/20/2024] [Accepted: 06/17/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND Determination of vessel resection in patients with pancreatectomy after neo-adjuvant chemotherapy remains controversial. The recently introduced computed tomography-based vascular burden index presents a potential solution to this challenge. This study aimed to evaluate the model performance for the prediction of vascular resection and pathological invasion. METHODS Patients who underwent surgery after neo-adjuvant chemotherapy were included. Two independent reviewers measured the vascular tumour burden index around the adjacent artery (AVBI), and vein (VVBI). The area under the curve was compared to assess the predictive capacity of vascular burden index values and their changes for vascular resection and pathological vascular invasion. RESULTS Among 252 patients, 179 and 73 had borderline resectable and locally advanced pancreatic cancer, respectively. Concurrent vessel resection and pathological vascular invasion were observed in 121 (48.0 %) and 42 (16.6 %) patients, respectively. In all patients, the VVBI (area under the curve: 0.872) and AVBI (0.911) after neo-adjuvant therapy significantly predicted vessel resection. In patients with vascular resection, the VVBI after neo-adjuvant chemotherapy (0.752) and delta value of the AVBI (0.706) demonstrated better performance for predicting pathological invasion of the resected vein. The regression of the AVBI and VVBI was an independent prognostic factor for survival (hazard ratio: 0.54, 95 % confidence interval: 0.34-0.85; P = 0.009) CONCLUSIONS: Regressed VVBI on serial computed tomography scans is useful for predicting vein resection and pathological venous invasion before surgery. The delta value of the AVBI may therefore be helpful for predicting pathological arterial invasion after neo-adjuvant chemotherapy.
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Affiliation(s)
- Woohyung Lee
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Hyo Jung Park
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yoo Na Lee
- Department of Surgery, Haeundae Paik Hospital, Inje University, Busan, Republic of Korea
| | - Min Kyu Sung
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Kwangpyo Hong
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Yejong Park
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Ki Byung Song
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Hoon Lee
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Dae Wook Hwang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Hyoung Jung Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seung-Mo Hong
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Song Cheol Kim
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
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Bilreiro C, Andrade L, Santiago I, Marques RM, Matos C. Imaging of pancreatic ductal adenocarcinoma - An update for all stages of patient management. Eur J Radiol Open 2024; 12:100553. [PMID: 38357385 PMCID: PMC10864763 DOI: 10.1016/j.ejro.2024.100553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/16/2024] Open
Abstract
Background Pancreatic ductal adenocarcinoma (PDAC) is a common and lethal cancer. From diagnosis to disease staging, response to neoadjuvant therapy assessment and patient surveillance after resection, imaging plays a central role, guiding the multidisciplinary team in decision-planning. Review aims and findings This review discusses the most up-to-date imaging recommendations, typical and atypical findings, and issues related to each step of patient management. Example cases for each relevant condition are presented, and a structured report for disease staging is suggested. Conclusion Despite current issues in PDAC imaging at different stages of patient management, the radiologist is essential in the multidisciplinary team, as the conveyor of relevant imaging findings crucial for patient care.
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Affiliation(s)
- Carlos Bilreiro
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Luísa Andrade
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Inês Santiago
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Rui Mateus Marques
- Nova Medical School, Lisbon, Portugal
- Radiology Department, Hospital de S. José, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
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3
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Bilreiro C, Andrade L, Marques RM, Matos C. Diffusion-weighted imaging for determining response to neoadjuvant therapy in pancreatic cancer: a systematic review and meta-analysis. Eur Radiol 2024; 34:3238-3248. [PMID: 37907761 PMCID: PMC11126427 DOI: 10.1007/s00330-023-10381-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/15/2023] [Accepted: 10/11/2023] [Indexed: 11/02/2023]
Abstract
OBJECTIVES To determine the role of diffusion-weighted imaging (DWI) for predicting response to neoadjuvant therapy (NAT) in pancreatic cancer. MATERIALS AND METHODS MEDLINE, EMBASE, and Cochrane Library databases were searched for studies evaluating the performance of apparent diffusion coefficient (ADC) to assess response to NAT. Data extracted included ADC pre- and post-NAT, for predicting response as defined by imaging, histopathology, or clinical reference standards. ADC values were compared with standardized mean differences. Risk of bias was assessed using the Quality Assessment of Diagnostic Studies (QUADAS-2). RESULTS Of 337 studies, 7 were included in the analysis (161 patients). ADC values reported for the pre- and post-NAT assessments overlapped between responders and non-responders. One study reported inability of ADC increase after NAT for distinguishing responders and non-responders. A correlation with histopathological response was reported for pre- and post-NAT ADC in 4 studies. DWI's diagnostic performance was reported to be high in three studies, with a 91.6-100% sensitivity and 62.5-94.7% specificity. Finally, heterogeneity and high risk of bias were identified across studies, affecting the domains of patient selection, index test, reference standard, and flow and timing. CONCLUSION DWI might be useful for determining response to NAT in pancreatic cancer. However, there are still too few studies on this matter, which are also heterogeneous and at high risk for bias. Further studies with standardized procedures for data acquisition and accurate reference standards are needed. CLINICAL RELEVANCE STATEMENT Diffusion-weighted MRI might be useful for assessing response to neoadjuvant therapy in pancreatic cancer. However, further studies with robust data are needed to provide specific recommendations for clinical practice. KEY POINTS •The role of DWI with ADC measurements for assessing response to neoadjuvant therapy in pancreatic cancer is still unclear. •Pre- and post-neoadjuvant therapy ADC values overlap between responders and non-responders. •DWI has a reported high diagnostic performance for determining response when using histopathological or clinical reference standards; however, studies are still few and at high risk for bias.
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Affiliation(s)
- Carlos Bilreiro
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal.
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
- Nova Medical School, Lisbon, Portugal.
| | - Luísa Andrade
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Rui Mateus Marques
- Nova Medical School, Lisbon, Portugal
- Radiology Department, Hospital de S. José, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
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4
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Fukukura Y, Kanki A. Quantitative Magnetic Resonance Imaging for the Pancreas: Current Status. Invest Radiol 2024; 59:69-77. [PMID: 37433065 DOI: 10.1097/rli.0000000000001002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
ABSTRACT Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical landmarks play a major role in the interpretation of results. Quantitative MRI is an effective diagnostic modality for various pathologic conditions, as it allows the investigation of various physical parameters. Recent advancements in quantitative MRI techniques have significantly improved the accuracy of pancreatic MRI. Consequently, this method has become an essential tool for the diagnosis, treatment, and monitoring of pancreatic diseases. This comprehensive review article presents the currently available evidence on the clinical utility of quantitative MRI of the pancreas.
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Affiliation(s)
- Yoshihiko Fukukura
- From the Department of Radiology, Kawasaki Medical School, Kurashiki City, Okayama, Japan
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5
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Del Chiaro M, Sugawara T, Karam SD, Messersmith WA. Advances in the management of pancreatic cancer. BMJ 2023; 383:e073995. [PMID: 38164628 DOI: 10.1136/bmj-2022-073995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Pancreatic cancer remains among the malignancies with the worst outcomes. Survival has been improving, but at a slower rate than other cancers. Multimodal treatment, including chemotherapy, surgical resection, and radiotherapy, has been under investigation for many years. Because of the anatomical characteristics of the pancreas, more emphasis on treatment selection has been placed on local extension into major vessels. Recently, the development of more effective treatment regimens has opened up new treatment strategies, but urgent research questions have also become apparent. This review outlines the current management of pancreatic cancer, and the recent advances in its treatment. The review discusses future treatment pathways aimed at integrating novel findings of translational and clinical research.
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Affiliation(s)
- Marco Del Chiaro
- Division of Surgical Oncology, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA
- University of Colorado Cancer Center, University of Colorado School of Medicine, Aurora, CO, USA
| | - Toshitaka Sugawara
- Division of Surgical Oncology, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Sana D Karam
- University of Colorado Cancer Center, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Wells A Messersmith
- University of Colorado Cancer Center, University of Colorado School of Medicine, Aurora, CO, USA
- Division of Medical Oncology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
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6
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Bao X, Bian D, Yang X, Wang Z, Shang M, Jiang G, Shi J. Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer. Eur Radiol 2023; 33:9182-9193. [PMID: 37382618 DOI: 10.1007/s00330-023-09813-8] [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: 11/14/2022] [Revised: 03/26/2023] [Accepted: 03/28/2023] [Indexed: 06/30/2023]
Abstract
OBJECTIVES This study aimed to explore the predictive value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and diffusion kurtosis imaging (DKI) quantitative parameters for the response to neoadjuvant chemo-immunotherapy (NCIT) in resectable non-small-cell lung cancer (NSCLC) patients, so as to provide a basis for clinical individualized precision treatment. METHODS Treatment naive locally advanced NSCLC patients who enrolled in 3 prospective, open-label, and single-arm clinical trials and received NCIT were retrospectively analyzed in this study. Functional MRI imaging was performed at baseline and following 3 weeks of treatment as an exploratory endpoint to evaluate treatment efficacy. Univariate and multivariate logistic regressions were used to identify independent predictive parameters for NCIT response. Prediction models were built with statistically significant quantitative parameters and their combinations. RESULTS In total of 32 patients, 13 were classified as complete pathological response (pCR) and 19 were non-pCR. Post-NCIT ADC, ΔADC, and ΔD values in the pCR group were significantly higher than those in the non-pCR group, while the pre-NCIT D, post-NCIT Kapp, and ΔKapp were significantly lower than those in non-pCR group. Multivariate logistic regression analysis demonstrated that pre-NCIT D and post-NCIT Kapp values were independent predictors for NCIT response. The combined predictive model, which consisted of IVIM-DWI and DKI, showed the best prediction performance with AUC of 0.889. CONCLUSIONS The pre-NCIT D, post-NCIT parameters (ADC and Kapp) and Δ parameters (ΔADC, ΔD, and ΔKapp) were effective biomarkers for predicting pathologic response, and pre-NCIT D and post-NCIT Kapp values were independent predictors of NCIT response for NSCLC patients. CLINICAL RELEVANCE STATEMENT This exploratory study indicated that IVIM-DWI and DKI MRI imaging would predict pathologic response of neoadjuvant chemo-immunotherapy in locally advanced NSCLC patients at initial state and early treatment, which could help make clinical individualized treatment strategies. KEY POINTS • Effective NCIT treatment resulted in increased ADC and D values for NSCLC patients. • The residual tumors in non-pCR group tend to have higher microstructural complexity and heterogeneity, as measured by Kapp. • Pre-NCIT D and post-NCIT Kapp values were independent predictors of NCIT response.
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Affiliation(s)
- Xiao Bao
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Xing Yang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Zheming Wang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Mingdong Shang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
| | - Jingyun Shi
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
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7
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Stoop TF, van Veldhuisen E, van Rijssen LB, Klaassen R, Gurney-Champion OJ, de Hingh IH, Busch OR, van Laarhoven HWM, van Lienden KP, Stoker J, Wilmink JW, Nio CY, Nederveen AJ, Engelbrecht MRW, Besselink MG. Added value of 3T MRI and the MRI-halo sign in assessing resectability of locally advanced pancreatic cancer following induction chemotherapy (IMAGE-MRI): prospective pilot study. Langenbecks Arch Surg 2022; 407:3487-3499. [PMID: 36242618 DOI: 10.1007/s00423-022-02653-y] [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: 05/24/2022] [Accepted: 08/13/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Restaging of locally advanced pancreatic cancer (LAPC) after induction chemotherapy using contrast-enhanced computed tomography (CE-CT) imaging is imprecise in evaluating local tumor response. This study explored the value of 3 Tesla (3 T) contrast-enhanced (CE) and diffusion-weighted (DWI) magnetic resonance imaging (MRI) for local tumor restaging. METHODS This is a prospective pilot study including 20 consecutive patients with LAPC with RECIST non-progressive disease on CE-CT after induction chemotherapy. Restaging CE-CT, CE-MRI, and DWI-MRI were retrospectively evaluated by two abdominal radiologists in consensus, scoring tumor size and vascular involvement. A halo sign was defined as replacement of solid perivascular (arterial and venous) tumor tissue by a zone of fatty-like signal intensity. RESULTS Adequate MRI was obtained in 19 patients with LAPC after induction chemotherapy. Tumor diameter was non-significantly smaller on CE-MRI compared to CE-CT (26 mm vs. 30 mm; p = 0.073). An MRI-halo sign was seen on CE-MRI in 52.6% (n = 10/19), whereas a CT-halo sign was seen in 10.5% (n = 2/19) of patients (p = 0.016). An MRI-halo sign was not associated with resection rate (60.0% vs. 62.5%; p = 1.000). In the resection cohort, patients with an MRI-halo sign had a non-significant increased R0 resection rate as compared to patients without an MRI-halo sign (66.7% vs. 20.0%; p = 0.242). Positive and negative predictive values of the CE-MRI-halo sign for R0 resection were 66.7% and 66.7%, respectively. CONCLUSIONS 3 T CE-MRI and the MRI-halo sign might be helpful to assess the effect of induction chemotherapy in patients with LAPC, but its diagnostic accuracy has to be evaluated in larger series.
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Affiliation(s)
- Thomas F Stoop
- Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands. .,Cancer Center, Amsterdam, The Netherlands.
| | - Eran van Veldhuisen
- Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.,Cancer Center, Amsterdam, The Netherlands
| | - L Bengt van Rijssen
- Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.,Cancer Center, Amsterdam, The Netherlands
| | - Remy Klaassen
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Medical Oncology, Amsterdam, The Netherlands
| | - Oliver J Gurney-Champion
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Ignace H de Hingh
- Department of Surgery, Catharina Hospital Eindhoven, Eindhoven, the Netherlands
| | - Olivier R Busch
- Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.,Cancer Center, Amsterdam, The Netherlands
| | - Hanneke W M van Laarhoven
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Medical Oncology, Amsterdam, The Netherlands
| | - Krijn P van Lienden
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands.,Department of Radiology, St Antonius Hospital Nieuwegein, University Medical Center Utrecht Cancer Center, Regional Academic Cancer Center Utrecht, Nieuwegein, the Netherlands
| | - Jaap Stoker
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Johanna W Wilmink
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Medical Oncology, Amsterdam, The Netherlands
| | - C Yung Nio
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Marc R W Engelbrecht
- Cancer Center, Amsterdam, The Netherlands.,Amsterdam UMC, location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Marc G Besselink
- Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.,Cancer Center, Amsterdam, The Netherlands
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8
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Qu C, Zeng PE, Wang HY, Yuan CH, Yuan HS, Xiu DR. Application of Magnetic Resonance Imaging in Neoadjuvant Treatment of Pancreatic Ductal Adenocarcinoma. J Magn Reson Imaging 2022; 55:1625-1632. [PMID: 35132729 DOI: 10.1002/jmri.28096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 12/11/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignant tumors of the human digestive system. Due to its insidious onset, many patients have already lost the opportunity for radical resection upon tumor diagnosis. In recent years, neoadjuvant treatment for patients with borderline resectable PDAC has been recommended by multiple guidelines to increase the resection rate of radical surgery and improve the postoperative survival. However, further developments are required to accurately assess the tumor response to neoadjuvant therapy and to select the population suitable for such treatment. Reductions in drug toxicity and the number of neoadjuvant cycles are also critical. At present, the clinical evaluation of neoadjuvant treatment is mainly based on several serological and imaging indicators; however, the unique characteristics of PDAC and the insufficient sensitivity and specificity of the markers render this system ineffective. The imaging evaluation system, magnetic resonance imaging (MRI), has its own unique imaging advantages compared with computed tomography (CT) and other imaging examinations. One key advantage is the ability to reflect the changes more rapidly in tumor tissue components, such as the degree of fibrosis, microvessel density, and tissue hypoxia. It can also perform multiparameter quantitative analysis of tumor tissue and changes, attributing to its increasingly important role in imaging evaluation, and potentially the evaluation of neoadjuvant treatment of pancreatic cancer, as several current articles have studied. At the same time, owing to the complexity of MRI and some of its limitations, its wider application is limited. Compared with CT imaging, few relevant studies have been conducted. In this review article, we will investigate and summarize the advantages, limitations, and future development of MRI in the evaluation of neoadjuvant treatment of PDAC. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Chao Qu
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Piao-E Zeng
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Hang-Yan Wang
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Chun-Hui Yuan
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Hui-Shu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dian-Rong Xiu
- Department of General Surgery, Peking University Third Hospital, Beijing, China
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9
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CT in the prediction of margin-negative resection in pancreatic cancer following neoadjuvant treatment: a systematic review and meta-analysis. Eur Radiol 2020; 31:3383-3393. [PMID: 33123793 DOI: 10.1007/s00330-020-07433-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 10/08/2020] [Accepted: 10/15/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVES We aimed to systematically evaluate the diagnostic accuracy of CT-determined resectability following neoadjuvant treatment for predicting margin-negative resection (R0 resection) in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS Original studies with sufficient details to obtain the sensitivity and specificity of CT-determined resectability following neoadjuvant treatment, with a reference on the pathological margin status, were identified in PubMed, EMBASE, and Cochrane databases until February 24, 2020. The identified studies were divided into two groups based on the criteria of R0 resectable tumor (ordinary criterion: resectable PDAC alone; extended criterion: resectable and borderline resectable PDAC). The meta-analytic summary of the sensitivity and specificity for each criterion was estimated separately using a bivariate random-effect model. Summary results of the two criteria were compared using a joint-model bivariate meta-regression. RESULTS Of 739 studies initially searched, 6 studies (6 with ordinary criterion and 5 with extended criterion) were included for analysis. The meta-analytic summary of sensitivity and specificity was 45% (95% confidence interval [CI], 19-73%; I2 = 88.3%) and 85% (95% CI, 65-94%; I2 = 60.5%) for the ordinary criterion, and 81% (95% CI, 71-87%; I2 = 0.0%) and 42% (95% CI, 28-57%; I2 = 6.2%) for the extended criterion, respectively. The diagnostic accuracy significantly differed between the two criteria (p = 0.02). CONCLUSIONS For determining resectability on CT, the ordinary criterion might be highly specific but insensitive for predicting R0 resection, whereas the extended criterion increased sensitivity but would decrease specificity. Further investigations using quantitative parameters may improve the identification of R0 resection. KEY POINTS • CT-determined resectability of PDAC after neoadjuvant treatment using the ordinary criterion shows low sensitivity and high specificity in predicting R0 resection. • With the extended criterion, CT-determined resectability shows higher sensitivity but lower specificity than with the ordinary criterion. • CT-determined resectability with both criteria achieved suboptimal diagnostic performances, suggesting that care should be taken while selecting surgical candidates and when determining the surgical extent after neoadjuvant treatment in patients with PDAC.
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