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Katdare AN, Baheti AD, Pangarkar SY, Mistry KA, Ankathi SK, Haria PD, Choudhari AJ, Guha A, Gala K, Shetty N, Kulkarni S, Ramadwar M, Bal M. Evaluation of an Objective MRI-Based Tumor Regression Grade (mrTRG) Score and a Subjective Likert Score for Assessing Treatment Response in Locally Advanced Rectal Cancers-A Retrospective Study. Indian J Radiol Imaging 2024; 34:69-75. [PMID: 38106857 PMCID: PMC10723953 DOI: 10.1055/s-0043-1772695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023] Open
Abstract
Purpose: Magnetic resonance imaging (MRI) with the help of MRI-based tumor regression grade (mrTRG) score has been used as a tool to predict pathological tumor regression grade (pTRG) in patients of rectal cancer post-neoadjuvant chemoradiation. Our study aims to evaluate the ability of MRI in assessing treatment response comparing an objective mrTRG score and a subjective Likert score, with a focus on the ability to predict pathologic complete response (pCR). Methods: Post-treatment MRI studies were retrospectively reviewed for 170 consecutive cases of histopathologically proven rectal cancer after receiving neoadjuvant chemoradiation and prior to surgery by two oncoradiologists blinded to the eventual postoperative histopathology findings. An objective (mrTRG) and a subjective Likert score were assigned to all the cases. Receiver operating characteristic curves were constructed to determine the ability of Likert scale and mrTRG to predict pCR, with postoperative histopathology being the gold standard. The optimal cutoff points on the scale of 1 to 5 were obtained for mrTRG and Likert scale with the greatest sum of sensitivity and specificity using the Youden Index. Results: The most accurate cutoff point for the mrTRG to predict complete response was 2.5 (using Youden index), with a sensitivity of 69.2%, specificity of 69.6%, positive predictive value (PPV) of 85.6%, negative predictive value (NPV) of 46.4%, and accuracy of 69.3%. The most accurate cutoff for the Likert scale to predict complete response was 3.5, with a sensitivity of 47.5%, specificity of 89.1%, PPV of 91.9%, NPV of 39.4%, and accuracy of 59%. mrTRG had a lower cutoff and was more accurate in predicting pCR compared to Likert score. Conclusion: An objective mrTRG was more accurate than a subjective Likert scale to predict complete response in our study.
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Affiliation(s)
- Aparna N Katdare
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Akshay D Baheti
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sayali Y Pangarkar
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kunal A Mistry
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suman K Ankathi
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Purvi D Haria
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Amit J Choudhari
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Amrita Guha
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kunal Gala
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Nitin Shetty
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suyash Kulkarni
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mukta Ramadwar
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Munita Bal
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Mumbai, Maharashtra, India
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Pangarkar SY, Baheti AD, Mistry KA, Choudhari AJ, Patil VR, Ahuja A, Katdare AN, Patil AB, Ostwal VS, Ramadwar MR, Engineer RZ, Saklani AP. Prognostic Significance of EMVI in Rectal Cancer in a Tertiary Cancer Hospital in India. Indian J Radiol Imaging 2021; 31:560-565. [PMID: 34790298 PMCID: PMC8590579 DOI: 10.1055/s-0041-1736404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background
Presence of extramural venous invasion (EMVI) is a poor prognostic factor for rectal cancer as per literature. However, India-specific data are lacking.
Aim
The aim of the study is to determine the prognostic significance of EMVI in locally advanced rectal cancer on baseline MRI.
Materials and Methods
We retrospectively reviewed 117 MRIs of operable non-metastatic locally advanced rectal cancers in a tertiary cancer institute. Three dedicated oncoradiologists determined presence or absence of EMVI, and its length and thickness, in consensus. These patients were treated as per standard institutional protocols and followed up for a median period of 37 months (range: 2–71 months). Kaplan-Meier curves (95% CI) were used to determine disease-free survival (DFS), distant-metastases free survival (DMFS), and overall survival (OS). Univariate analysis was performed by comparing groups with log-rank test.
Results
EMVI positive cases were 34/114 (29%). More EMVI-positive cases developed distant metastasis compared with EMVI-negative cases (14/34–41% vs. 22/83–26%). The difference, however, was not statistically significant (
p
= 0.146). After excluding signet-ring cell cancers (
n
= 14), EMVI showed significant correlation with DMFS (
p
= 0.046), but not with DFS or OS. The median thickness and length of EMVI was 6 and 14 mm, respectively in patients who developed distant metastasis, as compared with 5 and 11 mm in those who did not, although this difference was not statistically significant.
Conclusion
EMVI is a predictor of distant metastasis in locally advanced non-metastatic, non-signet ring cell rectal cancers. EMVI can be considered another high-risk feature to predict distant metastasis.
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Affiliation(s)
- Sayali Y Pangarkar
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Akshay D Baheti
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Kunal A Mistry
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Amit J Choudhari
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Vasundhara R Patil
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Ankita Ahuja
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Aparna N Katdare
- Department of Radio-diagnosis, Tata Memorial Centre, Mumbai, Maharashtra, India.,Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Akshay B Patil
- Division of Clinical Research and Statistics, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Vikas S Ostwal
- Homi Bhabha National Institute, Mumbai, Maharashtra, India.,Department of Medical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Mukta R Ramadwar
- Homi Bhabha National Institute, Mumbai, Maharashtra, India.,Department of Pathology Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Reena Z Engineer
- Homi Bhabha National Institute, Mumbai, Maharashtra, India.,Department of Radiation Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Avanish P Saklani
- Homi Bhabha National Institute, Mumbai, Maharashtra, India.,Department of Surgical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
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