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Zhang L, Jin Z, Yang F, Guo Y, Liu Y, Chen M, Xu S, Lin Z, Sun P, Yang M, Zhang P, Tao K, Zhang T, Li X, Zheng C. Added value of histogram analysis of intravoxel incoherent motion and diffusion kurtosis imaging for the evaluation of complete response to neoadjuvant therapy in locally advanced rectal cancer. Eur Radiol 2024:10.1007/s00330-024-11081-z. [PMID: 39297948 DOI: 10.1007/s00330-024-11081-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/05/2024] [Accepted: 08/27/2024] [Indexed: 09/21/2024]
Abstract
OBJECTIVE To evaluate how intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) histogram analysis contribute to assessing complete response (CR) to neoadjuvant therapy (NAT) in locally advanced rectal cancer (LARC). MATERIAL AND METHODS In this prospective study, participants with LARC, who underwent NAT and subsequent surgery, with adequate MR image quality, were enrolled from November 2021 to March 2023. Conventional MRI (T2WI and DWI), IVIM, and DKI were performed before NAT (pre-NAT) and within two weeks before surgery (post-NAT). Image evaluation was independently performed by two experienced radiologists. Pathological complete response (pCR) was used as the reference standard. An IVIM-DKI-added model (a combination of IVIM and DKI histogram parameters with T2WI and DWI) was constructed. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic performance of conventional MRI and the IVIM-DKI-added model. RESULTS A total of 59 participants (median age: 58.00 years [IQR: 52.00, 62.00]; 38 [64%] men) were evaluated, including 21 pCR and 38 non-pCR cases. The histogram parameters of DKI, including skewness of kurtosis post-NAT (post-KSkewness) and root mean squared of change ratio of diffusivity (Δ%DDKI-root mean squared), were entered into the IVIM-DKI-added model. The area under the ROC curve (AUC) of the IVIM-DKI-added model for assessing CR to NAT was significantly higher than that of conventional MRI (0.855 [95% CI: 0.749-0.960] vs 0.685 [95% CI: 0.565-0.806], p < 0.001). CONCLUSION IVIM and DKI provide added value in the evaluation of CR to NAT in LARC. KEY POINTS Question The current conventional imaging evaluation system lacks adequacy for assessing CR to NAT in LARC. Findings Significantly improved diagnostic performance was observed with the histogram analysis of IVIM and DKI in conjunction with conventional MRI. Clinical relevance IVIM and DKI provide significant value in evaluating CR to NAT in LARC, which bears significant implications for reducing surgical complications and facilitating organ preservation.
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Affiliation(s)
- Lan Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Ziwei Jin
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Fan Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Yiwan Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Yuan Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Manman Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Si Xu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China
| | - Zhenyu Lin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, Hubei, 430022, China
| | - Peng Sun
- Clinical and Technical Support, Philips Healthcare, Beijing, 100600, China
| | - Ming Yang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Peng Zhang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Kaixiong Tao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Tao Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, Hubei, 430022, China
| | - Xin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China.
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, 430022, China.
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Curcean S, Curcean A, Martin D, Fekete Z, Irimie A, Muntean AS, Caraiani C. The Role of Predictive and Prognostic MRI-Based Biomarkers in the Era of Total Neoadjuvant Treatment in Rectal Cancer. Cancers (Basel) 2024; 16:3111. [PMID: 39272969 PMCID: PMC11394290 DOI: 10.3390/cancers16173111] [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: 08/13/2024] [Revised: 09/02/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024] Open
Abstract
The role of magnetic resonance imaging (MRI) in rectal cancer management has significantly increased over the last decade, in line with more personalized treatment approaches. Total neoadjuvant treatment (TNT) plays a pivotal role in the shift from traditional surgical approach to non-surgical approaches such as 'watch-and-wait'. MRI plays a central role in this evolving landscape, providing essential morphological and functional data that support clinical decision-making. Key MRI-based biomarkers, including circumferential resection margin (CRM), extramural venous invasion (EMVI), tumour deposits, diffusion-weighted imaging (DWI), and MRI tumour regression grade (mrTRG), have proven valuable for staging, response assessment, and patient prognosis. Functional imaging techniques, such as dynamic contrast-enhanced MRI (DCE-MRI), alongside emerging biomarkers derived from radiomics and artificial intelligence (AI) have the potential to transform rectal cancer management offering data that enhance T and N staging, histopathological characterization, prediction of treatment response, recurrence detection, and identification of genomic features. This review outlines validated morphological and functional MRI-derived biomarkers with both prognostic and predictive significance, while also exploring the potential of radiomics and artificial intelligence in rectal cancer management. Furthermore, we discuss the role of rectal MRI in the 'watch-and-wait' approach, highlighting important practical aspects in selecting patients for non-surgical management.
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Affiliation(s)
- Sebastian Curcean
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Andra Curcean
- Department of Imaging, Affidea Center, 15c Ciresilor Street, 400487 Cluj-Napoca, Romania
| | - Daniela Martin
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Zsolt Fekete
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Alexandru Irimie
- Department of Oncological Surgery and Gynecological Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Oncological Surgery, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Alina-Simona Muntean
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Cosmin Caraiani
- Department of Medical Imaging and Nuclear Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
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Wang X, Liu W, Masokano IB, Liu WV, Pei Y, Li W. Feasibility of Three-Dimension Chemical Exchange Saturation Transfer MRI for Predicting Tumor and Node Staging in Rectal Adenocarcinoma: An Exploration of Optimal ROI Measurement. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024:10.1007/s10278-024-01029-6. [PMID: 39237837 DOI: 10.1007/s10278-024-01029-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 12/29/2023] [Accepted: 01/17/2024] [Indexed: 09/07/2024]
Abstract
To investigate the feasibility of predicting rectal adenocarcinoma (RA) tumor (T) and node (N) staging from an optimal ROI measurement using amide proton transfer weighted-signal intensity (APTw-SI) and magnetization transfer (MT) derived from three-dimensional chemical exchange saturation transfer(3D-CEST). Fifty-eight RA patients with pathological TN staging underwent 3D-CEST and DWI. APTw-SI, MT, and ADC values were measured using three ROI approaches (ss-ROI, ts-ROI, and wt-ROI) to analyze the TN staging (T staging, T1-2 vs T3-4; N staging, N - vs N +); the reproducibility of APTw-SI and MT was also evaluated. The AUC was used to assess the staging performance and determine the optimal ROI strategy. MT and APTw-SI yielded good excellent reproducibility with three ROIs, respectively. Significant differences in MT were observed (all P < 0.05) from various ROIs but not in APTw-SI and ADC (all P > 0.05) in the TN stage. AUCs of MT from ss-ROI were 0.860 (95% CI, 0.743-0.937) and 0.852 (95% CI, 0.735-0.932) for predicting T and N staging, which is similar to ts-ROI (T staging, 0.856 [95% CI, 0.739-0.934]; N staging, 0.831 [95% CI, 0.710-0.917]) and wt-ROI (T staging, 0.833 [95% CI, 0.712-0.918]; N staging, 0.848 [95% CI, 0.729-0.929]) (all P > 0.05). MT value of 3D-CEST has excellent TN staging predictive performance in RA patients with all three kinds of ROI methods. The ss-ROI is easy to operate and could be served as the preferred ROI approach for clinical and research applications of 3D-CEST imaging.
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Affiliation(s)
- Xiao Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Wenguang Liu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Ismail Bilal Masokano
- Department of Radiology, Central South University, The Third Xiangya Hospital, Changsha, 410013, Hunan, People's Republic of China
| | - Weiyin Vivian Liu
- MR Research, GE Healthcare, Beijing, 100176, People's Republic of China
| | - Yigang Pei
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
| | - Wenzheng Li
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
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Stanietzky N, Morani A, Surabhi V, Jensen C, Horvat N, Vikram R. Mucinous Rectal Adenocarcinoma-Challenges in Magnetic Resonance Imaging Interpretation. J Comput Assist Tomogr 2024; 48:683-692. [PMID: 38446711 DOI: 10.1097/rct.0000000000001599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
ABSTRACT Mucinous rectal cancer (MRC) is defined by the World Health Organization as an adenocarcinoma with greater than 50% mucin content. Classic teaching suggests that it carries a poorer prognosis than conventional rectal adenocarcinoma. This poorer prognosis is thought to be related to mucin dissecting through tissue planes at a higher rate, thus increasing the stage of disease at presentation. Developments in immunotherapy have bridged much of this prognostic gap in recent years. Magnetic resonance imaging is the leading modality in assessing the locoregional spread of rectal cancer. Mucinous rectal cancer carries unique imaging challenges when using this modality. Much of the difficulty lies in the inherent increased T2-weighted signal of mucin on magnetic resonance imaging. This creates difficulty in differentiating mucin from the adjacent background fat, making the detection of both the primary disease process as well as the locoregional spread challenging. Computed tomography scan can act as a valuable companion modality as mucin tends to be more apparent in the background fat. After therapy, diagnostic challenges remain. Mucin is frequently present, and distinguishing cellular from acellular mucin can be difficult. In this article, we will discuss each of these challenges and present examples of such situations and strategies that can be used to overcome them.
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Affiliation(s)
- Nir Stanietzky
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ajaykumar Morani
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Venkateswar Surabhi
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Corey Jensen
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Raghu Vikram
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Zhang C, Chen J, Liu Y, Yang Y, Xu Y, You R, Li Y, Liu L, Yang L, Li H, Wang G, Li W, Li Z. Amide proton transfer-weighted MRI for assessing rectal adenocarcinoma T-staging and perineural invasion: a prospective study. Eur Radiol 2024:10.1007/s00330-024-11000-2. [PMID: 39122854 DOI: 10.1007/s00330-024-11000-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 06/19/2024] [Accepted: 07/20/2024] [Indexed: 08/12/2024]
Abstract
OBJECTIVE To investigate the value of the pre-operative amide proton transfer-weighted (APTw) MRI to assess the prognostic factors in rectal adenocarcinoma (RA). METHODS This prospective study ran from January 2022 to September 2023 and consecutively enrolled participants with RA who underwent pre-operative MRI and radical surgery. The APTw signal intensity (SI) values of RA with various tumor (T), node (N) stages, perineural invasion (PNI), and tumor grade were compared by Mann-Whitney U-test or t-test. The receiver operating characteristic curve was used to evaluate the diagnostic performance of the APTw SI values. RESULTS A total of 51 participants were enrolled (mean age, 58 years ± 10 [standard deviation], 26 men). There were 24 in the T1-T2 stage and 9 with positive PNI. The APTw SI max, 99th, and 95th values were significantly higher in T3-T4 stage tumor than in T1-T2; the median (interquartile range) (M (IQR)) was (4.0% (3.6-4.9%) vs 3.4% (2.9- 4.3%), p = 0.017), (3.7% (3.2-4.1%) vs 3.2% (2.8-3.8%), p = 0.013), and (3.3% (2.8-3.8%) vs 2.9% (2.3-3.5%), p = 0.033), respectively. These indicators also differed significantly between the PNI groups, with the M (IQR) (4.5% (3.6-5.7%) vs 3.7% (3.2-4.2%), p = 0.017), (4.1% (3.4-4.8%) vs 3.3% (3.0-3.9%), p = 0.022), and (3.7% (2.7-4.2%) vs 2.9% (2.6-3.5%), p = 0.045), respectively. CONCLUSION Pre-operative APTw MRI has potential value in the assessment of T-staging and PNI determination in RA. CLINICAL RELEVANCE STATEMENT Pre-operative amide proton transfer-weighted MRI provides a quantitative method for noninvasive assessment of T-staging and PNI in RA aiding in precision treatment planning. KEY POINTS The efficacy of APTw MRI in RA needs further investigation. T3-T4 stage and PNI positive APTw signal intensities were higher than T1-T2 and non-PNI, respectively. APTw MRI provides a quantitative method for assessment of T staging and PNI in RA.
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Affiliation(s)
- Caixia Zhang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Jianyou Chen
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Yifan Liu
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Yinrui Yang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | | | - Ruimin You
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Yanli Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Lizhu Liu
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Ling Yang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Huaxiu Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Guanshun Wang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
| | - Wenliang Li
- Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
| | - Zhenhui Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
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He J, Wang SX, Liu P. Machine learning in predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer using MRI: a systematic review and meta-analysis. Br J Radiol 2024; 97:1243-1254. [PMID: 38730550 PMCID: PMC11186567 DOI: 10.1093/bjr/tqae098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/15/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024] Open
Abstract
OBJECTIVES To evaluate the performance of machine learning models in predicting pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer using magnetic resonance imaging. METHODS We searched PubMed, Embase, Cochrane Library, and Web of Science for studies published before March 2024. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) was used to assess the methodological quality of the included studies, random-effects models were used to calculate sensitivity and specificity, I2 values were used for heterogeneity measurements, and subgroup analyses were carried out to detect potential sources of heterogeneity. RESULTS A total of 1699 patients from 24 studies were included. For machine learning models in predicting pCR to nCRT, the meta-analysis calculated a pooled area under the curve (AUC) of 0.91 (95% CI, 0.88-0.93), pooled sensitivity of 0.83 (95% CI, 0.74-0.89), and pooled specificity of 0.86 (95% CI, 0.80-0.91). We investigated 6 studies that mainly contributed to heterogeneity. After performing meta-analysis again excluding these 6 studies, the heterogeneity was significantly reduced. In subgroup analysis, the pooled AUC of the deep-learning model was 0.93 and 0.89 for the traditional statistical model; the pooled AUC of studies that used diffusion-weighted imaging (DWI) was 0.90 and 0.92 in studies that did not use DWI; the pooled AUC of studies conducted in China was 0.93, and was 0.83 in studies conducted in other countries. CONCLUSIONS This systematic study showed that machine learning has promising potential in predicting pCR to nCRT in patients with locally advanced rectal cancer. Compared to traditional machine learning models, although deep-learning-based studies are less predominant and more heterogeneous, they are able to obtain higher AUC. ADVANCES IN KNOWLEDGE Compared to traditional machine learning models, deep-learning-based studies are able to obtain higher AUC, although they are less predominant and more heterogeneous. Together with clinical information, machine learning-based models may bring us closer towards precision medicine.
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Affiliation(s)
- Jia He
- Department of Radiology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People’s Hospital, Changsha 410002, China
| | | | - Peng Liu
- Department of Radiology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People’s Hospital, Changsha 410002, China
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Barbaro B, Carafa MRPI, Minordi LM, Testa P, Tatulli G, Carano D, Fiorillo C, Chiloiro G, Romano A, Valentini V, Gambacorta MA. Magnetic resonance imaging for assessment of rectal cancer nodes after chemoradiotherapy: A single center experience. Radiother Oncol 2024; 193:110124. [PMID: 38309586 DOI: 10.1016/j.radonc.2024.110124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/14/2024] [Accepted: 01/30/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Accurate nodal restaging is becoming clinically more important in patients with locally advanced rectal cancer (LARC) with the emergence of organ-preserving treatment after a good response to neoadjuvant chemoradiotherapy (nCRT). PURPOSE To evaluate the accuracy of MRI in identifying negative N status (ypN0 patients) in LARC after nCRT. MATERIAL AND METHODS 191 patients with LARC underwent MRI before and 6-8 weeks after nCRT and subsequent total mesorectal excision. Short-axis diameter of mesorectal lymph nodes was evaluated on the high resolution T2-weighted images to compare MRI restaging with histopathology.. RESULTS 146 and 45 patients had a negative N status (ypN0) and positive N status (ypN + ), respectively. On restaging MRI, the 70 % reduction in size of the largest node was associated with an area under the curve (AUC) of 0.818 to predict ypN0 stage, with a sensitivity of 93.3 % and a negative predictive value (NPV) of 95.4 %. No nodes were observed in 38 pts (37 pts ypN0 and 1 patient ypN + ), with sensitivity and NPV of nodes disappearance for ypN0 stage of 93.3 % and 92.5 % respectively. A 2.2 mm cut-off in short-axis diameter was associated with an AUC of 0.83 for the prediction of ypN0 nodal stage, with sensitivity and NPV of 79,5% and 91.1 % respectively. CONCLUSION A reduction in size of 70 % of the largest limph-node on MRI at rectal cancer restaging has high sensitivity and NPV for prediction of ypN0 stage after nCRT. The high NPV of node disappearance and of a ≤ 2.2 mm short-axis diameter is confirmed.
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Affiliation(s)
- Brunella Barbaro
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Maria Rachele PIa Carafa
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Università Cattolica del Sacro Cuore, Rome, Italy
| | - Laura Maria Minordi
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Priscilla Testa
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Tatulli
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Davide Carano
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Claudio Fiorillo
- Digestive Surgery Unit, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Giuditta Chiloiro
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Angela Romano
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Vincenzo Valentini
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Maria Antonietta Gambacorta
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology. Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
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8
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Tang YZ, Alabousi A. Incidental findings on staging rectal MRI: clinical significance and outcomes. Acta Radiol 2024; 65:374-382. [PMID: 38115675 DOI: 10.1177/02841851231217728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND Incidental findings (IFs) are commonly seen in staging rectal magnetic resonance imaging (MRI) scans. Their prevalence and clinical significance have not been previously documented. PURPOSE To assess the prevalence, clinical significance, and outcomes of incidental findings in MRI scans performed for the staging of rectal cancer. MATERIAL AND METHODS A retrospective study was performed at a tertiary colorectal imaging institution. Consecutive MRI rectal staging scans with correlative pathology confirmed primary rectal cancer between March 2014 and March 2021 were identified. The respective imaging reports were reviewed for IFs, which were classified as high, moderate, and low, according to their clinical significance. Medical records were reviewed to assess the outcomes of the highly significant IFs. RESULTS There were 266 eligible patients (97 women; mean age = 64.2 years) during the study period. A total of 120 (45%) patients did not have any IFs. A total of 238 IFs in 146 (55%) patients were found. There were 21 (9%) IFs of high clinical significance, 122 (51%) of moderate clinical significance, and 95 (40%) of low clinical significance. The prostate and uterus had the most IFs of high clinical significance, two of which were subsequently pathology confirmed as prostate adenocarcinomas. CONCLUSION IFs were seen in more than half of the staging MRI scans in rectal cancer but less than 10% of these were of high clinical significance. The results of this study highlight the range of potential IFs and can guide future research assessing the potential impact of these IFs on patients and the healthcare system.
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Affiliation(s)
- Yen Zhi Tang
- Department of Radiology, McMaster University, St Joseph's Healthcare, Hamilton, ON, Canada
| | - Abdullah Alabousi
- Department of Radiology, McMaster University, St Joseph's Healthcare, Hamilton, ON, Canada
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Shur JD, Qiu S, Johnston E, Tait D, Fotiadis N, Kontovounisios C, Rasheed S, Tekkis P, Riddell A, Koh DM. Multimodality Imaging to Direct Management of Primary and Recurrent Rectal Adenocarcinoma Beyond the Total Mesorectal Excision Plane. Radiol Imaging Cancer 2024; 6:e230077. [PMID: 38363197 PMCID: PMC10988347 DOI: 10.1148/rycan.230077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/11/2023] [Accepted: 01/10/2024] [Indexed: 02/17/2024]
Abstract
Rectal tumors extending beyond the total mesorectal excision (TME) plane (beyond-TME) require particular multidisciplinary expertise and oncologic considerations when planning treatment. Imaging is used at all stages of the pathway, such as local tumor staging/restaging, creating an imaging-based "roadmap" to plan surgery for optimal tumor clearance, identifying treatment-related complications, which may be suitable for radiology-guided intervention, and to detect recurrent or metastatic disease, which may be suitable for radiology-guided ablative therapies. Beyond-TME and exenterative surgery have gained acceptance as potentially curative procedures for advanced tumors. Understanding the role, techniques, and pitfalls of current imaging techniques is important for both radiologists involved in the treatment of these patients and general radiologists who may encounter patients undergoing surveillance or patients presenting with surgical complications or intercurrent abdominal pathology. This review aims to outline the current and emerging roles of imaging in patients with beyond-TME and recurrent rectal malignancy, focusing on practical tips for image interpretation and surgical planning in the beyond-TME setting. Keywords: Abdomen/GI, Rectum, Oncology © RSNA, 2024.
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Affiliation(s)
- Joshua D. Shur
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Sheng Qiu
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Edward Johnston
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Diana Tait
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Nicos Fotiadis
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Christos Kontovounisios
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Shahnawaz Rasheed
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Paris Tekkis
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Angela Riddell
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
| | - Dow-Mu Koh
- From the Royal Marsden Hospital NHS Foundation Trust, Downs Road,
Sutton SM2 5PT, England (J.D.S., S.Q., E.J., D.T., N.F., C.K., S.R.,
P.T., A.R., D.M.K.); and Institute of Cancer Research, Sutton, England (E.J.,
N.F., D.M.K.)
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10
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Patra A, Lakhani A, Augustine A, Mohapatra P, Eapen A, Singh A, Masih D, Ram TS, Jesudason MR, Mittal R, Chandramohan A. Predicting Positive Radial Margin on Restaging MRI of Patients with Low Rectal Cancer: Can We Do Better? Indian J Radiol Imaging 2024; 34:85-94. [PMID: 38106864 PMCID: PMC10723970 DOI: 10.1055/s-0043-1774300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023] Open
Abstract
Objective The aim of this study was to characterize the tissue involving the margin and study if this information will affect margin prediction on restaging magnetic resonance imaging (MRI) in low rectal adenocarcinoma (LRC) patients treated with neoadjuvant long-course chemoradiotherapy (LCCRT). Methods In this retrospective study of nonmetastatic LRC (distal margin <5 cm from the anal verge) treated with LCCRT followed by surgery, a radiologist blinded to outcome reread the restaging MRI and documented if the radial margin was involved by tumor, fibrosis, or mucin reaction using T2 high-resolution (HR) and diffusion-weighted imaging (DWI). The diagnostic performance of tumor-involving margin on restaging MRI was assessed using surgical histopathology as a reference. Interobserver agreement between three independent radiologists was assessed in a subset. Results We included 133 patients (80 males and 53 females) with a mean (range) age of 44.7 (21-86) years and 82% of them had well or moderately differentiated adenocarcinoma. Baseline MRI showed T3 ( n = 58) or T4 ( n = 60) disease in 89% of the patients. The pathological margin was positive in 21% ( n = 28) cases. In restaging MRI, the circumferential resection margin (CRM) ≤1 mm in 75.1% ( n = 100) cases and MRI predicted tumor, fibrosis, and mucin reaction at the margin in 60, 34, and 6%, respectively, and histopathology showed tumor cells in 33, 14.7, and 16.6% of them, respectively. LRC with tumor-involving margin and bad response (MR tumor regression grade [mr-TRG] 3-5) on restaging MRI had fourfold increased risk of positive pathological circumferential resection margin (pCRM). There was moderate and fair inter-reader agreement for the tissue type involving the CRM ( κ = 0.471) and mr-TRG ( κ = 0.266), p < 0.05. The use of both distance criteria and tumor-involving margins improved the diagnostic accuracy for margin prediction from 39 to 66% on restaging MRI. Conclusions Margin prediction on restaging MRI can be improved by characterizing the tissue type involving the margin in low rectal cancer patients. The inter-reader agreement was moderate for determining the tissue type.
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Affiliation(s)
- Anurima Patra
- Department of Radiology, Christian Medical College, Vellore, India
| | - Aisha Lakhani
- Department of Radiology, Christian Medical College, Vellore, India
| | - Antony Augustine
- Department of Radiology, Christian Medical College, Vellore, India
| | | | - Anu Eapen
- Department of Radiology, Christian Medical College, Vellore, India
| | - Ashish Singh
- Department of Medical Oncology, Christian Medical College, Vellore, India
| | - Dipti Masih
- Department of Pathology, Christian Medical College, Vellore, India
| | - Thomas S. Ram
- Department of Radiation Oncology, Christian Medical College, Vellore, India
| | - Mark R. Jesudason
- Department of Colorectal Surgery, Christian Medical College, Vellore, India
| | - Rohin Mittal
- Department of Colorectal Surgery, Christian Medical College, Vellore, India
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11
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Li J, Kou P, Lin L, Xiao Y, Jin H, Zhang Y, Cheng J. T1 mapping in evaluation of clinicopathologic factors for rectal adenocarcinoma. Abdom Radiol (NY) 2024; 49:279-287. [PMID: 37839066 DOI: 10.1007/s00261-023-04045-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE T1 mapping has been increasingly applied in the study of tumor. The purpose of this study was to evaluate the value of T1 mapping in evaluating clinicopathologic factors for rectal adenocarcinoma. MATERIALS AND METHODS Eighty-six patients with rectal adenocarcinoma confirmed by surgical pathology who underwent preoperative pelvic MRI were retrospectively analyzed. High-resolution T2-weighted imaging (T2WI), T1 mapping, and diffusion-weighted imaging (DWI) were performed. T1 and apparent diffusion coefficient (ADC) parameters were compared among different associated tumor markers, tumor grades, stages, and structure invasion statuses. A receiver operating characteristic (ROC) analysis was estimated. RESULTS T1 value showed significant difference between high- and low-grade tumors ([1531.5 ± 84.7 ms] vs. [1437.1 ± 80.3 ms], P < 0.001). T1 value was significant higher in positive than in negative perineural invasion ([1495.7 ± 89.2 ms] vs. [1449.4 ± 88.8 ms], P < 0.05). No significant difference of T1 or ADC was observed in different CEA, CA199, T stage, N stage, lymphovascular invasions, extramural vascular invasion (EMVI), and circumferential resection margin (CRM) (P > 0.05). The AUC under ROC curve of T1 value were 0.796 in distinguishing high- from low-grade rectal adenocarcinoma. The AUC of T1 value in distinguishing perineural invasion was 0.637. CONCLUSION T1 value was helpful in assessing pathologic grade and perineural invasion correlated with rectal cancer.
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Affiliation(s)
- Juan Li
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China.
| | - Peisi Kou
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China
| | - Liangjie Lin
- Advanced Technical Support, Philips Healthcare, Beijing, China
| | - Yunfei Xiao
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China
| | - Hongrui Jin
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China
| | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou, 450052, China
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12
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Otto PO, Loft MK, Rafaelsen SR, Pedersen MRV. Diffusion-Weighted MRI as a Quantitative Imaging Biomarker in Colon Tumors. Cancers (Basel) 2023; 16:144. [PMID: 38201571 PMCID: PMC10778248 DOI: 10.3390/cancers16010144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 12/21/2023] [Accepted: 12/24/2023] [Indexed: 01/12/2024] Open
Abstract
PURPOSE To assess the use of quantitative diffusion-weighted MRI (DW-MRI) as a diagnostic imaging biomarker in differentiating between benign colon adenoma, early, and advanced cancer of the colon, as well as predicting lymph node involvement, and finally comparing mucinous-producing colon cancer with adenomas and non-mucinous colon cancer. METHOD Patients with a confirmed tumor on colonoscopy were eligible for inclusion in this study. Using a 3.0 Tesla MRI machine, the main tumor mean apparent diffusion coefficient (mADC) was obtained. Surgically resected tumor specimens served as an endpoint, except in mucinous colon cancers, which were classified based on T2 images. RESULTS A total of 152 patients were included in the study population. The mean age was 71 years. A statistically significant mADC mean difference of -282 × 10-6 mm2/s [-419--144 95% CI, p < 0.001] was found between colon adenomas and early colon cancer, with an AUC of 0.80 [0.68-0.93 95% CI] and an optimal cut off value of 1018 × 10-6 mm2/s. Only a small statistically significant difference (p = 0.039) in mADC was found between benign tumors and mucinous colon cancer. We found no statistical difference in mADC mean values between early and advanced colon cancer, and between colon cancer with and without lymph node involvement. CONCLUSION Quantitative DW-MRI is potentially useful for determining whether a colonic tumor is benign or malignant. Mucinous colon cancer shows less diffusion restriction when compared to non-mucinous colon cancer, a potential pitfall.
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Affiliation(s)
- Peter Obel Otto
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark
| | - Martina Kastrup Loft
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark
- Danish Colorectal Cancer Center South, Vejle Hospital, 7100 Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Søren Rafael Rafaelsen
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark
- Danish Colorectal Cancer Center South, Vejle Hospital, 7100 Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Malene Roland Vils Pedersen
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark
- Danish Colorectal Cancer Center South, Vejle Hospital, 7100 Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
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13
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Yacheva A, Dardanov D, Zlatareva D. The Multipurpose Usage of Diffusion-Weighted MRI in Rectal Cancer. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2162. [PMID: 38138265 PMCID: PMC10744943 DOI: 10.3390/medicina59122162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023]
Abstract
Background and Objectives: Colorectal cancer is the third most common oncological disease worldwide. The standard treatment of locally advanced rectal tumors is neoadjuvant radiochemotherapy in combination with surgical resection. The choice of specific treatment algorithm is highly dependent on MRI findings. The aim of this study is to show the potential role of ADC measurements in rectal cancer and their usage in different clinical scenarios. Materials and Methods: A total of 135 patients had rectal MRI evaluation. Seventy-five (56%) had histologically proven rectal adenocarcinoma and sixty (44%) were evaluated as rectal disease-free. An ADC measurement in the most prominent region of interest was obtained for all patients. Eighteen patients (24% of the rectal cancer group) had a second MRI after neoadjuvant chemoradiotherapy with comparison of the ADC values at the same region of interest as previously measured. Results: Rectal cancer ADC values were found to be significantly lower than the ones in the control group (p < 0.001). A statistically significant correlation was found when ADC values in rectal tumors of different T stages were compared (p = 0.039)-those with higher T stage as in locally advanced disease showed lower ADC values. Patients with extramural vascular invasion showed significantly lower ADC values (p = 0.01). There was a significant increase in ADC values after treatment (p < 0.001), and a negative correlation was observed (r = -0.6572; p = 0.004)-tumors with low initial ADC values showed a higher increase in ADC. Conclusions: ADC measurements have a complementary role in the assessment of rectal cancer and have the potential to predict the response to chemoradiotherapy and improve the planning of proper treatment strategies.
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Affiliation(s)
- Aneta Yacheva
- Department of Diagnostic Imaging, University Hospital Alexandrovska, Medical University of Sofia, 1431 Sofia, Bulgaria
| | - Dragomir Dardanov
- Department of Surgery, University Hospital Lozenetz, 1407 Sofia, Bulgaria
| | - Dora Zlatareva
- Department of Diagnostic Imaging, University Hospital Alexandrovska, Medical University of Sofia, 1431 Sofia, Bulgaria
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14
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Patel S, Ankathi S, Haria P, Kazi M, Desouza AL, Saklani A. Impact of consolidation chemotherapy in poor responders to neoadjuvant radiation therapy: magnetic resonance imaging-based clinical-radiological correlation in high-risk rectal cancers. Ann Coloproctol 2023; 39:474-483. [PMID: 38124365 PMCID: PMC10781604 DOI: 10.3393/ac.2023.00080.0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/06/2023] [Accepted: 04/15/2023] [Indexed: 12/23/2023] Open
Abstract
PURPOSE The current study was conducted to examine the role of consolidation chemotherapy after neoadjuvant radiation therapy (NART) in decreasing the involvement of the mesorectal fascia (MRF) in high-risk locally advanced rectal cancers (LARCs). METHODS In total, 46 patients who received consolidation chemotherapy after NART due to persistent MRF involvement were identified from a database. A team of 2 radiologists, blinded to the clinical data, studied sequential magnetic resonance imaging (MRI) scans to assess the tumor response and then predict a surgical plan. This prediction was then correlated with the actual procedure conducted as well as histopathological details to assess the impact of consolidation chemotherapy. RESULTS The comparison of MRI-based parameters of sequential images showed significant downstaging of T2 signal intensity, tumor height, MRF involvement, diffusion restriction, and N category between sequential MRIs (P < 0.05). However, clinically relevant downstaging (standardized mean difference, > 0.3) was observed for only T2 signal intensity and diffusion restriction on diffusion-weighted imaging. No clinically relevant changes occurred in the remaining parameters; thus, no change was noted in the extent of surgery predicted by MRI. Weak agreement (Cohen κ coefficient, 0.375) and correlation (Spearman rank coefficient, 0.231) were found between MRI-predicted surgery and the actual procedure performed. The comparison of MRI-based and pathological tumor response grading also showed a poor correlation. CONCLUSION Evidence is lacking regarding the use of consolidation chemotherapy in reducing MRF involvement in LARCs. The benefit of additional chemotherapy after NART in decreasing the extent of planned surgery by reducing margin involvement requires prospective research.
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Affiliation(s)
- Swapnil Patel
- Department of Surgical Oncology, MPMMCC & HBCH, Tata Memorial Centre, Varanasi, India
| | - Suman Ankathi
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai, India
| | - Purvi Haria
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai, India
| | - Mufaddal Kazi
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
| | - Ashwin L. Desouza
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
| | - Avanish Saklani
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
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15
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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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Li Y, Zeng C, Du Y. Use of a radiomics-clinical model based on magnetic diffusion-weighted imaging for preoperative prediction of lymph node metastasis in rectal cancer patients. Medicine (Baltimore) 2023; 102:e36004. [PMID: 37960749 PMCID: PMC10637426 DOI: 10.1097/md.0000000000036004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023] Open
Abstract
Rectal cancer is the eighth most prevalent malignancy worldwide with a 3.2% mortality rate and 3.9% incidence rate. Radiologists still have difficulty in correctly diagnosing lymph node metastases that have been suspected preoperatively. To assess the effectiveness of a model combining clinical and radiomics features for the preoperative prediction of lymph node metastasis in rectal cancer. We retrospectively analyzed data from 104 patients with rectal cancer. All patients were selected as samples for the training (n = 72) and validation cohorts (n = 32). Lymph nodes (LNs) in diffusion-weighted images were analyzed to obtain 842 radiomic characteristics, which were then used to draw the region of interest. Logistic regression, least absolute shrinkage and selection operator, and between-group and within-group correlation analyses were combined to establish the radiomic score (rad-score). Receiver operating characteristic curves were used to estimate the prediction accuracy of the model. A calibration curve was constructed to test the predictive ability of the model. A decision curve analysis was performed to analyze the model's value in clinical application. The area under the curve for the radiomics-clinical, clinical, and radiomics models was 0.856, 0.810, and 0.781, respectively, in the training cohort and 0.880, 0.849, and 0.827, respectively, in the validation cohort. The calibration curve and DCA showed that the radiomics-clinical prediction model had good prediction accuracy, which was higher than that of the other models. The radiomics-clinical model showed a favorable predictive performance for the preoperative prediction of LN metastasis in patients with rectal cancer.
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Affiliation(s)
- Yehan Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, China
- Department of Radiology, Chongqing Cancer Hospital, Chongqing, China
| | - Chen Zeng
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, China
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, China
| | - Yong Du
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, China
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17
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Saleh L, Jaffer H, Kajal D, Kirsch R, Jaffer N. Imaging Features of Gastrointestinal Neoplasms Complicating Inflammatory Bowel Diseases. Curr Probl Diagn Radiol 2023; 52:570-575. [PMID: 37453864 DOI: 10.1067/j.cpradiol.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 06/21/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
Inflammatory bowel diseases (IBD) are chronic inflammatory diseases affecting the gastrointestinal (GI) tract. Patients with IBD, besides other non-neoplastic complications, are also at increased risk of GI malignancies such as colorectal cancer, small bowel adenocarcinoma and lymphoma. The principal purpose of imaging in patients with IBD to assess complications and to stage a clinically known cancer. In addition, the goal of imaging has expanded to include the diagnosis of GI malignancies in clinical situations where colonoscopy cannot be performed or is incomplete. In addition, imaging allows the detection of cancers in patients where the development of either disease-related or treatment-related neoplasia is clinically suspected. The purpose of this review is to present the different imaging techniques used to detect GI malignancies in IBD patients and describe the radiological appearances of GI malignancies in IBD patients.
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Affiliation(s)
- Lilyane Saleh
- Joint Department of Medical Imaging (MSH, UHN, WCH), Toronto, Ontario, Canada
| | - Hussein Jaffer
- Joint Department of Medical Imaging (MSH, UHN, WCH), Toronto, Ontario, Canada
| | - Dilkash Kajal
- Joint Department of Medical Imaging (MSH, UHN, WCH), Toronto, Ontario, Canada
| | - Richard Kirsch
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Nasir Jaffer
- Joint Department of Medical Imaging (MSH, UHN, WCH), Toronto, Ontario, Canada.
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18
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El Khababi N, Beets-Tan RGH, Tissier R, Lahaye MJ, Maas M, Curvo-Semedo L, Dresen RC, Nougaret S, Beets GL, Lambregts DMJ. Predicting response to chemoradiotherapy in rectal cancer via visual morphologic assessment and staging on baseline MRI: a multicenter and multireader study. Abdom Radiol (NY) 2023; 48:3039-3049. [PMID: 37358604 PMCID: PMC10480283 DOI: 10.1007/s00261-023-03961-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 06/27/2023]
Abstract
PURPOSE Pre-treatment knowledge of the anticipated response of rectal tumors to neoadjuvant chemoradiotherapy (CRT) could help to further optimize the treatment. Van Griethuysen et al. proposed a visual 5-point confidence score to predict the likelihood of response on baseline MRI. Aim was to evaluate this score in a multicenter and multireader study setting and compare it to two simplified (4-point and 2-point) adaptations in terms of diagnostic performance, interobserver agreement (IOA), and reader preference. METHODS Twenty-two radiologists from 14 countries (5 MRI-experts,17 general/abdominal radiologists) retrospectively reviewed 90 baseline MRIs to estimate if patients would likely achieve a (near-)complete response (nCR); first using the 5-point score by van Griethuysen (1=highly unlikely to 5=highly likely to achieve nCR), second using a 4-point adaptation (with 1-point each for high-risk T-stage, obvious mesorectal fascia invasion, nodal involvement, and extramural vascular invasion), and third using a 2-point score (unlikely/likely to achieve nCR). Diagnostic performance was calculated using ROC curves and IOA using Krippendorf's alpha (α). RESULTS Areas under the ROC curve to predict the likelihood of a nCR were similar for the three methods (0.71-0.74). IOA was higher for the 5- and 4-point scores (α=0.55 and 0.57 versus 0.46 for the 2-point score) with best results for the MRI-experts (α=0.64-0.65). Most readers (55%) favored the 4-point score. CONCLUSIONS Visual morphologic assessment and staging methods can predict neoadjuvant treatment response with moderate-good performance. Compared to a previously published confidence-based scoring system, study readers preferred a simplified 4-point risk score based on high-risk T-stage, MRF involvement, nodal involvement, and EMVI.
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Affiliation(s)
- Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106 BE, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106 BE, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Renaud Tissier
- Biostatistics Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106 BE, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106 BE, Amsterdam, The Netherlands
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Luís Curvo-Semedo
- Department of Radiology, Faculty of Medicine, Centro Hospitalar e Universitario de Coimbra EPE, University of Coimbra, Coimbra, Portugal
| | - Raphaëla C Dresen
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Stephanie Nougaret
- Medical Imaging Department, Montpellier Cancer Institute, Montpellier Cancer Research Institute (U1194), University of Montpellier, Montpellier, France
| | - 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
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106 BE, Amsterdam, The Netherlands.
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands.
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19
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Bergamaschi R, Bhatti S. Watch and wait: staying the course? Updates Surg 2023; 75:1379-1381. [PMID: 37162638 DOI: 10.1007/s13304-023-01529-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 05/03/2023] [Indexed: 05/11/2023]
Affiliation(s)
- R Bergamaschi
- Department of Surgery, New York Medical College, Taylor Pavilion, Suite D-365, 100 Woods Road, Valhalla, NY, 10595, USA.
| | - S Bhatti
- Department of Surgery, New York Medical College, Taylor Pavilion, Suite D-365, 100 Woods Road, Valhalla, NY, 10595, USA
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20
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Lee S, Kassam Z, Baheti AD, Hope TA, Chang KJ, Korngold EK, Taggart MW, Horvat N. Rectal cancer lexicon 2023 revised and updated consensus statement from the Society of Abdominal Radiology Colorectal and Anal Cancer Disease-Focused Panel. Abdom Radiol (NY) 2023; 48:2792-2806. [PMID: 37145311 PMCID: PMC10444656 DOI: 10.1007/s00261-023-03893-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/17/2023] [Accepted: 03/17/2023] [Indexed: 05/06/2023]
Abstract
The Society of Abdominal Radiology's Colorectal and Anal Cancer Disease-Focused Panel (DFP) first published a rectal cancer lexicon paper in 2019. Since that time, the DFP has published revised initial staging and restaging reporting templates, and a new SAR user guide to accompany the rectal MRI synoptic report (primary staging). This lexicon update summarizes interval developments, while conforming to the original lexicon 2019 format. Emphasis is placed on primary staging, treatment response, anatomic terminology, nodal staging, and the utility of specific sequences in the MRI protocol. A discussion of primary tumor staging reviews updates on tumor morphology and its clinical significance, T1 and T3 subclassifications and their clinical implications, T4a and T4b imaging findings/definitions, terminology updates on the use of MRF over CRM, and the conundrum of the external sphincter. A parallel section on treatment response reviews the clinical significance of near-complete response and introduces the lexicon of "regrowth" versus "recurrence". A review of relevant anatomy incorporates updated definitions and expert consensus of anatomic landmarks, including the NCCN's new definition of rectal upper margin and sigmoid take-off. A detailed review of nodal staging is also included, with attention to tumor location relative to the dentate line and locoregional lymph node designation, a new suggested size threshold for lateral lymph nodes and their indications for use, and imaging criteria used to differentiate tumor deposits from lymph nodes. Finally, new treatment terminologies such as organ preservation, TNT, TAMIS and watch-and-wait management are introduced. This 2023 version aims to serve as a concise set of up-to-date recommendations for radiologists, and discusses terminology, classification systems, MRI and clinical staging, and the evolving concepts in diagnosis and treatment of rectal cancer.
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Affiliation(s)
- Sonia Lee
- Radiological Sciences, University of California, Irvine, Irvine, CA, USA.
- University of California at Irvine, 101 The City Dr. S, Orange, CA, 92868, USA.
| | - Zahra Kassam
- Department of Medical Imaging, Schulich School of Medicine, St Joseph's Hospital, Western University, London, ON, N6A4V2, Canada
| | - Akshay D Baheti
- Department of Radiology, Tata Memorial Hospital and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Kevin J Chang
- Department of Radiology, Boston University Medical Center, Boston, MA, USA
| | - Elena K Korngold
- Department of Radiology, Oregon Health & Science University, Portland, OR, USA
| | - Melissa W Taggart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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21
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Gollub MJ, Costello JR, Ernst RD, Lee S, Maheshwari E, Petkovska I, Wasnik AP, Horvat N. A primer on rectal MRI in patients on watch-and-wait treatment for rectal cancer. Abdom Radiol (NY) 2023; 48:2836-2873. [PMID: 37099182 PMCID: PMC11210452 DOI: 10.1007/s00261-023-03900-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/27/2023]
Abstract
Total neoadjuvant treatment (TNT) for rectal cancer is becoming an accepted treatment paradigm and is changing the landscape of this disease, wherein up to 50% of patients who undergo TNT are able to avoid surgery. This places new demands on the radiologist in terms of interpreting degrees of response to treatment. This primer summarizes the Watch-and-Wait approach and the role of imaging, with illustrative "atlas-like" examples as an educational guide for radiologists. We present a brief literature summary of the evolution of rectal cancer treatment, with a focus on magnetic resonance imaging (MRI) assessment of response. We also discuss recommended guidelines and standards. We outline the common TNT approach entering mainstream practice. A heuristic and algorithmic approach to MRI interpretation is also offered. To illustrate management and common scenarios, we arranged the illustrative figures as follows: (I) Clinical complete response (cCR) achieved at the immediate post-TNT "decision point" scan time; (II) cCR achieved at some point during surveillance, later than the first post-TNT MRI; (III) near clinical complete response (nCR); (IV) incomplete clinical response (iCR); (V) discordant findings between MRI and endoscopy where MRI is falsely positive, even at follow-up; (VI) discordant cases where MRI seems to be falsely positive but is proven truly positive on follow-up endoscopy; (VII) cases where MRI is falsely negative; (VIII) regrowth of tumor in the primary tumor bed; (IX) regrowth outside the primary tumor bed; and (X) challenging scenarios, i.e., mucinous cases. This primer is offered to achieve its intended goal of educating radiologists on how to interpret MRI in patients with rectal cancer undergoing treatment using a TNT-type treatment paradigm and a Watch-and-Wait approach.
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Affiliation(s)
- Marc J Gollub
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| | - James R Costello
- Department of Diagnostic Imaging and Intervention, Motiff Cancer Center, Tampa, FL, 33612, USA
| | - Randy D Ernst
- Division of Diagnostic Imaging, Department of Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Sonia Lee
- Department of Radiology, University of California, Irvine, Orange, CA, 92868, USA
| | - Ekta Maheshwari
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Ashish P Wasnik
- Department of Radiology, University of MI-Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
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22
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El Khababi N, Beets-Tan RGH, Tissier R, Lahaye MJ, Maas M, Curvo-Semedo L, Dresen RC, Nougaret S, Beets GL, Lambregts DMJ. Sense and nonsense of yT-staging on MRI after chemoradiotherapy in rectal cancer. Colorectal Dis 2023; 25:1878-1887. [PMID: 37545140 DOI: 10.1111/codi.16698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/02/2023] [Accepted: 06/08/2023] [Indexed: 08/08/2023]
Abstract
AIM The aim of this work was to investigate the value of rectal cancer T-staging on MRI after chemoradiotherapy (ymrT-staging) in relation to the degree of fibrotic transformation of the tumour bed as assessed using the pathological tumour regression grade (pTRG) of Mandard as a standard of reference. METHOD Twenty two radiologists, including five rectal MRI experts and 17 'nonexperts' (general/abdominal radiologists), evaluated the ymrT stage on the restaging MRIs of 90 rectal cancer patients after chemoradiotherapy. The ymrT stage was compared with the final ypT stage at histopathology; the percentages of correct staging (ymrT = ypT), understaging (ymrT < ypT) and overstaging (ymrT > ypT) were calculated and compared between patients with predominant tumour at histopathology (pTRG4-5) and patients with predominant fibrosis (pTRG1-3). Interobserver agreement (IOA) was computed using Krippendorff's alpha. RESULTS Average ymrT/ypT stage concordance was 48% for the experts and 43% for the nonexperts; ymrT/ypT stage concordance was significantly higher in the pTRG4-5 subgroup (58% vs. 41% for the pTRG1-3 group; p = 0.01), with the best results for the MRI experts. Overstaging was the main source of error, especially in the pTRG1-3 subgroup (average overstaging rate 38%-44% vs. 13%-55% in the pTRG4-5 subgroup). IOA was higher for the expert versus nonexpert readers (α = 0.67 vs. α = 0.39). CONCLUSIONS ymrT-staging is moderately accurate; accuracy is higher in poorly responding patients with predominant tumour but low in good responders with predominant fibrosis, resulting in significant overstaging. Radiologists should shift their focus from ymrT-staging to detecting gross residual (and progressive) disease, and identifying potential candidates for organ preservation who would benefit from further clinical and endoscopic evaluation to guide final treatment planning.
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Affiliation(s)
- Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Renaud Tissier
- Biostatistics Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Luís Curvo-Semedo
- Department of Radiology, Centro Hospitalar e Universitario de Coimbra EPE, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Raphaëla C Dresen
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Stephanie Nougaret
- Medical Imaging Department, Montpellier Cancer Institute, Montpellier Cancer Research Institute (U1194), University of Montpellier, Montpellier, France
| | - Geerard L Beets
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
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23
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Pikūnienė I, Saladžinskas Ž, Basevičius A, Strakšytė V, Žilinskas J, Ambrazienė R. MRI Evaluation of Rectal Cancer Lymph Node Staging Using Apparent Diffusion Coefficient. Cureus 2023; 15:e45002. [PMID: 37701166 PMCID: PMC10493462 DOI: 10.7759/cureus.45002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2023] [Indexed: 09/14/2023] Open
Abstract
Introduction Colorectal cancer is the third most diagnosed cancer globally. Lymph node metastases significantly affect prognosis, emphasizing the importance of early detection and management. Despite significant advances in conventional MRI's role in staging, improvements in advanced functional imaging such as diffusion-weighted imaging (DWI) in identifying lymph node metastases persist. Objectives The aim is to evaluate the effectiveness of apparent diffusion coefficient (ADC) MRI in evaluating lymph node staging in rectal cancer. Patients and methods In a prospective study, 89 patients with stage II-III rectal cancer were grouped into two treatments: pre-operative FOLFOX4 chemotherapy and standard pre-operative chemoradiotherapy. All underwent 1.5T MRI, with T2-weighted and DWI sequences. A radiologist defined regions of interest on the tumor, lymph nodes, and intact rectal wall to calculate ADC values. Results Rectal cancer ADC's receiver operating characteristic curve had an area under the curve (AUC) of 0.688 (P < 0.001), with optimal ADC cutoff at 0.99 x 10-3 mm2/s (sensitivity: 75%, specificity: 83%). For lymph nodes, AUC was 0.508 (P < 0.001), with a cutoff of 0.9 x 10-3 mm2/s (sensitivity: 78%, specificity: 67%). No correlation between tumor and lymph node ADC values was observed. In chemotherapy patients, "healthy" inguinal lymph nodes had higher ADC values than affected ones pre-treatment (P = 0.001), a disparity fading post-treatment (P = 0.313). For chemoradiotherapy patients, the ADC difference persisted pre and post-treatment (P = 0.001). Conclusion The study of ADC-MRI showed different ADC values between tumors and lymph nodes and highlighted ADC differences between treatment groups. Notably, no correlation was observed between tumor and lymph node ADC values. However, differences were apparent when comparing "healthy" inguinal nodes with lymph nodes affected by cancer.
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Affiliation(s)
- Ingrida Pikūnienė
- Department of Radiology, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
| | - Žilvinas Saladžinskas
- Department of Surgery, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
| | - Algidas Basevičius
- Department of Radiology, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
| | - Vestina Strakšytė
- Department of Radiology, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
| | - Justas Žilinskas
- Department of Surgery, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
| | - Rita Ambrazienė
- Department of Oncology, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, LTU
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24
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Kimura C, Crowder SE, Kin C. Is It Really Gone? Assessing Response to Neoadjuvant Therapy in Rectal Cancer. J Gastrointest Cancer 2023; 54:703-711. [PMID: 36417142 DOI: 10.1007/s12029-022-00889-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE Non-operative management of rectal cancer is a feasible and appealing treatment option for patients who develop a complete response after neoadjuvant therapy. However, identifying patients who are complete responders is often a challenge. This review aims to present and discuss current evidence and recommendations regarding the assessment of treatment response in rectal cancer. METHODS A review of the current literature on rectal cancer restaging was performed. Studies included in this review explored the optimal interval between the end of neoadjuvant therapy and restaging, as well as modalities of assessment and their diagnostic performance. RESULTS The current standard for restaging rectal cancer is a multimodal assessment with the digital rectal examination, endoscopy, and T2-weighted MRI with diffusion-weighted imaging. Other diagnostic procedures under investigation are PET/MRI, radiomics, confocal laser endomicroscopy, artificial intelligence-assisted endoscopy, cell-free DNA, and prediction models incorporating one or more of the above-mentioned exams. CONCLUSION Non-operative management of rectal cancer requires a multidisciplinary approach. Understanding of the robustness and limitations of each exam is critical to inform patient selection for that treatment strategy.
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Affiliation(s)
- Cintia Kimura
- Department of Surgery, Division of General Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, H3680K94305, USA
| | - Sarah Elizabeth Crowder
- Department of Surgery, Division of General Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, H3680K94305, USA
- Brigham Young University, Provo, UT, USA
| | - Cindy Kin
- Department of Surgery, Division of General Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, H3680K94305, USA.
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25
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Bisgaard ALH, Keesman R, van Lier ALHMW, Coolens C, van Houdt PJ, Tree A, Wetscherek A, Romesser PB, Tyagi N, Lo Russo M, Habrich J, Vesprini D, Lau AZ, Mook S, Chung P, Kerkmeijer LGW, Gouw ZAR, Lorenzen EL, van der Heide UA, Schytte T, Brink C, Mahmood F. Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group. Radiother Oncol 2023; 186:109803. [PMID: 37437609 PMCID: PMC11197850 DOI: 10.1016/j.radonc.2023.109803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 06/30/2023] [Accepted: 07/06/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND AND PURPOSE The apparent diffusion coefficient (ADC), a potential imaging biomarker for radiotherapy response, needs to be reproducible before translation into clinical use. The aim of this study was to evaluate the multi-centre delineation- and calculation-related ADC variation and give recommendations to minimize it. MATERIALS AND METHODS Nine centres received identical diffusion-weighted and anatomical magnetic resonance images of different cancerous tumours (adrenal gland, pelvic oligo metastasis, pancreas, and prostate). All centres delineated the gross tumour volume (GTV), clinical target volume (CTV), and viable tumour volume (VTV), and calculated ADCs using both their local calculation methods and each of the following calculation conditions: b-values 0-500 vs. 150-500 s/mm2, region-of-interest (ROI)-based vs. voxel-based calculation, and mean vs. median. ADC variation was assessed using the mean coefficient of variation across delineations (CVD) and calculation methods (CVC). Absolute ADC differences between calculation conditions were evaluated using Friedman's test. Recommendations for ADC calculation were formulated based on observations and discussions within the Elekta MRI-linac consortium image analysis working group. RESULTS The median (range) CVD and CVC were 0.06 (0.02-0.32) and 0.17 (0.08-0.26), respectively. The ADC estimates differed 18% between b-value sets and 4% between ROI/voxel-based calculation (p-values < 0.01). No significant difference was observed between mean and median (p = 0.64). Aligning calculation conditions between centres reduced CVC to 0.04 (0.01-0.16). CVD was comparable between ROI types. CONCLUSION Overall, calculation methods had a larger impact on ADC reproducibility compared to delineation. Based on the results, significant sources of variation were identified, which should be considered when initiating new studies, in particular multi-centre investigations.
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Affiliation(s)
- Anne L H Bisgaard
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000 Odense, Denmark; Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19.3, 5000 Odense Denmark.
| | - Rick Keesman
- Department of Radiation Oncology, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Astrid L H M W van Lier
- Department of Radiotherapy, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX,Utrecht, The Netherlands.
| | - Catherine Coolens
- Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, M5G 2M9 Toronto, ON, Canada.
| | - Petra J van Houdt
- Department of Radiation Oncology, the Netherlands Cancer Institute, Postbus 90203, 1006 BE Amsterdam, The Netherlands.
| | - Alison Tree
- Department of Urology, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT London, UK.
| | - Andreas Wetscherek
- Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, SM2 5NG London, UK.
| | - Paul B Romesser
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, Box 22, NY 10065, New York, USA.
| | - Neelam Tyagi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 545 E. 73rd street, NY 10021, New York, USA.
| | - Monica Lo Russo
- Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.
| | - Jonas Habrich
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.
| | - Danny Vesprini
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, 2075 Bayview Avenue, M4N 3M5 Toronto, ON, Canada.
| | - Angus Z Lau
- Physical Sciences Platform, Sunnybrook Research Institute. Department of Medical Biophysics, University of Toronto, 2075 Bayview Avenue, M4N 3M5 Toronto, ON, Canada.
| | - Stella Mook
- Department of Radiotherapy, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX,Utrecht, The Netherlands.
| | - Peter Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network. Department of Radiation Oncology, University of Toronto, 610 University Avenue, M5G 2M9 Toronto, ON, Canada.
| | - Linda G W Kerkmeijer
- Department of Radiation Oncology, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Zeno A R Gouw
- Department of Radiation Oncology, the Netherlands Cancer Institute, Postbus 90203, 1006 BE Amsterdam, The Netherlands.
| | - Ebbe L Lorenzen
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000 Odense, Denmark.
| | - Uulke A van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Postbus 90203, 1006 BE Amsterdam, The Netherlands.
| | - Tine Schytte
- Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19.3, 5000 Odense Denmark; Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000 Odense, Denmark.
| | - Carsten Brink
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000 Odense, Denmark; Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19.3, 5000 Odense Denmark.
| | - Faisal Mahmood
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000 Odense, Denmark; Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19.3, 5000 Odense Denmark.
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Mohan H, Rabie M, Walsh C, Harji D, Sutton P, Geh I, Jackson I, Helbren E, Evans M, Jenkins JT. Patient and multidisciplinary team perspectives on watch and wait in rectal cancer. Colorectal Dis 2023; 25:1489-1497. [PMID: 37477408 DOI: 10.1111/codi.16592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/21/2023] [Accepted: 03/25/2023] [Indexed: 07/22/2023]
Abstract
This article adopts a multidisciplinary approach, including surgery, oncology, radiology and patient perspectives, to discuss the key points of debate surrounding a watch and wait approach. In an era of shared decision-making, discussion of watch and wait as an option in the context of complete clinical response is appropriate, although it is not the gold standard treatment. Key challenges are the difficulty in assessing for a complete clinical response, prediction of recurrence and access to timely diagnostics for surveillance. Salvage surgery has good results if regrowth is detected early but does have imperfect outcomes, with only a 90% salvage rate. Good communication with patients about the risks and alternatives is essential. Patients undergoing watch and wait should ideally be enrolled in prospective registries or clinical trials.
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Affiliation(s)
- Helen Mohan
- ACPGBI Advanced Malignancy Subcommittee, London, UK
- The Dukes Club, London, UK
- Department of Surgery, University of Melbourne, Melbourne, Australia
| | | | - Ciaran Walsh
- ACPGBI Multidisciplinary Clinical Committee, London, UK
| | | | | | - Ian Geh
- ACPGBI Multidisciplinary Clinical Committee, London, UK
| | | | - Emma Helbren
- British Society of Gastrointestinal Abdominal Radiology (BSGAR), London, UK
| | - Martyn Evans
- ACPGBI Multidisciplinary Clinical Committee, London, UK
| | - John T Jenkins
- ACPGBI Advanced Malignancy Subcommittee, London, UK
- ACPGBI Multidisciplinary Clinical Committee, London, UK
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Zhang G, Xu Z, Zheng J, Wang M, Ren J, Wei X, Huan Y, Zhang J. Ultra-high b-Value DWI in predicting progression risk of locally advanced rectal cancer: a comparative study with routine DWI. Cancer Imaging 2023; 23:59. [PMID: 37308941 DOI: 10.1186/s40644-023-00582-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 06/02/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND The prognosis prediction of locally advanced rectal cancer (LARC) was important to individualized treatment, we aimed to investigate the performance of ultra-high b-value DWI (UHBV-DWI) in progression risk prediction of LARC and compare with routine DWI. METHODS This retrospective study collected patients with rectal cancer from 2016 to 2019. Routine DWI (b = 0, 1000 s/mm2) and UHBV-DWI (b = 0, 1700 ~ 3500 s/mm2) were processed with mono-exponential model to generate ADC and ADCuh, respectively. The performance of the ADCuh was compared with ADC in 3-year progression free survival (PFS) assessment using time-dependent ROC and Kaplan-Meier curve. Prognosis model was constructed with ADCuh, ADC and clinicopathologic factors using multivariate COX proportional hazard regression analysis. The prognosis model was assessed with time-dependent ROC, decision curve analysis (DCA) and calibration curve. RESULTS A total of 112 patients with LARC (TNM-stage II-III) were evaluated. ADCuh performed better than ADC for 3-year PFS assessment (AUC = 0.754 and 0.586, respectively). Multivariate COX analysis showed that ADCuh and ADC were independent factors for 3-year PFS (P < 0.05). Prognostic model 3 (TNM-stage + extramural venous invasion (EMVI) + ADCuh) was superior than model 2 (TNM-stage + EMVI + ADC) and model 1 (TNM-stage + EMVI) for 3-year PFS prediction (AUC = 0.805, 0.719 and 0.688, respectively). DCA showed that model 3 had higher net benefit than model 2 and model 1. Calibration curve demonstrated better agreement of model 1 than model 2 and model 1. CONCLUSIONS ADCuh from UHBV-DWI performed better than ADC from routine DWI in predicting prognosis of LARC. The model based on combination of ADCuh, TNM-stage and EMVI could help to indicate progression risk before treatment.
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Affiliation(s)
- Guangwen Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, Shaanxi, 710032, China
| | - Ziliang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, Shaanxi, 710032, China
| | - Jianyong Zheng
- Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Mian Wang
- Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jialiang Ren
- Department of Pharmaceuticals Diagnostics, GE Healthcare China, Beijing, 100176, China
| | - Xiaocheng Wei
- Department of MR Research, GE Healthcare China, Beijing, 100176, China
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, Shaanxi, 710032, China
| | - Jinsong Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, Shaanxi, 710032, China.
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Wurschi GW, Güllmar D, Gaßler N, Clement J, Kesselmeier M, Müller-Wurschi JJ, Settmacher U, Mothes H, Helfritzsch H, Liebe Y, Franiel T, Mäurer MA, Ernst T, Nicolay NH, Wittig A. Planning adaptive treatment by longitudinal response assessment implementing MR imaging, liquid biopsy and analysis of microenvironment during neoadjuvant treatment of rectal cancer (PRIMO). Medicine (Baltimore) 2023; 102:e33575. [PMID: 37115093 PMCID: PMC10146036 DOI: 10.1097/md.0000000000033575] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023] Open
Abstract
INTRODUCTION Conducting neoadjuvant chemoradiotherapy (CRT) and additional preoperative consolidating chemotherapy (CTx), that is, total neoadjuvant therapy (TNT), improves local control and complete response (CR) rates in locally advanced rectal cancer (LARC), putting the focus on organ preservation concepts. Therefore, assessing response before surgery is crucial. Some LARC patients would either not benefit from intensification by TNT or may reach CR, making resection not mandatory. Treatment of LARC should therefore be based on patient individual risk and response to avoid overtreatment.The "PRIMO" pilot study aims to determine early response assessment to form a basis for development and validation of a noninvasive response prediction model by a subsequent prospective multicenter trial, which is highly needed for individual, response-driven therapy adaptions. METHODS PRIMO is a prospective observational cohort study including adult patients with LARC receiving neoadjuvant CRT. At least 4 multiparametric magnetic resonance imaging (MRI) scans (diffusion-weighted imaging [DWI] and hypoxia-sensitive sequences) as well as repeated blood samples in order to analyze circulating tumor cells (CTC) and cell-free tumor DNA (ctDNA) are scheduled. Pelvic radiotherapy (RT, 50.4 Gy) will be performed in combination with a 5-fluorouracil/oxaliplatin regimen in all patients (planned: N = 50), succeeded by consolidation CTx (FOLFOX4) if feasible. Additional (immuno)histochemical markers, such as tumor-infiltrating lymphocytes (TIL) and programmed death ligand 1 (PD-L1) status will be analyzed before and after CRT. Routine resection is scheduled subsequently, nonoperative management is offered alternatively in case of clinical CR (cCR).The primary endpoint is pathological response; secondary endpoints comprise longitudinal changes in MRI as well as in CTCs and TIL. These are evaluated for early response prediction during neoadjuvant therapy, in order to develop a noninvasive response prediction model for subsequent analyses. DISCUSSION Early response assessment is the key in differentiating "good" and "bad" responders during neoadjuvant CRT, allowing adaption of subsequent therapies (additional consolidating CTx, organ preservation). This study will contribute in this regard, by advancing MR imaging and substantiating new surrogate markers. Adaptive treatment strategies might build on these results in further studies.
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Affiliation(s)
- Georg W. Wurschi
- Department of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
- Clinician Scientist Program, Interdisciplinary Center for Clinical Research (IZKF), Jena University Hospital, Jena, Germany
| | - Daniel Güllmar
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - Nikolaus Gaßler
- Section of Pathology, Institute of Forensic Medicine, Jena University Hospital, Jena, Germany
| | - Joachim Clement
- Department of Hematology and Medical Oncology, Jena University Hospital, Jena, Germany
| | - Miriam Kesselmeier
- Institute of Medical Statistics, Computer and Data Sciences (IMSID), Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
| | | | - Utz Settmacher
- Department of General, Visceral and Vascular Surgery, Jena University Hospital, Jena, Germany
| | - Henning Mothes
- Department of General, Visceral and Vascular Surgery, Sophien- und Hufeland-Klinikum Weimar, Weimar, Germany
| | - Herry Helfritzsch
- Department of General, Visceral and Thoracic Surgery, Thuringia-Clinic Saalfeld Georgius Agricola, Saalfeld, Germany
| | - Yves Liebe
- Department of General and Visceral Surgery, SRH Klinikum Burgenlandkreis Naumburg, Naumburg, Germany
| | - Tobias Franiel
- Institute of Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
| | - Matthias A. Mäurer
- Department of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
- Clinician Scientist Program, Interdisciplinary Center for Clinical Research (IZKF), Jena University Hospital, Jena, Germany
| | - Thomas Ernst
- University Tumor Center (UTC), Jena University Hospital, Jena, Germany
| | - Nils H. Nicolay
- Department of Radiation Oncology, University of Leipzig Medical Center, Leipzig, Germany
| | - Andrea Wittig
- Department of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
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Mohammadi M, Kaye EA, Alus O, Kee Y, Golia Pernicka JS, El Homsi M, Petkovska I, Otazo R. Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network. Bioengineering (Basel) 2023; 10:bioengineering10030359. [PMID: 36978750 PMCID: PMC10045764 DOI: 10.3390/bioengineering10030359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 03/16/2023] Open
Abstract
This work presents a deep-learning-based denoising technique to accelerate the acquisition of high b-value diffusion-weighted MRI for rectal cancer. A denoising convolutional neural network (DCNN) with a combined L1–L2 loss function was developed to denoise high b-value diffusion-weighted MRI data acquired with fewer repetitions (NEX: number of excitations) using the low b-value image as an anatomical guide. DCNN was trained using 85 datasets acquired on patients with rectal cancer and tested on 20 different datasets with NEX = 1, 2, and 4, corresponding to acceleration factors of 16, 8, and 4, respectively. Image quality was assessed qualitatively by expert body radiologists. Reader 1 scored similar overall image quality between denoised images with NEX = 1 and NEX = 2, which were slightly lower than the reference. Reader 2 scored similar quality between NEX = 1 and the reference, while better quality for NEX = 2. Denoised images with fourfold acceleration (NEX = 4) received even higher scores than the reference, which is due in part to the effect of gas-related motion in the rectum, which affects longer acquisitions. The proposed deep learning denoising technique can enable eightfold acceleration with similar image quality (average image quality = 2.8 ± 0.5) and fourfold acceleration with higher image quality (3.0 ± 0.6) than the clinical standard (2.5 ± 0.8) for improved diagnosis of rectal cancer.
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Affiliation(s)
- Mohaddese Mohammadi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elena A. Kaye
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Or Alus
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Youngwook Kee
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ricardo Otazo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Correspondence:
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Feng M, Zhao Y, Chen J, Zhao T, Mei J, Fan Y, Lin Z, Yao J, Bu H. A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer. Quant Imaging Med Surg 2023; 13:1899-1913. [PMID: 36915334 PMCID: PMC10006118 DOI: 10.21037/qims-22-220] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 11/07/2022] [Indexed: 01/11/2023]
Abstract
Background The current study aimed to develop a deep learning (DL) model for prediction of lymph node metastasis (LNM) based on hematoxylin and eosin (HE)-stained histopathological images of endometrial cancer (EC). The model was validated using external data. Methods A total of 2,104 whole slide image (WSI) from 564 patients with pathologically confirmed LNM status were collated from West China Second University Hospital. An artificial intelligence (AI) model was built on the multiple instance-learning (MIL) framework for automatic prediction of the probability of LNM and its performance compared with "Mayo criteria". An additional external data source comprising 533 WSI was collected from two independent medical institutions to validate the model's robustness. Heatmaps were generated to demonstrate regions of the WSI that made the greatest contributions to the DL network output to improve understanding of these processes. Results The proposed MIL model achieved an area under the curve (AUC) of 0.938, a sensitivity of 0.830 and a specificity of 0.911 for LNM prediction to EC. The AUC according to Mayo criteria was 0.666 for the same test dataset. For types I, II and mixed EC, AUCs were 0.927, 0.979 and 0.929, respectively. The predictive performance of the MIL model also achieved an AUC of 0.921 for early staging. In external validation data, the proposed model achieved an AUC of 0.770, a sensitivity of 0.814 and a specificity of 0.520 for LNM prediction. AUCs were 0.783 for type I and 0.818 for early stage EC. Conclusions The proposed MIL model generated from histopathological images of EC has a much better LNM predictive performance than that of Mayo criteria. A novel DL-based biomarker trained on different histological subtypes of EC slides was revealed to predict metastatic status with improved accuracy, especially for early staging patients. The current study proves the concept of MIL-based prediction of LNM in EC for the first time, and brought a new sight to improve the accuracy of LNM prediction. Multicenter prospective validation data is required to further confirm the clinical utility.
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Affiliation(s)
- Min Feng
- Department of Pathology, West China Second University Hospital, Sichuan University & Key Laboratory of Birth Defect and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.,Laboratory of Pathology, West China Hospital, Sichuan University, Chengdu, China.,Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Zhao
- AI Lab, Tencent, Shenzhen, China
| | - Jie Chen
- Laboratory of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Tingyu Zhao
- Laboratory of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Juan Mei
- Laboratory of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yingying Fan
- Department of Pathology, West China Second University Hospital, Sichuan University & Key Laboratory of Birth Defect and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | | | | | - Hong Bu
- Laboratory of Pathology, West China Hospital, Sichuan University, Chengdu, China.,Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
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Which modality is better to diagnose high-grade transformation in retroperitoneal liposarcoma? Comparison of computed tomography, positron emission tomography, and magnetic resonance imaging. Int J Clin Oncol 2023; 28:482-490. [PMID: 36583836 DOI: 10.1007/s10147-022-02287-6] [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: 09/05/2022] [Accepted: 12/20/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Survival in patients with retroperitoneal liposarcoma (RPLS) depends on the surgical management of the dedifferentiated foci. The present study investigated the diagnostic yield of contrast-enhanced CT, 18F-fluorodeoxyglucose positron emission tomography (PET), and diffusion-weighted MRI in terms of dedifferentiated foci within the RPLS. METHODS Patients treated with primary or recurrent RPLS who underwent the above imaging between January 2010 and December 2021 were retrospectively reviewed. The diagnostic accuracy of the three modalities for histologic subtype of dedifferentiated liposarcoma (DDLS) and French Federation of Cancer Center (FNCLCC) grade 2/3 were compared using receiver operating characteristic curves and areas under the curves (AUCs). RESULTS The cohort involved 32 patients with 53 tumors; 30 of which exhibited DDLS and 31 of which did FNCLCC grades 2/3. The optimal thresholds for predicting DDLS were mean CT value of 31 Hounsfield Unit (HU) (AUC = 0.880, 95% CI 0.775-0.984; p < 0.001), maximum standardized uptake value (SUVmax) of 2.9 (AUC = 0.865 95% CI 0.792-0.980; p < 0.001), while MRI failed to differentiate DDLS. The cutoff values for distinguishing FNCLCC grades 1 and 2/3 were a mean CT value of 24 HU (AUC = 0.858, 95% CI 0.731-0.985; p < 0.001) and SUVmax of 2.9 (AUC = 0.885, 95% CI 0.792-0.978; p < 0.001). MRI had no sufficient power to separate these grades. CONCLUSIONS Contrast-enhanced CT and PET were useful for predicting DDLS and FNCLCC grade 2/3, while MRI was inferior to these two modalities.
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Yang T, Li Y, Ye Z, Yao S, Li Q, Yuan Y, Song B. Diffusion Weighted Imaging of the Abdomen and Pelvis: Recent Technical Advances and Clinical Applications. Acad Radiol 2023; 30:470-482. [PMID: 36038417 DOI: 10.1016/j.acra.2022.07.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/20/2022] [Accepted: 07/23/2022] [Indexed: 01/25/2023]
Abstract
Diffusion weighted imaging (DWI) serves as one of the most important functional magnetic resonance imaging techniques in abdominal and pelvic imaging. It is designed to reflect the diffusion of water molecules and is particularly sensitive to the malignancies. Yet, the limitations of image distortion and artifacts in single-shot DWI may hamper its widespread use in clinical practice. With recent technical advances in DWI, such as simultaneous multi-slice excitation, computed or reduced field-of-view techniques, as well as advanced shimming methods, it is possible to achieve shorter acquisition time, better image quality, and higher robustness in abdominopelvic DWI. This review discussed the recent advances of each DWI approach, and highlighted its future perspectives in abdominal and pelvic imaging, hoping to familiarize physicians and radiologists with the technical improvements in this field and provide future research directions.
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Affiliation(s)
- Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Shan Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Qing Li
- MR Collaborations, Siemens Healthcare, Shanghai, China
| | - Yuan Yuan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China.
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Zhang G, Xu Z, Zheng J, Wang M, Ren J, Wei X, Huan Y, Zhang J. Prognostic value of multi b-value DWI in patients with locally advanced rectal cancer. Eur Radiol 2023; 33:1928-1937. [PMID: 36219237 DOI: 10.1007/s00330-022-09159-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/20/2022] [Accepted: 09/09/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To evaluate the potential of multi b-value DWI in predicting the prognosis of patients with locally advanced rectal cancer (LARC). METHODS From 2015 to 2019, a total of 161 patients with LARC were enrolled and randomly sampled into a training set (n = 113) and validation set (n = 48). Multi b-value DWI (b = 0~1500 s/mm2) scans were postprocessed to generate functional parameters, including apparent diffusion coefficient (ADC), Dt, Dp, f, distributed diffusion coefficient (DDC), and α. Histogram features of each functional parameter were submitted into Least absolute shrinkage and selection operator (LASSO) and stepwise multivariate COX analysis to generate DWI_score based on the training set. The prognostic model was constructed with functional parameter, DWI_score, and clinicopathologic factors by using univariate and multivariate COX analysis on the training set and verified on the validation set. RESULTS Multivariate COX analysis revealed that DWI_score was an independent indicator for 5-year progression-free survival (PFS, HR = 5.573, p < 0.001), but not for overall survival (OS, HR = 2.177, p = 0.051). No mean value of functional parameters was correlated with PFS or OS. Prognostic model for 5-year PFS based on DWI_score, TNM-stage, mesorectal fascia (MRF), and extramural venous invasion (EMVI) showed good performance both in the training set (AUC = 0.819) and validation set (AUC = 0.815). CONCLUSIONS The DWI_score based on histogram features of multi b-value DWI functional parameters was an independent factor for PFS of LARC and the prognostic model with a combination of DWI_score and clinicopathologic factors could indicate the progression risk before treatment. KEY POINTS • Mean value of functional parameters obtained from multi b-value DWI might not be useful to assess the prognosis of LARC. • The DWI_score based on histogram features of multi b-value DWI functional parameters was an independent prognosis factor for PFS of LARC. • Prognostic model based on DWI_score and clinicopathologic factors could indicate the progression risk of LARC before treatment.
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Affiliation(s)
- Guangwen Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, 710032, Shaanxi, China
| | - Ziliang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, 710032, Shaanxi, China
| | - Jianyong Zheng
- Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Mian Wang
- Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Jialiang Ren
- Department of Pharmaceuticals Diagnostics, GE Healthcare China, Beijing, China
| | - Xiaocheng Wei
- Department of MR Research, GE Healthcare China, Beijing, China
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, 710032, Shaanxi, China
| | - Jinsong Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No.127, Chang Le West Road, Xi'an, 710032, Shaanxi, China.
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Ma C, Tian S, Song Q, Chen L, Meng X, Wang N, Lin L, Wang J, Liu A, Song Q. Amide Proton Transfer-Weighted Imaging Combined With Intravoxel Incoherent Motion for Evaluating Microsatellite Instability in Endometrial Cancer. J Magn Reson Imaging 2023; 57:493-505. [PMID: 35735273 DOI: 10.1002/jmri.28287] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/24/2022] [Accepted: 05/26/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Microsatellite instability (MSI), caused by mismatch repair (MMR) protein defects that lead to uncorrectable mismatch bases, results in the accumulation of gene mutations and ultimately to tumors. Preoperative prediction of MSI can provide a basis for personalized and precise treatment of endometrial cancer (EC) patients. PURPOSE To investigate amide proton transfer weighting (APTw) imaging combined with intravoxel incoherent motion (IVIM) in the assessment of MSI in EC. STUDY TYPE Retrospective. POPULATION A total of 71 patients with EC (12 classified as the MSI group and 22 as the microsatellite stabilization [MSS] group after entering and leaving the group standard). FIELD STRENGTH/SEQUENCE A 3.0 T/IVIM, diffusion-weighted imaging (DWI) and APTw. ASSESSMENT Amide proton transfer (APT) value, apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo diffusion coefficient (D*), and perfusion fraction (f) were calculated and compared between MSI and MSS groups. STATISTICAL TESTS The Kendall's W test; Mann-Whitney U-test; Chi-square test or Fisher's exact test; logistic regression analysis; Area under the receiver operating characteristic (ROC) curve (AUC); The Delong test; Pearson or Spearman correlation coefficients. The significance threshold was set at P < 0.05. RESULTS APT and D* values of the MSI group were significantly higher than those of the MSS group. While ADC, D, and f values in the MSI group were significantly lower than those in the MSS group. The multivariate analysis revealed that only APT and D* values were independent predictors to evaluate the MSI status. And the ROC curves indicated that the combination of APT and D* values could distinguish the MSI status of EC with the highest diagnostic efficacy (AUC = 0.973), even without significant difference to those by APT (AUC = 0.894) or D* (AUC = 0.920) value separately (P = 0.149 and 0.078, respectively). CONCLUSION Combination of APTw and IVIM imaging may serve as an effective noninvasive method for clinical assessment of MSI in EC. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Changjun Ma
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Shifeng Tian
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Qingling Song
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Lihua Chen
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Xing Meng
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Women and Children's Medical Group, Dalian, Liaoning, China
| | - Nan Wang
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Liangjie Lin
- Clinical & Technical Support, Philips Healthcare, Beijing, China
| | - Jiazheng Wang
- Clinical & Technical Support, Philips Healthcare, Beijing, China
| | - Ailian Liu
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
| | - Qingwei Song
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.,Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China
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Wang H, Chen X, Ding J, Deng S, Mao G, Tian S, Zhu X, Ao W. Novel multiparametric MRI-based radiomics in preoperative prediction of perirectal fat invasion in rectal cancer. Abdom Radiol (NY) 2023; 48:471-485. [PMID: 36508131 DOI: 10.1007/s00261-022-03759-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To investigate the feasibility and efficacy of a nomogram that combines clinical and radiomic features of magnetic resonance imaging (MRI) for preoperative perirectal fat invasion (PFI) prediction in rectal cancer. METHODS This was a retrospective study. A total of 363 patients from two centers were included in the study. Patients in the first center were randomly divided into training cohort (n = 212) and internal validation cohort (n = 91) at the ratio of 7:3. Patients in the second center were allocated to the external validation cohort (n = 60). Among the training cohort, the numbers of patients who were PFI positive and PFI negative were 108 and 104, respectively. The radiomics features of preoperative T2-weighted images, diffusion-weighted images and enhanced T1-weighted images were extracted, and the total Radscore of each patient was obtained. We created Clinic model and Radscore model, respectively, according to clinical data or Radscore only. And that, we assembled the combined model using the clinical data and Radscore. We used DeLong's test, receiver operating characteristic, calibration and decision curve analysis to assess the models' performance. RESULTS The three models had good performance. Clinic model and Radscore model showed equivalent performance with AUCs of 0.85, 0.82 (accuracy of 81%, 81%) in the training cohort, AUCs of 0.78, 0.86 (accuracy of 74%, 84%) in the internal cohort, and 0.84, 0.84 (accuracy of 80%, 82%) in the external cohort without statistical difference (DeLong's test, p > 0.05). AUCs and accuracy of Combined model were 0.89 and 87%, 0.90 and 88%, and 0.90 and 88% in the three cohorts, respectively, which were higher than that of Clinic model and Radscore model, but only in the training cohort with a statistical difference (DeLong's test, p < 0.05). The calibration curves of the nomogram exhibited acceptable consistency, and the decision curve analysis indicated higher net benefit in clinical practice. CONCLUSION A nomogram combining clinical and radiomic features of MRI to compute the probability of PFI in rectal cancer was developed and validated. It has the potential to serve as a preoperative biomarker for predicting pathological PFI of rectal cancer.
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Affiliation(s)
- Hui Wang
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China
| | - Xiaoyong Chen
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingfeng Ding
- Department of Radiology, Shanghai Putuo District People's Hospital, Shanghai, China
| | - Shuitang Deng
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China
| | - Guoqun Mao
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China
| | - Shuyuan Tian
- Department of Ultrasound, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiandi Zhu
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China
| | - Weiqun Ao
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China.
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Tong P, Sun D, Chen G, Ni J, Li Y. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer. BMC Cancer 2023; 23:61. [PMID: 36650498 PMCID: PMC9847040 DOI: 10.1186/s12885-023-10534-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/09/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Preoperative assessment of lymphovascular invasion(LVI) of rectal cancer has very important clinical significance. However, accurate preoperative imaging evaluation of LVI is highly challenging because the resolution of MRI is still limited. Relatively few studies have focused on prediction of LVI of rectal cancer with the tool of radiomics, especially in patients with negative statue of MRI-based extramural vascular invasion (mrEMVI).The purpose of this study was to explore the preoperative predictive value of biparametric MRI-based radiomics features for LVI of rectal cancer in patients with the negative statue of mrEMVI. METHODS The data of 146 cases of rectal adenocarcinoma confirmed by postoperative pathology were retrospectively collected. In the cases, 38 had positive status of LVI. All patients were examined by MRI before the operation. The biparametric MRI protocols included T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI). We used whole-volume three-dimensional method and two feature selection methods, minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO), to extract and select the features. Logistics regression was used to construct models. The area under the receiver operating characteristic curve (AUC) and DeLong's test were used to evaluate the diagnostic performance of the radiomics based on T2WI and DWI and the combined models. RESULTS Radiomics models based on T2WI and DWI had good predictive performance for LVI of rectal cancer in both the training cohort and the validation cohort. The AUCs of the T2WI model were 0.87 and 0.87, and the AUCs of the DWI model were 0.94 and 0.92. The combined model was better than the T2WI model, with AUCs of 0.97 and 0.95. The predictive performance of the DWI model was comparable to that of the combined model. CONCLUSIONS The radiomics model based on biparametric MRI, especially DWI, had good predictive value for LVI of rectal cancer. This model has the potential to facilitate the clinical recognition of LVI in rectal cancer preoperatively.
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Affiliation(s)
- Pengfei Tong
- grid.258151.a0000 0001 0708 1323Department of Radiology, Jiangnan University Medical Center, Wuxi, 214000 Jiangsu China
| | - Danqi Sun
- grid.429222.d0000 0004 1798 0228Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215006 Jiangsu China
| | - Guangqiang Chen
- grid.452666.50000 0004 1762 8363Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu China
| | - Jianming Ni
- grid.258151.a0000 0001 0708 1323Department of Radiology, Jiangnan University Medical Center, Wuxi, 214000 Jiangsu China
| | - Yonggang Li
- grid.429222.d0000 0004 1798 0228Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215006 Jiangsu China
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Bogveradze N, Snaebjornsson P, Grotenhuis BA, van Triest B, Lahaye MJ, Maas M, Beets GL, Beets-Tan RGH, Lambregts DMJ. MRI anatomy of the rectum: key concepts important for rectal cancer staging and treatment planning. Insights Imaging 2023; 14:13. [PMID: 36652149 PMCID: PMC9849549 DOI: 10.1186/s13244-022-01348-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/04/2022] [Indexed: 01/19/2023] Open
Abstract
A good understanding of the MRI anatomy of the rectum and its surroundings is pivotal to ensure high-quality diagnostic evaluation and reporting of rectal cancer. With this pictorial review, we aim to provide an image-based overview of key anatomical concepts essential for treatment planning, response evaluation and post-operative assessment. These concepts include the cross-sectional anatomy of the rectal wall in relation to T-staging; differences in staging and treatment between anal and rectal cancer; landmarks used to define the upper and lower boundaries of the rectum; the anatomy of the pelvic floor and anal canal, the mesorectal fascia, peritoneum and peritoneal reflection; and guides to help discern different pelvic lymph node stations on MRI to properly stage regional and non-regional rectal lymph node metastases. Finally, this review will highlight key aspects of post-treatment anatomy, including the assessment of radiation-induced changes and the evaluation of the post-operative pelvis after different surgical resection and reconstruction techniques.
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Affiliation(s)
- Nino Bogveradze
- grid.430814.a0000 0001 0674 1393Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands ,grid.5012.60000 0001 0481 6099GROW School for Oncology and Developmental Biology, University of Maastricht, Maastricht, The Netherlands ,Department of Radiology, American Hospital Tbilisi, Tbilisi, Georgia
| | - Petur Snaebjornsson
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Brechtje A. Grotenhuis
- grid.430814.a0000 0001 0674 1393Department of Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Baukelien van Triest
- grid.430814.a0000 0001 0674 1393Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J. Lahaye
- grid.430814.a0000 0001 0674 1393Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Monique Maas
- grid.430814.a0000 0001 0674 1393Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Geerard L. Beets
- grid.5012.60000 0001 0481 6099GROW School for Oncology and Developmental Biology, University of Maastricht, Maastricht, The Netherlands ,grid.430814.a0000 0001 0674 1393Department of Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G. H. Beets-Tan
- grid.430814.a0000 0001 0674 1393Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands ,grid.5012.60000 0001 0481 6099GROW School for Oncology and Developmental Biology, University of Maastricht, Maastricht, The Netherlands ,grid.10825.3e0000 0001 0728 0170Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Doenja M. J. Lambregts
- grid.430814.a0000 0001 0674 1393Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
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El Khababi N, Beets-Tan RGH, Tissier R, Lahaye MJ, Maas M, Curvo-Semedo L, Dresen RC, Nougaret S, Beets GL, Lambregts DMJ. Comparison of MRI response evaluation methods in rectal cancer: a multicentre and multireader validation study. Eur Radiol 2022; 33:4367-4377. [PMID: 36576549 DOI: 10.1007/s00330-022-09342-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/30/2022] [Accepted: 11/29/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVES To compare four previously published methods for rectal tumor response evaluation after chemoradiotherapy on MRI. METHODS Twenty-two radiologists (5 rectal MRI experts, 17 general/abdominal radiologists) retrospectively reviewed the post-chemoradiotherapy MRIs of 90 patients, scanned at 10 centers (with non-standardized protocols). They applied four response methods; two based on T2W-MRI only (MRI tumor regression grade (mrTRG); split-scar sign), and two based on T2W-MRI+DWI (modified-mrTRG; DWI-patterns). Image quality was graded using a 0-6-point score (including slice thickness and in-plane resolution; sequence angulation; DWI b-values, signal-to-noise, and artefacts); scores < 4 were classified below average. Mixed model linear regression was used to calculate average sensitivity/specificity/accuracy to predict a complete response (versus residual tumor) and assess the impact of reader experience and image quality. Group interobserver agreement (IOA) was calculated using Krippendorff's alpha. Readers were asked to indicate their preferred scoring method(s). RESULTS Average sensitivity/specificity/accuracy was 57%/64%/62% (mrTRG), 36%/79%/66% (split-scar), 40%/79%/67% (modified-mrTRG), and 37%/82%/68% (DWI-patterns); mrTRG showed higher sensitivity but lower specificity and accuracy (p < 0.001) compared to the other methods. IOA was lower for the split scar method (0.18 vs. 0.39-0.43). Higher reader experience had a significant positive effect on diagnostic performance and IOA (except for the split scar sign); below-average imaging quality had a significant negative effect on diagnostic performance. DWI pattern was selected as the preferred method by 73% of readers. CONCLUSIONS Methods incorporating DWI showed the most favorable results when combining diagnostic performance, IOA, and reader preference. Reader experience and image quality clearly impacted diagnostic performance emphasizing the need for state-of-the-art imaging and dedicated radiologist training. KEY POINTS • In a multireader study comparing 4 MRI methods for rectal tumor response evaluation, those incorporating DWI showed the best results when combining diagnostic performance, IOA, and reader preference. • The most preferred method (by 73% of readers) was the "DWI patterns" approach with an accuracy of 68%, high specificity of 82%, and group IOA of 0.43. • Reader experience level and MRI quality had an evident effect on diagnostic performance and IOA.
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Affiliation(s)
- Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Renaud Tissier
- Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Luís Curvo-Semedo
- Department of Radiology, Centro Hospitalar e Universitario de Coimbra EPE, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Raphaëla C Dresen
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Stephanie Nougaret
- Medical Imaging Department, Montpellier Cancer Institute, Montpellier Cancer Research Institute (U1194), University of Montpellier, Montpellier, France
| | - 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
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands. .,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands.
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Kurz FT, Schlemmer HP. Imaging in translational cancer research. Cancer Biol Med 2022; 19:j.issn.2095-3941.2022.0677. [PMID: 36476372 PMCID: PMC9724222 DOI: 10.20892/j.issn.2095-3941.2022.0677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 11/11/2022] [Indexed: 12/12/2022] Open
Abstract
This review is aimed at presenting some of the recent developments in translational cancer imaging research, with a focus on novel, recently established, or soon to be established cross-sectional imaging techniques for computed tomography (CT), magnetic resonance imaging (MRI), and positron-emission tomography (PET) imaging, including computational investigations based on machine-learning techniques.
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Affiliation(s)
- Felix T. Kurz
- Department of Radiology, German Cancer Research Center, Heidelberg 69120, Germany
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Hong Y, Song G, Jia Y, Wu R, He R, Li A. Predicting tumor deposits in patients with rectal cancer: Using the models of multiple mathematical parameters derived from diffusion-weighted imaging. Eur J Radiol 2022; 157:110573. [DOI: 10.1016/j.ejrad.2022.110573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/09/2022] [Accepted: 10/23/2022] [Indexed: 11/08/2022]
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Lu BL, Chen Y, Wen ZQ, Liu YY, Ma YR, Que YT, Zhang ZW, Wu XH, Yu SP. Quantitative assessment of the microstructure of the mesorectum with different prognostic statuses by intravoxel incoherent motion diffusion-weighed magnetic resonance imaging. BMC Gastroenterol 2022; 22:481. [PMID: 36418952 PMCID: PMC9685901 DOI: 10.1186/s12876-022-02555-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 10/26/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The mesorectum surrounding the rectum provides an ideal substrate for tumour spread. However, preoperative risk assessment is still an issue. This study aimed to investigate the microstructural features of mesorectum with different prognostic statuses by intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI). METHODS Patients with pathologically proven rectal adenocarcinoma underwent routine high-resolution rectal magnetic resonance imaging (MRI) and IVIM DWI sequences were acquired. The MRI-detected circumferential resection margin (mrCRM) and extramural vascular invasion (mrEMVI) were evaluated. IVIM parameters of the mesorectum adjacent to (MAT) and distant from (MDT) the tumour were measured and compared between and within the prognostic factor groups. RESULTS The positive mrCRM (pMAT < 0.001; pMDT = 0.013) and mrEMVI (pMAT = 0.001; pMDT < 0.001) groups demonstrated higher D values in the MAT and MDT than the corresponding negative groups. Conversely, the positive mrCRM (p = 0.001) and mrEMVI (p < 0.001) groups both demonstrated lower f values in the MAT. Similarly, in the self-comparison between the MAT and MDT in the above subgroups, D showed a significant difference in all subgroups (p < 0.001 for all), and f showed a significant difference in the positive mrCRM (p = 0.001) and mrEMVI (p = 0.002) groups. Moreover, the MAT displayed a higher D* in the positive mrCRM (p = 0.014), negative mrCRM (p = 0.009) and negative mrEMVI groups (p < 0.001). CONCLUSION The microstructure of the mesorectum in patients with rectal cancer with poor prognostic status shows changes based on IVIM parameters. IVIM parameters might be promising imaging biomarkers for risk assessment of tumour spread in mesorectum preoperatively.
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Affiliation(s)
- Bao-Lan Lu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Zi-Qiang Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Yi-Yan Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Yu-Ru Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Yu-Tao Que
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Zhi-Wen Zhang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Xue-Han Wu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China
| | - Shen-Ping Yu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2nd, 510080, Guangzhou, People's Republic of China.
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Carbonara R, Surgo A, Ciliberti MP, Gregucci F, Bonaparte I, Nicosia L, Meldolesi E, Caliandro M, Ferraro V, Inchingolo R, Memeo R, Ludovico E, Calbi R, Lavalle M, Gambacorta MA, Alongi F, Fiorentino A. Impact of preoperative chemoradiation with higher dose intensity modulated radiotherapy on pathological complete response for locally advanced rectal cancer: a systematic review. Expert Rev Anticancer Ther 2022; 22:1249-1259. [PMID: 36174658 DOI: 10.1080/14737140.2022.2130895] [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: 01/12/2023]
Abstract
INTRODUCTION Neoadjuvant chemoradiation (CRT) followed by total mesorectal excision is the current standard-of-care for locally advanced UICC II-III stage rectal cancer (LARC). A pathological complete response (pCR) correlates with survival. Improvements of pCR, including dose escalation, should be explored. The aim of this explorative analysis is to assess the impact on pCR of intensity-modulated radiotherapy (IMRT) with simultaneous integrated boost (SIB). AREAS COVERED A literature search via PICO (Population, Intervention, Comparison, Outcome) in MEDLINE/PubMed and EMBASE and a systematic review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Metanalysis) methodology were performed. Studies that reported pCR rate in patients with LARC in clinical stage T2N+M0 or cT3/4 N0/+M0 treated with preoperative CRT with SIB-IMRT/VMAT (Volumetric Modulated Arc Therapy) were included. Sixty-two studies were identified, but only eight clinical trials with a total of 311 patients were included . Median follow-up was 16-61 months. pCR reached the value of 38%. Good survival outcomes were observed with a mild toxicity profile. EXPERT OPINION Radiotherapy dose intensification in LARC showed a slight increase of pCR compared to historical studies. Prospective evaluations are necessary to define which patients would benefit most.
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Affiliation(s)
- Roberta Carbonara
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Alessia Surgo
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Maria Paola Ciliberti
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Fabiana Gregucci
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Ilaria Bonaparte
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Luca Nicosia
- IRCCS, Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy
| | - Elisa Meldolesi
- Radiation Oncology Department, Fondazione Policlinico Universitario A.Gemelli, IRCCS, Rome, Italy
| | - Morena Caliandro
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Valentina Ferraro
- Hepatobiliary and Pancreatic Surgery Unit, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Riccardo Inchingolo
- Hepatobiliary and Pancreatic Surgery Unit, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Riccardo Memeo
- Hepatobiliary and Pancreatic Surgery Unit, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
| | - Elena Ludovico
- Radiology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti (BA), Bari, Italy
| | - Roberto Calbi
- Radiology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti (BA), Bari, Italy
| | - Mariadea Lavalle
- Nuclear Medicine Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti (BA), Bari, Italy
| | | | - Filippo Alongi
- IRCCS, Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy.,Medicine Faculty, University of Brescia, Brescia, Italy
| | - Alba Fiorentino
- Radiation Oncology Department, General Regional Hospital F. Miulli, Acquaviva delle Fonti, Bari, Italy
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43
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Opara CO, Khan FY, Kabiraj DG, Kauser H, Palakeel JJ, Ali M, Chaduvula P, Chhabra S, Lamsal Lamichhane S, Ramesh V, Mohammed L. The Value of Magnetic Resonance Imaging and Endorectal Ultrasound for the Accurate Preoperative T-staging of Rectal Cancer. Cureus 2022; 14:e30499. [DOI: 10.7759/cureus.30499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022] Open
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44
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EL Sayed FM, Nassef EM, Abdelmageed NA, Abdel Maqsoud RR, Abosaif AI. Diffusion-Weighted MRI as Non-Invasive Diagnostic Tool for Rectal Cancer Aggressiveness and Correlation with KI-67 Expression in Tumor Tissue. Asian Pac J Cancer Prev 2022; 23:3387-3391. [PMID: 36308363 PMCID: PMC9924338 DOI: 10.31557/apjcp.2022.23.10.3387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND AND AIM Apparent diffusion coefficient (ADC) was suggested as a prognostic marker in rectal carcinoma (RC). However, reported data are inconsistent. The present study aimed to assess the relation between ADC value and Ki-67 expression index and other pathological parameters in Egyptian RC patients. MATERIALS AND METHODS The study included 39 patients with newly diagnosed RC (non-mucinous adenocarcinoma). All patients underwent magnetic resonance imaging (MRI) scan by 1.5T magnet. Mean ADC value was calculated. Pathological features were assessed and Ki- 67 immunohistochemical expression was applied as a proliferative index (PI) biomarker. RESULTS It was shown that patients with T4 tumors had significantly lower ADC values when compared with patients with T2 and T3 (0.903 ± 0.24 versus 1.157 ± 0.31 and 0.971 ± 0.26 respectively, p<0.001). Also, patients with circumferential resection margin (CRM) involvement had significantly lower ADC values when compared with patients without (0.905 ± 0.24 versus 1.109 ± 0.30, p=0.036). Patients with T4 tumors expressed significantly higher ki-67 PI when compared with patients with T2 and T3 tumors (75.71 ± 5.14 versus 46.25 ± 5.18 and 75.71 ± 5.14 respectively, p<0.001). Pearson's correlation coefficient identified a significant inverse correlation between ADC values and ki-67 PI (r=-367, p=0.027). CONCLUSION ADC values of RC may reflect tumor staging and Ki-67 is closely related to the ADC value confirm this result.
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Affiliation(s)
- Fadila Mamdouh EL Sayed
- Department of Radiodiagnosis, Faculty of Medicine For Girl, Al-Azhar University, Cairo, Egypt.
| | - Eman Mostafa Nassef
- Department of Internal Medicine, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt. ,For Correspondence:
| | - Neamat Abdelmageed Abdelmageed
- Department of Hepatogastroenterology and Infectious Diseases, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt.
| | | | - Amany Ibrahim Abosaif
- Department of Pathology, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt.
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45
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Endorectal Ultrasound Shear-Wave Elastography of Complex Rectal Adenoma and Early Rectal Cancer. Diagnostics (Basel) 2022; 12:diagnostics12092166. [PMID: 36140566 PMCID: PMC9497521 DOI: 10.3390/diagnostics12092166] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: To investigate the diagnostic performance of endorectal ultrasound (ERUS), shear-wave elastography (SWE), and magnetic resonance imaging (MRI) in patients with a complex rectal adenoma or an early rectal cancer, i.e., T1 or T2 adenocarcinoma in a clinical setting, and to evaluate the association between SWE and stromal fraction (SF) and apparent diffusion coefficient (ADC) and SF. Method: This prospective study included patients undergoing ERUS and SWE for a rectal tumor subsequently confirmed by histopathology to be an adenoma or a T1 or T2 adenocarcinoma. The accuracy of the imaging methods was assessed by comparing the T category as determined by ERUS and MRI with histopathology, which served as the gold standard. SF was assessed on surgical specimens. Results: A total of 86 patients were included. Of these, 62 patients had adenomas and 24 patients had carcinomas, of which 11 were T1 tumors and 13 were T2 tumors. ERUS and MRI yielded sensitivity, specificity, and accuracy of 0.79 and 0.73, 0.95 and 0.90, and 0.86 and 0.78, respectively, for discrimination between benign and malignant lesions. The area under the receiver operating characteristics curve for SWE was 0.88, and with a cut-off value of 40 kPa the sensitivity, specificity, and accuracy were 0.79, 0.89, and 0.86, respectively. There was a positive correlation between SF and SWE with a p-value of <0.001 and a negative correlation between SF and ADC with a p-value of 0.011. Conclusion: Both ERUS and MRI classified T categories with a high accuracy; however, ERUS classified more adenomas correctly than MRI. In this small population, SWE could differentiate an adenoma from early carcinoma. SF was correlated with both SWE and ADC, as increasing SF tended to yield higher SWE and lower ADC values.
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46
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Dahlbäck C, Korsbakke K, Alshibiby Bergman T, Zaki J, Zackrisson S, Buchwald P. Accuracy of magnetic resonance imaging staging of tumour and nodal stage in rectal cancer treated by primary surgery: a population-based study. Colorectal Dis 2022; 24:1047-1053. [PMID: 34491607 DOI: 10.1111/codi.15905] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/29/2021] [Accepted: 08/01/2021] [Indexed: 02/08/2023]
Abstract
AIM The preoperative stage of rectal cancer is an important prognostic factor affecting treatment recommendations. Currently, magnetic resonance imaging (MRI) is used for clinical staging to identify patients who should be recommended for neoadjuvant oncological treatment. The aim of this work was to investigate the accuracy of the preoperative T- and N-stage and also involvement of the mesorectal fascia (MRF) as determined by MRI in a Swedish national cohort. METHOD Patients who had undergone resectional surgery for rectal cancer without neoadjuvant treatment in Sweden in the period 2013-2017 were identified through the Swedish Colorectal Cancer Registry (n = 2062). The T- and N-stage determined by preoperative MRI were compared with the histopathological results. The MRI-assessed MRF status was compared with the circumferential resection margin. RESULTS Sensitivity for differentiating T1-2 from T3-4 was 69% and specificity 77%. Sensitivity to detect N1-2 was 42% and specificity 81%. Sensitivity for MRF positivity was 50% and specificity 92%. Agreement analysed by weighted kappa analysis was 0.47 for T-stage [confidence interval (CI) 0.44-0.51], 0.24 for N-stage (CI 0.19-0.24) and 0.20 for MRF status (CI 0.12-0.29). CONCLUSION In this study, accuracy of the preoperative MRI was lower than expected for rectal cancers. Overstaging might lead to potentially harmful neoadjuvant treatment and understaging can lead to a higher risk of tumour recurrence. The results of this study show that efforts should be made to increase the accuracy of the preoperative evaluation in order to optimize treatment recommendations.
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Affiliation(s)
- Cecilia Dahlbäck
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.,Department of Surgery, Skåne University Hospital, Malmö, Sweden
| | | | | | | | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Lund University, Lund, Sweden.,Department of Imaging and Functional Medicine, Skåne University Hospital, Malmö, Sweden
| | - Pamela Buchwald
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.,Department of Surgery, Skåne University Hospital, Malmö, Sweden
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47
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Fontana G, Barcellini A, Boccuzzi D, Pecorilla M, Loap P, Cobianchi L, Vitolo V, Fiore MR, Vai A, Baroni G, Preda L, Imparato S, Orlandi E. Role of diffusion-weighted MRI in recurrent rectal cancer treated with carbon ion radiotherapy. Future Oncol 2022; 18:2403-2412. [PMID: 35712914 DOI: 10.2217/fon-2021-1554] [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: 11/21/2022] Open
Abstract
Aim: To evaluate the association between pretreatment diffusion-weighted MRI (DW-MRI) and 12-month radiological response in locally recurrent rectal cancer treated with carbon ion radiotherapy. Methods: Histogram analysis was performed on pretreatment DW-MRI for patients re-irradiated with carbon ion radiotherapy for local recurrence of rectal cancer. Results: A total of 17 patients were enrolled in the study. Pretreatment DW-MRI b-value of 1000 s/mm2 (b1000) and apparent diffusion coefficient (ADC) lesion median values for 1-year nonresponders (six patients) and responders (11 patients) demonstrated a median (interquartile of median values) of 62.5 (23.9) and 34.0 (13.0) and 953.0 (277.0) and 942.5 (339.0) μm2/s, respectively. All b1000 histogram features (h-features) and ADC h-kurtosis showed statistically significant differences, whereas only b1000 h-median, b1000 h-interquartile range and ADC h-kurtosis demonstrated remarkable diagnostic accuracy. Conclusion: DW-MRI showed promising results in predicting carbon ion radiotherapy outcome in local recurrence of rectal cancer, particularly with regard to b1000 h-median, b1000 h-interquartile range and ADC h-kurtosis.
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Affiliation(s)
- Giulia Fontana
- Clinical Bioengineering Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Amelia Barcellini
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Dario Boccuzzi
- Department of Radiology, Diagnostic Radiology Residency School, University of Pavia, Pavia, 27100, Italy.,Department of Radiology, Valduce Hospital, Como, 22100, Italy
| | - Mattia Pecorilla
- Radiology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Pierre Loap
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy.,Department of Radiation Oncology, Institut Curie, Paris, 75005, France
| | - Lorenzo Cobianchi
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, 27100, Italy.,Department of General Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy
| | - Viviana Vitolo
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Maria Rosaria Fiore
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Alessandro Vai
- Medical Physics Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Guido Baroni
- Clinical Bioengineering Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy.,Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy
| | - Lorenzo Preda
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, 27100, Italy.,Department of Radiology, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy
| | - Sara Imparato
- Radiology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
| | - Ester Orlandi
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy, Pavia, 27100, Italy
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Li J, Gao X, Dominik Nickel M, Cheng J, Zhu J. Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study. Cancer Imaging 2022; 22:30. [PMID: 35715848 PMCID: PMC9204907 DOI: 10.1186/s40644-022-00461-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background Previous studies have indicated that T1 relaxation time could be utilized for the analysis of tissue characteristics. T1 mapping technology has been gradually used on research of body tumor. In this study, the application of native T1 relaxation time for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma was investigated. Methods One hundred and twenty patients with pathologically confirmed rectal adenocarcinoma were retrospectively evaluated. All patients underwent high-resolution anatomical magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and T1 mapping sequences. Parameters of T1 relaxation time and apparent diffusion coefficient (ADC) were measured between the different groups. The diagnostic power was evaluated though the receiver operating characteristic (ROC) curve. Results The T1 and ADC values varied significantly between rectal mucinous adenocarcinoma (MC) and non-mucinous rectal adenocarcinoma (AC) ([1986.1 ± 163.3 ms] vs. [1562.3 ± 244.2 ms] and [1.38 ± 0.23 × 10−3mm2/s] vs. [1.03 ± 0.15 × 10−3mm2/s], respectively; P < 0.001). In the AC group, T1 relaxation time were significantly different between the low- and high-grade adenocarcinoma cases ([1508.7 ± 188.6 ms] vs. [1806.5 ± 317.5 ms], P < 0.001), while no differences were apparent in the ADC values ([1.03 ± 0.14 × 10−3mm2/s] vs. [1.04 ± 0.18 × 10−3mm2/s], P > 0.05). No significant differences in T1 and ADC values were identified between the different T and N stage groups for both MC and AC (all P > 0.05). Conclusions Native T1 relaxation time can be used to discriminate MC from AC. The T1 relaxation time was helpful for differentiating the low- and high-grade of AC.
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Affiliation(s)
- Juan Li
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Dong Road, Zhengzhou, 450052, China
| | - Xuemei Gao
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Dong Road, Zhengzhou, 450052, China
| | | | - Jingliang Cheng
- Department of MRI, the First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Dong Road, Zhengzhou, 450052, China.
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, 100000, China
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49
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Caroli A. Diffusion-Weighted Magnetic Resonance Imaging: Clinical Potential and Applications. J Clin Med 2022; 11:3339. [PMID: 35743409 PMCID: PMC9224775 DOI: 10.3390/jcm11123339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 02/05/2023] Open
Abstract
Since its discovery in the 1980s [...].
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Affiliation(s)
- Anna Caroli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
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50
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Ao W, Zhang X, Yao X, Zhu X, Deng S, Feng J. Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study. BMC Med Imaging 2022; 22:78. [PMID: 35484509 PMCID: PMC9052632 DOI: 10.1186/s12880-022-00810-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 04/22/2022] [Indexed: 12/29/2022] Open
Abstract
Background To explore the value of the quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) parameters in assessing preoperative extramural venous invasion (EMVI) in rectal cancer. Methods Eighty-two rectal adenocarcinoma patients who had underwent MRI preoperatively were enrolled in this study. The differences in quantitative DCE-MRI and DWI parameters including Krans, Kep and ADC values were analyzed between MR-detected EMVI (mrEMVI)-positive and -negative groups. Multivariate logistic regression analysis was performed to build the combined prediction model for pathologic EMVI (pEMVI) with statistically significant quantitative parameters. The performance of the model for predicting pEMVI was evaluated using receiver operating characteristic (ROC) curve. Results Of the 82 patients, 24 were mrEMVI-positive and 58 were -negative. In the mrEMVI positive group, the Ktrans and Kep values were significantly higher than those in the mrEMVI negative group (P < 0.01), but the ADC values were significantly lower (P < 0.01). A negative correlation was observed between the Ktrans vs ADC values and Kep vs ADC values in patients with rectal cancer. Among the four quantitative parameters, Ktrans and ADC value were independently associated with mrEMVI by multivariate logistic regression analysis. ROC analysis showed that combined prediction model based on quantitative DCE parameters and ADC values had a good prediction efficiency for pEMVI in rectal cancer. Conclusion The quantitative DCE-MRI parameters, Krans, Kep and ADC values play important role in predicting EMVI of rectal cancer, with Ktrans and ADC value being independent predictors of EMVI in rectal cancer.
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Affiliation(s)
- Weiqun Ao
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Xian Zhang
- Departments of Radiology, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital, No. 9 Jianmin Road, Zhuji, 311800, Zhejiang Province, China
| | - Xiuzhen Yao
- Department of Ultrasound, Shanghai Putuo District People's Hospital, Shanghai, China
| | - Xiandi Zhu
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Shuitang Deng
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Jianju Feng
- Departments of Radiology, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital, No. 9 Jianmin Road, Zhuji, 311800, Zhejiang Province, China.
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