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Capaldi DPI, Wang JY, Liu L, Sheth VR, Kidd EA, Hristov DH. Parametric response mapping of co-registered intravoxel incoherent motion magnetic resonance imaging and positron emission tomography in locally advanced cervical cancer undergoing concurrent chemoradiation therapy. Phys Imaging Radiat Oncol 2024; 31:100630. [PMID: 39262680 PMCID: PMC11387531 DOI: 10.1016/j.phro.2024.100630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 08/08/2024] [Accepted: 08/13/2024] [Indexed: 09/13/2024] Open
Abstract
Background and Purpose Intravoxel-incoherent-motion (IVIM) magnetic-resonance-imaging (MRI) and positron-emission-tomography (PET) have been investigated independently but not voxel-wise to evaluate tumor microenvironment in cervical carcinoma patients. Whether regionally combined information of IVIM and PET offers additional predictive benefit over each modality independently has not been explored. Here, we investigated parametric-response-mapping (PRM) of co-registered PET and IVIM in cervical cancer patients to identify sub-volumes that may predict tumor shrinkage to concurrent-chemoradiation-therapy (CCRT). Materials and Methods Twenty cervical cancer patients (age: 63[41-85]) were retrospectively evaluated. Diffusion-weighted-images (DWIs) were acquired on 3.0 T MRIs using a free-breathing single-shot-spin echo-planar-imaging (EPI) sequence. Pre- and on-treatment (∼after four-weeks of CCRT) MRI and pre-treatment FDG-PET/CT were acquired. IVIM model-fitting on the DWIs was performed using a Bayesian-fitting simplified two-compartment model. Three-dimensional rigidly-registered maps of PET/CT standardized-uptake-value (SUV) and IVIM diffusion-coefficient (D) and perfusion-fraction (f) were generated. Population-means of PET-SUV, IVIM-D and IVIM-f from pre-treatment-scans were calculated and used to generate PRM via a voxel-wise joint-histogram-analysis to classify voxels as high/low metabolic-activity and with high/low (hi/lo) cellular-density. Similar PRM maps were generated for SUV and f. Results Tumor-volume (p < 0.001) significantly decreased, while IVIM-f (p = 0.002) and IVIM-D (p = 0.03) significantly increased on-treatment. Pre-treatment tumor-volume (r = -0.45,p = 0.04) and PRM-SUVhi D lo (r = -0.65,p = 0.002) negatively correlated with ΔGTV, while pre-treatment IVIM-D (r = 0.64,p = 0.002), PRM-SUVlo f hi (r = 0.52,p = 0.02), and PRM-SUVlo D hi (r = 0.74,p < 0.001) positively correlated with ΔGTV. Conclusion IVIM and PET was performed on cervical cancer patients undergoing CCRT and we observed that both IVIM-f and IVIM-D increased during treatment. Additionally, PRM was applied, and sub-volumes were identified that were related to ΔGTV.
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Affiliation(s)
- Dante P I Capaldi
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Jen-Yeu Wang
- Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Lianli Liu
- Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Vipul R Sheth
- Department of Radiology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Elizabeth A Kidd
- Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Dimitre H Hristov
- Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, CA, USA
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Li X, Li L, Huang L, Chen J, Peng S, Tang J, Zhang W, Du J, Liu T. Field-of-view optimized and constrained undistorted single shot intravoxel incoherent motion diffusion-weighted imaging of the cervix during the menstrual cycle: A prospective study. Magn Reson Imaging 2024; 107:47-54. [PMID: 38218204 DOI: 10.1016/j.mri.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/15/2024]
Abstract
OBJECTIVE To provide insight into the biological characteristics of the healthy cervix by defining intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters across the menstrual cycle. METHODS Forty-three females of reproductive age (18-45 years old) were included in this prospective study. Conventional magnetic resonance imaging (MRI) and IVIM-DWI scans were performed at multiple time-points across the menstrual cycle: T1 (menses), T2 (follicular phase), T3 (luteal phase). Intra- and interobserver repeatability of the IVIM-DWI values were evaluated with intraclass correlation coefficients (ICC), and D* was excluded from the analyses due to poor repeatability. Differences in each IVIM-DWI parameter among T1, T2, and T3 were explored. Subjects were stratified by age and parity for subgroup analyses (younger [18 - < 30 years] vs. older [≥30-45 years]; parity 0 vs. parity 1 and 2). Correlations between subject age and IVIM-DWI parameters were assessed. The overlap for each IVIM-DWI parameter among T1, T2, and T3 was evaluated. RESULTS ADC and D values of the cervix were significantly lower at T3 compared with T1 (p = 0.02 and 0.03) or T2 (p < 0.01 and < 0.01). In younger subjects (n = 26), ADC and D values were significantly lower at T3 compared with T1 (p < 0.01 and p = 0.02) or T2 (p = 0.03 and p = 0.04). In older subjects (n = 17), ADC values were significantly higher at T2 compared with T1 (p = 0.01) or T3 (p = 0.01). There were significant differences in ADC values at T1 in subgroup analyses stratified by age and parity (both p < 0.01). There was a moderate correlation between age and ADC values at T1. Overlap for IVIM-DWI parameters across the menstrual cycle was >50%. CONCLUSION ADC and D values of the heathy cervix differed across the menstrual cycle. Age and parity may influence the ADC value.
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Affiliation(s)
- Xiaodan Li
- Department of Gynaecology, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Lina Li
- Department of Gynaecology, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Lesheng Huang
- Department of Radiology, Guangdong Provincal Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Jun Chen
- Department of Radiology, Guangdong Provincal Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Se Peng
- Department of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Jiahui Tang
- Department of Radiology, Guangdong Provincal Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Wanchun Zhang
- Department of Radiology, Guangdong Provincal Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Juan Du
- Department of Gynaecology, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai 519000, China
| | - Tianzhu Liu
- Department of Radiology, Guangdong Provincal Hospital of Chinese Medicine, Zhuhai 519000, China.
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Bao X, Bian D, Yang X, Wang Z, Shang M, Jiang G, Shi J. Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer. Eur Radiol 2023; 33:9182-9193. [PMID: 37382618 DOI: 10.1007/s00330-023-09813-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/26/2023] [Accepted: 03/28/2023] [Indexed: 06/30/2023]
Abstract
OBJECTIVES This study aimed to explore the predictive value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and diffusion kurtosis imaging (DKI) quantitative parameters for the response to neoadjuvant chemo-immunotherapy (NCIT) in resectable non-small-cell lung cancer (NSCLC) patients, so as to provide a basis for clinical individualized precision treatment. METHODS Treatment naive locally advanced NSCLC patients who enrolled in 3 prospective, open-label, and single-arm clinical trials and received NCIT were retrospectively analyzed in this study. Functional MRI imaging was performed at baseline and following 3 weeks of treatment as an exploratory endpoint to evaluate treatment efficacy. Univariate and multivariate logistic regressions were used to identify independent predictive parameters for NCIT response. Prediction models were built with statistically significant quantitative parameters and their combinations. RESULTS In total of 32 patients, 13 were classified as complete pathological response (pCR) and 19 were non-pCR. Post-NCIT ADC, ΔADC, and ΔD values in the pCR group were significantly higher than those in the non-pCR group, while the pre-NCIT D, post-NCIT Kapp, and ΔKapp were significantly lower than those in non-pCR group. Multivariate logistic regression analysis demonstrated that pre-NCIT D and post-NCIT Kapp values were independent predictors for NCIT response. The combined predictive model, which consisted of IVIM-DWI and DKI, showed the best prediction performance with AUC of 0.889. CONCLUSIONS The pre-NCIT D, post-NCIT parameters (ADC and Kapp) and Δ parameters (ΔADC, ΔD, and ΔKapp) were effective biomarkers for predicting pathologic response, and pre-NCIT D and post-NCIT Kapp values were independent predictors of NCIT response for NSCLC patients. CLINICAL RELEVANCE STATEMENT This exploratory study indicated that IVIM-DWI and DKI MRI imaging would predict pathologic response of neoadjuvant chemo-immunotherapy in locally advanced NSCLC patients at initial state and early treatment, which could help make clinical individualized treatment strategies. KEY POINTS • Effective NCIT treatment resulted in increased ADC and D values for NSCLC patients. • The residual tumors in non-pCR group tend to have higher microstructural complexity and heterogeneity, as measured by Kapp. • Pre-NCIT D and post-NCIT Kapp values were independent predictors of NCIT response.
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Affiliation(s)
- Xiao Bao
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Xing Yang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Zheming Wang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Mingdong Shang
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
| | - Jingyun Shi
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
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Ciulla S, Celli V, Aiello AA, Gigli S, Ninkova R, Miceli V, Ercolani G, Dolciami M, Ricci P, Palaia I, Catalano C, Manganaro L. Post treatment imaging in patients with local advanced cervical carcinoma. Front Oncol 2022; 12:1003930. [PMID: 36465360 PMCID: PMC9710522 DOI: 10.3389/fonc.2022.1003930] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/26/2022] [Indexed: 10/29/2023] Open
Abstract
Cervical cancer (CC) is the fourth leading cause of death in women worldwide and despite the introduction of screening programs about 30% of patients presents advanced disease at diagnosis and 30-50% of them relapse in the first 5-years after treatment. According to FIGO staging system 2018, stage IB3-IVA are classified as locally advanced cervical cancer (LACC); its correct therapeutic choice remains still controversial and includes neoadjuvant chemo-radiotherapy, external beam radiotherapy, brachytherapy, hysterectomy or a combination of these modalities. In this review we focus on the most appropriated therapeutic options for LACC and imaging protocols used for its correct follow-up. We explore the imaging findings after radiotherapy and surgery and discuss the role of imaging in evaluating the response rate to treatment, selecting patients for salvage surgery and evaluating recurrence of disease. We also introduce and evaluate the advances of the emerging imaging techniques mainly represented by spectroscopy, PET-MRI, and radiomics which have improved diagnostic accuracy and are approaching to future direction.
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Affiliation(s)
- S Ciulla
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - V Celli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - A A Aiello
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy
| | - S Gigli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - R Ninkova
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - V Miceli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - G Ercolani
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - M Dolciami
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - P Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - I Palaia
- Department of Maternal and Child Health and Urological Sciences, Sapienza, University of Rome, Rome, Italy
| | - C Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - L Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
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Dolciami M, Capuani S, Celli V, Maiuro A, Pernazza A, Palaia I, Di Donato V, Santangelo G, Rizzo SMR, Ricci P, Della Rocca C, Catalano C, Manganaro L. Intravoxel Incoherent Motion (IVIM) MR Quantification in Locally Advanced Cervical Cancer (LACC): Preliminary Study on Assessment of Tumor Aggressiveness and Response to Neoadjuvant Chemotherapy. J Pers Med 2022; 12:jpm12040638. [PMID: 35455755 PMCID: PMC9027075 DOI: 10.3390/jpm12040638] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 01/27/2023] Open
Abstract
The aim of this study was to determine whether quantitative parameters obtained from intravoxel incoherent motion (IVIM) model at baseline magnetic resonance imaging (MRI) correlate with histological parameters and response to neoadjuvant chemotherapy in patients with locally advanced cervical cancer (LACC). Methods: Twenty patients with biopsy-proven cervical cancer, staged as LACC on baseline MRI and addressed for neoadjuvant chemotherapy were enrolled. At treatment completion, tumor response was assessed with a follow-up MRI evaluated using the revised response evaluation criteria in solid tumors (RECIST; version 1.1), and patients were considered good responders (GR) if they had complete response or partial remission, and poor responders/non-responders (PR/NR) if they had stable or progressive disease. MRI protocol included conventional diffusion-weighted imaging (DWI; b = 0 and 1000 s/mm2) and IVIM acquisition using eight b-values (range: 0–1500 s/mm2). MR-images were analyzed using a dedicated software to obtain quantitative parameters: diffusion (D), pseudo-diffusion (D*), and perfusion fraction (fp) from the IVIM model; apparent diffusion coefficient (ADC) from conventional DWI. Histologic subtype, grading, and tumor-infiltrating lymphocytes (TILs) were assessed in each LACC. Results: D showed significantly higher values in GR patients (p = 0.001) and in moderate/high TILs (p = 0.018). Fp showed significantly higher values in squamous cell tumors (p = 0.006). Conclusions: D extracted from the IVIM model could represent a promising tool to identify tumor aggressiveness and predict response to therapy.
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Affiliation(s)
- Miriam Dolciami
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Silvia Capuani
- CNR Institute for Complex Systems (ISC), Physics Department, Sapienza University of Rome, 00161 Rome, Italy;
| | - Veronica Celli
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | | | - Angelina Pernazza
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Innocenza Palaia
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Violante Di Donato
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Giusi Santangelo
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Stefania Maria Rita Rizzo
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland;
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, 6900 Lugano, Switzerland
| | - Paolo Ricci
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
- Unit of Emergency Radiology, Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy
| | - Carlo Della Rocca
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
- Correspondence: ; Tel.: +39-3338151295
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