Introduction
Diffusion-weighted imaging (DWI) quantifies an estimate of water mobility obtained by magnetic resonance imaging (MRI), is useful for assessing sub-voxel microstructure in tissues, correlates with tumor cellularity, and has been shown to be useful in the early evaluation of cytotoxic therapy in a variety of cancers [1–5].
Diffusion tensor imaging (DTI) is a non-invasive MRI-based approach that detects white matter structure more accurately than conventional MRI. Water diffusion in tissues is measured using DTI, an MRI method that analyzes the preferred direction and amount of the water’s movement. Water diffusion in white matter tracts is often directionally dependent or anisotropic because of the ordered structure of axons and myelin sheaths. Radiation-induced white matter damage may be evaluated noninvasively using DTI, which has a long history of supporting evidence as an imaging biomarker [6–10].
DTI assesses water molecule diffusion in the brain, which changes with white matter fiber direction, density, and myelination. Mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) are three related values of this measurement. These indices are related to the magnitudes of diffusion that are perpendicular and parallel to white matter fibers, respectively. The fractional anisotropy (FA) index is another kind of diffusion index that is often employed. It is a normalized value that may vary from zero (which indicates equal diffusion in all directions) to one (diffusion along a single axis only). FA is a measure of the overall density and integrity of the brain’s white matter; a reduction in FA has been linked to a wide variety of brain disorders [7, 11–17].
Radiation therapy (RT) for primary brain tumors and brain metastases from extracranial tumors is performed annually on hundreds of thousands of patients around the world [18–23]. There are two types of brain radiotherapy: whole brain (WBRT) and partial brain (PBRT). WBRT involves irradiating the whole brain and brainstem, whereas PBRT involves irradiating the tumor or tumor bed and surrounding margin and some healthy brain tissue [21, 24, 25]. Stereotactic radiosurgery (SRS) uses accurate 3D imaging and localization to deliver ablative doses of radiation to the tumor while exposing healthy brain tissue to a minimum [23, 25].
RT may cause post-treatment neurocognitive deterioration, with verbal and visuospatial memory being the most commonly reported. Neurocognitive decline has been an independently associated predictor of survival in individuals with brain malignancies, and the long-term consequences of RT are usually permanent and gradual [12, 26]. Damage to white matter (WM) pathways, vascular injury, and neuroinflammation are all factors that contribute to radiation-induced brain damage. Axonal degeneration and demyelination of WM have been shown in histopathological investigations following radiation exposure, and diffusion tensor imaging (DTI) biomarkers are related to these alterations [12, 27, 28].
Based on our research, the aim of the study is to collect and classify brain diffusion MRI biomarkers after chemoradiotherapy.
Materials and methods
Search strategy
On November 12th, 2021, the search for articles was started, and on July 3rd, 2022, it was completed. Diffusion MRI, Brain, Chemoradiotherapy, Imaging Biomarker, and Neuroimaging were among the keywords used in the search, which were entered into the following template in the PubMed electronic database and the Google Scholar search engine.
Inclusion criteria (refer to DWI biomarkers) were as follows:
- • English-language original articles;
- • original and review studies looked at DWI biomarkers after brain chemoradiotherapy and used MRI data;
- • original research that looked at long-term cognitive and behavioral disorders.
- • Exclusion criteria were as follows:
- • all of the articles are written in languages other than English;
- • case studies and short reports;
- • the studies did not employ an MRI or any other imaging modality (particularly in cases of neurological manifestations).
Literature screening
Approximately 100 publications were discovered during the first search, which comprised original studies, review articles, case reports, and short reports. As a result, case studies and short reports were excluded, but the references in the literature review were examined. After the final evaluation, 32 original papers and 6 review articles remained based on the inclusion and exclusion criteria. Biomarkers and long-term cognitive-behavioral disorders were comprehensively retrieved from all of the papers in the reference list.
The following parameters were considered throughout the search:
- • first author;
- • the date of publication;
- • using MRI.
Finally, after doing database searches and collecting publications, they were divided into three categories: white matter changes, radiation necrosis, and neurocognitive damages.
MRI
Devices
Various investigations have employed devices of varying field strengths and commercial models to study changes in diffusion parameters in brain tissue in relation to necrotic and neurocognitive damage. The types of these devices include a 3.0T system (Philips Medical Systems, Best, the Netherlands), a 3.0T system (Achieva, Philips, Eindhoven, The Netherlands), a 3.0T 750, and 1.5 T and Signa Excite HDx scanner (General Electric Healthcare, Milwaukee, Wisconsin, United States), a Signa 1.5T and 3.0T scanner (General Electric Healthcare, Chicago, IL, United States), a Sonata 1.5T scanner (Siemens Healthcare, Erlangen, Germany), a TimeTrio 3.0T scanner (Siemens Medical Solutions, Malvern, PA, USA), and a 3.0T scanner (Trio MAGNETOM; Siemens Healthcare, Erlangen, Germany) cases. It is important to note that in some experiments, just one or even three types of a device were employed.
Diffusion-weighted techniques
DWI
DWI is a potential MRI technique for characterizing the response to RT and the damage to normal tissue. Changes in the mobility of water molecules in tissue are reflected in the MR signal in DWI. Brownian motion, as it is often referred to, is the result of heat agitation and is strongly impacted by the water’s cellular structure. Neurosurgical evaluations of brain tumors may greatly benefit from DWI. One of the most commonly used parameters derived from DWI is the apparent diffusion coefficient (ADC), which quantifies the magnitude of water diffusion in tissue. ADC can provide valuable information about tumor cellularity, necrosis, edema, and perfusion, which can help in diagnosis, prognosis, treatment planning, and monitoring of brain tumors. ADC can also detect early changes in tissue microstructure after RT, which can indicate the efficacy of treatment and the risk of complications. Therefore, ADC is an important biomarker for assessing brain tumors and their response to RT [28, 29].
DTI
The advanced DTI technique is a helpful tool for measuring the damage to white matter that is caused by radiation. It is able to detect abnormalities much earlier than conventional imaging approaches. It is feasible to use the DTI’s capacity to identify white matter degradation in order to determine whether or not RT has varied detrimental effects on various parts of the brain [29, 30].
We selected MD, RD, AD, and FA as biomarkers because they capture different aspects of white matter microstructure and integrity that can be altered by brain disorders. MD reflects the average diffusion of water molecules in the brain tissue, which can be affected by factors such as cell density, membrane permeability, and extracellular space. RD reflects the diffusion of water molecules orthogonal to the main fiber direction, which can be indicative of demyelination or axonal loss. AD reflects the diffusion of water molecules along the main fiber direction, which can be suggestive of axonal damage or degeneration. FA reflects the degree of anisotropy or directionality of water diffusion in the brain tissue, which can be associated with fiber coherence, organization, and alignment. These parameters have been widely used and validated in previous studies of various brain disorders, and they provide complementary information about the structural changes in white matter that may underlie the pathophysiology of these disorders. We did not use other parameters, such as mode of anisotropy or trace of the diffusion tensor, because they are less commonly used and less informative than the ones we selected [12, 27, 28].
Chemoradiation therapy techniques
Chemotherapy
Chemotherapy medications may be used after surgery, in conjunction with radiotherapy, in cases of recurrence of the disease, or even as a substitute for radiation treatment in children, depending on the patient’s health. Brain tumors cannot be effectively treated with chemotherapy alone because of the blood-brain barrier (BBB) [31, 32].
External radiotherapy
Based on the type and location of the lesion, different radiotherapy techniques are used to treat brain tumors. For the most precise RT treatment, stereotactic radiosurgery (SRS) makes use of three-dimensional (3D) imaging to locate and treat brain malignancies in a single session. Some SRS techniques include the X-ray knife and the Gamma-knife [33–35].
Other methods of external radiotherapy include delivering the tumor from the outside in numerous doses. Three-dimensional conformal radiation therapy (3D-CRT) reliably identifies the planning target volume (PTV) and adjacent organs at risk (OARs) using 3D imaging [36]. In order to optimize the radiation flux profile, novel modulation systems, named intensity modulated radiation therapy (IMRT), computer-controlled multi-leaf dynamic collimators, and methodologies such as inverse planning are required to apply this strategy [37, 38] .The most recent versions include rotating cone beams as therapy with multiple arcs at a consistent dose rate in each different sub-field of radiation or volumetric modulated arc therapies (VMAT) as treatment with rotating cone beam radiation with varying shapes and radiation intensities [39, 40].
Results and Discussion
Brain diffusion MRI biomarkers
White matter changes
Neuron myelinated fibers, also known as tracts, are found in white matter (WM), the deepest component of the brain tissue in the central nervous system. The white matter tracts of the corpus callosum and the internal capsules are crucial [41]. RT for various types of brain tumors, such as gliomas, medulloblastomas, and meningiomas, will always lead to alterations in the tumor’s volume and the ratio of intracellular to extracellular volumes [42–44]. DTI and DWI, by using intrinsic tissue properties, offer a helpful quantitative evaluation of tissue structure, particularly myelinated fiber bundles in WM [45, 46].
Radiation necrosis
Focal neurological impairments are often associated with radiation necrosis, which affects mostly the white matter and is generally permanent and progressive [47]. According to the structure of the nerve fiber axons and the myelin sheath, the flow of water molecules along the length of the nerve fiber is greater than in other directions. Due to the existence of numerous membranes, restricted space, and high viscosity, the quantity of movement of water molecules in the intracellular space is smaller than that in the extracellular environment. As a result, since radiation affects the ratio of intracellular to extracellular volumes, diffusion imaging biomarkers are very useful to assess radiation damage. Utilizing these biomarkers, like other MR imaging procedures, is non-invasive and does not require any further interventions. White matter is particularly vulnerable to radiation damage because of the way water molecules move through the tissue [48]. White matter axial and radial diffusivity changes are often interpreted as indicators of axonal injury or demyelination [49]. After beginning RT, an imaging biomarker might be used to determine the radiation sensitivity of an individual’s brain normal tissue [50].
Neurocognitive damages
Neurocognitive abnormalities are clearly linked to radiation treatment and are an important adverse effect of life-saving interventions in youngsters [51]. After irradiation, cognitive loss may begin to show up months or years later and worsen with time [52]. IMRT, stereotactic radiosurgery, intracranial brachytherapy, and restricted fraction size may minimize normal tissue damage [53]. Some neuropsychological deficiencies (such as a lack of ability to recall information or spatially interpret information) still persist [54, 55].
Table 1 provides the findings that relate to alterations in diffusion biomarkers in WM changes, radiation necrosis, and neurocognitive damage. As well, Table 2 is a representation of the common alterations that have occurred in the most significant MR diffusion biomarkers, including FA, MD, RD, AD, and ADC.
First author [year] |
Patient numbers |
Imaging technique(s) |
Max. directions/b-values [s/mm2] |
Radiotherapy technique(s) |
Total dose/fraction size [Gy] |
Chemotherapy |
Imaging biomarker(s) |
Brain tumor(s) |
Changes in imaging biomarker(s) |
White matter changes |
|||||||||
Chakhoyan (2018) [56] |
23 |
DWI |
NA/0, 50, 100, 250, 500, 750, 1000, 2500, 3500 and 5000 |
3D-CRT |
60/2 |
Temozolomide |
ADC |
Glioblastoma |
No difference in diffusion biomarkers change in NAWM between pre- and post-chemoradiation |
Nagesh (2008) [6] |
25 |
DTI |
9/0 and 1000 |
3D-CRT |
50–81/1.8–2.7 |
Temozolomide |
FA |
Cerebral tumors |
FA decreased, and MD, RD, and AD increased in the genu and splenium |
Hope (2015) [57] |
18 |
DTI |
15/0 and 800 |
3D-CRT |
60/2 |
Temozolomide |
FA |
HGGs |
In FA, no significant time evolution was observed, and there was increased MD, RD, and AD in NAWM |
Haris (2008) [58] |
5 |
DTI |
10/0 and 1000 |
3D-CRT |
54/1.8 |
Temozolomide |
FA |
LGGs |
FA decreased and MD increased in NAWM |
Tringale (2019) [59] |
54 |
DTI |
15/0, 500, 1500, and 4000 |
Proton or photons RT |
50.4–60/1.8–2 |
NA |
FA |
Primary brain tumor |
whereas FA decreased in the right caudal anterior cingulate, MD, RD increased bilaterally, whereas no significant changes in AD were found during this time-period |
Chapman (2012) [60] |
10 |
DTI |
9/0 and 1000 |
3D-CRT |
50.4–59.4/1.8 |
NA |
FA |
Benign tumors |
While FA was used for volume adjustment, it was not included in the analysis. Following RT, AD decreased and RD increased |
Connor (2016) [61] |
32 |
DTI |
15/0, 500, 1500, and 4000 |
EBRT |
60/2 |
Chemotherapy |
FA |
HGGs |
MD, AD, and RD increased significantly with time and dose, and a corresponding decrease in FA |
Chang (2014) [62] |
15 |
DWI DTI |
6/0 and 1000 |
Partial brain irradiation or SRS |
18–25 |
NA |
ADC |
Malignant gliomas |
ADC increased (receiving more than 5 Gy) and decreased (more than 12 Gy) after 7 days and 2 months. FA decreased more after 2 months |
Tibbs (2020) [63] |
44 |
DTI |
15/0, 500, 1500, and 4000 |
Proton therapy and IMRT or VMAT |
50.4–70/1.8–2 |
NA |
FA |
Primary brain tumor |
There was decreased FA in the left arcuate fasciculus, ILF, and IFOF. Increased MD in all of the left-sided white matter tracts, left arcuate fasciculus, ILF, IFOF |
Qiu (2007) [64] |
22 |
DTI |
25/0 and 1200 |
3D-CRT |
23.4–40/1.8–2 |
Chemotherapy |
FA |
Medulloblastoma |
Decreased FA in the frontal lobe and parietal lobe white matter, and the frontal lobe having a significantly larger difference in FA compared with the parietal lobe |
Connor (2017) [48] |
49 |
DTI |
15/0, 500, 1500, and 4000 |
3D-CRT |
60/2 |
NA |
FA |
Primary brain tumors |
Decreases in FA connote white matter disruption. For MD, the column and body of fornix, cingulum bundle, tapetum, and genu and body of the corpus callosum were among the ROIs to show the most dose sensitivity |
Zhu (2016) [65] |
33 |
DTI |
20/0, 800, and 1000 |
EBRT |
50.4–70/2 |
NA |
AD |
Low-grade or benign brain tumors |
There was a dose-dependent progressive decrease in AD over time after RT. RD was significantly related to maximum doses received |
Ding (2017) [66] |
87 |
DTI |
NA/0 and 1000 |
2D-CRT or IMRT |
50–76/2 |
Chemotherapy |
FA |
Nasopharyngeal carcinoma patients with normal-appearing brains |
Within an FA mask in the putative white matter, there was a significant reduction in the FA value. Specifically, after 12 months of follow ups from the completion of RT, the FA in the bilateral splenium of the corpus callosum was reduced compared to the pre‐RT level |
Hua (2012) [10] |
109 DTI studies (from 20 brain tumor patients) |
DTI |
12/0 and 1000 |
3D-CRT |
23.4 Gy or 36–39.6 Gy/1.8 |
Chemotherapy |
FA |
Medulloblastomas, supratentorial primitive neuroectodermal tumors, atypical teratoid rhabdoid tumors, and HGGs |
Decreased FA |
Raschke (2019) [67] |
22 |
DTI |
32/0 and 1000 |
Proton or photon therapy |
13.6 |
Chemotherapy |
MD |
HGGs |
Significant reductions in MD, RD, and AD and an increase in FA |
Chapman (2013) [30] |
14 |
DTI |
15/0 and 1000 |
3D-CRT |
30 and 37.5/3 and 2.5 |
Chemotherapy |
FA |
Brain white matter structures |
Significant FA decreases and RD increases. There were no significant changes in AD between pre-RT and end-RT |
Huynh-Le (2021) [68] |
44 |
DTI |
15/0, 500, 1500, and 4000 |
Proton therapy, IMRT, and VMAT |
50.4–70/1.8–2 |
NA |
MD |
Primary brain tumors |
Reduction in FA and an increase in MD |
Sahin (2021) [69] |
17 |
DTI |
7/0 and 1000 |
EBRT |
60/2 |
Chemotherapy |
FA |
Glioblastoma |
FA decrease |
Cho (2020) [70] |
40 |
DWI |
NA/0 and 1000 |
EBRT |
NA |
Chemotherapy |
ADC |
Glioblastoma |
The ipsilesional SVZ had lower ADC values compared to the contralesional SVZ before treatment, as ADC values of the ipsilesional SVZ increased |
Khong (2003) [71] |
9 |
DTI |
25/0 and 1200 |
3D-CRT |
30.6–40 and 50.4–54/1.8–2 |
NA |
FA |
Medulloblastoma |
Significant reduction of FA was seen in all anatomic sites in the patient group compared with FA in control subjects, except in the frontal periventricular WM. |
Mabbott (2006) [72] |
8 |
DWI DTI |
25/0 and 1000 |
3D-CRT |
36–36.6 and 23.4/NA |
Either etoposide/cisplatin/cyclophosphamide/vincristine or CCNU/vincristine/cisplatin |
ADC |
Medulloblastoma |
Overall, mean FA was lower and ADC was higher in the radiated group relative to controls |
Ravn (2013) [29] |
19 |
DWI |
32/0 and 1300 |
3D-CRT |
45–59.4/1.8 |
NA |
ADC |
Astrocytoma, pituitary adenoma, meningioma, and craniopharyngioma |
ADC increase |
Khong (2006) [73] |
20 |
DTI |
25/0 and 1250 |
3D-CRT |
50–55.8/NA |
Chemotherapy |
FA |
Childhood MED and ALL |
FA increase |
Makola (2017) [74] |
22 |
DTI |
25/0 and 1000 |
EBRT |
45–59.4/NA |
With or without chemotherapy |
FA |
A pediatric brain tumor |
The FA and RD did not change significantly |
Prust (2015) [75] |
14 |
DWI |
NA |
3D-CRT |
60/2 |
Chemotherapy |
ADC |
Glioblastoma |
ADC increased within the subventricular zone |
Radiation necrosis |
|||||||||
Nazem-Zadeh (2014) [76] |
29 |
DTI |
9/0 and 1000 |
3D-CRT |
60 and 66–81/2 and 2.5–2.6 |
Temozolomide |
RD |
Glioblastoma |
RD increase |
Liu (2018) [80] |
43 |
DWI |
NA/0 and 1000 |
EBRT |
40–50/NA |
Chemotherapy |
ADC |
Brain metastases from lung cancer |
ADC values significantly increased after both one and two treatment cycles. In effective group, the ADC values were significantly increased after one and two treatment cycles. While, there are no difference in invalid group after one treatment cycle but decreased after two treatment cycles |
Feng (2022) [81] |
46 |
DWI |
20/0 and 1000 |
EBRT |
NA |
Surgical intervention followed by chemoradiotherapy |
ADC |
Glioblastoma |
Significant differences between the tumor recurrence from radiation necrosis groups in terms of ADC |
Neurocognitive damages |
|||||||||
Tringale (2019) [59] |
54 |
DTI |
15/0, 500, 1500, and 4000 |
Proton or photons RT |
50.4–60/1.8–2 |
Chemotherapy |
FA |
Glioma and non-glioma |
There were decreases in FA and increases in MD in the CAC at 3-months post-RT. CAC changes were characterized by increased RD bilaterally. AD did not change significantly |
Chapman (2012) [60] |
10 |
DTI |
9/0 and 1000 |
3D-CRT |
50.4–59.4/1.8 |
NA |
AD |
Low-grade or benign tumors |
Following RT, AD decreased and RD increased |
Chapman (2016) [77] |
27 |
DTI |
20/0 and 1000 |
3D-CRTand IMRT |
50.4–70/2 |
15% had concurrent chemotherapy with temozolomide |
RD |
Benign or low-grade tumors |
Decreasing AD and increasing RD during RT |
Bian (2018) [78] |
23 |
DTI |
32/0 and 1000 |
IMRT |
54 and 60/1.8 and 2 |
Temozolomid |
FA |
HGGs |
FA in the contralateral hippocampus decreased at 6 and 9 months after radiotherapy. FA in the ipsilateral hippocampus before radiochemotherapy decreased compared with 6 months after radiotherapy |
Tringale (2019) [12] |
27 |
DTI |
15/0, 500, 1500, and 4000 |
IMRT and proton therapy |
50.4–60/1.8-2 |
Chemotherapy |
FA |
Primary brain tumor |
Decreasing FA and increasing MD |
Law (2011) [79] |
67 |
DTI |
31/0 and 1000 |
3D-CRT |
23.4–36/NA |
Chemotherapy |
FA |
Posterior fossa tumor |
All imaging biomarkers have not changed significantly |
Radiation damages |
MR diffusion biomarker changes |
||||
FA |
MD |
RD |
AD |
ADC |
|
White matter changes |
|
|
|
|
Dependent on radiation dose |
Radiation necrosis |
N/A |
N/A |
|
N/A |
N/A |
Naurocognitive damages |
|
|
|
N/A |
N/A |
Conclusion
Neuroimaging biomarkers after chemoradiotherapy were evaluated using diffusion imaging methods (DWI and DTI). We found that biomarkers change depending on the degree of tissue damage. Some studies demonstrate that biomarker alterations are increasing, while others show that they are decreasing. As a consequence, there is disagreement over the general pattern of change. Even so, FA changes are predicted to decrease, whereas MD and RD changes are expected to increase. It is proposed that further longitudinal studies be conducted to determine the effectiveness of diffusion imaging biomarkers.
Conflict of interest
The authors declare no financial or other conflicts of interest.
Funding
No funding.
Author’s Contributions
S.G. and M.M. contributed to the conception and design of the study; Sh.B., F.M., M.Z., and Gh.T. contributed to the data collection. S.G. and M.M. contributed to drafting the text and preparing the Table 2.
Ethical statement
No human or animal subjects were used in the research.