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Fidan M, Nural MS, Çamlıdağ İ, Yürüker SS, Meydan BC. Evaluation of treatment response by multiparametric MR imaging in locally advanced rectal tumors following neoadjuvant chemotherapy. Abdom Radiol (NY) 2024:10.1007/s00261-024-04389-3. [PMID: 38822855 DOI: 10.1007/s00261-024-04389-3] [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: 04/13/2024] [Revised: 05/11/2024] [Accepted: 05/14/2024] [Indexed: 06/03/2024]
Abstract
PURPOSE To investigate the effectiveness of multiparametric MRI examination in determining tumor response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal tumors. METHODS 46 patients with locally advanced rectal adenocarcinoma were included and were divided into two groups as complete responders and nonresponders based on Mandard score. On MRI, relative T2w signal intensity and ADC values obtained before and after treatment and tumour volumes in dynamic contrast enhanced images (DCI) were used to determine complete response to treatment. RESULTS There were no significant differences between mean ADC values obtained by single slice ADC and three circular ROI methods. There were significant differences between two groups in terms of Post-CRT ADC value, ΔADC and %ΔADC obtained by whole tumour volume ADC method (p < 0.05). There were significant differences between Pre-CRT and Post-CRT volume values. ΔV DCI and %ΔV DCI, ΔV ADC and T2w volume values were significantly lower in complete responders (p < 0.05). In multivariate analysis, sensitivity and specificity were calculated as 88.9% and 91.9% (AUC = 0.943) when Post-CRT mean ADC value and Post-CRT DCI volume values were used together, and sensitivity and specificity were calculated as 88.9% and 94.6% (AUC = 0.949) when ΔADC and Post-CRT DCI volume values were used together. CONCLUSION Whole tumour volume mean ADC value is the most useful method to determine treatment response. Post-CRT DCI volume measurement stands out as the most useful method in assessing complete response alone. The highest diagnostic values are achieved when the post-CRT DCI volume is combined with the ADC change value of the whole tumor volume.
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Affiliation(s)
- Murat Fidan
- Department of Radiology, Ordu Fatsa State Hospital, Evkaf, Hastane Yolu No:5, 52400, Fatsa/Ordu, Turkey
| | - Mehmet Selim Nural
- Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey
| | - İlkay Çamlıdağ
- Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey.
| | - Saim Savaş Yürüker
- Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey
| | - Bilge Can Meydan
- Department of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey
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Schurink NW, van Kranen SR, van Griethuysen JJM, Roberti S, Snaebjornsson P, Bakers FCH, de Bie SH, Bosma GPT, Cappendijk VC, Geenen RWF, Neijenhuis PA, Peterson GM, Veeken CJ, Vliegen RFA, Peters FP, Bogveradze N, El Khababi N, Lahaye MJ, Maas M, Beets GL, Beets-Tan RGH, Lambregts DMJ. Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer. Eur Radiol 2023; 33:8889-8898. [PMID: 37452176 PMCID: PMC10667134 DOI: 10.1007/s00330-023-09920-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
OBJECTIVES To develop and validate a multiparametric model to predict neoadjuvant treatment response in rectal cancer at baseline using a heterogeneous multicenter MRI dataset. METHODS Baseline staging MRIs (T2W (T2-weighted)-MRI, diffusion-weighted imaging (DWI) / apparent diffusion coefficient (ADC)) of 509 patients (9 centres) treated with neoadjuvant chemoradiotherapy (CRT) were collected. Response was defined as (1) complete versus incomplete response, or (2) good (Mandard tumor regression grade (TRG) 1-2) versus poor response (TRG3-5). Prediction models were developed using combinations of the following variable groups: (1) Non-imaging: age/sex/tumor-location/tumor-morphology/CRT-surgery interval (2) Basic staging: cT-stage/cN-stage/mesorectal fascia involvement, derived from (2a) original staging reports, or (2b) expert re-evaluation (3) Advanced staging: variables from 2b combined with cTN-substaging/invasion depth/extramural vascular invasion/tumor length (4) Quantitative imaging: tumour volume + first-order histogram features (from T2W-MRI and DWI/ADC) Models were developed with data from 6 centers (n = 412) using logistic regression with the Least Absolute Shrinkage and Selector Operator (LASSO) feature selection, internally validated using repeated (n = 100) random hold-out validation, and externally validated using data from 3 centers (n = 97). RESULTS After external validation, the best model (including non-imaging and advanced staging variables) achieved an area under the curve of 0.60 (95%CI=0.48-0.72) to predict complete response and 0.65 (95%CI=0.53-0.76) to predict a good response. Quantitative variables did not improve model performance. Basic staging variables consistently achieved lower performance compared to advanced staging variables. CONCLUSIONS Overall model performance was moderate. Best results were obtained using advanced staging variables, highlighting the importance of good-quality staging according to current guidelines. Quantitative imaging features had no added value (in this heterogeneous dataset). CLINICAL RELEVANCE STATEMENT Predicting tumour response at baseline could aid in tailoring neoadjuvant therapies for rectal cancer. This study shows that image-based prediction models are promising, though are negatively affected by variations in staging quality and MRI acquisition, urging the need for harmonization. KEY POINTS This multicenter study combining clinical information and features derived from MRI rendered disappointing performance to predict response to neoadjuvant treatment in rectal cancer. Best results were obtained with the combination of clinical baseline information and state-of-the-art image-based staging variables, highlighting the importance of good quality staging according to current guidelines and staging templates. No added value was found for quantitative imaging features in this multicenter retrospective study. This is likely related to acquisition variations, which is a major problem for feature reproducibility and thus model generalizability.
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Affiliation(s)
- Niels W Schurink
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Simon R van Kranen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joost J M van Griethuysen
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Sander Roberti
- Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Petur Snaebjornsson
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Frans C H Bakers
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Shira H de Bie
- Department of Radiology, Deventer Ziekenhuis, Schalkhaar, The Netherlands
| | - Gerlof P T Bosma
- Department of Interventional Radiology, Elisabeth Tweesteden Hospital, Tilburg, The Netherlands
| | - Vincent C Cappendijk
- Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | - Remy W F Geenen
- Department of Radiology, Northwest Clinics, Alkmaar, The Netherlands
| | | | | | - Cornelis J Veeken
- Department of Radiology, IJsselland Hospital, Capelle aan den IJssel, The Netherlands
| | - Roy F A Vliegen
- Department of Radiology, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Femke P Peters
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Nino Bogveradze
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
- Department of Radiology, Acad. F. Todua Medical Center, Research Institute of Clinical Medicine, Tbilisi, Georgia
| | - Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Geerard L Beets
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
- Institute of Regional Health Research, University of Southern Denmark, Vejle, Denmark
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands.
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Yardimci AH, Kocak B, Sel I, Bulut H, Bektas CT, Cin M, Dursun N, Bektas H, Mermut O, Yardimci VH, Kilickesmez O. Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI. Jpn J Radiol 2023; 41:71-82. [PMID: 35962933 DOI: 10.1007/s11604-022-01325-7] [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: 06/22/2022] [Accepted: 08/02/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE Variable response to neoadjuvant chemoradiotherapy (nCRT) is observed among individuals with locally advanced rectal cancer (LARC), having a significant impact on patient management. In this work, we aimed to investigate the potential value of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics in predicting therapeutic response to nCRT in patients with LARC. MATERIALS AND METHODS Seventy-six patients with LARC were included in this retrospective study. Radiomic features were extracted from pre-treatment sagittal T2-weighted MRI images, with 3D segmentation. Dimension reduction was performed with a reliability analysis, pair-wise correlation analysis, analysis of variance, recursive feature elimination, Kruskal-Wallis, and Relief methods. Models were created using four different algorithms. In addition to radiomic models, clinical only and different combined models were developed and compared. The reference standard was tumor regression grade (TRG) based on the Modified Ryan Scheme (TRG 0 vs TRG 1-3). Models were compared based on net reclassification index (NRI). Clinical utility was assessed with decision curve analysis (DCA). RESULTS Number of features with excellent reliability is 106. The best result was achieved with radiomic only model using eight features. The area under the curve (AUC), accuracy, sensitivity, and specificity for validation were 0.753 (standard deviation [SD], 0.082), 81.1%, 83.8%, and 75.0%; for testing, 0.705 (SD, 0.145), 73.9%, 81.2%, and 57.1%, respectively. Based on the clinical only model as reference, NRI for radiomic only model was the best. DCA also showed better clinical utility for radiomic only model. CONCLUSIONS ML-based T2-weighted MRI radiomics might have a potential in predicting response to nCRT in patients with LARC.
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Affiliation(s)
- Aytul Hande Yardimci
- Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, 34480, Turkey
| | - Burak Kocak
- Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, 34480, Turkey.
| | - Ipek Sel
- Department of Radiology, University of Health Sciences, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Hasan Bulut
- Department of Radiology, University of Health Sciences, Dr. Sami Ulus Maternity and Children Research and Training Hospital, Ankara, Turkey
| | - Ceyda Turan Bektas
- Department of Radiology, University of Health Sciences, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Merve Cin
- Department of Pathology, University of Health Sciences, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Nevra Dursun
- Department of Pathology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Hasan Bektas
- Department of General Surgery, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Ozlem Mermut
- Department of Radiation Oncology, University of Health Sciences, Istanbul Training and Research Hospital, Istanbul, Turkey
| | | | - Ozgur Kilickesmez
- Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, 34480, Turkey
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Pham TT, Lim S, Lin M. Predicting neoadjuvant chemoradiotherapy response with functional imaging and liquid biomarkers in locally advanced rectal cancer. Expert Rev Anticancer Ther 2022; 22:1081-1098. [PMID: 35993178 DOI: 10.1080/14737140.2022.2114457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Non-invasive predictive quantitative biomarkers are required to guide treatment individualization in patients with locally advanced rectal cancer (LARC) in order to maximise therapeutic outcomes and minimise treatment toxicity. Magnetic resonance imaging (MRI), positron emission tomography (PET) and blood biomarkers have the potential to predict chemoradiotherapy (CRT) response in LARC. AREAS COVERED This review examines the value of functional imaging (MRI and PET) and liquid biomarkers (circulating tumor cells (CTCs) and circulating tumor nucleic acid (ctNA)) in the prediction of CRT response in LARC. Selected imaging and liquid biomarker studies are presented and the current status of the most promising imaging (apparent diffusion co-efficient (ADC), Ktrans, SUVmax, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) and liquid biomarkers (circulating tumor cells (CTCs), circulating tumor nucleic acid (ctNA)) is discussed. The potential applications of imaging and liquid biomarkers for treatment stratification and a pathway to clinical translation are presented. EXPERT OPINION Functional imaging and liquid biomarkers provide novel ways of predicting CRT response. The clinical and technical validation of the most promising imaging and liquid biopsy biomarkers in multi-centre studies with harmonised acquisition techniques is required. This will enable clinical trials to investigate treatment escalation or de-escalation pathways in rectal cancer.
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Affiliation(s)
- Trang Thanh Pham
- South West Sydney Clinical School, Faculty of Medicine and Health, University of New South Wales, Liverpool NSW Australia 2170.,Department of Radiation Oncology, Liverpool Cancer Therapy Centre, Liverpool Hospital, Liverpool NSW Australia 2170.,Ingham Institute for Applied Medical Research, Liverpool NSW Australia 2170
| | - Stephanie Lim
- Ingham Institute for Applied Medical Research, Liverpool NSW Australia 2170.,Department of Medical Oncology, Macarthur Cancer Therapy Centre, Campbelltown Hospital, Campbelltown Australia 2560.,School of Medicine, Western Sydney University, Campbelltown, Sydney 2560
| | - Michael Lin
- South West Sydney Clinical School, Faculty of Medicine and Health, University of New South Wales, Liverpool NSW Australia 2170.,School of Medicine, Western Sydney University, Campbelltown, Sydney 2560.,Department of Nuclear Medicine, Liverpool Hospital, Liverpool NSW Australia 2170
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Azamat S, Karaman Ş, Azamat IF, Ertaş G, Kulle CB, Keskin M, Sakin RND, Bakır B, Oral EN, Kartal MG. Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps. Curr Med Imaging 2022; 18:1061-1069. [PMID: 35240976 DOI: 10.2174/1573405618666220303111026] [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: 08/20/2021] [Revised: 12/07/2021] [Accepted: 12/22/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND The prediction of pathological responses for locally advanced rectal cancer using magnetic resonance imaging (MRI) after neoadjuvant chemoradiotherapy (CRT) is a challenging task for radiologists, as residual tumor cells can be mistaken for fibrosis. Texture analysis of MR images has been proposed to understand the underlying pathology. OBJECTIVE This study aimed to assess the responses of lesions to CRT in patients with locally advanced rectal cancer using the first-order textural features of MRI T2-weighted imaging (T2-WI) and apparent diffusion coefficient (ADC) maps. METHODS Forty-four patients with locally advanced rectal cancer (median age: 57 years) who underwent MRI before and after CRT were enrolled in this retrospective study. The first-order textural parameters of tumors on T2-WI and ADC maps were extracted. The textural features of lesions in pathologic complete responders were compared to partial responders using Student's t- or Mann-Whitney U tests. A comparison of textural features before and after CRT for each group was performed using the Wilcoxon rank sum test. Receiver operating characteristic curves were calculated to detect the diagnostic performance of the ADC. RESULTS Of the 44 patients evaluated, 22 (50%) were placed in a partial response group and 50% were placed in a complete response group. The ADC changes of the complete responders were statistically more significant than those of the partial responders (P = 0.002). Pathologic total response was predicted with an ADC cut-off of 1310 x 10-6 mm2/s, with a sensitivity of 72%, a specificity of 77%, and an accuracy of 78.1% after neoadjuvant CRT. The skewness of the T2-WI before and after neoadjuvant CRT showed a significant difference in the complete response group compared to the partial response group (P = 0.001 for complete responders vs. P = 0.482 for partial responders). Also, relative T2-WI signal intensity in the complete response group was statistically lower than that of the partial response group after neoadjuvant CRT (P = 0.006). CONCLUSION As a result of the conversion of tumor cells to fibrosis, the skewness of the T2-WI before and after neoadjuvant CRT was statistically different in the complete response group compared to the partial response group, and the complete response group showed statistically lower relative T2-WI signal intensity than the partial response group after neoadjuvant CRT. Additionally, the ADC cut-off value of 1310 × 10-6 mm2/s could be used as a marker for complete response along with absolute ADC value changes within this dataset.
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Affiliation(s)
- Sena Azamat
- Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey
- Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Şule Karaman
- Department of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Ibrahim Fethi Azamat
- Department of General Surgery, Faculty of Medicine, Koc University, Istanbul, Turke
| | - Gokhan Ertaş
- Biomedical Engineering Department, Yeditepe University, Istanbul, Turkey
| | - Cemil Burak Kulle
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Metin Keskin
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | | | - Barış Bakır
- Department of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Ethem Nezih Oral
- Department of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Merve Gulbiz Kartal
- Department of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Munk NE, Bondeven P, Pedersen BG. Diagnostic performance of MRI and endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy: a systematic review of the literature. Acta Radiol 2021; 64:20-31. [PMID: 34928715 DOI: 10.1177/02841851211065925] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The diagnostic performance of magnetic resonance imaging (MRI) modalities and/or endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy (nCRT) is unclear. PURPOSE To summarize existing evidence on the diagnostic performance of diffusion-weighted MRI, perfusion-weighted MRI, T2-weighted MR tumor regression grade, and/or endoscopy for assessing complete tumor response after nCRT. MATERIAL AND METHODS MEDLINE and Embase databases were searched. The PRISMA guidelines were followed. Sensitivity, specificity, negative predictive, and positive predictive values were retrieved from included studies. RESULTS In total, 81 studies were eligible for inclusion. Evidence suggests that combined use of MRI and endoscopy tends to improve the diagnostic performance compared to single imaging modality. The positive predictive value of a complete response varies substantially between studies. There is considerable heterogeneity between studies. CONCLUSION Combined re-staging tends to improve diagnostic performance compared to single imaging modality, but the vast majority of studies fail to offer true clinical value due to the study heterogeneity.
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Affiliation(s)
| | - Peter Bondeven
- Department of Surgery, Regional Hospital Randers, Randers, Denmark
| | - Bodil Ginnerup Pedersen
- Department of Radiology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
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Xu Q, Xu Y, Sun H, Jiang T, Xie S, Ooi BY, Ding Y. MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends. Cancer Manag Res 2021; 13:4317-4328. [PMID: 34103987 PMCID: PMC8179813 DOI: 10.2147/cmar.s309252] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 05/08/2021] [Indexed: 12/29/2022] Open
Abstract
Complete tumor response can be achieved in a certain proportion of patients with locally advanced rectal cancer, who achieve maximal response to neoadjuvant therapy (NAT). For these patients, a watch-and-wait (WW) or nonsurgical strategy has been proposed and is becoming widely practiced in order to avoid unnecessary surgical complications. Therefore, a non-invasive, reliable diagnostic tool for accurately evaluating complete tumor response is needed. Magnetic resonance imaging (MRI) plays a crucial role in both primary staging and restaging tumor response to NAT in rectal cancer without relying on resected specimen. In recent years, numerous efforts have been made to research the value of MRI in predicting and evaluating complete response in rectal cancer. Current MRI evaluation is mainly based on morphological and functional images. Morphologic MRI yields high soft tissue resolution, multiplanar images, and provides detailed depictions of rectal cancer and its surrounding structures. Functional MRI may help to distinguish residual tumor from fibrosis, therefore improving the diagnostic performance of morphologic MRI in identifying complete tumor response. Both morphologic and functional MRI have several promising parameters that may help accurately evaluate and/or predict complete response of rectal cancer. However, these parameters still have limitations and the results remain inconsistent. Recent development of new techniques, such as textural analysis, radiomics analysis and deep learning, demonstrate great potential based on MRI-derived parameters. This article aimed to review and help better understand the strengths, limitations, and future trends of these MRI-derived methods in evaluating complete response in rectal cancer.
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Affiliation(s)
- Qiaoyu Xu
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yanyan Xu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Hongliang Sun
- Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Tao Jiang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Bee Yen Ooi
- Department of Radiology, Hospital Seberang Jaya, Penang, Malaysia
| | - Yi Ding
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
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8
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Chen K, She HL, Wu T, Hu F, Li T, Luo LP. Comparison of percentage changes in quantitative diffusion parameters for assessing pathological complete response to neoadjuvant therapy in locally advanced rectal cancer: a meta-analysis. Abdom Radiol (NY) 2021; 46:894-908. [PMID: 32975646 DOI: 10.1007/s00261-020-02770-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 09/02/2020] [Accepted: 09/10/2020] [Indexed: 02/01/2023]
Abstract
PURPOSE To evaluate and compare the diagnostic performance of percentage changes in apparent diffusion coefficient (∆ADC%) and slow diffusion coefficient (∆D%) for assessing pathological complete response (pCR) to neoadjuvant therapy in patients with locally advanced rectal cancer (LARC). METHODS A systematic search in PubMed, EMBASE, the Web of Science, and the Cochrane Library was performed to retrieve related original studies. For each parameter (∆ADC% and ∆D%), we pooled the sensitivity, specificity and calculated the area under summary receiver operating characteristic curve (AUROC) values. Meta-regression and subgroup analyses were performed to explore heterogeneity among the studies on ∆ADC%. RESULTS 15 original studies (804 patients with 805 lesions, 15 studies on ∆ADC%, 4 of the studies both on ∆ADC% and ∆D%) were included. pCR was observed in 213 lesions (26.46%). For the assessment of pCR, the pooled sensitivity, specificity and AUROC of ∆ADC% were 0.83 (95% confidence intervals [CI] 0.76, 0.89), 0.74 (95% CI 0.66, 0.81), 0.87 (95% CI 0.83, 0.89), and ∆D% were 0.70 (95% CI 0.52, 0.84), 0.81 (95% CI 0.65, 0.90), 0.81 (95% CI 0.77, 0.84), respectively. In the four studies on the both metrics, ∆ADC% yielded an equivalent diagnostic performance (AUROC 0.80 [95% CI 0.76, 0.83]) to ∆D%, but lower than in the studies (n = 11) only on ∆ADC% (AUROC 0.88 [95% CI 0.85, 0.91]). Meta-regression and subgroup analyses showed no significant factors affecting heterogeneity. CONCLUSIONS Our meta-analysis confirms that ∆ADC% could reliably evaluate pCR in patients with LARC after neoadjuvant therapy. ∆D% may not be superior to ∆ADC%, which deserves further investigation.
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Affiliation(s)
- Kai Chen
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 Huangpu Street, Guangzhou, 510630, China
- Department of Radiology, Affiliated Hospital of Xiangnan University (Clinical College), 25 Renmin West Road, Chenzhou, 423000, China
| | - Hua-Long She
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 Huangpu Street, Guangzhou, 510630, China
- Department of Radiology, Affiliated Hospital of Xiangnan University (Clinical College), 25 Renmin West Road, Chenzhou, 423000, China
| | - Tao Wu
- Department of Radiology, Affiliated Hospital of Xiangnan University (Clinical College), 25 Renmin West Road, Chenzhou, 423000, China
| | - Fang Hu
- College of Medical Imaging and Medical Examination, Xiangnan University, 25 Renmin West Road, Chenzhou, 423000, China
| | - Tao Li
- College of Medical Imaging and Medical Examination, Xiangnan University, 25 Renmin West Road, Chenzhou, 423000, China.
| | - Liang-Ping Luo
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, 613 Huangpu Street, Guangzhou, 510630, China.
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9
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Di Re AM, Sun Y, Sundaresan P, Hau E, Toh JWT, Gee H, Or M, Haworth A. MRI radiomics in the prediction of therapeutic response to neoadjuvant therapy for locoregionally advanced rectal cancer: a systematic review. Expert Rev Anticancer Ther 2021; 21:425-449. [PMID: 33289435 DOI: 10.1080/14737140.2021.1860762] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Introduction: The standard of care for locoregionally advanced rectal cancer is neoadjuvant therapy (NA CRT) prior to surgery, of which 10-30% experience a complete pathologic response (pCR). There has been interest in using imaging features, also known as radiomics features, to predict pCR and potentially avoid surgery. This systematic review aims to describe the spectrum of MRI studies examining high-performing radiomic features that predict NA CRT response.Areas covered: This article reviews the use of pre-therapy MRI in predicting NA CRT response for patients with locoregionally advanced rectal cancer (T3/T4 and/or N1+). The primary outcome was to identify MRI radiomic studies; secondary outcomes included the power and the frequency of use of radiomic features.Expert opinion: Advanced models incorporating multiple radiomics categories appear to be the most promising. However, there is a need for standardization across studies with regards to; the definition of NA CRT response, imaging protocols, and radiomics features incorporated. Further studies are needed to validate current radiomics models and to fully ascertain the value of MRI radiomics in the response prediction for locoregionally advanced rectal cancer.
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Affiliation(s)
- Angelina Marina Di Re
- Colorectal Department, Westmead Hospital, Cnr Hawkesbury, Westmead, NSW.,School of Physics, University of Sydney, Camperdown, NSW, Australia
| | - Yu Sun
- School of Physics, University of Sydney, Camperdown, NSW, Australia
| | - Purnima Sundaresan
- Radiation Oncology Network, Western Sydney Local Health District, Cnr Hawkesbury, Westmead, NSW, Australia.,Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
| | - Eric Hau
- Radiation Oncology Network, Western Sydney Local Health District, Cnr Hawkesbury, Westmead, NSW, Australia.,Sydney Medical School, University of Sydney, Camperdown, NSW, Australia.,Centre for Cancer Research, Westmead Institute of Medical Research, Westmead, NSW, Australia
| | - James Wei Tatt Toh
- Colorectal Department, Westmead Hospital, Cnr Hawkesbury, Westmead, NSW.,Sydney Medical School, University of Sydney, Camperdown, NSW, Australia.,Centre for Cancer Research, Westmead Institute of Medical Research, Westmead, NSW, Australia
| | - Harriet Gee
- Radiation Oncology Network, Western Sydney Local Health District, Cnr Hawkesbury, Westmead, NSW, Australia.,Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
| | - Michelle Or
- Radiation Oncology Network, Western Sydney Local Health District, Cnr Hawkesbury, Westmead, NSW, Australia
| | - Annette Haworth
- School of Physics, University of Sydney, Camperdown, NSW, Australia
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10
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Haak HE, Maas M, Trebeschi S, Beets-Tan RGH. Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye. Front Oncol 2020; 10:537532. [PMID: 33117678 PMCID: PMC7578261 DOI: 10.3389/fonc.2020.537532] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 09/02/2020] [Indexed: 12/29/2022] Open
Abstract
MR imaging (MRI) is now part of the standard work up of patients with rectal cancer. Restaging MRI has been traditionally used to plan the surgical approach. Its role has recently increased and been adopted as a valuable tool to assist the clinical selection of clinical (near) complete responders for organ preserving treatment. Recently several studies have addressed new imaging biomarkers that combined with morphological provides a comprehensive picture of the tumor. Diffusion-weighted MRI (DWI) has entered the clinics and proven useful for response assessment after chemoradiotherapy. Other functional (quantitative) MRI technologies are on the horizon including artificial intelligence modeling. This narrative review provides an overview of recent advances in rectal cancer (re)staging by imaging with a specific focus on response prediction and evaluation of neoadjuvant treatment response. Furthermore, directions are given for future research.
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Affiliation(s)
- Hester E Haak
- Department of Radiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands.,Department of Surgery, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Monique Maas
- Department of Radiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands
| | - Stefano Trebeschi
- Department of Radiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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11
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Guan Z, Sun RJ, Cao WT, Zhang HM, Yu T, Yu XP, Zhang JX, Zhang XY, Li XT, Zhou ZY, Zhao XM, Wen L, Sun YS. Magnetic resonance imaging tumor response score (mrTRS) predicts therapeutic effect and prognosis of locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A prospective, multi-center study. Radiother Oncol 2020; 151:288-295. [PMID: 32890612 DOI: 10.1016/j.radonc.2020.08.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/25/2020] [Accepted: 08/30/2020] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND PURPOSE The MRI-assessed tumor regression grade (mrTRG) is limited due to its subjectivity and poor consistency on pathological tumor regression grade (pTRG). A new MRI criterion was established to predict the prognosis of locally advanced rectal cancer (LARC). MATERIALS AND METHODS The new MRI criterion magnetic resonance imaging tumor response score (mrTRS) was based on the retrospective sample of 214 LARC patients (unpublished data). Subsequently, 878 LARC patients were enrolled for a prospective, multicenter study. Baseline and postoperative MRI were obtained, and imaging features were measured by collecting the pathological, clinical and follow-up data. Kaplan-Meier method with log-rank estimate and multivariate cox regression model was used to determine the prognosis of mrTRS in LARC patients with neoadjuvant chemoradiotherapy (NACRT). The predictive capability of 3-year prognosis between mrTRS and mrTRG was determined by time-dependent ROC curves. RESULTS The results demonstrated that mrTRS acted as an independent predictor of survival outcomes. mrTRS stratified by good and moderate responders showed significantly lower risk of death (HR = 0.04, 95%CI 0.01-0.31; HR = 0.35, 95%CI 0.23-0.52), distant metastasis (HR = 0.25, 95%CI 0.13-0.52; HR = 0.42, 95%CI 0.30-0.58), and local recurrence when compared with poor responders(HR = 0.01 95%CI 0.23-0.52;HR = 0.38, 95%CI 0.16-0.90). In contrast, no significant difference was observed among mrTRG stratified groups. Excellent and substantial interobserver agreement for mrTRS and mrTRG evaluation was observed (κ = 0.92 and 0.62), respectively. CONCLUSION mrTRS can serve as an effective predictor for assessing tumor regression grade in LARC patients with NACRT.
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Affiliation(s)
- Zhen Guan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Rui-Jia Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Wu-Teng Cao
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hong-Mei 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, Beijing, China
| | - Tao Yu
- Department of Medical Imaging, Cancer Hospital of China Medical University, Shenyang, China; Department of Medical Imaging, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Xiao-Ping Yu
- Department of Radiology, Hunan Cancer Hospital, Changsha, China
| | - Jian-Xin Zhang
- Department of MR and CT, Shanxi Province Tumor Hospital, The Third People Hospital of Shanxi Province, Taiyuan, China
| | - Xiao-Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi-Yang Zhou
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xin-Ming 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, Beijing, China
| | - Lu Wen
- Department of Radiology, Hunan Cancer Hospital, Changsha, China
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China.
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12
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Yang L, Xia C, Liu D, Fang X, Pan X, Ma L, Wu B. The role of readout-segmented echo-planar imaging-based diffusion-weighted imaging in evaluating tumor response of locally advanced rectal cancer after neoadjuvant chemoradiotherapy. Acta Radiol 2020; 61:1155-1164. [PMID: 31924105 DOI: 10.1177/0284185119897354] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Accurate assessment of tumor response in rectal cancer could help individualize treatment. PURPOSE To evaluate the role of diffusion-weighted imaging (DWI) based on readout-segmented echo-planar imaging (rs-EPI) in assessing tumor response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC). MATERIAL AND METHODS Sixty-three patients with LARC who received neoadjuvant CRT and surgery were enrolled retrospectively. They all underwent pre- and post-CRT magnetic resonance examinations, including DWI using rs-EPI. According to pathological results, patients were grouped as pathological complete responder (pCR, n = 16) and non-pCR (n = 47). Visual assessment of residual tumor and whole-tumor histogram analysis of pre- and post-CRT apparent diffusion coefficient (ADC) map was performed by two radiologists; tumor volume on ADC map was also recorded. RESULTS Overall inter-observer agreement was good for histogram analysis (ICC = 0.543-0.999). Tumor volume reduction rate on ADC map showed no significant difference between the two groups (P = 0.468). Post-CRT mean, quantile values, and their percentage changes were higher in the pCR group (all P < 0.001). Post-CRT mean value had a good diagnostic power in selecting pCR (AUC = 0.855), with a cut-off value of 1.345 × 10-3 mm2/s, yielding a sensitivity of 83%, specificity of 81.3%. Post-CRT 95% quantile value had the highest AUC (AUC = 0.868) among quantile values, and a higher specificity (87.5% vs. 81.3%) than mean value with comparable overall diagnostic performance (P = 0.563). Visual assessment showed a sensitivity of 85.1%, specificity of 68.8% in selecting pCR. CONCLUSION Quantitative ADC value of rs-EPI DWI could reliably evaluate tumor response in patients with LARC. Post-CRT 95% quantile ADC value could help mean value to more accurately identify pCR.
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Affiliation(s)
- Lanqing Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Dan Liu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Xin Fang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Xuelin Pan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Ling Ma
- GE Healthcare, Shanghai, PR China
| | - Bing Wu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
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13
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Jiménez de los Santos ME, Reyes-Pérez JA, Sandoval-Nava RM, Villalobos-Juárez JL, Villaseñor-Navarro Y, Vela-Sarmiento I, Sollozo-Dupont I. The apparent diffusion coefficient is a useful biomarker in predicting treatment response in patients with locally advanced rectal cancer. Acta Radiol Open 2020; 9:2058460120957295. [PMID: 32974055 PMCID: PMC7495679 DOI: 10.1177/2058460120957295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/18/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Apparent diffusion coefficient (ADC) values achieve promising results in treatment response prediction in patients with several types of cancers. PURPOSE To determine whether ADC values predict neoadjuvant chemoradiation treatment (nCRT) response in patients with locally advanced rectal cancer (LARC). MATERIAL AND METHODS Forty-four patients with LARC who underwent magnetic resonance imaging scans before and after nCRT followed by delayed surgery were enrolled retrospectively. The sample was distributed as follows: responders (R), n = 8; and non-responders (Non-R), n = 36. Three markers of treatment response were considered: post-nCRT measures; ΔADC; and Δ%ADC. Statistical analysis included a Wilcoxon test, a Mann-Whitney U test, and a receiver operating characteristic (ROC) analysis in order to evaluate the diagnostic accuracy for each ADC value marker to differentiate between R and Non-R. RESULTS Both minimum and mean ADC values were significantly higher after nCRT in the R group, while non-significant differences between basal and control ADC values were found in the non-R group. In addition, ΔADC and Δ%ADC exhibited increased values after nCRT in R when compared with non-R. ROC analysis revealed the following diagnostic performance parameters: post-nCRT: ADCmin = 1.05 × 10-3 mm2/s (sensitivity 61.1% and specificity 66.7%), ADCmean = 1.50 × 10-3 mm2/s (sensitivity 72.2% and specificity 83.3%), ΔADC: ADCmin = 0.35 (sensitivity 66.7% and specificity 83.3%), ADCmean = 0.50 (sensitivity 72% and specificity 83%); and Δ%ADC: ADCmin = 44% (sensitivity 66.7% and specificity 83.3%) and ADCmean = 60% (sensitivity 83% and specificity 99%). CONCLUSION Our findings suggest that post-treatment rectal tumor ADC values, as well changes between pre- and post-treatment values, may be biomarkers for predicting treatment response in patients with LARC who underwent nCRT.
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14
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Palmisano A, Di Chiara A, Esposito A, Rancoita PMV, Fiorino C, Passoni P, Albarello L, Rosati R, Del Maschio A, De Cobelli F. MRI prediction of pathological response in locally advanced rectal cancer: when apparent diffusion coefficient radiomics meets conventional volumetry. Clin Radiol 2020; 75:798.e1-798.e11. [PMID: 32712007 DOI: 10.1016/j.crad.2020.06.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 06/17/2020] [Indexed: 12/16/2022]
Abstract
AIM To investigate the role of diffusion-weighted imaging (DWI), T2-weighted (W) imaging, and apparent diffusion coefficient (ADC) histogram analysis before, during, and after neoadjuvant chemoradiotherapy (CRT) in the prediction of pathological response in patients with locally advanced rectal cancer (LARC). MATERIALS AND METHODS Magnetic resonance imaging (MRI) at 1.5 T was performed in 43 patients with LARC before, during, and after CRT. Tumour volume was measured on both T2-weighted (VT2W) and on DWI at b=1,000 images (Vb,1,000) at each time point, hence the tumour volume reduction rate (ΔVT2W and ΔVb,1,000) was calculated. Whole-lesion (three-dimensional [3D]) first-order texture analysis of the ADC map was performed. Imaging parameters were compared to the pathological tumour regression grade (TRG). The diagnostic performance of each parameter in the identification of complete responders (CR; TRG4), partial responders (PR; TRG3) and non-responders (NR; TRG0-2) was evaluated by multinomial regression analysis and receiver operating characteristics curves. RESULTS After surgery, 11 patients were CR, 22 PR, and 10 NR. Before CRT, predictions of CR resulted in an ADC value of the 75th percentile and median, with good accuracy (74% and 86%, respectively) and sensitivity (73% and 82%, respectively). During CRT, the best predictor of CR was ΔVT2W (-58.3%) with good accuracy (81%) and excellent sensitivity (91%). After CRT, the best predictors of CR were ΔVT2W (-82.8%) and ΔVb, 1,000 (-86.8%), with 84% accuracy in both cases and 82% and 91% sensitivity, respectively. CONCLUSIONS The median ADC value at pre-treatment MRI and ΔVT2W (from pre-to-during CRT MRI) may have a role in early and accurate prediction of response to treatment. Both ΔVT2W and ΔVb,1,000 (from pre-to-post CRT) can help in the identification of CR after CRT.
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Affiliation(s)
- A Palmisano
- Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milano, Italy.
| | - A Di Chiara
- Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
| | - A Esposito
- Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
| | - P M V Rancoita
- University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy
| | - C Fiorino
- Medical Physics, San Raffaele Hospital, Milano, Italy
| | - P Passoni
- Unit of Radiotherapy, IRCCS Ospedale San Raffaele, Milano, Italy
| | - L Albarello
- Department of Pathology, IRCCS Ospedale San Raffaele, Milano, Italy
| | - R Rosati
- Vita-Salute San Raffaele University, Milano, Italy; Department of Gastrointestinal Surgery, San Raffaele Hospital, Milano, Italy
| | - A Del Maschio
- Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
| | - F De Cobelli
- Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
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15
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Min LA, Vacher YJL, Dewit L, Donker M, Sofia C, van Triest B, Bos P, van Griethuysen JJW, Maas M, Beets-Tan RGH, Lambregts DMJ. Gross tumour volume delineation in anal cancer on T2-weighted and diffusion-weighted MRI - Reproducibility between radiologists and radiation oncologists and impact of reader experience level and DWI image quality. Radiother Oncol 2020; 150:81-88. [PMID: 32540336 DOI: 10.1016/j.radonc.2020.06.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/06/2020] [Accepted: 06/07/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE To assess how gross tumour volume (GTV) delineation in anal cancer is affected by interobserver variations between radiologists and radiation oncologists, expertise level, and use of T2-weighted MRI (T2W-MRI) vs. diffusion-weighted imaging (DWI), and to explore effects of DWI quality. METHODS AND MATERIALS We retrospectively analyzed the MRIs (T2W-MRI and b800-DWI) of 25 anal cancer patients. Four readers (Senior and Junior Radiologist; Senior and Junior Radiation Oncologist) independently delineated GTVs, first on T2W-MRI only and then on DWI (with reference to T2W-MRI). Maximum Tumour Diameter (MTD) was calculated from each GTV. Mean GTVs/MTDs were compared between readers and between T2W-MRI vs. DWI. Interobserver agreement was calculated as Intraclass Correlation Coefficient (ICC), Dice Similarity Coefficient (DSC) and Hausdorff Distance (HD). DWI image quality was assessed using a 5-point artefact scale. RESULTS Interobserver agreement between radiologists vs. radiation oncologists and between junior vs. senior readers was good-excellent, with similar agreement for T2W-MRI and DWI (e.g. ICCs 0.72-0.94 for T2W-MRI and 0.68-0.89 for DWI). There was a trend towards smaller GTVs on DWI, but only for the radiologists (P = 0.03-0.07). Moderate-severe DWI-artefacts were observed in 11/25 (44%) cases. Agreement tended to be lower in these cases. CONCLUSION Overall interobserver agreement for anal cancer GTV delineation on MRI is good for both radiologists and radiation oncologists, regardless of experience level. Use of DWI did not improve agreement. DWI artefacts affecting GTV delineation occurred in almost half of the patients, which may severely limit the use of DWI for radiotherapy planning if no steps are undertaken to avoid them.
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Affiliation(s)
- Lisa A Min
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, The Netherlands.
| | - Younan J L Vacher
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Luc Dewit
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Mila Donker
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Carmelo Sofia
- Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Messina, Italy
| | - Baukelien van Triest
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Paula Bos
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, The Netherlands; Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joost J W van Griethuysen
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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16
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Hörberg L, Roth D, Leander P, Månsson S, Fält T, Ekberg O, Zackrisson S. Reproducibility of measurements with a semi-automatic software package for the evaluation of rectal cancer. Acta Radiol 2020; 61:586-594. [PMID: 31510762 DOI: 10.1177/0284185119873118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Staging of rectal cancer with MRI has major impact on treatment choice and may be of importance in new cancer management strategies such as “wait-and-see” policy. Purpose To assess the reproducibility of a software package recently developed at our department to measure volumes, apparent diffusion coefficient, and the skewness of apparent diffusion coefficient in lymph nodes and tumors in rectal cancer patients before and after chemoradiation treatment. Material and Methods This study included 20 consecutive patients with biopsy-verified rectal cancer, in whom MRI staging had been performed both before and after chemoradiation treatment. The diffusion-weighted images were transferred to the software. The volume, apparent diffusion coefficient, and skewness were determined for 93 lymph nodes and 40 tumors. The volumes were compared with manual measurements of the volume of the same lymph nodes and tumors. Results The agreement in semi-automatic measurements of lymph nodes was very good (ICC = 0.99), and in tumors good (ICC = 0.88). The agreement in manual measurements of lymph nodes was very good (ICC = 0.95) when all lymph nodes were included, but low (ICC = 0.52) if three outliers were excluded. Bland–Altman plots showed clear agreement between manual and semi-automatic measurements in the lymph nodes, but not in measurements of tumors. The values of apparent diffusion coefficient and skewness in tumors differed before and after treatment but did not differ in lymph nodes as a group. Conclusion The software package showed a high degree of reproducibility in measurements on lymph nodes but requires further development to improve the reproducibility of tumor measurements.
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Affiliation(s)
- Lisa Hörberg
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Daniel Roth
- Medical Radiation Physics, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Peter Leander
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sven Månsson
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tobias Fält
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Olle Ekberg
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sophia Zackrisson
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Malmö, Sweden
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17
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Lambregts DMJ, Min LA, Schurink N, Beets-Tan RGH. Multiparametric Imaging for the Locoregional Follow-up of Rectal Cancer. CURRENT COLORECTAL CANCER REPORTS 2020. [DOI: 10.1007/s11888-020-00450-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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18
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Schurink NW, Min LA, Berbee M, van Elmpt W, van Griethuysen JJM, Bakers FCH, Roberti S, van Kranen SR, Lahaye MJ, Maas M, Beets GL, Beets-Tan RGH, Lambregts DMJ. Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation. Eur Radiol 2020; 30:2945-2954. [DOI: 10.1007/s00330-019-06638-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/05/2019] [Accepted: 12/17/2019] [Indexed: 12/12/2022]
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Gürses B, Böge M, Altınmakas E, Balık E. Multiparametric MRI in rectal cancer. ACTA ACUST UNITED AC 2020; 25:175-182. [PMID: 31063142 DOI: 10.5152/dir.2019.18189] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
MRI has a pivotal role in both pretreatment staging and posttreatment evaluation of rectal cancer. The accuracy of MRI in pretreatment staging is higher compared with posttreatment evaluation. This occurs due to similar signal intensities of tumoral and posttreatment fibrotic, necrotic, and inflamed tissue. This limitation occurs with conventional MRI of the rectum with morphologic sequences. There is a need towards increasing the accuracy of MRI, especially for posttreatment evaluation. The term multiparametric MRI implies addition of functional sequences, namely, diffusion and perfusion to the routine protocol. This review summarizes the technique, potential implications and previously published studies about multiparametric MRI of rectal cancer.
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Affiliation(s)
- Bengi Gürses
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Medine Böge
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Emre Altınmakas
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Emre Balık
- Department of General Surgery, Koç University School of Medicine, İstanbul, Turkey
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20
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Challenges and Promises of Radiomics for Rectal Cancer. CURRENT COLORECTAL CANCER REPORTS 2019. [DOI: 10.1007/s11888-019-00446-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Locally advanced rectal cancer: qualitative and quantitative evaluation of diffusion-weighted magnetic resonance imaging in restaging after neoadjuvant chemo-radiotherapy. Abdom Radiol (NY) 2019; 44:3664-3673. [PMID: 31004202 DOI: 10.1007/s00261-019-02012-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To determine the added value of qualitative and quantitative evaluation of diffusion-weighted magnetic resonance imaging (DWI) in locally advanced rectal cancer (LARC) restaging after neoadjuvant chemo-radiotherapy (CRT). MATERIALS AND METHODS A retrospective study was performed of 21 patients with LARC treated with CRT. All patients were evaluated with 1.5 T conventional magnetic resonance imaging (MRI) and DWI (0-1000 s/mm²) before starting therapy and after neoadjuvant CRT. All included patients underwent surgery after CRT: the histopathological evaluation of surgical specimens represented the reference standard for local staging after neoadjuvant therapy. The qualitative analysis was carried out by two operators in consensus, who reviewed the conventional MR image set [T1-weighted and T2-weighted morphological sequences + dynamic contrast-enhanced sequences (DCE)] and the combined set of conventional and DW images. For the quantitative analysis, the apparent diffusion coefficient (ADC) values were measured at each examination. For each lesion, the mean ADC value (ADCpre and ADCpost) and the ΔADC (ADCpost - ADCpre) were calculated, and values of the three groups of response [complete response (pCR), partial response (pPR), stable disease (pSD)] were compared. RESULTS In LARC restaging, conventional MRI showed a sensitivity of 80% and a specificity of 50%, with a total diagnostic capacity of 71.40%, while by adding DWI sensitivity increased to 100%, specificity to 67%, and total diagnostic capacity to 90.40%. ΔADC correlates with treatment response and a cutoff of 1.35 × 10-3 mm²/s predicts the pCR with a sensitivity of 93.3% and a specificity of 83.3%. CONCLUSIONS Adding DWI to conventional sequences may improve MRI capability to evaluate tumor response to CRT. The quantitative DWI assessment is promising, but larger studies are required.
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Gursoy Coruh A, Peker E, Elhan A, Erden I, Erden A. Evaluation of Extramural Venous Invasion by Diffusion-Weighted Magnetic Resonance Imaging and Computed Tomography in Rectal Adenocarcinoma. Can Assoc Radiol J 2019; 70:457-465. [PMID: 31582328 DOI: 10.1016/j.carj.2019.06.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 05/30/2019] [Accepted: 06/09/2019] [Indexed: 02/07/2023] Open
Abstract
PURPOSE The aim of this study is to evaluate the diagnostic contribution of diffusion-weighted magnetic resonance imaging (MRI) and computed tomography (CT) to distinguish extramural venous invasion (EMVI) in rectal adenocarcinoma. MATERIALS AND METHODS Fifty-eight patients who had been diagnosed with rectal adenocarcinoma (30 patients with EMVI and 28 patients without EMVI) were enrolled in the study. Apparent diffusion coefficient (ADC) values of the tumour and the EMVI (+) vein, the lengths of the tumours were measured on MRI. The diameters of the superior rectal vein (SRV)-inferior mesenteric vein (IMV) and distant metastatic spread were evaluated on CT. The ability of these findings to detect EMVI was assessed using receiver operating characteristic (ROC) analysis. Pathology was accepted as the reference test for EMVI. RESULTS Mean diameters of the SRV (4.9 ± 0.9 mm vs 3.7 ± 0.8 mm) and IMV (6.9 ± 0.8 mm vs 5.4 ± 0.9 mm) were significantly larger (P < .001) and tumour ADC values were significantly lower (0.926 ± 0.281 × 10-3 mm2/s vs 1.026 ± 0.246 × 10-3 mm2/s; P = .032) in EMVI (+) patients. Diameters of 3.95 mm for the SRV (area under the curve [AUC] ± standard error [SE]: 0.851 ± 0.051, P < .001, sensitivity: 93.3%, specificity: 67.9%) and 5.95 mm for the IMV (AUC ± SE: 0.893 ± 0.040, P < .001, sensitivity: 93.3%, specificity: 71.4%) and an ADC value of 0.929 × 10-3 mm2/s (AUC ± SE: 0.664 ± 0.072, P = .032 sensitivity: 76.7%, specificity: 57.1%) were found to be cutoff values, determined by ROC analysis, for detection of EMVI. Distant metastases were significantly more prevalent in EMVI (+) patients (P < .001). CONCLUSION The measurement of ADC values and SRV-IMV diameters seems to have contribution for diagnosis of EMVI in rectal adenocarcinoma. EMVI (+) patients appear to have higher risks of distant metastases at diagnosis.
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Affiliation(s)
| | - Elif Peker
- Department of Radiology, School of Medicine, Ankara University, Ankara, Turkey
| | - Atilla Elhan
- Department of Biostatistics, School of Medicine, Ankara University, Ankara, Turkey
| | - Ilhan Erden
- Department of Radiology, School of Medicine, Ankara University, Ankara, Turkey
| | - Ayse Erden
- Department of Radiology, School of Medicine, Ankara University, Ankara, Turkey
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Nougaret S, Castan F, de Forges H, Vargas HA, Gallix B, Gourgou S, Rouanet P. Early MRI predictors of disease-free survival in locally advanced rectal cancer from the GRECCAR 4 trial. Br J Surg 2019; 106:1530-1541. [PMID: 31436325 DOI: 10.1002/bjs.11233] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 04/05/2019] [Accepted: 04/14/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Tailored neoadjuvant treatment of locally advanced rectal cancer (LARC) may improve outcomes. The aim of this study was to determine early MRI prognostic parameters with which to stratify neoadjuvant treatment in patients with LARC. METHODS All patients from a prospective, phase II, multicentre randomized study (GRECCAR4; NCT01333709) were included, and underwent rectal MRI before treatment, 4 weeks after induction chemotherapy and after completion of chemoradiotherapy (CRT). Tumour volumetry, MRI tumour regression grade (mrTRG), T and N categories, circumferential resection margin (CRM) status and extramural vascular invasion identified by MRI (mrEMVI) were evaluated. RESULTS A total of 133 randomized patients were analysed. Median follow-up was 41·4 (95 per cent c.i. 36·6 to 45·2) months. Thirty-one patients (23·3 per cent) developed tumour recurrence. In univariable analysis, mrEMVI at baseline was the only prognostic factor associated with poorer outcome (P = 0·015). After induction chemotherapy, a larger tumour volume on MRI (P = 0·019), tumour volume regression of 60 per cent or less (P = 0·002), involvement of the CRM (P = 0·037), mrEMVI (P = 0·026) and a poor mrTRG (P = 0·023) were associated with poor outcome. After completion of CRT, the absence of complete response on MRI (P = 0·004), mrEMVI (P = 0·038) and a poor mrTRG (P = 0·005) were associated with shorter disease-free survival. A final multivariable model including all significant variables (baseline, after induction, after CRT) revealed that Eastern Cooperative Oncology Group performance status (P = 0·011), sphincter involvement (P = 0·009), mrEMVI at baseline (P = 0·002) and early tumour volume regression of 60 per cent or less after induction (P = 0·007) were associated with relapse. CONCLUSION Baseline and early post-treatment MRI parameters are associated with prognosis in LARC. Future preoperative treatment should stratify treatment according to baseline mrEMVI status and early tumour volume regression.
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Affiliation(s)
- S Nougaret
- Department of Radiology, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France.,Institut de Recherche en Cancérologie de Montpellier, Institut National de la Santé et de la Recherche Médicale, U1194, Montpellier, France
| | - F Castan
- Biometrics Unit, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France
| | - H de Forges
- Clinical Research Unit, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France
| | - H A Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - B Gallix
- Department of Radiology, Royal Victoria Hospital, McGill University Health Centre, Montreal, Quebec, Canada
| | - S Gourgou
- Biometrics Unit, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France
| | - P Rouanet
- Department of Surgical Oncology, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France
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Brown PJ, Hyland R, Quyn AJ, West NP, Sebag-Montefiore D, Jayne D, Sagar P, Tolan DJ. Current concepts in imaging for local staging of advanced rectal cancer. Clin Radiol 2019; 74:623-636. [PMID: 31036310 DOI: 10.1016/j.crad.2019.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/22/2019] [Indexed: 12/20/2022]
Abstract
Imaging of rectal cancer has an increasingly pivotal role in the diagnosis, staging, and treatment stratification of patients with the disease. This is particularly true for advanced rectal cancers where magnetic resonance imaging (MRI) findings provide essential information that can change treatment. In this review we describe the rationale for the current imaging standards in advanced rectal cancer for both morphological and functional imaging on the baseline staging and reassessment studies. In addition the clinical implications and future methods by which radiologists may improve these are outlined relative to TNM8.
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Affiliation(s)
- P J Brown
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK.
| | - R Hyland
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - A J Quyn
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - N P West
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Welcome Trust Brenner Building, St James's University Hospital, Leeds, LS9 7TF, UK
| | - D Sebag-Montefiore
- Department of Clinical Oncology, Bexley Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D Jayne
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - P Sagar
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D J Tolan
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
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25
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Value of High-Resolution DWI in Combination With Texture Analysis for the Evaluation of Tumor Response After Preoperative Chemoradiotherapy for Locally Advanced Rectal Cancer. AJR Am J Roentgenol 2019; 212:1279-1286. [PMID: 30860889 DOI: 10.2214/ajr.18.20689] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE. The purpose of this study is to determine the performance of the apparent diffusion coefficient (ADC) value calculated from high-resolution DWI using readout-segmented echo-planar imaging (rs-EPI) and to assess the texture parameters of T2-weighted MR images in identifying pathologic complete response (pCR) after patients with locally advanced rectal cancer (LARC) undergo preoperative chemoradiotherapy (CRT). MATERIALS AND METHODS. A total of 76 patients with LARC who underwent preoperative CRT and subsequent surgery were enrolled in the study retrospectively. All patients underwent post-CRT MRI, which included acquisition of a DWI sequence with use of the rs-EPI technique. The histopathologic tumor regression grade was the reference standard. Patients were subdivided into pCR and non-pCR groups. Two radiologists independently drew whole-tumor ROIs on DW images and T2-weighted MR images to calculate the mean ADC value and first-order texture parameters. RESULTS. Interobserver agreement was good to excellent (intraclass correlation coefficient [ICC], 0.79-0.993) for imaging analysis. Calculated from high-resolution DWI, the mean post-CRT ADC value was significantly higher in the pCR group (p < 0.001). The pCR group also showed lower uniformity (p < 0.001) of the T2-weighted image. The mean ADC value and uniformity were significantly correlated with the tumor regression grade. The mean ADC value was a good indicator for differentiating pCR from absence of pCR (ROC AUC value, 0.912). Uniformity (ROC AUC value, 0.776) showed a moderate ability to identify pCR. Combining the mean ADC value and uniformity yielded an ROC AUC value comparable to that of the mean ADC value (p = 0.125). CONCLUSION. Mean post-CRT ADC values calculated from high-resolution DWI using rs-EPI could effectively select for patients with LARC who have a pCR after preoperative CRT. First-order texture parameters of T2-weighted MR images could also identify patients with pCR by reflecting tumor heterogeneity, even though they could not significantly improve the diagnostic performance.
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Schurink NW, Lambregts DMJ, Beets-Tan RGH. Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. Br J Radiol 2019; 92:20180655. [PMID: 30433814 DOI: 10.1259/bjr.20180655] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
This review summarizes current applications and clinical utility of diffusion-weighted imaging (DWI) for rectal cancer and in addition provides a brief overview of more recent developments (including intravoxel incoherent motion imaging, diffusion kurtosis imaging, and novel postprocessing tools) that are still in more early stages of research. More than 140 papers have been published in the last decade, during which period the use of DWI have slowly moved from mainly qualitative (visual) image interpretation to increasingly advanced methods of quantitative analysis. So far, the largest body of evidence exists for assessment of tumour response to neoadjuvant treatment. In this setting, particularly the benefit of DWI for visual assessment of residual tumour in post-radiation fibrosis has been established and is now increasingly adopted in clinics. Quantitative DWI analysis (mainly the apparent diffusion coefficient) has potential, both for response prediction as well as for tumour prognostication, but protocols require standardization and results need to be prospectively confirmed on larger scale. The role of DWI for further clinical tumour and nodal staging is less well-defined, although there could be a benefit for DWI to help detect lymph nodes. Novel methods of DWI analysis and post-processing are still being developed and optimized; the clinical potential of these tools remains to be established in the upcoming years.
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Affiliation(s)
- Niels W Schurink
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
| | | | - Regina G H Beets-Tan
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
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Lambregts DMJ, Boellaard TN, Beets-Tan RGH. Response evaluation after neoadjuvant treatment for rectal cancer using modern MR imaging: a pictorial review. Insights Imaging 2019; 10:15. [PMID: 30758688 PMCID: PMC6375095 DOI: 10.1186/s13244-019-0706-x] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 10/24/2018] [Indexed: 01/02/2023] Open
Abstract
In recent years, neoadjuvant chemoradiotherapy (CRT) has become the standard of care for patients with locally advanced rectal cancer. Until recently, patients routinely proceeded to surgical resection after CRT, regardless of the response. Nowadays, treatment is tailored depending on the response to chemoradiotherapy. In patients that respond very well to CRT, organ-preserving treatments such as watch-and-wait are increasingly considered as an alternative to surgery. To facilitate such personalized treatment planning, there is now an increased demand for more detailed radiological response evaluation after chemoradiation. MRI is one of the main tools used to assess response, but has difficulties in assessing response within areas of post-radiation fibrosis. Hence, MR sequences such as diffusion-weighted imaging are increasingly adopted in clinical MR protocols to improve the differentiation between tumor and fibrosis. In this pictorial review, we discuss the strengths and weaknesses of modern MR imaging, including functional imaging sequences such as diffusion-weighted MRI, for response evaluation after chemoradiation treatment and provide the main pearls and pitfalls for image interpretation.
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Affiliation(s)
- Doenja M J Lambregts
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Thierry N Boellaard
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands.,GROW School for Oncology and Developmental Biology - Maastricht University, Maastricht, The Netherlands
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28
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Magnetic resonance imaging in locally advanced rectal cancer: quantitative evaluation of the complete response to neoadjuvant therapy. Pol J Radiol 2018; 83:e600-e609. [PMID: 30800199 PMCID: PMC6384410 DOI: 10.5114/pjr.2018.81156] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Accepted: 09/13/2018] [Indexed: 02/01/2023] Open
Abstract
Purpose To assess the diagnostic performance of diffusion-weighted imaging (DWI) for the discrimination of complete responder (CR) from the non-complete responder (n-CR) in patients with locally advanced rectal cancer (LARC) undergoing chemotherapy and radiation (CRT). Material and methods Between December 2009 and January 2014, 32 patients (33 lesions: one patient had two synchronous lesions) were enrolled in this retrospective study. All patients underwent a pre- and post-CRT conventional MRI study completed with DWI. For both data sets (T2-weighted and DWI), the pre- and post-CRT tumour volume (VT2; VDWI) and the tumour volume reduction ratio (ΔV%) were determined as well as pre- and post-CRT apparent diffusion coefficient (ADC) and ADC change (ΔADC%). Histopathological findings were the standard of reference. Receiver operating characteristic (ROC) curves were generated to compare performance of T2-weighted and DWI volumetry, as well as ADC. Results The area under the ROC curve (AUC) revealed a good accuracy of pre- and post-CRT values of VT2 (0.86; 0.91) and VDWI (0.82; 1.00) as well as those of ΔVT2% (0.84) and ΔVDWI% (1.00) for the CR assessment, with no statistical difference. The AUC of pre- and post-CRT ADC (0.53; 0.54) and that of ΔADC% (0.58) were significantly lower. Conclusions Both post-CRT VDWI and ΔVDWI% (AUC = 1) are very accurate for the assessment of the CR, in spite of no significant differences in comparison to the conventional post-CRT VT2 (AUC = 0.91) and ΔVT2% (AUC = 0.84). On the contrary, both ADC and ΔADC% values are not reliable.
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29
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MRI-Based Apparent Diffusion Coefficient for Predicting Pathologic Response of Rectal Cancer After Neoadjuvant Therapy: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2018; 211:W205-W216. [PMID: 30240291 DOI: 10.2214/ajr.17.19135] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The purpose of this study was to assess the use of apparent diffusion coefficient (ADC) during DWI for predicting complete pathologic response of rectal cancer after neoadjuvant therapy. MATERIALS AND METHODS A systematic review of available literature was conducted to retrieve studies focused on the identification of complete pathologic response of locally advanced rectal cancer after neoadjuvant chemoradiation, through the assessment of ADC evaluated before, after, or both before and after treatment, as well as in terms of the difference between pretreatment and posttreatment ADC. Pooled mean pretreatment ADC, posttreatment ADC, and Δ-ADC (calculated as posttreatment ADC minus pretreatment ADC divided by pretreatment ADC and multiplied by 100) in complete responders versus incomplete responders were calculated. For each parameter, we also pooled sensitivity and specificity and calculated the area under the summary ROC curve. RESULTS We found 10 prospective and eight retrospective studies. Overall, pathologic complete response was observed in 22.2% of patients. Pooled mean pretreatment ADC in complete responders was 0.84 × 10-3 mm2/s versus 0.89 × 10-3 mm2/s in incomplete responders (p = 0.33). Posttreatment ADC values were 1.51 × 10-3 mm2/s and 1.29 × 10-3 mm2/s, in complete and incomplete responders, respectively (p = 0.00001). The Δ-ADC percentages were also significantly higher in complete responders than in incomplete responders (59.7% vs 29.7%, respectively, p = 0.016). Pooled sensitivity, specificity, and AUC were 0.743, 0.755, and 0.841 for pretreatment ADC; 0.800, 0.737, and 0.782 for posttreatment ADC; and 0.832, 0.806, and 0.895 for Δ-ADC. CONCLUSION Use of ADC during DWI is a promising technique for assessment of results of neoadjuvant treatment of rectal cancer.
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Kim S, Han K, Seo N, Kim HJ, Kim MJ, Koom WS, Ahn JB, Lim JS. T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer. Eur Radiol 2018; 28:5231-5240. [PMID: 29858637 DOI: 10.1007/s00330-018-5520-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 04/22/2018] [Accepted: 04/27/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To evaluate the diagnostic value of signal intensity (SI)-selected volumetry findings in T2-weighted magnetic resonance imaging (MRI) as a potential biomarker for predicting pathological complete response (pCR) to preoperative chemoradiotherapy (CRT) in patients with rectal cancer. METHODS Forty consecutive patients with pCR after preoperative CRT were compared with 80 age- and sex-matched non-pCR patients in a case-control study. SI-selected tumor volume was measured on post-CRT T2-weighted MRI, which included voxels of the treated tumor exceeding the SI (obturator internus muscle SI + [ischiorectal fossa fat SI - obturator internus muscle SI] × 0.2). Three blinded readers independently rated five-point pCR confidence scores and compared the diagnostic outcome with SI-selected volumetry findings. The SI-selected volumetry protocol was validated in 30 additional rectal cancer patients. RESULTS The area under the receiver-operating characteristic curve (AUC) of SI-selected volumetry for pCR prediction was 0.831, with an optimal cutoff value of 649.6 mm3 (sensitivity 0.850, specificity 0.725). The AUC of the SI-selected tumor volume was significantly greater than the pooled AUC of readers (0.707, p < 0.001). At this cutoff, the validation trial yielded an accuracy of 0.87. CONCLUSION SI-selected volumetry in post-CRT T2-weighted MRI can help predict pCR after preoperative CRT in patients with rectal cancer. KEY POINTS • Fibrosis and viable tumor MRI signal intensities (SIs) are difficult to distinguish. • T2 SI-selected volumetry yields high diagnostic performance for assessing pathological complete response. • T2 SI-selected volumetry is significantly more accurate than readers and non-SI-selected volumetry. • Post-chemoradiation therapy T2-weighted MRI SI-selected volumetry facilitates prediction of pathological complete response.
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Affiliation(s)
- Sungwon Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Shinchon-dong, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Kyunghwa Han
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Shinchon-dong, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Nieun Seo
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Shinchon-dong, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Hye Jin Kim
- Department of Radiology, Ajou University Hospital, Suwon, Republic of Korea
| | - Myeong-Jin Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Shinchon-dong, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Woong Sub Koom
- Department of Radiation Oncology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joong Bae Ahn
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joon Seok Lim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Shinchon-dong, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
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Bali MA, Pullini S, Metens T, Absil J, Chao SL, Marechal R, Matos C, Peerboccus BM, Van Laethem JL. Assessment of response to chemotherapy in pancreatic ductal adenocarcinoma: Comparison between diffusion-weighted MR quantitative parameters and RECIST. Eur J Radiol 2018; 104:49-57. [PMID: 29857866 DOI: 10.1016/j.ejrad.2018.04.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 03/22/2018] [Accepted: 04/24/2018] [Indexed: 02/08/2023]
Abstract
PURPOSE To prospectively assess chemotherapy-induced changes in pancreatic ductal adenocarcinoma (PDA) with diffusion-weighted (DW)-MR quantitative metrics, including apparent diffusion coefficient (ADC) and histogram-derived parameters, compared with RECIST 1.1. METHODS 24 patients underwent DW-MR at baseline, week-2 and week-8 after chemotherapy initiation. Tumour diameter was assessed on T2-weighted images. Regions-of-interest (ROI) were drawn on ADC map for ROI-ADC. Volume segmentation (b = 1000 s/mm2 images) provided DW-volume and histogram-derived diffusion parameters (H-ADC, H-D and H-PF). All variables and their relative change were compared to baseline or between responders and non-responders. Discriminant analysis was performed. RESULTS 15/24 patients were responders. RECIST 1.1 correctly characterized 6/15 responders at week-8. At week-2, in responders DW-volume decreased (P = .002); ROI-ADC mean H-D increased (P = .047; P = .048;). The 25th percentile H-D increased in responders and decreased in non-responders (P = .016; P = .048). At week-8 in responders DW-volume decreased and ROI-ADC mean, 25th, 50th, 75th percentiles of H-ADC and H-D increased (P < .05). No changes were observed in non-responders (P > .05). At week-2, 25th percentile of H-D and H-PF relative change correctly classified 20/24 patients (P = .003); at week-8, DW-volume relative change correctly classified 22/24 patients (P < .0001). CONCLUSIONS ROI-ADC, DW-volume and histogram-derived diffusion parameters are more accurate to categorize responding and non-responding PDA patients treated with chemotherapy compared with RECIST 1.1.
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Affiliation(s)
- Maria Antonietta Bali
- Department of Radiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Serena Pullini
- Institute of Diagnostic Radiology, University of Udine, Udine, Italy.
| | - Thierry Metens
- Department of Radiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Julie Absil
- Department of Radiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Shih-Li Chao
- Department of Radiology, Institute Jules Bordet, Boulevard de Waterloo, 121, 1000 Brussels, Belgium.
| | - Raphael Marechal
- Department of Gastroenterology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Celso Matos
- Department of Radiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Bibi Mooneera Peerboccus
- Department of Radiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
| | - Jean-Luc Van Laethem
- Department of Gastroenterology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium.
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Intravoxel Incoherent Motion MRI of Rectal Cancer: Correlation of Diffusion and Perfusion Characteristics With Prognostic Tumor Markers. AJR Am J Roentgenol 2018; 210:W139-W147. [PMID: 29446674 DOI: 10.2214/ajr.17.18342] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The objective of our study was to evaluate the intravoxel incoherent motion (IVIM)-DWI derived parameters and their relationships with tumor prognostic markers using 3-T MRI in patients with rectal cancer. SUBJECTS AND METHODS Fifty-two patients with histopathologically proven rectal cancer who underwent preoperative pelvic MRI were prospectively enrolled in this study. Diffusion and perfusion parameters including the apparent diffusion coefficient (ADC), pure diffusion coefficient, perfusion fraction, and pseudodiffusion coefficient derived from IVIMDWI were independently measured by two radiologists. Comparisons of IVIM-DWI-derived parameters in patients with different tumor prognostic markers were made using the independent-samples t test, ANOVA, and Mann-Whitney U test. The correlations between IVIM-DWI-derived parameters and tumor grade and tumor stage were further evaluated using Spearman correlation analysis. Interobserver agreement was evaluated using the intraclass correlation coefficient (ICC). RESULTS Excellent interobserver reproducibility was obtained for the IVIM-DWI-derived parameters (range of ICCs with 95% limits of agreement = 0.9309-0.9948, which is narrow). ADC, pseudodiffusion coefficient, and perfusion fraction tended to rise with greater tumor differentiation (r = 0.520, p < 0.001; r = 0.447, p = 0.001; r = 0.354, p = 0.010, respectively). The pure diffusion coefficient and pseudodiffusion coefficient showed a trend of decreasing with increasing tumor stages (r = 0.479, p < 0.001; r = 0.517, p < 0.001). The group of patients with extramural vascular invasion (EMVI) showed lower pseudodiffusion coefficient values than the group of patients with no EMVI (p < 0.05). CONCLUSION IVIM-DWI-derived parameters in patients with rectal cancer, especially the pseudodiffusion coefficient, are associated with tumor grade and tumor stage and show statistically significant differences between subjects with EMVI and those without EMVI. IVIM-DWI-derived parameters would be helpful in predicting tumor aggressiveness and prognosis.
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Xu Q, Xu Y, Sun H, Chan Q, Shi K, Song A, Wang W. Quantitative intravoxel incoherent motion parameters derived from whole-tumor volume for assessing pathological complete response to neoadjuvant chemotherapy in locally advanced rectal cancer. J Magn Reson Imaging 2017; 48:248-258. [PMID: 29281151 DOI: 10.1002/jmri.25931] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/07/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Many locally advanced rectal cancer (LARC) patients can benefit from neoadjuvant chemotherapy (NACT), with some achieving a pathological complete response (pCR). However, there is limited research reporting on the value of intravoxel incoherent motion (IVIM) in monitoring pCR in patients with LARC. PURPOSE To identify whether IVIM parameters derived from whole-tumor volume (WTV) before and after NACT could accurately assess pCR in patients with LARC. STUDY TYPE Prospective patient control study. POPULATION Fifty-one patients with LARC before and after NACT, prior to surgery. FIELD STRENGTH/SEQUENCE IVIM-diffusion imaging at 3T. ASSESSMENT Apparent diffusion coefficient (ADC), slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion-related diffusion fraction (f) values were obtained on diffusion-weighted magnetic resonance images (DW-MRI) using WTV methods and calculated using a biexponential model before and after NACT. STATISTICAL TESTS DWI-derived ADC and IVIM-derived parameters and their percentage changes (ΔADC%, ΔD%, ΔD*%, and Δf%) were compared using independent-samples t-test and Mann-Whitney U-test between the pCR and non-pCR groups. The diagnostic performance of IVIM parameters and their percentage changes were evaluated using receiver operating characteristic curves. RESULTS Compared with the non-pCR group, the pCR group exhibited significantly lower pre-ADCmean (P = 0.003) and pre-D values (P = 0.024), and significantly higher post-f (P = 0.002), ΔADCmean % (P = 0.002), ΔD% (P = 0.001), and Δf% values (P = 0.017). Receiver operating characteristic curves showed that the pre-D value had the best specificity (95.12%) and accuracy (86.27%) in predicting the pCR status, and ΔD% had the highest area under the curve (0.832) in assessing the pCR response to NACT. DATA CONCLUSIONS The IVIM-derived D value is a promising tool in predicting the pCR status before therapy. The percentage changes in D values after therapy may help assess the pCR status prior to surgery. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017.
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Affiliation(s)
- Qiaoyu Xu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Xu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Hongliang Sun
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Queenie Chan
- Philips Healthcare, Shatin, New Territories, Hong Kong, China
| | | | - Aiping Song
- Department of Pathology, China-Japan Friendship Hospital, Beijing, China
| | - Wu Wang
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
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MRI texture analysis in predicting treatment response to neoadjuvant chemoradiotherapy in rectal cancer. Oncotarget 2017; 9:11999-12008. [PMID: 29552288 PMCID: PMC5844724 DOI: 10.18632/oncotarget.23813] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 10/28/2017] [Indexed: 12/14/2022] Open
Abstract
To evaluate the importance of MRI texture analysis in prediction and early assessment of treatment response before and early neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). This retrospective study comprised of 59 patients. The tumoral texture parameters were compared between pre- and early nCRT. Area Under receiver operating characteristic (ROC) Curves [AUCs] were used to compare the diagnostic performance of statistically significant difference parameters and logistic regression analysis predicted probabilities for discriminating responders and nonresponders. The Standard Deviation (SD), kurtosis and uniformity were statistically significantly difference between pre- and early nCRT (p = 0.0012, 0.0001, and < 0.0001, respectively). In pathological complete response (pCR) group, pre-uniformity and pre-Energy were significantly higher than that of nonresponders (p = 0.03 and p < 0.01, respectively), while the pre-entropy in nonresponder was reverse (p = 0.01). The diagnostic performance of pre-kurtosis and pre-Energy were higher in tumor regression grade (TRG) and pCR group (AUC = 0.67, 0.73, respectively). Logistic regression analysis showed that diagnostic performance for prediction responder and nonresponder did not significantly improve compared with to pre-uniformity, energy and entropy in pCR group (AUC = 0.76, p = 0.2794, 0.4222 and 0.3512, respectively). Texture parameters as imaging biomarkers have the potential to prediction and early assessment of tumoral treatment response to neoadjuvant chemoradiotherapy in patients with LARC.
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Zhang C, Ye F, Liu Y, Ouyang H, Zhao X, Zhang H. Morphologic predictors of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Oncotarget 2017; 9:4862-4874. [PMID: 29435147 PMCID: PMC5797018 DOI: 10.18632/oncotarget.23419] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 10/02/2017] [Indexed: 12/16/2022] Open
Abstract
Purpose To evaluate the value of morphological parameters that can be obtained conveniently by MRI for predicting pathologically complete response (pCR) in patients with rectal cancer. Materials and Methods A cohort of 101 patients was examined using MRI before and after Neoadjuvant chemoradiotherapy (nCRT). Morphological parameters including maximum tumor area (MTA), maximum tumor length (MTL) and maximum tumor thickness (MTT), as well as cylindrical approximated tumor volume (CATV), distance to anal verge (DTA), and the reduction rates were evaluated by two experienced readers independently. Results Post-nCRT MTA and MTL, reduction rates and pre-nCRT DTA were proved to be significantly different between pCR and non-pCR with the AUCs of 0.672-0.853. The sensitivity and specificity for assessing pCR were 61.1-89.9% and 59.0-80.7% respectively. No significant correlation between pre-nCRT size measurements and pCR was obtained. Conclusion The convenient morphological measurements may be useful for predicting pCR with moderate sensitivity and specificity. Combining these predictors with the aim of building diagnostic model should be explored.
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Affiliation(s)
- Chongda Zhang
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
| | - Yuan Liu
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
| | - Han Ouyang
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
| | - Hongmei Zhang
- Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021, China
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Modified 3-Point MRI-Based Tumor Regression Grade Incorporating DWI for Locally Advanced Rectal Cancer. AJR Am J Roentgenol 2017; 209:1247-1255. [PMID: 28981353 DOI: 10.2214/ajr.16.17242] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The purpose of this study was to evaluate the prognostic relevance of a modified 3-point MRI-based tumor regression grading system incorporating DWI for patients with locally advanced rectal cancer after preoperative chemoradiotherapy (CRT). MATERIALS AND METHODS Between March 2012 and September 2013, 118 consecutively registered patients with middle or lower locally advanced rectal cancer who underwent CRT followed by surgery were enrolled in this retrospective study. Two radiologists in consensus assessed MRI tumor regression grade (mrTRG) based on T2-weighted images and high b value DW images (0 and 1000 s/mm2) using the following grades: 0, complete regression (no obvious tumor); 1, intermediate regression (dominant fibrosis, regression > 50%); 2, poor regression (dominant tumor, regression ≤ 50%). Multivariate analysis with a Cox regression model was performed to evaluate the association between modified mrTRG and 3-year disease-free survival (DFS) rate. A Kaplan-Meier method with a log-rank test was used to compare the DFS rate between responder (grades 0 and 1) and nonresponder (grade 2) groups. RESULTS Both the accuracy (72.9% vs 38.1%; p < 0.001) and the interreader agreement (κ = 0.580 vs 0.338; p < 0.001) of modified 3-point mrTRG were improved over the established 5-point mrTRG. Modified mrTRG (adjusted hazard ratio, 2.505; 95% CI, 1.231-5.100) was independently associated with 3-year DFS rate (p = 0.011). There was also a significant difference in the 3-year DFS rate between responders (73.8%; 95% CI, 64.2-81.3%) and nonresponders (41.7%; 95% CI, 10.9-70.8%) (p = 0.028). CONCLUSION In patients with middle or lower locally advanced rectal cancer, the modified 3-point mrTRG incorporating DWI was independently associated with the 3-year DFS rate after CRT followed by surgery. The grading scale may be used as a surrogate for expected prognosis of preoperative CRT. Further prospective trials are warranted.
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Lu W, Jing H, Ju-Mei Z, Shao-Lin N, Fang C, Xiao-Ping Y, Qiang L, Biao Z, Su-Yu Z, Ying H. Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Sci Rep 2017; 7:8496. [PMID: 28819296 PMCID: PMC5561073 DOI: 10.1038/s41598-017-09227-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/17/2017] [Indexed: 02/07/2023] Open
Abstract
To investigate the usefulness of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in discriminating the pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC), 42 patients underwent preoperative IVIM-DWI before (pre-nCRT) and after nCRT (post-nCRT). The values of pre-nCRT and post-nCRT IVIM-DWI parameters (ADC, D, D* and f), together with the percentage changes (∆% parametric value) induced by nCRT, were compared between the pCR (tumour regression grade [TRG] 4) and non-pCR (TRG 0, 1, 2 or 3) groups and between the GR (TRG 3 or 4) and PR (TRG 0, 1 or 2) groups based on the Dworak TRG system. After nCRT, the ADC and D values for LARC increased significantly (all P < 0.05). The TRG score revealed a positive correlation with pref (r = 0.357, P = 0.020), postD (r = 0.551, P < 0.001) and Δ%D (r = 0.605, P < 0.001). The pCR group (n = 10) had higher preD*, pref, postD, ∆%ADC and ∆%D values than the non-pCR group (n = 32) (all P < 0.05). The GR group (n = 15) exhibited higher postD, ∆%ADC and ∆%D values than the PR group (n = 27) (all P < 0.05). Based on ROC analysis, ∆%D had a higher area under the curve value than ∆%ADC (P = 0.009) in discriminating the pCR from non-pCR groups. In conclusion, IVIM-DWI may be helpful in identifying the pCR to nCRT for LARC and is more accurate than traditional DWI.
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Affiliation(s)
- Wen Lu
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Hou Jing
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zhou Ju-Mei
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Nie Shao-Lin
- Department of Colorectal Surgery, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Cao Fang
- Department of Pathology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, P.R. China
| | - Yu Xiao-Ping
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China.
| | - Lu Qiang
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zeng Biao
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zhu Su-Yu
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Hu Ying
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China.
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Fusco R, Petrillo M, Granata V, Filice S, Sansone M, Catalano O, Petrillo A. Magnetic Resonance Imaging Evaluation in Neoadjuvant Therapy of Locally Advanced Rectal Cancer: A Systematic Review. Radiol Oncol 2017; 51:252-262. [PMID: 28959161 PMCID: PMC5611989 DOI: 10.1515/raon-2017-0032] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 06/21/2017] [Indexed: 02/07/2023] Open
Abstract
Background The aim of the study was to present an update concerning several imaging modalities in diagnosis, staging and pre-surgery treatment response assessment in locally advanced rectal cancer (LARC). Modalities include: traditional morphological magnetic resonance imaging (MRI), functional MRI such as dynamic contrast enhanced MRI (DCE-MRI) and diffusion weighted imaging (DWI). A systematic review about the diagnostic accuracy in neoadjuvant therapy response assessment of MRI, DCE-MRI, DWI and Positron Emission Tomography/Computed Tomography (PET/CT) has been also reported. Methods Several electronic databases were searched including PubMed, Scopus, Web of Science, and Google Scholar. All the studies included in this review reported findings about therapy response assessment in LARC by means of MRI, DCE-MRI, DWI and PET/CT with details about diagnostic accuracy, true and false negatives, true and false positives. Forest plot and receiver operating characteristic (ROC) curves analysis were performed. Risk of bias and the applicability at study level were calculated. Results Twenty-five papers were identified. ROC curves analysis demonstrated that multimodal imaging integrating morphological and functional MRI features had the best accuracy both in term of sensitivity and specificity to evaluate preoperative therapy response in LARC. DCE-MRI following to PET/CT showed high diagnostic accuracy and their results are also more reliable than conventional MRI and DWI alone. Conclusions Morphological MRI is the modality of choice for rectal cancer staging permitting a correct assessment of the disease extent, of the lymph node involvement, of the mesorectal fascia and of the sphincter complex for surgical planning. Multimodal imaging and functional DCE-MRI may also help in the assessment of treatment response allowing to guide the surgeon versus conservative strategies and/or tailored approach such as “wait and see” policy.
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Affiliation(s)
- Roberta Fusco
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
| | - Mario Petrillo
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
| | - Vincenza Granata
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
| | - Salvatore Filice
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
| | - Mario Sansone
- Department of Electrical Engineering and Information Technologies, Università degli Studi di Napoli Federico II, Via Claudio, Naples, Italy
| | - Orlando Catalano
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
| | - Antonella Petrillo
- Radiology Unit, Dipartimento di Supporto ai Percorsi Oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS -Fondazione G. Pascale, Via Mariano Semmola, Naples, Italy
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Trebeschi S, van Griethuysen JJM, Lambregts DMJ, Lahaye MJ, Parmar C, Bakers FCH, Peters NHGM, Beets-Tan RGH, Aerts HJWL. Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR. Sci Rep 2017; 7:5301. [PMID: 28706185 PMCID: PMC5509680 DOI: 10.1038/s41598-017-05728-9] [Citation(s) in RCA: 165] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 06/01/2017] [Indexed: 11/24/2022] Open
Abstract
Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed information of the physical characteristics of rectum tumours. Several investigations suggest that volumetric analyses on anatomical and functional MRI contain clinically valuable information. However, manual delineation of tumours is a time consuming procedure, as it requires a high level of expertise. Here, we evaluate deep learning methods for automatic localization and segmentation of rectal cancers on multiparametric MR imaging. MRI scans (1.5T, T2-weighted, and DWI) of 140 patients with locally advanced rectal cancer were included in our analysis, equally divided between discovery and validation datasets. Two expert radiologists segmented each tumor. A convolutional neural network (CNN) was trained on the multiparametric MRIs of the discovery set to classify each voxel into tumour or non-tumour. On the independent validation dataset, the CNN showed high segmentation accuracy for reader1 (Dice Similarity Coefficient (DSC = 0.68) and reader2 (DSC = 0.70). The area under the curve (AUC) of the resulting probability maps was very high for both readers, AUC = 0.99 (SD = 0.05). Our results demonstrate that deep learning can perform accurate localization and segmentation of rectal cancer in MR imaging in the majority of patients. Deep learning technologies have the potential to improve the speed and accuracy of MRI-based rectum segmentations.
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Affiliation(s)
- Stefano Trebeschi
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joost J M van Griethuysen
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Chintan Parmar
- Department of Radiation Oncology and Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Frans C H Bakers
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Nicky H G M Peters
- Department of Radiology, Zuyderland Medical Center, location Heerlen, Heerlen, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Hugo J W L Aerts
- Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Department of Radiation Oncology and Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
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Pham TT, Liney GP, Wong K, Barton MB. Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer. Br J Radiol 2017; 90:20151078. [PMID: 28055248 DOI: 10.1259/bjr.20151078] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Despite advances in multimodality treatment strategies for locally advanced rectal cancer and improvements in locoregional control, there is still a considerable variation in response to neoadjuvant chemoradiotherapy (CRT). Accurate prediction of response to neoadjuvant CRT would enable early stratification of management according to good responders and poor responders, in order to adapt treatment to improve therapeutic outcomes in rectal cancer. Clinical studies in diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI have shown promising results for the prediction of therapeutic response in rectal cancer. DWI allows for assessment of tumour cellularity. DCE-MRI enables evaluation of factors of the tumour microvascular environment and changes in perfusion in response to treatment. Studies have demonstrated that predictors of good response to CRT include lower tumour pre-CRT apparent diffusion coefficient (ADC), greater percentage increase in ADC during and post CRT, and higher pre-CRT Ktrans. However, the mean ADC and Ktrans values do not adequately reflect tumour heterogeneity. Multiparametric MRI using quantitative DWI and DCE-MRI in combination, and a histogram analysis technique can assess tumour heterogeneity and its response to treatment. This strategy has the potential to improve the accuracy of therapeutic response prediction in rectal cancer and warrants further investigation.
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Affiliation(s)
- Trang T Pham
- 1 Department of Radiation Oncology, Liverpool Hospital, Sydney, NSW, Australia.,2 Sydney West Radiation Oncology Network, Westmead, Blacktown and Nepean Hospitals, Sydney, NSW, Australia.,3 Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,4 Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
| | - Gary P Liney
- 1 Department of Radiation Oncology, Liverpool Hospital, Sydney, NSW, Australia.,3 Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,4 Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,5 Faculty of Radiation and Medical Physics, University of Wollongong, NSW, Australia
| | - Karen Wong
- 1 Department of Radiation Oncology, Liverpool Hospital, Sydney, NSW, Australia.,3 Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,4 Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
| | - Michael B Barton
- 1 Department of Radiation Oncology, Liverpool Hospital, Sydney, NSW, Australia.,3 Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,4 Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
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Han Y, Oh S, Choi M, Lee S, Jang H, Lee M, Kim JG. Clinical impact of tumor volume reduction in rectal cancer following preoperative chemoradiation. Diagn Interv Imaging 2016; 97:843-50. [DOI: 10.1016/j.diii.2016.05.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 05/03/2016] [Accepted: 05/17/2016] [Indexed: 01/01/2023]
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Diffusion-weighted MRI for Early Prediction of Treatment Response on Preoperative Chemoradiotherapy for Patients With Locally Advanced Rectal Cancer: A Feasibility Study. Ann Surg 2016; 263:522-8. [PMID: 26106836 DOI: 10.1097/sla.0000000000001311] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE This study investigates the predictive value of diffusion-weighted magnetic resonance imaging (DW-MRI) for good pathological response at different time points during and after preoperative chemoradiotherapy (CRT) in locally advanced rectal cancer. BACKGROUND Preoperative CRT followed by total mesorectal excision (TME) is the standard of care for locally advanced rectal cancer. The use of standard radical surgery in good treatment responders after CRT is being questioned. METHODS Patients with locally advanced rectal adenocarcinoma were treated with preoperative CRT followed by surgery. DW-MRI scans were performed before CRT, during the third week of CRT, 4 weeks post-CRT and presurgery. Tumor apparent diffusion coefficient (ADC) values were acquired from the DW-MRI scans. After surgery the pathological tumor regression grade was assessed according to the classification by Mandard et al [Cancer. 1994;73:2680-2686]. Patients with pathological complete or near-complete response (tumor regression grade 1-2) were classified as good responders (GRs). RESULTS Twenty-two patients participated of which 9 were GRs (41%). Pre-CRT ADC values were lower in good versus moderate/poor responders (P = 0.04). ADC values during CRT and four weeks post-CRT were higher in GR. ADC values presurgery did not differ between response groups. For all time points the relative ADC increase (ΔADC) compared to the ADC pre-CRT was higher in GR (P < 0.001). The ΔADC during CRT and four weeks post-CRT were the best predictive parameters for pathological good response. CONCLUSIONS This study shows that DW-MRI is feasible to select good treatment responders during preoperative CRT for locally advanced rectal cancer.
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Blazic IM, Lilic GB, Gajic MM. Quantitative Assessment of Rectal Cancer Response to Neoadjuvant Combined Chemotherapy and Radiation Therapy: Comparison of Three Methods of Positioning Region of Interest for ADC Measurements at Diffusion-weighted MR Imaging. Radiology 2016; 282:418-428. [PMID: 27253423 DOI: 10.1148/radiol.2016151908] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Purpose To determine the impact of three different methods of region of interest (ROI) positioning for apparent diffusion coefficient (ADC) measurements on the assessment of complete response (CR) to neoadjuvant combined chemotherapy and radiation therapy (CRT) in patients with rectal cancer. Materials and Methods Institutional review board approval was obtained for this study; all patients gave written informed consent. ADCs were measured by two radiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor volume (WTV) methods in 62 patients with locally advanced rectal cancer on pre- and post-CRT images. Interobserver variability was analyzed by calculating intraclass correlation coefficient (ICC). Descriptive statistics and areas under the receiver operating characteristic curves (AUCs) were calculated to evaluate performance in determining CR from pre- and post-CRT ADCs and ADC change. Histopathologic tumor regression grade was the reference standard. Results SS and WTV methods yielded higher AUCs than did the three-ROIs method when determining CR from post-CRT ADC (0.874 [95% confidence interval {CI}: 0.778, 0.970] and 0.886 [95% CI: 0.781, 0.990] vs 0.731 [95% CI: 0.583, 0.878], respectively; P = .033 and P = .003) and numeric change (0.892 [95% CI: 0.812, 0.972] and 0.897 [95% CI: 0.801, 0.994] vs 0.740 [95% CI: 0.591, 0.890], respectively; P = .048 and P = .0021). Respective accuracies of SS, WTV, and three-ROIs methods were 79% (49 of 62), 77% (48 of 62), and 61% (38 of 62) for post-CRT, 79% (49 of 62), 86% (53 of 62), and 60% (37 of 62) for numeric ADC change, and 77% (48 of 62), 84% (52 of 62), and 57% (35 of 62) for percentage ADC change (ADC cut-offs: 1.21, 1.30, and 1.05 × 10-3 mm2/sec, 0.33, 0.45, and 0.27 × 10-3 mm2/sec increases, and 40%, 54%, and 27% increases, respectively). Post-CRT and ADC change measurements achieved negative predictive values of 96% (44 of 46) to 100% (39 of 39). Intraobserver agreement was highest for WTV-derived ADCs (ICC, 0.742 [95% CI: 0.316, 0.892] to 0.891 [95% CI: 0.615, 0.956]) and higher for all pretreatment than posttreatment measurements (ICC, 0.761 [95% CI: 0.209, 0.930] and 0.648 [95% CI: 0.164, 0.895] for three-ROIs method, 0.608 [95% CI: 0.287, 0.844] and 0.582 [95% CI: 0.176, 0.870] for SS method, 0.891 [95% CI: 0.615, 0.956] and 0.742 for WTV method [95% CI: 0.316, 0.892]). Conclusion Tumor ADCs are highly dependent on the ROI positioning method used. Larger area measurements yield greater accuracy in response assessment. Post-CRT ADCs and values of ADC changes accurately identify noncomplete responders. WTV measurement of percentage ADC change provides the best results. © RSNA, 2016 An earlier incorrect version of this article appeared online. This article was corrected on September 19, 2016.
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Affiliation(s)
- Ivana M Blazic
- From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065-6007 (I.M.B.); Center for Radiology and MRI, Clinical Center of Serbia, Belgrade, Serbia (G.B.L.); and Institute for Medical Statistics and Informatics, Belgrade, Serbia (M.M.G.)
| | - Gordana B Lilic
- From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065-6007 (I.M.B.); Center for Radiology and MRI, Clinical Center of Serbia, Belgrade, Serbia (G.B.L.); and Institute for Medical Statistics and Informatics, Belgrade, Serbia (M.M.G.)
| | - Milan M Gajic
- From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065-6007 (I.M.B.); Center for Radiology and MRI, Clinical Center of Serbia, Belgrade, Serbia (G.B.L.); and Institute for Medical Statistics and Informatics, Belgrade, Serbia (M.M.G.)
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Blažić I, Maksimović R, Gajić M, Šaranović Đ. Apparent diffusion coefficient measurement covering complete tumor area better predicts rectal cancer response to neoadjuvant chemoradiotherapy. Croat Med J 2016; 56:460-9. [PMID: 26526883 PMCID: PMC4655931 DOI: 10.3325/cmj.2015.56.460] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Aim To determine the impact of two apparent diffusion coefficient (ADC) measurement techniques on diffusion-weighted magnetic resonance images (DW MRI) on the assessment of rectal cancer response to neoadjuvant chemoradiotherapy (CRT). Methods ADC values were measured prospectively with two different techniques – the first, which measures ADCs in the most cellular tumor parts, and the second, which measures the entire tumor area, in 58 patients with locally advanced rectal cancer on pre-CRT and post-CRT image sets. Areas under the receiver operating characteristic curves (AUCs) and parameters of diagnostic accuracy were calculated for pre- and post-CRT ADC values and numeric and percent ADC change for each technique to determine their performance in tumor response evaluation using histopathological tumor-regression grade as the reference standard. Results The second technique yielded higher AUCs (0.935 vs 0.704, P < 0.001), percent-change (0.828 vs 0.636, P < 0.001), and numeric-change (0.866 vs 0.653, P < 0.001) than the first technique for post-CRT ADC. Accuracies for post-CRT ADC assessment were 62% for the first and 88% for the second technique (cut-off values: 0.98 and 1.29 × 10−3 mm2/s, respectively) and for ADC change assessment, both numeric and percent, 59% and 74%, respectively (cut-off values: increase of 0.18 and 0.28 × 10−3 mm2/s; increase of 24% and 37%, respectively). Conclusions The type of measurement technique significantly affected ADC results. ADC measurements covering a larger area better predicted tumor response to therapy. Post-CRT ADCs, regardless of the measurement technique, and numeric ADC change measured in the whole tumor volume accurately identified non-complete responders. Post-CRT ADCs measured in the entire tumor area yielded the highest accuracy level in tumor response evaluation.
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Affiliation(s)
- Ivana Blažić
- Ivana Blažić, 480 Main Street, New York 10044, NY, USA,
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Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters. Eur Radiol 2016; 26:4303-4312. [PMID: 26945761 DOI: 10.1007/s00330-016-4283-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Revised: 02/07/2016] [Accepted: 02/11/2016] [Indexed: 12/18/2022]
Abstract
PURPOSE To compare morphological and functional MRI metrics and determine which ones perform best in assessing response to neoadjuvant chemoradiotherapy (CRT) in rectal cancer. MATERIALS AND METHODS This retrospective study included 24 uniformly-treated patients with biopsy-proven rectal adenocarcinoma who underwent MRI, including diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) sequences, before and after completion of CRT. On all MRI exams, two experienced readers independently measured longest and perpendicular tumour diameters, tumour volume, tumour regression grade (TRG) and tumour signal intensity ratio on T2-weighted imaging, as well as tumour volume and apparent diffusion coefficient on DW-MRI and tumour volume and transfer constant Ktrans on DCE-MRI. These metrics were correlated with histopathological percent tumour regression in the resected specimen (%TR). Inter-reader agreement was assessed using the concordance correlation coefficient (CCC). RESULTS For both readers, post-treatment DW-MRI and DCE-MRI volumetric tumour assessments were significantly associated with %TR; DCE-MRI volumetry showed better inter-reader agreement (CCC=0.700) than DW-MRI volumetry (CCC=0.292). For one reader, mrTRG, post-treatment T2 tumour volumetry and assessments of volume change made with T2, DW-MRI and DCE-MRI were also significantly associated with %TR. CONCLUSION Tumour volumetry on post-treatment DCE-MRI and DW-MRI correlated well with %TR, with DCE-MRI volumetry demonstrating better inter-reader agreement. KEY POINTS • Volumetry on post-treatment DCE-/DW-MRI sequences correlated well with histopathological tumour regression. • DCE-MRI volumetry demonstrated good inter-reader agreement. • Inter-reader agreement was higher for DCE-MRI volumetry than for DW-MRI volumetry. • DCE-MRI volumetry merits further investigation as a metric for evaluating treatment response.
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Nougaret S, Vargas HA, Lakhman Y, Sudre R, Do RKG, Bibeau F, Azria D, Assenat E, Molinari N, Pierredon MA, Rouanet P, Guiu B. Intravoxel Incoherent Motion-derived Histogram Metrics for Assessment of Response after Combined Chemotherapy and Radiation Therapy in Rectal Cancer: Initial Experience and Comparison between Single-Section and Volumetric Analyses. Radiology 2016; 280:446-54. [PMID: 26919562 DOI: 10.1148/radiol.2016150702] [Citation(s) in RCA: 134] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose To determine the diagnostic performance of intravoxel incoherent motion (IVIM) parameters and apparent diffusion coefficient (ADC) to assess response to combined chemotherapy and radiation therapy (CRT) in patients with rectal cancer by using histogram analysis derived from whole-tumor volumes and single-section regions of interest (ROIs). Materials and Methods The institutional review board approved this retrospective study of 31 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after CRT, including diffusion-weighted imaging with 34 b values prior to surgery. Patient consent was not required. ADC, perfusion-related diffusion fraction (f), slow diffusion coefficient (D), and fast diffusion coefficient (D*) were calculated on MR images acquired before and after CRT by using biexponential fitting. ADC and IVIM histogram metrics and median values were obtained by using whole-tumor volume and single-section ROI analyses. All ADC and IVIM parameters obtained before and after CRT were compared with histopathologic findings by using t tests with Holm-Sidak correction. Receiver operating characteristic curves were generated to evaluate the diagnostic performance of IVIM parameters derived from whole-tumor volume and single-section ROIs for prediction of histopathologic response. Results Extreme values aside, results of histogram analysis of ADC and IVIM were equivalent to median values for tumor response assessment (P > .06). Prior to CRT, none of the median ADC and IVIM diffusion metrics correlated with subsequent tumor response (P > .36). Median D and ADC values derived from either whole-volume or single-section analysis increased significantly after CRT (P ≤ .01) and were significantly higher in good versus poor responders (P ≤ .02). Median IVIM f and D* values did not significantly change after CRT and were not associated with tumor response to CRT (P > .36). Interobserver agreement was excellent for whole-tumor volume analysis (range, 0.91-0.95) but was only moderate for single-section ROI analysis (range, 0.50-0.63). Conclusion Median D and ADC values obtained after CRT were useful for discrimination between good and poor responders. Histogram metrics did not add to the median values for assessment of tumor response. Volumetric analysis demonstrated better interobserver reproducibility when compared with single-section ROI analysis. (©) RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Stephanie Nougaret
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Hebert Alberto Vargas
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Yulia Lakhman
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Romain Sudre
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Richard K G Do
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Frederic Bibeau
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - David Azria
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Eric Assenat
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Nicolas Molinari
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Marie-Ange Pierredon
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Philippe Rouanet
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
| | - Boris Guiu
- From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.)
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MRI and Diffusion-weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study. Ann Surg 2016; 262:1034-9. [PMID: 25211270 DOI: 10.1097/sla.0000000000000909] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Retrospective single-center studies have shown that diffusion-weighted magnetic resonance imaging (DWI) is promising for identification of patients with rectal cancer with a complete tumor response after neoadjuvant chemoradiotherapy (CRT), using certain volumetric thresholds. OBJECTIVE This study aims to validate the diagnostic value of these volume thresholds in a larger, independent, and bi-institutional patient cohort. METHODS A total of 112 patients with locally advanced rectal cancer (2 centers) treated with a long course of CRT were enrolled. Patients underwent standard T2W-magnetic resonance imaging and DWI, both pre- and post-CRT. Two experienced readers independently determined pre-CRT and post-CRT tumor volumes (cm) on T2W-magnetic resonance image and diffusion-weighted magnetic resonance image by means of freehand tumor delineation. Tumor volume reduction rates (Δvolume) were calculated. Previously determined T2W and DWI threshold values for prevolume, postvolume, and Δvolume were tested to "prospectively" assess their respective diagnostic value in discriminating patients with a complete tumor response from patients with residual tumor. RESULTS Twenty patients had a complete response. Using the average measurements between the 2 readers, areas under the curve for the pre-/post-/Δvolumes was 0.73/0.82/0.78 for T2W-magnetic resonance imaging and 0.77/0.92/0.86 for DWI, respectively. For T2W-volumetry, sensitivity and specificity using the predefined volume thresholds were 55% and 74% for pre-, 60% and 89% for post-, and 60% and 86% for Δvolume. For DWI volumetry, sensitivity and specificity were 65% and 76% for pre-, 70% and 98% for post-, and 70% and 93% for Δvolume. CONCLUSIONS Previously established DWI volume thresholds can be reproduced with good results. Post-CRT DWI volumetry offers the best results for the detection of patients with a complete response after CRT with an area under the curve of 0.92, sensitivity of 70%, and specificity of 98%.
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Lambregts DMJ, Maas M, Stokkel MPM, Beets-Tan RGH. Magnetic Resonance Imaging and Other Imaging Modalities in Diagnostic and Tumor Response Evaluation. Semin Radiat Oncol 2016; 26:193-8. [PMID: 27238470 DOI: 10.1016/j.semradonc.2016.02.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Functional imaging is emerging as a valuable contributor to the clinical management of patients with rectal cancer. Techniques such as diffusion-weighted magnetic resonance imaging, perfusion imaging, and positron emission tomography can offer meaningful insights into tissue architecture, vascularity, and metabolism. Moreover, new techniques targeting other aspects of tumor biology are now being developed and studied. This study reviews the potential role of functional imaging for the diagnosis, treatment monitoring, and assessment of prognosis in patients with rectal cancer.
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Affiliation(s)
- Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marcel P M Stokkel
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Sathyakumar K, Chandramohan A, Masih D, Jesudasan MR, Pulimood A, Eapen A. Best MRI predictors of complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. Br J Radiol 2016; 89:20150328. [PMID: 26828967 DOI: 10.1259/bjr.20150328] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To identify the MRI parameters which best predict complete response (CR) to neoadjuvant chemoradiotherapy (CRT) in patients with locally advanced rectal cancer (LARC) and to assess their diagnostic performance. METHODS This was a prospective study of pre- and post-CRT MRI and diffusion-weighted imaging (DWI) of 64 patients with LARC who underwent neoadjuvant CRT and subsequent surgery. Histopathological tumour regression grade was the reference standard. Multivariate regression analysis was performed to identify the best MRI predictors of CR to neoadjuvant CRT, and their diagnostic performance was assessed. RESULTS The study cohort comprised 48 males and 16 females (n = 64), with mean age of 49.48 ± 14.3 years, range of 23-74 years. 11 patients had pathological complete response. The following factors predicted CR on univariate analysis: low initial (pre-CRT) tumour volume on T2 weighted high-resolution (HR) images and DWI, tumour volume-reduction rate (TVRR) of >95% on DWI and CR on post-CRT DWI (ydwiT0) as assessed by the radiologist. However, the best MRI predictors of CR on multivariate regression analysis were CR on post-CRT DWI (ydwiT0) as assessed by the radiologist and TVRR of >95% on DWI, and these parameters had an area under the curve (95% confidence interval) of 0.881 (0.74-1.0) and 0.843 (0.7-0.98), respectively. The sensitivity, specificity, positive-predictive value, negative-predictive value and accuracy of DWI in predicting CR was 81.8%, 94.3%, 75%, 96.1% and 76%; the sensitivity, specificity and accuracy of TVRR of >95% as a predictor of CR was 80%, 84.1% and 64.1%, respectively; however, this difference was not statistically significant. The interobserver agreement was substantial for ydwiT0. CONCLUSION Visual assessment of CR on post-CRT DWI and TVRR of >95% on DWI were the best predictors of CR after neoadjuvant CRT in patients with LARC, and the former being more practical can be used in daily practice. ADVANCES IN KNOWLEDGE In rectal cancer, ydwiT0 as assessed by the radiologist was the best and most practical imaging predictor of CR and scores over standard T2W HR images.
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Affiliation(s)
- Kirthi Sathyakumar
- 1 Department of Radiology, Christian Medical College, Vellore, Tamil Nadu, India
| | | | - Dipti Masih
- 2 Department of Pathology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Mark Ranjan Jesudasan
- 3 Department of General and Colorectal Surgery, Unit II, Christian Medical College, Vellore, Tamil Nadu, India
| | - Anna Pulimood
- 2 Department of Pathology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Anu Eapen
- 1 Department of Radiology, Christian Medical College, Vellore, Tamil Nadu, India
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Ippolito D, Fior D, Trattenero C, Ponti ED, Drago S, Guerra L, Franzesi CT, Sironi S. Combined value of apparent diffusion coefficient-standardized uptake value max in evaluation of post-treated locally advanced rectal cancer. World J Radiol 2015; 7:509-520. [PMID: 26753066 PMCID: PMC4697125 DOI: 10.4329/wjr.v7.i12.509] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Revised: 03/24/2015] [Accepted: 11/04/2015] [Indexed: 02/06/2023] Open
Abstract
AIM: To assess the clinical diagnostic value of functional imaging, combining quantitative parameters of apparent diffusion coefficient (ADC) and standardized uptake value (SUV)max, before and after chemo-radiation therapy, in prediction of tumor response of patients with rectal cancer, related to tumor regression grade at histology.
METHODS: A total of 31 patients with biopsy proven diagnosis of rectal carcinoma were enrolled in our study. All patients underwent a whole body 18FDG positron emission tomography (PET)/computed tomography (CT) scan and a pelvic magnetic resonance (MR) examination including diffusion weighted (DW) imaging for staging (PET1, RM1) and after completion (6.6 wk) of neoadjuvant treatment (PET2, RM2). Subsequently all patients underwent total mesorectal excision and the histological results were compared with imaging findings. The MR scanning, performed on 1.5 T magnet (Philips, Achieva), included T2-weighted multiplanar imaging and in addition DW images with b-value of 0 and 1000 mm²/s. On PET/CT the SUVmax of the rectal lesion were calculated in PET1 and PET2. The percentage decrease of SUVmax (ΔSUV) and ADC (ΔADC) values from baseline to presurgical scan were assessed and correlated with pathologic response classified as tumor regression grade (Mandard’s criteria; TRG1 = complete regression, TRG5 = no regression).
RESULTS: After completion of therapy, all the patients were submitted to surgery. According to the Mandard’s criteria, 22 tumors showed complete (TRG1) or subtotal regression (TRG2) and were classified as responders; 9 tumors were classified as non responders (TRG3, 4 and 5). Considering all patients the mean values of SUVmax in PET 1 was higher than the mean value of SUVmax in PET 2 (P < 0.001), whereas the mean ADC values was lower in RM1 than RM2 (P < 0.001), with a ΔSUV and ΔADC respectively of 60.2% and 66.8%. The best predictors for TRG response were SUV2 (threshold of 4.4) and ADC2 (1.29 × 10-3 mm2/s) with high sensitivity and specificity. Combining in a single analysis both the obtained median value, the positive predictive value, in predicting the different group category response in related to TRG system, presented R2 of 0.95.
CONCLUSION: The functional imaging combining ADC and SUVmax in a single analysis permits to detect changes in cellular tissue structures useful for the assessment of tumour response after the neoadjuvant therapy in rectal cancer, increasing the sensitivity in correct depiction of treatment response than either method alone.
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